diff options
| author | Pjotr Prins | 2020-04-26 12:32:46 -0500 |
|---|---|---|
| committer | Pjotr Prins | 2020-04-26 12:32:46 -0500 |
| commit | 14d49450c47e8ef3b34bca9e759acd371319a854 (patch) | |
| tree | 3f45b7455ec114ebdd9fdd2f2c4a92c9eb3cf756 | |
| parent | 33e2e09d00881de9b07274bc52b58587e5135cab (diff) | |
| parent | 15d8e24da26cf6d42d1bdb8a9a189b9ec061d147 (diff) | |
| download | genenetwork2-14d49450c47e8ef3b34bca9e759acd371319a854.tar.gz | |
Merge master and testingmaster
185 files changed, 22429 insertions, 28235 deletions
@@ -1 +1,16 @@ *.pyc +*.orig +*.bak +*.cross +*~ +*.swo +*.swp +genotype_files/genotype/HSNIH_copy.geno +web/new_genotypes/HSNIH.json +wqflask/secure_server.py +build/ +dist/ +*.egg-info/ +EGG-INFO/ +wqflask/output/* +wqflask/wqflask/static/output/* @@ -33,8 +33,10 @@ env GN2_PROFILE=~/opt/gn-latest SERVER_PORT=5300 GENENETWORK_FILES=~/data/gn2_da For full examples (you may need to set a number of environment variables), including running scripts and a Python REPL, also see the -startup script -[./bin/genenetwork2](https://github.com/genenetwork/genenetwork2/blob/testing/bin/genenetwork2). +startup script [./bin/genenetwork2](https://github.com/genenetwork/genenetwork2/blob/testing/bin/genenetwork2). + +Also Mysql and Elasticsearch need to be running, see +[INSTALL](./doc/README.org). ## Testing diff --git a/RELEASE-NOTES.md b/RELEASE-NOTES.md index d15cad1a..9ad75aa0 100644 --- a/RELEASE-NOTES.md +++ b/RELEASE-NOTES.md @@ -1,4 +1,4 @@ -## ChangeLog v2.11 (date unknown) +## ChangeLog v2.11 pre-release (date unknown) This is a massive bug fix release with many improvements. For contributions see @@ -6,12 +6,37 @@ see and [commits](https://github.com/genenetwork/genenetwork2/commits/master). +The current GNU Guix checkout is at + +https://gitlab.com/genenetwork/guix-bioinformatics/tree/gn-latest-20190213 + +and + +https://gitlab.com/genenetwork/guix/tree/gn-latest-20190213 + +With these branches a binary install can be fetched with + + env GUIX_PACKAGE_PATH=../guix-bioinformatics ./pre-inst-env guix package --substitute-urls="https://berlin.guixsd.org http://guix.genenetwork.org https://mirror.hydra.gnu.org" -i genenetwork2 -p ~/opt/gn-latest-20190213 + +The key for guix.genenetwork.org is + +```scheme +(public-key + (ecc + (curve Ed25519) + (q #D54AA5C8CBE268CBC82418AB83709611BAC88B39D44E68C18F6E16197B5B5CA0#) + ) + ) +``` + +### Migrated PIL to pillow (preparing for Python3 migration) + +### Dropped pylmm support + ### Added GEMMA support -* Front-end support +* Front-end support ### Added test framework and unit tests * Added python integration and unit tests - - diff --git a/bin/genenetwork2 b/bin/genenetwork2 index 006e87ba..759c71dc 100755 --- a/bin/genenetwork2 +++ b/bin/genenetwork2 @@ -25,7 +25,7 @@ # webserver) run from the base-dir with settings file and add that # script with a -c switch, e.g. # -# env GN2_PROFILE=~/opt/gn-latest ./bin/genenetwork2 ./etc/default_settings.py -c ./maintenance/gen_select_dataset.py +# env GN2_PROFILE=/usr/local/guix-profiles/gn-latest-20190905 TMPDIR=/export/local/home/zas1024/gn2-zach/tmp WEBSERVER_MODE=DEBUG LOG_LEVEL=DEBUG SERVER_PORT=5002 GENENETWORK_FILES=/export/local/home/zas1024/gn2-zach/genotype_files SQL_URI=mysql://webqtlout:webqtlout@lily.uthsc.edu/db_webqtl ./bin/genenetwork2 ./etc/default_settings.py -c ./maintenance/gen_select_dataset.py # # To run any script in the environment # @@ -131,7 +131,6 @@ else export LC_ALL=C # FIXME export GUIX_GENENETWORK_FILES="$GN2_PROFILE/share/genenetwork2" export PLINK_COMMAND="$GN2_PROFILE/bin/plink2" - export PYLMM_COMMAND="$GN2_PROFILE/bin/pylmm_redis" export GEMMA_COMMAND="$GN2_PROFILE/bin/gemma" if [ -z $GEMMA_WRAPPER_COMMAND ]; then export GEMMA_WRAPPER_COMMAND="$GN2_PROFILE/bin/gemma-wrapper" diff --git a/doc/API_readme.md b/doc/API_readme.md new file mode 100644 index 00000000..be6668dc --- /dev/null +++ b/doc/API_readme.md @@ -0,0 +1,169 @@ +# API Query Documentation # +--- +# Fetching Dataset/Trait info/data # +--- +## Fetch Species List ## + +To get a list of species with data available in GN (and their associated names and ids): +``` +curl http://genenetwork.org/api/v_pre1/species +[ { "FullName": "Mus musculus", "Id": 1, "Name": "mouse", "TaxonomyId": 10090 }, ... { "FullName": "Populus trichocarpa", "Id": 10, "Name": "poplar", "TaxonomyId": 3689 } ] +``` + +Or to get a single species info: +``` +curl http://genenetwork.org/api/v_pre1/species/mouse +``` +OR +``` +curl http://genenetwork.org/api/v_pre1/species/mouse.json +``` + +*For all queries where the last field is a user-specified name/ID, there will be the option to append a file format type. Currently there is only JSON (and it will default to JSON if none is provided), but other formats will be added later* + +## Fetch Groups/RISets ## + +This query can optionally filter by species: + +``` +curl http://genenetwork.org/api/v_pre1/groups (for all species) +``` +OR +``` +curl http://genenetwork.org/api/v_pre1/groups/mouse (for just mouse groups/RISets) +[ { "DisplayName": "BXD", "FullName": "BXD RI Family", "GeneticType": "riset", "Id": 1, "MappingMethodId": "1", "Name": "BXD", "SpeciesId": 1, "public": 2 }, ... { "DisplayName": "AIL LGSM F34 and F39-43 (GBS)", "FullName": "AIL LGSM F34 and F39-43 (GBS)", "GeneticType": "intercross", "Id": 72, "MappingMethodId": "2", "Name": "AIL-LGSM-F34-F39-43-GBS", "SpeciesId": 1, "public": 2 } ] +``` + +## Fetch Genotypes for Group/RISet ## +``` +curl http://genenetwork.org/api/v_pre1/genotypes/bimbam/BXD +curl http://genenetwork.org/api/v_pre1/genotypes/BXD.bimbam +``` +Returns a group's genotypes in one of several formats - bimbam, rqtl2, or geno (a format used by qtlreaper which is just a CSV file consisting of marker positions and genotypes) + +Rqtl2 genotype queries can also include the dataset name and will return a zip of the genotypes, phenotypes, and gene map (marker names/positions). For example: +``` +curl http://genenetwork.org/api/v_pre1/genotypes/rqtl2/BXD/HC_M2_0606_P.zip +``` + +## Fetch Datasets ## +``` +curl http://genenetwork.org/api/v_pre1/datasets/bxd +``` +OR +``` +curl http://genenetwork.org/api/v_pre1/datasets/mouse/bxd +[ { "AvgID": 1, "CreateTime": "Fri, 01 Aug 2003 00:00:00 GMT", "DataScale": "log2", "FullName": "UTHSC/ETHZ/EPFL BXD Liver Polar Metabolites Extraction A, CD Cohorts (Mar 2017) log2", "Id": 1, "Long_Abbreviation": "BXDMicroArray_ProbeSet_August03", "ProbeFreezeId": 3, "ShortName": "Brain U74Av2 08/03 MAS5", "Short_Abbreviation": "Br_U_0803_M", "confidentiality": 0, "public": 0 }, ... { "AvgID": 3, "CreateTime": "Tue, 14 Aug 2018 00:00:00 GMT", "DataScale": "log2", "FullName": "EPFL/LISP BXD CD Liver Affy Mouse Gene 1.0 ST (Aug18) RMA", "Id": 859, "Long_Abbreviation": "EPFLMouseLiverCDRMAApr18", "ProbeFreezeId": 181, "ShortName": "EPFL/LISP BXD CD Liver Affy Mouse Gene 1.0 ST (Aug18) RMA", "Short_Abbreviation": "EPFLMouseLiverCDRMA0818", "confidentiality": 0, "public": 1 } ] +``` +(I added the option to specify species just in case we end up with the same group name across multiple species at some point, though it's currently unnecessary) + +## Fetch Individual Dataset Info ## +### For mRNA Assay/"ProbeSet" ### + +``` +curl http://genenetwork.org/api/v_pre1/dataset/HC_M2_0606_P +``` +OR +``` +curl http://genenetwork.org/api/v_pre1/dataset/bxd/HC_M2_0606_P``` +{ "confidential": 0, "data_scale": "log2", "dataset_type": "mRNA expression", "full_name": "Hippocampus Consortium M430v2 (Jun06) PDNN", "id": 112, "name": "HC_M2_0606_P", "public": 2, "short_name": "Hippocampus M430v2 BXD 06/06 PDNN", "tissue": "Hippocampus mRNA", "tissue_id": 9 } +``` +(This also has the option to specify group/riset) + +### For "Phenotypes" (basically non-mRNA Expression; stuff like weight, sex, etc) ### +For these traits, the query fetches publication info and takes the group and phenotype 'ID' as input. For example: +``` +curl http://genenetwork.org/api/v_pre1/dataset/bxd/10001 +{ "dataset_type": "phenotype", "description": "Central nervous system, morphology: Cerebellum weight, whole, bilateral in adults of both sexes [mg]", "id": 10001, "name": "CBLWT2", "pubmed_id": 11438585, "title": "Genetic control of the mouse cerebellum: identification of quantitative trait loci modulating size and architecture", "year": "2001" } +``` + +## Fetch Sample Data for Dataset ## +``` +curl http://genenetwork.org/api/v_pre1/sample_data/HSNIH-PalmerPublish.csv +``` + +Returns a CSV file with sample/strain names as the columns and trait IDs as rows + +## Fetch Sample Data for Single Trait ## +``` +curl http://genenetwork.org/api/v_pre1/sample_data/HC_M2_0606_P/1436869_at +[ { "data_id": 23415463, "sample_name": "129S1/SvImJ", "sample_name_2": "129S1/SvImJ", "se": 0.123, "value": 8.201 }, { "data_id": 23415463, "sample_name": "A/J", "sample_name_2": "A/J", "se": 0.046, "value": 8.413 }, { "data_id": 23415463, "sample_name": "AKR/J", "sample_name_2": "AKR/J", "se": 0.134, "value": 8.856 }, ... ] +``` + +## Fetch Trait List for Dataset ## +``` +curl http://genenetwork.org/api/v_pre1/traits/HXBBXHPublish.json +[ { "Additive": 0.0499967532467532, "Id": 10001, "LRS": 16.2831307029479, "Locus": "rs106114574", "PhenotypeId": 1449, "PublicationId": 319, "Sequence": 1 }, ... ] +``` + +Both JSON and CSV formats can be specified, with JSON as default. There is also an optional "ids_only" and "names_only" parameter that will only return a list of trait IDs or names, respectively. + +## Fetch Trait Info (Name, Description, Location, etc) ## +### For mRNA Expression/"ProbeSet" ### +``` +curl http://genenetwork.org/api/v_pre1/trait/HC_M2_0606_P/1436869_at +{ "additive": -0.214087568058076, "alias": "HHG1; HLP3; HPE3; SMMCI; Dsh; Hhg1", "chr": "5", "description": "sonic hedgehog (hedgehog)", "id": 99602, "locus": "rs8253327", "lrs": 12.7711275309832, "mb": 28.457155, "mean": 9.27909090909091, "name": "1436869_at", "p_value": 0.306, "se": null, "symbol": "Shh" } +``` + +### For "Phenotypes" ### +For phenotypes this just gets the max LRS, its location, and additive effect (as calculated by qtlreaper) + +Since each group/riset only has one phenotype "dataset", this query takes either the group/riset name or the group/riset name + "Publish" (for example "BXDPublish", which is the dataset name in the DB) as input +``` +curl http://genenetwork.org/api/v_pre1/trait/BXD/10001 +{ "additive": 2.39444435069444, "id": 4, "locus": "rs48756159", "lrs": 13.4974911471087 } +``` + +--- + +# Analyses # +--- +## Mapping ## +Currently two mapping tools can be used - GEMMA and R/qtl. qtlreaper will be added later with Christian Fischer's RUST implementation - https://github.com/chfi/rust-qtlreaper + +Each method's query takes the following parameters respectively (more will be added): +### GEMMA ### +* trait_id (*required*) - ID for trait being mapped +* db (*required*) - DB name for trait above (Short_Abbreviation listed when you query for datasets) +* use_loco - Whether to use LOCO (leave one chromosome out) method (default = false) +* maf - minor allele frequency (default = 0.01) + +Example query: +``` +curl http://genenetwork.org/api/v_pre1/mapping?trait_id=10015&db=BXDPublish&method=gemma&use_loco=true +``` + +### R/qtl ### +(See the R/qtl guide for information on some of these options - http://www.rqtl.org/manual/qtl-manual.pdf) +* trait_id (*required*) - ID for trait being mapped +* db (*required*) - DB name for trait above (Short_Abbreviation listed when you query for datasets) +* rqtl_method - hk (default) | ehk | em | imp | mr | mr-imp | mr-argmax ; Corresponds to the "method" option for the R/qtl scanone function. +* rqtl_model - normal (default) | binary | 2-part | np ; corresponds to the "model" option for the R/qtl scanone function +* num_perm - number of permutations; 0 by default +* control_marker - Name of marker to use as control; this relies on the user knowing the name of the marker they want to use as a covariate +* interval_mapping - Whether to use interval mapping; "false" by default +* pair_scan - *NYI* + +Example query: +``` +curl http://genenetwork.org/api/v_pre1/mapping?trait_id=1418701_at&db=HC_M2_0606_P&method=rqtl&num_perm=100 +``` + +Some combinations of methods/models may not make sense. The R/qtl manual should be referred to for any questions on its use (specifically the scanone function in this case) + +## Calculate Correlation ## +Currently only Sample and Tissue correlations are implemented + +This query currently takes the following parameters (though more will be added): +* trait_id (*required*) - ID for trait used for correlation +* db (*required*) - DB name for the trait above (this is the Short_Abbreviation listed when you query for datasets) +* target_db (*required*) - Target DB name to be correlated against +* type - sample (default) | tissue +* method - pearson (default) | spearman +* return - Number of results to return (default = 500) + +Example query: +``` +curl http://genenetwork.org/api/v_pre1/correlation?trait_id=1427571_at&db=HC_M2_0606_P&target_db=BXDPublish&type=sample&return_count=100 +[ { "#_strains": 6, "p_value": 0.004804664723032055, "sample_r": -0.942857142857143, "trait": 20511 }, { "#_strains": 6, "p_value": 0.004804664723032055, "sample_r": -0.942857142857143, "trait": 20724 }, { "#_strains": 12, "p_value": 1.8288943424888848e-05, "sample_r": -0.9233615170820528, "trait": 13536 }, { "#_strains": 7, "p_value": 0.006807187408935392, "sample_r": 0.8928571428571429, "trait": 10157 }, { "#_strains": 7, "p_value": 0.006807187408935392, "sample_r": -0.8928571428571429, "trait": 20392 }, ... ] +``` diff --git a/doc/GUIX-Reproducible-from-source.org b/doc/GUIX-Reproducible-from-source.org index 83adce99..19e4d14f 100644 --- a/doc/GUIX-Reproducible-from-source.org +++ b/doc/GUIX-Reproducible-from-source.org @@ -33,7 +33,6 @@ GNU Guix has to be installed as root. I tested this recipe on a fresh install of Debian 8.3.0 (in KVM) though it should work on any modern Linux distribution (including CentOS). - Note that GN2 consists of an approx. 5 GB installation including database. If you use a virtual machine we recommend to use at least double. diff --git a/doc/README.org b/doc/README.org index f290480d..828ed2cd 100644 --- a/doc/README.org +++ b/doc/README.org @@ -3,23 +3,22 @@ * Table of Contents :TOC: - [[#introduction][Introduction]] - [[#install][Install]] - - [[#tarball][Tarball]] - - [[#docker][Docker]] - - [[#with-source][With source]] - [[#running-gn2][Running GN2]] - - [[#run-mysql-server][Run MySQL server]] - - [[#install-mysql-with-gnu-guix][Install MySQL with GNU GUIx]] + - [[#run-mariadb-server][Run MariaDB server]] + - [[#install-mariadb-with-gnu-guix][Install MariaDB with GNU GUIx]] - [[#load-the-small-database-in-mysql][Load the small database in MySQL]] - [[#gn2-dependency-graph][GN2 Dependency Graph]] - [[#working-with-the-gn2-source-code][Working with the GN2 source code]] + - [[#read-more][Read more]] - [[#trouble-shooting][Trouble shooting]] - [[#importerror-no-module-named-jinja2][ImportError: No module named jinja2]] - - [[#error-can-not-find-directory-homegn2_data][ERROR: can not find directory $HOME/gn2_data]] + - [[#error-can-not-find-directory-homegn2_data-or-can-not-find-directory-homegenotype_filesgenotype][ERROR: 'can not find directory $HOME/gn2_data' or 'can not find directory $HOME/genotype_files/genotype']] - [[#cant-run-a-module][Can't run a module]] - [[#rpy2-error-show-now-found][Rpy2 error 'show' now found]] - [[#mysql-cant-connect-server-through-socket-error][Mysql can't connect server through socket ERROR]] - - [[#read-more][Read more]] - [[#irc-session][IRC session]] + - [[#notes][NOTES]] + - [[#deploying-gn2-official][Deploying GN2 official]] * Introduction @@ -38,44 +37,10 @@ an example of the [[#gn2-dependency-graph][GN2 Dependency Graph]]. * Install -The quickest way to install GN2 is by using a binary installation -(tarball or Docker image). These installations are bundled by GNU -Guix and include all dependencies. You can install GeneNetwork on most -Linux distributions, including Debian, Ubuntu, Fedora and CentOS, -provided you have administrator privileges (root). The alternative is -a Docker installation. - -** Tarball - -Download the ~800Mb tarball from -[[http://files.genenetwork.org/software/binary_tarball/]]. Validate the checksum and -unpack to root, for example - -: tar xvzf genenetwork2-2.10rc3-1538ffd-tarball-pack.tar.gz -: mv /gnu / -: mv /opt/genenetwork2 /opt/ - -Now you shoud be able to start the server with - -: /opt/genenetwork2/bin/genenetwork2 - -When the server stops with a MySQL error [[#run-mysql-server][Run MySQL server]] -and set SQL_URI to point at it. For example: - -: export SQL_URI=mysql://gn2:mysql_password@127.0.0.1/db_webqtl_s - -See also [[#mysql-cant-connect-server-through-socket-error][Mysql can't connect server through socket ERROR]]. - -** Docker - -Docker images are also available through -[[http://files.genenetwork.org/software/]]. Validate the checksum and run -with [[https://docs.docker.com/engine/reference/commandline/load/][Docker load]]. - -** With source - -For more elaborate installation instructions on deploying GeneNetwork from -source see [[#source-deployment][Source deployment]]. +Make sure to install GNU Guix using the binary download instructions +on the main website. Follow the instructions on +[[GUIX-Reproducible-from-source.org]] to download pre-built binaries. Note +the download amounts to several GBs of data. * Running GN2 @@ -92,37 +57,48 @@ or you can set environment variables to override individual parameters, e.g. the debug and logging switches can be particularly useful when developing GN2. -* Run MySQL server -** Install MySQL with GNU GUIx +* Run MariaDB server +** Install MariaDB with GNU GUIx + +/Note: we moved to MariaDB/ These are the steps you can take to install a fresh installation of -mysql (which comes as part of the GNU Guix genenetwork2 install). +mariadb (which comes as part of the GNU Guix genenetwork2 install). As root configure and run -: adduser mysql && addgroup mysql -: mysqld --datadir=/var/mysql --initialize-insecure -: mkdir -p /var/run/mysqld -: chown mysql.mysql ~/mysql /var/run/mysqld -: mysqld -u mysql --datadir=/var/mysql --explicit_defaults_for_timestamp -P 12048" +#+BEGIN_SRC bash +adduser mariadb && addgroup mariadb +mysqld --datadir=/home/mariadb/database --initialize-insecure +mkdir -p /var/run/mariadbd +chown mariadb.mariadb /var/run/mariadbd +mysqld -u mariadb --datadir=/home/mariadb/database/mariadb --explicit_defaults_for_timestamp -P 12048" +#+END_SRC If you want to run as root you may have to set : /etc/my.cnf -: [mysqld] +: [mariadbd] : user=root +You also need to set + +: ft_min_word_len = 3 + +To make sure word text searches (shh) work and rebuild the tables if +required. + To check error output in a file on start-up run with something like -: mysqld -u mysql --console --explicit_defaults_for_timestamp --datadir=/gnu/mysql --log-error=~/test.log +: mariadbd -u mariadb --console --explicit_defaults_for_timestamp --datadir=/gnu/mariadb --log-error=~/test.log -Other tips are that Guix installs mysqld in your profile, so this may work +Other tips are that Guix installs mariadbd in your profile, so this may work -: /home/user/.guix-profile/bin/mysqld -u mysql --explicit_defaults_for_timestamp --datadir=/gnu/mysql +: /home/user/.guix-profile/bin/mariadbd -u mariadb --explicit_defaults_for_timestamp --datadir=/gnu/mariadb When you get errors like: -: qlalchemy.exc.IntegrityError: (_mysql_exceptions.IntegrityError) (1215, 'Cannot add foreign key constraint') +: qlalchemy.exc.IntegrityError: (_mariadb_exceptions.IntegrityError) (1215, 'Cannot add foreign key constraint') you may need to set @@ -192,6 +168,12 @@ http://biogems.info/contrib/genenetwork/gn2.svg See [[development.org]]. +* Read more + +If you want to understand the architecture of GN2 read +[[Architecture.org]]. The rest of this document is mostly on deployment +of GN2. + * Trouble shooting ** ImportError: No module named jinja2 @@ -210,13 +192,17 @@ On one system: : export GEM_PATH="$HOME/.guix-profile/lib/ruby/gems/2.2.0" and perhaps a few more. -** ERROR: can not find directory $HOME/gn2_data +** ERROR: 'can not find directory $HOME/gn2_data' or 'can not find directory $HOME/genotype_files/genotype' The default settings file looks in your $HOME/gn2_data. Since these files come with a Guix installation you should take a hint from the values in the installed version of default_settings.py (see above in this document). +You can use the GENENETWORK_FILES switch to set the datadir, for example + +: env GN2_PROFILE=~/opt/gn-latest GENENETWORK_FILES=/gnu/data/gn2_data ./bin/genenetwork2 + ** Can't run a module In rare cases, development modules are not brought in with Guix @@ -257,17 +243,6 @@ if that works run genenetwork after setting SQL_URI to something like : export SQL_URI=mysql://gn2:mysql_password@127.0.0.1/db_webqtl_s -* Running ElasticSearch - -In order to start up elasticsearch, use the following command: - -: env JAVA_HOME=/opt/jdk-9.0.4 /opt/elasticsearch-6.2.1/bin/elasticsearch - -* Read more - -If you want to understand the architecture of GN2 read -[[Architecture.org]]. The rest of this document is mostly on deployment -of GN2. * IRC session @@ -676,3 +651,31 @@ The following derivations would be built: <pjotrp> I am building it on guix.genenetwork.org right now [10:09] <user01> nice [10:10] #+end_src + +* NOTES + +** Deploying GN2 official + +Let's see how fast we can deploy a second copy of GN2. + +- [-] Base install + + [X] First install a Debian server with GNU Guix on board + + [X] Get Guix build going + - [X] Build the correct version of Guix + - [X] Check out the correct gn-stable version of guix-bioinformatics http://git.genenetwork.org/pjotrp/guix-bioinformatics + - [X] guix package -i genenetwork2 -p /usr/local/guix-profiles/gn2-stable + + [X] Create a gn2 user and home with space + + [X] Install redis (currently debian) + - [X] add to systemd + - [X] update redis.cnf + - [X] update database + + [X] Install mariadb (currently debian mariadb-server) + - [X] add to systemd + - [X] system stop mysql + - [X] update mysql.cnf + - [X] update database (see gn-services/services/mariadb.md) + - [X] check tables + + [ ] run gn2 (rust-qtlreaper not working) + + [X] update nginx + + [ ] install genenetwork3 + - [ ] add to systemd diff --git a/doc/elasticsearch.org b/doc/elasticsearch.org index 18adfc8b..864a8363 100644 --- a/doc/elasticsearch.org +++ b/doc/elasticsearch.org @@ -1,5 +1,12 @@ * Elasticsearch +** Introduction + +GeneNetwork uses elasticsearch (ES) for all things considered +'state'. One example is user collections, another is user management. + +** Example + To get the right environment, first you can get a python REPL with something like : env GN2_PROFILE=~/opt/gn-latest ./bin/genenetwork2 ../etc/default_settings.py -cli python @@ -39,3 +46,202 @@ record['hits']['hits'][0][u'_source']['email_address'] u"myname@email.com" #+END_SRC + +** Health + +ES provides support for checking its health: + +: curl -XGET http://localhost:9200/_cluster/health?pretty=true + +#+BEGIN_SRC json + + + { + "cluster_name" : "asgard", + "status" : "yellow", + "timed_out" : false, + "number_of_nodes" : 1, + "number_of_data_nodes" : 1, + "active_primary_shards" : 5, + "active_shards" : 5, + "relocating_shards" : 0, + "initializing_shards" : 0, + "unassigned_shards" : 5 + } + +#+END_SRC + +Yellow means just one instance is running (no worries). + +To get full cluster info + +: curl -XGET "localhost:9200/_cluster/stats?human&pretty" + +#+BEGIN_SRC json +{ + "_nodes" : { + "total" : 1, + "successful" : 1, + "failed" : 0 + }, + "cluster_name" : "elasticsearch", + "timestamp" : 1529050366452, + "status" : "yellow", + "indices" : { + "count" : 3, + "shards" : { + "total" : 15, + "primaries" : 15, + "replication" : 0.0, + "index" : { + "shards" : { + "min" : 5, + "max" : 5, + "avg" : 5.0 + }, + "primaries" : { + "min" : 5, + "max" : 5, + "avg" : 5.0 + }, + "replication" : { + "min" : 0.0, + "max" : 0.0, + "avg" : 0.0 + } + } + }, + "docs" : { + "count" : 14579, + "deleted" : 0 + }, + "store" : { + "size" : "44.7mb", + "size_in_bytes" : 46892794 + }, + "fielddata" : { + "memory_size" : "0b", + "memory_size_in_bytes" : 0, + "evictions" : 0 + }, + "query_cache" : { + "memory_size" : "0b", + "memory_size_in_bytes" : 0, + "total_count" : 0, + "hit_count" : 0, + "miss_count" : 0, + "cache_size" : 0, + "cache_count" : 0, + "evictions" : 0 + }, + "completion" : { + "size" : "0b", + "size_in_bytes" : 0 + }, + "segments" : { + "count" : 24, + "memory" : "157.3kb", + "memory_in_bytes" : 161112, + "terms_memory" : "122.6kb", + "terms_memory_in_bytes" : 125569, + "stored_fields_memory" : "15.3kb", + "stored_fields_memory_in_bytes" : 15728, + "term_vectors_memory" : "0b", + "term_vectors_memory_in_bytes" : 0, + "norms_memory" : "10.8kb", + "norms_memory_in_bytes" : 11136, + "points_memory" : "111b", + "points_memory_in_bytes" : 111, + "doc_values_memory" : "8.3kb", + "doc_values_memory_in_bytes" : 8568, + "index_writer_memory" : "0b", + "index_writer_memory_in_bytes" : 0, + "version_map_memory" : "0b", + "version_map_memory_in_bytes" : 0, + "fixed_bit_set" : "0b", + "fixed_bit_set_memory_in_bytes" : 0, + "max_unsafe_auto_id_timestamp" : -1, + "file_sizes" : { } + } + }, + "nodes" : { + "count" : { + "total" : 1, + "data" : 1, + "coordinating_only" : 0, + "master" : 1, + "ingest" : 1 + }, + "versions" : [ + "6.2.1" + ], + "os" : { + "available_processors" : 16, + "allocated_processors" : 16, + "names" : [ + { + "name" : "Linux", + "count" : 1 + } + ], + "mem" : { + "total" : "125.9gb", + "total_in_bytes" : 135189286912, + "free" : "48.3gb", + "free_in_bytes" : 51922628608, + "used" : "77.5gb", + "used_in_bytes" : 83266658304, + "free_percent" : 38, + "used_percent" : 62 + } + }, + "process" : { + "cpu" : { + "percent" : 0 + }, + "open_file_descriptors" : { + "min" : 415, + "max" : 415, + "avg" : 415 + } + }, + "jvm" : { + "max_uptime" : "1.9d", + "max_uptime_in_millis" : 165800616, + "versions" : [ + { + "version" : "9.0.4", + "vm_name" : "OpenJDK 64-Bit Server VM", + "vm_version" : "9.0.4+11", + "vm_vendor" : "Oracle Corporation", + "count" : 1 + } + ], + "mem" : { + "heap_used" : "1.1gb", + "heap_used_in_bytes" : 1214872032, + "heap_max" : "23.8gb", + "heap_max_in_bytes" : 25656426496 + }, + "threads" : 110 + }, + "fs" : { + "total" : "786.4gb", + "total_in_bytes" : 844400918528, + "free" : "246.5gb", + "free_in_bytes" : 264688160768, + "available" : "206.5gb", + "available_in_bytes" : 221771468800 + }, + "plugins" : [ ], + "network_types" : { + "transport_types" : { + "netty4" : 1 + }, + "http_types" : { + "netty4" : 1 + } + } + } +} +#+BEGIN_SRC json diff --git a/etc/default_settings.py b/etc/default_settings.py index 85eab2c6..64a78686 100644 --- a/etc/default_settings.py +++ b/etc/default_settings.py @@ -31,11 +31,9 @@ GN_SERVER_URL = "http://localhost:8880/" # REST API server SQL_URI = "mysql://gn2:mysql_password@localhost/db_webqtl_s" SQL_ALCHEMY_POOL_RECYCLE = 3600 - -# ---- Elastic search - -ELASTICSEARCH_HOST = "localhost" -ELASTICSEARCH_PORT = 9200 +GN_SERVER_URL = "http://localhost:8880/" # REST API server +GN2_BASE_URL = "http://genenetwork.org/" +GN2_BRANCH_URL = GN2_BASE_URL # ---- Flask configuration (see website) TRAP_BAD_REQUEST_ERRORS = True @@ -51,13 +49,13 @@ SECRET_HMAC_CODE = '\x08\xdf\xfa\x93N\x80\xd9\\H@\\\x9f`\x98d^\xb4a;\xc6OM\x946a GITHUB_CLIENT_ID = "UNKNOWN" GITHUB_CLIENT_SECRET = "UNKNOWN" -GITHUB_AUTH_URL = "UNKNOWN" -GITHUB_API_URL = "UNKNOWN" +GITHUB_AUTH_URL = "https://github.com/login/oauth/authorize" +GITHUB_API_URL = "https://api.github.com/user" ORCID_CLIENT_ID = "UNKNOWN" ORCID_CLIENT_SECRET = "UNKNOWN" -ORCID_AUTH_URL = "UNKNOWN" -ORCID_TOKEN_URL = "UNKNOWN" +ORCID_AUTH_URL = "https://orcid.org/oauth/authorize" +ORCID_TOKEN_URL = "https://orcid.org/oauth/token" ELASTICSEARCH_HOST = "localhost" ELASTICSEARCH_PORT = '9200' @@ -97,7 +95,7 @@ GENENETWORK_FILES = HOME+"/genotype_files" # base dir for all static data fil JS_GN_PATH = os.environ['HOME']+"/genenetwork/javascript" # ---- GN2 Executables (overwrite for testing only) -# PYLMM_COMMAND = str.strip(os.popen("which pylmm_redis").read()) # PLINK_COMMAND = str.strip(os.popen("which plink2").read()) # GEMMA_COMMAND = str.strip(os.popen("which gemma").read()) +REAPER_COMMAND = os.environ['GN2_PROFILE'] + "/bin/qtlreaper" # GEMMA_WRAPPER_COMMAND = str.strip(os.popen("which gemma-wrapper").read()) diff --git a/test/requests/mapping_tests.py b/test/requests/mapping_tests.py index 8eb19de7..6de81bfe 100644 --- a/test/requests/mapping_tests.py +++ b/test/requests/mapping_tests.py @@ -11,16 +11,6 @@ def load_data_from_file(): file_data = json.loads(file_handle.read().encode("utf-8")) return file_data -def check_pylmm_tool_selection(host, data): - print("") - print("pylmm mapping tool selection") - data["method"] = "pylmm" - page = requests.post(host+"/marker_regression", data=data) - doc = fromstring(page.text) - form = doc.forms[1] - assert form.fields["dataset"] == "HC_M2_0606_P" - assert form.fields["value:BXD1"] == "15.034" # Check value in the file - def check_R_qtl_tool_selection(host, data): print("") print("R/qtl mapping tool selection") diff --git a/unused.txt b/unused.txt deleted file mode 100644 index 8eab64ea..00000000 --- a/unused.txt +++ /dev/null @@ -1,610 +0,0 @@ -wqflask/base/data_set.py:32: unused import 'itemgetter' (90% confidence) -wqflask/base/data_set.py:271: unused attribute 'genetic_type' (60% confidence) -wqflask/base/data_set.py:273: unused attribute 'genetic_type' (60% confidence) -wqflask/base/data_set.py:281: unused attribute 'accession_id' (60% confidence) -wqflask/base/data_set.py:282: unused attribute 'mapping_id' (60% confidence) -wqflask/base/data_set.py:282: unused attribute 'mapping_names' (60% confidence) -wqflask/base/data_set.py:319: unused function 'get_specified_markers' (60% confidence) -wqflask/base/data_set.py:460: unused variable 'dataset_sub_menu' (60% confidence) -wqflask/base/data_set.py:463: unused variable 'tissue_position' (60% confidence) -wqflask/base/data_set.py:467: unused variable 'tissue_position' (60% confidence) -wqflask/base/data_set.py:660: unused class 'PhenotypeDataSet' (60% confidence) -wqflask/base/data_set.py:722: unused function 'get_trait_list' (60% confidence) -wqflask/base/data_set.py:751: unreachable code after 'continue' (100% confidence) -wqflask/base/data_set.py:773: unused attribute 'LRS_score_value' (60% confidence) -wqflask/base/data_set.py:775: unused attribute 'LRS_location_value' (60% confidence) -wqflask/base/data_set.py:794: unused variable 'LRS_location_value' (60% confidence) -wqflask/base/data_set.py:797: unused variable 'LRS_location_value' (60% confidence) -wqflask/base/data_set.py:799: unused variable 'LRS_location_value' (60% confidence) -wqflask/base/data_set.py:802: unused attribute 'LRS_score_value' (60% confidence) -wqflask/base/data_set.py:802: unused variable 'LRS_score_value' (60% confidence) -wqflask/base/data_set.py:828: unused class 'GenotypeDataSet' (60% confidence) -wqflask/base/data_set.py:864: unused function 'get_trait_list' (60% confidence) -wqflask/base/data_set.py:884: unused variable 'trait_location_repr' (60% confidence) -wqflask/base/data_set.py:897: unused attribute 'location_value' (60% confidence) -wqflask/base/data_set.py:923: unused class 'MrnaAssayDataSet' (60% confidence) -wqflask/base/data_set.py:992: unused function 'get_trait_list_1' (60% confidence) -wqflask/base/data_set.py:1038: unused variable 'trait_location_repr' (60% confidence) -wqflask/base/data_set.py:1057: unused attribute 'location_value' (60% confidence) -wqflask/base/data_set.py:1079: unused attribute 'LRS_score_value' (60% confidence) -wqflask/base/data_set.py:1081: unused attribute 'LRS_location_value' (60% confidence) -wqflask/base/data_set.py:1097: unused variable 'lrs_location_value' (60% confidence) -wqflask/base/data_set.py:1099: unused attribute 'LRS_score_value' (60% confidence) -wqflask/base/data_set.py:1115: unused function 'get_sequence' (60% confidence) -wqflask/base/data_set.py:1167: unused class 'TempDataSet' (60% confidence) -wqflask/base/data_set.py:1207: unused function 'get_group' (60% confidence) -wqflask/base/data_set.py:1218: unused attribute 'group_id' (60% confidence) -wqflask/base/mrna_assay_tissue_data.py:21: unused attribute 'have_data' (60% confidence) -wqflask/base/species.py:21: unused attribute 'genome_mb_length' (60% confidence) -wqflask/base/species.py:45: unused function 'set_cm_length' (60% confidence) -wqflask/base/species.py:77: unused attribute 'mb_graph_interval' (60% confidence) -wqflask/base/species.py:79: unused attribute 'mb_graph_interval' (60% confidence) -wqflask/base/species.py:94: unused function 'get_genome_cm_length' (60% confidence) -wqflask/base/species.py:99: unused function 'get_cm_length_list' (60% confidence) -wqflask/base/template.py:27: unused variable 'template' (60% confidence) -wqflask/base/trait.py:28: unused function 'print_mem' (60% confidence) -wqflask/base/trait.py:58: unused attribute 'pvalue' (60% confidence) -wqflask/base/trait.py:66: unused attribute 'LRS_score_value' (60% confidence) -wqflask/base/trait.py:68: unused attribute 'LRS_location_value' (60% confidence) -wqflask/base/trait.py:86: unused function 'get_name' (60% confidence) -wqflask/base/trait.py:97: unused function 'get_given_name' (60% confidence) -wqflask/base/trait.py:118: unused function 'display_name' (60% confidence) -wqflask/base/trait.py:148: unused function 'export_data' (60% confidence) -wqflask/base/trait.py:189: unused property 'name_header_fmt' (60% confidence) -wqflask/base/trait.py:201: unused property 'description_fmt' (60% confidence) -wqflask/base/trait.py:220: unused property 'alias_fmt' (60% confidence) -wqflask/base/trait.py:232: unused property 'location_fmt' (60% confidence) -wqflask/base/trait.py:261: unused function 'getSequence' (60% confidence) -wqflask/base/trait.py:309: unused function 'get_sample_data' (60% confidence) -wqflask/base/trait.py:546: unused attribute 'homologeneid' (60% confidence) -wqflask/base/trait.py:575: unused attribute 'homologeneid' (60% confidence) -wqflask/base/trait.py:594: unused attribute 'location_value' (60% confidence) -wqflask/base/trait.py:611: unused attribute 'location_value' (60% confidence) -wqflask/base/trait.py:615: unused attribute 'location_value' (60% confidence) -wqflask/base/trait.py:624: unused attribute 'location_value' (60% confidence) -wqflask/base/trait.py:629: unused attribute 'LRS_score_value' (60% confidence) -wqflask/base/trait.py:631: unused attribute 'LRS_location_value' (60% confidence) -wqflask/base/trait.py:646: unused attribute 'pvalue' (60% confidence) -wqflask/base/trait.py:664: unused attribute 'pvalue' (60% confidence) -wqflask/base/trait.py:704: unused variable 'LRS_location_value' (60% confidence) -wqflask/base/trait.py:707: unused variable 'LRS_location_value' (60% confidence) -wqflask/base/trait.py:709: unused variable 'LRS_location_value' (60% confidence) -wqflask/base/trait.py:714: unused attribute 'LRS_score_value' (60% confidence) -wqflask/base/trait.py:714: unused variable 'LRS_score_value' (60% confidence) -wqflask/base/webqtlCaseData.py:42: unused attribute 'this_id' (60% confidence) -wqflask/base/webqtlCaseData.py:59: unused property 'class_outlier' (60% confidence) -wqflask/base/webqtlCaseData.py:67: unused property 'display_value' (60% confidence) -wqflask/base/webqtlCaseData.py:74: unused property 'display_variance' (60% confidence) -wqflask/base/webqtlConfig.py:24: unused variable 'MULTIPLEMAPPINGLIMIT' (60% confidence) -wqflask/base/webqtlConfig.py:27: unused variable 'MAXCORR' (60% confidence) -wqflask/base/webqtlConfig.py:36: unused variable 'MAXLIFE' (60% confidence) -wqflask/base/webqtlConfig.py:42: unused variable 'NCBI_LOCUSID' (60% confidence) -wqflask/base/webqtlConfig.py:43: unused variable 'UCSC_REFSEQ' (60% confidence) -wqflask/base/webqtlConfig.py:44: unused variable 'GENBANK_ID' (60% confidence) -wqflask/base/webqtlConfig.py:45: unused variable 'OMIM_ID' (60% confidence) -wqflask/base/webqtlConfig.py:46: unused variable 'UNIGEN_ID' (60% confidence) -wqflask/base/webqtlConfig.py:47: unused variable 'HOMOLOGENE_ID' (60% confidence) -wqflask/base/webqtlConfig.py:49: unused variable 'UCSC_POS' (60% confidence) -wqflask/base/webqtlConfig.py:53: unused variable 'UCSC_GENOME' (60% confidence) -wqflask/base/webqtlConfig.py:54: unused variable 'ENSEMBLE_BLAT' (60% confidence) -wqflask/base/webqtlConfig.py:55: unused variable 'DBSNP' (60% confidence) -wqflask/base/webqtlConfig.py:56: unused variable 'UCSC_RUDI_TRACK_URL' (60% confidence) -wqflask/base/webqtlConfig.py:57: unused variable 'GENOMEBROWSER_URL' (60% confidence) -wqflask/base/webqtlConfig.py:58: unused variable 'ENSEMBLETRANSCRIPT_URL' (60% confidence) -wqflask/base/webqtlFormData.py:53: unused variable 'mod_python_session' (60% confidence) -wqflask/base/webqtlFormData.py:54: unused variable 'FieldStorage_formdata' (60% confidence) -wqflask/base/webqtlFormData.py:61: unused attribute 'varianceDispName' (60% confidence) -wqflask/base/webqtlFormData.py:74: unused attribute 'refURL' (60% confidence) -wqflask/base/webqtlFormData.py:76: unused attribute 'refURL' (60% confidence) -wqflask/base/webqtlFormData.py:328: unused function 'Sample' (60% confidence) -wqflask/basicStatistics/BasicStatisticsFunctions.py:21: unused function 'basicStatsTable' (60% confidence) -wqflask/basicStatistics/BasicStatisticsFunctions.py:101: unused function 'plotNormalProbability' (60% confidence) -wqflask/basicStatistics/BasicStatisticsFunctions.py:155: unused function 'plotBarGraph' (60% confidence) -wqflask/basicStatistics/corestats.py:61: unused function 'median' (60% confidence) -wqflask/maintenance/convert_geno_to_bimbam.py:74: unused attribute 'geno_fh' (60% confidence) -wqflask/maintenance/convert_geno_to_bimbam.py:82: unused variable 'row_count' (60% confidence) -wqflask/maintenance/gen_select_dataset.py:69: unused variable 'db_uri' (60% confidence) -wqflask/maintenance/gen_select_dataset.py:302: unused function '_test_it' (60% confidence) -wqflask/maintenance/get_group_samplelists.py:9: unused function 'process_genofiles' (60% confidence) -wqflask/mock/es_double.py:1: unused class 'ESDouble' (60% confidence) -wqflask/run_gunicorn.py:17: unused function 'hello' (60% confidence) -wqflask/utility/after.py:18: unused function 'call_after_request_callbacks' (60% confidence) -wqflask/utility/AJAX_table.py:41: unused class 'AJAX_table' (60% confidence) -wqflask/utility/benchmark.py:6: unused import 'LOG_BENCH' (90% confidence) -wqflask/utility/elasticsearch_tools.py:51: unused variable 'te' (60% confidence) -wqflask/utility/genofile_parser.py:75: unused variable 'row_count' (60% confidence) -wqflask/utility/logger.py:36: unused import 'LOG_FORMAT' (90% confidence) -wqflask/utility/logger.py:59: unused function 'debug20' (60% confidence) -wqflask/utility/logger.py:84: unused function 'infof' (60% confidence) -wqflask/utility/Plot.py:167: unused function 'erf' (60% confidence) -wqflask/utility/Plot.py:182: unused function 'calMeanVar' (60% confidence) -wqflask/utility/Plot.py:370: unused variable 'tstrain' (60% confidence) -wqflask/utility/Plot.py:449: unused function 'plotSecurity' (60% confidence) -wqflask/utility/Plot.py:594: unused variable 'Xll' (60% confidence) -wqflask/utility/Plot.py:595: unused variable 'Xur' (60% confidence) -wqflask/utility/Plot.py:914: unused function 'plotXYSVG' (60% confidence) -wqflask/utility/Plot.py:914: unused variable 'plotColor' (60% confidence) -wqflask/utility/Plot.py:923: unused variable 'dataXAlt' (60% confidence) -wqflask/utility/Plot.py:924: unused variable 'dataYAlt' (60% confidence) -wqflask/utility/Plot.py:929: unused variable 'dataXAlt' (60% confidence) -wqflask/utility/Plot.py:930: unused variable 'dataYAlt' (60% confidence) -wqflask/utility/Plot.py:1030: unused attribute 'argv' (60% confidence) -wqflask/utility/Plot.py:1117: unused variable 'bufferSpace' (60% confidence) -wqflask/utility/Plot.py:1156: unused function 'colorSpectrumOld' (60% confidence) -wqflask/utility/Plot.py:1234: unused function 'colorSpectrumSVG' (60% confidence) -wqflask/utility/Plot.py:1257: unused function 'BWSpectrum' (60% confidence) -wqflask/utility/svg.py:116: unused attribute 'setrecursionlimit' (60% confidence) -wqflask/utility/svg.py:174: unused function '_pointlist' (60% confidence) -wqflask/utility/svg.py:186: unused function 'closepath' (60% confidence) -wqflask/utility/svg.py:189: unused function 'move' (60% confidence) -wqflask/utility/svg.py:192: unused function 'relmove' (60% confidence) -wqflask/utility/svg.py:198: unused function 'relline' (60% confidence) -wqflask/utility/svg.py:201: unused function 'hline' (60% confidence) -wqflask/utility/svg.py:204: unused function 'relhline' (60% confidence) -wqflask/utility/svg.py:207: unused function 'vline' (60% confidence) -wqflask/utility/svg.py:210: unused function 'relvline' (60% confidence) -wqflask/utility/svg.py:213: unused function 'bezier' (60% confidence) -wqflask/utility/svg.py:216: unused function 'relbezier' (60% confidence) -wqflask/utility/svg.py:219: unused function 'smbezier' (60% confidence) -wqflask/utility/svg.py:225: unused function 'qbezier' (60% confidence) -wqflask/utility/svg.py:228: unused function 'relqbezier' (60% confidence) -wqflask/utility/svg.py:231: unused function 'smqbezier' (60% confidence) -wqflask/utility/svg.py:234: unused function 'relsmqbezier' (60% confidence) -wqflask/utility/svg.py:237: unused function 'ellarc' (60% confidence) -wqflask/utility/svg.py:240: unused function 'relellarc' (60% confidence) -wqflask/utility/svg.py:359: unused class 'spannedtext' (60% confidence) -wqflask/utility/svg.py:382: unused function 'addtext' (60% confidence) -wqflask/utility/svg.py:384: unused function 'addtspan' (60% confidence) -wqflask/utility/svg.py:386: unused function 'addtref' (60% confidence) -wqflask/utility/svg.py:494: unused class 'polyline' (60% confidence) -wqflask/utility/svg.py:508: unused class 'polygon' (60% confidence) -wqflask/utility/svg.py:560: unused class 'textpath' (60% confidence) -wqflask/utility/svg.py:612: unused class 'lineargradient' (60% confidence) -wqflask/utility/svg.py:631: unused class 'radialgradient' (60% confidence) -wqflask/utility/svg.py:652: unused class 'stop' (60% confidence) -wqflask/utility/svg.py:662: unused class 'style' (60% confidence) -wqflask/utility/svg.py:671: unused class 'image' (60% confidence) -wqflask/utility/svg.py:747: unused class 'defs' (60% confidence) -wqflask/utility/svg.py:755: unused class 'switch' (60% confidence) -wqflask/utility/svg.py:793: unused class 'view' (60% confidence) -wqflask/utility/svg.py:802: unused class 'script' (60% confidence) -wqflask/utility/svg.py:811: unused class 'animate' (60% confidence) -wqflask/utility/svg.py:837: unused class 'animateTransform' (60% confidence) -wqflask/utility/svg.py:853: unused class 'animateColor' (60% confidence) -wqflask/utility/svg.py:1022: unused function 'validate' (60% confidence) -wqflask/utility/temp_data.py:13: unused function 'store' (60% confidence) -wqflask/utility/tools.py:182: unused function 'locate_phewas' (60% confidence) -wqflask/utility/tools.py:235: unused variable 'HOME' (60% confidence) -wqflask/utility/tools.py:243: unused variable 'LOG_BENCH' (60% confidence) -wqflask/utility/tools.py:244: unused variable 'LOG_FORMAT' (60% confidence) -wqflask/utility/tools.py:248: unused variable 'GENENETWORK_FILES' (60% confidence) -wqflask/utility/tools.py:251: unused variable 'JS_GN_PATH' (60% confidence) -wqflask/utility/webqtlUtil.py:69: unused variable 'IMGSTEP1' (60% confidence) -wqflask/utility/webqtlUtil.py:70: unused variable 'IMGSTEP2' (60% confidence) -wqflask/utility/webqtlUtil.py:71: unused variable 'IMGSTEP3' (60% confidence) -wqflask/utility/webqtlUtil.py:72: unused variable 'IMGNEXT' (60% confidence) -wqflask/utility/webqtlUtil.py:87: unused variable 'PROGRESSBAR' (60% confidence) -wqflask/utility/webqtlUtil.py:157: unused function 'decodeEscape' (60% confidence) -wqflask/utility/webqtlUtil.py:203: unused function 'toInt' (60% confidence) -wqflask/utility/webqtlUtil.py:220: unused function 'transpose' (60% confidence) -wqflask/utility/webqtlUtil.py:225: unused function 'asymTranspose' (60% confidence) -wqflask/utility/webqtlUtil.py:241: unused function 'generate_session' (60% confidence) -wqflask/utility/webqtlUtil.py:245: unused function 'cvt2Dict' (60% confidence) -wqflask/utility/webqtlUtil.py:251: unused function 'dump_session' (60% confidence) -wqflask/utility/webqtlUtil.py:276: unused function 'FloatAsFloat' (60% confidence) -wqflask/utility/webqtlUtil.py:283: unused function 'RemoveZero' (60% confidence) -wqflask/utility/webqtlUtil.py:306: unused function 'FloatList2String' (60% confidence) -wqflask/utility/webqtlUtil.py:332: unused function 'FileDataProcess' (60% confidence) -wqflask/utility/webqtlUtil.py:372: unused function 'cmpScanResult' (60% confidence) -wqflask/utility/webqtlUtil.py:384: unused function 'cmpScanResult2' (60% confidence) -wqflask/utility/webqtlUtil.py:596: unused function 'calCorrelationRankText' (60% confidence) -wqflask/utility/webqtlUtil.py:715: unused function 'calCorrelationText' (60% confidence) -wqflask/utility/webqtlUtil.py:761: unused function 'cmpCorr' (60% confidence) -wqflask/utility/webqtlUtil.py:772: unused function 'cmpLitCorr' (60% confidence) -wqflask/utility/webqtlUtil.py:783: unused function 'cmpPValue' (60% confidence) -wqflask/utility/webqtlUtil.py:811: unused function 'cmpLRSFull' (60% confidence) -wqflask/utility/webqtlUtil.py:822: unused function 'cmpLRSInteract' (60% confidence) -wqflask/utility/webqtlUtil.py:834: unused function 'cmpPos' (60% confidence) -wqflask/utility/webqtlUtil.py:858: unused function 'cmpGenoPos' (60% confidence) -wqflask/utility/webqtlUtil.py:895: unused class 'VisualizeException' (60% confidence) -wqflask/utility/webqtlUtil.py:912: unused function 'safeFloat' (60% confidence) -wqflask/utility/webqtlUtil.py:917: unused function 'safeInt' (60% confidence) -wqflask/utility/webqtlUtil.py:923: unused function 'safeString' (60% confidence) -wqflask/utility/webqtlUtil.py:931: unused function 'yesNoToInt' (60% confidence) -wqflask/utility/webqtlUtil.py:941: unused function 'intToYesNo' (60% confidence) -wqflask/utility/webqtlUtil.py:949: unused function 'formatField' (60% confidence) -wqflask/utility/webqtlUtil.py:971: unused variable 'last_idx' (60% confidence) -wqflask/utility/webqtlUtil.py:981: unused variable 'last_idx' (60% confidence) -wqflask/wqflask/__init__.py:24: unused import 'wqflask' (90% confidence) -wqflask/wqflask/collect.py:43: unused function 'get_collection' (60% confidence) -wqflask/wqflask/collect.py:225: unused function 'collections_add' (60% confidence) -wqflask/wqflask/collect.py:247: unused function 'collections_new' (60% confidence) -wqflask/wqflask/collect.py:285: unused variable 'current_collections' (60% confidence) -wqflask/wqflask/collect.py:291: unused function 'list_collections' (60% confidence) -wqflask/wqflask/collect.py:368: unused function 'view_collection' (60% confidence) -wqflask/wqflask/correlation/corr_scatter_plot.py:22: unused attribute 'width' (60% confidence) -wqflask/wqflask/correlation/corr_scatter_plot.py:28: unused attribute 'height' (60% confidence) -wqflask/wqflask/correlation/corr_scatter_plot.py:34: unused attribute 'circle_color' (60% confidence) -wqflask/wqflask/correlation/corr_scatter_plot.py:40: unused attribute 'circle_radius' (60% confidence) -wqflask/wqflask/correlation/corr_scatter_plot.py:46: unused attribute 'line_color' (60% confidence) -wqflask/wqflask/correlation/corr_scatter_plot.py:52: unused attribute 'line_width' (60% confidence) -wqflask/wqflask/correlation/corr_scatter_plot.py:69: unused variable 'std_err' (60% confidence) -wqflask/wqflask/correlation/corr_scatter_plot.py:76: unused variable 'srstd_err' (60% confidence) -wqflask/wqflask/correlation/corr_scatter_plot.py:107: unused attribute 'jsdata' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:45: unused function 'controlStrains' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:81: unused function 'fixStrains' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:124: unused function 'findIdenticalControlTraits' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:150: unused function 'findIdenticalTraits' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:185: unused function 'determinePartialsByR' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:497: unused function 'calZeroOrderCorr' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:502: unused variable 'primary_var' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:681: unused function 'getTissueProbeSetXRefInfo' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:727: unused variable 'resultCount' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:759: unused function 'get_symbol_value_pairs' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:881: unused function 'getCorrPvArray' (60% confidence) -wqflask/wqflask/correlation/correlation_functions.py:941: unused function 'calculateCorrOfAllTissueTrait' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:26: unused import 'gc' (90% confidence) -wqflask/wqflask/correlation/show_corr_results.py:67: unused variable 'METHOD_SAMPLE_PEARSON' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:68: unused variable 'METHOD_SAMPLE_RANK' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:77: unused function 'print_mem' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:81: unused class 'AuthException' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:86: unused variable 'corr_min_informative' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:178: unused variable 'cache_available' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:264: unused attribute 'tissue_pvalue' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:268: unused attribute 'tissue_pvalue' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:282: unused attribute 'tissue_pvalue' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:286: unused attribute 'tissue_pvalue' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:301: unused attribute 'json_results' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:356: unused attribute 'formatted_corr_type' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:358: unused attribute 'formatted_corr_type' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:360: unused attribute 'formatted_corr_type' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:362: unused attribute 'formatted_corr_type' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:365: unused attribute 'formatted_corr_type' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:367: unused attribute 'formatted_corr_type' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:399: unused attribute 'tissue_pvalue' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:685: unused function 'do_tissue_corr_for_all_traits_2' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:739: unused variable 'tissue_probesetfreeze_id' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:784: unused variable 'primary_trait_value' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:786: unused variable 'symbol_value_dict' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:836: unused variable 'tissueProbeSetFreezeId' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:930: unused attribute 'p_tissue' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:975: unused variable 'mouse_geneid1' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1033: unused function 'get_traits' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1036: unsatisfiable 'if' condition (100% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1039: unused variable 'use_lit' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1042: unused variable 'use_lit' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1044: unused variable 'use_tissue_corr' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1047: unused variable 'use_tissue_corr' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1081: unused attribute 'p_tissue' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1095: unused variable 'totalTraits' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1107: unused variable 'primary_trait_value' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1109: unused variable 'symbol_value_dict' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1125: unused function 'correlate' (60% confidence) -wqflask/wqflask/correlation/show_corr_results.py:1152: unused function 'do_parallel_correlation' (60% confidence) -wqflask/wqflask/correlation_matrix/show_corr_matrix.py:26: unused import 'gc' (90% confidence) -wqflask/wqflask/correlation_matrix/show_corr_matrix.py:177: unused attribute 'pca_works' (60% confidence) -wqflask/wqflask/correlation_matrix/show_corr_matrix.py:179: unused attribute 'loadings_array' (60% confidence) -wqflask/wqflask/correlation_matrix/show_corr_matrix.py:181: unused attribute 'pca_works' (60% confidence) -wqflask/wqflask/correlation_matrix/show_corr_matrix.py:218: unused attribute 'scores' (60% confidence) -wqflask/wqflask/correlation_matrix/show_corr_matrix.py:219: unused attribute 'scale' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:5: unused import 'sp' (90% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:27: unused variable 'utils' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:32: unused variable 'r_read_csv' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:33: unused variable 'r_dim' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:37: unused variable 'r_paste' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:39: unused variable 'r_head' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:44: unused variable 'r_matrix' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:45: unused variable 'r_seq' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:47: unused variable 'r_names' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:48: unused variable 'r_sink' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:49: unused variable 'r_is_NA' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:50: unused variable 'r_file' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:53: unused variable 'r_save_image' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:54: unused variable 'r_class' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:55: unused variable 'r_save' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:56: unused variable 'r_write_table' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:57: unused variable 'r_read_table' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:58: unused variable 'r_as_data_frame' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:75: unused attribute 'r_CTLnetwork' (60% confidence) -wqflask/wqflask/ctl/ctl_analysis.py:76: unused attribute 'r_CTLprofiles' (60% confidence) -wqflask/wqflask/database.py:26: unused import 'wqflask' (90% confidence) -wqflask/wqflask/do_search.py:82: unused class 'QuickMrnaAssaySearch' (60% confidence) -wqflask/wqflask/do_search.py:178: unused function 'run_combined' (60% confidence) -wqflask/wqflask/do_search.py:286: unused function 'run_combined' (60% confidence) -wqflask/wqflask/do_search.py:314: unused class 'QuickPhenotypeSearch' (60% confidence) -wqflask/wqflask/do_search.py:433: unused class 'RifSearch' (60% confidence) -wqflask/wqflask/do_search.py:456: unused class 'WikiSearch' (60% confidence) -wqflask/wqflask/do_search.py:481: unused class 'GoSearch' (60% confidence) -wqflask/wqflask/do_search.py:588: unused class 'MrnaLrsSearch' (60% confidence) -wqflask/wqflask/do_search.py:601: unused class 'PhenotypeLrsSearch' (60% confidence) -wqflask/wqflask/do_search.py:685: unused class 'CisLrsSearch' (60% confidence) -wqflask/wqflask/do_search.py:715: unused class 'TransLrsSearch' (60% confidence) -wqflask/wqflask/do_search.py:745: unused class 'MeanSearch' (60% confidence) -wqflask/wqflask/do_search.py:770: unused function 'get_final_query' (60% confidence) -wqflask/wqflask/do_search.py:786: unused class 'RangeSearch' (60% confidence) -wqflask/wqflask/do_search.py:861: unused class 'MrnaPositionSearch' (60% confidence) -wqflask/wqflask/do_search.py:874: unused class 'GenotypePositionSearch' (60% confidence) -wqflask/wqflask/do_search.py:920: unused class 'AuthorSearch' (60% confidence) -wqflask/wqflask/docs.py:14: unused attribute 'entry' (60% confidence) -wqflask/wqflask/docs.py:16: unused attribute 'content' (60% confidence) -wqflask/wqflask/export_traits.py:3: unused import 'operator' (90% confidence) -wqflask/wqflask/heatmap/heatmap.py:6: unused import 'gc' (90% confidence) -wqflask/wqflask/heatmap/heatmap.py:19: unused import 'linalg' (90% confidence) -wqflask/wqflask/heatmap/heatmap.py:148: unused attribute 'lrs_array' (60% confidence) -wqflask/wqflask/heatmap/heatmap.py:225: unused function 'gen_pylmm_results' (60% confidence) -wqflask/wqflask/interval_analyst/GeneUtil.py:9: unused variable 'webqtlDb' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:19: unused import 'linalg' (90% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:84: unused attribute 'geno_db_exists' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:87: unused variable 'geno_dataset' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:88: unused attribute 'geno_db_exists' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:90: unused attribute 'geno_db_exists' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:116: unused attribute 'bootstrap_results' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:120: unused attribute 'selected_chr' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:123: unused attribute 'selected_chr' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:125: unused attribute 'selected_chr' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:135: unused attribute 'haplotypeAnalystCheck' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:143: unused attribute 'LRSCheck' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:146: unused attribute 'showSNP' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:148: unused attribute 'showSNP' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:151: unused attribute 'showGenes' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:153: unused attribute 'showGenes' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:156: unused attribute 'viewLegend' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:158: unused attribute 'viewLegend' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:170: unused attribute 'showSNP' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:171: unused attribute 'showGenes' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:172: unused attribute 'viewLegend' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:203: unused attribute 'additiveCheck' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:205: unused attribute 'additiveCheck' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:213: unused attribute 'additiveCheck' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:228: unused attribute 'bootstrap_results' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:262: unused attribute 'trimmed_markers' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:281: unused attribute 'cutoff' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:293: unused attribute 'trimmed_markers' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:500: unused function 'trim_results' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:565: unused function 'get_lod_score_cutoff' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:600: unused function 'create_snp_iterator_file' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:605: unreachable code after 'raise' (100% confidence) -wqflask/wqflask/marker_regression/marker_regression.py:655: unused variable 'num_markers' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:33: unused import 'urllib' (90% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:55: unused variable 'maxBootStrap' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:84: unused variable 'MIN_PIXELS_BETWEEN_LABELS' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:96: unused variable 'ALEX_DEBUG_BOOL_COLORIZE_GENES' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:99: unused variable 'kWIDTH_DEFAULT' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:108: unused variable 'GENE_FILL_COLOR' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:109: unused variable 'GENE_OUTLINE_COLOR' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:112: unused variable 'LRS_LINE_WIDTH' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:119: unused variable 'ADDITIVE_COLOR' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:130: unused variable 'QMARK_EDGE_COLOR' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:131: unused variable 'QMARK_FILL_COLOR' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:134: unused variable 'X_AXIS_LABEL_COLOR' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:136: unused variable 'MINI_VIEW_MAGNIFIED_REGION_COLOR' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:137: unused variable 'MINI_VIEW_OUTSIDE_REGION_COLOR' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:138: unused variable 'MINI_VIEW_BORDER_COLOR' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:157: unused variable 'DRAW_UTR_LABELS' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:177: unused attribute 'geno_db_exists' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:185: unused attribute 'mapmethod_rqtl_geno' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:186: unused attribute 'mapmodel_rqtl_geno' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:191: unused attribute 'trimmed_markers' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:311: unused attribute 'cutoff' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:442: unused attribute 'dataSource' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:557: unused variable 'geneTableContainer' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:578: unused attribute 'gifmap' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:587: unused variable 'gifmapX2' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:622: unused attribute 'perm_filename' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:689: unused attribute 'body' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:695: unused function 'writeQTL2Text' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:801: unused variable 'startPixelX' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:802: unused variable 'endPixelX' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1111: unused variable 'locLocation' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1146: unused variable 'locLocation' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1190: unused variable 'lod' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1192: unused variable 'lod' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1208: unused variable 'string3' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1239: unused variable 'displayStartInBases' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1240: unused variable 'displayEndInBases' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1256: unused variable 'geneId' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1310: unused variable 'geneId' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1343: unreachable 'else' block (100% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1347: unused variable 'utrColor' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1453: unused variable 'widthMultiplier' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1457: unused variable 'exprdrawn' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1559: unreachable 'else' block (100% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1691: unused variable 'bandWidth' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1729: unused variable 'traitX' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1737: unused variable 'traitX' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1764: unused variable 'spacingFromLineToLabel' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:1770: unused variable 'graphMbWidth' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2261: unused variable 'maxAdd' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2353: unused function 'calculateAllResult' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2365: unused attribute 'chromosome' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2426: unused attribute 'chromosome' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2459: unused attribute 'chromosome' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2490: unused function 'traitRemapTD' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2609: unused function 'traitInfoTD' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2679: unused function 'permutationTextFile' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2704: unused attribute 'gene_table_header' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2705: unused attribute 'gene_table_body' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2719: unused attribute 'gene_table_header' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2720: unused attribute 'gene_table_body' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2727: unused variable 'gene_tblobj_header' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2731: unused variable 'col_class' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2831: unused variable 'className' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2884: unused variable 'mouseStartValue' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2896: unused variable 'humanChrSort' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2898: unused variable 'humanChrSort' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2900: unused variable 'humanChrSort' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2904: unused variable 'humanStartValue' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2908: unused variable 'humanChrSort' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2908: unused variable 'humanStartValue' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2927: unused variable 'polymiRTS' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2929: unused variable 'polymiRTS' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2938: unused variable 'literatureCorrelation' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:2940: unused variable 'literatureCorrelation' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:3045: unused variable 'humanChrSort' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:3047: unused variable 'humanChrSort' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:3049: unused variable 'humanChrSort' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:3052: unused variable 'humanChrSort' (60% confidence) -wqflask/wqflask/marker_regression/marker_regression_gn1.py:3110: unused function 'getSortByValue' (60% confidence) -wqflask/wqflask/marker_regression/MarkerRegressionPage.py:31: unused import 'urllib' (90% confidence) -wqflask/wqflask/marker_regression/MarkerRegressionPage.py:48: unused class 'MarkerRegressionPage' (60% confidence) -wqflask/wqflask/marker_regression/MarkerRegressionPage.py:621: unused variable 'startPixelX' (60% confidence) -wqflask/wqflask/marker_regression/MarkerRegressionPage.py:622: unused variable 'endPixelX' (60% confidence) -wqflask/wqflask/marker_regression/MarkerRegressionPage.py:667: unused variable 'startPixelX' (60% confidence) -wqflask/wqflask/marker_regression/MarkerRegressionPage.py:668: unused variable 'endPixelX' (60% confidence) -wqflask/wqflask/marker_regression/MarkerRegressionPage.py:1001: unused variable 'maxAdd' (60% confidence) -wqflask/wqflask/marker_regression/MarkerRegressionPage.py:1164: unused variable 'spacingFromLineToLabel' (60% confidence) -wqflask/wqflask/marker_regression/MarkerRegressionPage.py:1170: unused variable 'graphMbWidth' (60% confidence) -wqflask/wqflask/marker_regression/MarkerRegressionPage.py:1245: unused variable 'spacingFromLineToLabel' (60% confidence) -wqflask/wqflask/marker_regression/MarkerRegressionPage.py:1251: unused variable 'graphMbWidth' (60% confidence) -wqflask/wqflask/marker_regression/plink_mapping.py:111: unused variable 'header_line' (60% confidence) -wqflask/wqflask/marker_regression/qtlreaper_mapping.py:29: unused variable 'highly_significant' (60% confidence) -wqflask/wqflask/marker_regression/rqtl_mapping.py:14: unused variable 'r_sum' (60% confidence) -wqflask/wqflask/marker_regression/rqtl_mapping.py:16: unused variable 'postscript' (60% confidence) -wqflask/wqflask/marker_regression/rqtl_mapping.py:26: unused variable 'read_cross' (60% confidence) -wqflask/wqflask/marker_regression/rqtl_mapping.py:27: unused variable 'write_cross' (60% confidence) -wqflask/wqflask/model.py:9: unused import 'SQLAlchemy' (90% confidence) -wqflask/wqflask/model.py:15: unused import 'Integer' (90% confidence) -wqflask/wqflask/model.py:15: unused import 'String' (90% confidence) -wqflask/wqflask/model.py:15: unused import 'Table' (90% confidence) -wqflask/wqflask/model.py:17: unused import 'backref' (90% confidence) -wqflask/wqflask/model.py:45: unused variable 'active' (60% confidence) -wqflask/wqflask/model.py:47: unused variable 'registration_info' (60% confidence) -wqflask/wqflask/model.py:65: unused function 'display_num_collections' (60% confidence) -wqflask/wqflask/model.py:99: unused property 'login_count' (60% confidence) -wqflask/wqflask/model.py:104: unused property 'confirmed_at' (60% confidence) -wqflask/wqflask/model.py:112: unused property 'superuser_info' (60% confidence) -wqflask/wqflask/model.py:119: unused property 'crowner' (60% confidence) -wqflask/wqflask/model.py:129: unused property 'most_recent_login' (60% confidence) -wqflask/wqflask/model.py:146: unused variable 'ip_address' (60% confidence) -wqflask/wqflask/model.py:147: unused variable 'successful' (60% confidence) -wqflask/wqflask/model.py:155: unused attribute 'ip_address' (60% confidence) -wqflask/wqflask/model.py:195: unused function 'user_uuid' (60% confidence) -wqflask/wqflask/model.py:197: unused variable 'user_uuid' (60% confidence) -wqflask/wqflask/network_graph/network_graph.py:26: unused import 'gc' (90% confidence) -wqflask/wqflask/network_graph/network_graph.py:98: unused attribute 'network_data' (60% confidence) -wqflask/wqflask/news.py:16: unused attribute 'newslist' (60% confidence) -wqflask/wqflask/search_results.py:121: unused attribute 'json_trait_list' (60% confidence) -wqflask/wqflask/send_mail.py:41: unused attribute 'From' (60% confidence) -wqflask/wqflask/send_mail.py:42: unused attribute 'To' (60% confidence) -wqflask/wqflask/send_mail.py:43: unused attribute 'Subject' (60% confidence) -wqflask/wqflask/send_mail.py:44: unused attribute 'Body' (60% confidence) -wqflask/wqflask/show_trait/export_trait_data.py:3: unused import 'operator' (90% confidence) -wqflask/wqflask/show_trait/SampleList.py:28: unused attribute 'sample_group_type' (60% confidence) -wqflask/wqflask/show_trait/SampleList.py:29: unused attribute 'header' (60% confidence) -wqflask/wqflask/show_trait/SampleList.py:66: unused attribute 'this_id' (60% confidence) -wqflask/wqflask/show_trait/SampleList.py:68: unused attribute 'this_id' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:27: unused import 'BasicStatisticsFunctions' (90% confidence) -wqflask/wqflask/show_trait/show_trait.py:123: unused attribute 'UCSC_BLAT_URL' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:124: unused attribute 'UTHSC_BLAT_URL' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:126: unused attribute 'UCSC_BLAT_URL' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:127: unused attribute 'UTHSC_BLAT_URL' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:129: unused attribute 'UCSC_BLAT_URL' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:130: unused attribute 'UTHSC_BLAT_URL' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:132: unused attribute 'UCSC_BLAT_URL' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:133: unused attribute 'UTHSC_BLAT_URL' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:135: unused attribute 'UCSC_BLAT_URL' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:136: unused attribute 'UTHSC_BLAT_URL' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:183: unused attribute 'hddn' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:198: unused attribute 'stats_table_width' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:198: unused attribute 'trait_table_width' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:232: unused attribute 'genofiles' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:233: unused attribute 'use_plink_gemma' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:234: unused attribute 'use_pylmm_rqtl' (60% confidence) -wqflask/wqflask/show_trait/show_trait.py:262: unused attribute 'corr_tools' (60% confidence) -wqflask/wqflask/show_trait/show_trait_page.py:41: unused class 'ShowTraitPage' (60% confidence) -wqflask/wqflask/show_trait/show_trait_page.py:44: unused attribute 'fd' (60% confidence) -wqflask/wqflask/show_trait/show_trait_page.py:67: unused variable 'indId' (60% confidence) -wqflask/wqflask/show_trait/show_trait_page.py:67: unused variable 'indName' (60% confidence) -wqflask/wqflask/show_trait/show_trait_page.py:138: unused attribute 'display_variance' (60% confidence) -wqflask/wqflask/show_trait/show_trait_page.py:139: unused attribute 'formID' (60% confidence) -wqflask/wqflask/tracer.py:37: unused function 'turn_on' (60% confidence) -wqflask/wqflask/user_manager.py:69: unused function 'add_collection' (60% confidence) -wqflask/wqflask/user_manager.py:123: unused function 'display_num_collections' (60% confidence) -wqflask/wqflask/user_manager.py:259: unused attribute 'thank_you_mode' (60% confidence) -wqflask/wqflask/user_manager.py:299: unused attribute 'registration_info' (60% confidence) -wqflask/wqflask/user_manager.py:305: unused attribute 'algorithm' (60% confidence) -wqflask/wqflask/user_manager.py:316: unused attribute 'created_ts' (60% confidence) -wqflask/wqflask/user_manager.py:411: unused function 'verify_email' (60% confidence) -wqflask/wqflask/user_manager.py:425: unused function 'password_reset' (60% confidence) -wqflask/wqflask/user_manager.py:456: unused function 'password_reset_step2' (60% confidence) -wqflask/wqflask/user_manager.py:497: unused function 'reencode_standalone' (60% confidence) -wqflask/wqflask/user_manager.py:519: unused function 'github_oauth2' (60% confidence) -wqflask/wqflask/user_manager.py:549: unused function 'orcid_oauth2' (60% confidence) -wqflask/wqflask/user_manager.py:606: unused attribute 'login_type' (60% confidence) -wqflask/wqflask/user_manager.py:691: unused attribute 'successful' (60% confidence) -wqflask/wqflask/user_manager.py:693: unused attribute 'assumed_by' (60% confidence) -wqflask/wqflask/user_manager.py:715: unused attribute 'successful' (60% confidence) -wqflask/wqflask/user_manager.py:719: unused function 'logout' (60% confidence) -wqflask/wqflask/user_manager.py:730: unused function 'forgot_password' (60% confidence) -wqflask/wqflask/user_manager.py:735: unused function 'forgot_password_submit' (60% confidence) -wqflask/wqflask/user_manager.py:755: unused function 'unauthorized' (60% confidence) -wqflask/wqflask/user_manager.py:770: unused function 'manage_users' (60% confidence) -wqflask/wqflask/user_manager.py:776: unused function 'manage_user' (60% confidence) -wqflask/wqflask/user_manager.py:782: unused function 'manage_groups' (60% confidence) -wqflask/wqflask/user_manager.py:788: unused function 'make_superuser' (60% confidence) -wqflask/wqflask/user_manager.py:801: unused function 'assume_identity' (60% confidence) -wqflask/wqflask/user_manager.py:811: unused function 'register' (60% confidence) -wqflask/wqflask/user_manager.py:921: unused class 'RolesManager' (60% confidence) -wqflask/wqflask/views.py:17: unused import 'gc' (90% confidence) -wqflask/wqflask/views.py:23: unused import 'yaml' (90% confidence) -wqflask/wqflask/views.py:70: unused import 'werkzeug' (90% confidence) -wqflask/wqflask/views.py:77: unused function 'connect_db' (60% confidence) -wqflask/wqflask/views.py:82: unused attribute '_database' (60% confidence) -wqflask/wqflask/views.py:85: unused function 'shutdown_session' (60% confidence) -wqflask/wqflask/views.py:86: unused variable 'exception' (60% confidence) -wqflask/wqflask/views.py:98: unused function 'handle_bad_request' (60% confidence) -wqflask/wqflask/views.py:104: unused variable 'exc_traceback' (60% confidence) -wqflask/wqflask/views.py:104: unused variable 'exc_type' (60% confidence) -wqflask/wqflask/views.py:104: unused variable 'exc_value' (60% confidence) -wqflask/wqflask/views.py:123: unused function 'index_page' (60% confidence) -wqflask/wqflask/views.py:140: unused function 'tmp_page' (60% confidence) -wqflask/wqflask/views.py:154: unused function 'cytoscape' (60% confidence) -wqflask/wqflask/views.py:158: unused function 'twitter' (60% confidence) -wqflask/wqflask/views.py:178: unused function 'search_page' (60% confidence) -wqflask/wqflask/views.py:219: unused function 'gsearchact' (60% confidence) -wqflask/wqflask/views.py:229: unused function 'gsearch_updating' (60% confidence) -wqflask/wqflask/views.py:241: unused function 'docedit' (60% confidence) -wqflask/wqflask/views.py:247: unused function 'generated_file' (60% confidence) -wqflask/wqflask/views.py:252: unused function 'help' (60% confidence) -wqflask/wqflask/views.py:258: unused function 'wcgna_setup' (60% confidence) -wqflask/wqflask/views.py:264: unused function 'wcgna_results' (60% confidence) -wqflask/wqflask/views.py:273: unused function 'ctl_setup' (60% confidence) -wqflask/wqflask/views.py:279: unused function 'ctl_results' (60% confidence) -wqflask/wqflask/views.py:288: unused function 'news_route' (60% confidence) -wqflask/wqflask/views.py:293: unused function 'references' (60% confidence) -wqflask/wqflask/views.py:299: unused function 'intro' (60% confidence) -wqflask/wqflask/views.py:304: unused function 'policies' (60% confidence) -wqflask/wqflask/views.py:309: unused function 'links' (60% confidence) -wqflask/wqflask/views.py:314: unused function 'environments' (60% confidence) -wqflask/wqflask/views.py:319: unused function 'submit_trait_form' (60% confidence) -wqflask/wqflask/views.py:325: unused function 'create_temp_trait' (60% confidence) -wqflask/wqflask/views.py:335: unused function 'export_trait_excel' (60% confidence) -wqflask/wqflask/views.py:361: unused function 'export_trait_csv' (60% confidence) -wqflask/wqflask/views.py:382: unused function 'export_traits_csv' (60% confidence) -wqflask/wqflask/views.py:394: unused function 'export_perm_data' (60% confidence) -wqflask/wqflask/views.py:418: unused function 'show_temp_trait_page' (60% confidence) -wqflask/wqflask/views.py:433: unused function 'show_trait_page' (60% confidence) -wqflask/wqflask/views.py:448: unused function 'heatmap_page' (60% confidence) -wqflask/wqflask/views.py:495: unused function 'mapping_results_container_page' (60% confidence) -wqflask/wqflask/views.py:499: unused function 'loading_page' (60% confidence) -wqflask/wqflask/views.py:556: unused function 'marker_regression_page' (60% confidence) -wqflask/wqflask/views.py:696: unused function 'export' (60% confidence) -wqflask/wqflask/views.py:706: unused function 'export_pdf' (60% confidence) -wqflask/wqflask/views.py:714: unused variable 'filepath' (60% confidence) -wqflask/wqflask/views.py:720: unused function 'network_graph_page' (60% confidence) -wqflask/wqflask/views.py:736: unused function 'corr_compute_page' (60% confidence) -wqflask/wqflask/views.py:744: unused function 'corr_matrix_page' (60% confidence) -wqflask/wqflask/views.py:761: unused function 'corr_scatter_plot_page' (60% confidence) -wqflask/wqflask/views.py:770: unused function 'submit_bnw' (60% confidence) -wqflask/wqflask/views.py:786: unused function 'get_temp_data' (60% confidence) -wqflask/wqflask/wgcna/wgcna_analysis.py:5: unused import 'sp' (90% confidence) -wqflask/wqflask/wgcna/wgcna_analysis.py:18: unused variable 'utils' (60% confidence) -wqflask/wqflask/wgcna/wgcna_analysis.py:23: unused variable 'r_read_csv' (60% confidence) -wqflask/wqflask/wgcna/wgcna_analysis.py:24: unused variable 'r_dim' (60% confidence) -wqflask/wqflask/wgcna/wgcna_analysis.py:27: unused variable 'r_paste' (60% confidence) -wqflask/wqflask/wgcna/wgcna_analysis.py:33: unused variable 'r_matrix' (60% confidence) -wqflask/wqflask/wgcna/wgcna_analysis.py:34: unused variable 'r_seq' (60% confidence) -wqflask/wqflask/wgcna/wgcna_analysis.py:36: unused variable 'r_names' (60% confidence) -wqflask/wqflask/wgcna/wgcna_analysis.py:37: unused variable 'r_sink' (60% confidence) -wqflask/wqflask/wgcna/wgcna_analysis.py:38: unused variable 'r_is_NA' (60% confidence) -wqflask/wqflask/wgcna/wgcna_analysis.py:39: unused variable 'r_file' (60% confidence) diff --git a/wqflask/base/data_set.py b/wqflask/base/data_set.py index 4a422ee4..1f99df49 100644 --- a/wqflask/base/data_set.py +++ b/wqflask/base/data_set.py @@ -26,6 +26,7 @@ import collections import codecs import json +import requests import gzip import cPickle as pickle import itertools @@ -43,8 +44,11 @@ from db import webqtlDatabaseFunction from utility import webqtlUtil from utility.benchmark import Bench from utility import chunks +from utility import gen_geno_ob from utility.tools import locate, locate_ignore_error, flat_files +from wqflask.api import gen_menu + from maintenance import get_group_samplelists from MySQLdb import escape_string as escape @@ -52,7 +56,7 @@ from pprint import pformat as pf from db.gn_server import menu_main from db.call import fetchall,fetchone,fetch1 -from utility.tools import USE_GN_SERVER, USE_REDIS, flat_files, flat_file_exists +from utility.tools import USE_GN_SERVER, USE_REDIS, flat_files, flat_file_exists, GN2_BASE_URL from utility.logger import getLogger logger = getLogger(__name__ ) @@ -63,7 +67,6 @@ DS_NAME_MAP = {} def create_dataset(dataset_name, dataset_type = None, get_samplelist = True, group_name = None): if not dataset_type: dataset_type = Dataset_Getter(dataset_name) - logger.debug("dataset_type", dataset_type) dataset_ob = DS_NAME_MAP[dataset_type] dataset_class = globals()[dataset_ob] @@ -90,12 +93,9 @@ Publish or ProbeSet. E.g. """ self.datasets = {} - if USE_GN_SERVER: - data = menu_main() - else: - file_name = "wqflask/static/new/javascript/dataset_menu_structure.json" - with open(file_name, 'r') as fh: - data = json.load(fh) + data = json.loads(requests.get(GN2_BASE_URL + "/api/v_pre1/gen_dropdown").content) + #data = gen_menu.gen_dropdown_json() + for species in data['datasets']: for group in data['datasets'][species]: @@ -109,11 +109,70 @@ Publish or ProbeSet. E.g. else: new_type = "ProbeSet" self.datasets[short_dataset_name] = new_type + # Set LOG_LEVEL_DEBUG=5 to see the following: logger.debugf(5, "datasets",self.datasets) def __call__(self, name): - return self.datasets[name] + if name not in self.datasets: + mrna_expr_query = """ + SELECT + ProbeSetFreeze.Id + FROM + ProbeSetFreeze + WHERE + ProbeSetFreeze.Name = "{0}" + """.format(name) + + results = g.db.execute(geno_query).fetchall() + if len(results): + self.datasets[name] = "ProbeSet" + return self.datasets[name] + + group_name = name.replace("Publish", "") + + pheno_query = """SELECT InfoFiles.GN_AccesionId + FROM InfoFiles, PublishFreeze, InbredSet + WHERE InbredSet.Name = '{0}' AND + PublishFreeze.InbredSetId = InbredSet.Id AND + InfoFiles.InfoPageName = PublishFreeze.Name""".format(group_name) + + results = g.db.execute(pheno_query).fetchall() + if len(results): + self.datasets[name] = "Publish" + return self.datasets[name] + + #ZS: For when there isn't an InfoFiles ID; not sure if this and the preceding query are both necessary + other_pheno_query = """SELECT PublishFreeze.Name + FROM PublishFreeze, InbredSet + WHERE InbredSet.Name = '{}' AND + PublishFreeze.InbredSetId = InbredSet.Id""".format(group_name) + + results = g.db.execute(other_pheno_query).fetchall() + if len(results): + self.datasets[name] = "Publish" + return self.datasets[name] + + geno_query = """ + SELECT + GenoFreezeId + FROM + GenoFreeze + WHERE + GenoFreeze.Name = "{0}" + {1} + """.format(name) + + results = g.db.execute(geno_query).fetchall() + if len(results): + self.datasets[name] = "Geno" + return self.datasets[name] + + #ZS: It shouldn't ever reach this + return None + + else: + return self.datasets[name] # Do the intensive work at startup one time only Dataset_Getter = Dataset_Types() @@ -170,31 +229,25 @@ class Markers(object): def __init__(self, name): json_data_fh = open(locate(name + ".json",'genotype/json')) - try: - markers = [] - with open(locate(name + "_snps.txt", 'r')) as bimbam_fh: + markers = [] + with open("%s/%s_snps.txt" % (flat_files('genotype/bimbam'), name), 'r') as bimbam_fh: + if len(bimbam_fh.readline().split(", ")) > 2: + delimiter = ", " + elif len(bimbam_fh.readline().split(",")) > 2: + delimiter = "," + elif len(bimbam_fh.readline().split("\t")) > 2: + delimiter = "\t" + else: + delimiter = " " + for line in bimbam_fh: marker = {} - if len(bimbam_fh[0].split(", ")) > 2: - delimiter = ", " - elif len(bimbam_fh[0].split(",")) > 2: - delimiter = "," - elif len(bimbam_fh[0].split("\t")) > 2: - delimiter = "\t" - else: - delimiter = " " - for line in bimbam_fh: - marker['name'] = line.split(delimiter)[0] - marker['Mb'] - marker['chr'] = line.split(delimiter)[2] - marker['cM'] - markers.append(marker) - #try: - # markers = json.load(json_data_fh) - except: - markers = [] + marker['name'] = line.split(delimiter)[0].rstrip() + marker['Mb'] = float(line.split(delimiter)[1].rstrip())/1000000 + marker['chr'] = line.split(delimiter)[2].rstrip() + markers.append(marker) for marker in markers: - if (marker['chr'] != "X") and (marker['chr'] != "Y"): + if (marker['chr'] != "X") and (marker['chr'] != "Y") and (marker['chr'] != "M"): marker['chr'] = int(marker['chr']) marker['Mb'] = float(marker['Mb']) @@ -282,7 +335,6 @@ class DatasetGroup(object): """ def __init__(self, dataset, name=None): """This sets self.group and self.group_id""" - #logger.debug("DATASET NAME2:", dataset.name) if name == None: self.name, self.id, self.genetic_type = fetchone(dataset.query_for_group) else: @@ -294,7 +346,6 @@ class DatasetGroup(object): self.parlist = None self.get_f1_parent_strains() - self.accession_id = self.get_accession_id() self.mapping_id, self.mapping_names = self.get_mapping_methods() self.species = webqtlDatabaseFunction.retrieve_species(self.name) @@ -304,27 +355,15 @@ class DatasetGroup(object): self._datasets = None self.genofile = None - def get_accession_id(self): - results = g.db.execute("""select InfoFiles.GN_AccesionId from InfoFiles, PublishFreeze, InbredSet where - InbredSet.Name = %s and - PublishFreeze.InbredSetId = InbredSet.Id and - InfoFiles.InfoPageName = PublishFreeze.Name and - PublishFreeze.public > 0 and - PublishFreeze.confidentiality < 1 order by - PublishFreeze.CreateTime desc""", (self.name)).fetchone() - - if results != None: - return str(results[0]) - else: - return "None" - def get_mapping_methods(self): mapping_id = g.db.execute("select MappingMethodId from InbredSet where Name= '%s'" % self.name).fetchone()[0] if mapping_id == "1": - mapping_names = ["QTLReaper", "PYLMM", "R/qtl"] + mapping_names = ["GEMMA", "QTLReaper", "R/qtl"] elif mapping_id == "2": mapping_names = ["GEMMA"] + elif mapping_id == "3": + mapping_names = ["R/qtl"] elif mapping_id == "4": mapping_names = ["GEMMA", "PLINK"] else: @@ -333,8 +372,6 @@ class DatasetGroup(object): return mapping_id, mapping_names def get_markers(self): - logger.debug("self.species is:", self.species) - def check_plink_gemma(): if flat_file_exists("mapping"): MAPPING_PATH = flat_files("mapping")+"/" @@ -364,30 +401,32 @@ class DatasetGroup(object): if maternal and paternal: self.parlist = [maternal, paternal] + def get_genofiles(self): + jsonfile = "%s/%s.json" % (webqtlConfig.GENODIR, self.name) + try: + f = open(jsonfile) + except: + return None + jsondata = json.load(f) + return jsondata['genofile'] + def get_samplelist(self): result = None - key = "samplelist:v2:" + self.name + key = "samplelist:v3:" + self.name if USE_REDIS: result = Redis.get(key) if result is not None: - #logger.debug("Sample List Cache hit!!!") - #logger.debug("Before unjsonifying {}: {}".format(type(result), result)) self.samplelist = json.loads(result) - #logger.debug(" type: ", type(self.samplelist)) - #logger.debug(" self.samplelist: ", self.samplelist) else: logger.debug("Cache not hit") genotype_fn = locate_ignore_error(self.name+".geno",'genotype') - mapping_fn = locate_ignore_error(self.name+".fam",'mapping') - if mapping_fn: - self.samplelist = get_group_samplelists.get_samplelist("plink", mapping_fn) - elif genotype_fn: + if genotype_fn: self.samplelist = get_group_samplelists.get_samplelist("geno", genotype_fn) else: self.samplelist = None - logger.debug("Sample list: ",self.samplelist) + if USE_REDIS: Redis.set(key, json.dumps(self.samplelist)) Redis.expire(key, 60*5) @@ -398,19 +437,27 @@ class DatasetGroup(object): [result.extend(l) for l in lists if l] return result - def read_genotype_file(self): + def read_genotype_file(self, use_reaper=False): '''Read genotype from .geno file instead of database''' #genotype_1 is Dataset Object without parents and f1 #genotype_2 is Dataset Object with parents and f1 (not for intercross) - genotype_1 = reaper.Dataset() + #genotype_1 = reaper.Dataset() # reaper barfs on unicode filenames, so here we ensure it's a string if self.genofile: - full_filename = str(locate(self.genofile, 'genotype')) + if "RData" in self.genofile: #ZS: This is a temporary fix; I need to change the way the JSON files that point to multiple genotype files are structured to point to other file types like RData + full_filename = str(locate(self.genofile.split(".")[0] + ".geno", 'genotype')) + else: + full_filename = str(locate(self.genofile, 'genotype')) else: full_filename = str(locate(self.name + '.geno', 'genotype')) - genotype_1.read(full_filename) + + if use_reaper: + genotype_1 = reaper.Dataset() + genotype_1.read(full_filename) + else: + genotype_1 = gen_geno_ob.genotype(full_filename) if genotype_1.type == "group" and self.parlist: genotype_2 = genotype_1.add(Mat=self.parlist[0], Pat=self.parlist[1]) #, F1=_f1) @@ -440,7 +487,8 @@ def datasets(group_name, this_group = None): WHERE PublishFreeze.InbredSetId = InbredSet.Id and InbredSet.Name = '%s' and PublishFreeze.public > %s - and PublishFreeze.confidentiality < 1) + and PublishFreeze.confidentiality < 1 + ORDER BY PublishFreeze.Id ASC) UNION (SELECT '#GenoFreeze',GenoFreeze.FullName,GenoFreeze.Name FROM GenoFreeze, InbredSet @@ -457,17 +505,28 @@ def datasets(group_name, this_group = None): and InbredSet.Name like %s and ProbeSetFreeze.public > %s and ProbeSetFreeze.confidentiality < 1 - ORDER BY Tissue.Name, ProbeSetFreeze.CreateTime desc, ProbeSetFreeze.AvgId) + ORDER BY Tissue.Name, ProbeSetFreeze.OrderList DESC) ''' % (group_name, webqtlConfig.PUBLICTHRESH, group_name, webqtlConfig.PUBLICTHRESH, "'" + group_name + "'", webqtlConfig.PUBLICTHRESH)) - for dataset_item in the_results: + sorted_results = sorted(the_results, key=lambda kv: kv[0]) + + pheno_inserted = False #ZS: This is kind of awkward, but need to ensure Phenotypes show up before Genotypes in dropdown + geno_inserted = False + for dataset_item in sorted_results: tissue_name = dataset_item[0] dataset = dataset_item[1] dataset_short = dataset_item[2] if tissue_name in ['#PublishFreeze', '#GenoFreeze']: - dataset_menu.append(dict(tissue=None, datasets=[(dataset, dataset_short)])) + if tissue_name == '#PublishFreeze' and (dataset_short == group_name + 'Publish'): + dataset_menu.insert(0, dict(tissue=None, datasets=[(dataset, dataset_short)])) + pheno_inserted = True + elif pheno_inserted and tissue_name == '#GenoFreeze': + dataset_menu.insert(1, dict(tissue=None, datasets=[(dataset, dataset_short)])) + geno_inserted = True + else: + dataset_menu.append(dict(tissue=None, datasets=[(dataset, dataset_short)])) else: tissue_already_exists = False for i, tissue_dict in enumerate(dataset_menu): @@ -512,11 +571,12 @@ class DataSet(object): self.setup() if self.type == "Temp": #Need to supply group name as input if temp trait - self.group = DatasetGroup(self, group_name) # sets self.group and self.group_id and gets genotype + self.group = DatasetGroup(self, name=group_name) # sets self.group and self.group_id and gets genotype else: self.check_confidentiality() self.retrieve_other_names() self.group = DatasetGroup(self) # sets self.group and self.group_id and gets genotype + self.accession_id = self.get_accession_id() if get_samplelist == True: self.group.get_samplelist() self.species = species.TheSpecies(self) @@ -531,6 +591,31 @@ class DataSet(object): def riset(): Weve_Renamed_This_As_Group + def get_accession_id(self): + if self.type == "Publish": + results = g.db.execute("""select InfoFiles.GN_AccesionId from InfoFiles, PublishFreeze, InbredSet where + InbredSet.Name = %s and + PublishFreeze.InbredSetId = InbredSet.Id and + InfoFiles.InfoPageName = PublishFreeze.Name and + PublishFreeze.public > 0 and + PublishFreeze.confidentiality < 1 order by + PublishFreeze.CreateTime desc""", (self.group.name)).fetchone() + elif self.type == "Geno": + results = g.db.execute("""select InfoFiles.GN_AccesionId from InfoFiles, GenoFreeze, InbredSet where + InbredSet.Name = %s and + GenoFreeze.InbredSetId = InbredSet.Id and + InfoFiles.InfoPageName = GenoFreeze.ShortName and + GenoFreeze.public > 0 and + GenoFreeze.confidentiality < 1 order by + GenoFreeze.CreateTime desc""", (self.group.name)).fetchone() + else: + results = None + + if results != None: + return str(results[0]) + else: + return "None" + def retrieve_other_names(self): """This method fetches the the dataset names in search_result. @@ -677,6 +762,7 @@ class PhenotypeDataSet(DataSet): 'Phenotype.Pre_publication_description', 'Phenotype.Pre_publication_abbreviation', 'Phenotype.Post_publication_abbreviation', + 'PublishXRef.mean', 'Phenotype.Lab_code', 'Publication.PubMed_ID', 'Publication.Abstract', @@ -685,13 +771,14 @@ class PhenotypeDataSet(DataSet): 'PublishXRef.Id'] # Figure out what display_fields is - self.display_fields = ['name', + self.display_fields = ['name', 'group_code', 'pubmed_id', 'pre_publication_description', 'post_publication_description', 'original_description', 'pre_publication_abbreviation', 'post_publication_abbreviation', + 'mean', 'lab_code', 'submitter', 'owner', 'authorized_users', @@ -906,6 +993,7 @@ class MrnaAssayDataSet(DataSet): 'blatseq', 'targetseq', 'chipid', 'comments', 'strand_probe', 'strand_gene', + 'proteinid', 'uniprotid', 'probe_set_target_region', 'probe_set_specificity', 'probe_set_blat_score', diff --git a/wqflask/base/species.py b/wqflask/base/species.py index 4ac2213c..6d99af65 100644 --- a/wqflask/base/species.py +++ b/wqflask/base/species.py @@ -14,10 +14,13 @@ from utility.logger import getLogger logger = getLogger(__name__ ) class TheSpecies(object): - def __init__(self, dataset): - self.dataset = dataset - #print("self.dataset is:", pf(self.dataset.__dict__)) - self.chromosomes = Chromosomes(self.dataset) + def __init__(self, dataset=None, species_name=None): + if species_name != None: + self.name = species_name + self.chromosomes = Chromosomes(species=self.name) + else: + self.dataset = dataset + self.chromosomes = Chromosomes(dataset=self.dataset) class IndChromosome(object): def __init__(self, name, length): @@ -30,11 +33,21 @@ class IndChromosome(object): return self.length / 1000000 class Chromosomes(object): - def __init__(self, dataset): - self.dataset = dataset + def __init__(self, dataset=None, species=None): self.chromosomes = collections.OrderedDict() + if species != None: + query = """ + Select + Chr_Length.Name, Chr_Length.OrderId, Length from Chr_Length, Species + where + Chr_Length.SpeciesId = Species.SpeciesId AND + Species.Name = '%s' + Order by OrderId + """ % species.capitalize() + else: + self.dataset = dataset - query = """ + query = """ Select Chr_Length.Name, Chr_Length.OrderId, Length from Chr_Length, InbredSet where diff --git a/wqflask/base/trait.py b/wqflask/base/trait.py index 3daf9ea9..e454c593 100644 --- a/wqflask/base/trait.py +++ b/wqflask/base/trait.py @@ -3,14 +3,18 @@ from __future__ import absolute_import, division, print_function import string import resource import codecs +import requests -from htmlgen import HTMLgen2 as HT +import redis +Redis = redis.StrictRedis() from base import webqtlConfig from base.webqtlCaseData import webqtlCaseData from base.data_set import create_dataset from db import webqtlDatabaseFunction from utility import webqtlUtil +from utility import hmac +from utility.tools import GN2_BASE_URL from wqflask import app @@ -23,8 +27,6 @@ from flask import Flask, g, request, url_for from utility.logger import getLogger logger = getLogger(__name__ ) -from wqflask import user_manager - class GeneralTrait(object): """ Trait class defines a trait in webqtl, can be either Microarray, @@ -35,13 +37,15 @@ class GeneralTrait(object): def __init__(self, get_qtl_info=False, get_sample_info=True, **kw): # xor assertion assert bool(kw.get('dataset')) != bool(kw.get('dataset_name')), "Needs dataset ob. or name"; + self.name = kw.get('name') # Trait ID, ProbeSet ID, Published ID, etc. if kw.get('dataset_name'): - self.dataset = create_dataset(kw.get('dataset_name')) - #print(" in GeneralTrait created dataset:", self.dataset) + if kw.get('dataset_name') == "Temp": + temp_group = self.name.split("_")[2] + self.dataset = create_dataset(dataset_name = "Temp", dataset_type = "Temp", group_name = temp_group) + else: + self.dataset = create_dataset(kw.get('dataset_name')) else: self.dataset = kw.get('dataset') - self.name = kw.get('name') # Trait ID, ProbeSet ID, Published ID, etc. - #print("THE NAME IS:", self.name) self.cellid = kw.get('cellid') self.identification = kw.get('identification', 'un-named trait') self.haveinfo = kw.get('haveinfo', False) @@ -57,6 +61,7 @@ class GeneralTrait(object): self.num_overlap = None self.strand_probe = None self.symbol = None + self.display_name = self.name self.LRS_score_repr = "N/A" self.LRS_location_repr = "N/A" @@ -73,8 +78,8 @@ class GeneralTrait(object): # So we could add a simple if statement to short-circuit this if necessary if self.dataset.type != "Temp": self = retrieve_trait_info(self, self.dataset, get_qtl_info=get_qtl_info) - if get_sample_info != False: - self = retrieve_sample_data(self, self.dataset) + if get_sample_info != False: + self = retrieve_sample_data(self, self.dataset) def export_informative(self, include_variance=0): """ @@ -117,11 +122,36 @@ class GeneralTrait(object): @property def alias_fmt(self): '''Return a text formatted alias''' + + alias = 'Not available' if self.alias: alias = string.replace(self.alias, ";", " ") alias = string.join(string.split(alias), ", ") - else: - alias = 'Not available' + + return alias + + @property + def wikidata_alias_fmt(self): + '''Return a text formatted alias''' + + alias = 'Not available' + if self.symbol: + human_response = requests.get(GN2_BASE_URL + "gn3/gene/aliases/" + self.symbol.upper()) + mouse_response = requests.get(GN2_BASE_URL + "gn3/gene/aliases/" + self.symbol.capitalize()) + other_response = requests.get(GN2_BASE_URL + "gn3/gene/aliases/" + self.symbol.lower()) + + if human_response and mouse_response and other_response: + alias_list = json.loads(human_response.content) + json.loads(mouse_response.content) + json.loads(other_response.content) + + filtered_aliases = [] + seen = set() + for item in alias_list: + if item in seen: + continue + else: + filtered_aliases.append(item) + seen.add(item) + alias = "; ".join(filtered_aliases) return alias @@ -154,18 +184,27 @@ def retrieve_sample_data(trait, dataset, samplelist=None): if samplelist == None: samplelist = [] - results = dataset.retrieve_sample_data(trait.name) + if dataset.type == "Temp": + results = Redis.get(trait.name).split() + else: + results = dataset.retrieve_sample_data(trait.name) # Todo: is this necessary? If not remove trait.data.clear() - all_samples_ordered = dataset.group.all_samples_ordered() - if results: - for item in results: - name, value, variance, num_cases, name2 = item - if not samplelist or (samplelist and name in samplelist): - trait.data[name] = webqtlCaseData(*item) #name, value, variance, num_cases) + if dataset.type == "Temp": + all_samples_ordered = dataset.group.all_samples_ordered() + for i, item in enumerate(results): + try: + trait.data[all_samples_ordered[i]] = webqtlCaseData(all_samples_ordered[i], float(item)) + except: + pass + else: + for item in results: + name, value, variance, num_cases, name2 = item + if not samplelist or (samplelist and name in samplelist): + trait.data[name] = webqtlCaseData(*item) #name, value, variance, num_cases) return trait @app.route("/trait/get_sample_data") @@ -189,7 +228,8 @@ def get_sample_data(): trait_dict['symbol'] = trait_ob.symbol trait_dict['location'] = trait_ob.location_repr elif trait_ob.dataset.type == "Publish": - trait_dict['pubmed_link'] = trait_ob.pubmed_link + if trait_ob.pubmed_id: + trait_dict['pubmed_link'] = trait_ob.pubmed_link trait_dict['pubmed_text'] = trait_ob.pubmed_text return json.dumps([trait_dict, {key: value.value for key, value in trait_ob.data.iteritems() }]) @@ -205,6 +245,7 @@ def jsonable(trait): return dict(name=trait.name, symbol=trait.symbol, dataset=dataset.name, + dataset_name = dataset.shortname, description=trait.description_display, mean=trait.mean, location=trait.location_repr, @@ -216,7 +257,9 @@ def jsonable(trait): if trait.pubmed_id: return dict(name=trait.name, dataset=dataset.name, + dataset_name = dataset.shortname, description=trait.description_display, + abbreviation=trait.abbreviation, authors=trait.authors, pubmed_text=trait.pubmed_text, pubmed_link=trait.pubmed_link, @@ -227,7 +270,9 @@ def jsonable(trait): else: return dict(name=trait.name, dataset=dataset.name, + dataset_name = dataset.shortname, description=trait.description_display, + abbreviation=trait.abbreviation, authors=trait.authors, pubmed_text=trait.pubmed_text, lrs_score=trait.LRS_score_repr, @@ -237,6 +282,7 @@ def jsonable(trait): elif dataset.type == "Geno": return dict(name=trait.name, dataset=dataset.name, + dataset_name = dataset.shortname, location=trait.location_repr ) else: @@ -258,7 +304,7 @@ def jsonable_table_row(trait, dataset_name, index): additive = "N/A" else: additive = "%.3f" % round(float(trait.additive), 2) - return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + user_manager.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', + return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + hmac.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', index, '<a href="/show_trait?trait_id='+str(trait.name)+'&dataset='+dataset.name+'">'+str(trait.name)+'</a>', trait.symbol, @@ -274,7 +320,7 @@ def jsonable_table_row(trait, dataset_name, index): else: additive = "%.2f" % round(float(trait.additive), 2) if trait.pubmed_id: - return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + user_manager.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', + return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + hmac.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', index, '<a href="/show_trait?trait_id='+str(trait.name)+'&dataset='+dataset.name+'">'+str(trait.name)+'</a>', trait.description_display, @@ -284,7 +330,7 @@ def jsonable_table_row(trait, dataset_name, index): trait.LRS_location_repr, additive] else: - return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + user_manager.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', + return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + hmac.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', index, '<a href="/show_trait?trait_id='+str(trait.name)+'&dataset='+dataset.name+'">'+str(trait.name)+'</a>', trait.description_display, @@ -294,7 +340,7 @@ def jsonable_table_row(trait, dataset_name, index): trait.LRS_location_repr, additive] elif dataset.type == "Geno": - return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + user_manager.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', + return ['<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + hmac.data_hmac('{}:{}'.format(str(trait.name), dataset.name)) + '">', index, '<a href="/show_trait?trait_id='+str(trait.name)+'&dataset='+dataset.name+'">'+str(trait.name)+'</a>', trait.location_repr] @@ -307,21 +353,22 @@ def retrieve_trait_info(trait, dataset, get_qtl_info=False): if dataset.type == 'Publish': query = """ SELECT - PublishXRef.Id, Publication.PubMed_ID, + PublishXRef.Id, InbredSet.InbredSetCode, Publication.PubMed_ID, Phenotype.Pre_publication_description, Phenotype.Post_publication_description, Phenotype.Original_description, - Phenotype.Pre_publication_abbreviation, Phenotype.Post_publication_abbreviation, + Phenotype.Pre_publication_abbreviation, Phenotype.Post_publication_abbreviation, PublishXRef.mean, Phenotype.Lab_code, Phenotype.Submitter, Phenotype.Owner, Phenotype.Authorized_Users, Publication.Authors, Publication.Title, Publication.Abstract, Publication.Journal, Publication.Volume, Publication.Pages, Publication.Month, Publication.Year, PublishXRef.Sequence, Phenotype.Units, PublishXRef.comments FROM - PublishXRef, Publication, Phenotype, PublishFreeze + PublishXRef, Publication, Phenotype, PublishFreeze, InbredSet WHERE PublishXRef.Id = %s AND Phenotype.Id = PublishXRef.PhenotypeId AND Publication.Id = PublishXRef.PublicationId AND PublishXRef.InbredSetId = PublishFreeze.InbredSetId AND + PublishXRef.InbredSetId = InbredSet.Id AND PublishFreeze.Id = %s """ % (trait.name, dataset.id) @@ -371,17 +418,25 @@ def retrieve_trait_info(trait, dataset, get_qtl_info=False): trait_info = g.db.execute(query, (string.join(dataset.display_fields,','), dataset.type, trait.name)).fetchone() + if trait_info: trait.haveinfo = True #XZ: assign SQL query result to trait attributes. for i, field in enumerate(dataset.display_fields): holder = trait_info[i] + # if isinstance(trait_info[i], basestring): + # logger.debug("HOLDER:", holder) + # logger.debug("HOLDER2:", holder.decode(encoding='latin1')) + # holder = unicode(trait_info[i], "utf-8", "ignore") if isinstance(trait_info[i], basestring): - holder = unicode(trait_info[i], "utf-8", "ignore") + holder = holder.encode('latin1') setattr(trait, field, holder) if dataset.type == 'Publish': + if trait.group_code: + trait.display_name = trait.group_code + "_" + str(trait.name) + trait.confidential = 0 if trait.pre_publication_description and not trait.pubmed_id: trait.confidential = 1 @@ -392,6 +447,7 @@ def retrieve_trait_info(trait, dataset, get_qtl_info=False): #phenotype traits, then display the pre-publication description instead #of the post-publication description if trait.confidential: + trait.abbreviation = trait.pre_publication_abbreviation trait.description_display = trait.pre_publication_description #if not webqtlUtil.hasAccessToConfidentialPhenotypeTrait( @@ -401,11 +457,16 @@ def retrieve_trait_info(trait, dataset, get_qtl_info=False): # # description = self.pre_publication_description else: + trait.abbreviation = trait.post_publication_abbreviation if description: trait.description_display = description.strip() else: trait.description_display = "" + trait.abbreviation = unicode(str(trait.abbreviation).strip(codecs.BOM_UTF8), 'utf-8', errors="replace") + trait.description_display = unicode(str(trait.description_display).strip(codecs.BOM_UTF8), 'utf-8', errors="replace") + trait.authors = unicode(str(trait.authors).strip(codecs.BOM_UTF8), 'utf-8', errors="replace") + if not trait.year.isdigit(): trait.pubmed_text = "N/A" else: @@ -443,7 +504,9 @@ def retrieve_trait_info(trait, dataset, get_qtl_info=False): #LRS and its location trait.LRS_score_repr = "N/A" trait.LRS_location_repr = "N/A" + trait.locus = trait.locus_chr = trait.locus_mb = trait.lrs = trait.pvalue = trait.additive = "" if dataset.type == 'ProbeSet' and not trait.cellid: + trait.mean = "" query = """ SELECT ProbeSetXRef.Locus, ProbeSetXRef.LRS, ProbeSetXRef.pValue, ProbeSetXRef.mean, ProbeSetXRef.additive @@ -474,9 +537,6 @@ def retrieve_trait_info(trait, dataset, get_qtl_info=False): trait.locus = trait.locus_chr = trait.locus_mb = trait.additive = "" else: trait.locus = trait.locus_chr = trait.locus_mb = trait.additive = "" - else: - trait.locus = trait.locus_chr = trait.locus_mb = trait.lrs = trait.pvalue = trait.mean = trait.additive = "" - if dataset.type == 'Publish': query = """ diff --git a/wqflask/base/webqtlCaseData.py b/wqflask/base/webqtlCaseData.py index 24de8dcb..d8487f01 100644 --- a/wqflask/base/webqtlCaseData.py +++ b/wqflask/base/webqtlCaseData.py @@ -49,7 +49,7 @@ class webqtlCaseData(object): if self.variance != None: str += " variance=%2.3f" % self.variance if self.num_cases: - str += " ndata=%d" % self.num_cases + str += " ndata=%s" % self.num_cases if self.name: str += " name=%s" % self.name if self.name2: @@ -77,3 +77,10 @@ class webqtlCaseData(object): return "%2.3f" % self.variance else: return "x" + + @property + def display_num_cases(self): + if self.num_cases != None: + return "%s" % self.num_cases + else: + return "x" diff --git a/wqflask/base/webqtlConfig.py b/wqflask/base/webqtlConfig.py index 4708bf0a..018d5d54 100644 --- a/wqflask/base/webqtlConfig.py +++ b/wqflask/base/webqtlConfig.py @@ -34,6 +34,30 @@ PUBMEDLINK_URL = "http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db= UCSC_BLAT = 'http://genome.ucsc.edu/cgi-bin/hgBlat?org=%s&db=%s&type=0&sort=0&output=0&userSeq=%s' UTHSC_BLAT = 'http://ucscbrowser.genenetwork.org/cgi-bin/hgBlat?org=%s&db=%s&type=0&sort=0&output=0&userSeq=%s' UTHSC_BLAT2 = 'http://ucscbrowserbeta.genenetwork.org/cgi-bin/hgBlat?org=%s&db=%s&type=0&sort=0&output=0&userSeq=%s' +GENOMEBROWSER_URL="https://genome.ucsc.edu/cgi-bin/hgTracks?db=%s&position=%s" +NCBI_LOCUSID = "http://www.ncbi.nlm.nih.gov/gene?cmd=Retrieve&dopt=Graphics&list_uids=%s" +GENBANK_ID = "http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=Nucleotide&cmd=search&doptcmdl=DocSum&term=%s" +OMIM_ID = "http://www.ncbi.nlm.nih.gov/omim/%s" +UNIGEN_ID = "http://www.ncbi.nlm.nih.gov/UniGene/clust.cgi?ORG=%s&CID=%s" +HOMOLOGENE_ID = "http://www.ncbi.nlm.nih.gov/homologene/?term=%s" +GENOTATION_URL = "http://www.genotation.org/Getd2g.pl?gene_list=%s" +GTEX_URL = "https://www.gtexportal.org/home/gene/%s" +GENEBRIDGE_URL = "https://www.systems-genetics.org/modules_by_gene/%s?organism=%s" +GENEMANIA_URL = "https://genemania.org/search/%s/%s" +UCSC_REFSEQ = "http://genome.cse.ucsc.edu/cgi-bin/hgTracks?db=%s&hgg_gene=%s&hgg_chrom=chr%s&hgg_start=%s&hgg_end=%s" +BIOGPS_URL = "http://biogps.org/?org=%s#goto=genereport&id=%s" +STRING_URL = "http://string-db.org/newstring_cgi/show_network_section.pl?identifier=%s" +PANTHER_URL = "http://www.pantherdb.org/genes/geneList.do?searchType=basic&fieldName=all&organism=all&listType=1&fieldValue=%s" +GEMMA_URL = "http://www.chibi.ubc.ca/Gemma/gene/showGene.html?ncbiid=%s" +ABA_URL = "http://mouse.brain-map.org/search/show?search_type=gene&search_term=%s" +EBIGWAS_URL = "https://www.ebi.ac.uk/gwas/search?query=%s" +WIKI_PI_URL = "http://severus.dbmi.pitt.edu/wiki-pi/index.php/search?q=%s" +ENSEMBLETRANSCRIPT_URL="http://useast.ensembl.org/Mus_musculus/Transcript/Idhistory?t=%s" +DBSNP = 'http://ensembl.org/Mus_musculus/Variation/Population?v=%s' +PROTEIN_ATLAS_URL = "http://www.proteinatlas.org/search/%s" +OPEN_TARGETS_URL = "https://genetics.opentargets.org/gene/%s" +UNIPROT_URL = "https://www.uniprot.org/uniprot/%s" +RGD_URL = "https://rgd.mcw.edu/rgdweb/elasticResults.html?term=%s&category=Gene&species=%s" # Temporary storage (note that this TMPDIR can be set as an # environment variable - use utility.tools.TEMPDIR when you @@ -68,4 +92,3 @@ if not valid_path(JSON_GENODIR): PORTADDR = "http://50.16.251.170" INFOPAGEHREF = '/dbdoc/%s.html' CGIDIR = '/webqtl/' #XZ: The variable name 'CGIDIR' should be changed to 'PYTHONDIR' -SCRIPTFILE = 'main.py' diff --git a/wqflask/maintenance/convert_geno_to_bimbam.py b/wqflask/maintenance/convert_geno_to_bimbam.py index 45522705..528b98cf 100644 --- a/wqflask/maintenance/convert_geno_to_bimbam.py +++ b/wqflask/maintenance/convert_geno_to_bimbam.py @@ -140,6 +140,8 @@ class ConvertGenoFile(object): key, _separater, value = row.partition(':') key = key.strip() value = value.strip() + if key == "@filler": + raise EmptyConfigurations if key in self.haplotype_notation: self.configurations[value] = self.haplotype_notation[key] continue @@ -154,6 +156,8 @@ class ConvertGenoFile(object): if not input_file.endswith(('geno', '.geno.gz')): continue group_name = ".".join(input_file.split('.')[:-1]) + if group_name == "HSNIH-Palmer": + continue geno_output_file = os.path.join(new_directory, group_name + "_geno.txt") pheno_output_file = os.path.join(new_directory, group_name + "_pheno.txt") snp_output_file = os.path.join(new_directory, group_name + "_snps.txt") @@ -176,8 +180,8 @@ class ConvertGenoFile(object): break if __name__=="__main__": - Old_Geno_Directory = """/home/zas1024/genotype_files/genotype/""" - New_Geno_Directory = """/home/zas1024/genotype_files/genotype/bimbam/""" + Old_Geno_Directory = """/export/local/home/zas1024/gn2-zach/genotype_files/genotype""" + New_Geno_Directory = """/export/local/home/zas1024/gn2-zach/genotype_files/genotype/bimbam""" #Input_File = """/home/zas1024/gene/genotype_files/genotypes/BXD.geno""" #Output_File = """/home/zas1024/gene/wqflask/wqflask/pylmm/data/bxd.snps""" #convertob = ConvertGenoFile("/home/zas1024/gene/genotype_files/genotypes/SRxSHRSPF2.geno", "/home/zas1024/gene/genotype_files/new_genotypes/SRxSHRSPF2.json") diff --git a/wqflask/maintenance/gen_select_dataset.py b/wqflask/maintenance/gen_select_dataset.py index 18b2dac9..647e58a2 100644 --- a/wqflask/maintenance/gen_select_dataset.py +++ b/wqflask/maintenance/gen_select_dataset.py @@ -80,7 +80,8 @@ def parse_db_uri(): def get_species(): """Build species list""" - Cursor.execute("select Name, MenuName from Species where Species.Name != 'macaque monkey' order by OrderId") + #Cursor.execute("select Name, MenuName from Species where Species.Name != 'macaque monkey' order by OrderId") + Cursor.execute("select Name, MenuName from Species order by OrderId") species = list(Cursor.fetchall()) return species @@ -120,10 +121,20 @@ def get_types(groups): else: types[species][group_name] = [("Genotypes", "Genotypes")] if group_name in types[species]: - types[species][group_name] += build_types(species, group_name) - else: - types[species][group_name] = build_types(species, group_name) - + types_list = build_types(species, group_name) + if len(types_list) > 0: + types[species][group_name] += types_list + else: + if not phenotypes_exist(group_name) and not genotypes_exist(group_name): + types[species].pop(group_name, None) + groups[species] = tuple(group for group in groups[species] if group[0] != group_name) + else: #ZS: This whole else statement might be unnecessary, need to check + types_list = build_types(species, group_name) + if len(types_list) > 0: + types[species][group_name] = types_list + else: + types[species].pop(group_name, None) + groups[species] = tuple(group for group in groups[species] if group[0] != group_name) return types @@ -187,7 +198,6 @@ def get_datasets(types): for species, group_dict in types.iteritems(): datasets[species] = {} for group, type_list in group_dict.iteritems(): - #print("type_list: ", type_list) datasets[species][group] = {} for type_name in type_list: these_datasets = build_datasets(species, group, type_name[0]) @@ -200,26 +210,31 @@ def get_datasets(types): def build_datasets(species, group, type_name): """Gets dataset names from database""" dataset_text = dataset_value = None + datasets = [] if type_name == "Phenotypes": - print("GROUP:", group) - Cursor.execute("""select InfoFiles.GN_AccesionId from InfoFiles, PublishFreeze, InbredSet where + Cursor.execute("""select InfoFiles.GN_AccesionId, PublishFreeze.Name, PublishFreeze.FullName from InfoFiles, PublishFreeze, InbredSet where InbredSet.Name = '%s' and PublishFreeze.InbredSetId = InbredSet.Id and - InfoFiles.InfoPageName = PublishFreeze.Name and - PublishFreeze.public > 0 and - PublishFreeze.confidentiality < 1 order by - PublishFreeze.CreateTime desc""" % group) + InfoFiles.InfoPageName = PublishFreeze.Name order by + PublishFreeze.CreateTime asc""" % group) - results = Cursor.fetchone() - if results != None: - dataset_id = str(results[0]) + results = Cursor.fetchall() + if len(results) > 0: + for result in results: + print(result) + dataset_id = str(result[0]) + dataset_value = str(result[1]) + if group == 'MDP': + dataset_text = "Mouse Phenome Database" + else: + #dataset_text = "%s Phenotypes" % group + dataset_text = str(result[2]) + datasets.append((dataset_id, dataset_value, dataset_text)) else: dataset_id = "None" - dataset_value = "%sPublish" % group - if group == 'MDP': - dataset_text = "Mouse Phenome Database" - else: - dataset_text = "%s Published Phenotypes" % group + dataset_value = "%sPublish" % group + dataset_text = "%s Phenotypes" % group + datasets.append((dataset_id, dataset_value, dataset_text)) elif type_name == "Genotypes": Cursor.execute("""select InfoFiles.GN_AccesionId from InfoFiles, GenoFreeze, InbredSet where @@ -237,10 +252,9 @@ def build_datasets(species, group, type_name): dataset_id = "None" dataset_value = "%sGeno" % group dataset_text = "%s Genotypes" % group + datasets.append((dataset_id, dataset_value, dataset_text)) - if dataset_value: - return [(dataset_id, dataset_value, dataset_text)] - else: + else: # for mRNA expression/ProbeSet Cursor.execute("""select ProbeSetFreeze.Id, ProbeSetFreeze.Name, ProbeSetFreeze.FullName from ProbeSetFreeze, ProbeFreeze, InbredSet, Tissue, Species where Species.Name = '%s' and Species.Id = InbredSet.SpeciesId and @@ -248,7 +262,7 @@ def build_datasets(species, group, type_name): ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and Tissue.Name = '%s' and ProbeFreeze.TissueId = Tissue.Id and ProbeFreeze.InbredSetId = InbredSet.Id and ProbeSetFreeze.confidentiality < 1 and ProbeSetFreeze.public > 0 order by - ProbeSetFreeze.OrderList asc""" % (species, group, type_name)) + ProbeSetFreeze.CreateTime desc""" % (species, group, type_name)) dataset_results = Cursor.fetchall() datasets = [] @@ -258,7 +272,7 @@ def build_datasets(species, group, type_name): this_dataset_info.append(str(info)) datasets.append(this_dataset_info) - return datasets + return datasets def main(): @@ -271,13 +285,13 @@ def main(): types = get_types(groups) datasets = get_datasets(types) - species.append(('All Species', 'All Species')) - groups['All Species'] = [('All Groups', 'All Groups')] - types['All Species'] = {} - types['All Species']['All Groups'] = [('Phenotypes', 'Phenotypes')] - datasets['All Species'] = {} - datasets['All Species']['All Groups'] = {} - datasets['All Species']['All Groups']['Phenotypes'] = [('All Phenotypes','All Phenotypes')] + #species.append(('All Species', 'All Species')) + #groups['All Species'] = [('All Groups', 'All Groups')] + #types['All Species'] = {} + #types['All Species']['All Groups'] = [('Phenotypes', 'Phenotypes')] + #datasets['All Species'] = {} + #datasets['All Species']['All Groups'] = {} + #datasets['All Species']['All Groups']['Phenotypes'] = [('All Phenotypes','All Phenotypes')] data = dict(species=species, groups=groups, diff --git a/wqflask/maintenance/generate_kinship_from_bimbam.py b/wqflask/maintenance/generate_kinship_from_bimbam.py index f322341d..b53f5dda 100644 --- a/wqflask/maintenance/generate_kinship_from_bimbam.py +++ b/wqflask/maintenance/generate_kinship_from_bimbam.py @@ -32,6 +32,8 @@ class GenerateKinshipMatrices(object): if not input_file.endswith(('geno', '.geno.gz')): continue group_name = ".".join(input_file.split('.')[:-1]) + if group_name == "HSNIH-Palmer": + continue geno_input_file = os.path.join(bimbam_dir, group_name + "_geno.txt") pheno_input_file = os.path.join(bimbam_dir, group_name + "_pheno.txt") convertob = GenerateKinshipMatrices(group_name, geno_input_file, pheno_input_file) @@ -52,8 +54,8 @@ class GenerateKinshipMatrices(object): if __name__=="__main__": - Geno_Directory = """/home/zas1024/genotype_files/genotype/""" - Bimbam_Directory = """/home/zas1024/genotype_files/genotype/bimbam/""" + Geno_Directory = """/export/local/home/zas1024/genotype_files/genotype/""" + Bimbam_Directory = """/export/local/home/zas1024/genotype_files/genotype/bimbam/""" GenerateKinshipMatrices.process_all(Geno_Directory, Bimbam_Directory) #./gemma -g /home/zas1024/genotype_files/genotype/bimbam/BXD_geno.txt -p /home/zas1024/genotype_files/genotype/bimbam/BXD_pheno.txt -gk 1 -o BXD
\ No newline at end of file diff --git a/wqflask/maintenance/geno_to_json.py b/wqflask/maintenance/geno_to_json.py index 789a1691..9579812a 100644 --- a/wqflask/maintenance/geno_to_json.py +++ b/wqflask/maintenance/geno_to_json.py @@ -24,6 +24,8 @@ import simplejson as json from pprint import pformat as pf +#from utility.tools import flat_files + class EmptyConfigurations(Exception): pass @@ -183,8 +185,8 @@ class ConvertGenoFile(object): if __name__=="__main__": - Old_Geno_Directory = """/home/zas1024/genotype_files/genotype/""" - New_Geno_Directory = """/home/zas1024/genotype_files/genotype/json/""" + Old_Geno_Directory = """/export/local/home/zas1024/gn2-zach/genotype_files/genotype""" + New_Geno_Directory = """/export/local/home/zas1024/gn2-zach/genotype_files/genotype/json""" #Input_File = """/home/zas1024/gene/genotype_files/genotypes/BXD.geno""" #Output_File = """/home/zas1024/gene/wqflask/wqflask/pylmm/data/bxd.snps""" #convertob = ConvertGenoFile("/home/zas1024/gene/genotype_files/genotypes/SRxSHRSPF2.geno", "/home/zas1024/gene/genotype_files/new_genotypes/SRxSHRSPF2.json") diff --git a/wqflask/maintenance/get_group_samplelists.py b/wqflask/maintenance/get_group_samplelists.py index 1dc6c46c..fb22898a 100644 --- a/wqflask/maintenance/get_group_samplelists.py +++ b/wqflask/maintenance/get_group_samplelists.py @@ -27,7 +27,7 @@ def get_samplelist_from_geno(genofilename): continue break - headers = line.split() + headers = line.split("\t") if headers[3] == "Mb": samplelist = headers[4:] diff --git a/wqflask/runserver.py b/wqflask/runserver.py index c0ac980a..15572d97 100644 --- a/wqflask/runserver.py +++ b/wqflask/runserver.py @@ -29,11 +29,10 @@ app_config() werkzeug_logger = logging.getLogger('werkzeug') from utility.tools import WEBSERVER_MODE, SERVER_PORT -port = int(SERVER_PORT) if WEBSERVER_MODE == 'DEBUG': app.run(host='0.0.0.0', - port=port, + port=SERVER_PORT, debug=True, use_debugger=False, threaded=False, @@ -42,7 +41,7 @@ if WEBSERVER_MODE == 'DEBUG': elif WEBSERVER_MODE == 'DEV': werkzeug_logger.setLevel(logging.WARNING) app.run(host='0.0.0.0', - port=port, + port=SERVER_PORT, debug=False, use_debugger=False, threaded=False, @@ -50,7 +49,7 @@ elif WEBSERVER_MODE == 'DEV': use_reloader=True) else: # staging/production modes app.run(host='0.0.0.0', - port=port, + port=SERVER_PORT, debug=False, use_debugger=False, threaded=True, diff --git a/wqflask/utility/Plot.py b/wqflask/utility/Plot.py index 529cd117..cce8435d 100644 --- a/wqflask/utility/Plot.py +++ b/wqflask/utility/Plot.py @@ -98,8 +98,6 @@ def find_outliers(vals): """ - logger.debug("xerxes vals is:", pf(vals)) - if vals: #logger.debug("vals is:", pf(vals)) stats = corestats.Stats(vals) @@ -114,7 +112,6 @@ def find_outliers(vals): upper_bound = None lower_bound = None - logger.debug(pf(locals())) return upper_bound, lower_bound # parameter: data is either object returned by reaper permutation function (called by MarkerRegressionPage.py) diff --git a/wqflask/utility/gen_geno_ob.py b/wqflask/utility/gen_geno_ob.py new file mode 100644 index 00000000..23b0b650 --- /dev/null +++ b/wqflask/utility/gen_geno_ob.py @@ -0,0 +1,181 @@ +from __future__ import absolute_import, division, print_function + +import utility.logger +logger = utility.logger.getLogger(__name__ ) + +class genotype(object): + """ + Replacement for reaper.Dataset so we can remove qtlreaper use while still generating mapping output figure + """ + + def __init__(self, filename): + self.group = None + self.type = "riset" + self.prgy = [] + self.nprgy = 0 + self.mat = -1 + self.pat = 1 + self.het = 0 + self.unk = "U" + self.filler = False + self.mb_exists = False + + #ZS: This is because I'm not sure if some files switch the column that contains Mb/cM positions; might be unnecessary + self.cm_column = 2 + self.mb_column = 3 + + self.chromosomes = [] + + self.read_file(filename) + + def __iter__(self): + return iter(self.chromosomes) + + def __getitem__(self, index): + return self.chromosomes[index] + + def __len__(self): + return len(self.chromosomes) + + def read_rdata_output(self, qtl_results): + #ZS: This is necessary because R/qtl requires centimorgan marker positions, which it normally gets from the .geno file, but that doesn't exist for HET3-ITP (which only has RData), so it needs to read in the marker cM positions from the results + self.chromosomes = [] #ZS: Overwriting since the .geno file's contents are just placeholders + + this_chr = "" #ZS: This is so it can track when the chromosome changes as it iterates through markers + chr_ob = None + for marker in qtl_results: + locus = Locus(self) + if (str(marker['chr']) != this_chr) and this_chr != "X": #ZS: This is really awkward but works as a temporary fix + if this_chr != "": + self.chromosomes.append(chr_ob) + this_chr = str(marker['chr']) + if this_chr == "20": + this_chr = "X" + chr_ob = Chr(this_chr, self) + if 'chr' in marker: + locus.chr = str(marker['chr']) + if 'name' in marker: + locus.name = marker['name'] + if 'Mb' in marker: + locus.Mb = marker['Mb'] + if 'cM' in marker: + locus.cM = marker['cM'] + chr_ob.loci.append(locus) + + self.chromosomes.append(chr_ob) + + return self + + def read_file(self, filename): + with open(filename, 'r') as geno_file: + lines = geno_file.readlines() + + this_chr = "" #ZS: This is so it can track when the chromosome changes as it iterates through markers + chr_ob = None + for line in lines: + if line[0] == "#": + continue + elif line[0] == "@": + label = line.split(":")[0][1:] + if label == "name": + self.group = line.split(":")[1].strip() + elif label == "filler": + if line.split(":")[1].strip() == "yes": + self.filler = True + elif label == "type": + self.type = line.split(":")[1].strip() + elif label == "mat": + self.mat = line.split(":")[1].strip() + elif label == "pat": + self.pat = line.split(":")[1].strip() + elif label == "het": + self.het = line.split(":")[1].strip() + elif label == "unk": + self.unk = line.split(":")[1].strip() + else: + continue + elif line[:3] == "Chr": + header_row = line.split("\t") + if header_row[2] == "Mb": + self.mb_exists = True + self.mb_column = 2 + self.cm_column = 3 + elif header_row[3] == "Mb": + self.mb_exists = True + self.mb_column = 3 + elif header_row[2] == "cM": + self.cm_column = 2 + + if self.mb_exists: + self.prgy = header_row[4:] + else: + self.prgy = header_row[3:] + self.nprgy = len(self.prgy) + else: + if line.split("\t")[0] != this_chr: + if this_chr != "": + self.chromosomes.append(chr_ob) + this_chr = line.split("\t")[0] + chr_ob = Chr(line.split("\t")[0], self) + chr_ob.add_marker(line.split("\t")) + + self.chromosomes.append(chr_ob) + +class Chr(object): + def __init__(self, name, geno_ob): + self.name = name + self.loci = [] + self.mb_exists = geno_ob.mb_exists + self.cm_column = geno_ob.cm_column + self.mb_column = geno_ob.mb_column + self.geno_ob = geno_ob + + def __iter__(self): + return iter(self.loci) + + def __getitem__(self, index): + return self.loci[index] + + def __len__(self): + return len(self.loci) + + def add_marker(self, marker_row): + self.loci.append(Locus(self.geno_ob, marker_row)) + +class Locus(object): + def __init__(self, geno_ob, marker_row = None): + self.chr = None + self.name = None + self.cM = None + self.Mb = None + self.genotype = [] + if marker_row: + self.chr = marker_row[0] + self.name = marker_row[1] + try: + self.cM = float(marker_row[geno_ob.cm_column]) + except: + self.cM = float(marker_row[geno_ob.mb_column]) if geno_ob.mb_exists else 0 + try: + self.Mb = float(marker_row[geno_ob.mb_column]) if geno_ob.mb_exists else None + except: + self.Mb = self.cM + + geno_table = { + geno_ob.mat: -1, + geno_ob.pat: 1, + geno_ob.het: 0, + geno_ob.unk: "U" + } + + self.genotype = [] + if geno_ob.mb_exists: + start_pos = 4 + else: + start_pos = 3 + + for allele in marker_row[start_pos:]: + if allele in geno_table.keys(): + self.genotype.append(geno_table[allele]) + else: #ZS: Some genotype appears that isn't specified in the metadata, make it unknown + self.genotype.append("U")
\ No newline at end of file diff --git a/wqflask/utility/helper_functions.py b/wqflask/utility/helper_functions.py index cf16879f..e7c04fef 100644 --- a/wqflask/utility/helper_functions.py +++ b/wqflask/utility/helper_functions.py @@ -4,7 +4,7 @@ from base.trait import GeneralTrait from base import data_set from base.species import TheSpecies -from wqflask import user_manager +from utility import hmac from flask import Flask, g @@ -14,7 +14,13 @@ logger = logging.getLogger(__name__ ) def get_species_dataset_trait(self, start_vars): #assert type(read_genotype) == type(bool()), "Expecting boolean value for read_genotype" - self.dataset = data_set.create_dataset(start_vars['dataset']) + if "temp_trait" in start_vars.keys(): + if start_vars['temp_trait'] == "True": + self.dataset = data_set.create_dataset(dataset_name = "Temp", dataset_type = "Temp", group_name = start_vars['group']) + else: + self.dataset = data_set.create_dataset(start_vars['dataset']) + else: + self.dataset = data_set.create_dataset(start_vars['dataset']) logger.debug("After creating dataset") self.species = TheSpecies(dataset=self.dataset) logger.debug("After creating species") @@ -35,11 +41,14 @@ def get_trait_db_obs(self, trait_db_list): self.trait_list = [] for trait in trait_db_list: - data, _separator, hmac = trait.rpartition(':') + data, _separator, hmac_string = trait.rpartition(':') data = data.strip() - assert hmac==user_manager.actual_hmac_creation(data), "Data tampering?" + assert hmac_string==hmac.hmac_creation(data), "Data tampering?" trait_name, dataset_name = data.split(":") - dataset_ob = data_set.create_dataset(dataset_name) + if dataset_name == "Temp": + dataset_ob = data_set.create_dataset(dataset_name=dataset_name, dataset_type="Temp", group_name=trait_name.split("_")[2]) + else: + dataset_ob = data_set.create_dataset(dataset_name) trait_ob = GeneralTrait(dataset=dataset_ob, name=trait_name, cellid=None) diff --git a/wqflask/utility/hmac.py b/wqflask/utility/hmac.py new file mode 100644 index 00000000..d8a0eace --- /dev/null +++ b/wqflask/utility/hmac.py @@ -0,0 +1,38 @@ +from __future__ import print_function, division, absolute_import + +import hmac +import hashlib + +from wqflask import app + +def hmac_creation(stringy): + """Helper function to create the actual hmac""" + + secret = app.config['SECRET_HMAC_CODE'] + + hmaced = hmac.new(secret, stringy, hashlib.sha1) + hm = hmaced.hexdigest() + # ZS: Leaving the below comment here to ask Pjotr about + # "Conventional wisdom is that you don't lose much in terms of security if you throw away up to half of the output." + # http://www.w3.org/QA/2009/07/hmac_truncation_in_xml_signatu.html + hm = hm[:20] + return hm + +def data_hmac(stringy): + """Takes arbitray data string and appends :hmac so we know data hasn't been tampered with""" + return stringy + ":" + hmac_creation(stringy) + +def url_for_hmac(endpoint, **values): + """Like url_for but adds an hmac at the end to insure the url hasn't been tampered with""" + + url = url_for(endpoint, **values) + + hm = hmac_creation(url) + if '?' in url: + combiner = "&" + else: + combiner = "?" + return url + combiner + "hm=" + hm + +app.jinja_env.globals.update(url_for_hmac=url_for_hmac, + data_hmac=data_hmac)
\ No newline at end of file diff --git a/wqflask/utility/redis_tools.py b/wqflask/utility/redis_tools.py new file mode 100644 index 00000000..0754e16f --- /dev/null +++ b/wqflask/utility/redis_tools.py @@ -0,0 +1,80 @@ +from __future__ import print_function, division, absolute_import + +import simplejson as json + +import redis # used for collections +Redis = redis.StrictRedis() + +import logging + +from flask import (render_template, flash) + +from utility.logger import getLogger +logger = getLogger(__name__) + +def is_redis_available(): + try: + Redis.ping() + except: + return False + return True + +def get_user_id(column_name, column_value): + user_list = Redis.hgetall("users") + for key in user_list: + user_ob = json.loads(user_list[key]) + if column_name in user_ob and user_ob[column_name] == column_value: + return key + + return None + +def get_user_by_unique_column(column_name, column_value): + item_details = None + + user_list = Redis.hgetall("users") + if column_name != "user_id": + for key in user_list: + user_ob = json.loads(user_list[key]) + if column_name in user_ob and user_ob[column_name] == column_value: + item_details = user_ob + else: + item_details = json.loads(user_list[column_value]) + + return item_details + +def set_user_attribute(user_id, column_name, column_value): + user_info = json.loads(Redis.hget("users", user_id)) + user_info[column_name] = column_value + + Redis.hset("users", user_id, json.dumps(user_info)) + +def get_user_collections(user_id): + collections = None + collections = Redis.hget("collections", user_id) + + if collections: + return json.loads(collections) + else: + return [] + +def save_user(user, user_id): + Redis.hset("users", user_id, json.dumps(user)) + +def save_collections(user_id, collections_ob): + Redis.hset("collections", user_id, collections_ob) + +def save_verification_code(user_email, code): + Redis.hset("verification_codes", code, user_email) + +def check_verification_code(code): + email_address = None + user_details = None + email_address = Redis.hget("verification_codes", code) + return email_address + + if email_address: + user_details = get_user_by_unique_column('email_address', email_address) + return user_details + else: + return None + flash("Invalid code: Password reset code does not exist or might have expired!", "error") diff --git a/wqflask/utility/startup_config.py b/wqflask/utility/startup_config.py index 5a62cc50..817284dd 100644 --- a/wqflask/utility/startup_config.py +++ b/wqflask/utility/startup_config.py @@ -33,7 +33,7 @@ def app_config(): if page.status_code != 200: raise Exception("API server not found!") - import utility.elasticsearch_tools as es - es.test_elasticsearch_connection() + # import utility.elasticsearch_tools as es + # es.test_elasticsearch_connection() print("GN2 is running. Visit %s[http://localhost:%s/%s](%s)" % (BLUE,str(port),ENDC,get_setting("WEBSERVER_URL"))) diff --git a/wqflask/utility/tools.py b/wqflask/utility/tools.py index f12b0d76..2914d354 100644 --- a/wqflask/utility/tools.py +++ b/wqflask/utility/tools.py @@ -107,8 +107,8 @@ def js_path(module=None): return try_guix raise "No JS path found for "+module+" (if not in Guix check JS_GN_PATH)" -def pylmm_command(guess=None): - return assert_bin(get_setting("PYLMM_COMMAND",guess)) +def reaper_command(guess=None): + return get_setting("REAPER_COMMAND",guess) def gemma_command(guess=None): return assert_bin(get_setting("GEMMA_COMMAND",guess)) @@ -235,7 +235,10 @@ GN_VERSION = get_setting('GN_VERSION') HOME = get_setting('HOME') SERVER_PORT = get_setting('SERVER_PORT') WEBSERVER_MODE = get_setting('WEBSERVER_MODE') +GN2_BASE_URL = get_setting('GN2_BASE_URL') +GN2_BRANCH_URL = get_setting('GN2_BRANCH_URL') GN_SERVER_URL = get_setting('GN_SERVER_URL') +SERVER_PORT = get_setting_int('SERVER_PORT') SQL_URI = get_setting('SQL_URI') LOG_LEVEL = get_setting('LOG_LEVEL') LOG_LEVEL_DEBUG = get_setting_int('LOG_LEVEL_DEBUG') @@ -254,7 +257,6 @@ JS_GN_PATH = get_setting('JS_GN_PATH') GITHUB_CLIENT_ID = get_setting('GITHUB_CLIENT_ID') GITHUB_CLIENT_SECRET = get_setting('GITHUB_CLIENT_SECRET') -GITHUB_AUTH_URL = None if GITHUB_CLIENT_ID != 'UNKNOWN' and GITHUB_CLIENT_SECRET: GITHUB_AUTH_URL = "https://github.com/login/oauth/authorize?client_id=" + \ GITHUB_CLIENT_ID+"&client_secret="+GITHUB_CLIENT_SECRET @@ -264,20 +266,20 @@ ORCID_CLIENT_ID = get_setting('ORCID_CLIENT_ID') ORCID_CLIENT_SECRET = get_setting('ORCID_CLIENT_SECRET') ORCID_AUTH_URL = None if ORCID_CLIENT_ID != 'UNKNOWN' and ORCID_CLIENT_SECRET: - ORCID_AUTH_URL = "https://sandbox.orcid.org/oauth/authorize?response_type=code&scope=/authenticate&show_login=true&client_id=" + \ + ORCID_AUTH_URL = "https://orcid.org/oauth/authorize?response_type=code&scope=/authenticate&show_login=true&client_id=" + \ ORCID_CLIENT_ID+"&client_secret="+ORCID_CLIENT_SECRET ORCID_TOKEN_URL = get_setting('ORCID_TOKEN_URL') -ELASTICSEARCH_HOST = get_setting('ELASTICSEARCH_HOST') -ELASTICSEARCH_PORT = get_setting('ELASTICSEARCH_PORT') -import utility.elasticsearch_tools as es -es.test_elasticsearch_connection() +# ELASTICSEARCH_HOST = get_setting('ELASTICSEARCH_HOST') +# ELASTICSEARCH_PORT = get_setting('ELASTICSEARCH_PORT') +# import utility.elasticsearch_tools as es +# es.test_elasticsearch_connection() SMTP_CONNECT = get_setting('SMTP_CONNECT') SMTP_USERNAME = get_setting('SMTP_USERNAME') SMTP_PASSWORD = get_setting('SMTP_PASSWORD') -PYLMM_COMMAND = app_set("PYLMM_COMMAND",pylmm_command()) +REAPER_COMMAND = app_set("REAPER_COMMAND",reaper_command()) GEMMA_COMMAND = app_set("GEMMA_COMMAND",gemma_command()) assert(GEMMA_COMMAND is not None) PLINK_COMMAND = app_set("PLINK_COMMAND",plink_command()) @@ -289,11 +291,14 @@ assert_dir(TEMPDIR) JS_GUIX_PATH = get_setting("JS_GUIX_PATH") assert_dir(JS_GUIX_PATH) assert_dir(JS_GUIX_PATH+'/cytoscape-panzoom') + CSS_PATH = "UNKNOWN" # assert_dir(JS_PATH) -JS_TWITTER_POST_FETCHER_PATH = get_setting("JS_TWITTER_POST_FETCHER_PATH",js_path("Twitter-Post-Fetcher")) + +JS_TWITTER_POST_FETCHER_PATH = get_setting("JS_TWITTER_POST_FETCHER_PATH",js_path("javascript-twitter-post-fetcher")) assert_dir(JS_TWITTER_POST_FETCHER_PATH) assert_file(JS_TWITTER_POST_FETCHER_PATH+"/js/twitterFetcher_min.js") + JS_CYTOSCAPE_PATH = get_setting("JS_CYTOSCAPE_PATH",js_path("cytoscape")) assert_dir(JS_CYTOSCAPE_PATH) assert_file(JS_CYTOSCAPE_PATH+'/cytoscape.min.js') diff --git a/wqflask/utility/type_checking.py b/wqflask/utility/type_checking.py index 220e5f62..f15b17e2 100644 --- a/wqflask/utility/type_checking.py +++ b/wqflask/utility/type_checking.py @@ -27,7 +27,7 @@ def get_float(vars,name,default=None): if name in vars: if is_float(vars[name]): return float(vars[name]) - return None + return default def get_int(vars,name,default=None): if name in vars: diff --git a/wqflask/utility/webqtlUtil.py b/wqflask/utility/webqtlUtil.py index 83fa90b7..53661ae4 100644 --- a/wqflask/utility/webqtlUtil.py +++ b/wqflask/utility/webqtlUtil.py @@ -30,8 +30,6 @@ import re import math from math import * -from htmlgen import HTMLgen2 as HT - from base import webqtlConfig # NL, 07/27/2010. moved from webqtlForm.py @@ -54,11 +52,12 @@ ParInfo ={ 'AXB':['ABF1', 'BAF1', 'C57BL/6J', 'A/J'], 'BXA':['BAF1', 'ABF1', 'C57BL/6J', 'A/J'], 'LXS':['LSF1', 'SLF1', 'ISS', 'ILS'], -'HXBBXH':['HSRBNF1', 'BNHSRF1', 'BN', 'HSR'], +'HXBBXH':['SHR_BNF1', 'BN_SHRF1', 'BN-Lx/Cub', 'SHR/OlaIpcv'], 'BayXSha':['BayXShaF1', 'ShaXBayF1', 'Bay-0','Shahdara'], 'ColXBur':['ColXBurF1', 'BurXColF1', 'Col-0','Bur-0'], 'ColXCvi':['ColXCviF1', 'CviXColF1', 'Col-0','Cvi'], -'SXM':['SMF1', 'MSF1', 'Steptoe','Morex'] +'SXM':['SMF1', 'MSF1', 'Steptoe','Morex'], +'HRDP':['SHR_BNF1', 'BN_SHRF1', 'BN-Lx/Cub', 'SHR/OlaIpcv'] } ######################################### diff --git a/wqflask/wqflask/__init__.py b/wqflask/wqflask/__init__.py index bc8e9900..399e794d 100644 --- a/wqflask/wqflask/__init__.py +++ b/wqflask/wqflask/__init__.py @@ -22,3 +22,4 @@ app.jinja_env.globals.update( ) import wqflask.views +from wqflask.api import router
\ No newline at end of file diff --git a/wqflask/wqflask/api/__init__.py b/wqflask/wqflask/api/__init__.py new file mode 100644 index 00000000..e69de29b --- /dev/null +++ b/wqflask/wqflask/api/__init__.py diff --git a/wqflask/wqflask/api/correlation.py b/wqflask/wqflask/api/correlation.py new file mode 100644 index 00000000..66eb94ac --- /dev/null +++ b/wqflask/wqflask/api/correlation.py @@ -0,0 +1,237 @@ +from __future__ import absolute_import, division, print_function
+
+import collections
+
+import scipy
+
+from MySQLdb import escape_string as escape
+
+from flask import g
+
+from base import data_set
+from base.trait import GeneralTrait, retrieve_sample_data
+
+from wqflask.correlation.show_corr_results import generate_corr_json
+from wqflask.correlation import correlation_functions
+
+from utility import webqtlUtil, helper_functions, corr_result_helpers
+from utility.benchmark import Bench
+
+import utility.logger
+logger = utility.logger.getLogger(__name__ )
+
+def do_correlation(start_vars):
+ assert('db' in start_vars)
+ assert('target_db' in start_vars)
+ assert('trait_id' in start_vars)
+
+ this_dataset = data_set.create_dataset(dataset_name = start_vars['db'])
+ target_dataset = data_set.create_dataset(dataset_name = start_vars['target_db'])
+ this_trait = GeneralTrait(dataset = this_dataset, name = start_vars['trait_id'])
+ this_trait = retrieve_sample_data(this_trait, this_dataset)
+
+ corr_params = init_corr_params(start_vars)
+
+ corr_results = calculate_results(this_trait, this_dataset, target_dataset, corr_params)
+ #corr_results = collections.OrderedDict(sorted(corr_results.items(), key=lambda t: -abs(t[1][0])))
+
+ final_results = []
+ for _trait_counter, trait in enumerate(corr_results.keys()[:corr_params['return_count']]):
+ if corr_params['type'] == "tissue":
+ [sample_r, num_overlap, sample_p, symbol] = corr_results[trait]
+ result_dict = {
+ "trait" : trait,
+ "sample_r" : sample_r,
+ "#_strains" : num_overlap,
+ "p_value" : sample_p,
+ "symbol" : symbol
+ }
+ elif corr_params['type'] == "literature" or corr_params['type'] == "lit":
+ [gene_id, sample_r] = corr_results[trait]
+ result_dict = {
+ "trait" : trait,
+ "sample_r" : sample_r,
+ "gene_id" : gene_id
+ }
+ else:
+ [sample_r, sample_p, num_overlap] = corr_results[trait]
+ result_dict = {
+ "trait" : trait,
+ "sample_r" : sample_r,
+ "#_strains" : num_overlap,
+ "p_value" : sample_p
+ }
+
+ final_results.append(result_dict)
+
+ # json_corr_results = generate_corr_json(final_corr_results, this_trait, this_dataset, target_dataset, for_api = True)
+
+ return final_results
+
+def calculate_results(this_trait, this_dataset, target_dataset, corr_params):
+ corr_results = {}
+
+ target_dataset.get_trait_data()
+
+ if corr_params['type'] == "tissue":
+ trait_symbol_dict = this_dataset.retrieve_genes("Symbol")
+ corr_results = do_tissue_correlation_for_all_traits(this_trait, trait_symbol_dict, corr_params)
+ sorted_results = collections.OrderedDict(sorted(corr_results.items(),
+ key=lambda t: -abs(t[1][1])))
+ elif corr_params['type'] == "literature" or corr_params['type'] == "lit": #ZS: Just so a user can use either "lit" or "literature"
+ trait_geneid_dict = this_dataset.retrieve_genes("GeneId")
+ corr_results = do_literature_correlation_for_all_traits(this_trait, this_dataset, trait_geneid_dict, corr_params)
+ sorted_results = collections.OrderedDict(sorted(corr_results.items(),
+ key=lambda t: -abs(t[1][1])))
+ else:
+ for target_trait, target_vals in target_dataset.trait_data.iteritems():
+ result = get_sample_r_and_p_values(this_trait, this_dataset, target_vals, target_dataset, corr_params['type'])
+ if result is not None:
+ corr_results[target_trait] = result
+
+ sorted_results = collections.OrderedDict(sorted(corr_results.items(), key=lambda t: -abs(t[1][0])))
+
+ return sorted_results
+
+def do_tissue_correlation_for_all_traits(this_trait, trait_symbol_dict, corr_params, tissue_dataset_id=1):
+ #Gets tissue expression values for the primary trait
+ primary_trait_tissue_vals_dict = correlation_functions.get_trait_symbol_and_tissue_values(symbol_list = [this_trait.symbol])
+
+ if this_trait.symbol.lower() in primary_trait_tissue_vals_dict:
+ primary_trait_tissue_values = primary_trait_tissue_vals_dict[this_trait.symbol.lower()]
+
+ corr_result_tissue_vals_dict = correlation_functions.get_trait_symbol_and_tissue_values(symbol_list=trait_symbol_dict.values())
+
+ tissue_corr_data = {}
+ for trait, symbol in trait_symbol_dict.iteritems():
+ if symbol and symbol.lower() in corr_result_tissue_vals_dict:
+ this_trait_tissue_values = corr_result_tissue_vals_dict[symbol.lower()]
+
+ result = correlation_functions.cal_zero_order_corr_for_tiss(primary_trait_tissue_values,
+ this_trait_tissue_values,
+ corr_params['method'])
+
+ tissue_corr_data[trait] = [result[0], result[1], result[2], symbol]
+
+ return tissue_corr_data
+
+def do_literature_correlation_for_all_traits(this_trait, target_dataset, trait_geneid_dict, corr_params):
+ input_trait_mouse_gene_id = convert_to_mouse_gene_id(target_dataset.group.species.lower(), this_trait.geneid)
+
+ lit_corr_data = {}
+ for trait, gene_id in trait_geneid_dict.iteritems():
+ mouse_gene_id = convert_to_mouse_gene_id(target_dataset.group.species.lower(), gene_id)
+
+ if mouse_gene_id and str(mouse_gene_id).find(";") == -1:
+ result = g.db.execute(
+ """SELECT value
+ FROM LCorrRamin3
+ WHERE GeneId1='%s' and
+ GeneId2='%s'
+ """ % (escape(mouse_gene_id), escape(input_trait_mouse_gene_id))
+ ).fetchone()
+ if not result:
+ result = g.db.execute("""SELECT value
+ FROM LCorrRamin3
+ WHERE GeneId2='%s' and
+ GeneId1='%s'
+ """ % (escape(mouse_gene_id), escape(input_trait_mouse_gene_id))
+ ).fetchone()
+ if result:
+ lit_corr = result.value
+ lit_corr_data[trait] = [gene_id, lit_corr]
+ else:
+ lit_corr_data[trait] = [gene_id, 0]
+ else:
+ lit_corr_data[trait] = [gene_id, 0]
+
+ return lit_corr_data
+
+def get_sample_r_and_p_values(this_trait, this_dataset, target_vals, target_dataset, type):
+ """
+ Calculates the sample r (or rho) and p-value
+
+ Given a primary trait and a target trait's sample values,
+ calculates either the pearson r or spearman rho and the p-value
+ using the corresponding scipy functions.
+ """
+
+ this_trait_vals = []
+ shared_target_vals = []
+ for i, sample in enumerate(target_dataset.group.samplelist):
+ if sample in this_trait.data:
+ this_sample_value = this_trait.data[sample].value
+ target_sample_value = target_vals[i]
+ this_trait_vals.append(this_sample_value)
+ shared_target_vals.append(target_sample_value)
+
+ this_trait_vals, shared_target_vals, num_overlap = corr_result_helpers.normalize_values(this_trait_vals, shared_target_vals)
+
+ if type == 'pearson':
+ sample_r, sample_p = scipy.stats.pearsonr(this_trait_vals, shared_target_vals)
+ else:
+ sample_r, sample_p = scipy.stats.spearmanr(this_trait_vals, shared_target_vals)
+
+ if num_overlap > 5:
+ if scipy.isnan(sample_r):
+ return None
+ else:
+ return [sample_r, sample_p, num_overlap]
+
+def convert_to_mouse_gene_id(species=None, gene_id=None):
+ """If the species is rat or human, translate the gene_id to the mouse geneid
+
+ If there is no input gene_id or there's no corresponding mouse gene_id, return None
+
+ """
+ if not gene_id:
+ return None
+
+ mouse_gene_id = None
+
+ if species == 'mouse':
+ mouse_gene_id = gene_id
+
+ elif species == 'rat':
+
+ query = """SELECT mouse
+ FROM GeneIDXRef
+ WHERE rat='%s'""" % escape(gene_id)
+
+ result = g.db.execute(query).fetchone()
+ if result != None:
+ mouse_gene_id = result.mouse
+
+ elif species == 'human':
+
+ query = """SELECT mouse
+ FROM GeneIDXRef
+ WHERE human='%s'""" % escape(gene_id)
+
+ result = g.db.execute(query).fetchone()
+ if result != None:
+ mouse_gene_id = result.mouse
+
+ return mouse_gene_id
+
+def init_corr_params(start_vars):
+ method = "pearson"
+ if 'method' in start_vars:
+ method = start_vars['method']
+
+ type = "sample"
+ if 'type' in start_vars:
+ type = start_vars['type']
+
+ return_count = 500
+ if 'return_count' in start_vars:
+ assert(start_vars['return_count'].isdigit())
+ return_count = int(start_vars['return_count'])
+
+ corr_params = {
+ 'method' : method,
+ 'type' : type,
+ 'return_count' : return_count
+ }
+
+ return corr_params
\ No newline at end of file diff --git a/wqflask/wqflask/api/gen_menu.py b/wqflask/wqflask/api/gen_menu.py new file mode 100644 index 00000000..adf66fb5 --- /dev/null +++ b/wqflask/wqflask/api/gen_menu.py @@ -0,0 +1,246 @@ +from __future__ import print_function, division + +import sys +import json + +from flask import g + +from utility.tools import locate, locate_ignore_error, TEMPDIR, SQL_URI +from utility.benchmark import Bench + +import MySQLdb + +import urlparse + +import utility.logger +logger = utility.logger.getLogger(__name__ ) + +def gen_dropdown_json(): + """Generates and outputs (as json file) the data for the main dropdown menus on the home page""" + + species = get_species() + groups = get_groups(species) + types = get_types(groups) + datasets = get_datasets(types) + + #species.append(('All Species', 'All Species')) + #groups['All Species'] = [('All Groups', 'All Groups')] + #types['All Species'] = {} + #types['All Species']['All Groups'] = [('Phenotypes', 'Phenotypes')] + #datasets['All Species'] = {} + #datasets['All Species']['All Groups'] = {} + #datasets['All Species']['All Groups']['Phenotypes'] = [('All Phenotypes','All Phenotypes')] + + data = dict(species=species, + groups=groups, + types=types, + datasets=datasets) + + return data + +def get_species(): + """Build species list""" + results = g.db.execute("""SELECT Name, MenuName + FROM Species + ORDER BY OrderId""").fetchall() + + species = [] + for result in results: + species.append([str(result[0]), str(result[1])]) + + return species + +def get_groups(species): + """Build groups list""" + groups = {} + for species_name, _species_full_name in species: + groups[species_name] = [] + # results = g.db.execute("""SELECT InbredSet.Name, InbredSet.FullName + # FROM InbredSet, Species, ProbeFreeze, GenoFreeze, PublishFreeze + # WHERE Species.Name = '{}' AND + # InbredSet.SpeciesId = Species.Id AND + # (PublishFreeze.InbredSetId = InbredSet.Id OR + # GenoFreeze.InbredSetId = InbredSet.Id OR + # ProbeFreeze.InbredSetId = InbredSet.Id) + # GROUP by InbredSet.Name + # ORDER BY InbredSet.FullName""".format(species_name)).fetchall() + + results = g.db.execute("""SELECT InbredSet.Name, InbredSet.FullName, IFNULL(InbredSet.Family, 'None') + FROM InbredSet, Species + WHERE Species.Name = '{}' AND + InbredSet.SpeciesId = Species.Id + GROUP by InbredSet.Name + ORDER BY IFNULL(InbredSet.FamilyOrder, InbredSet.FullName) ASC, IFNULL(InbredSet.Family, InbredSet.FullName) ASC, InbredSet.FullName ASC, InbredSet.MenuOrderId ASC""".format(species_name)).fetchall() + + for result in results: + family_name = "Family:" + str(result[2]) + groups[species_name].append([str(result[0]), str(result[1]), family_name]) + + return groups + +def get_types(groups): + """Build types list""" + types = {} + + for species, group_dict in groups.iteritems(): + types[species] = {} + for group_name, _group_full_name, _family_name in group_dict: + if phenotypes_exist(group_name): + types[species][group_name] = [("Phenotypes", "Phenotypes")] + if genotypes_exist(group_name): + if group_name in types[species]: + types[species][group_name] += [("Genotypes", "Genotypes")] + else: + types[species][group_name] = [("Genotypes", "Genotypes")] + if group_name in types[species]: + types_list = build_types(species, group_name) + if len(types_list) > 0: + types[species][group_name] += types_list + else: + if not phenotypes_exist(group_name) and not genotypes_exist(group_name): + types[species].pop(group_name, None) + groups[species] = list(group for group in groups[species] if group[0] != group_name) + else: #ZS: This whole else statement might be unnecessary, need to check + types_list = build_types(species, group_name) + if len(types_list) > 0: + types[species][group_name] = types_list + else: + types[species].pop(group_name, None) + groups[species] = list(group for group in groups[species] if group[0] != group_name) + return types + +def phenotypes_exist(group_name): + results = g.db.execute("""SELECT Name + FROM PublishFreeze + WHERE PublishFreeze.Name = '{}'""".format(group_name+"Publish")).fetchone() + + if results != None: + return True + else: + return False + +def genotypes_exist(group_name): + results = g.db.execute("""SELECT Name + FROM GenoFreeze + WHERE GenoFreeze.Name = '{}'""".format(group_name+"Geno")).fetchone() + + if results != None: + return True + else: + return False + +def build_types(species, group): + """Fetches tissues + + Gets the tissues with data for this species/group + (all types except phenotype/genotype are tissues) + + """ + + query = """SELECT DISTINCT Tissue.Name + FROM ProbeFreeze, ProbeSetFreeze, InbredSet, Tissue, Species + WHERE Species.Name = '{0}' AND + Species.Id = InbredSet.SpeciesId AND + InbredSet.Name = '{1}' AND + ProbeFreeze.TissueId = Tissue.Id AND + ProbeFreeze.InbredSetId = InbredSet.Id AND + ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id AND + ProbeSetFreeze.public > 0 AND + ProbeSetFreeze.confidentiality < 1 + ORDER BY Tissue.Name""".format(species, group) + + results = [] + for result in g.db.execute(query).fetchall(): + if len(result): + these_datasets = build_datasets(species, group, result[0]) + if len(these_datasets) > 0: + results.append([str(result[0]), str(result[0])]) + + return results + +def get_datasets(types): + """Build datasets list""" + datasets = {} + for species, group_dict in types.iteritems(): + datasets[species] = {} + for group, type_list in group_dict.iteritems(): + datasets[species][group] = {} + for type_name in type_list: + these_datasets = build_datasets(species, group, type_name[0]) + if len(these_datasets) > 0: + datasets[species][group][type_name[0]] = these_datasets + + return datasets + + +def build_datasets(species, group, type_name): + """Gets dataset names from database""" + dataset_text = dataset_value = None + datasets = [] + if type_name == "Phenotypes": + results = g.db.execute("""SELECT InfoFiles.GN_AccesionId, PublishFreeze.Name, PublishFreeze.FullName + FROM InfoFiles, PublishFreeze, InbredSet + WHERE InbredSet.Name = '{}' AND + PublishFreeze.InbredSetId = InbredSet.Id AND + InfoFiles.InfoPageName = PublishFreeze.Name + ORDER BY PublishFreeze.CreateTime ASC""".format(group)).fetchall() + + if len(results) > 0: + for result in results: + dataset_id = str(result[0]) + dataset_value = str(result[1]) + if group == 'MDP': + dataset_text = "Mouse Phenome Database" + else: + #dataset_text = "%s Phenotypes" % group + dataset_text = str(result[2]) + datasets.append([dataset_id, dataset_value, dataset_text]) + else: + result = g.db.execute("""SELECT PublishFreeze.Name, PublishFreeze.FullName + FROM PublishFreeze, InbredSet + WHERE InbredSet.Name = '{}' AND + PublishFreeze.InbredSetId = InbredSet.Id + ORDER BY PublishFreeze.CreateTime ASC""".format(group)).fetchone() + + dataset_id = "None" + dataset_value = str(result[0]) + dataset_text = str(result[1]) + datasets.append([dataset_id, dataset_value, dataset_text]) + + elif type_name == "Genotypes": + results = g.db.execute("""SELECT InfoFiles.GN_AccesionId + FROM InfoFiles, GenoFreeze, InbredSet + WHERE InbredSet.Name = '{}' AND + GenoFreeze.InbredSetId = InbredSet.Id AND + InfoFiles.InfoPageName = GenoFreeze.ShortName AND + GenoFreeze.public > 0 AND + GenoFreeze.confidentiality < 1 + ORDER BY GenoFreeze.CreateTime DESC""".format(group)).fetchone() + + if results != None: + dataset_id = str(results[0]) + else: + dataset_id = "None" + dataset_value = "%sGeno" % group + dataset_text = "%s Genotypes" % group + datasets.append([dataset_id, dataset_value, dataset_text]) + + else: # for mRNA expression/ProbeSet + results = g.db.execute("""SELECT ProbeSetFreeze.Id, ProbeSetFreeze.Name, ProbeSetFreeze.FullName + FROM ProbeSetFreeze, ProbeFreeze, InbredSet, Tissue, Species + WHERE Species.Name = '{0}' AND + Species.Id = InbredSet.SpeciesId AND + InbredSet.Name = '{1}' AND + ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and Tissue.Name = '{2}' AND + ProbeFreeze.TissueId = Tissue.Id and ProbeFreeze.InbredSetId = InbredSet.Id AND + ProbeSetFreeze.confidentiality < 1 and ProbeSetFreeze.public > 0 + ORDER BY ProbeSetFreeze.CreateTime DESC""".format(species, group, type_name)).fetchall() + + datasets = [] + for dataset_info in results: + this_dataset_info = [] + for info in dataset_info: + this_dataset_info.append(str(info)) + datasets.append(this_dataset_info) + + return datasets
\ No newline at end of file diff --git a/wqflask/wqflask/api/mapping.py b/wqflask/wqflask/api/mapping.py new file mode 100644 index 00000000..d830cefc --- /dev/null +++ b/wqflask/wqflask/api/mapping.py @@ -0,0 +1,141 @@ +from __future__ import absolute_import, division, print_function + +import string + +from base import data_set +from base import webqtlConfig +from base.trait import GeneralTrait, retrieve_sample_data + +from utility import helper_functions +from wqflask.marker_regression import gemma_mapping, rqtl_mapping, qtlreaper_mapping, plink_mapping + +import utility.logger +logger = utility.logger.getLogger(__name__ ) + +def do_mapping_for_api(start_vars): + assert('db' in start_vars) + assert('trait_id' in start_vars) + + dataset = data_set.create_dataset(dataset_name = start_vars['db']) + dataset.group.get_markers() + this_trait = GeneralTrait(dataset = dataset, name = start_vars['trait_id']) + this_trait = retrieve_sample_data(this_trait, dataset) + + samples = [] + vals = [] + + for sample in dataset.group.samplelist: + in_trait_data = False + for item in this_trait.data: + if this_trait.data[item].name == sample: + value = str(this_trait.data[item].value) + samples.append(item) + vals.append(value) + in_trait_data = True + break + if not in_trait_data: + vals.append("x") + + mapping_params = initialize_parameters(start_vars, dataset, this_trait) + + covariates = "" #ZS: It seems to take an empty string as default. This should probably be changed. + + if mapping_params['mapping_method'] == "gemma": + header_row = ["name", "chr", "Mb", "lod_score", "p_value"] + if mapping_params['use_loco'] == "True": #ZS: gemma_mapping returns both results and the filename for LOCO, so need to only grab the former for api + result_markers = gemma_mapping.run_gemma(this_trait, dataset, samples, vals, covariates, mapping_params['use_loco'], mapping_params['maf'])[0] + else: + result_markers = gemma_mapping.run_gemma(this_trait, dataset, samples, vals, covariates, mapping_params['use_loco'], mapping_params['maf']) + elif mapping_params['mapping_method'] == "rqtl": + header_row = ["name", "chr", "cM", "lod_score"] + if mapping_params['num_perm'] > 0: + _sperm_output, _suggestive, _significant, result_markers = rqtl_mapping.run_rqtl_geno(vals, dataset, mapping_params['rqtl_method'], mapping_params['rqtl_model'], + mapping_params['perm_check'], mapping_params['num_perm'], + mapping_params['do_control'], mapping_params['control_marker'], + mapping_params['manhattan_plot'], mapping_params['pair_scan']) + else: + result_markers = rqtl_mapping.run_rqtl_geno(vals, dataset, mapping_params['rqtl_method'], mapping_params['rqtl_model'], + mapping_params['perm_check'], mapping_params['num_perm'], + mapping_params['do_control'], mapping_params['control_marker'], + mapping_params['manhattan_plot'], mapping_params['pair_scan']) + + if mapping_params['limit_to']: + result_markers = result_markers[:mapping_params['limit_to']] + + if mapping_params['format'] == "csv": + output_rows = [] + output_rows.append(header_row) + for marker in result_markers: + this_row = [marker[header] for header in header_row] + output_rows.append(this_row) + + return output_rows, mapping_params['format'] + elif mapping_params['format'] == "json": + return result_markers, mapping_params['format'] + else: + return result_markers, None + + + +def initialize_parameters(start_vars, dataset, this_trait): + mapping_params = {} + + mapping_params['format'] = "json" + if 'format' in start_vars: + mapping_params['format'] = start_vars['format'] + + mapping_params['limit_to'] = False + if 'limit_to' in start_vars: + if start_vars['limit_to'].isdigit(): + mapping_params['limit_to'] = int(start_vars['limit_to']) + + mapping_params['mapping_method'] = "gemma" + if 'method' in start_vars: + mapping_params['mapping_method'] = start_vars['method'] + + if mapping_params['mapping_method'] == "rqtl": + mapping_params['rqtl_method'] = "hk" + mapping_params['rqtl_model'] = "normal" + mapping_params['do_control'] = False + mapping_params['control_marker'] = "" + mapping_params['manhattan_plot'] = True + mapping_params['pair_scan'] = False + if 'rqtl_method' in start_vars: + mapping_params['rqtl_method'] = start_vars['rqtl_method'] + if 'rqtl_model' in start_vars: + mapping_params['rqtl_model'] = start_vars['rqtl_model'] + if 'control_marker' in start_vars: + mapping_params['control_marker'] = start_vars['control_marker'] + mapping_params['do_control'] = True + if 'pair_scan' in start_vars: + if start_vars['pair_scan'].lower() == "true": + mapping_params['pair_scan'] = True + + if 'interval_mapping' in start_vars: + if start_vars['interval_mapping'].lower() == "true": + mapping_params['manhattan_plot'] = False + elif 'manhattan_plot' in start_vars: + if start_vars['manhattan_plot'].lower() != "true": + mapping_params['manhattan_plot'] = False + + mapping_params['maf'] = 0.01 + if 'maf' in start_vars: + mapping_params['maf'] = start_vars['maf'] # Minor allele frequency + + mapping_params['use_loco'] = True + if 'use_loco' in start_vars: + if (start_vars['use_loco'].lower() == "false") or (start_vars['use_loco'].lower() == "no"): + mapping_params['use_loco'] = False + + mapping_params['num_perm'] = 0 + mapping_params['perm_check'] = False + if 'num_perm' in start_vars: + try: + mapping_params['num_perm'] = int(start_vars['num_perm']) + mapping_params['perm_check'] = "ON" + except: + mapping_params['perm_check'] = False + + return mapping_params + + diff --git a/wqflask/wqflask/api/router.py b/wqflask/wqflask/api/router.py new file mode 100644 index 00000000..6324cabe --- /dev/null +++ b/wqflask/wqflask/api/router.py @@ -0,0 +1,969 @@ +# GN2 API + +from __future__ import absolute_import, division, print_function + +import os, io, csv, json, datetime, requests, yaml +import zlib +from zipfile import ZipFile, ZIP_DEFLATED + +import StringIO + +import flask +from flask import g, Response, request, make_response, render_template, send_from_directory, jsonify, redirect, send_file +import sqlalchemy +from wqflask import app + +from wqflask.api import correlation, mapping, gen_menu + +from utility.tools import flat_files + +import utility.logger +logger = utility.logger.getLogger(__name__ ) + +version = "pre1" + +@app.route("/api/v_{}/".format(version)) +def hello_world(): + return flask.jsonify({"hello":"world"}) + +@app.route("/api/v_{}/species".format(version)) +def get_species_list(): + results = g.db.execute("SELECT SpeciesId, Name, FullName, TaxonomyId FROM Species;") + the_species = results.fetchall() + species_list = [] + for species in the_species: + species_dict = { + "Id" : species[0], + "Name" : species[1], + "FullName" : species[2], + "TaxonomyId" : species[3] + } + species_list.append(species_dict) + + return flask.jsonify(species_list) + +@app.route("/api/v_{}/species/<path:species_name>".format(version)) +@app.route("/api/v_{}/species/<path:species_name>.<path:file_format>".format(version)) +def get_species_info(species_name, file_format = "json"): + results = g.db.execute("""SELECT SpeciesId, Name, FullName, TaxonomyId + FROM Species + WHERE (Name="{0}" OR FullName="{0}" OR SpeciesName="{0}");""".format(species_name)) + + the_species = results.fetchone() + species_dict = { + "Id" : the_species[0], + "Name" : the_species[1], + "FullName" : the_species[2], + "TaxonomyId" : the_species[3] + } + + return flask.jsonify(species_dict) + +@app.route("/api/v_{}/groups".format(version)) +@app.route("/api/v_{}/groups/<path:species_name>".format(version)) +def get_groups_list(species_name=None): + if species_name: + results = g.db.execute("""SELECT InbredSet.InbredSetId, InbredSet.SpeciesId, InbredSet.InbredSetName, + InbredSet.Name, InbredSet.FullName, InbredSet.public, + IFNULL(InbredSet.MappingMethodId, "None"), IFNULL(InbredSet.GeneticType, "None") + FROM InbredSet, Species + WHERE InbredSet.SpeciesId = Species.Id AND + (Species.Name = "{0}" OR + Species.FullName="{0}" OR + Species.SpeciesName="{0}");""".format(species_name)) + else: + results = g.db.execute("""SELECT InbredSet.InbredSetId, InbredSet.SpeciesId, InbredSet.InbredSetName, + InbredSet.Name, InbredSet.FullName, InbredSet.public, + IFNULL(InbredSet.MappingMethodId, "None"), IFNULL(InbredSet.GeneticType, "None") + FROM InbredSet;""") + + the_groups = results.fetchall() + if the_groups: + groups_list = [] + for group in the_groups: + group_dict = { + "Id" : group[0], + "SpeciesId" : group[1], + "DisplayName" : group[2], + "Name" : group[3], + "FullName" : group[4], + "public" : group[5], + "MappingMethodId" : group[6], + "GeneticType" : group[7] + } + groups_list.append(group_dict) + + return flask.jsonify(groups_list) + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + +@app.route("/api/v_{}/group/<path:group_name>".format(version)) +@app.route("/api/v_{}/group/<path:group_name>.<path:file_format>".format(version)) +@app.route("/api/v_{}/group/<path:species_name>/<path:group_name>".format(version)) +@app.route("/api/v_{}/group/<path:species_name>/<path:group_name>.<path:file_format>".format(version)) +def get_group_info(group_name, species_name = None, file_format = "json"): + if species_name: + results = g.db.execute("""SELECT InbredSet.InbredSetId, InbredSet.SpeciesId, InbredSet.InbredSetName, + InbredSet.Name, InbredSet.FullName, InbredSet.public, + IFNULL(InbredSet.MappingMethodId, "None"), IFNULL(InbredSet.GeneticType, "None") + FROM InbredSet, Species + WHERE InbredSet.SpeciesId = Species.Id AND + (InbredSet.InbredSetName = "{0}" OR + InbredSet.Name = "{0}" OR + InbredSet.FullName = "{0}") AND + (Species.Name = "{1}" OR + Species.FullName="{1}" OR + Species.SpeciesName="{1}");""".format(group_name, species_name)) + else: + results = g.db.execute("""SELECT InbredSet.InbredSetId, InbredSet.SpeciesId, InbredSet.InbredSetName, + InbredSet.Name, InbredSet.FullName, InbredSet.public, + IFNULL(InbredSet.MappingMethodId, "None"), IFNULL(InbredSet.GeneticType, "None") + FROM InbredSet + WHERE (InbredSet.InbredSetName = "{0}" OR + InbredSet.Name = "{0}" OR + InbredSet.FullName = "{0}");""".format(group_name)) + + group = results.fetchone() + if group: + group_dict = { + "Id" : group[0], + "SpeciesId" : group[1], + "DisplayName" : group[2], + "Name" : group[3], + "FullName" : group[4], + "public" : group[5], + "MappingMethodId" : group[6], + "GeneticType" : group[7] + } + + return flask.jsonify(group_dict) + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + +@app.route("/api/v_{}/datasets/<path:group_name>".format(version)) +@app.route("/api/v_{}/datasets/<path:species_name>/<path:group_name>".format(version)) +def get_datasets_for_group(group_name, species_name=None): + if species_name: + results = g.db.execute(""" + SELECT ProbeSetFreeze.Id, ProbeSetFreeze.ProbeFreezeId, ProbeSetFreeze.AvgID, + ProbeSetFreeze.Name, ProbeSetFreeze.Name2, ProbeSetFreeze.FullName, + ProbeSetFreeze.ShortName, ProbeSetFreeze.CreateTime, ProbeSetFreeze.public, + ProbeSetFreeze.confidentiality, ProbeSetFreeze.DataScale + FROM ProbeSetFreeze, ProbeFreeze, InbredSet, Species + WHERE ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id AND + ProbeFreeze.InbredSetId = InbredSet.Id AND + (InbredSet.Name = "{0}" OR InbredSet.InbredSetName = "{0}" OR InbredSet.FullName = "{0}") AND + InbredSet.SpeciesId = Species.Id AND + (Species.SpeciesName = "{1}" OR Species.MenuName = "{1}" OR Species.FullName = "{1}"); + """.format(group_name, species_name)) + else: + results = g.db.execute(""" + SELECT ProbeSetFreeze.Id, ProbeSetFreeze.ProbeFreezeId, ProbeSetFreeze.AvgID, + ProbeSetFreeze.Name, ProbeSetFreeze.Name2, ProbeSetFreeze.FullName, + ProbeSetFreeze.ShortName, ProbeSetFreeze.CreateTime, ProbeSetFreeze.public, + ProbeSetFreeze.confidentiality, ProbeSetFreeze.DataScale + FROM ProbeSetFreeze, ProbeFreeze, InbredSet + WHERE ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id AND + ProbeFreeze.InbredSetId = InbredSet.Id AND + (InbredSet.Name = "{0}" OR InbredSet.InbredSetName = "{0}" OR InbredSet.FullName = "{0}"); + """.format(group_name)) + + the_datasets = results.fetchall() + + if the_datasets: + datasets_list = [] + for dataset in the_datasets: + dataset_dict = { + "Id" : dataset[0], + "ProbeFreezeId" : dataset[1], + "AvgID" : dataset[2], + "Short_Abbreviation" : dataset[3], + "Long_Abbreviation" : dataset[4], + "FullName" : dataset[5], + "ShortName" : dataset[6], + "CreateTime" : dataset[7], + "public" : dataset[8], + "confidentiality" : dataset[9], + "DataScale" : dataset[10] + } + datasets_list.append(dataset_dict) + + return flask.jsonify(datasets_list) + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + +@app.route("/api/v_{}/dataset/<path:dataset_name>".format(version)) +@app.route("/api/v_{}/dataset/<path:dataset_name>.<path:file_format>".format(version)) +@app.route("/api/v_{}/dataset/<path:group_name>/<path:dataset_name>".format(version)) +@app.route("/api/v_{}/dataset/<path:group_name>/<path:dataset_name>.<path:file_format>".format(version)) +def get_dataset_info(dataset_name, group_name = None, file_format="json"): + #ZS: First get ProbeSet (mRNA expression) datasets and then get Phenotype datasets + + datasets_list = [] #ZS: I figure I might as well return a list if there are multiple matches, though I don"t know if this will actually happen in practice + + probeset_query = """ + SELECT ProbeSetFreeze.Id, ProbeSetFreeze.Name, ProbeSetFreeze.FullName, + ProbeSetFreeze.ShortName, ProbeSetFreeze.DataScale, ProbeFreeze.TissueId, + Tissue.Name, ProbeSetFreeze.public, ProbeSetFreeze.confidentiality + FROM ProbeSetFreeze, ProbeFreeze, Tissue + """ + + where_statement = """ + WHERE ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id AND + ProbeFreeze.TissueId = Tissue.Id AND + ProbeSetFreeze.public > 0 AND + ProbeSetFreeze.confidentiality < 1 AND + """ + if dataset_name.isdigit(): + where_statement += """ + ProbeSetFreeze.Id = "{}" + """.format(dataset_name) + else: + where_statement += """ + (ProbeSetFreeze.Name = "{0}" OR ProbeSetFreeze.Name2 = "{0}" OR + ProbeSetFreeze.FullName = "{0}" OR ProbeSetFreeze.ShortName = "{0}") + """.format(dataset_name) + + probeset_query += where_statement + probeset_results = g.db.execute(probeset_query) + dataset = probeset_results.fetchone() + + if dataset: + dataset_dict = { + "dataset_type" : "mRNA expression", + "id" : dataset[0], + "name" : dataset[1], + "full_name" : dataset[2], + "short_name" : dataset[3], + "data_scale" : dataset[4], + "tissue_id" : dataset[5], + "tissue" : dataset[6], + "public" : dataset[7], + "confidential" : dataset[8] + } + + datasets_list.append(dataset_dict) + + if group_name: + pheno_query = """ + SELECT PublishXRef.Id, Phenotype.Post_publication_abbreviation, Phenotype.Post_publication_description, + Phenotype.Pre_publication_abbreviation, Phenotype.Pre_publication_description, + Publication.PubMed_ID, Publication.Title, Publication.Year + FROM PublishXRef, Phenotype, Publication, InbredSet, PublishFreeze + WHERE PublishXRef.InbredSetId = InbredSet.Id AND + PublishXRef.PhenotypeId = Phenotype.Id AND + PublishXRef.PublicationId = Publication.Id AND + PublishFreeze.InbredSetId = InbredSet.Id AND + PublishFreeze.public > 0 AND + PublishFreeze.confidentiality < 1 AND + InbredSet.Name = "{0}" AND PublishXRef.Id = "{1}" + """.format(group_name, dataset_name) + + logger.debug("QUERY:", pheno_query) + + pheno_results = g.db.execute(pheno_query) + dataset = pheno_results.fetchone() + + if dataset: + if dataset[5]: + dataset_dict = { + "dataset_type" : "phenotype", + "id" : dataset[0], + "name" : dataset[1], + "description" : dataset[2], + "pubmed_id" : dataset[5], + "title" : dataset[6], + "year" : dataset[7] + } + elif dataset[4]: + dataset_dict = { + "dataset_type" : "phenotype", + "id" : dataset[0], + "name" : dataset[3], + "description" : dataset[4] + } + else: + dataset_dict = { + "dataset_type" : "phenotype", + "id" : dataset[0] + } + + datasets_list.append(dataset_dict) + + if len(datasets_list) > 1: + return flask.jsonify(datasets_list) + elif len(datasets_list) == 1: + return flask.jsonify(dataset_dict) + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + +@app.route("/api/v_{}/traits/<path:dataset_name>".format(version), methods=("GET",)) +@app.route("/api/v_{}/traits/<path:dataset_name>.<path:file_format>".format(version), methods=("GET",)) +def fetch_traits(dataset_name, file_format = "json"): + trait_ids, trait_names, data_type, dataset_id = get_dataset_trait_ids(dataset_name, request.args) + if ("ids_only" in request.args) and (len(trait_ids) > 0): + if file_format == "json": + filename = dataset_name + "_trait_ids.json" + return flask.jsonify(trait_ids) + else: + filename = dataset_name + "_trait_ids.csv" + + si = StringIO.StringIO() + csv_writer = csv.writer(si) + csv_writer.writerows([[trait_id] for trait_id in trait_ids]) + output = make_response(si.getvalue()) + output.headers["Content-Disposition"] = "attachment; filename=" + filename + output.headers["Content-type"] = "text/csv" + return output + elif ("names_only" in request.args) and (len(trait_ids) > 0): + if file_format == "json": + filename = dataset_name + "_trait_names.json" + return flask.jsonify(trait_names) + else: + filename = dataset_name + "_trait_names.csv" + + si = StringIO.StringIO() + csv_writer = csv.writer(si) + csv_writer.writerows([[trait_name] for trait_name in trait_names]) + output = make_response(si.getvalue()) + output.headers["Content-Disposition"] = "attachment; filename=" + filename + output.headers["Content-type"] = "text/csv" + return output + else: + if len(trait_ids) > 0: + if data_type == "ProbeSet": + query = """ + SELECT + ProbeSet.Id, ProbeSet.Name, ProbeSet.Symbol, ProbeSet.description, ProbeSet.Chr, ProbeSet.Mb, ProbeSet.alias, + ProbeSetXRef.mean, ProbeSetXRef.se, ProbeSetXRef.Locus, ProbeSetXRef.LRS, ProbeSetXRef.pValue, ProbeSetXRef.additive, ProbeSetXRef.h2 + FROM + ProbeSet, ProbeSetXRef, ProbeSetFreeze + WHERE + ProbeSetXRef.ProbeSetFreezeId = "{0}" AND + ProbeSetXRef.ProbeSetId = ProbeSet.Id AND + ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND + ProbeSetFreeze.public > 0 AND + ProbeSetFreeze.confidentiality < 1 + ORDER BY + ProbeSet.Id + """ + + field_list = ["Id", "Name", "Symbol", "Description", "Chr", "Mb", "Aliases", "Mean", "SE", "Locus", "LRS", "P-Value", "Additive", "h2"] + elif data_type == "Geno": + query = """ + SELECT + Geno.Id, Geno.Name, Geno.Marker_Name, Geno.Chr, Geno.Mb, Geno.Sequence, Geno.Source + FROM + Geno, GenoXRef, GenoFreeze + WHERE + GenoXRef.GenoFreezeId = "{0}" AND + GenoXRef.GenoId = Geno.Id AND + GenoXRef.GenoFreezeId = GenoFreeze.Id AND + GenoFreeze.public > 0 AND + GenoFreeze.confidentiality < 1 + ORDER BY + Geno.Id + """ + + field_list = ["Id", "Name", "Marker_Name", "Chr", "Mb", "Sequence", "Source"] + else: + query = """ + SELECT + PublishXRef.Id, PublishXRef.PhenotypeId, PublishXRef.PublicationId, PublishXRef.Locus, PublishXRef.LRS, PublishXRef.additive, PublishXRef.Sequence + FROM + PublishXRef, PublishFreeze + WHERE + PublishXRef.InbredSetId = {0} AND + PublishFreeze.InbredSetId = PublishXRef.InbredSetId AND + PublishFreeze.public > 0 AND + PublishFreeze.confidentiality < 1 + ORDER BY + PublishXRef.Id + """ + + field_list = ["Id", "PhenotypeId", "PublicationId", "Locus", "LRS", "Additive", "Sequence"] + + if 'limit_to' in request.args: + limit_number = request.args['limit_to'] + query += "LIMIT " + str(limit_number) + + if file_format == "json": + filename = dataset_name + "_traits.json" + + final_query = query.format(dataset_id) + + result_list = [] + for result in g.db.execute(final_query).fetchall(): + trait_dict = {} + for i, field in enumerate(field_list): + if result[i]: + trait_dict[field] = result[i] + result_list.append(trait_dict) + + return flask.jsonify(result_list) + elif file_format == "csv": + filename = dataset_name + "_traits.csv" + + results_list = [] + header_list = [] + header_list += field_list + results_list.append(header_list) + + final_query = query.format(dataset_id) + for result in g.db.execute(final_query).fetchall(): + results_list.append(result) + + si = StringIO.StringIO() + csv_writer = csv.writer(si) + csv_writer.writerows(results_list) + output = make_response(si.getvalue()) + output.headers["Content-Disposition"] = "attachment; filename=" + filename + output.headers["Content-type"] = "text/csv" + return output + else: + return return_error(code=400, source=request.url_rule.rule, title="Invalid Output Format", details="Current formats available are JSON and CSV, with CSV as default") + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + +@app.route("/api/v_{}/sample_data/<path:dataset_name>".format(version)) +@app.route("/api/v_{}/sample_data/<path:dataset_name>.<path:file_format>".format(version)) +def all_sample_data(dataset_name, file_format = "csv"): + trait_ids, trait_names, data_type, dataset_id = get_dataset_trait_ids(dataset_name, request.args) + + if len(trait_ids) > 0: + sample_list = get_samplelist(dataset_name) + + if data_type == "ProbeSet": + query = """ + SELECT + Strain.Name, Strain.Name2, ProbeSetData.value, ProbeSetData.Id, ProbeSetSE.error + FROM + (ProbeSetData, Strain, ProbeSetXRef, ProbeSetFreeze) + LEFT JOIN ProbeSetSE ON + (ProbeSetSE.DataId = ProbeSetData.Id AND ProbeSetSE.StrainId = ProbeSetData.StrainId) + WHERE + ProbeSetXRef.ProbeSetFreezeId = "{0}" AND + ProbeSetXRef.ProbeSetId = "{1}" AND + ProbeSetXRef.DataId = ProbeSetData.Id AND + ProbeSetData.StrainId = Strain.Id AND + ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND + ProbeSetFreeze.public > 0 AND + ProbeSetFreeze.confidentiality < 1 + ORDER BY + Strain.Name + """ + elif data_type == "Geno": + query = """ + SELECT + Strain.Name, Strain.Name2, GenoData.value, GenoData.Id, GenoSE.error + FROM + (GenoData, Strain, GenoXRef, GenoFreeze) + LEFT JOIN GenoSE ON + (GenoSE.DataId = GenoData.Id AND GenoSE.StrainId = GenoData.StrainId) + WHERE + GenoXRef.GenoFreezeId = "{0}" AND + GenoXRef.GenoId = "{1}" AND + GenoXRef.DataId = GenoData.Id AND + GenoData.StrainId = Strain.Id AND + GenoXRef.GenoFreezeId = GenoFreeze.Id AND + GenoFreeze.public > 0 AND + GenoFreeze.confidentiality < 1 + ORDER BY + Strain.Name + """ + else: + query = """ + SELECT + Strain.Name, Strain.Name2, PublishData.value, PublishData.Id, PublishSE.error, NStrain.count + FROM + (PublishData, Strain, PublishXRef, PublishFreeze) + LEFT JOIN PublishSE ON + (PublishSE.DataId = PublishData.Id AND PublishSE.StrainId = PublishData.StrainId) + LEFT JOIN NStrain ON + (NStrain.DataId = PublishData.Id AND + NStrain.StrainId = PublishData.StrainId) + WHERE + PublishXRef.InbredSetId = "{0}" AND + PublishXRef.PhenotypeId = "{1}" AND + PublishData.Id = PublishXRef.DataId AND + PublishData.StrainId = Strain.Id AND + PublishXRef.InbredSetId = PublishFreeze.InbredSetId AND + PublishFreeze.public > 0 AND + PublishFreeze.confidentiality < 1 + ORDER BY + Strain.Name + """ + + if file_format == "csv": + filename = dataset_name + "_sample_data.csv" + + results_list = [] + header_list = [] + header_list.append("id") + header_list += sample_list + results_list.append(header_list) + for i, trait_id in enumerate(trait_ids): + line_list = [] + line_list.append(str(trait_names[i])) + final_query = query.format(dataset_id, trait_id) + results = g.db.execute(final_query).fetchall() + results_dict = {} + for item in results: + results_dict[item[0]] = item[2] + for sample in sample_list: + if sample in results_dict: + line_list.append(results_dict[sample]) + else: + line_list.append("x") + results_list.append(line_list) + + results_list = map(list, zip(*results_list)) + + si = StringIO.StringIO() + csv_writer = csv.writer(si) + csv_writer.writerows(results_list) + output = make_response(si.getvalue()) + output.headers["Content-Disposition"] = "attachment; filename=" + filename + output.headers["Content-type"] = "text/csv" + return output + else: + return return_error(code=415, source=request.url_rule.rule, title="Unsupported file format", details="") + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + +@app.route("/api/v_{}/sample_data/<path:dataset_name>/<path:trait_name>".format(version)) +@app.route("/api/v_{}/sample_data/<path:dataset_name>/<path:trait_name>.<path:file_format>".format(version)) +def trait_sample_data(dataset_name, trait_name, file_format = "json"): + probeset_query = """ + SELECT + Strain.Name, Strain.Name2, ProbeSetData.value, ProbeSetData.Id, ProbeSetSE.error + FROM + (ProbeSetData, ProbeSetFreeze, Strain, ProbeSet, ProbeSetXRef) + LEFT JOIN ProbeSetSE ON + (ProbeSetSE.DataId = ProbeSetData.Id AND ProbeSetSE.StrainId = ProbeSetData.StrainId) + WHERE + ProbeSet.Name = "{0}" AND ProbeSetXRef.ProbeSetId = ProbeSet.Id AND + ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND + ProbeSetFreeze.Name = "{1}" AND + ProbeSetXRef.DataId = ProbeSetData.Id AND + ProbeSetData.StrainId = Strain.Id + ORDER BY + Strain.Name + """.format(trait_name, dataset_name) + + probeset_results = g.db.execute(probeset_query) + + sample_data = probeset_results.fetchall() + if len(sample_data) > 0: + sample_list = [] + for sample in sample_data: + sample_dict = { + "sample_name" : sample[0], + "sample_name_2" : sample[1], + "value" : sample[2], + "data_id" : sample[3], + } + if sample[4]: + sample_dict["se"] = sample[4] + sample_list.append(sample_dict) + + return flask.jsonify(sample_list) + else: + if not dataset_name.isdigit(): + group_id = get_group_id(dataset_name) + if group_id: + dataset_or_group = group_id + else: + dataset_or_group = dataset_name + else: + dataset_or_group = dataset_name + + pheno_query = """ + SELECT DISTINCT + Strain.Name, Strain.Name2, PublishData.value, PublishData.Id, PublishSE.error, NStrain.count + FROM + (PublishData, Strain, PublishXRef, PublishFreeze) + LEFT JOIN PublishSE ON + (PublishSE.DataId = PublishData.Id AND PublishSE.StrainId = PublishData.StrainId) + LEFT JOIN NStrain ON + (NStrain.DataId = PublishData.Id AND + NStrain.StrainId = PublishData.StrainId) + WHERE + PublishXRef.InbredSetId = PublishFreeze.InbredSetId AND + PublishData.Id = PublishXRef.DataId AND PublishXRef.Id = "{1}" AND + (PublishFreeze.Id = "{0}" OR PublishFreeze.Name = "{0}" OR + PublishFreeze.ShortName = "{0}" OR PublishXRef.InbredSetId = "{0}") AND + PublishData.StrainId = Strain.Id + ORDER BY + Strain.Name + """.format(dataset_or_group, trait_name) + + pheno_results = g.db.execute(pheno_query) + + sample_data = pheno_results.fetchall() + if len(sample_data) > 0: + sample_list = [] + for sample in sample_data: + sample_dict = { + "sample_name" : sample[0], + "sample_name_2" : sample[1], + "value" : sample[2], + "data_id" : sample[3] + } + if sample[4]: + sample_dict["se"] = sample[4] + if sample[5]: + sample_dict["n_cases"] = sample[5] + sample_list.append(sample_dict) + + return flask.jsonify(sample_list) + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + +@app.route("/api/v_{}/trait/<path:dataset_name>/<path:trait_name>".format(version)) +@app.route("/api/v_{}/trait/<path:dataset_name>/<path:trait_name>.<path:file_format>".format(version)) +@app.route("/api/v_{}/trait_info/<path:dataset_name>/<path:trait_name>".format(version)) +@app.route("/api/v_{}/trait_info/<path:dataset_name>/<path:trait_name>.<path:file_format>".format(version)) +def get_trait_info(dataset_name, trait_name, file_format = "json"): + probeset_query = """ + SELECT + ProbeSet.Id, ProbeSet.Name, ProbeSet.Symbol, ProbeSet.description, ProbeSet.Chr, ProbeSet.Mb, ProbeSet.alias, + ProbeSetXRef.mean, ProbeSetXRef.se, ProbeSetXRef.Locus, ProbeSetXRef.LRS, ProbeSetXRef.pValue, ProbeSetXRef.additive + FROM + ProbeSet, ProbeSetXRef, ProbeSetFreeze + WHERE + ProbeSet.Name = "{0}" AND + ProbeSetXRef.ProbeSetId = ProbeSet.Id AND + ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND + ProbeSetFreeze.Name = "{1}" + """.format(trait_name, dataset_name) + + probeset_results = g.db.execute(probeset_query) + + trait_info = probeset_results.fetchone() + if trait_info: + trait_dict = { + "id" : trait_info[0], + "name" : trait_info[1], + "symbol" : trait_info[2], + "description" : trait_info[3], + "chr" : trait_info[4], + "mb" : trait_info[5], + "alias" :trait_info[6], + "mean" : trait_info[7], + "se" : trait_info[8], + "locus" : trait_info[9], + "lrs" : trait_info[10], + "p_value" : trait_info[11], + "additive" : trait_info[12] + } + + return flask.jsonify(trait_dict) + else: + if "Publish" in dataset_name: #ZS: Check if the user input the dataset_name as BXDPublish, etc (which is always going to be the group name + "Publish" + dataset_name = dataset_name.replace("Publish", "") + + group_id = get_group_id(dataset_name) + pheno_query = """ + SELECT + PublishXRef.PhenotypeId, PublishXRef.Locus, PublishXRef.LRS, PublishXRef.additive + FROM + PublishXRef + WHERE + PublishXRef.Id = "{0}" AND + PublishXRef.InbredSetId = "{1}" + """.format(trait_name, group_id) + + pheno_results = g.db.execute(pheno_query) + + trait_info = pheno_results.fetchone() + if trait_info: + trait_dict = { + "id" : trait_info[0], + "locus" : trait_info[1], + "lrs" : trait_info[2], + "additive" : trait_info[3] + } + + return flask.jsonify(trait_dict) + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + +@app.route("/api/v_{}/correlation".format(version), methods=("GET",)) +def get_corr_results(): + results = correlation.do_correlation(request.args) + + if len(results) > 0: + return flask.jsonify(results) #ZS: I think flask.jsonify expects a dict/list instead of JSON + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + +@app.route("/api/v_{}/mapping".format(version), methods=("GET",)) +def get_mapping_results(): + results, format = mapping.do_mapping_for_api(request.args) + + if len(results) > 0: + if format == "csv": + filename = "mapping_" + datetime.datetime.utcnow().strftime("%b_%d_%Y_%I:%M%p") + ".csv" + + si = StringIO.StringIO() + csv_writer = csv.writer(si) + csv_writer.writerows(results) + output = make_response(si.getvalue()) + output.headers["Content-Disposition"] = "attachment; filename=" + filename + output.headers["Content-type"] = "text/csv" + + return output + elif format == "json": + return flask.jsonify(results) + else: + return return_error(code=415, source=request.url_rule.rule, title="Unsupported Format", details="") + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + +@app.route("/api/v_{}/genotypes/<string:file_format>/<string:group_name>/<string:dataset_name>.zip".format(version)) +@app.route("/api/v_{}/genotypes/<string:file_format>/<string:group_name>/<string:dataset_name>".format(version)) +@app.route("/api/v_{}/genotypes/<string:file_format>/<string:group_name>.zip".format(version)) +@app.route("/api/v_{}/genotypes/<string:file_format>/<string:group_name>".format(version)) +@app.route("/api/v_{}/genotypes/<string:group_name>.<string:file_format>".format(version)) +def get_genotypes(group_name, file_format="csv", dataset_name=None): + limit_num = None + if 'limit_to' in request.args: + if request.args['limit_to'].isdigit(): + limit_num = int(request.args['limit_to']) + + si = StringIO.StringIO() + if file_format == "csv" or file_format == "geno": + filename = group_name + ".geno" + + if os.path.isfile("{0}/{1}.geno".format(flat_files("genotype"), group_name)): + output_lines = [] + with open("{0}/{1}.geno".format(flat_files("genotype"), group_name)) as genofile: + i = 0 + for line in genofile: + if line[0] == "#" or line[0] == "@": + output_lines.append([line.strip()]) + else: + if limit_num and i >= limit_num: + break + output_lines.append(line.split()) + i += 1 + + csv_writer = csv.writer(si, delimiter = "\t", escapechar = "\\", quoting = csv.QUOTE_NONE) + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + elif file_format == "rqtl2": + memory_file = io.BytesIO() + if dataset_name: + filename = dataset_name + else: + filename = group_name + + if os.path.isfile("{0}/{1}_geno.csv".format(flat_files("genotype/rqtl2"), group_name)): + yaml_file = json.load(open("{0}/{1}.json".format(flat_files("genotype/rqtl2"), group_name))) + yaml_file["geno"] = filename + "_geno.csv" + yaml_file["gmap"] = filename + "_gmap.csv" + yaml_file["pheno"] = filename + "_pheno.csv" + config_file = [filename + ".json", json.dumps(yaml_file)] + #config_file = [filename + ".yaml", open("{0}/{1}.yaml".format(flat_files("genotype/rqtl2"), group_name))] + geno_file = [filename + "_geno.csv", open("{0}/{1}_geno.csv".format(flat_files("genotype/rqtl2"), group_name))] + gmap_file = [filename + "_gmap.csv", open("{0}/{1}_gmap.csv".format(flat_files("genotype/rqtl2"), group_name))] + if dataset_name: + phenotypes = requests.get("http://gn2.genenetwork.org/api/v_pre1/sample_data/" + dataset_name) + else: + phenotypes = requests.get("http://gn2.genenetwork.org/api/v_pre1/sample_data/" + group_name + "Publish") + + with ZipFile(memory_file, 'w', compression=ZIP_DEFLATED) as zf: + zf.writestr(config_file[0], config_file[1]) + for this_file in [geno_file, gmap_file]: + zf.writestr(this_file[0], this_file[1].read()) + zf.writestr(filename + "_pheno.csv", phenotypes.content) + + memory_file.seek(0) + + return send_file(memory_file, attachment_filename=filename + ".zip", as_attachment=True) + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + else: + filename = group_name + ".bimbam" + + if os.path.isfile("{0}/{1}.geno".format(flat_files("genotype"), group_name)): + output_lines = [] + with open("{0}/{1}_geno.txt".format(flat_files("genotype/bimbam"), group_name)) as genofile: + i = 0 + for line in genofile: + if limit_num and i >= limit_num: + break + output_lines.append([line.strip() for line in line.split(",")]) + i += 1 + + csv_writer = csv.writer(si, delimiter = ",") + else: + return return_error(code=204, source=request.url_rule.rule, title="No Results", details="") + + csv_writer.writerows(output_lines) + output = make_response(si.getvalue()) + output.headers["Content-Disposition"] = "attachment; filename=" + filename + output.headers["Content-type"] = "text/csv" + + return output + +@app.route("/api/v_{}/gen_dropdown".format(version), methods=("GET",)) +def gen_dropdown_menu(): + results = gen_menu.gen_dropdown_json() + + if len(results) > 0: + return flask.jsonify(results) + else: + return return_error(code=500, source=request.url_rule.rule, title="Some error occurred", details="") + +def return_error(code, source, title, details): + json_ob = {"errors": [ + { + "status": code, + "source": { "pointer": source }, + "title" : title, + "detail": details + } + ]} + + return flask.jsonify(json_ob) + +def get_dataset_trait_ids(dataset_name, start_vars): + + if 'limit_to' in start_vars: + limit_string = "LIMIT " + str(start_vars['limit_to']) + else: + limit_string = "" + + if "Geno" in dataset_name: + data_type = "Geno" #ZS: Need to pass back the dataset type + query = """ + SELECT + GenoXRef.GenoId, Geno.Name, GenoXRef.GenoFreezeId + FROM + Geno, GenoXRef, GenoFreeze + WHERE + Geno.Id = GenoXRef.GenoId AND + GenoXRef.GenoFreezeId = GenoFreeze.Id AND + GenoFreeze.Name = "{0}" + {1} + """.format(dataset_name, limit_string) + + results = g.db.execute(query).fetchall() + + trait_ids = [result[0] for result in results] + trait_names = [result[1] for result in results] + dataset_id = results[0][2] + return trait_ids, trait_names, data_type, dataset_id + + elif "Publish" in dataset_name or get_group_id(dataset_name): + data_type = "Publish" + dataset_name = dataset_name.replace("Publish", "") + dataset_id = get_group_id(dataset_name) + + query = """ + SELECT + PublishXRef.PhenotypeId + FROM + PublishXRef + WHERE + PublishXRef.InbredSetId = "{0}" + {1} + """.format(dataset_id, limit_string) + + results = g.db.execute(query).fetchall() + + trait_ids = [result[0] for result in results] + trait_names = trait_ids + return trait_ids, trait_names, data_type, dataset_id + + else: + data_type = "ProbeSet" + query = """ + SELECT + ProbeSetXRef.ProbeSetId, ProbeSet.Name, ProbeSetXRef.ProbeSetFreezeId + FROM + ProbeSet, ProbeSetXRef, ProbeSetFreeze + WHERE + ProbeSet.Id = ProbeSetXRef.ProbeSetId AND + ProbeSetXRef.ProbeSetFreezeId = ProbeSetFreeze.Id AND + ProbeSetFreeze.Name = "{0}" + {1} + """.format(dataset_name, limit_string) + + results = g.db.execute(query).fetchall() + + trait_ids = [result[0] for result in results] + trait_names = [result[1] for result in results] + dataset_id = results[0][2] + return trait_ids, trait_names, data_type, dataset_id + +def get_samplelist(dataset_name): + group_id = get_group_id_from_dataset(dataset_name) + + query = """ + SELECT Strain.Name + FROM Strain, StrainXRef + WHERE StrainXRef.StrainId = Strain.Id AND + StrainXRef.InbredSetId = {} + """.format(group_id) + + results = g.db.execute(query).fetchall() + + samplelist = [result[0] for result in results] + + return samplelist + +def get_group_id_from_dataset(dataset_name): + if "Publish" in dataset_name: + query = """ + SELECT + InbredSet.Id + FROM + InbredSet, PublishFreeze + WHERE + PublishFreeze.InbredSetId = InbredSet.Id AND + PublishFreeze.Name = "{}" + """.format(dataset_name) + elif "Geno" in dataset_name: + query = """ + SELECT + InbredSet.Id + FROM + InbredSet, GenoFreeze + WHERE + GenoFreeze.InbredSetId = InbredSet.Id AND + GenoFreeze.Name = "{}" + """.format(dataset_name) + else: + query = """ + SELECT + InbredSet.Id + FROM + InbredSet, ProbeSetFreeze, ProbeFreeze + WHERE + ProbeFreeze.InbredSetId = InbredSet.Id AND + ProbeFreeze.Id = ProbeSetFreeze.ProbeFreezeId AND + ProbeSetFreeze.Name = "{}" + """.format(dataset_name) + + result = g.db.execute(query).fetchone() + + if len(result) > 0: + return result[0] + else: + return None + +def get_group_id(group_name): + query = """ + SELECT InbredSet.Id + FROM InbredSet + WHERE InbredSet.Name = "{}" + """.format(group_name) + + group_id = g.db.execute(query).fetchone() + if group_id: + return group_id[0] + else: + return None
\ No newline at end of file diff --git a/wqflask/wqflask/collect.py b/wqflask/wqflask/collect.py index ecc02c06..1d74b699 100644 --- a/wqflask/wqflask/collect.py +++ b/wqflask/wqflask/collect.py @@ -8,7 +8,6 @@ import time import uuid import hashlib -import hmac import base64 import urlparse @@ -28,9 +27,8 @@ from pprint import pformat as pf from wqflask.database import db_session from wqflask import model -from wqflask import user_manager -from utility import Bunch, Struct +from utility import Bunch, Struct, hmac from utility.formatting import numify from base import trait @@ -40,119 +38,15 @@ import logging from utility.logger import getLogger logger = getLogger(__name__) - -class AnonCollection(object): - """User is not logged in""" - def __init__(self, collection_name): - anon_user = user_manager.AnonUser() - self.key = anon_user.key - self.name = collection_name - self.id = None - self.created_timestamp = datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p') - self.changed_timestamp = self.created_timestamp #ZS: will be updated when changes are made - - #ZS: Find id and set it if the collection doesn't already exist - if Redis.get(self.key) == "None" or Redis.get(self.key) == None: - Redis.set(self.key, None) #ZS: For some reason I get the error "Operation against a key holding the wrong kind of value" if I don't do this - else: - collections_list = json.loads(Redis.get(self.key)) - collection_position = 0 #ZS: Position of collection in collection_list, if it exists - collection_exists = False - for i, collection in enumerate(collections_list): - if collection['name'] == self.name: - collection_position = i - collection_exists = True - self.id = collection['id'] - break - - if self.id == None: - self.id = str(uuid.uuid4()) - - def get_members(self): - traits = [] - collections_list = json.loads(Redis.get(self.key)) - for collection in collections_list: - if collection['id'] == self.id: - traits = collection['members'] - return traits - - @property - def num_members(self): - num_members = 0 - collections_list = json.loads(Redis.get(self.key)) - for collection in collections_list: - if collection['id'] == self.id: - num_members = collection['num_members'] - return num_members - - def add_traits(self, params): - #assert collection_name == "Default", "Unexpected collection name for anonymous user" - self.traits = list(process_traits(params['traits'])) - existing_collections = Redis.get(self.key) - logger.debug("existing_collections:", existing_collections) - if existing_collections != None and existing_collections != "None": - collections_list = json.loads(existing_collections) - collection_position = 0 #ZS: Position of collection in collection_list, if it exists - collection_exists = False - for i, collection in enumerate(collections_list): - if collection['id'] == self.id: - collection_position = i - collection_exists = True - break - if collection_exists: - collections_list[collection_position]['members'].extend(self.traits) - collections_list[collection_position]['num_members'] = len(collections_list[collection_position]['members']) - collections_list[collection_position]['changed_timestamp'] = datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p') - else: - collection_dict = {"id" : self.id, - "name" : self.name, - "created_timestamp" : self.created_timestamp, - "changed_timestamp" : self.changed_timestamp, - "num_members" : len(self.traits), - "members" : self.traits} - collections_list.append(collection_dict) - else: - collections_list = [] - collection_dict = {"id" : self.id, - "name" : self.name, - "created_timestamp" : self.created_timestamp, - "changed_timestamp" : self.changed_timestamp, - "num_members" : len(self.traits), - "members" : self.traits} - collections_list.append(collection_dict) - - Redis.set(self.key, json.dumps(collections_list)) - - def remove_traits(self, params): - traits_to_remove = [(":").join(trait.split(":")[:2]) for trait in params.getlist('traits[]')] - existing_collections = Redis.get(self.key) - collection_position = 0 - collections_list = json.loads(existing_collections) - for i, collection in enumerate(collections_list): - if collection['id'] == self.id: - collection_position = i - collection_exists = True - break - collections_list[collection_position]['members'] = [trait for trait in collections_list[collection_position]['members'] if trait not in traits_to_remove] - collections_list[collection_position]['num_members'] = len(collections_list[collection_position]['members']) - collections_list[collection_position]['changed_timestamp'] = datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p') - len_now = collections_list[collection_position]['num_members'] - Redis.set(self.key, json.dumps(collections_list)) - - # We need to return something so we'll return this...maybe in the future - # we can use it to check the results - return str(len_now) - def process_traits(unprocessed_traits): - #print("unprocessed_traits are:", unprocessed_traits) if isinstance(unprocessed_traits, basestring): unprocessed_traits = unprocessed_traits.split(",") traits = set() for trait in unprocessed_traits: - #print("trait is:", trait) - data, _separator, hmac = trait.rpartition(':') + data, _separator, the_hmac = trait.rpartition(':') data = data.strip() - assert hmac==user_manager.actual_hmac_creation(data), "Data tampering?" + if g.user_session.logged_in: + assert the_hmac == hmac.hmac_creation(data), "Data tampering?" traits.add(str(data)) return traits @@ -160,33 +54,43 @@ def process_traits(unprocessed_traits): def report_change(len_before, len_now): new_length = len_now - len_before if new_length: - logger.debug("We've added {} to your collection.".format( - numify(new_length, 'new trait', 'new traits'))) flash("We've added {} to your collection.".format( numify(new_length, 'new trait', 'new traits'))) else: logger.debug("No new traits were added.") +@app.route("/collections/store_trait_list", methods=('POST',)) +def store_traits_list(): + params = request.form + + traits = params['traits'] + hash = params['hash'] + + Redis.set(hash, traits) + + return hash @app.route("/collections/add") def collections_add(): - traits=request.args['traits'] - if g.user_session.logged_in: - user_collections = g.user_session.user_collections - #logger.debug("user_collections are:", user_collections) + collections = g.user_session.user_collections + if len(collections) < 1: + collection_name = "Your Default Collection" + uc_id = g.user_session.add_collection(collection_name, set()) + collections = g.user_session.user_collections + + #ZS: One of these might be unnecessary + if 'traits' in request.args: + traits=request.args['traits'] return render_template("collections/add.html", - traits = traits, - collections = user_collections, - ) + traits = traits, + collections = collections, + ) else: - anon_collections = user_manager.AnonUser().get_collections() - collection_names = [] - for collection in anon_collections: - collection_names.append({'id':collection['id'], 'name':collection['name']}) + hash = request.args['hash'] return render_template("collections/add.html", - traits = traits, - collections = collection_names, + hash = hash, + collections = collections, ) @app.route("/collections/new") @@ -196,74 +100,69 @@ def collections_new(): if "sign_in" in params: return redirect(url_for('login')) if "create_new" in params: - logger.debug("in create_new") collection_name = params['new_collection'] + if collection_name.strip() == "": + collection_name = datetime.datetime.utcnow().strftime('Collection_%b_%d_%H:%M') return create_new(collection_name) elif "add_to_existing" in params: - logger.debug("in add to existing") - collection_id = params['existing_collection'].split(":")[0] - collection_name = params['existing_collection'].split(":")[1] - if g.user_session.logged_in: - traits = list(process_traits(params['traits'])) - g.user_session.add_traits_to_collection(collection_id, traits) - return redirect(url_for('view_collection', uc_id=collection_id)) + if 'existing_collection' not in params: + collections = g.user_session.user_collections + for collection in collections: + if collection["name"] == "Your Default Collection": + collection_id = collection["id"] + collection_name = collection["name"] + default_collection_exists = True + if not default_collection_exists: + return create_new("Your Default Collection") + else: + collection_id = params['existing_collection'].split(":")[0] + collection_name = params['existing_collection'].split(":")[1] + + if "hash" in params: + unprocessed_traits = Redis.get(params['hash']) else: - ac = AnonCollection(collection_name) - ac.add_traits(params) - return redirect(url_for('view_collection', collection_id=ac.id)) + unprocessed_traits = params['traits'] + traits = list(process_traits(unprocessed_traits)) + g.user_session.add_traits_to_collection(collection_id, traits) + return redirect(url_for('view_collection', uc_id=collection_id)) else: CauseAnError def create_new(collection_name): params = request.args - unprocessed_traits = params['traits'] + if "hash" in params: + unprocessed_traits = Redis.get(params['hash']) + Redis.delete(params['hash']) + else: + unprocessed_traits = params['traits'] + traits = process_traits(unprocessed_traits) - if g.user_session.logged_in: - uc_id = g.user_session.add_collection(collection_name, traits) + uc_id = g.user_session.add_collection(collection_name, traits) - return redirect(url_for('view_collection', uc_id=uc_id)) - else: - ac = AnonCollection(collection_name) - ac.changed_timestamp = datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p') - ac.add_traits(params) - return redirect(url_for('view_collection', collection_id=ac.id)) + return redirect(url_for('view_collection', uc_id=uc_id)) @app.route("/collections/list") def list_collections(): params = request.args - #logger.debug("PARAMS:", params) - if g.user_session.logged_in: - user_collections = list(g.user_session.user_collections) - #logger.debug("user_collections are:", user_collections) - return render_template("collections/list.html", - params = params, - collections = user_collections, - ) - else: - anon_collections = user_manager.AnonUser().get_collections() - #logger.debug("anon_collections are:", anon_collections) - return render_template("collections/list.html", - params = params, - collections = anon_collections) + user_collections = list(g.user_session.user_collections) + return render_template("collections/list.html", + params = params, + collections = user_collections, + ) @app.route("/collections/remove", methods=('POST',)) def remove_traits(): params = request.form - if "uc_id" in params: - uc_id = params['uc_id'] - traits_to_remove = params.getlist('traits[]') - traits_to_remove = process_traits(traits_to_remove) - logger.debug("\n\n after processing, traits_to_remove:", traits_to_remove) - - members_now = g.user_session.remove_traits_from_collection(uc_id, traits_to_remove) - else: - collection_name = params['collection_name'] - members_now = AnonCollection(collection_name).remove_traits(params) + uc_id = params['uc_id'] + traits_to_remove = params.getlist('traits[]') + traits_to_remove = process_traits(traits_to_remove) + logger.debug("\n\n after processing, traits_to_remove:", traits_to_remove) + members_now = g.user_session.remove_traits_from_collection(uc_id, traits_to_remove) # We need to return something so we'll return this...maybe in the future # we can use it to check the results @@ -273,22 +172,20 @@ def remove_traits(): @app.route("/collections/delete", methods=('POST',)) def delete_collection(): params = request.form - if g.user_session.logged_in: - uc_id = params['uc_id'] - if len(uc_id.split(":")) > 1: - for this_uc_id in uc_id.split(":"): - collection_name = g.user_session.delete_collection(this_uc_id) - else: - collection_name = g.user_session.delete_collection(uc_id) - else: - if "collection_name" in params: - collection_name = params['collection_name'] - else: - for this_collection in params['uc_id'].split(":"): - user_manager.AnonUser().delete_collection(this_collection) + uc_id = "" + uc_id = params['uc_id'] if len(uc_id.split(":")) > 1: - flash("We've deleted the selected collections.", "alert-info") + for this_uc_id in uc_id.split(":"): + collection_name = g.user_session.delete_collection(this_uc_id) + else: + collection_name = g.user_session.delete_collection(uc_id) + + if uc_id != "": + if len(uc_id.split(":")) > 1: + flash("We've deleted the selected collections.", "alert-info") + else: + flash("We've deleted the collection: {}.".format(uc_id), "alert-info") else: flash("We've deleted the collection: {}.".format(collection_name), "alert-info") @@ -299,19 +196,9 @@ def delete_collection(): def view_collection(): params = request.args - if g.user_session.logged_in and "uc_id" in params: - uc_id = params['uc_id'] - uc = (collection for collection in g.user_session.user_collections if collection["id"] == uc_id).next() - traits = uc["members"] - else: - user_collections = json.loads(Redis.get(user_manager.AnonUser().key)) - this_collection = {} - for collection in user_collections: - if collection['id'] == params['collection_id']: - this_collection = collection - break - - traits = this_collection['members'] + uc_id = params['uc_id'] + uc = (collection for collection in g.user_session.user_collections if collection["id"] == uc_id).next() + traits = uc["members"] trait_obs = [] json_version = [] @@ -330,15 +217,24 @@ def view_collection(): json_version.append(trait.jsonable(trait_ob)) - if "uc_id" in params: - collection_info = dict(trait_obs=trait_obs, - uc = uc) - else: - collection_info = dict(trait_obs=trait_obs, - collection_name=this_collection['name']) + collection_info = dict(trait_obs=trait_obs, + uc = uc) + if "json" in params: return json.dumps(json_version) else: return render_template("collections/view.html", **collection_info - )
\ No newline at end of file + ) + +@app.route("/collections/change_name", methods=('POST',)) +def change_collection_name(): + params = request.form + + collection_id = params['collection_id'] + new_name = params['new_name'] + + g.user_session.change_collection_name(collection_id, new_name) + + return new_name + diff --git a/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py b/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py index b9e6f450..21eb1493 100644 --- a/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py +++ b/wqflask/wqflask/comparison_bar_chart/comparison_bar_chart.py @@ -35,7 +35,6 @@ import resource from pprint import pformat as pf -from htmlgen import HTMLgen2 as HT import reaper from base.trait import GeneralTrait diff --git a/wqflask/wqflask/correlation/corr_scatter_plot.py b/wqflask/wqflask/correlation/corr_scatter_plot.py index 831baf7e..dfb81c54 100644 --- a/wqflask/wqflask/correlation/corr_scatter_plot.py +++ b/wqflask/wqflask/correlation/corr_scatter_plot.py @@ -1,5 +1,9 @@ from __future__ import absolute_import, print_function, division +import math + +from flask import g + from base.trait import GeneralTrait from base import data_set from utility import corr_result_helpers @@ -33,20 +37,43 @@ class CorrScatterPlot(object): vals_2.append(samples_2[sample].value) self.data.append(vals_2) - x = np.array(vals_1) - y = np.array(vals_2) - slope, intercept, r_value, p_value, std_err = stats.linregress(x, y) + slope, intercept, r_value, p_value, std_err = stats.linregress(vals_1, vals_2) + + if slope < 0.001: + slope_string = '%.3E' % slope + else: + slope_string = '%.3f' % slope - rx = stats.rankdata(x) - ry = stats.rankdata(y) + x_buffer = (max(vals_1) - min(vals_1))*0.1 + y_buffer = (max(vals_2) - min(vals_2))*0.1 + + x_range = [min(vals_1) - x_buffer, max(vals_1) + x_buffer] + y_range = [min(vals_2) - y_buffer, max(vals_2) + y_buffer] + + intercept_coords = get_intercept_coords(slope, intercept, x_range, y_range) + + rx = stats.rankdata(vals_1) + ry = stats.rankdata(vals_2) self.rdata = [] self.rdata.append(rx.tolist()) self.rdata.append(ry.tolist()) srslope, srintercept, srr_value, srp_value, srstd_err = stats.linregress(rx, ry) - #vals_3 = [] - #for sample in self.trait_3.data: - # vals_3.append(self.trait_3.data[sample].value) + if srslope < 0.001: + srslope_string = '%.3E' % srslope + else: + srslope_string = '%.3f' % srslope + + x_buffer = (max(rx) - min(rx))*0.1 + y_buffer = (max(ry) - min(ry))*0.1 + + sr_range = [min(rx) - x_buffer, max(rx) + x_buffer] + + sr_intercept_coords = get_intercept_coords(srslope, srintercept, sr_range, sr_range) + + self.collections_exist = "False" + if g.user_session.num_collections > 0: + self.collections_exist = "True" self.js_data = dict( data = self.data, @@ -59,13 +86,20 @@ class CorrScatterPlot(object): num_overlap = num_overlap, vals_1 = vals_1, vals_2 = vals_2, + x_range = x_range, + y_range = y_range, + sr_range = sr_range, + intercept_coords = intercept_coords, + sr_intercept_coords = sr_intercept_coords, slope = slope, + slope_string = slope_string, intercept = intercept, r_value = r_value, p_value = p_value, srslope = srslope, + srslope_string = srslope_string, srintercept = srintercept, srr_value = srr_value, srp_value = srp_value @@ -74,3 +108,17 @@ class CorrScatterPlot(object): #vals_3 = vals_3 ) self.jsdata = self.js_data + + +def get_intercept_coords(slope, intercept, x_range, y_range): + intercept_coords = [] + + y1 = slope*x_range[0] + intercept + y2 = slope*x_range[1] + intercept + x1 = (y1-intercept)/slope + x2 = (y2-intercept)/slope + + intercept_coords.append([x1, y1]) + intercept_coords.append([x2, y2]) + + return intercept_coords
\ No newline at end of file diff --git a/wqflask/wqflask/correlation/show_corr_results.py b/wqflask/wqflask/correlation/show_corr_results.py index 9f3f7982..cc74c8e4 100644 --- a/wqflask/wqflask/correlation/show_corr_results.py +++ b/wqflask/wqflask/correlation/show_corr_results.py @@ -33,10 +33,15 @@ import resource import json import scipy +import numpy +import rpy2.robjects as ro # R Objects +import rpy2.rinterface as ri + +from rpy2.robjects.packages import importr +utils = importr("utils") from pprint import pformat as pf -from htmlgen import HTMLgen2 as HT import reaper from base import webqtlConfig @@ -44,14 +49,13 @@ from utility.THCell import THCell from utility.TDCell import TDCell from base.trait import GeneralTrait from base import data_set -from utility import webqtlUtil, helper_functions, corr_result_helpers +from utility import webqtlUtil, helper_functions, corr_result_helpers, hmac from db import webqtlDatabaseFunction import utility.webqtlUtil #this is for parallel computing only. from wqflask.correlation import correlation_functions from utility.benchmark import Bench import utility.webqtlUtil from utility.type_checking import is_float, is_int, is_str, get_float, get_int, get_string -from wqflask import user_manager from MySQLdb import escape_string as escape @@ -83,7 +87,7 @@ class CorrelationResults(object): assert('corr_sample_method' in start_vars) assert('corr_samples_group' in start_vars) assert('corr_dataset' in start_vars) - assert('min_expr' in start_vars) + #assert('min_expr' in start_vars) assert('corr_return_results' in start_vars) if 'loc_chr' in start_vars: assert('min_loc_mb' in start_vars) @@ -92,14 +96,14 @@ class CorrelationResults(object): with Bench("Doing correlations"): if start_vars['dataset'] == "Temp": self.dataset = data_set.create_dataset(dataset_name = "Temp", dataset_type = "Temp", group_name = start_vars['group']) - self.trait_id = "Temp" + self.trait_id = start_vars['trait_id'] self.this_trait = GeneralTrait(dataset=self.dataset, name=self.trait_id, cellid=None) else: helper_functions.get_species_dataset_trait(self, start_vars) - self.dataset.group.read_genotype_file() + #self.dataset.group.read_genotype_file() corr_samples_group = start_vars['corr_samples_group'] @@ -117,6 +121,8 @@ class CorrelationResults(object): self.location_chr = get_string(start_vars,'loc_chr') self.min_location_mb = get_int(start_vars,'min_loc_mb') self.max_location_mb = get_int(start_vars,'max_loc_mb') + else: + self.location_chr = self.min_location_mb = self.max_location_mb = None self.get_formatted_corr_type() self.return_number = int(start_vars['corr_return_results']) @@ -146,6 +152,15 @@ class CorrelationResults(object): self.target_dataset = data_set.create_dataset(start_vars['corr_dataset']) self.target_dataset.get_trait_data(self.sample_data.keys()) + self.header_fields = get_header_fields(self.target_dataset.type, self.corr_method) + + if self.target_dataset.type == "ProbeSet": + self.filter_cols = [7, 6] + elif self.target_dataset.type == "Publish": + self.filter_cols = [6, 0] + else: + self.filter_cols = [4, 0] + self.correlation_results = [] self.correlation_data = {} @@ -175,13 +190,13 @@ class CorrelationResults(object): self.correlation_data = collections.OrderedDict(sorted(self.correlation_data.items(), key=lambda t: -abs(t[1][0]))) - if self.target_dataset.type == "ProbeSet" or self.target_dataset.type == "Geno": #ZS: Convert min/max chromosome to an int for the location range option range_chr_as_int = None for order_id, chr_info in self.dataset.species.chromosomes.chromosomes.iteritems(): - if chr_info.name == self.location_chr: - range_chr_as_int = order_id + if 'loc_chr' in start_vars: + if chr_info.name == self.location_chr: + range_chr_as_int = order_id for _trait_counter, trait in enumerate(self.correlation_data.keys()[:self.return_number]): trait_object = GeneralTrait(dataset=self.target_dataset, name=trait, get_qtl_info=True, get_sample_info=False) @@ -207,35 +222,20 @@ class CorrelationResults(object): elif (self.max_location_mb != None) and (float(trait_object.mb) > float(self.max_location_mb)): continue - (trait_object.sample_r, - trait_object.sample_p, - trait_object.num_overlap) = self.correlation_data[trait] - - # Set some sane defaults - trait_object.tissue_corr = 0 - trait_object.tissue_pvalue = 0 - trait_object.lit_corr = 0 - if self.corr_type == "tissue" and tissue_corr_data != None: - trait_object.tissue_corr = tissue_corr_data[trait][1] - trait_object.tissue_pvalue = tissue_corr_data[trait][2] - elif self.corr_type == "lit": - trait_object.lit_corr = lit_corr_data[trait][1] - self.correlation_results.append(trait_object) - else: - (trait_object.sample_r, - trait_object.sample_p, - trait_object.num_overlap) = self.correlation_data[trait] - - # Set some sane defaults - trait_object.tissue_corr = 0 - trait_object.tissue_pvalue = 0 - trait_object.lit_corr = 0 - if self.corr_type == "tissue": - trait_object.tissue_corr = tissue_corr_data[trait][1] - trait_object.tissue_pvalue = tissue_corr_data[trait][2] - elif self.corr_type == "lit": - trait_object.lit_corr = lit_corr_data[trait][1] - self.correlation_results.append(trait_object) + (trait_object.sample_r, + trait_object.sample_p, + trait_object.num_overlap) = self.correlation_data[trait] + + # Set some sane defaults + trait_object.tissue_corr = 0 + trait_object.tissue_pvalue = 0 + trait_object.lit_corr = 0 + if self.corr_type == "tissue" and tissue_corr_data != None: + trait_object.tissue_corr = tissue_corr_data[trait][1] + trait_object.tissue_pvalue = tissue_corr_data[trait][2] + elif self.corr_type == "lit": + trait_object.lit_corr = lit_corr_data[trait][1] + self.correlation_results.append(trait_object) self.target_dataset.get_trait_info(self.correlation_results, self.target_dataset.group.species) @@ -262,6 +262,8 @@ class CorrelationResults(object): self.formatted_corr_type += "(Pearson's r)" elif self.corr_method == "spearman": self.formatted_corr_type += "(Spearman's rho)" + elif self.corr_method == "bicor": + self.formatted_corr_type += "(Biweight r)" def do_tissue_correlation_for_trait_list(self, tissue_dataset_id=1): """Given a list of correlation results (self.correlation_results), gets the tissue correlation value for each""" @@ -450,13 +452,18 @@ class CorrelationResults(object): self.this_trait_vals, target_vals, num_overlap = corr_result_helpers.normalize_values(self.this_trait_vals, target_vals) #ZS: 2015 could add biweight correlation, see http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465711/ - if self.corr_method == 'pearson': + if self.corr_method == 'bicor': + sample_r, sample_p = do_bicor(self.this_trait_vals, target_vals) + elif self.corr_method == 'pearson': sample_r, sample_p = scipy.stats.pearsonr(self.this_trait_vals, target_vals) else: sample_r, sample_p = scipy.stats.spearmanr(self.this_trait_vals, target_vals) if num_overlap > 5: - self.correlation_data[trait] = [sample_r, sample_p, num_overlap] + if numpy.isnan(sample_r): + pass + else: + self.correlation_data[trait] = [sample_r, sample_p, num_overlap] def process_samples(self, start_vars, sample_names, excluded_samples=None): if not excluded_samples: @@ -470,13 +477,32 @@ class CorrelationResults(object): if not value.strip().lower() == 'x': self.sample_data[str(sample)] = float(value) -def generate_corr_json(corr_results, this_trait, dataset, target_dataset): +def do_bicor(this_trait_vals, target_trait_vals): + r_library = ro.r["library"] # Map the library function + r_options = ro.r["options"] # Map the options function + + r_library("WGCNA") + r_bicor = ro.r["bicorAndPvalue"] # Map the bicorAndPvalue function + + r_options(stringsAsFactors = False) + + this_vals = ro.Vector(this_trait_vals) + target_vals = ro.Vector(target_trait_vals) + + the_r, the_p, _fisher_transform, _the_t, _n_obs = [numpy.asarray(x) for x in r_bicor(x = this_vals, y = target_vals)] + + return the_r, the_p + +def generate_corr_json(corr_results, this_trait, dataset, target_dataset, for_api = False): results_list = [] for i, trait in enumerate(corr_results): results_dict = {} - results_dict['checkbox'] = "<INPUT TYPE='checkbox' NAME='searchResult' class='checkbox trait_checkbox' style='padding-right: 0px;' VALUE='" + user_manager.data_hmac('{}:{}'.format(trait.name, trait.dataset.name)) + "'>" - results_dict['index'] = i + 1 - results_dict['trait_id'] = "<a href='/show_trait?trait_id="+str(trait.name)+"&dataset="+str(dataset.name)+"'>"+str(trait.name)+"</a>" + if not for_api: + results_dict['checkbox'] = "<INPUT TYPE='checkbox' NAME='searchResult' class='checkbox trait_checkbox' style='padding-right: 0px;' VALUE='" + hmac.hmac_creation('{}:{}'.format(trait.name, trait.dataset.name)) + "'>" + results_dict['index'] = i + 1 + results_dict['trait_id'] = "<a href='/show_trait?trait_id="+str(trait.name)+"&dataset="+str(dataset.name)+"'>"+str(trait.name)+"</a>" + else: + results_dict['trait_id'] = trait.name if target_dataset.type == "ProbeSet": results_dict['symbol'] = trait.symbol results_dict['description'] = trait.description_display @@ -491,7 +517,10 @@ def generate_corr_json(corr_results, this_trait, dataset, target_dataset): results_dict['additive'] = "%0.3f" % float(trait.additive) else: results_dict['additive'] = "N/A" - results_dict['sample_r'] = "<a target='_blank' href='corr_scatter_plot?dataset_1=" + str(dataset.name) + "&dataset_2=" + str(trait.dataset.name) + "&trait_1=" + str(this_trait.name) + "&trait_2=" + str(trait.name) + "'>" + "%0.3f" % float(trait.sample_r) + "</a>" + if for_api: + results_dict['sample_r'] = "%0.3f" % float(trait.sample_r) + else: + results_dict['sample_r'] = "<a target='_blank' href='corr_scatter_plot?dataset_1=" + str(dataset.name) + "&dataset_2=" + str(trait.dataset.name) + "&trait_1=" + str(this_trait.name) + "&trait_2=" + str(trait.name) + "'>" + "%0.3f" % float(trait.sample_r) + "</a>" results_dict['num_overlap'] = trait.num_overlap results_dict['sample_p'] = "%0.3e" % float(trait.sample_p) if trait.lit_corr == "" or trait.lit_corr == 0: @@ -506,24 +535,116 @@ def generate_corr_json(corr_results, this_trait, dataset, target_dataset): results_dict['description'] = trait.description_display results_dict['authors'] = trait.authors if trait.pubmed_id: - results_dict['pubmed'] = "<a href='" + trait.pubmed_link + "'> " + trait.pubmed_text + "</a>" + if for_api: + results_dict['pubmed_id'] = trait.pubmed_id + results_dict['year'] = trait.pubmed_text + else: + results_dict['pubmed'] = "<a href='" + trait.pubmed_link + "'> " + trait.pubmed_text + "</a>" else: - results_dict['pubmed'] = "N/A" + if for_api: + results_dict['pubmed_id'] = "N/A" + results_dict['year'] = "N/A" + else: + results_dict['pubmed'] = "N/A" results_dict['lrs_score'] = trait.LRS_score_repr results_dict['lrs_location'] = trait.LRS_location_repr if trait.additive != "": results_dict['additive'] = "%0.3f" % float(trait.additive) else: results_dict['additive'] = "N/A" - results_dict['sample_r'] = "<a target='_blank' href='corr_scatter_plot?dataset_1=" + str(dataset.name) + "&dataset_2=" + str(trait.dataset.name) + "&trait_1=" + str(this_trait.name) + "&trait_2=" + str(trait.name) + "'>" + "%0.3f" % trait.sample_r + "</a>" + if for_api: + results_dict['sample_r'] = "%0.3f" % trait.sample_r + else: + results_dict['sample_r'] = "<a target='_blank' href='corr_scatter_plot?dataset_1=" + str(dataset.name) + "&dataset_2=" + str(trait.dataset.name) + "&trait_1=" + str(this_trait.name) + "&trait_2=" + str(trait.name) + "'>" + "%0.3f" % trait.sample_r + "</a>" results_dict['num_overlap'] = trait.num_overlap results_dict['sample_p'] = "%0.3e" % float(trait.sample_p) else: results_dict['lrs_location'] = trait.LRS_location_repr - results_dict['sample_r'] = "<a target='_blank' href='corr_scatter_plot?dataset_1=" + str(dataset.name) + "&dataset_2=" + str(trait.dataset.name) + "&trait_1=" + str(this_trait.name) + "&trait_2=" + str(trait.name) + "'>" + "%0.3f" % float(trait.sample_r) + "</a>" + if for_api: + results_dict['sample_r'] = "%0.3f" % trait.sample_r + else: + results_dict['sample_r'] = "<a target='_blank' href='corr_scatter_plot?dataset_1=" + str(dataset.name) + "&dataset_2=" + str(trait.dataset.name) + "&trait_1=" + str(this_trait.name) + "&trait_2=" + str(trait.name) + "'>" + "%0.3f" % float(trait.sample_r) + "</a>" results_dict['num_overlap'] = trait.num_overlap results_dict['sample_p'] = "%0.3e" % float(trait.sample_p) results_list.append(results_dict) return json.dumps(results_list) + +def get_header_fields(data_type, corr_method): + if data_type == "ProbeSet": + if corr_method == "spearman": + header_fields = ['Index', + 'Record', + 'Symbol', + 'Description', + 'Location', + 'Mean', + 'Sample rho', + 'N', + 'Sample p(rho)', + 'Lit rho', + 'Tissue rho', + 'Tissue p(rho)', + 'Max LRS', + 'Max LRS Location', + 'Additive Effect'] + else: + header_fields = ['Index', + 'Record', + 'Symbol', + 'Description', + 'Location', + 'Mean', + 'Sample r', + 'N', + 'Sample p(r)', + 'Lit r', + 'Tissue r', + 'Tissue p(r)', + 'Max LRS', + 'Max LRS Location', + 'Additive Effect'] + elif data_type == "Publish": + if corr_method == "spearman": + header_fields = ['Index', + 'Record', + 'Description', + 'Authors', + 'Year', + 'Sample rho', + 'N', + 'Sample p(rho)', + 'Max LRS', + 'Max LRS Location', + 'Additive Effect'] + else: + header_fields = ['Index', + 'Record', + 'Description', + 'Authors', + 'Year', + 'Sample r', + 'N', + 'Sample p(r)', + 'Max LRS', + 'Max LRS Location', + 'Additive Effect'] + + else: + if corr_method == "spearman": + header_fields = ['Index', + 'ID', + 'Location', + 'Sample rho', + 'N', + 'Sample p(rho)'] + else: + header_fields = ['Index', + 'ID', + 'Location', + 'Sample r', + 'N', + 'Sample p(r)'] + + return header_fields
\ No newline at end of file diff --git a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py index 4bb4d65d..b5c45d05 100644 --- a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py +++ b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py @@ -26,14 +26,13 @@ import sys import string import cPickle import os +import datetime import time import pp import math import collections import resource -import numarray -import numarray.linear_algebra as la import numpy as np import scipy @@ -42,9 +41,11 @@ import rpy2.robjects as robjects from pprint import pformat as pf -from htmlgen import HTMLgen2 as HT import reaper +import redis +Redis = redis.StrictRedis() + from utility.THCell import THCell from utility.TDCell import TDCell from base.trait import GeneralTrait @@ -59,8 +60,10 @@ from MySQLdb import escape_string as escape from pprint import pformat as pf -from flask import Flask, g +from flask import Flask, g, url_for +import utility.logger +logger = utility.logger.getLogger(__name__ ) class CorrelationMatrix(object): @@ -72,6 +75,7 @@ class CorrelationMatrix(object): self.all_sample_list = [] self.traits = [] self.insufficient_shared_samples = False + self.do_PCA = True this_group = self.trait_list[0][1].group.name #ZS: Getting initial group name before verifying all traits are in the same group in the following loop for trait_db in self.trait_list: if trait_db[1].group.name != this_group: @@ -104,13 +108,13 @@ class CorrelationMatrix(object): self.sample_data.append(this_trait_vals) if len(this_trait_vals) < len(self.trait_list): #Shouldn't do PCA if there are more traits than observations/samples - return False + self.do_PCA = False self.lowest_overlap = 8 #ZS: Variable set to the lowest overlapping samples in order to notify user, or 8, whichever is lower (since 8 is when we want to display warning) self.corr_results = [] self.pca_corr_results = [] - self.trait_data_array = [] + self.shared_samples_list = self.all_sample_list for trait_db in self.trait_list: this_trait = trait_db[0] this_db = trait_db[1] @@ -118,13 +122,6 @@ class CorrelationMatrix(object): this_db_samples = this_db.group.all_samples_ordered() this_sample_data = this_trait.data - this_trait_vals = [] - for index, sample in enumerate(this_db_samples): - if (sample in this_sample_data): - sample_value = this_sample_data[sample].value - this_trait_vals.append(sample_value) - self.trait_data_array.append(this_trait_vals) - corr_result_row = [] pca_corr_result_row = [] is_spearman = False #ZS: To determine if it's above or below the diagonal @@ -142,6 +139,9 @@ class CorrelationMatrix(object): target_sample_value = target_sample_data[sample].value this_trait_vals.append(sample_value) target_vals.append(target_sample_value) + else: + if sample in self.shared_samples_list: + self.shared_samples_list.remove(sample) this_trait_vals, target_vals, num_overlap = corr_result_helpers.normalize_values(this_trait_vals, target_vals) @@ -165,7 +165,21 @@ class CorrelationMatrix(object): self.corr_results.append(corr_result_row) self.pca_corr_results.append(pca_corr_result_row) - corr_result_eigen = la.eigenvectors(numarray.array(self.pca_corr_results)) + self.trait_data_array = [] + for trait_db in self.trait_list: + this_trait = trait_db[0] + this_db = trait_db[1] + this_db_samples = this_db.group.all_samples_ordered() + this_sample_data = this_trait.data + + this_trait_vals = [] + for index, sample in enumerate(this_db_samples): + if (sample in this_sample_data) and (sample in self.shared_samples_list): + sample_value = this_sample_data[sample].value + this_trait_vals.append(sample_value) + self.trait_data_array.append(this_trait_vals) + + corr_result_eigen = np.linalg.eig(np.array(self.pca_corr_results)) corr_eigen_value, corr_eigen_vectors = sortEigenVectors(corr_result_eigen) groups = [] @@ -173,9 +187,13 @@ class CorrelationMatrix(object): groups.append(1) try: - self.pca_works = "True" - pca = self.calculate_pca(range(len(self.traits)), corr_eigen_value, corr_eigen_vectors) - self.loadings_array = self.process_loadings() + if self.do_PCA == True: + self.pca_works = "True" + self.pca_trait_ids = [] + pca = self.calculate_pca(range(len(self.traits)), corr_eigen_value, corr_eigen_vectors) + self.loadings_array = self.process_loadings() + else: + self.pca_works = "False" except: self.pca_works = "False" @@ -201,9 +219,6 @@ class CorrelationMatrix(object): cellid=None) self.trait_list.append((trait_ob, dataset_ob)) - #print("trait_list:", self.trait_list) - - def calculate_pca(self, cols, corr_eigen_value, corr_eigen_vectors): base = importr('base') stats = importr('stats') @@ -218,15 +233,33 @@ class CorrelationMatrix(object): self.scale = pca.rx('scale') trait_array = zScore(self.trait_data_array) - trait_array = np.array(trait_array) trait_array_vectors = np.dot(corr_eigen_vectors, trait_array) pca_traits = [] for i, vector in enumerate(trait_array_vectors): - if corr_eigen_value[i-1] < 100.0/len(self.trait_list): - pca_traits.append(vector*-1.0) + #ZS: Check if below check is necessary + #if corr_eigen_value[i-1] > 100.0/len(self.trait_list): + pca_traits.append((vector*-1.0).tolist()) + + this_group_name = self.trait_list[0][1].group.name + temp_dataset = data_set.create_dataset(dataset_name = "Temp", dataset_type = "Temp", group_name = this_group_name) + temp_dataset.group.get_samplelist() + for i, pca_trait in enumerate(pca_traits): + trait_id = "PCA" + str(i+1) + "_" + temp_dataset.group.species + "_" + this_group_name + "_" + datetime.datetime.now().strftime("%m%d%H%M%S") + this_vals_string = "" + position = 0 + for sample in temp_dataset.group.all_samples_ordered(): + if sample in self.shared_samples_list: + this_vals_string += str(pca_trait[position]) + this_vals_string += " " + position += 1 + else: + this_vals_string += "x " + this_vals_string = this_vals_string[:-1] + + Redis.set(trait_id, this_vals_string) + self.pca_trait_ids.append(trait_id) - print("pca_traits:", pca_traits) return pca def process_loadings(self): @@ -267,7 +300,7 @@ def zScore(trait_data_array): def sortEigenVectors(vector): try: eigenValues = vector[0].tolist() - eigenVectors = vector[1].tolist() + eigenVectors = vector[1].T.tolist() combines = [] i = 0 for item in eigenValues: @@ -281,6 +314,6 @@ def sortEigenVectors(vector): B.append(item[1]) sum = reduce(lambda x,y: x+y, A, 0.0) A = map(lambda x:x*100.0/sum, A) - return [A,B] + return [A, B] except: return []
\ No newline at end of file diff --git a/wqflask/wqflask/ctl/ctl_analysis.py b/wqflask/wqflask/ctl/ctl_analysis.py index 6fda02fd..4415b86a 100644 --- a/wqflask/wqflask/ctl/ctl_analysis.py +++ b/wqflask/wqflask/ctl/ctl_analysis.py @@ -20,7 +20,7 @@ from base import data_set from base import trait as TRAIT from utility import helper_functions -from utility.tools import locate +from utility.tools import locate, GN2_BRANCH_URL from rpy2.robjects.packages import importr @@ -56,6 +56,8 @@ class CTL(object): self.edges_list = [] logger.info("Obtained pointers to CTL functions") + self.gn2_url = GN2_BRANCH_URL + def addNode(self, gt): node_dict = { 'data' : {'id' : str(gt.name) + ":" + str(gt.dataset.name), 'sid' : str(gt.name), diff --git a/wqflask/wqflask/database.py b/wqflask/wqflask/database.py index 96c2c301..adeed6ad 100644 --- a/wqflask/wqflask/database.py +++ b/wqflask/wqflask/database.py @@ -9,7 +9,7 @@ import utility.logger logger = utility.logger.getLogger(__name__ ) -engine = create_engine(SQL_URI, convert_unicode=True) +engine = create_engine(SQL_URI, encoding="latin1") db_session = scoped_session(sessionmaker(autocommit=False, autoflush=False, diff --git a/wqflask/wqflask/do_search.py b/wqflask/wqflask/do_search.py index c7dbc972..b0ca5ced 100644 --- a/wqflask/wqflask/do_search.py +++ b/wqflask/wqflask/do_search.py @@ -1,6 +1,8 @@ from __future__ import print_function, division import string +import requests +import json from flask import Flask, g @@ -11,6 +13,7 @@ import sys # sys.path.append("..") Never in a running webserver from db import webqtlDatabaseFunction +from utility.tools import GN2_BASE_URL import logging from utility.logger import getLogger @@ -22,17 +25,19 @@ class DoSearch(object): # Used to translate search phrases into classes search_types = dict() - def __init__(self, search_term, search_operator=None, dataset=None): + def __init__(self, search_term, search_operator=None, dataset=None, search_type=None): self.search_term = search_term # Make sure search_operator is something we expect assert search_operator in (None, "=", "<", ">", "<=", ">="), "Bad search operator" self.search_operator = search_operator self.dataset = dataset + self.search_type = search_type if self.dataset: logger.debug("self.dataset is boo: ", type(self.dataset), pf(self.dataset)) logger.debug("self.dataset.group is: ", pf(self.dataset.group)) #Get group information for dataset and the species id + self.species_id = webqtlDatabaseFunction.retrieve_species_id(self.dataset.group.name) def execute(self, query): @@ -44,8 +49,8 @@ class DoSearch(object): def handle_wildcard(self, str): keyword = str.strip() - keyword.replace("*",".*") - keyword.replace("?",".") + keyword = keyword.replace("*",".*") + keyword = keyword.replace("?",".") return keyword @@ -69,7 +74,7 @@ class DoSearch(object): logger.debug("search_types are:", pf(cls.search_types)) search_type_string = search_type['dataset_type'] - if 'key' in search_type: + if 'key' in search_type and search_type['key'] != None: search_type_string += '_' + search_type['key'] logger.debug("search_type_string is:", search_type_string) @@ -105,18 +110,34 @@ class MrnaAssaySearch(DoSearch): 'Max LRS Location', 'Additive Effect'] + def get_alias_where_clause(self): + search_string = escape(self.search_term[0]) + + if self.search_term[0] != "*": + match_clause = """((MATCH (ProbeSet.symbol) AGAINST ('%s' IN BOOLEAN MODE))) and """ % (search_string) + else: + match_clause = "" + + where_clause = (match_clause + + """ProbeSet.Id = ProbeSetXRef.ProbeSetId + and ProbeSetXRef.ProbeSetFreezeId = %s + """ % (escape(str(self.dataset.id)))) + + return where_clause + def get_where_clause(self): + search_string = escape(self.search_term[0]) if self.search_term[0] != "*": - match_clause = """(MATCH (ProbeSet.Name, + match_clause = """((MATCH (ProbeSet.Name, ProbeSet.description, ProbeSet.symbol, alias, GenbankId, UniGeneId, Probe_Target_Description) - AGAINST ('%s' IN BOOLEAN MODE)) and - """ % (escape(self.search_term[0])) + AGAINST ('%s' IN BOOLEAN MODE))) AND + """ % (search_string) else: match_clause = "" @@ -198,6 +219,7 @@ class PhenotypeSearch(DoSearch): header_fields = ['Index', 'Record', 'Description', + 'Mean', 'Authors', 'Year', 'Max LRS', @@ -209,8 +231,12 @@ class PhenotypeSearch(DoSearch): #Todo: Zach will figure out exactly what both these lines mean #and comment here - if "'" not in self.search_term[0]: - search_term = "[[:<:]]" + self.handle_wildcard(self.search_term[0]) + "[[:>:]]" + + #if "'" not in self.search_term[0]: + search_term = "[[:<:]]" + self.handle_wildcard(self.search_term[0]) + "[[:>:]]" + if "_" in self.search_term[0]: + if len(self.search_term[0].split("_")[0]) == 3: + search_term = "[[:<:]]" + self.handle_wildcard(self.search_term[0].split("_")[1]) + "[[:>:]]" # This adds a clause to the query that matches the search term # against each field in the search_fields tuple @@ -232,7 +258,8 @@ class PhenotypeSearch(DoSearch): WHERE PublishXRef.InbredSetId = %s and PublishXRef.PhenotypeId = Phenotype.Id and PublishXRef.PublicationId = Publication.Id - and PublishFreeze.Id = %s""" % ( + and PublishFreeze.Id = %s + ORDER BY PublishXRef.Id""" % ( from_clause, escape(str(self.dataset.group.id)), escape(str(self.dataset.id)))) @@ -243,7 +270,8 @@ class PhenotypeSearch(DoSearch): and PublishXRef.InbredSetId = %s and PublishXRef.PhenotypeId = Phenotype.Id and PublishXRef.PublicationId = Publication.Id - and PublishFreeze.Id = %s""" % ( + and PublishFreeze.Id = %s + ORDER BY PublishXRef.Id""" % ( from_clause, where_clause, escape(str(self.dataset.group.id)), @@ -444,15 +472,18 @@ class LrsSearch(DoSearch): """ - DoSearch.search_types['LRS'] = 'LrsSearch' + for search_key in ('LRS', 'LOD'): + DoSearch.search_types[search_key] = "LrsSearch" def get_from_clause(self): - #If the user typed, for example "Chr4", the "Chr" substring needs to be removed so that all search elements can be converted to floats - if len(self.search_term) > 2 and "Chr" in self.search_term[2]: - chr_num = self.search_term[2].replace("Chr", "") - self.search_term[2] = chr_num + converted_search_term = [] + for value in self.search_term: + try: + converted_search_term.append(float(value)) + except: + converted_search_term.append(value) - self.search_term = [float(value) for value in self.search_term] + self.search_term = converted_search_term if len(self.search_term) > 2: from_clause = ", Geno" @@ -465,6 +496,9 @@ class LrsSearch(DoSearch): if self.search_operator == "=": assert isinstance(self.search_term, (list, tuple)) lrs_min, lrs_max = self.search_term[:2] + if self.search_type == "LOD": + lrs_min = lrs_min*4.61 + lrs_max = lrs_max*4.61 where_clause = """ %sXRef.LRS > %s and %sXRef.LRS < %s """ % self.mescape(self.dataset.type, @@ -473,8 +507,12 @@ class LrsSearch(DoSearch): max(lrs_min, lrs_max)) if len(self.search_term) > 2: + #If the user typed, for example "Chr4", the "Chr" substring needs to be removed so that all search elements can be converted to floats chr_num = self.search_term[2] - where_clause += """ and Geno.Chr = %s """ % (chr_num) + if "chr" in self.search_term[2].lower(): + chr_num = self.search_term[2].lower().replace("chr", "") + self.search_term[2] = chr_num + where_clause += """ and Geno.Chr = '%s' """ % (chr_num) if len(self.search_term) == 5: mb_low, mb_high = self.search_term[3:] where_clause += """ and Geno.Mb > %s and @@ -489,6 +527,10 @@ class LrsSearch(DoSearch): else: # Deal with >, <, >=, and <= logger.debug("self.search_term is:", self.search_term) + lrs_val = self.search_term[0] + if self.search_type == "LOD": + lrs_val = lrs_val*4.61 + where_clause = """ %sXRef.LRS %s %s """ % self.mescape(self.dataset.type, self.search_operator, self.search_term[0]) @@ -505,12 +547,13 @@ class LrsSearch(DoSearch): return self.execute(self.query) + class MrnaLrsSearch(LrsSearch, MrnaAssaySearch): - DoSearch.search_types['ProbeSet_LRS'] = 'MrnaLrsSearch' + for search_key in ('LRS', 'LOD'): + DoSearch.search_types['ProbeSet_' + search_key] = "MrnaLrsSearch" def run(self): - self.from_clause = self.get_from_clause() self.where_clause = self.get_where_clause() @@ -520,7 +563,8 @@ class MrnaLrsSearch(LrsSearch, MrnaAssaySearch): class PhenotypeLrsSearch(LrsSearch, PhenotypeSearch): - DoSearch.search_types['Publish_LRS'] = 'PhenotypeLrsSearch' + for search_key in ('LRS', 'LOD'): + DoSearch.search_types['Publish_' + search_key] = "PhenotypeLrsSearch" def run(self): @@ -532,31 +576,39 @@ class PhenotypeLrsSearch(LrsSearch, PhenotypeSearch): return self.execute(self.query) - class CisTransLrsSearch(DoSearch): def get_from_clause(self): return ", Geno" def get_where_clause(self, cis_trans): - self.search_term = [float(value) for value in self.search_term] self.mb_buffer = 5 # default + chromosome = None if cis_trans == "cis": the_operator = "<" else: the_operator = ">" if self.search_operator == "=": + if len(self.search_term) == 2 or len(self.search_term) == 3: + self.search_term = [float(value) for value in self.search_term] if len(self.search_term) == 2: lrs_min, lrs_max = self.search_term #[int(value) for value in self.search_term] - elif len(self.search_term) == 3: lrs_min, lrs_max, self.mb_buffer = self.search_term - + elif len(self.search_term) == 4: + lrs_min, lrs_max, self.mb_buffer = [float(value) for value in self.search_term[:3]] + chromosome = self.search_term[3] + if "Chr" in chromosome or "chr" in chromosome: + chromosome = int(chromosome[3:]) else: SomeError + if self.search_type == "CISLOD" or self.search_type == "TRANSLOD": + lrs_min = lrs_min * 4.61 + lrs_max = lrs_max * 4.61 + sub_clause = """ %sXRef.LRS > %s and %sXRef.LRS < %s and """ % ( escape(self.dataset.type), @@ -586,18 +638,24 @@ class CisTransLrsSearch(DoSearch): escape(self.dataset.type) ) else: + if chromosome: + location_clause = "(%s.Chr = '%s' and %s.Chr = Geno.Chr and ABS(%s.Mb-Geno.Mb) %s %s) or (%s.Chr != Geno.Chr and Geno.Chr = '%s')" % (escape(self.dataset.type), + chromosome, + escape(self.dataset.type), + escape(self.dataset.type), + the_operator, + escape(str(self.mb_buffer)), + escape(self.dataset.type), + chromosome) + else: + location_clause = "(ABS(%s.Mb-Geno.Mb) %s %s and %s.Chr = Geno.Chr) or (%s.Chr != Geno.Chr)" % (escape(self.dataset.type), the_operator, escape(str(self.mb_buffer)), escape(self.dataset.type)) where_clause = sub_clause + """ %sXRef.Locus = Geno.name and Geno.SpeciesId = %s and - ((ABS(%s.Mb-Geno.Mb) %s %s and %s.Chr = Geno.Chr) or - (%s.Chr != Geno.Chr))""" % ( + (%s)""" % ( escape(self.dataset.type), escape(str(self.species_id)), - escape(self.dataset.type), - the_operator, - escape(str(self.mb_buffer)), - escape(self.dataset.type), - escape(self.dataset.type) + location_clause ) return where_clause @@ -619,7 +677,8 @@ class CisLrsSearch(CisTransLrsSearch, MrnaAssaySearch): """ - DoSearch.search_types['ProbeSet_CISLRS'] = 'CisLrsSearch' + for search_key in ('LRS', 'LOD'): + DoSearch.search_types['ProbeSet_CIS'+search_key] = "CisLrsSearch" def get_where_clause(self): return CisTransLrsSearch.get_where_clause(self, "cis") @@ -648,7 +707,8 @@ class TransLrsSearch(CisTransLrsSearch, MrnaAssaySearch): """ - DoSearch.search_types['ProbeSet_TRANSLRS'] = 'TransLrsSearch' + for search_key in ('LRS', 'LOD'): + DoSearch.search_types['ProbeSet_TRANS'+search_key] = "TransLrsSearch" def get_where_clause(self): return CisTransLrsSearch.get_where_clause(self, "trans") @@ -742,7 +802,7 @@ class PositionSearch(DoSearch): self.chr = str(chr).lower() self.get_chr() - where_clause = """ %s.Chr = %s and + where_clause = """ %s.Chr = '%s' and %s.Mb > %s and %s.Mb < %s """ % self.mescape(self.dataset.type, self.chr, @@ -851,6 +911,29 @@ def is_number(s): except ValueError: return False +def get_aliases(symbol, species): + if species == "mouse": + symbol_string = symbol.capitalize() + elif species == "human": + symbol_string = symbol.upper() + else: + return [] + + filtered_aliases = [] + response = requests.get(GN2_BASE_URL + "/gn3/gene/aliases/" + symbol_string) + if response: + alias_list = json.loads(response.content) + + seen = set() + for item in alias_list: + if item in seen: + continue + else: + filtered_aliases.append(item) + seen.add(item) + + return filtered_aliases + if __name__ == "__main__": ### Usually this will be used as a library, but call it from the command line for testing ### And it runs the code below diff --git a/wqflask/wqflask/docs.py b/wqflask/wqflask/docs.py index a8363a1f..0187f32e 100644 --- a/wqflask/wqflask/docs.py +++ b/wqflask/wqflask/docs.py @@ -2,9 +2,12 @@ from __future__ import absolute_import, print_function, division from flask import g +from utility.logger import getLogger +logger = getLogger(__name__) + class Docs(object): - def __init__(self, entry): + def __init__(self, entry, start_vars={}): sql = """ SELECT Docs.title, Docs.content FROM Docs @@ -12,5 +15,29 @@ class Docs(object): """ result = g.db.execute(sql, str(entry)).fetchone() self.entry = entry - self.title = result[0] - self.content = result[1] + if result == None: + self.title = self.entry.capitalize() + self.content = "" + else: + self.title = result[0] + self.content = result[1] + + self.editable = "false" + # ZS: Removing option to edit to see if text still gets vandalized + try: + if g.user_session.record['user_email_address'] == "zachary.a.sloan@gmail.com" or g.user_session.record['user_email_address'] == "labwilliams@gmail.com": + self.editable = "true" + except: + pass + + +def update_text(start_vars): + content = start_vars['ckcontent'] + content = content.replace('%', '%%').replace('"', '\\"').replace("'", "\\'") + + try: + if g.user_session.record['user_email_address'] == "zachary.a.sloan@gmail.com" or g.user_session.record['user_email_address'] == "labwilliams@gmail.com": + sql = "UPDATE Docs SET content='{0}' WHERE entry='{1}';".format(content, start_vars['entry_type']) + g.db.execute(sql) + except: + pass
\ No newline at end of file diff --git a/wqflask/wqflask/export_traits.py b/wqflask/wqflask/export_traits.py index ab4c0d7c..2d96c05a 100644 --- a/wqflask/wqflask/export_traits.py +++ b/wqflask/wqflask/export_traits.py @@ -18,23 +18,41 @@ def export_search_results_csv(targs): buff = StringIO.StringIO() writer = csv.writer(buff) + if 'file_name' in targs: + file_name = targs['file_name'] + else: + file_name = "table_export.csv" + metadata = [] - metadata.append(["Citations: Please see www.genenetwork.org/reference.html"]) - if targs['database_name'] != "None": - metadata.append(["Database: " + targs['database_name']]) - metadata.append(["Date: " + datetime.datetime.now().strftime("%B %d, %Y")]) - metadata.append(["Time: " + datetime.datetime.now().strftime("%H:%M GMT")]) - metadata.append(["Status of data ownership: Possibly unpublished data; please see www.genenetwork.org/statusandContact.html for details on sources, ownership, and usage of these data."]) + if 'database_name' in targs: + if targs['database_name'] != "None": + metadata.append(["Data Set: " + targs['database_name']]) + if 'accession_id' in targs: + if targs['accession_id'] != "None": + metadata.append(["Metadata Link: http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&GN_AccessionId=" + targs['accession_id']]) + metadata.append(["Export Date: " + datetime.datetime.now().strftime("%B %d, %Y")]) + metadata.append(["Export Time: " + datetime.datetime.now().strftime("%H:%M GMT")]) + if 'search_string' in targs: + if targs['search_string'] != "None": + metadata.append(["Search Query: " + targs['search_string']]) + if 'filter_term' in targs: + if targs['filter_term'] != "None": + metadata.append(["Search Filter Terms: " + targs['filter_term']]) + metadata.append(["Exported Row Number: " + str(len(table_rows))]) for metadata_row in metadata: writer.writerow(metadata_row) + writer.writerow([]) + writer.writerow(table_headers) for trait_info in table_rows: writer.writerow(trait_info) + writer.writerow([]) + writer.writerow(["Funding for The GeneNetwork: NIAAA (U01AA13499, U24AA13513), NIDA, NIMH, and NIAAA (P20-DA21131), NCI MMHCC (U01CA105417), and NCRR (U01NR 105417)"]) csv_data = buff.getvalue() buff.close() - return csv_data
\ No newline at end of file + return csv_data, file_name
\ No newline at end of file diff --git a/wqflask/wqflask/external_tools/__init__.py b/wqflask/wqflask/external_tools/__init__.py new file mode 100644 index 00000000..e69de29b --- /dev/null +++ b/wqflask/wqflask/external_tools/__init__.py diff --git a/wqflask/wqflask/external_tools/send_to_bnw.py b/wqflask/wqflask/external_tools/send_to_bnw.py new file mode 100644 index 00000000..68efd10d --- /dev/null +++ b/wqflask/wqflask/external_tools/send_to_bnw.py @@ -0,0 +1,72 @@ +## Copyright (C) University of Tennessee Health Science Center, Memphis, TN. +# +# This program is free software: you can redistribute it and/or modify it +# under the terms of the GNU Affero General Public License +# as published by the Free Software Foundation, either version 3 of the +# License, or (at your option) any later version. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. +# See the GNU Affero General Public License for more details. +# +# This program is available from Source Forge: at GeneNetwork Project +# (sourceforge.net/projects/genenetwork/). +# +# Contact Dr. Robert W. Williams at rwilliams@uthsc.edu +# +# +# This module is used by GeneNetwork project (www.genenetwork.org) + +from __future__ import absolute_import, print_function, division + +from base.trait import GeneralTrait +from utility import helper_functions, corr_result_helpers + +import utility.logger +logger = utility.logger.getLogger(__name__ ) + +class SendToBNW(object): + def __init__(self, start_vars): + trait_db_list = [trait.strip() for trait in start_vars['trait_list'].split(',')] + helper_functions.get_trait_db_obs(self, trait_db_list) + + trait_samples_list = [] + + for trait_db in self.trait_list: + trait_1 = trait_db[0] + this_sample_data = trait_1.data + + trait1_samples = list(this_sample_data.keys()) + trait_samples_list.append(trait1_samples) + + shared_samples = list(set(trait_samples_list[0]).intersection(*trait_samples_list)) + + self.form_value = "" #ZS: string that is passed to BNW through form + values_list = [] + for trait_db in self.trait_list: + this_trait = trait_db[0] + this_sample_data = this_trait.data + + trait_vals = [] + for sample in this_sample_data: + if sample in shared_samples: + trait_vals.append(this_sample_data[sample].value) + + values_list.append(trait_vals) + self.form_value += "_" + str(this_trait.name) + "," + + values_list = zip(*values_list) + self.form_value = self.form_value[:-1] + self.form_value += ";" + + for row in values_list: + has_none = False + for cell in row: + if not cell: + has_none = True + break + if has_none: + continue + self.form_value += ",".join(str(cell) for cell in row) + self.form_value += ";"
\ No newline at end of file diff --git a/wqflask/wqflask/external_tools/send_to_geneweaver.py b/wqflask/wqflask/external_tools/send_to_geneweaver.py new file mode 100644 index 00000000..7a5dba73 --- /dev/null +++ b/wqflask/wqflask/external_tools/send_to_geneweaver.py @@ -0,0 +1,112 @@ +## Copyright (C) University of Tennessee Health Science Center, Memphis, TN. +# +# This program is free software: you can redistribute it and/or modify it +# under the terms of the GNU Affero General Public License +# as published by the Free Software Foundation, either version 3 of the +# License, or (at your option) any later version. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. +# See the GNU Affero General Public License for more details. +# +# This program is available from Source Forge: at GeneNetwork Project +# (sourceforge.net/projects/genenetwork/). +# +# Contact Dr. Robert W. Williams at rwilliams@uthsc.edu +# +# +# This module is used by GeneNetwork project (www.genenetwork.org) + +from __future__ import absolute_import, print_function, division + +import string + +from flask import Flask, g + +from base.trait import GeneralTrait, retrieve_trait_info +from base.species import TheSpecies +from utility import helper_functions, corr_result_helpers + +import utility.logger +logger = utility.logger.getLogger(__name__ ) + +class SendToGeneWeaver(object): + def __init__(self, start_vars): + trait_db_list = [trait.strip() for trait in start_vars['trait_list'].split(',')] + helper_functions.get_trait_db_obs(self, trait_db_list) + + self.chip_name = test_chip(self.trait_list) + self.wrong_input = "False" + if self.chip_name == "mixed" or self.chip_name == "not_microarray" or '_NA' in self.chip_name: + self.wrong_input = "True" + else: + species = self.trait_list[0][1].group.species + if species == "rat": + species_name = "Rattus norvegicus" + elif species == "human": + species_name = "Homo sapiens" + elif species == "mouse": + species_name = "Mus musculus" + else: + species_name = "" + + trait_name_list = get_trait_name_list(self.trait_list) + + self.hidden_vars = { + 'client' : "genenetwork", + 'species' : species_name, + 'idtype' : self.chip_name, + 'list' : string.join(trait_name_list, ","), + } + +def get_trait_name_list(trait_list): + name_list = [] + for trait_db in trait_list: + name_list.append(trait_db[0].name) + + return name_list + +def test_chip(trait_list): + final_chip_name = "" + + for trait_db in trait_list: + dataset = trait_db[1] + result = g.db.execute("""SELECT GeneChip.GO_tree_value + FROM GeneChip, ProbeFreeze, ProbeSetFreeze + WHERE GeneChip.Id = ProbeFreeze.ChipId and + ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and + ProbeSetFreeze.Name = '%s'""" % dataset.name).fetchone() + + if result: + chip_name = result[0] + if chip_name: + if chip_name != final_chip_name: + if final_chip_name: + return "mixed" + else: + final_chip_name = chip_name + else: + pass + else: + result = g.db.execute("""SELECT GeneChip.Name + FROM GeneChip, ProbeFreeze, ProbeSetFreeze + WHERE GeneChip.Id = ProbeFreeze.ChipId and + ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and + ProbeSetFreeze.Name = '%s'""" % dataset.name).fetchone() + chip_name = '%s_NA' % result[0] + return chip_name + else: + query = """SELECT GeneChip.Name + FROM GeneChip, ProbeFreeze, ProbeSetFreeze + WHERE GeneChip.Id = ProbeFreeze.ChipId and + ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and + ProbeSetFreeze.Name = '%s'""" % dataset.name + result = g.db.execute(query).fetchone() + if result == None: + return "not_microarray" + else: + chip_name = '%s_NA' % result[0] + return chip_name + + return chip_name
\ No newline at end of file diff --git a/wqflask/wqflask/external_tools/send_to_webgestalt.py b/wqflask/wqflask/external_tools/send_to_webgestalt.py new file mode 100644 index 00000000..30ca024f --- /dev/null +++ b/wqflask/wqflask/external_tools/send_to_webgestalt.py @@ -0,0 +1,126 @@ +## Copyright (C) University of Tennessee Health Science Center, Memphis, TN. +# +# This program is free software: you can redistribute it and/or modify it +# under the terms of the GNU Affero General Public License +# as published by the Free Software Foundation, either version 3 of the +# License, or (at your option) any later version. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. +# See the GNU Affero General Public License for more details. +# +# This program is available from Source Forge: at GeneNetwork Project +# (sourceforge.net/projects/genenetwork/). +# +# Contact Dr. Robert W. Williams at rwilliams@uthsc.edu +# +# +# This module is used by GeneNetwork project (www.genenetwork.org) + +from __future__ import absolute_import, print_function, division + +import string + +from flask import Flask, g + +from base.trait import GeneralTrait, retrieve_trait_info +from base.species import TheSpecies +from utility import helper_functions, corr_result_helpers + +import utility.logger +logger = utility.logger.getLogger(__name__ ) + +class SendToWebGestalt(object): + def __init__(self, start_vars): + trait_db_list = [trait.strip() for trait in start_vars['trait_list'].split(',')] + helper_functions.get_trait_db_obs(self, trait_db_list) + + self.chip_name = test_chip(self.trait_list) + + self.wrong_input = "False" + if self.chip_name == "mixed" or self.chip_name == "not_microarray" or '_NA' in self.chip_name: + self.wrong_input = "True" + else: + trait_name_list, gene_id_list = gen_gene_id_list(self.trait_list) + + self.target_url = "http://www.webgestalt.org/option.php" + + id_type = "entrezgene" + + self.hidden_vars = { + 'gene_list' : string.join(gene_id_list, "\n"), + 'id_type' : "entrezgene", + 'ref_set' : "genome", + 'enriched_database_category' : "geneontology", + 'enriched_database_name' : "Biological_Process", + 'sig_method' : "fdr", + 'sig_value' : "0.05", + 'enrich_method' : "ORA", + 'fdr_method' : "BH", + 'min_num' : "2" + } + + species = self.trait_list[0][1].group.species + if species == "rat": + self.hidden_vars['organism'] = "rnorvegicus" + elif species == "human": + self.hidden_vars['organism'] = "hsapiens" + elif species == "mouse": + self.hidden_vars['organism'] = "mmusculus" + else: + self.hidden_vars['organism'] = "others" + +def test_chip(trait_list): + final_chip_name = "" + + for trait_db in trait_list: + dataset = trait_db[1] + result = g.db.execute("""SELECT GeneChip.GO_tree_value + FROM GeneChip, ProbeFreeze, ProbeSetFreeze + WHERE GeneChip.Id = ProbeFreeze.ChipId and + ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and + ProbeSetFreeze.Name = '%s'""" % dataset.name).fetchone() + + if result: + chip_name = result[0] + if chip_name: + if chip_name != final_chip_name: + if final_chip_name: + return "mixed" + else: + final_chip_name = chip_name + else: + pass + else: + result = g.db.execute("""SELECT GeneChip.Name + FROM GeneChip, ProbeFreeze, ProbeSetFreeze + WHERE GeneChip.Id = ProbeFreeze.ChipId and + ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and + ProbeSetFreeze.Name = '%s'""" % dataset.name).fetchone() + chip_name = '%s_NA' % result[0] + return chip_name + else: + query = """SELECT GeneChip.Name + FROM GeneChip, ProbeFreeze, ProbeSetFreeze + WHERE GeneChip.Id = ProbeFreeze.ChipId and + ProbeSetFreeze.ProbeFreezeId = ProbeFreeze.Id and + ProbeSetFreeze.Name = '%s'""" % dataset.name + result = g.db.execute(query).fetchone() + if result == None: + return "not_microarray" + else: + chip_name = '%s_NA' % result[0] + return chip_name + + return chip_name + +def gen_gene_id_list(trait_list): + trait_name_list = [] + gene_id_list = [] + for trait_db in trait_list: + trait = trait_db[0] + trait_name_list.append(trait.name) + retrieve_trait_info(trait, trait.dataset) + gene_id_list.append(str(trait.geneid)) + return trait_name_list, gene_id_list
\ No newline at end of file diff --git a/wqflask/wqflask/gsearch.py b/wqflask/wqflask/gsearch.py index 37eb46cb..3d9b508a 100644 --- a/wqflask/wqflask/gsearch.py +++ b/wqflask/wqflask/gsearch.py @@ -1,5 +1,7 @@ from __future__ import absolute_import, print_function, division +import json + from flask import Flask, g from base.data_set import create_dataset from base.trait import GeneralTrait @@ -7,6 +9,8 @@ from db import webqtlDatabaseFunction from base import webqtlConfig +from utility import hmac + from utility.type_checking import is_float, is_int, is_str, get_float, get_int, get_string from utility.benchmark import Bench @@ -30,6 +34,7 @@ class GSearch(object): InbredSet.`Name` AS inbredset_name, Tissue.`Name` AS tissue_name, ProbeSetFreeze.Name AS probesetfreeze_name, + ProbeSetFreeze.FullName AS probesetfreeze_fullname, ProbeSet.Name AS probeset_name, ProbeSet.Symbol AS probeset_symbol, ProbeSet.`description` AS probeset_description, @@ -56,95 +61,176 @@ class GSearch(object): with Bench("Running query"): logger.sql(sql) re = g.db.execute(sql).fetchall() - self.trait_list = [] + + trait_list = [] with Bench("Creating trait objects"): - for line in re: + for i, line in enumerate(re): this_trait = {} - this_trait['name'] = line[4] + this_trait['index'] = i + 1 + this_trait['name'] = line[5] this_trait['dataset'] = line[3] + this_trait['dataset_fullname'] = line[4] + this_trait['hmac'] = hmac.data_hmac('{}:{}'.format(line[5], line[3])) this_trait['species'] = line[0] this_trait['group'] = line[1] this_trait['tissue'] = line[2] - this_trait['symbol'] = line[5] - this_trait['description'] = line[6] + this_trait['symbol'] = line[6] + this_trait['description'] = line[7].decode('utf-8', 'replace') this_trait['location_repr'] = 'N/A' - if (line[7] != "NULL" and line[7] != "") and (line[8] != 0): - this_trait['location_repr'] = 'Chr%s: %.6f' % (line[7], float(line[8])) - this_trait['mean'] = line[9] + if (line[8] != "NULL" and line[8] != "") and (line[9] != 0): + this_trait['location_repr'] = 'Chr%s: %.6f' % (line[8], float(line[9])) + try: + this_trait['mean'] = '%.3f' % line[10] + except: + this_trait['mean'] = "N/A" this_trait['LRS_score_repr'] = "N/A" - if line[10] != "" and line[10] != None: - this_trait['LRS_score_repr'] = '%3.1f' % line[10] + if line[11] != "" and line[11] != None: + this_trait['LRS_score_repr'] = '%3.1f' % line[11] this_trait['additive'] = "N/A" - if line[13] != "": - this_trait['additive'] = line[13] + if line[14] != "" and line[14] != None: + this_trait['additive'] = '%.3f' % line[14] #dataset = create_dataset(line[3], "ProbeSet", get_samplelist=False) #trait_id = line[4] #with Bench("Building trait object"): - #this_trait = GeneralTrait(dataset=dataset, name=trait_id, get_qtl_info=False, get_sample_info=False) - self.trait_list.append(this_trait) + trait_ob = GeneralTrait(dataset_name=this_trait['dataset'], name=this_trait['name'], get_qtl_info=True, get_sample_info=False) + max_lrs_text = "N/A" + if trait_ob.locus_chr != "" and trait_ob.locus_mb != "": + max_lrs_text = "Chr" + str(trait_ob.locus_chr) + ": " + str(trait_ob.locus_mb) + this_trait['max_lrs_text'] = max_lrs_text + + trait_list.append(this_trait) + + self.trait_count = len(trait_list) + self.trait_list = json.dumps(trait_list) + + self.header_fields = ['Index', + 'Record', + 'Species', + 'Group', + 'Tissue', + 'Dataset', + 'Symbol', + 'Description', + 'Location', + 'Mean', + 'Max LRS', + 'Max LRS Location', + 'Additive Effect'] elif self.type == "phenotype": + search_term = self.terms + group_clause = "" + if "_" in self.terms: + if len(self.terms.split("_")[0]) == 3: + search_term = self.terms.split("_")[1] + group_clause = "AND InbredSet.`InbredSetCode` = '{}'".format(self.terms.split("_")[0]) sql = """ SELECT Species.`Name`, InbredSet.`Name`, PublishFreeze.`Name`, + PublishFreeze.`FullName`, PublishXRef.`Id`, + Phenotype.`Pre_publication_description`, Phenotype.`Post_publication_description`, Publication.`Authors`, Publication.`Year`, Publication.`PubMed_ID`, PublishXRef.`LRS`, - PublishXRef.`additive` + PublishXRef.`additive`, + InbredSet.`InbredSetCode`, + PublishXRef.`mean` FROM Species,InbredSet,PublishFreeze,PublishXRef,Phenotype,Publication WHERE PublishXRef.`InbredSetId`=InbredSet.`Id` AND PublishFreeze.`InbredSetId`=InbredSet.`Id` AND InbredSet.`SpeciesId`=Species.`Id` + {0} AND PublishXRef.`PhenotypeId`=Phenotype.`Id` AND PublishXRef.`PublicationId`=Publication.`Id` - AND (Phenotype.Post_publication_description REGEXP "[[:<:]]%s[[:>:]]" - OR Phenotype.Pre_publication_description REGEXP "[[:<:]]%s[[:>:]]" - OR Phenotype.Pre_publication_abbreviation REGEXP "[[:<:]]%s[[:>:]]" - OR Phenotype.Post_publication_abbreviation REGEXP "[[:<:]]%s[[:>:]]" - OR Phenotype.Lab_code REGEXP "[[:<:]]%s[[:>:]]" - OR Publication.PubMed_ID REGEXP "[[:<:]]%s[[:>:]]" - OR Publication.Abstract REGEXP "[[:<:]]%s[[:>:]]" - OR Publication.Title REGEXP "[[:<:]]%s[[:>:]]" - OR Publication.Authors REGEXP "[[:<:]]%s[[:>:]]" - OR PublishXRef.Id REGEXP "[[:<:]]%s[[:>:]]") + AND (Phenotype.Post_publication_description REGEXP "[[:<:]]{1}[[:>:]]" + OR Phenotype.Pre_publication_description REGEXP "[[:<:]]{1}[[:>:]]" + OR Phenotype.Pre_publication_abbreviation REGEXP "[[:<:]]{1}[[:>:]]" + OR Phenotype.Post_publication_abbreviation REGEXP "[[:<:]]{1}[[:>:]]" + OR Phenotype.Lab_code REGEXP "[[:<:]]{1}[[:>:]]" + OR Publication.PubMed_ID REGEXP "[[:<:]]{1}[[:>:]]" + OR Publication.Abstract REGEXP "[[:<:]]{1}[[:>:]]" + OR Publication.Title REGEXP "[[:<:]]{1}[[:>:]]" + OR Publication.Authors REGEXP "[[:<:]]{1}[[:>:]]" + OR PublishXRef.Id REGEXP "[[:<:]]{1}[[:>:]]") ORDER BY Species.`Name`, InbredSet.`Name`, PublishXRef.`Id` LIMIT 6000 - """ % (self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms, self.terms) + """.format(group_clause, search_term) logger.sql(sql) re = g.db.execute(sql).fetchall() - self.trait_list = [] + trait_list = [] with Bench("Creating trait objects"): - for line in re: + for i, line in enumerate(re): this_trait = {} - this_trait['name'] = line[3] + this_trait['index'] = i + 1 + this_trait['name'] = str(line[4]) + if len(str(line[12])) == 3: + this_trait['display_name'] = str(line[12]) + "_" + this_trait['name'] + else: + this_trait['display_name'] = this_trait['name'] this_trait['dataset'] = line[2] + this_trait['dataset_fullname'] = line[3] + this_trait['hmac'] = hmac.data_hmac('{}:{}'.format(line[4], line[2])) this_trait['species'] = line[0] this_trait['group'] = line[1] - this_trait['description'] = line[4] - this_trait['authors'] = line[5] - this_trait['year'] = line[6] + if line[9] != None and line[6] != None: + this_trait['description'] = line[6].decode('utf-8', 'replace') + elif line[5] != None: + this_trait['description'] = line[5].decode('utf-8', 'replace') + else: + this_trait['description'] = "N/A" + if line[13] != None and line[13] != "": + this_trait['mean'] = line[13] + else: + this_trait['mean'] = "N/A" + this_trait['authors'] = line[7] + this_trait['year'] = line[8] if this_trait['year'].isdigit(): this_trait['pubmed_text'] = this_trait['year'] else: this_trait['pubmed_text'] = "N/A" - if line[7] != "" and line[7] != None: - this_trait['pubmed_link'] = webqtlConfig.PUBMEDLINK_URL % line[7] + if line[9] != "" and line[9] != None: + this_trait['pubmed_link'] = webqtlConfig.PUBMEDLINK_URL % line[8] else: this_trait['pubmed_link'] = "N/A" + if line[12]: + this_trait['display_name'] = line[12] + "_" + str(this_trait['name']) this_trait['LRS_score_repr'] = "N/A" - if line[8] != "" and line[8] != None: - this_trait['LRS_score_repr'] = '%3.1f' % line[8] + if line[10] != "" and line[10] != None: + this_trait['LRS_score_repr'] = '%3.1f' % line[10] this_trait['additive'] = "N/A" - if line[9] != "": - this_trait['additive'] = line[9] + if line[11] != "" and line[11] != None: + this_trait['additive'] = '%.3f' % line[11] #dataset = create_dataset(line[2], "Publish") #trait_id = line[3] #this_trait = GeneralTrait(dataset=dataset, name=trait_id, get_qtl_info=True, get_sample_info=False) - self.trait_list.append(this_trait) + this_trait['max_lrs_text'] = "N/A" + if this_trait['dataset'] == this_trait['group'] + "Publish": + try: + trait_ob = GeneralTrait(dataset_name=this_trait['dataset'], name=this_trait['name'], get_qtl_info=True, get_sample_info=False) + if trait_ob.locus_chr != "" and trait_ob.locus_mb != "": + this_trait['max_lrs_text'] = "Chr" + str(trait_ob.locus_chr) + ": " + str(trait_ob.locus_mb) + except: + this_trait['max_lrs_text'] = "N/A" + + trait_list.append(this_trait) + + self.trait_count = len(trait_list) + self.trait_list = json.dumps(trait_list) + + self.header_fields = ['Index', + 'Species', + 'Group', + 'Record', + 'Description', + 'Authors', + 'Year', + 'Max LRS', + 'Max LRS Location', + 'Additive Effect'] diff --git a/wqflask/wqflask/heatmap/heatmap.py b/wqflask/wqflask/heatmap/heatmap.py index af75d441..e82aa0ef 100644 --- a/wqflask/wqflask/heatmap/heatmap.py +++ b/wqflask/wqflask/heatmap/heatmap.py @@ -10,6 +10,7 @@ import datetime import time import pp import math +import random import collections import resource @@ -18,18 +19,16 @@ import numpy as np from pprint import pformat as pf -from htmlgen import HTMLgen2 as HT import reaper from base.trait import GeneralTrait from base import data_set from base import species -# from wqflask.my_pylmm.pyLMM import lmm -# from wqflask.my_pylmm.pyLMM import input +from base import webqtlConfig from utility import helper_functions from utility import Plot, Bunch from utility import temp_data -from utility.tools import PYLMM_COMMAND +from utility.tools import flat_files, REAPER_COMMAND, TEMPDIR from MySQLdb import escape_string as escape @@ -43,12 +42,13 @@ Redis = Redis() from flask import Flask, g +from utility.logger import getLogger +logger = getLogger(__name__ ) + class Heatmap(object): def __init__(self, start_vars, temp_uuid): - trait_db_list = [trait.strip() for trait in start_vars['trait_list'].split(',')] - helper_functions.get_trait_db_obs(self, trait_db_list) self.temp_uuid = temp_uuid @@ -98,6 +98,7 @@ class Heatmap(object): for trait in self.trait_results.keys(): lodnames.append(trait) + self.dataset.group.get_markers() for marker in self.dataset.group.markers.markers: chr_pos.append(marker['chr']) pos.append(marker['Mb']) @@ -121,25 +122,89 @@ class Heatmap(object): for trait_db in self.trait_list: self.dataset.group.get_markers() this_trait = trait_db[0] - #this_db = trait_db[1] - genotype = self.dataset.group.read_genotype_file() + + genotype = self.dataset.group.read_genotype_file(use_reaper=False) samples, values, variances, sample_aliases = this_trait.export_informative() + if self.dataset.group.genofile != None: + genofile_name = self.dataset.group.genofile[:-5] + else: + genofile_name = self.dataset.group.name + trimmed_samples = [] trimmed_values = [] for i in range(0, len(samples)): if samples[i] in self.dataset.group.samplelist: - trimmed_samples.append(samples[i]) + trimmed_samples.append(str(samples[i])) trimmed_values.append(values[i]) - reaper_results = genotype.regression(strains = trimmed_samples, - trait = trimmed_values) + trait_filename = str(this_trait.name) + "_" + str(self.dataset.name) + "_pheno" + gen_pheno_txt_file(trimmed_samples, trimmed_values, trait_filename) + + output_filename = self.dataset.group.name + "_GWA_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) + + reaper_command = REAPER_COMMAND + ' --geno {0}/{1}.geno --traits {2}/gn2/{3}.txt -n 1000 -o {4}{5}.txt'.format(flat_files('genotype'), + genofile_name, + TEMPDIR, + trait_filename, + webqtlConfig.GENERATED_IMAGE_DIR, + output_filename) + + os.system(reaper_command) + + reaper_results = parse_reaper_output(output_filename) - lrs_values = [float(qtl.lrs) for qtl in reaper_results] + lrs_values = [float(qtl['lrs_value']) for qtl in reaper_results] self.trait_results[this_trait.name] = [] for qtl in reaper_results: - if qtl.additive > 0: - self.trait_results[this_trait.name].append(-float(qtl.lrs)) + if qtl['additive'] > 0: + self.trait_results[this_trait.name].append(-float(qtl['lrs_value'])) else: - self.trait_results[this_trait.name].append(float(qtl.lrs))
\ No newline at end of file + self.trait_results[this_trait.name].append(float(qtl['lrs_value'])) + +def gen_pheno_txt_file(samples, vals, filename): + """Generates phenotype file for GEMMA""" + + with open("{0}/gn2/{1}.txt".format(TEMPDIR, filename), "w") as outfile: + outfile.write("Trait\t") + + filtered_sample_list = [] + filtered_vals_list = [] + for i, sample in enumerate(samples): + if vals[i] != "x": + filtered_sample_list.append(sample) + filtered_vals_list.append(str(vals[i])) + + samples_string = "\t".join(filtered_sample_list) + outfile.write(samples_string + "\n") + outfile.write("T1\t") + values_string = "\t".join(filtered_vals_list) + outfile.write(values_string) + +def parse_reaper_output(gwa_filename): + included_markers = [] + p_values = [] + marker_obs = [] + + with open("{}{}.txt".format(webqtlConfig.GENERATED_IMAGE_DIR, gwa_filename)) as output_file: + for line in output_file: + if line.startswith("ID\t"): + continue + else: + marker = {} + marker['name'] = line.split("\t")[1] + try: + marker['chr'] = int(line.split("\t")[2]) + except: + marker['chr'] = line.split("\t")[2] + marker['cM'] = float(line.split("\t")[3]) + marker['Mb'] = float(line.split("\t")[4]) + if float(line.split("\t")[7]) != 1: + marker['p_value'] = float(line.split("\t")[7]) + marker['lrs_value'] = float(line.split("\t")[5]) + marker['lod_score'] = marker['lrs_value'] / 4.61 + marker['additive'] = float(line.split("\t")[6]) + marker_obs.append(marker) + + return marker_obs
\ No newline at end of file diff --git a/wqflask/wqflask/marker_regression/marker_regression_gn1.py b/wqflask/wqflask/marker_regression/display_mapping_results.py index 94145bb3..2a53b60e 100644 --- a/wqflask/wqflask/marker_regression/marker_regression_gn1.py +++ b/wqflask/wqflask/marker_regression/display_mapping_results.py @@ -24,13 +24,14 @@ # # Last updated by Zach 12/14/2010 -import time +import datetime import string from math import * import piddle as pid import sys,os import cPickle import httplib +import json from flask import Flask, g @@ -51,7 +52,7 @@ logger = utility.logger.getLogger(__name__ ) ######################################### # Inteval Mapping Plot Page ######################################### -class MarkerRegression(object): +class DisplayMappingResults(object): cMGraphInterval = 5 GRAPH_MIN_WIDTH = 900 GRAPH_MAX_WIDTH = 10000 # Don't set this too high @@ -146,15 +147,26 @@ class MarkerRegression(object): self.dataset = start_vars['dataset'] self.this_trait = start_vars['this_trait'] + self.n_samples = start_vars['num_vals'] self.species = start_vars['species'] + self.genofile_string = "" if 'genofile_string' in start_vars: self.genofile_string = start_vars['genofile_string'] self.geno_db_exists = start_vars['geno_db_exists'] + self.first_run = True + if 'first_run' in start_vars: + self.first_run = start_vars['first_run'] + + if 'temp_trait' in start_vars and start_vars['temp_trait'] != "False": + self.temp_trait = "True" + self.group = start_vars['group'] + #Needing for form submission when doing single chr mapping or remapping after changing options self.samples = start_vars['samples'] self.vals = start_vars['vals'] + self.transform = start_vars['transform'] self.mapping_method = start_vars['mapping_method'] self.mapping_results_path = start_vars['mapping_results_path'] if self.mapping_method == "rqtl_geno": @@ -162,12 +174,12 @@ class MarkerRegression(object): self.mapmodel_rqtl_geno = start_vars['model'] self.pair_scan = start_vars['pair_scan'] - if self.mapping_method != "gemma" and self.mapping_method != "plink": - self.js_data = start_vars['js_data'] + #if self.mapping_method != "gemma" and self.mapping_method != "plink": + self.js_data = start_vars['js_data'] self.trimmed_markers = start_vars['trimmed_markers'] #Top markers to display in table if self.dataset.group.species == "rat": - self._ucscDb = "rn3" + self._ucscDb = "rn6" elif self.dataset.group.species == "mouse": self._ucscDb = "mm9" else: @@ -222,15 +234,44 @@ class MarkerRegression(object): self.covariates = start_vars['covariates'] if 'maf' in start_vars.keys(): self.maf = start_vars['maf'] - if 'use_loco' in start_vars.keys(): + else: + self.maf = "" + if 'output_files' in start_vars.keys(): + self.output_files = start_vars['output_files'] + if 'use_loco' in start_vars.keys() and self.mapping_method == "gemma": self.use_loco = start_vars['use_loco'] + if 'reaper_version' in start_vars.keys() and self.mapping_method == "reaper": + self.reaper_version = start_vars['reaper_version'] + if 'output_files' in start_vars: + self.output_files = ",".join(start_vars['output_files']) + self.selectedChr = int(start_vars['selected_chr']) - self.strainlist = self.dataset.group.samplelist - self.genotype = self.dataset.group.read_genotype_file() + self.strainlist = start_vars['samples'] + + self.traitList = [] + thisTrait = start_vars['this_trait'] + self.traitList.append(thisTrait) + + ################################################################ + # Calculations QTL goes here + ################################################################ + self.multipleInterval = len(self.traitList) > 1 + self.qtlresults = start_vars['qtl_results'] + + if self.multipleInterval: + self.colorCollection = Plot.colorSpectrum(len(self.qtlresults)) + else: + self.colorCollection = [self.LRS_COLOR] + if self.mapping_method == "reaper" and self.manhattan_plot != True: - self.genotype = self.genotype.addinterval() + self.genotype = self.dataset.group.read_genotype_file(use_reaper=True) + else: + self.genotype = self.dataset.group.read_genotype_file() + + #if self.mapping_method == "rqtl_geno" and self.genotype.filler == True: + # self.genotype = self.genotype.read_rdata_output(self.qtlresults) #Darwing Options try: @@ -296,10 +337,12 @@ class MarkerRegression(object): ################################################################ self.ChrList = [("All", -1)] for i, indChr in enumerate(self.genotype): + if self.dataset.group.species == "mouse" and indChr.name == "20": + self.ChrList.append(("X", i)) + elif self.dataset.group.species == "rat" and indChr.name == "21": + self.ChrList.append(("X", i)) self.ChrList.append((indChr.name, i)) - - self.ChrLengthMbList = g.db.execute(""" Select Length from Chr_Length, InbredSet @@ -321,6 +364,7 @@ class MarkerRegression(object): self.ChrLengthCMList = [] for i, _chr in enumerate(self.genotype): self.ChrLengthCMList.append(_chr[-1].cM - _chr[0].cM) + self.ChrLengthCMSum = reduce(lambda x, y:x+y, self.ChrLengthCMList, 0.0) if self.plotScale == 'physic': @@ -328,39 +372,28 @@ class MarkerRegression(object): else: self.GraphInterval = self.cMGraphInterval #cM - self.traitList = [] - thisTrait = start_vars['this_trait'] - self.traitList.append(thisTrait) - ## BEGIN HaplotypeAnalyst ## count the amount of individuals to be plotted, and increase self.graphHeight if self.haplotypeAnalystChecked and self.selectedChr > -1: - #thisTrait = self.traitList[0] - thisTrait = self.this_trait - _strains, _vals, _vars, _aliases = thisTrait.export_informative() - smd=[] - for ii, _val in enumerate(_vals): - temp = GeneralObject(name=_strains[ii], value=_val) - smd.append(temp) - samplelist = list(self.genotype.prgy) - for j,_geno in enumerate (self.genotype[0][1].genotype): - for item in smd: - if item.name == samplelist[j]: - self.NR_INDIVIDUALS = self.NR_INDIVIDUALS + 1 + thisTrait = self.this_trait + _strains, _vals, _vars, _aliases = thisTrait.export_informative() + smd=[] + for ii, _val in enumerate(self.vals): + if _val != "x": + temp = GeneralObject(name=self.samples[ii], value=float(_val)) + smd.append(temp) + else: + continue + samplelist = list(self.genotype.prgy) + for j,_geno in enumerate (self.genotype[0][1].genotype): + for item in smd: + if item.name == samplelist[j]: + self.NR_INDIVIDUALS = self.NR_INDIVIDUALS + 1 # default: - self.graphHeight = self.graphHeight + 2 * (self.NR_INDIVIDUALS+10) * self.EACH_GENE_HEIGHT + self.graphHeight = self.graphHeight + 2 * (self.NR_INDIVIDUALS+10) * self.EACH_GENE_HEIGHT ## END HaplotypeAnalyst - ################################################################ - # Calculations QTL goes here - ################################################################ - self.multipleInterval = len(self.traitList) > 1 - self.qtlresults = start_vars['qtl_results'] - if self.multipleInterval: - self.colorCollection = Plot.colorSpectrum(len(self.qtlresults)) - else: - self.colorCollection = [self.LRS_COLOR] ######################### @@ -369,7 +402,7 @@ class MarkerRegression(object): RISet = self.dataset.group.name if RISet in ('AXB', 'BXA', 'AXBXA'): self.diffCol = ['B6J', 'A/J'] - elif RISet in ('BXD', 'BXD300', 'B6D2F2', 'BDF2-2005', 'BDF2-1999', 'BHHBF2'): + elif RISet in ('BXD', 'BXD300', 'B6D2F2', 'BDF2-2005', 'BDF2-1999', 'BHHBF2', 'BXD-Harvested'): self.diffCol = ['B6J', 'D2J'] elif RISet in ('CXB'): self.diffCol = ['CBY', 'B6J'] @@ -474,10 +507,10 @@ class MarkerRegression(object): #calculating margins xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset if self.multipleInterval: - yTopOffset = max(80, yTopOffset) + yTopOffset = max(90, yTopOffset) else: if self.legendChecked: - yTopOffset = max(80, yTopOffset) + yTopOffset = max(90, yTopOffset) else: pass @@ -711,7 +744,7 @@ class MarkerRegression(object): locPixel = xLeftOffset for i, _chr in enumerate(self.ChrList[1:]): if _chr[0] != Chr: - locPixel += (self.ChrLengthDistList[i-1] + self.GraphInterval)*plotXScale + locPixel += (self.ChrLengthDistList[i] + self.GraphInterval)*plotXScale else: locPixel += Mb*plotXScale break @@ -743,7 +776,7 @@ class MarkerRegression(object): locPixel += (Mb*(_chr[-1].cM-_chr[0].cM)/self.ChrLengthCMList[i])*plotXScale break if locPixel >= 0 and self.plotScale == 'physic': - traitPixel = ((locPixel, yZero), (locPixel-6, yZero+12), (locPixel+6, yZero+12)) + traitPixel = ((locPixel, yZero), (locPixel-7, yZero+14), (locPixel+7, yZero+14)) canvas.drawPolygon(traitPixel, edgeColor=pid.black, fillColor=self.TRANSCRIPT_LOCATION_COLOR, closed=1) if self.legendChecked: @@ -754,7 +787,7 @@ class MarkerRegression(object): leftOffset = xLeftOffset else: leftOffset = xLeftOffset+(nCol-1)*200*fontZoom - canvas.drawPolygon(((leftOffset+6, startPosY-6), (leftOffset, startPosY+6), (leftOffset+12, startPosY+6)), edgeColor=pid.black, fillColor=self.TRANSCRIPT_LOCATION_COLOR, closed=1) + canvas.drawPolygon(((leftOffset+7, startPosY-7), (leftOffset, startPosY+7), (leftOffset+14, startPosY+7)), edgeColor=pid.black, fillColor=self.TRANSCRIPT_LOCATION_COLOR, closed=1) canvas.drawString("Sequence Site", (leftOffset+15), (startPosY+5), smallLabelFont, self.TOP_RIGHT_INFO_COLOR) def drawSNPTrackNew(self, canvas, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): @@ -772,7 +805,8 @@ class MarkerRegression(object): fontZoom = 1.5 drawSNPLocationY = yTopOffset + plotHeight - chrName = self.genotype[0].name + #chrName = self.genotype[0].name + chrName = self.ChrList[self.selectedChr][0] stepMb = (endMb-startMb)/plotWidth strainId1, strainId2 = self.diffCol @@ -878,49 +912,78 @@ class MarkerRegression(object): labelFont = pid.Font(ttf="verdana",size=12*fontZoom) labelColor = pid.black - if self.selectedChr == -1: - string1 = 'Mapping for Dataset: %s, mapping on All Chromosomes' % self.dataset.group.name + if self.dataset.type == "Publish" or self.dataset.type == "Geno": + dataset_label = self.dataset.fullname + else: + dataset_label = "%s - %s" % (self.dataset.group.name, self.dataset.fullname) + + string1 = 'Dataset: %s' % (dataset_label) + + if self.genofile_string == "": + string2 = 'Genotype File: %s.geno' % self.dataset.group.name else: - string1 = 'Mapping for Dataset: %s, mapping on Chromosome %s' % (self.dataset.group.name, self.ChrList[self.selectedChr][0]) + string2 = 'Genotype File: %s' % self.genofile_string - string3 = '' + string4 = '' if self.mapping_method == "gemma" or self.mapping_method == "gemma_bimbam": if self.use_loco == "True": - string2 = 'Using GEMMA mapping method with LOCO and ' + string3 = 'Using GEMMA mapping method with LOCO and ' else: - string2 = 'Using GEMMA mapping method with ' + string3 = 'Using GEMMA mapping method with ' if self.covariates != "": - string2 += 'the cofactors below:' + string3 += 'the cofactors below:' cofactor_names = ", ".join([covar.split(":")[0] for covar in self.covariates.split(",")]) - string3 = cofactor_names + string4 = cofactor_names else: - string2 += 'no cofactors' + string3 += 'no cofactors' elif self.mapping_method == "rqtl_plink" or self.mapping_method == "rqtl_geno": - string2 = 'Using R/qtl mapping method with ' - if self.controlLocus and self.doControl != "false": - string2 += '%s as control' % self.controlLocus + string3 = 'Using R/qtl mapping method with ' + if self.covariates != "": + string3 += 'the cofactors below:' + cofactor_names = ", ".join([covar.split(":")[0] for covar in self.covariates.split(",")]) + string4 = cofactor_names + elif self.controlLocus and self.doControl != "false": + string3 += '%s as control' % self.controlLocus else: - string2 += 'no control for other QTLs' - elif self.mapping_method == "plink": - string2 = 'Using PLINK mapping method with no control for other QTLs' + string3 += 'no cofactors' else: - string2 = 'Using Haldane mapping function with ' + string3 = 'Using Haldane mapping function with ' if self.controlLocus and self.doControl != "false": - string2 += '%s as control' % self.controlLocus + string3 += '%s as control' % self.controlLocus else: - string2 += 'no control for other QTLs' + string3 += 'no control for other QTLs' if self.this_trait.name: - identification = "Trait ID: %s : %s" % (self.dataset.fullname, self.this_trait.name) + if self.selectedChr == -1: + identification = "Mapping on All Chromosomes for " + else: + identification = "Mapping on Chromosome %s for " % (self.ChrList[self.selectedChr][0]) + + if self.this_trait.symbol: + identification += "Trait: %s - %s" % (self.this_trait.name, self.this_trait.symbol) + elif self.dataset.type == "Publish": + if self.this_trait.post_publication_abbreviation: + identification += "Trait: %s - %s" % (self.this_trait.name, self.this_trait.post_publication_abbreviation) + elif self.this_trait.pre_publication_abbreviation: + identification += "Trait: %s - %s" % (self.this_trait.name, self.this_trait.pre_publication_abbreviation) + else: + identification += "Trait: %s" % (self.this_trait.name) + else: + identification += "Trait: %s" % (self.this_trait.name) + identification += " with %s samples" % (self.n_samples) + d = 4+ max(canvas.stringWidth(identification, font=labelFont), canvas.stringWidth(string1, font=labelFont), canvas.stringWidth(string2, font=labelFont)) canvas.drawString(identification,canvas.size[0] - xRightOffset-d,20*fontZoom,font=labelFont,color=labelColor) else: d = 4+ max(canvas.stringWidth(string1, font=labelFont), canvas.stringWidth(string2, font=labelFont)) canvas.drawString(string1,canvas.size[0] - xRightOffset-d,35*fontZoom,font=labelFont,color=labelColor) canvas.drawString(string2,canvas.size[0] - xRightOffset-d,50*fontZoom,font=labelFont,color=labelColor) - if string3 != '': - canvas.drawString(string3,canvas.size[0] - xRightOffset-d,65*fontZoom,font=labelFont,color=labelColor) - + canvas.drawString(string3,canvas.size[0] - xRightOffset-d,65*fontZoom,font=labelFont,color=labelColor) + if string4 != '': + canvas.drawString(string4,canvas.size[0] - xRightOffset-d,80*fontZoom,font=labelFont,color=labelColor) + canvas.drawString("Created at: " + str(datetime.datetime.now()).split('.')[0], canvas.size[0] - xRightOffset-d,95*fontZoom,font=labelFont,color=labelColor) + else: + canvas.drawString("Created at: " + str(datetime.datetime.now()).split('.')[0], canvas.size[0] - xRightOffset-d,80*fontZoom,font=labelFont,color=labelColor) def drawGeneBand(self, canvas, gifmap, plotXScale, offset= (40, 120, 80, 10), zoom = 1, startMb = None, endMb = None): if self.plotScale != 'physic' or self.selectedChr == -1 or not self.geneCol: @@ -1125,13 +1188,8 @@ class MarkerRegression(object): if self.plotScale != 'physic' or self.selectedChr == -1 or not self.geneCol: return - clickableRegionLabelFont=pid.Font(ttf="verdana", size=9, bold=0) - xLeftOffset, xRightOffset, yTopOffset, yBottomOffset = offset plotWidth = canvas.size[0] - xLeftOffset - xRightOffset - plotHeight = canvas.size[1] - yTopOffset - yBottomOffset - yZero = canvas.size[1] - yBottomOffset - fontZoom = zoom yPaddingTop = yTopOffset @@ -1139,10 +1197,12 @@ class MarkerRegression(object): _strains, _vals, _vars, _aliases = thisTrait.export_informative() smd=[] - for ii, _val in enumerate(_vals): - if _strains[ii] in self.dataset.group.samplelist: - temp = GeneralObject(name=_strains[ii], value=_val) + for ii, _val in enumerate(self.vals): + if _val != "x": + temp = GeneralObject(name=self.samples[ii], value=float(_val)) smd.append(temp) + else: + continue smd.sort(lambda A, B: cmp(A.value, B.value)) smd.reverse() @@ -1154,22 +1214,24 @@ class MarkerRegression(object): plotRight = xRightOffset #### find out PlotRight - for i, _locus in enumerate(self.genotype[0]): - txStart = self.genotype[0][i].Mb - txEnd = self.genotype[0][i].Mb + for _chr in self.genotype: + if _chr.name == self.ChrList[self.selectedChr][0]: + for i, _locus in enumerate(_chr): + txStart = _chr[i].Mb + txEnd = _chr[i].Mb - geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) - 0 - geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) - 0 + geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) - 0 + geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) - 0 - drawit = 1 - if (geneStartPix < xLeftOffset): - drawit = 0; - if (geneStartPix > xLeftOffset + plotWidth): - drawit = 0; + drawit = 1 + if (geneStartPix < xLeftOffset): + drawit = 0; + if (geneStartPix > xLeftOffset + plotWidth): + drawit = 0; - if drawit == 1: - if self.genotype[0][i].name != " - " : - plotRight = geneEndPix + 4 + if drawit == 1: + if _chr[i].name != " - " : + plotRight = geneEndPix + 4 #### end find out PlotRight @@ -1181,139 +1243,142 @@ class MarkerRegression(object): #Now there should always be some value set for "oldgeno" - Zach 12/14/2010 oldgeno = [None]*len(self.strainlist) - for i, _locus in enumerate(self.genotype[0]): - txStart = self.genotype[0][i].Mb - txEnd = self.genotype[0][i].Mb - - geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) - 0 - geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) + 0 - - if oldgeneEndPix >= xLeftOffset: - drawStart = oldgeneEndPix + 4 - else: - drawStart = xLeftOffset + 3 + for i, _chr in enumerate(self.genotype): + if _chr.name == self.ChrList[self.selectedChr][0]: + for j, _locus in enumerate(_chr): + txStart = _chr[j].Mb + txEnd = _chr[j].Mb - drawEnd = plotRight - 9 + geneStartPix = xLeftOffset + plotXScale*(float(txStart) - startMb) - 0 + geneEndPix = xLeftOffset + plotXScale*(float(txEnd) - startMb) + 0 - drawit = 1 + if oldgeneEndPix >= xLeftOffset: + drawStart = oldgeneEndPix + 4 + else: + drawStart = xLeftOffset + 3 - if (geneStartPix < xLeftOffset): - if firstGene == 1: - drawit = 1 - else: - drawit = 0 + drawEnd = plotRight - 9 - elif (geneStartPix > (xLeftOffset + plotWidth - 3)): - if lastGene == 0: drawit = 1 - drawEnd = xLeftOffset + plotWidth - 6 - lastGene = 1 - else: - break - else: - firstGene = 0 - drawit = 1 - - if drawit == 1: - myColor = pid.darkblue - outlineColor = myColor - fillColor = myColor - - maxind=0 + if (geneStartPix < xLeftOffset): + if firstGene == 1: + drawit = 1 + else: + drawit = 0 - #Draw Genes + elif (geneStartPix > (xLeftOffset + plotWidth - 3)): + if lastGene == 0: + drawit = 1 + drawEnd = xLeftOffset + plotWidth - 6 + lastGene = 1 + else: + break - geneYLocation = yPaddingTop + self.NUM_GENE_ROWS * (self.EACH_GENE_HEIGHT)*zoom - if self.dataset.group.species == "mouse" or self.dataset.group.species == "rat": - geneYLocation += 4*self.BAND_HEIGHT + 4*self.BAND_SPACING - else: - geneYLocation += 3*self.BAND_HEIGHT + 3*self.BAND_SPACING + else: + firstGene = 0 + drawit = 1 - if self.genotype[0][i].name != " - " : + if drawit == 1: + myColor = pid.darkblue + outlineColor = myColor + fillColor = myColor - if (firstGene == 1) and (lastGene != 1): - oldgeneEndPix = drawStart = xLeftOffset - oldgeno = self.genotype[0][i].genotype - continue + maxind=0 - for j,_geno in enumerate (self.genotype[0][i].genotype): + #Draw Genes - plotbxd=0 - for item in smd: - if item.name == samplelist[j]: - plotbxd=1 - - if (plotbxd == 1): - ind = 0 - counter = 0 - for item in smd: - counter = counter + 1 - if item.name == samplelist[j]: - ind = counter - maxind=max(ind,maxind) - - # lines - if (oldgeno[j] == -1 and _geno == -1): - mylineColor = self.HAPLOTYPE_NEGATIVE - elif (oldgeno[j] == 1 and _geno == 1): - mylineColor = self.HAPLOTYPE_POSITIVE - elif (oldgeno[j] == 0 and _geno == 0): - mylineColor = self.HAPLOTYPE_HETEROZYGOUS - else: - mylineColor = self.HAPLOTYPE_RECOMBINATION # XZ: Unknown + geneYLocation = yPaddingTop + self.NUM_GENE_ROWS * (self.EACH_GENE_HEIGHT)*zoom + if self.dataset.group.species == "mouse" or self.dataset.group.species == "rat": + geneYLocation += 4*self.BAND_HEIGHT + 4*self.BAND_SPACING + else: + geneYLocation += 3*self.BAND_HEIGHT + 3*self.BAND_SPACING + + if _chr[j].name != " - " : + + if (firstGene == 1) and (lastGene != 1): + oldgeneEndPix = drawStart = xLeftOffset + oldgeno = _chr[j].genotype + continue + + for k, _geno in enumerate (_chr[j].genotype): + plotbxd=0 + for item in smd: + if item.name == samplelist[k]: + plotbxd=1 + + if (plotbxd == 1): + ind = 0 + counter = 0 + for item in smd: + counter = counter + 1 + if item.name == samplelist[k]: + ind = counter + maxind=max(ind,maxind) + + # lines + if (oldgeno[k] == -1 and _geno == -1): + mylineColor = self.HAPLOTYPE_NEGATIVE + elif (oldgeno[k] == 1 and _geno == 1): + mylineColor = self.HAPLOTYPE_POSITIVE + elif (oldgeno[k] == 0 and _geno == 0): + mylineColor = self.HAPLOTYPE_HETEROZYGOUS + else: + mylineColor = self.HAPLOTYPE_RECOMBINATION # XZ: Unknown + + canvas.drawLine(drawStart, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, drawEnd, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, color = mylineColor, width=zoom*(self.EACH_GENE_HEIGHT+2)) + + fillColor=pid.black + outlineColor=pid.black + if lastGene == 0: + canvas.drawRect(geneStartPix, geneYLocation+2*ind*self.EACH_GENE_HEIGHT*zoom, geneEndPix, geneYLocation+2*ind*self.EACH_GENE_HEIGHT+ 2*self.EACH_GENE_HEIGHT*zoom, edgeColor = outlineColor, fillColor = fillColor) + + + COORDS = "%d, %d, %d, %d" %(geneStartPix, geneYLocation+ind*self.EACH_GENE_HEIGHT, geneEndPix+1, (geneYLocation + ind*self.EACH_GENE_HEIGHT)) + TITLE = "Strain: %s, marker (%s) \n Position %2.3f Mb." % (samplelist[k], _chr[j].name, float(txStart)) + HREF = '' + gifmap.areas.append(HT.Area(shape='rect',coords=COORDS,href=HREF, title=TITLE)) + + # if there are no more markers in a chromosome, the plotRight value calculated above will be before the plotWidth + # resulting in some empty space on the right side of the plot area. This draws an "unknown" bar from plotRight to the edge. + if (plotRight < (xLeftOffset + plotWidth - 3)) and (lastGene == 0): + drawEnd = xLeftOffset + plotWidth - 6 + mylineColor = self.HAPLOTYPE_RECOMBINATION + canvas.drawLine(plotRight, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, drawEnd, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, color = mylineColor, width=zoom*(self.EACH_GENE_HEIGHT+2)) - canvas.drawLine(drawStart, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, drawEnd, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, color = mylineColor, width=zoom*(self.EACH_GENE_HEIGHT+2)) - fillColor=pid.black - outlineColor=pid.black if lastGene == 0: - canvas.drawRect(geneStartPix, geneYLocation+2*ind*self.EACH_GENE_HEIGHT*zoom, geneEndPix, geneYLocation+2*ind*self.EACH_GENE_HEIGHT+ 2*self.EACH_GENE_HEIGHT*zoom, edgeColor = outlineColor, fillColor = fillColor) - - - COORDS = "%d, %d, %d, %d" %(geneStartPix, geneYLocation+ind*self.EACH_GENE_HEIGHT, geneEndPix+1, (geneYLocation + ind*self.EACH_GENE_HEIGHT)) - TITLE = "Strain: %s, marker (%s) \n Position %2.3f Mb." % (samplelist[j], self.genotype[0][i].name, float(txStart)) - HREF = '' - gifmap.areas.append(HT.Area(shape='rect',coords=COORDS,href=HREF, title=TITLE)) + canvas.drawString("%s" % (_chr[j].name), geneStartPix , geneYLocation+17+2*maxind*self.EACH_GENE_HEIGHT*zoom, font=pid.Font(ttf="verdana", size=12, bold=0), color=pid.black, angle=-90) - # if there are no more markers in a chromosome, the plotRight value calculated above will be before the plotWidth - # resulting in some empty space on the right side of the plot area. This draws an "unknown" bar from plotRight to the edge. - if (plotRight < (xLeftOffset + plotWidth - 3)) and (lastGene == 0): - drawEnd = xLeftOffset + plotWidth - 6 - mylineColor = self.HAPLOTYPE_RECOMBINATION - canvas.drawLine(plotRight, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, drawEnd, geneYLocation+7+2*ind*self.EACH_GENE_HEIGHT*zoom, color = mylineColor, width=zoom*(self.EACH_GENE_HEIGHT+2)) - - - if lastGene == 0: - canvas.drawString("%s" % (self.genotype[0][i].name), geneStartPix , geneYLocation+17+2*maxind*self.EACH_GENE_HEIGHT*zoom, font=pid.Font(ttf="verdana", size=12, bold=0), color=pid.black, angle=-90) - - oldgeneEndPix = geneEndPix; - oldgeno = self.genotype[0][i].genotype - firstGene = 0 - else: - lastGene = 0 + oldgeneEndPix = geneEndPix; + oldgeno = _chr[j].genotype + firstGene = 0 + else: + lastGene = 0 - for j, _geno in enumerate (self.genotype[0][1].genotype): + for i, _chr in enumerate(self.genotype): + if _chr.name == self.ChrList[self.selectedChr][0]: + for j, _geno in enumerate(_chr[1].genotype): - plotbxd=0 - for item in smd: - if item.name == samplelist[j]: - plotbxd=1 + plotbxd=0 + for item in smd: + if item.name == samplelist[j]: + plotbxd=1 - if (plotbxd == 1): + if (plotbxd == 1): - ind = 0 - counter = 0 - expr = 0 - for item in smd: - counter = counter + 1 - if item.name == samplelist[j]: - ind = counter - expr = item.value + ind = 0 + counter = 0 + expr = 0 + for item in smd: + counter = counter + 1 + if item.name == samplelist[j]: + ind = counter + expr = item.value - # Place where font is hardcoded - canvas.drawString("%s" % (samplelist[j]), (xLeftOffset + plotWidth + 10) , geneYLocation+8+2*ind*self.EACH_GENE_HEIGHT*zoom, font=pid.Font(ttf="verdana", size=12, bold=0), color=pid.black) - canvas.drawString("%2.2f" % (expr), (xLeftOffset + plotWidth + 60) , geneYLocation+8+2*ind*self.EACH_GENE_HEIGHT*zoom, font=pid.Font(ttf="verdana", size=12, bold=0), color=pid.black) + # Place where font is hardcoded + canvas.drawString("%s" % (samplelist[j]), (xLeftOffset + plotWidth + 10) , geneYLocation+8+2*ind*self.EACH_GENE_HEIGHT*zoom, font=pid.Font(ttf="verdana", size=12, bold=0), color=pid.black) + canvas.drawString("%2.2f" % (expr), (xLeftOffset + plotWidth + 60) , geneYLocation+8+2*ind*self.EACH_GENE_HEIGHT*zoom, font=pid.Font(ttf="verdana", size=12, bold=0), color=pid.black) ## END HaplotypeAnalyst @@ -1376,9 +1441,9 @@ class MarkerRegression(object): if self.dataset.group.species == "mouse" or self.dataset.group.species == "rat": PHENOGEN_COORDS = "%d, %d, %d, %d" % (xBrowse1, phenogenPaddingTop, xBrowse2, (phenogenPaddingTop+self.BAND_HEIGHT)) if self.dataset.group.species == "mouse": - PHENOGEN_HREF = "https://phenogen.ucdenver.edu/PhenoGen/gene.jsp?speciesCB=Mm&auto=Y&geneTxt=chr%s:%d-%d&genomeVer=mm10" % (self.selectedChr, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) + PHENOGEN_HREF = "https://phenogen.org/gene.jsp?speciesCB=Mm&auto=Y&geneTxt=chr%s:%d-%d&genomeVer=mm10" % (self.selectedChr, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) else: - PHENOGEN_HREF = "https://phenogen.ucdenver.edu/PhenoGen/gene.jsp?speciesCB=Mm&auto=Y&geneTxt=chr%s:%d-%d&genomeVer=mm10" % (self.selectedChr, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) + PHENOGEN_HREF = "https://phenogen.org/gene.jsp?speciesCB=Mm&auto=Y&geneTxt=chr%s:%d-%d&genomeVer=mm10" % (self.selectedChr, max(0, calBase-flankingWidthInBases), calBase+flankingWidthInBases) PHENOGEN_TITLE = "Click to view this section of the genome in PhenoGen" gifmap.areas.append(HT.Area(shape='rect',coords=PHENOGEN_COORDS,href=PHENOGEN_HREF, title=PHENOGEN_TITLE)) canvas.drawRect(xBrowse1, phenogenPaddingTop, xBrowse2, (phenogenPaddingTop+self.BAND_HEIGHT), edgeColor=self.CLICKABLE_PHENOGEN_REGION_COLOR, fillColor=self.CLICKABLE_PHENOGEN_REGION_COLOR) @@ -1606,10 +1671,6 @@ class MarkerRegression(object): INTERCROSS = (self.genotype.type=="intercross") - LRSHeightThresh = drawAreaHeight - AdditiveHeightThresh = drawAreaHeight/2 - DominanceHeightThresh = drawAreaHeight/2 - #draw the LRS scale #We first determine whether or not we are using a sliding scale. #If so, we need to compute the maximum LRS value to determine where the max y-value should be, and call this LRS_LOD_Max. @@ -1646,7 +1707,9 @@ class MarkerRegression(object): pass if self.permChecked and self.nperm > 0 and not self.multipleInterval: - LRS_LOD_Max = max(self.significant, LRS_LOD_Max) + if self.significant > LRS_LOD_Max: + LRS_LOD_Max = self.significant * 1.1 + #LRS_LOD_Max = max(self.significant, LRS_LOD_Max) else: LRS_LOD_Max = 1.15*LRS_LOD_Max @@ -1655,6 +1718,25 @@ class MarkerRegression(object): else: LRS_LOD_Max = self.lrsMax + #ZS: Needed to pass to genome browser + js_data = json.loads(self.js_data) + if self.LRS_LOD == "LRS": + js_data['max_score'] = LRS_LOD_Max/4.61 + else: + js_data['max_score'] = LRS_LOD_Max + self.js_data = json.dumps(js_data) + + LRSScaleFont=pid.Font(ttf="verdana", size=16*zoom, bold=0) + LRSLODFont=pid.Font(ttf="verdana", size=18*zoom*1.5, bold=0) + + yZero = yTopOffset + plotHeight + LRSHeightThresh = drawAreaHeight + AdditiveHeightThresh = drawAreaHeight/2 + DominanceHeightThresh = drawAreaHeight/2 + # LRSHeightThresh = (yZero - yTopOffset + 30*(zoom - 1)) + # AdditiveHeightThresh = LRSHeightThresh/2 + # DominanceHeightThresh = LRSHeightThresh/2 + if LRS_LOD_Max > 100: LRSScale = 20.0 elif LRS_LOD_Max > 20: @@ -1667,28 +1749,45 @@ class MarkerRegression(object): LRSAxisList = Plot.frange(LRSScale, LRS_LOD_Max, LRSScale) #make sure the user's value appears on the y-axis #update by NL 6-21-2011: round the LOD value to 100 when LRS_LOD_Max is equal to 460 - LRSAxisList.append(round(LRS_LOD_Max)) + LRSAxisList.append(ceil(LRS_LOD_Max)) - #draw the "LRS" or "LOD" string to the left of the axis - LRSScaleFont=pid.Font(ttf="verdana", size=16*zoom, bold=0) - LRSLODFont=pid.Font(ttf="verdana", size=18*zoom*1.5, bold=0) - yZero = yTopOffset + plotHeight + #ZS: Convert to int if all axis values are whole numbers + all_int = True + for item in LRSAxisList: + if item.is_integer(): + continue + else: + all_int = False + break - canvas.drawString(self.LRS_LOD, xLeftOffset - canvas.stringWidth("999.99", font=LRSScaleFont) - 15*(zoom-1), \ + if all_int: + max_lrs_width = canvas.stringWidth("%d" % LRS_LOD_Max, font=LRSScaleFont) + 30 + else: + max_lrs_width = canvas.stringWidth("%2.1f" % LRS_LOD_Max, font=LRSScaleFont) + 20 + + #draw the "LRS" or "LOD" string to the left of the axis + canvas.drawString(self.LRS_LOD, xLeftOffset - max_lrs_width - 15*(zoom-1), \ yZero - 150 - 300*(zoom - 1), font=LRSLODFont, color=pid.black, angle=90) for item in LRSAxisList: if LRS_LOD_Max == 0.0: LRS_LOD_Max = 0.000001 + yTopOffset + 30*(zoom - 1) yLRS = yZero - (item/LRS_LOD_Max) * LRSHeightThresh + #yLRS = yZero - (item/LRSAxisList[-1]) * LRSHeightThresh canvas.drawLine(xLeftOffset, yLRS, xLeftOffset - 4, yLRS, color=self.LRS_COLOR, width=1*zoom) - scaleStr = "%2.1f" % item + if all_int: + scaleStr = "%d" % item + else: + scaleStr = "%2.1f" % item #Draw the LRS/LOD Y axis label canvas.drawString(scaleStr, xLeftOffset-4-canvas.stringWidth(scaleStr, font=LRSScaleFont)-5, yLRS+3, font=LRSScaleFont, color=self.LRS_COLOR) if self.permChecked and self.nperm > 0 and not self.multipleInterval: significantY = yZero - self.significant*LRSHeightThresh/LRS_LOD_Max suggestiveY = yZero - self.suggestive*LRSHeightThresh/LRS_LOD_Max + # significantY = yZero - self.significant*LRSHeightThresh/LRSAxisList[-1] + # suggestiveY = yZero - self.suggestive*LRSHeightThresh/LRSAxisList[-1] startPosX = xLeftOffset #"Significant" and "Suggestive" Drawing Routine @@ -1752,11 +1851,10 @@ class MarkerRegression(object): m = 0 thisLRSColor = self.colorCollection[0] if qtlresult['chr'] != previous_chr and self.selectedChr == -1: - if self.manhattan_plot != True: canvas.drawPolygon(LRSCoordXY,edgeColor=thisLRSColor,closed=0, edgeWidth=lrsEdgeWidth, clipX=(xLeftOffset, xLeftOffset + plotWidth)) - if not self.multipleInterval and not self.manhattan_plot and self.additiveChecked: + if not self.multipleInterval and self.additiveChecked: plusColor = self.ADDITIVE_COLOR_POSITIVE minusColor = self.ADDITIVE_COLOR_NEGATIVE for k, aPoint in enumerate(AdditiveCoordXY): @@ -1796,38 +1894,69 @@ class MarkerRegression(object): oldStartPosX = newStartPosX #ZS: This is beause the chromosome value stored in qtlresult['chr'] can be (for example) either X or 20 depending upon the mapping method/scale used - if self.plotScale == "physic": - this_chr = str(self.ChrList[self.selectedChr][0]) - else: + this_chr = str(self.ChrList[self.selectedChr][0]) + if self.plotScale != "physic": this_chr = str(self.ChrList[self.selectedChr][1]+1) + if self.selectedChr == -1 or str(qtlresult['chr']) == this_chr: - Xc = startPosX + (qtlresult['Mb']-startMb)*plotXScale + if self.plotScale != "physic" and self.genotype.filler == True: + if self.selectedChr != -1: + start_cm = self.genotype[self.selectedChr - 1][0].cM + Xc = startPosX + (qtlresult['Mb'] - start_cm)*plotXScale + else: + start_cm = self.genotype[previous_chr_as_int][0].cM + Xc = startPosX + ((qtlresult['Mb']-start_cm-startMb)*plotXScale)*(((qtlresult['Mb']-start_cm-startMb)*plotXScale)/((qtlresult['Mb']-start_cm-startMb+self.GraphInterval)*plotXScale)) + else: + Xc = startPosX + (qtlresult['Mb']-startMb)*plotXScale + # updated by NL 06-18-2011: # fix the over limit LRS graph issue since genotype trait may give infinite LRS; # for any lrs is over than 460(LRS max in this system), it will be reset to 460 + + yLRS = yZero - (item/LRS_LOD_Max) * LRSHeightThresh + + if 'lrs_value' in qtlresult: if self.LRS_LOD == "LOD" or self.LRS_LOD == "-log(p)": if qtlresult['lrs_value'] > 460 or qtlresult['lrs_value']=='inf': + #Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/(LRSAxisList[-1]*self.LODFACTOR) Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/(LRS_LOD_Max*self.LODFACTOR) else: + #Yc = yZero - qtlresult['lrs_value']*LRSHeightThresh/(LRSAxisList[-1]*self.LODFACTOR) Yc = yZero - qtlresult['lrs_value']*LRSHeightThresh/(LRS_LOD_Max*self.LODFACTOR) else: if qtlresult['lrs_value'] > 460 or qtlresult['lrs_value']=='inf': + #Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/LRSAxisList[-1] Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/LRS_LOD_Max else: + #Yc = yZero - qtlresult['lrs_value']*LRSHeightThresh/LRSAxisList[-1] Yc = yZero - qtlresult['lrs_value']*LRSHeightThresh/LRS_LOD_Max else: if qtlresult['lod_score'] > 100 or qtlresult['lod_score']=='inf': + #Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/LRSAxisList[-1] Yc = yZero - webqtlConfig.MAXLRS*LRSHeightThresh/LRS_LOD_Max else: if self.LRS_LOD == "LRS": + #Yc = yZero - qtlresult['lod_score']*self.LODFACTOR*LRSHeightThresh/LRSAxisList[-1] Yc = yZero - qtlresult['lod_score']*self.LODFACTOR*LRSHeightThresh/LRS_LOD_Max else: + #Yc = yZero - qtlresult['lod_score']*LRSHeightThresh/LRSAxisList[-1] Yc = yZero - qtlresult['lod_score']*LRSHeightThresh/LRS_LOD_Max if self.manhattan_plot == True: - point_color = pid.black - canvas.drawString("5", Xc-canvas.stringWidth("5",font=symbolFont)/2+1,Yc+2,color=point_color, font=symbolFont) + if self.selectedChr == -1 and (previous_chr_as_int % 2 == 1): + point_color = pid.red + else: + point_color = pid.blue + + final_x_pos = Xc-canvas.stringWidth("5",font=symbolFont)/2+1 + if final_x_pos > (xLeftOffset + plotWidth): + continue + #break ZS: This is temporary until issue with sorting for GEMMA is fixed + elif final_x_pos < xLeftOffset: + continue + else: + canvas.drawString("5", final_x_pos,Yc+2,color=point_color, font=symbolFont) else: LRSCoordXY.append((Xc, Yc)) @@ -2004,16 +2133,16 @@ class MarkerRegression(object): ######################################### # Permutation Graph ######################################### - myCanvas = pid.PILCanvas(size=(400,300)) + myCanvas = pid.PILCanvas(size=(500,300)) if 'lod_score' in self.qtlresults[0] and self.LRS_LOD == "LRS": - perm_output = [value*4.16 for value in self.perm_output] + perm_output = [value*4.61 for value in self.perm_output] elif 'lod_score' not in self.qtlresults[0] and self.LRS_LOD == "LOD": - perm_output = [value/4.16 for value in self.perm_output] + perm_output = [value/4.61 for value in self.perm_output] else: perm_output = self.perm_output - Plot.plotBar(myCanvas, perm_output, XLabel=self.LRS_LOD, YLabel='Frequency', title=' Histogram of Permutation Test') filename= webqtlUtil.genRandStr("Reg_") + Plot.plotBar(myCanvas, perm_output, XLabel=self.LRS_LOD, YLabel='Frequency', title=' Histogram of Permutation Test') myCanvas.save(GENERATED_IMAGE_DIR+filename, format='gif') return filename @@ -2079,7 +2208,7 @@ class MarkerRegression(object): tableIterationsCnt = tableIterationsCnt + 1 this_row = [] #container for the cells of each row - selectCheck = HT.Input(type="checkbox", name="searchResult", value=theGO["GeneSymbol"], Class="checkbox", onClick="highlight(this)") #checkbox for each row + selectCheck = HT.Input(type="checkbox", name="selectCheck", value=theGO["GeneSymbol"], Class="checkbox trait_checkbox") #checkbox for each row geneLength = (theGO["TxEnd"] - theGO["TxStart"])*1000.0 tenPercentLength = geneLength*0.0001 @@ -2089,7 +2218,6 @@ class MarkerRegression(object): if self.ALEX_DEBUG_BOOL_PRINT_GENE_LIST: geneIdString = 'http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene&cmd=Retrieve&dopt=Graphics&list_uids=%s' % theGO["GeneID"] - allProbeString = '%s?cmd=sch&gene=%s&alias=1' % (os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE), theGO["GeneSymbol"]) if theGO["snpCount"]: snpString = HT.Href(url="http://genenetwork.org/webqtl/main.py?FormID=snpBrowser&chr=%s&start=%s&end=%s&geneName=%s&s1=%d&s2=%d" % (theGO["Chromosome"], theGO["TxStart"], theGO["TxEnd"], theGO["GeneSymbol"], self.diffCol[0], self.diffCol[1]), @@ -2114,9 +2242,8 @@ class MarkerRegression(object): humanStartString = humanChr = humanStartDisplay = "--" geneDescription = theGO["GeneDescription"] - if len(geneDescription) > 26: - geneDescription = geneDescription[:26]+"..." - probeSetSearch = HT.Href(allProbeString, ">>", target="_blank") + if len(geneDescription) > 70: + geneDescription = geneDescription[:70]+"..." if theGO["snpDensity"] < 0.000001: snpDensityStr = "0" @@ -2139,7 +2266,7 @@ class MarkerRegression(object): this_row = [selectCheck.__str__(), str(tableIterationsCnt), - HT.Href(geneIdString, theGO["GeneSymbol"], target="_blank").__str__() + " " + probeSetSearch.__str__(), + HT.Href(geneIdString, theGO["GeneSymbol"], target="_blank").__str__(), HT.Href(mouseStartString, "%0.6f" % txStart, target="_blank").__str__(), HT.Href("javascript:rangeView('%s', %f, %f)" % (str(chr_as_int), txStart-tenPercentLength, txEnd+tenPercentLength), "%0.3f" % geneLength).__str__(), snpString, @@ -2152,7 +2279,7 @@ class MarkerRegression(object): else: this_row = [selectCheck.__str__(), str(tableIterationsCnt), - HT.Href(geneIdString, theGO["GeneSymbol"], target="_blank").__str__() + " " + probeSetSearch.__str__(), + HT.Href(geneIdString, theGO["GeneSymbol"], target="_blank").__str__(), HT.Href(mouseStartString, "%0.6f" % txStart, target="_blank").__str__(), HT.Href("javascript:rangeView('%s', %f, %f)" % (str(chr_as_int), txStart-tenPercentLength, txEnd+tenPercentLength), "%0.3f" % geneLength).__str__(), snpString, @@ -2167,9 +2294,10 @@ class MarkerRegression(object): elif self.dataset.group.species == 'rat': for gIndex, theGO in enumerate(geneCol): this_row = [] #container for the cells of each row - selectCheck = HT.Input(type="checkbox", name="searchResult", Class="checkbox", onClick="highlight(this)").__str__() #checkbox for each row + selectCheck = HT.Input(type="checkbox", name="selectCheck", Class="checkbox trait_checkbox").__str__() #checkbox for each row - webqtlSearch = HT.Href(os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE)+"?cmd=sch&gene=%s&alias=1&species=rat" % theGO["GeneSymbol"], ">>", target="_blank").__str__() + #ZS: May want to get this working again later + #webqtlSearch = HT.Href(os.path.join(webqtlConfig.CGIDIR, webqtlConfig.SCRIPTFILE)+"?cmd=sch&gene=%s&alias=1&species=rat" % theGO["GeneSymbol"], ">>", target="_blank").__str__() if theGO["GeneID"] != "": geneSymbolNCBI = HT.Href("http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene&cmd=Retrieve&dopt=Graphics&list_uids=%s" % theGO["GeneID"], theGO["GeneSymbol"], Class="normalsize", target="_blank").__str__() @@ -2193,14 +2321,14 @@ class MarkerRegression(object): #Mouse Gene if theGO['mouseGene']: mouseChr = theGO['mouseGene']["Chromosome"] - mouseTxStart = theGO['mouseGene']["TxStart"] + mouseTxStart = "%0.6f" % theGO['mouseGene']["TxStart"] else: mouseChr = mouseTxStart = "" #the chromosomes for human 1 are 1qXX.XX if theGO['humanGene']: humanChr = theGO['humanGene']["Chromosome"] - humanTxStart = theGO['humanGene']["TxStart"] + humanTxStart = "%0.6f" % theGO['humanGene']["TxStart"] else: humanChr = humanTxStart = "" @@ -2210,8 +2338,8 @@ class MarkerRegression(object): this_row = [selectCheck.__str__(), str(gIndex+1), - webqtlSearch.__str__() + geneSymbolNCBI, - theGO["TxStart"], + geneSymbolNCBI, + "%0.6f" % theGO["TxStart"], HT.Href(geneLengthURL, "%0.3f" % (geneLength*1000.0)).__str__(), avgExprVal, mouseChr, diff --git a/wqflask/wqflask/marker_regression/gemma_mapping.py b/wqflask/wqflask/marker_regression/gemma_mapping.py index 3d04e592..e2b15c26 100644 --- a/wqflask/wqflask/marker_regression/gemma_mapping.py +++ b/wqflask/wqflask/marker_regression/gemma_mapping.py @@ -3,13 +3,16 @@ import os, math, string, random, json from base import webqtlConfig from base.trait import GeneralTrait from base.data_set import create_dataset - -from utility.tools import flat_files, GEMMA_COMMAND, GEMMA_WRAPPER_COMMAND, TEMPDIR +from utility.tools import flat_files, GEMMA_COMMAND, GEMMA_WRAPPER_COMMAND, TEMPDIR, WEBSERVER_MODE import utility.logger logger = utility.logger.getLogger(__name__ ) -def run_gemma(this_dataset, samples, vals, covariates, use_loco): +GEMMAOPTS = "-debug" +if WEBSERVER_MODE == 'PROD': + GEMMAOPTS = "-no-check" + +def run_gemma(this_trait, this_dataset, samples, vals, covariates, use_loco, maf=0.01, first_run=True, output_files=None): """Generates p-values for each marker using GEMMA""" if this_dataset.group.genofile != None: @@ -17,97 +20,109 @@ def run_gemma(this_dataset, samples, vals, covariates, use_loco): else: genofile_name = this_dataset.group.name - gen_pheno_txt_file(this_dataset, genofile_name, vals) - - if not os.path.isfile("{}{}_output.assoc.txt".format(webqtlConfig.GENERATED_IMAGE_DIR, genofile_name)): - open("{}{}_output.assoc.txt".format(webqtlConfig.GENERATED_IMAGE_DIR, genofile_name), "w+") - - this_chromosomes = this_dataset.species.chromosomes.chromosomes - chr_list_string = "" - for i in range(len(this_chromosomes)): - if i < (len(this_chromosomes) - 1): - chr_list_string += this_chromosomes[i+1].name + "," - else: - chr_list_string += this_chromosomes[i+1].name - - if covariates != "": - gen_covariates_file(this_dataset, covariates) - - if use_loco == "True": - k_output_filename = this_dataset.group.name + "_K_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) - generate_k_command = GEMMA_WRAPPER_COMMAND + ' --json --loco ' + chr_list_string + ' -- -g %s/%s_geno.txt -p %s/%s_pheno.txt -a %s/%s_snps.txt -gk -debug > %s/gn2/%s.json' % (flat_files('genotype/bimbam'), - genofile_name, - flat_files('genotype/bimbam'), - genofile_name, - flat_files('genotype/bimbam'), - genofile_name, - TEMPDIR, - k_output_filename) - logger.debug("k_command:" + generate_k_command) - os.system(generate_k_command) - - gemma_command = GEMMA_WRAPPER_COMMAND + ' --json --loco --input %s/gn2/%s.json -- -g %s/%s_geno.txt -p %s/%s_pheno.txt' % (TEMPDIR, - k_output_filename, - flat_files('genotype/bimbam'), - genofile_name, - flat_files('genotype/bimbam'), - genofile_name) - - gwa_output_filename = this_dataset.group.name + "_GWA_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) - if covariates != "": - gemma_command += ' -c %s/%s_covariates.txt -a %s/%s_snps.txt -lmm 2 -maf 0.1 -debug > %s/gn2/%s.json' % (flat_files('mapping'), - this_dataset.group.name, - flat_files('genotype/bimbam'), - genofile_name, - TEMPDIR, - gwa_output_filename) - else: - gemma_command += ' -a %s/%s_snps.txt -lmm 2 -maf 0.1 -debug > %s/gn2/%s.json' % (flat_files('genotype/bimbam'), - genofile_name, - TEMPDIR, - gwa_output_filename) - + if first_run: + trait_filename = str(this_trait.name) + "_" + str(this_dataset.name) + "_pheno" + gen_pheno_txt_file(this_dataset, genofile_name, vals, trait_filename) + + if not os.path.isfile("{}{}_output.assoc.txt".format(webqtlConfig.GENERATED_IMAGE_DIR, genofile_name)): + open("{}{}_output.assoc.txt".format(webqtlConfig.GENERATED_IMAGE_DIR, genofile_name), "w+") + + k_output_filename = this_dataset.group.name + "_K_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) + gwa_output_filename = this_dataset.group.name + "_GWA_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) + + this_chromosomes = this_dataset.species.chromosomes.chromosomes + chr_list_string = "" + for i in range(len(this_chromosomes)): + if i < (len(this_chromosomes) - 1): + chr_list_string += this_chromosomes[i+1].name + "," + else: + chr_list_string += this_chromosomes[i+1].name + + if covariates != "": + gen_covariates_file(this_dataset, covariates, samples) + + if use_loco == "True": + generate_k_command = GEMMA_WRAPPER_COMMAND + ' --json --loco ' + chr_list_string + ' -- ' + GEMMAOPTS + ' -g %s/%s_geno.txt -p %s/gn2/%s.txt -a %s/%s_snps.txt -gk > %s/gn2/%s.json' % (flat_files('genotype/bimbam'), + genofile_name, + TEMPDIR, + trait_filename, + flat_files('genotype/bimbam'), + genofile_name, + TEMPDIR, + k_output_filename) + logger.debug("k_command:" + generate_k_command) + os.system(generate_k_command) + + gemma_command = GEMMA_WRAPPER_COMMAND + ' --json --loco --input %s/gn2/%s.json -- ' % (TEMPDIR, k_output_filename) + GEMMAOPTS + ' -g %s/%s_geno.txt -p %s/gn2/%s.txt' % (flat_files('genotype/bimbam'), + genofile_name, + TEMPDIR, + trait_filename) + if covariates != "": + gemma_command += ' -c %s/%s_covariates.txt -a %s/%s_snps.txt -lmm 2 -maf %s > %s/gn2/%s.json' % (flat_files('mapping'), + this_dataset.group.name, + flat_files('genotype/bimbam'), + genofile_name, + maf, + TEMPDIR, + gwa_output_filename) + else: + gemma_command += ' -a %s/%s_snps.txt -lmm 2 -maf %s > %s/gn2/%s.json' % (flat_files('genotype/bimbam'), + genofile_name, + maf, + TEMPDIR, + gwa_output_filename) + + else: + generate_k_command = GEMMA_WRAPPER_COMMAND + ' --json -- ' + GEMMAOPTS + ' -g %s/%s_geno.txt -p %s/gn2/%s.txt -a %s/%s_snps.txt -gk > %s/gn2/%s.json' % (flat_files('genotype/bimbam'), + genofile_name, + TEMPDIR, + trait_filename, + flat_files('genotype/bimbam'), + genofile_name, + TEMPDIR, + k_output_filename) + + logger.debug("k_command:" + generate_k_command) + os.system(generate_k_command) + + gemma_command = GEMMA_WRAPPER_COMMAND + ' --json --input %s/gn2/%s.json -- ' % (TEMPDIR, k_output_filename) + GEMMAOPTS + ' -a %s/%s_snps.txt -lmm 2 -g %s/%s_geno.txt -p %s/gn2/%s.txt' % (flat_files('genotype/bimbam'), + genofile_name, + flat_files('genotype/bimbam'), + genofile_name, + TEMPDIR, + trait_filename) + + + if covariates != "": + gemma_command += ' -c %s/%s_covariates.txt > %s/gn2/%s.json' % (flat_files('mapping'), this_dataset.group.name, TEMPDIR, gwa_output_filename) + else: + gemma_command += ' > %s/gn2/%s.json' % (TEMPDIR, gwa_output_filename) + + + logger.debug("gemma_command:" + gemma_command) + os.system(gemma_command) else: - gemma_command = GEMMA_COMMAND + ' -g %s/%s_geno.txt -p %s/%s_pheno.txt -a %s/%s_snps.txt -k %s/%s.cXX.txt -lmm 2 -maf 0.1' % (flat_files('genotype/bimbam'), - genofile_name, - flat_files('genotype/bimbam'), - genofile_name, - flat_files('genotype/bimbam'), - genofile_name, - flat_files('genotype/bimbam'), - genofile_name) - - if covariates != "": - gemma_command += ' -c %s/%s_covariates.txt -outdir %s -debug -o %s_output' % (flat_files('mapping'), - this_dataset.group.name, - webqtlConfig.GENERATED_IMAGE_DIR, - genofile_name) - else: - gemma_command += ' -outdir %s -debug -o %s_output' % (webqtlConfig.GENERATED_IMAGE_DIR, - genofile_name) - - logger.debug("gemma_command:" + gemma_command) - os.system(gemma_command) + gwa_output_filename = output_files if use_loco == "True": marker_obs = parse_loco_output(this_dataset, gwa_output_filename) + return marker_obs, gwa_output_filename else: - marker_obs = parse_gemma_output(genofile_name) - - return marker_obs + marker_obs = parse_loco_output(this_dataset, gwa_output_filename) + return marker_obs, gwa_output_filename -def gen_pheno_txt_file(this_dataset, genofile_name, vals): +def gen_pheno_txt_file(this_dataset, genofile_name, vals, trait_filename): """Generates phenotype file for GEMMA""" current_file_data = [] - with open("{}/{}_pheno.txt".format(flat_files('genotype/bimbam'), genofile_name), "w") as outfile: + with open("{}/gn2/{}.txt".format(TEMPDIR, trait_filename), "w") as outfile: for value in vals: if value == "x": outfile.write("NA\n") else: outfile.write(value + "\n") -def gen_covariates_file(this_dataset, covariates): +def gen_covariates_file(this_dataset, covariates, samples): covariate_list = covariates.split(",") covariate_data_object = [] for covariate in covariate_list: @@ -125,11 +140,12 @@ def gen_covariates_file(this_dataset, covariates): trait_sample_data = trait_ob.data logger.debug("SAMPLE DATA:", trait_sample_data) for index, sample in enumerate(trait_samples): - if sample in trait_sample_data: - sample_value = trait_sample_data[sample].value - this_covariate_data.append(sample_value) - else: - this_covariate_data.append("-9") + if sample in samples: + if sample in trait_sample_data: + sample_value = trait_sample_data[sample].value + this_covariate_data.append(sample_value) + else: + this_covariate_data.append("-9") covariate_data_object.append(this_covariate_data) with open("{}/{}_covariates.txt".format(flat_files('mapping'), this_dataset.group.name), "w") as outfile: @@ -187,7 +203,11 @@ def parse_loco_output(this_dataset, gwa_output_filename): marker_obs = [] previous_chr = 0 + no_results = False for this_file in output_filelist: + if not os.path.isfile(this_file): + no_results = True + break with open(this_file) as output_file: for line in output_file: if line.startswith("chr\t"): @@ -195,7 +215,7 @@ def parse_loco_output(this_dataset, gwa_output_filename): else: marker = {} marker['name'] = line.split("\t")[1] - if line.split("\t")[0] != "X" and line.split("\t")[0] != "X/Y": + if line.split("\t")[0] != "X" and line.split("\t")[0] != "X/Y" and line.split("\t")[0] != "Y" and line.split("\t")[0] != "M": if "chr" in line.split("\t")[0]: marker['chr'] = int(line.split("\t")[0][3:]) else: diff --git a/wqflask/wqflask/marker_regression/marker_regression.py b/wqflask/wqflask/marker_regression/marker_regression.py deleted file mode 100644 index 033fa2a4..00000000 --- a/wqflask/wqflask/marker_regression/marker_regression.py +++ /dev/null @@ -1,660 +0,0 @@ -from __future__ import absolute_import, print_function, division - -from base.trait import GeneralTrait -from base import data_set #import create_dataset - -from pprint import pformat as pf - -import string -import math -import random -import sys -import datetime -import os -import collections -import uuid - -import rpy2.robjects as ro -import numpy as np - -import cPickle as pickle -import itertools - -import simplejson as json - -from redis import Redis -Redis = Redis() - -from flask import Flask, g - -from base.trait import GeneralTrait -from base import data_set -from base import species -from base import webqtlConfig -from utility import webqtlUtil -from utility import helper_functions -from utility import Plot, Bunch -from utility import temp_data -from utility.benchmark import Bench -from wqflask.marker_regression import gemma_mapping, rqtl_mapping, qtlreaper_mapping, plink_mapping - -from utility.tools import locate, locate_ignore_error, PYLMM_COMMAND, GEMMA_COMMAND, PLINK_COMMAND, TEMPDIR -from utility.external import shell -from base.webqtlConfig import TMPDIR, GENERATED_TEXT_DIR - -import utility.logger -logger = utility.logger.getLogger(__name__ ) - -class MarkerRegression(object): - - def __init__(self, start_vars, temp_uuid): - - helper_functions.get_species_dataset_trait(self, start_vars) - - self.temp_uuid = temp_uuid #needed to pass temp_uuid to gn1 mapping code (marker_regression_gn1.py) - - self.json_data = {} - self.json_data['lodnames'] = ['lod.hk'] - - self.samples = [] # Want only ones with values - self.vals = [] - - all_samples_ordered = self.dataset.group.all_samples_ordered() - primary_sample_names = list(all_samples_ordered) - - for sample in self.dataset.group.samplelist: - # sample is actually the name of an individual - in_trait_data = False - for item in self.this_trait.data: - if self.this_trait.data[item].name == sample: - value = start_vars['value:' + self.this_trait.data[item].name] - self.samples.append(self.this_trait.data[item].name) - self.vals.append(value) - in_trait_data = True - break - if not in_trait_data: - value = start_vars.get('value:' + sample) - if value: - self.samples.append(sample) - self.vals.append(value) - - #ZS: Check if genotypes exist in the DB in order to create links for markers - if "geno_db_exists" in start_vars: - self.geno_db_exists = start_vars['geno_db_exists'] - else: - try: - self.geno_db_exists = "True" - except: - self.geno_db_exists = "False" - - self.mapping_method = start_vars['method'] - if "results_path" in start_vars: - self.mapping_results_path = start_vars['results_path'] - else: - mapping_results_filename = self.dataset.group.name + "_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) - self.mapping_results_path = "{}{}.csv".format(webqtlConfig.GENERATED_IMAGE_DIR, mapping_results_filename) - - if start_vars['manhattan_plot'] == "True": - self.manhattan_plot = True - else: - self.manhattan_plot = False - - self.maf = start_vars['maf'] # Minor allele frequency - if "use_loco" in start_vars: - self.use_loco = start_vars['use_loco'] - else: - self.use_loco = None - self.suggestive = "" - self.significant = "" - self.pair_scan = False # Initializing this since it is checked in views to determine which template to use - self.score_type = "LRS" #ZS: LRS or LOD - self.mapping_scale = "physic" - self.num_perm = 0 - self.perm_output = [] - self.bootstrap_results = [] - self.covariates = start_vars['covariates'] if "covariates" in start_vars else None - - #ZS: This is passed to GN1 code for single chr mapping - self.selected_chr = -1 - if "selected_chr" in start_vars: - if int(start_vars['selected_chr']) != -1: #ZS: Needs to be -1 if showing full map; there's probably a better way to fix this - self.selected_chr = int(start_vars['selected_chr']) + 1 - else: - self.selected_chr = int(start_vars['selected_chr']) - if "startMb" in start_vars: - self.startMb = start_vars['startMb'] - if "endMb" in start_vars: - self.endMb = start_vars['endMb'] - if "graphWidth" in start_vars: - self.graphWidth = start_vars['graphWidth'] - if "lrsMax" in start_vars: - self.lrsMax = start_vars['lrsMax'] - if "haplotypeAnalystCheck" in start_vars: - self.haplotypeAnalystCheck = start_vars['haplotypeAnalystCheck'] - if "startMb" in start_vars: #ZS: This is to ensure showGenes, Legend, etc are checked the first time you open the mapping page, since startMb will only not be set during the first load - if "permCheck" in start_vars: - self.permCheck = "ON" - else: - self.permCheck = False - self.num_perm = int(start_vars['num_perm']) - - self.LRSCheck = start_vars['LRSCheck'] - - if "showSNP" in start_vars: - self.showSNP = start_vars['showSNP'] - else: - self.showSNP = False - - if "showGenes" in start_vars: - self.showGenes = start_vars['showGenes'] - else: - self.showGenes = False - - if "viewLegend" in start_vars: - self.viewLegend = start_vars['viewLegend'] - else: - self.viewLegend = False - else: - try: - if int(start_vars['num_perm']) > 0: - self.num_perm = int(start_vars['num_perm']) - except: - self.num_perm = 0 - - if self.num_perm > 0: - self.permCheck = "ON" - else: - self.permCheck = False - self.showSNP = "ON" - self.showGenes = "ON" - self.viewLegend = "ON" - - if 'genofile' in start_vars: - if start_vars['genofile'] != "": - self.genofile_string = start_vars['genofile'] - self.dataset.group.genofile = self.genofile_string.split(":")[0] - self.dataset.group.get_markers() - if self.mapping_method == "gemma": - self.score_type = "-log(p)" - self.manhattan_plot = True - with Bench("Running GEMMA"): - marker_obs = gemma_mapping.run_gemma(self.dataset, self.samples, self.vals, self.covariates, self.use_loco) - results = marker_obs - elif self.mapping_method == "rqtl_plink": - results = self.run_rqtl_plink() - elif self.mapping_method == "rqtl_geno": - self.score_type = "LOD" - self.mapping_scale = "morgan" - self.control_marker = start_vars['control_marker'] - self.do_control = start_vars['do_control'] - self.method = start_vars['mapmethod_rqtl_geno'] - self.model = start_vars['mapmodel_rqtl_geno'] - #if start_vars['pair_scan'] == "true": - # self.pair_scan = True - if self.permCheck and self.num_perm > 0: - self.perm_output, self.suggestive, self.significant, results = rqtl_mapping.run_rqtl_geno(self.vals, self.dataset, self.method, self.model, self.permCheck, self.num_perm, self.do_control, self.control_marker, self.manhattan_plot, self.pair_scan) - else: - results = rqtl_mapping.run_rqtl_geno(self.vals, self.dataset, self.method, self.model, self.permCheck, self.num_perm, self.do_control, self.control_marker, self.manhattan_plot, self.pair_scan) - elif self.mapping_method == "reaper": - if "startMb" in start_vars: #ZS: Check if first time page loaded, so it can default to ON - if "additiveCheck" in start_vars: - self.additiveCheck = start_vars['additiveCheck'] - else: - self.additiveCheck = False - - if "bootCheck" in start_vars: - self.bootCheck = "ON" - else: - self.bootCheck = False - self.num_bootstrap = int(start_vars['num_bootstrap']) - else: - self.additiveCheck = "ON" - try: - if int(start_vars['num_bootstrap']) > 0: - self.bootCheck = "ON" - self.num_bootstrap = int(start_vars['num_bootstrap']) - else: - self.bootCheck = False - self.num_bootstrap = 0 - except: - self.bootCheck = False - self.num_bootstrap = 0 - - self.control_marker = start_vars['control_marker'] - self.do_control = start_vars['do_control'] - logger.info("Running qtlreaper") - results, self.json_data, self.perm_output, self.suggestive, self.significant, self.bootstrap_results = qtlreaper_mapping.gen_reaper_results(self.this_trait, - self.dataset, - self.samples, - self.vals, - self.json_data, - self.num_perm, - self.bootCheck, - self.num_bootstrap, - self.do_control, - self.control_marker, - self.manhattan_plot) - elif self.mapping_method == "plink": - self.score_type = "-log(p)" - self.manhattan_plot = True - results = plink_mapping.run_plink(self.this_trait, self.dataset, self.species, self.vals, self.maf) - #results = self.run_plink() - elif self.mapping_method == "pylmm": - logger.debug("RUNNING PYLMM") - if self.num_perm > 0: - self.run_permutations(str(temp_uuid)) - results = self.gen_data(str(temp_uuid)) - else: - logger.debug("RUNNING NOTHING") - - if self.pair_scan == True: - self.qtl_results = [] - highest_chr = 1 #This is needed in order to convert the highest chr to X/Y - for marker in results: - if marker['chr1'] > 0 or marker['chr1'] == "X" or marker['chr1'] == "X/Y": - if marker['chr1'] > highest_chr or marker['chr1'] == "X" or marker['chr1'] == "X/Y": - highest_chr = marker['chr1'] - if 'lod_score' in marker.keys(): - self.qtl_results.append(marker) - - self.trimmed_markers = results - - for qtl in enumerate(self.qtl_results): - self.json_data['chr1'].append(str(qtl['chr1'])) - self.json_data['chr2'].append(str(qtl['chr2'])) - self.json_data['Mb'].append(qtl['Mb']) - self.json_data['markernames'].append(qtl['name']) - - self.js_data = dict( - json_data = self.json_data, - this_trait = self.this_trait.name, - data_set = self.dataset.name, - maf = self.maf, - manhattan_plot = self.manhattan_plot, - mapping_scale = self.mapping_scale, - qtl_results = self.qtl_results - ) - - else: - self.qtl_results = [] - highest_chr = 1 #This is needed in order to convert the highest chr to X/Y - for marker in results: - if marker['chr'] > 0 or marker['chr'] == "X" or marker['chr'] == "X/Y": - if marker['chr'] > highest_chr or marker['chr'] == "X" or marker['chr'] == "X/Y": - highest_chr = marker['chr'] - if ('lod_score' in marker.keys()) or ('lrs_value' in marker.keys()): - self.qtl_results.append(marker) - - with Bench("Exporting Results"): - export_mapping_results(self.dataset, self.this_trait, self.qtl_results, self.mapping_results_path, self.mapping_scale, self.score_type) - - with Bench("Trimming Markers for Figure"): - if len(self.qtl_results) > 30000: - self.qtl_results = trim_markers_for_figure(self.qtl_results) - - with Bench("Trimming Markers for Table"): - self.trimmed_markers = trim_markers_for_table(results) - - if self.mapping_method != "gemma": - self.json_data['chr'] = [] - self.json_data['pos'] = [] - self.json_data['lod.hk'] = [] - self.json_data['markernames'] = [] - - self.json_data['suggestive'] = self.suggestive - self.json_data['significant'] = self.significant - - #Need to convert the QTL objects that qtl reaper returns into a json serializable dictionary - for index, qtl in enumerate(self.qtl_results): - #if index<40: - # logger.debug("lod score is:", qtl['lod_score']) - if qtl['chr'] == highest_chr and highest_chr != "X" and highest_chr != "X/Y": - #logger.debug("changing to X") - self.json_data['chr'].append("X") - else: - self.json_data['chr'].append(str(qtl['chr'])) - self.json_data['pos'].append(qtl['Mb']) - if 'lrs_value' in qtl.keys(): - self.json_data['lod.hk'].append(str(qtl['lrs_value'])) - else: - self.json_data['lod.hk'].append(str(qtl['lod_score'])) - self.json_data['markernames'].append(qtl['name']) - - #Get chromosome lengths for drawing the interval map plot - chromosome_mb_lengths = {} - self.json_data['chrnames'] = [] - for key in self.species.chromosomes.chromosomes.keys(): - self.json_data['chrnames'].append([self.species.chromosomes.chromosomes[key].name, self.species.chromosomes.chromosomes[key].mb_length]) - chromosome_mb_lengths[key] = self.species.chromosomes.chromosomes[key].mb_length - - self.js_data = dict( - result_score_type = self.score_type, - json_data = self.json_data, - this_trait = self.this_trait.name, - data_set = self.dataset.name, - maf = self.maf, - manhattan_plot = self.manhattan_plot, - mapping_scale = self.mapping_scale, - chromosomes = chromosome_mb_lengths, - qtl_results = self.qtl_results, - num_perm = self.num_perm, - perm_results = self.perm_output, - ) - - def run_rqtl_plink(self): - # os.chdir("") never do this inside a webserver!! - - output_filename = webqtlUtil.genRandStr("%s_%s_"%(self.dataset.group.name, self.this_trait.name)) - - plink_mapping.gen_pheno_txt_file_plink(self.this_trait, self.dataset, self.vals, pheno_filename = output_filename) - - rqtl_command = './plink --noweb --ped %s.ped --no-fid --no-parents --no-sex --no-pheno --map %s.map --pheno %s/%s.txt --pheno-name %s --maf %s --missing-phenotype -9999 --out %s%s --assoc ' % (self.dataset.group.name, self.dataset.group.name, TMPDIR, plink_output_filename, self.this_trait.name, self.maf, TMPDIR, plink_output_filename) - - os.system(rqtl_command) - - count, p_values = self.parse_rqtl_output(plink_output_filename) - - def run_permutations(self, temp_uuid): - """Runs permutations and gets significant and suggestive LOD scores""" - - top_lod_scores = [] - - #logger.debug("self.num_perm:", self.num_perm) - - for permutation in range(self.num_perm): - - pheno_vector = np.array([val == "x" and np.nan or float(val) for val in self.vals]) - np.random.shuffle(pheno_vector) - - key = "pylmm:input:" + temp_uuid - - if self.dataset.group.species == "human": - p_values, t_stats = self.gen_human_results(pheno_vector, key, temp_uuid) - else: - genotype_data = [marker['genotypes'] for marker in self.dataset.group.markers.markers] - - no_val_samples = self.identify_empty_samples() - trimmed_genotype_data = self.trim_genotypes(genotype_data, no_val_samples) - - genotype_matrix = np.array(trimmed_genotype_data).T - - params = dict(pheno_vector = pheno_vector.tolist(), - genotype_matrix = genotype_matrix.tolist(), - restricted_max_likelihood = True, - refit = False, - temp_uuid = temp_uuid, - - # meta data - timestamp = datetime.datetime.now().isoformat(), - ) - - json_params = json.dumps(params) - Redis.set(key, json_params) - Redis.expire(key, 60*60) - - command = PYLMM_COMMAND+' --key {} --species {}'.format(key,"other") - shell(command) - - json_results = Redis.blpop("pylmm:results:" + temp_uuid, 45*60) - results = json.loads(json_results[1]) - p_values = [float(result) for result in results['p_values']] - - lowest_p_value = 1 - for p_value in p_values: - if p_value < lowest_p_value: - lowest_p_value = p_value - - #logger.debug("lowest_p_value:", lowest_p_value) - top_lod_scores.append(-math.log10(lowest_p_value)) - - #logger.debug("top_lod_scores:", top_lod_scores) - - self.suggestive = np.percentile(top_lod_scores, 67) - self.significant = np.percentile(top_lod_scores, 95) - - def gen_data(self, temp_uuid): - """Generates p-values for each marker""" - - logger.debug("self.vals is:", self.vals) - pheno_vector = np.array([(val == "x" or val == "") and np.nan or float(val) for val in self.vals]) - - #lmm_uuid = str(uuid.uuid4()) - - key = "pylmm:input:" + temp_uuid - logger.debug("key is:", pf(key)) - #with Bench("Loading cache"): - # result = Redis.get(key) - - if self.dataset.group.species == "human": - p_values, t_stats = self.gen_human_results(pheno_vector, key, temp_uuid) - - else: - logger.debug("NOW CWD IS:", os.getcwd()) - genotype_data = [marker['genotypes'] for marker in self.dataset.group.markers.markers] - - no_val_samples = self.identify_empty_samples() - trimmed_genotype_data = self.trim_genotypes(genotype_data, no_val_samples) - - genotype_matrix = np.array(genotype_data).T - - #logger.debug("pheno_vector: ", pf(pheno_vector)) - #logger.debug("genotype_matrix: ", pf(genotype_matrix)) - #logger.debug("genotype_matrix.shape: ", pf(genotype_matrix.shape)) - - #params = {"pheno_vector": pheno_vector, - # "genotype_matrix": genotype_matrix, - # "restricted_max_likelihood": True, - # "refit": False, - # "temp_data": tempdata} - - # logger.debug("genotype_matrix:", str(genotype_matrix.tolist())) - # logger.debug("pheno_vector:", str(pheno_vector.tolist())) - - params = dict(pheno_vector = pheno_vector.tolist(), - genotype_matrix = genotype_matrix.tolist(), - restricted_max_likelihood = True, - refit = False, - temp_uuid = temp_uuid, - - # meta data - timestamp = datetime.datetime.now().isoformat(), - ) - - json_params = json.dumps(params) - #logger.debug("json_params:", json_params) - Redis.set(key, json_params) - Redis.expire(key, 60*60) - logger.debug("before printing command") - - command = PYLMM_COMMAND + ' --key {} --species {}'.format(key, "other") - logger.debug("command is:", command) - logger.debug("after printing command") - - shell(command) - - #t_stats, p_values = lmm.run(key) - #lmm.run(key) - - json_results = Redis.blpop("pylmm:results:" + temp_uuid, 45*60) - results = json.loads(json_results[1]) - p_values = [float(result) for result in results['p_values']] - t_stats = results['t_stats'] - - #t_stats, p_values = lmm.run( - # pheno_vector, - # genotype_matrix, - # restricted_max_likelihood=True, - # refit=False, - # temp_data=tempdata - #) - #logger.debug("p_values:", p_values) - - self.dataset.group.markers.add_pvalues(p_values) - - return self.dataset.group.markers.markers - - def gen_human_results(self, pheno_vector, key, temp_uuid): - file_base = locate(self.dataset.group.name,"mapping") - - plink_input = input.plink(file_base, type='b') - input_file_name = os.path.join(webqtlConfig.SNP_PATH, self.dataset.group.name + ".snps.gz") - - pheno_vector = pheno_vector.reshape((len(pheno_vector), 1)) - covariate_matrix = np.ones((pheno_vector.shape[0],1)) - kinship_matrix = np.fromfile(open(file_base + '.kin','r'),sep=" ") - kinship_matrix.resize((len(plink_input.indivs),len(plink_input.indivs))) - - logger.debug("Before creating params") - - params = dict(pheno_vector = pheno_vector.tolist(), - covariate_matrix = covariate_matrix.tolist(), - input_file_name = input_file_name, - kinship_matrix = kinship_matrix.tolist(), - refit = False, - temp_uuid = temp_uuid, - - # meta data - timestamp = datetime.datetime.now().isoformat(), - ) - - logger.debug("After creating params") - - json_params = json.dumps(params) - Redis.set(key, json_params) - Redis.expire(key, 60*60) - - logger.debug("Before creating the command") - - command = PYLMM_COMMAND+' --key {} --species {}'.format(key, "human") - - logger.debug("command is:", command) - - os.system(command) - - json_results = Redis.blpop("pylmm:results:" + temp_uuid, 45*60) - results = json.loads(json_results[1]) - t_stats = results['t_stats'] - p_values = results['p_values'] - - - #p_values, t_stats = lmm.run_human(key) - - #p_values, t_stats = lmm.run_human( - # pheno_vector, - # covariate_matrix, - # input_file_name, - # kinship_matrix, - # loading_progress=tempdata - # ) - - return p_values, t_stats - - def identify_empty_samples(self): - no_val_samples = [] - for sample_count, val in enumerate(self.vals): - if val == "x": - no_val_samples.append(sample_count) - return no_val_samples - - def trim_genotypes(self, genotype_data, no_value_samples): - trimmed_genotype_data = [] - for marker in genotype_data: - new_genotypes = [] - for item_count, genotype in enumerate(marker): - if item_count in no_value_samples: - continue - try: - genotype = float(genotype) - except ValueError: - genotype = np.nan - pass - new_genotypes.append(genotype) - trimmed_genotype_data.append(new_genotypes) - return trimmed_genotype_data - -def export_mapping_results(dataset, trait, markers, results_path, mapping_scale, score_type): - with open(results_path, "w+") as output_file: - output_file.write("Population: " + dataset.group.species.title() + " " + dataset.group.name + "\n") - output_file.write("Data Set: " + dataset.fullname + "\n") - if dataset.type == "ProbeSet": - output_file.write("Gene Symbol: " + trait.symbol + "\n") - output_file.write("Location: " + str(trait.chr) + " @ " + str(trait.mb) + " Mb\n") - output_file.write("\n") - output_file.write("Name,Chr,") - if mapping_scale == "physic": - output_file.write("Mb," + score_type) - else: - output_file.write("Cm," + score_type) - if "additive" in markers[0].keys(): - output_file.write(",Additive") - if "dominance" in markers[0].keys(): - output_file.write(",Dominance") - output_file.write("\n") - for i, marker in enumerate(markers): - output_file.write(marker['name'] + "," + str(marker['chr']) + "," + str(marker['Mb']) + ",") - if "lod_score" in marker.keys(): - output_file.write(str(marker['lod_score'])) - else: - output_file.write(str(marker['lrs_value'])) - if "additive" in marker.keys(): - output_file.write("," + str(marker['additive'])) - if "dominance" in marker.keys(): - output_file.write("," + str(marker['dominance'])) - if i < (len(markers) - 1): - output_file.write("\n") - -def trim_markers_for_figure(markers): - if 'lod_score' in markers[0].keys(): - score_type = 'lod_score' - else: - score_type = 'lrs_value' - - filtered_markers = [] - low_counter = 0 - med_counter = 0 - high_counter = 0 - for marker in markers: - if score_type == 'lod_score': - if marker[score_type] < 1: - if low_counter % 20 == 0: - filtered_markers.append(marker) - low_counter += 1 - elif 1 <= marker[score_type] < 2: - if med_counter % 10 == 0: - filtered_markers.append(marker) - med_counter += 1 - elif 2 <= marker[score_type] <= 3: - if high_counter % 2 == 0: - filtered_markers.append(marker) - high_counter += 1 - else: - filtered_markers.append(marker) - else: - if marker[score_type] < 4.16: - if low_counter % 20 == 0: - filtered_markers.append(marker) - low_counter += 1 - elif 4.16 <= marker[score_type] < (2*4.16): - if med_counter % 10 == 0: - filtered_markers.append(marker) - med_counter += 1 - elif (2*4.16) <= marker[score_type] <= (3*4.16): - if high_counter % 2 == 0: - filtered_markers.append(marker) - high_counter += 1 - else: - filtered_markers.append(marker) - return filtered_markers - -def trim_markers_for_table(markers): - if 'lod_score' in markers[0].keys(): - sorted_markers = sorted(markers, key=lambda k: k['lod_score'], reverse=True) - else: - sorted_markers = sorted(markers, key=lambda k: k['lrs_value'], reverse=True) - - #ZS: So we end up with a list of just 200 markers - if len(sorted_markers) >= 200: - trimmed_sorted_markers = sorted_markers[:200] - return trimmed_sorted_markers - else: - return sorted_markers
\ No newline at end of file diff --git a/wqflask/wqflask/marker_regression/qtlreaper_mapping.py b/wqflask/wqflask/marker_regression/qtlreaper_mapping.py index ffbfb5c5..0c560582 100644 --- a/wqflask/wqflask/marker_regression/qtlreaper_mapping.py +++ b/wqflask/wqflask/marker_regression/qtlreaper_mapping.py @@ -1,8 +1,136 @@ +import os, math, string, random, json, re + +from base import webqtlConfig +from base.trait import GeneralTrait +from base.data_set import create_dataset +from utility.tools import flat_files, REAPER_COMMAND, TEMPDIR + import utility.logger logger = utility.logger.getLogger(__name__ ) -def gen_reaper_results(this_trait, dataset, samples_before, trait_vals, json_data, num_perm, bootCheck, num_bootstrap, do_control, control_marker, manhattan_plot): - genotype = dataset.group.read_genotype_file() +def run_reaper(this_trait, this_dataset, samples, vals, json_data, num_perm, boot_check, num_bootstrap, do_control, control_marker, manhattan_plot, first_run=True, output_files=None): + """Generates p-values for each marker using qtlreaper""" + + if first_run: + if this_dataset.group.genofile != None: + genofile_name = this_dataset.group.genofile[:-5] + else: + genofile_name = this_dataset.group.name + + trait_filename = str(this_trait.name) + "_" + str(this_dataset.name) + "_pheno" + gen_pheno_txt_file(samples, vals, trait_filename) + + output_filename = this_dataset.group.name + "_GWA_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) + bootstrap_filename = None + permu_filename = None + + opt_list = [] + if boot_check and num_bootstrap > 0: + bootstrap_filename = this_dataset.group.name + "_BOOTSTRAP_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) + + opt_list.append("-b") + opt_list.append("--n_bootstrap " + str(num_bootstrap)) + opt_list.append("--bootstrap_output " + webqtlConfig.GENERATED_IMAGE_DIR + bootstrap_filename + ".txt") + if num_perm > 0: + permu_filename = this_dataset.group.name + "_PERM_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) + opt_list.append("-n " + str(num_perm)) + opt_list.append("--permu_output " + webqtlConfig.GENERATED_IMAGE_DIR + permu_filename + ".txt") + if control_marker != "" and do_control == "true": + opt_list.append("-c " + control_marker) + + reaper_command = REAPER_COMMAND + ' --geno {0}/{1}.geno --traits {2}/gn2/{3}.txt {4} -o {5}{6}.txt'.format(flat_files('genotype'), + genofile_name, + TEMPDIR, + trait_filename, + " ".join(opt_list), + webqtlConfig.GENERATED_IMAGE_DIR, + output_filename) + + logger.debug("reaper_command:" + reaper_command) + os.system(reaper_command) + else: + output_filename, permu_filename, bootstrap_filename = output_files + + marker_obs, permu_vals, bootstrap_vals = parse_reaper_output(output_filename, permu_filename, bootstrap_filename) + + suggestive = 0 + significant = 0 + if len(permu_vals) > 0: + suggestive = permu_vals[int(num_perm*0.37-1)] + significant = permu_vals[int(num_perm*0.95-1)] + + return marker_obs, permu_vals, suggestive, significant, bootstrap_vals, [output_filename, permu_filename, bootstrap_filename] + +def gen_pheno_txt_file(samples, vals, trait_filename): + """Generates phenotype file for GEMMA""" + + with open("{}/gn2/{}.txt".format(TEMPDIR, trait_filename), "w") as outfile: + outfile.write("Trait\t") + + filtered_sample_list = [] + filtered_vals_list = [] + for i, sample in enumerate(samples): + if vals[i] != "x": + filtered_sample_list.append(sample) + filtered_vals_list.append(vals[i]) + + samples_string = "\t".join(filtered_sample_list) + outfile.write(samples_string + "\n") + outfile.write("T1\t") + values_string = "\t".join(filtered_vals_list) + outfile.write(values_string) + +def parse_reaper_output(gwa_filename, permu_filename, bootstrap_filename): + included_markers = [] + p_values = [] + marker_obs = [] + + with open("{}{}.txt".format(webqtlConfig.GENERATED_IMAGE_DIR, gwa_filename)) as output_file: + for line in output_file: + if line.startswith("ID\t"): + continue + else: + marker = {} + marker['name'] = line.split("\t")[1] + try: + marker['chr'] = int(line.split("\t")[2]) + except: + marker['chr'] = line.split("\t")[2] + marker['cM'] = float(line.split("\t")[3]) + if float(line.split("\t")[4]) > 1000: + marker['Mb'] = float(line.split("\t")[4])/1000000 + else: + marker['Mb'] = float(line.split("\t")[4]) + if float(line.split("\t")[7]) != 1: + marker['p_value'] = float(line.split("\t")[7]) + marker['lrs_value'] = float(line.split("\t")[5]) + marker['lod_score'] = marker['lrs_value'] / 4.61 + marker['additive'] = float(line.split("\t")[6]) + marker_obs.append(marker) + + #ZS: Results have to be reordered because the new reaper returns results sorted alphabetically by chr for some reason, resulting in chr 1 being followed by 10, etc + sorted_indices = natural_sort(marker_obs) + + permu_vals = [] + if permu_filename: + with open("{}{}.txt".format(webqtlConfig.GENERATED_IMAGE_DIR, permu_filename)) as permu_file: + for line in permu_file: + permu_vals.append(float(line)) + + bootstrap_vals = [] + if bootstrap_filename: + with open("{}{}.txt".format(webqtlConfig.GENERATED_IMAGE_DIR, bootstrap_filename)) as bootstrap_file: + for line in bootstrap_file: + bootstrap_vals.append(int(line)) + + marker_obs = [marker_obs[i] for i in sorted_indices] + if len(bootstrap_vals) > 0: + bootstrap_vals = [bootstrap_vals[i] for i in sorted_indices] + + return marker_obs, permu_vals, bootstrap_vals + +def run_original_reaper(this_trait, dataset, samples_before, trait_vals, json_data, num_perm, bootCheck, num_bootstrap, do_control, control_marker, manhattan_plot): + genotype = dataset.group.read_genotype_file(use_reaper=True) if manhattan_plot != True: genotype = genotype.addinterval() @@ -12,7 +140,7 @@ def gen_reaper_results(this_trait, dataset, samples_before, trait_vals, json_dat for i in range(0, len(samples_before)): try: trimmed_values.append(float(trait_vals[i])) - trimmed_samples.append(samples_before[i]) + trimmed_samples.append(str(samples_before[i])) except: pass @@ -92,3 +220,12 @@ def gen_reaper_results(this_trait, dataset, samples_before, trait_vals, json_dat "cM":reaper_locus.cM, "name":reaper_locus.name, "additive":qtl.additive, "dominance":qtl.dominance} qtl_results.append(qtl) return qtl_results, json_data, perm_output, suggestive, significant, bootstrap_results + +def natural_sort(marker_list): + """ + Function to naturally sort numbers + strings, adopted from user Mark Byers here: https://stackoverflow.com/questions/4836710/does-python-have-a-built-in-function-for-string-natural-sort + Changed to return indices instead of values, though, since the same reordering needs to be applied to bootstrap results + """ + convert = lambda text: int(text) if text.isdigit() else text.lower() + alphanum_key = lambda key: [ convert(c) for c in re.split('([0-9]+)', str(marker_list[key]['chr'])) ] + return sorted(range(len(marker_list)), key = alphanum_key)
\ No newline at end of file diff --git a/wqflask/wqflask/marker_regression/rqtl_mapping.py b/wqflask/wqflask/marker_regression/rqtl_mapping.py index 41d67012..e1aa290b 100644 --- a/wqflask/wqflask/marker_regression/rqtl_mapping.py +++ b/wqflask/wqflask/marker_regression/rqtl_mapping.py @@ -1,16 +1,17 @@ import rpy2.robjects as ro +import rpy2.robjects.numpy2ri as np2r import numpy as np from base.webqtlConfig import TMPDIR +from base.trait import GeneralTrait +from base.data_set import create_dataset from utility import webqtlUtil from utility.tools import locate, TEMPDIR import utility.logger logger = utility.logger.getLogger(__name__ ) -def run_rqtl_geno(vals, dataset, method, model, permCheck, num_perm, do_control, control_marker, manhattan_plot, pair_scan): - geno_to_rqtl_function(dataset) - +def run_rqtl_geno(vals, samples, dataset, method, model, permCheck, num_perm, perm_strata_list, do_control, control_marker, manhattan_plot, pair_scan, cofactors): ## Get pointers to some common R functions r_library = ro.r["library"] # Map the library function r_c = ro.r["c"] # Map the c function @@ -21,30 +22,49 @@ def run_rqtl_geno(vals, dataset, method, model, permCheck, num_perm, do_control, print(r_library("qtl")) # Load R/qtl ## Get pointers to some R/qtl functions - scanone = ro.r["scanone"] # Map the scanone function - scantwo = ro.r["scantwo"] # Map the scantwo function - calc_genoprob = ro.r["calc.genoprob"] # Map the calc.genoprob function - GENOtoCSVR = ro.r["GENOtoCSVR"] # Map the local GENOtoCSVR function + scanone = ro.r["scanone"] # Map the scanone function + scantwo = ro.r["scantwo"] # Map the scantwo function + calc_genoprob = ro.r["calc.genoprob"] # Map the calc.genoprob function crossname = dataset.group.name - genofilelocation = locate(crossname + ".geno", "genotype") + #try: + # generate_cross_from_rdata(dataset) + # read_cross_from_rdata = ro.r["generate_cross_from_rdata"] # Map the local read_cross_from_rdata function + # genofilelocation = locate(crossname + ".RData", "genotype/rdata") + # cross_object = read_cross_from_rdata(genofilelocation) # Map the local GENOtoCSVR function + #except: + generate_cross_from_geno(dataset) + GENOtoCSVR = ro.r["GENOtoCSVR"] # Map the local GENOtoCSVR function crossfilelocation = TMPDIR + crossname + ".cross" - - cross_object = GENOtoCSVR(genofilelocation, crossfilelocation) # TODO: Add the SEX if that is available + if dataset.group.genofile: + genofilelocation = locate(dataset.group.genofile, "genotype") + else: + genofilelocation = locate(dataset.group.name + ".geno", "genotype") + cross_object = GENOtoCSVR(genofilelocation, crossfilelocation) # TODO: Add the SEX if that is available if manhattan_plot: cross_object = calc_genoprob(cross_object) else: cross_object = calc_genoprob(cross_object, step=1, stepwidth="max") - cross_object = add_phenotype(cross_object, sanitize_rqtl_phenotype(vals)) # Add the phenotype + pheno_string = sanitize_rqtl_phenotype(vals) + + cross_object = add_phenotype(cross_object, pheno_string, "the_pheno") # Add the phenotype # Scan for QTLs - covar = create_covariates(control_marker, cross_object) # Create the additive covariate matrix + marker_covars = create_marker_covariates(control_marker, cross_object) # Create the additive covariate markers + + if cofactors != "": + cross_object, trait_covars = add_cofactors(cross_object, dataset, cofactors, samples) # Create the covariates from selected traits + ro.r('all_covars <- cbind(marker_covars, trait_covars)') + else: + ro.r('all_covars <- marker_covars') + + covars = ro.r['all_covars'] if pair_scan: if do_control == "true": - logger.info("Using covariate"); result_data_frame = scantwo(cross_object, pheno = "the_pheno", addcovar = covar, model=model, method=method, n_cluster = 16) + logger.info("Using covariate"); result_data_frame = scantwo(cross_object, pheno = "the_pheno", addcovar = covars, model=model, method=method, n_cluster = 16) else: logger.info("No covariates"); result_data_frame = scantwo(cross_object, pheno = "the_pheno", model=model, method=method, n_cluster = 16) @@ -55,23 +75,43 @@ def run_rqtl_geno(vals, dataset, method, model, permCheck, num_perm, do_control, return process_pair_scan_results(result_data_frame) else: - if do_control == "true": - logger.info("Using covariate"); result_data_frame = scanone(cross_object, pheno = "the_pheno", addcovar = covar, model=model, method=method) + if do_control == "true" or cofactors != "": + logger.info("Using covariate"); result_data_frame = scanone(cross_object, pheno = "the_pheno", addcovar = covars, model=model, method=method) else: logger.info("No covariates"); result_data_frame = scanone(cross_object, pheno = "the_pheno", model=model, method=method) if num_perm > 0 and permCheck == "ON": # Do permutation (if requested by user) - if do_control == "true": - perm_data_frame = scanone(cross_object, pheno_col = "the_pheno", addcovar = covar, n_perm = num_perm, model=model, method=method) + if len(perm_strata_list) > 0: #ZS: The strata list would only be populated if "Stratified" was checked on before mapping + cross_object, strata_ob = add_perm_strata(cross_object, perm_strata_list) + if do_control == "true" or cofactors != "": + perm_data_frame = scanone(cross_object, pheno_col = "the_pheno", addcovar = covars, n_perm = int(num_perm), perm_strata = strata_ob, model=model, method=method) + else: + perm_data_frame = scanone(cross_object, pheno_col = "the_pheno", n_perm = num_perm, perm_strata = strata_ob, model=model, method=method) else: - perm_data_frame = scanone(cross_object, pheno_col = "the_pheno", n_perm = num_perm, model=model, method=method) + if do_control == "true" or cofactors != "": + perm_data_frame = scanone(cross_object, pheno_col = "the_pheno", addcovar = covars, n_perm = int(num_perm), model=model, method=method) + else: + perm_data_frame = scanone(cross_object, pheno_col = "the_pheno", n_perm = num_perm, model=model, method=method) perm_output, suggestive, significant = process_rqtl_perm_results(num_perm, perm_data_frame) # Functions that sets the thresholds for the webinterface - return perm_output, suggestive, significant, process_rqtl_results(result_data_frame) + the_scale = check_mapping_scale(genofilelocation) + return perm_output, suggestive, significant, process_rqtl_results(result_data_frame, dataset.group.species), the_scale else: - return process_rqtl_results(result_data_frame) + the_scale = check_mapping_scale(genofilelocation) + return process_rqtl_results(result_data_frame, dataset.group.species), the_scale + +def generate_cross_from_rdata(dataset): + rdata_location = locate(dataset.group.name + ".RData", "genotype/rdata") + ro.r(""" + generate_cross_from_rdata <- function(filename = '%s') { + load(file=filename) + cross = cunique + return(cross) + } + """ % (rdata_location)) + +def generate_cross_from_geno(dataset): # TODO: Need to figure out why some genofiles have the wrong format and don't convert properly -def geno_to_rqtl_function(dataset): # TODO: Need to figure out why some genofiles have the wrong format and don't convert properly ro.r(""" trim <- function( x ) { gsub("(^[[:space:]]+|[[:space:]]+$)", "", x) } @@ -84,8 +124,12 @@ def geno_to_rqtl_function(dataset): # TODO: Need to figure out why some g header = readLines(genotypes, 40) # Assume a geno header is not longer than 40 lines toskip = which(unlist(lapply(header, function(x){ length(grep("Chr\t", x)) })) == 1)-1 # Major hack to skip the geno headers - genocodes <- c(getGenoCode(header, 'mat'), getGenoCode(header, 'het'), getGenoCode(header, 'pat')) # Get the genotype codes type <- getGenoCode(header, 'type') + if(type == '4-way'){ + genocodes <- c('1','2','3','4') + } else { + genocodes <- c(getGenoCode(header, 'mat'), getGenoCode(header, 'het'), getGenoCode(header, 'pat')) # Get the genotype codes + } genodata <- read.csv(genotypes, sep='\t', skip=toskip, header=TRUE, na.strings=getGenoCode(header,'unk'), colClasses='character', comment.char = '#') cat('Genodata:', toskip, " ", dim(genodata), genocodes, '\n') if(is.null(phenotype)) phenotype <- runif((ncol(genodata)-4)) # If there isn't a phenotype, generate a random one @@ -99,24 +143,21 @@ def geno_to_rqtl_function(dataset): # TODO: Need to figure out why some g if(type == 'riset') cross <- convert2riself(cross) # If its a RIL, convert to a RIL in R/qtl return(cross) } - """ % (dataset.group.name + ".geno")) + """ % (dataset.group.genofile)) -def add_phenotype(cross, pheno_as_string): - ro.globalenv["the_cross"] = cross - ro.r('the_cross$pheno <- cbind(pull.pheno(the_cross), the_pheno = '+ pheno_as_string +')') - return ro.r["the_cross"] +def add_perm_strata(cross, perm_strata): + col_string = 'c("the_strata")' + perm_strata_string = "c(" + for item in perm_strata: + perm_strata_string += str(item) + "," -def create_covariates(control_marker, cross): - ro.globalenv["the_cross"] = cross - ro.r('genotypes <- pull.geno(the_cross)') # Get the genotype matrix - userinputS = control_marker.replace(" ", "").split(",") # TODO: sanitize user input, Never Ever trust a user - covariate_names = ', '.join('"{0}"'.format(w) for w in userinputS) - ro.r('covnames <- c(' + covariate_names + ')') - ro.r('covInGeno <- which(covnames %in% colnames(genotypes))') - ro.r('covnames <- covnames[covInGeno]') - ro.r("cat('covnames (purged): ', covnames,'\n')") - ro.r('covariates <- genotypes[,covnames]') # Get the covariate matrix by using the marker name as index to the genotype file - return ro.r["covariates"] + perm_strata_string = perm_strata_string[:-1] + ")" + + cross = add_phenotype(cross, perm_strata_string, "the_strata") + + strata_ob = pull_var("perm_strata", cross, col_string) + + return cross, strata_ob def sanitize_rqtl_phenotype(vals): pheno_as_string = "c(" @@ -132,8 +173,80 @@ def sanitize_rqtl_phenotype(vals): else: pheno_as_string += str(val) pheno_as_string += ")" + return pheno_as_string +def add_phenotype(cross, pheno_as_string, col_name): + ro.globalenv["the_cross"] = cross + ro.r('the_cross$pheno <- cbind(pull.pheno(the_cross), ' + col_name + ' = '+ pheno_as_string +')') + return ro.r["the_cross"] + +def pull_var(var_name, cross, var_string): + ro.globalenv["the_cross"] = cross + ro.r(var_name +' <- pull.pheno(the_cross, ' + var_string + ')') + + return ro.r[var_name] + +def add_cofactors(cross, this_dataset, covariates, samples): + ro.numpy2ri.activate() + + covariate_list = covariates.split(",") + covar_name_string = "c(" + for i, covariate in enumerate(covariate_list): + this_covar_data = [] + covar_as_string = "c(" + trait_name = covariate.split(":")[0] + dataset_ob = create_dataset(covariate.split(":")[1]) + trait_ob = GeneralTrait(dataset=dataset_ob, + name=trait_name, + cellid=None) + + this_dataset.group.get_samplelist() + trait_samples = this_dataset.group.samplelist + trait_sample_data = trait_ob.data + for index, sample in enumerate(trait_samples): + if sample in samples: + if sample in trait_sample_data: + sample_value = trait_sample_data[sample].value + this_covar_data.append(sample_value) + else: + this_covar_data.append("NA") + + for j, item in enumerate(this_covar_data): + if j < (len(this_covar_data) - 1): + covar_as_string += str(item) + "," + else: + covar_as_string += str(item) + + covar_as_string += ")" + + col_name = "covar_" + str(i) + cross = add_phenotype(cross, covar_as_string, col_name) + + if i < (len(covariate_list) - 1): + covar_name_string += '"' + col_name + '", ' + else: + covar_name_string += '"' + col_name + '"' + + covar_name_string += ")" + + covars_ob = pull_var("trait_covars", cross, covar_name_string) + + return cross, covars_ob + +def create_marker_covariates(control_marker, cross): + ro.globalenv["the_cross"] = cross + ro.r('genotypes <- pull.geno(the_cross)') # Get the genotype matrix + userinputS = control_marker.replace(" ", "").split(",") # TODO: sanitize user input, Never Ever trust a user + covariate_names = ', '.join('"{0}"'.format(w) for w in userinputS) + ro.r('covnames <- c(' + covariate_names + ')') + ro.r('covInGeno <- which(covnames %in% colnames(genotypes))') + ro.r('covnames <- covnames[covInGeno]') + ro.r("cat('covnames (purged): ', covnames,'\n')") + ro.r('marker_covars <- genotypes[,covnames]') # Get the covariate matrix by using the marker name as index to the genotype file + + return ro.r["marker_covars"] + def process_pair_scan_results(result): pair_scan_results = [] @@ -162,16 +275,36 @@ def process_rqtl_perm_results(num_perm, results): return perm_output, suggestive, significant -def process_rqtl_results(result): # TODO: how to make this a one liner and not copy the stuff in a loop +def process_rqtl_results(result, species_name): # TODO: how to make this a one liner and not copy the stuff in a loop qtl_results = [] output = [tuple([result[j][i] for j in range(result.ncol)]) for i in range(result.nrow)] for i, line in enumerate(result.iter_row()): marker = {} marker['name'] = result.rownames[i] - marker['chr'] = output[i][0] + if species_name == "mouse" and output[i][0] == 20: #ZS: This is awkward, but I'm not sure how to change the 20s to Xs in the RData file + marker['chr'] = "X" + else: + marker['chr'] = output[i][0] + marker['cM'] = output[i][1] marker['Mb'] = output[i][1] marker['lod_score'] = output[i][2] qtl_results.append(marker) - return qtl_results
\ No newline at end of file + return qtl_results + +def check_mapping_scale(genofile_location): + scale = "physic" + with open(genofile_location, "r") as geno_fh: + for line in geno_fh: + if line[0] == "@" or line[0] == "#": + + if "@scale" in line: + scale = line.split(":")[1].strip() + break + else: + continue + else: + break + + return scale
\ No newline at end of file diff --git a/wqflask/wqflask/marker_regression/run_mapping.py b/wqflask/wqflask/marker_regression/run_mapping.py new file mode 100644 index 00000000..589be702 --- /dev/null +++ b/wqflask/wqflask/marker_regression/run_mapping.py @@ -0,0 +1,703 @@ +from __future__ import absolute_import, print_function, division + +from base.trait import GeneralTrait +from base import data_set #import create_dataset + +from pprint import pformat as pf + +import string +import math +from decimal import Decimal +import random +import sys +import datetime +import os +import collections +import uuid + +import rpy2.robjects as ro +import numpy as np + +import cPickle as pickle +import itertools + +import simplejson as json + +from redis import Redis +Redis = Redis() + +from flask import Flask, g + +from base.trait import GeneralTrait +from base import data_set +from base import species +from base import webqtlConfig +from utility import webqtlUtil +from utility import helper_functions +from utility import Plot, Bunch +from utility import temp_data +from utility.benchmark import Bench +from wqflask.marker_regression import gemma_mapping, rqtl_mapping, qtlreaper_mapping, plink_mapping +from wqflask.show_trait.SampleList import SampleList + +from utility.tools import locate, locate_ignore_error, GEMMA_COMMAND, PLINK_COMMAND, TEMPDIR +from utility.external import shell +from base.webqtlConfig import TMPDIR, GENERATED_TEXT_DIR + +import utility.logger +logger = utility.logger.getLogger(__name__ ) + +class RunMapping(object): + + def __init__(self, start_vars, temp_uuid): + helper_functions.get_species_dataset_trait(self, start_vars) + + self.temp_uuid = temp_uuid #needed to pass temp_uuid to gn1 mapping code (marker_regression_gn1.py) + + #ZS: Needed to zoom in or remap temp traits like PCA traits + if "temp_trait" in start_vars and start_vars['temp_trait'] != "False": + self.temp_trait = "True" + self.group = self.dataset.group.name + + self.json_data = {} + self.json_data['lodnames'] = ['lod.hk'] + + #ZS: Sometimes a group may have a genofile that only includes a subset of samples + genofile_samplelist = [] + if 'genofile' in start_vars: + if start_vars['genofile'] != "": + self.genofile_string = start_vars['genofile'] + self.dataset.group.genofile = self.genofile_string.split(":")[0] + genofile_samplelist = get_genofile_samplelist(self.dataset) + + all_samples_ordered = self.dataset.group.all_samples_ordered() + + self.vals = [] + if 'samples' in start_vars: + self.samples = start_vars['samples'].split(",") + if (len(genofile_samplelist) != 0): + for sample in genofile_samplelist: + if sample in self.samples: + value = start_vars.get('value:' + sample) + if value: + self.vals.append(value) + else: + self.vals.append("x") + else: + for sample in self.samples: + value = start_vars.get('value:' + sample) + if value: + self.vals.append(value) + else: + self.samples = [] + if (len(genofile_samplelist) != 0): + for sample in genofile_samplelist: + if sample in self.dataset.group.samplelist: + in_trait_data = False + for item in self.this_trait.data: + if self.this_trait.data[item].name == sample: + value = start_vars['value:' + self.this_trait.data[item].name] + self.samples.append(self.this_trait.data[item].name) + self.vals.append(value) + in_trait_data = True + break + if not in_trait_data: + value = start_vars.get('value:' + sample) + if value: + self.samples.append(sample) + self.vals.append(value) + else: + self.vals.append("x") + else: + for sample in self.dataset.group.samplelist: # sample is actually the name of an individual + in_trait_data = False + for item in self.this_trait.data: + if self.this_trait.data[item].name == sample: + value = start_vars['value:' + self.this_trait.data[item].name] + self.samples.append(self.this_trait.data[item].name) + self.vals.append(value) + in_trait_data = True + break + if not in_trait_data: + value = start_vars.get('value:' + sample) + if value: + self.samples.append(sample) + self.vals.append(value) + + self.num_vals = start_vars['num_vals'] + + #ZS: Check if genotypes exist in the DB in order to create links for markers + + self.geno_db_exists = geno_db_exists(self.dataset) + + self.mapping_method = start_vars['method'] + if "results_path" in start_vars: + self.mapping_results_path = start_vars['results_path'] + else: + mapping_results_filename = self.dataset.group.name + "_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) + self.mapping_results_path = "{}{}.csv".format(webqtlConfig.GENERATED_IMAGE_DIR, mapping_results_filename) + + if start_vars['manhattan_plot'] == "True": + self.manhattan_plot = True + else: + self.manhattan_plot = False + + self.maf = start_vars['maf'] # Minor allele frequency + if "use_loco" in start_vars: + self.use_loco = start_vars['use_loco'] + else: + self.use_loco = None + self.suggestive = "" + self.significant = "" + self.pair_scan = False # Initializing this since it is checked in views to determine which template to use + if 'transform' in start_vars: + self.transform = start_vars['transform'] + else: + self.transform = "" + self.score_type = "LRS" #ZS: LRS or LOD + self.mapping_scale = "physic" + self.num_perm = 0 + self.perm_output = [] + self.bootstrap_results = [] + self.covariates = start_vars['covariates'] if "covariates" in start_vars else None + + #ZS: This is passed to GN1 code for single chr mapping + self.selected_chr = -1 + if "selected_chr" in start_vars: + if int(start_vars['selected_chr']) != -1: #ZS: Needs to be -1 if showing full map; there's probably a better way to fix this + self.selected_chr = int(start_vars['selected_chr']) + 1 + else: + self.selected_chr = int(start_vars['selected_chr']) + if "startMb" in start_vars: + self.startMb = start_vars['startMb'] + if "endMb" in start_vars: + self.endMb = start_vars['endMb'] + if "graphWidth" in start_vars: + self.graphWidth = start_vars['graphWidth'] + if "lrsMax" in start_vars: + self.lrsMax = start_vars['lrsMax'] + if "haplotypeAnalystCheck" in start_vars: + self.haplotypeAnalystCheck = start_vars['haplotypeAnalystCheck'] + if "startMb" in start_vars: #ZS: This is to ensure showGenes, Legend, etc are checked the first time you open the mapping page, since startMb will only not be set during the first load + if "permCheck" in start_vars: + self.permCheck = "ON" + else: + self.permCheck = False + self.num_perm = int(start_vars['num_perm']) + + self.LRSCheck = start_vars['LRSCheck'] + + if "showSNP" in start_vars: + self.showSNP = start_vars['showSNP'] + else: + self.showSNP = False + + if "showGenes" in start_vars: + self.showGenes = start_vars['showGenes'] + else: + self.showGenes = False + + if "viewLegend" in start_vars: + self.viewLegend = start_vars['viewLegend'] + else: + self.viewLegend = False + else: + try: + if int(start_vars['num_perm']) > 0: + self.num_perm = int(start_vars['num_perm']) + except: + self.num_perm = 0 + + if self.num_perm > 0: + self.permCheck = "ON" + else: + self.permCheck = False + self.showSNP = "ON" + self.showGenes = "ON" + self.viewLegend = "ON" + + #self.dataset.group.get_markers() + if self.mapping_method == "gemma": + self.first_run = True + self.output_files = None + if 'output_files' in start_vars: + self.output_files = start_vars['output_files'] + if 'first_run' in start_vars: #ZS: check if first run so existing result files can be used if it isn't (for example zooming on a chromosome, etc) + self.first_run = False + self.score_type = "-log(p)" + self.manhattan_plot = True + with Bench("Running GEMMA"): + if self.use_loco == "True": + marker_obs, self.output_files = gemma_mapping.run_gemma(self.this_trait, self.dataset, self.samples, self.vals, self.covariates, self.use_loco, self.maf, self.first_run, self.output_files) + else: + marker_obs, self.output_files = gemma_mapping.run_gemma(self.this_trait, self.dataset, self.samples, self.vals, self.covariates, self.use_loco, self.maf, self.first_run, self.output_files) + results = marker_obs + elif self.mapping_method == "rqtl_plink": + results = self.run_rqtl_plink() + elif self.mapping_method == "rqtl_geno": + perm_strata = [] + if "perm_strata" in start_vars and "categorical_vars" in start_vars: + self.categorical_vars = start_vars["categorical_vars"].split(",") + if len(self.categorical_vars) and start_vars["perm_strata"] == "True": + primary_samples = SampleList(dataset = self.dataset, + sample_names = self.samples, + this_trait = self.this_trait) + + perm_strata = get_perm_strata(self.this_trait, primary_samples, self.categorical_vars, self.samples) + self.score_type = "LOD" + self.control_marker = start_vars['control_marker'] + self.do_control = start_vars['do_control'] + if 'mapmethod_rqtl_geno' in start_vars: + self.method = start_vars['mapmethod_rqtl_geno'] + else: + self.method = "em" + self.model = start_vars['mapmodel_rqtl_geno'] + #if start_vars['pair_scan'] == "true": + # self.pair_scan = True + if self.permCheck and self.num_perm > 0: + self.perm_output, self.suggestive, self.significant, results, self.mapping_scale = rqtl_mapping.run_rqtl_geno(self.vals, self.samples, self.dataset, self.method, self.model, self.permCheck, self.num_perm, perm_strata, self.do_control, self.control_marker, self.manhattan_plot, self.pair_scan, self.covariates) + else: + results, self.mapping_scale = rqtl_mapping.run_rqtl_geno(self.vals, self.samples, self.dataset, self.method, self.model, self.permCheck, self.num_perm, perm_strata, self.do_control, self.control_marker, self.manhattan_plot, self.pair_scan, self.covariates) + elif self.mapping_method == "reaper": + if "startMb" in start_vars: #ZS: Check if first time page loaded, so it can default to ON + if "additiveCheck" in start_vars: + self.additiveCheck = start_vars['additiveCheck'] + else: + self.additiveCheck = False + + if "bootCheck" in start_vars: + self.bootCheck = "ON" + else: + self.bootCheck = False + self.num_bootstrap = int(start_vars['num_bootstrap']) + else: + self.additiveCheck = "ON" + try: + if int(start_vars['num_bootstrap']) > 0: + self.bootCheck = "ON" + self.num_bootstrap = int(start_vars['num_bootstrap']) + else: + self.bootCheck = False + self.num_bootstrap = 0 + except: + self.bootCheck = False + self.num_bootstrap = 0 + + self.reaper_version = start_vars['reaper_version'] + + self.control_marker = start_vars['control_marker'] + self.do_control = start_vars['do_control'] + logger.info("Running qtlreaper") + + if self.reaper_version == "new": + self.first_run = True + self.output_files = None + if 'first_run' in start_vars: #ZS: check if first run so existing result files can be used if it isn't (for example zooming on a chromosome, etc) + self.first_run = False + if 'output_files' in start_vars: + self.output_files = start_vars['output_files'].split(",") + + results, self.perm_output, self.suggestive, self.significant, self.bootstrap_results, self.output_files = qtlreaper_mapping.run_reaper(self.this_trait, + self.dataset, + self.samples, + self.vals, + self.json_data, + self.num_perm, + self.bootCheck, + self.num_bootstrap, + self.do_control, + self.control_marker, + self.manhattan_plot, + self.first_run, + self.output_files) + else: + results, self.json_data, self.perm_output, self.suggestive, self.significant, self.bootstrap_results = qtlreaper_mapping.run_original_reaper(self.this_trait, + self.dataset, + self.samples, + self.vals, + self.json_data, + self.num_perm, + self.bootCheck, + self.num_bootstrap, + self.do_control, + self.control_marker, + self.manhattan_plot) + elif self.mapping_method == "plink": + self.score_type = "-log(p)" + self.manhattan_plot = True + results = plink_mapping.run_plink(self.this_trait, self.dataset, self.species, self.vals, self.maf) + #results = self.run_plink() + else: + logger.debug("RUNNING NOTHING") + + self.no_results = False + if len(results) == 0: + self.no_results = True + else: + if self.pair_scan == True: + self.qtl_results = [] + highest_chr = 1 #This is needed in order to convert the highest chr to X/Y + for marker in results: + if marker['chr1'] > 0 or marker['chr1'] == "X" or marker['chr1'] == "X/Y": + if marker['chr1'] > highest_chr or marker['chr1'] == "X" or marker['chr1'] == "X/Y": + highest_chr = marker['chr1'] + if 'lod_score' in marker.keys(): + self.qtl_results.append(marker) + + self.trimmed_markers = results + + for qtl in enumerate(self.qtl_results): + self.json_data['chr1'].append(str(qtl['chr1'])) + self.json_data['chr2'].append(str(qtl['chr2'])) + self.json_data['Mb'].append(qtl['Mb']) + self.json_data['markernames'].append(qtl['name']) + + self.js_data = dict( + json_data = self.json_data, + this_trait = self.this_trait.name, + data_set = self.dataset.name, + maf = self.maf, + manhattan_plot = self.manhattan_plot, + mapping_scale = self.mapping_scale, + qtl_results = self.qtl_results + ) + + else: + self.qtl_results = [] + self.results_for_browser = [] + self.annotations_for_browser = [] + highest_chr = 1 #This is needed in order to convert the highest chr to X/Y + for marker in results: + browser_marker = dict( + chr = str(marker['chr']), + rs = marker['name'], + ps = marker['Mb']*1000000, + url = "/show_trait?trait_id=" + marker['name'] + "&dataset=" + self.dataset.group.name + "Geno" + ) + + if self.geno_db_exists == "True": + annot_marker = dict( + name = str(marker['name']), + chr = str(marker['chr']), + rs = marker['name'], + pos = marker['Mb']*1000000, + url = "/show_trait?trait_id=" + marker['name'] + "&dataset=" + self.dataset.group.name + "Geno" + ) + else: + annot_marker = dict( + name = str(marker['name']), + chr = str(marker['chr']), + rs = marker['name'], + pos = marker['Mb']*1000000 + ) + #if 'p_value' in marker: + # logger.debug("P EXISTS:", marker['p_value']) + #else: + if 'lrs_value' in marker and marker['lrs_value'] > 0: + browser_marker['p_wald'] = 10**-(marker['lrs_value']/4.61) + elif 'lod_score' in marker and marker['lod_score'] > 0: + browser_marker['p_wald'] = 10**-(marker['lod_score']) + else: + browser_marker['p_wald'] = 0 + + self.results_for_browser.append(browser_marker) + self.annotations_for_browser.append(annot_marker) + if marker['chr'] > 0 or marker['chr'] == "X" or marker['chr'] == "X/Y": + if marker['chr'] > highest_chr or marker['chr'] == "X" or marker['chr'] == "X/Y": + highest_chr = marker['chr'] + if ('lod_score' in marker.keys()) or ('lrs_value' in marker.keys()): + self.qtl_results.append(marker) + + with Bench("Exporting Results"): + export_mapping_results(self.dataset, self.this_trait, self.qtl_results, self.mapping_results_path, self.mapping_scale, self.score_type) + + with Bench("Trimming Markers for Figure"): + if len(self.qtl_results) > 30000: + self.qtl_results = trim_markers_for_figure(self.qtl_results) + self.results_for_browser = trim_markers_for_figure(self.results_for_browser) + filtered_annotations = [] + for marker in self.results_for_browser: + for annot_marker in self.annotations_for_browser: + if annot_marker['rs'] == marker['rs']: + filtered_annotations.append(annot_marker) + break + self.annotations_for_browser = filtered_annotations + browser_files = write_input_for_browser(self.dataset, self.results_for_browser, self.annotations_for_browser) + else: + browser_files = write_input_for_browser(self.dataset, self.results_for_browser, self.annotations_for_browser) + + with Bench("Trimming Markers for Table"): + self.trimmed_markers = trim_markers_for_table(results) + + chr_lengths = get_chr_lengths(self.mapping_scale, self.dataset, self.qtl_results) + + #ZS: For zooming into genome browser, need to pass chromosome name instead of number + if self.dataset.group.species == "mouse": + if self.selected_chr == 20: + this_chr = "X" + else: + this_chr = str(self.selected_chr) + elif self.dataset.group.species == "rat": + if self.selected_chr == 21: + this_chr = "X" + else: + this_chr = str(self.selected_chr) + else: + if self.selected_chr == 22: + this_chr = "X" + elif self.selected_chr == 23: + this_chr = "Y" + else: + this_chr = str(self.selected_chr) + + if self.mapping_method != "gemma": + if self.score_type == "LRS": + significant_for_browser = self.significant / 4.61 + else: + significant_for_browser = self.significant + + self.js_data = dict( + #result_score_type = self.score_type, + #this_trait = self.this_trait.name, + #data_set = self.dataset.name, + #maf = self.maf, + #manhattan_plot = self.manhattan_plot, + #mapping_scale = self.mapping_scale, + #chromosomes = chromosome_mb_lengths, + #qtl_results = self.qtl_results, + chr_lengths = chr_lengths, + num_perm = self.num_perm, + perm_results = self.perm_output, + significant = significant_for_browser, + browser_files = browser_files, + selected_chr = this_chr + ) + else: + self.js_data = dict( + chr_lengths = chr_lengths, + browser_files = browser_files, + selected_chr = this_chr + ) + + def run_rqtl_plink(self): + # os.chdir("") never do this inside a webserver!! + + output_filename = webqtlUtil.genRandStr("%s_%s_"%(self.dataset.group.name, self.this_trait.name)) + + plink_mapping.gen_pheno_txt_file_plink(self.this_trait, self.dataset, self.vals, pheno_filename = output_filename) + + rqtl_command = './plink --noweb --ped %s.ped --no-fid --no-parents --no-sex --no-pheno --map %s.map --pheno %s/%s.txt --pheno-name %s --maf %s --missing-phenotype -9999 --out %s%s --assoc ' % (self.dataset.group.name, self.dataset.group.name, TMPDIR, plink_output_filename, self.this_trait.name, self.maf, TMPDIR, plink_output_filename) + + os.system(rqtl_command) + + count, p_values = self.parse_rqtl_output(plink_output_filename) + + def identify_empty_samples(self): + no_val_samples = [] + for sample_count, val in enumerate(self.vals): + if val == "x": + no_val_samples.append(sample_count) + return no_val_samples + + def trim_genotypes(self, genotype_data, no_value_samples): + trimmed_genotype_data = [] + for marker in genotype_data: + new_genotypes = [] + for item_count, genotype in enumerate(marker): + if item_count in no_value_samples: + continue + try: + genotype = float(genotype) + except ValueError: + genotype = np.nan + pass + new_genotypes.append(genotype) + trimmed_genotype_data.append(new_genotypes) + return trimmed_genotype_data + +def export_mapping_results(dataset, trait, markers, results_path, mapping_scale, score_type): + with open(results_path, "w+") as output_file: + output_file.write("Time/Date: " + datetime.datetime.now().strftime("%x / %X") + "\n") + output_file.write("Population: " + dataset.group.species.title() + " " + dataset.group.name + "\n") + output_file.write("Data Set: " + dataset.fullname + "\n") + if dataset.type == "ProbeSet": + output_file.write("Gene Symbol: " + trait.symbol + "\n") + output_file.write("Location: " + str(trait.chr) + " @ " + str(trait.mb) + " Mb\n") + output_file.write("\n") + output_file.write("Name,Chr,") + if score_type.lower() == "-log(p)": + score_type = "'-log(p)" + if mapping_scale == "physic": + output_file.write("Mb," + score_type) + else: + output_file.write("Cm," + score_type) + if "additive" in markers[0].keys(): + output_file.write(",Additive") + if "dominance" in markers[0].keys(): + output_file.write(",Dominance") + output_file.write("\n") + for i, marker in enumerate(markers): + output_file.write(marker['name'] + "," + str(marker['chr']) + "," + str(marker['Mb']) + ",") + if "lod_score" in marker.keys(): + output_file.write(str(marker['lod_score'])) + else: + output_file.write(str(marker['lrs_value'])) + if "additive" in marker.keys(): + output_file.write("," + str(marker['additive'])) + if "dominance" in marker.keys(): + output_file.write("," + str(marker['dominance'])) + if i < (len(markers) - 1): + output_file.write("\n") + +def trim_markers_for_figure(markers): + if 'p_wald' in markers[0].keys(): + score_type = 'p_wald' + elif 'lod_score' in markers[0].keys(): + score_type = 'lod_score' + else: + score_type = 'lrs_value' + + filtered_markers = [] + low_counter = 0 + med_counter = 0 + high_counter = 0 + for marker in markers: + if score_type == 'p_wald': + if marker[score_type] > 0.1: + if low_counter % 20 == 0: + filtered_markers.append(marker) + low_counter += 1 + elif 0.1 >= marker[score_type] > 0.01: + if med_counter % 10 == 0: + filtered_markers.append(marker) + med_counter += 1 + elif 0.01 >= marker[score_type] > 0.001: + if high_counter % 2 == 0: + filtered_markers.append(marker) + high_counter += 1 + else: + filtered_markers.append(marker) + elif score_type == 'lod_score': + if marker[score_type] < 1: + if low_counter % 20 == 0: + filtered_markers.append(marker) + low_counter += 1 + elif 1 <= marker[score_type] < 2: + if med_counter % 10 == 0: + filtered_markers.append(marker) + med_counter += 1 + elif 2 <= marker[score_type] <= 3: + if high_counter % 2 == 0: + filtered_markers.append(marker) + high_counter += 1 + else: + filtered_markers.append(marker) + else: + if marker[score_type] < 4.61: + if low_counter % 20 == 0: + filtered_markers.append(marker) + low_counter += 1 + elif 4.61 <= marker[score_type] < (2*4.61): + if med_counter % 10 == 0: + filtered_markers.append(marker) + med_counter += 1 + elif (2*4.61) <= marker[score_type] <= (3*4.61): + if high_counter % 2 == 0: + filtered_markers.append(marker) + high_counter += 1 + else: + filtered_markers.append(marker) + return filtered_markers + +def trim_markers_for_table(markers): + if 'lod_score' in markers[0].keys(): + sorted_markers = sorted(markers, key=lambda k: k['lod_score'], reverse=True) + else: + sorted_markers = sorted(markers, key=lambda k: k['lrs_value'], reverse=True) + + #ZS: So we end up with a list of just 2000 markers + if len(sorted_markers) >= 2000: + trimmed_sorted_markers = sorted_markers[:2000] + return trimmed_sorted_markers + else: + return sorted_markers + +def write_input_for_browser(this_dataset, gwas_results, annotations): + file_base = this_dataset.group.name + "_" + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(6)) + gwas_filename = file_base + "_GWAS" + annot_filename = file_base + "_ANNOT" + gwas_path = "{}/gn2/".format(TEMPDIR) + gwas_filename + annot_path = "{}/gn2/".format(TEMPDIR) + annot_filename + + with open(gwas_path + ".json", "w") as gwas_file, open(annot_path + ".json", "w") as annot_file: + gwas_file.write(json.dumps(gwas_results)) + annot_file.write(json.dumps(annotations)) + + return [gwas_filename, annot_filename] + +def geno_db_exists(this_dataset): + geno_db_name = this_dataset.group.name + "Geno" + try: + geno_db = data_set.create_dataset(dataset_name=geno_db_name, get_samplelist=False) + return "True" + except: + return "False" + +def get_chr_lengths(mapping_scale, dataset, qtl_results): + chr_lengths = [] + if mapping_scale == "physic": + for i, the_chr in enumerate(dataset.species.chromosomes.chromosomes): + this_chr = { + "chr": dataset.species.chromosomes.chromosomes[the_chr].name, + "size": str(dataset.species.chromosomes.chromosomes[the_chr].length) + } + chr_lengths.append(this_chr) + else: + this_chr = 1 + highest_pos = 0 + for i, result in enumerate(qtl_results): + chr_as_num = 0 + try: + chr_as_num = int(result['chr']) + except: + chr_as_num = 20 + if chr_as_num > this_chr or i == (len(qtl_results) - 1): + chr_lengths.append({ "chr": str(this_chr), "size": str(highest_pos)}) + this_chr = chr_as_num + highest_pos = 0 + else: + if float(result['Mb']) > highest_pos: + highest_pos = float(result['Mb']) + + return chr_lengths + +def get_genofile_samplelist(dataset): + genofile_samplelist = [] + + genofile_json = dataset.group.get_genofiles() + for genofile in genofile_json: + if genofile['location'] == dataset.group.genofile and 'sample_list' in genofile: + genofile_samplelist = genofile['sample_list'] + + return genofile_samplelist + +def get_perm_strata(this_trait, sample_list, categorical_vars, used_samples): + perm_strata_strings = [] + for sample in used_samples: + if sample in sample_list.sample_attribute_values.keys(): + combined_string = "" + for var in categorical_vars: + if var in sample_list.sample_attribute_values[sample].keys(): + combined_string += str(sample_list.sample_attribute_values[sample][var]) + else: + combined_string += "NA" + else: + combined_string = "NA" + + perm_strata_strings.append(combined_string) + + d = dict([(y,x+1) for x,y in enumerate(sorted(set(perm_strata_strings)))]) + list_to_numbers = [d[x] for x in perm_strata_strings] + perm_strata = list_to_numbers + + return perm_strata
\ No newline at end of file diff --git a/wqflask/wqflask/network_graph/network_graph.py b/wqflask/wqflask/network_graph/network_graph.py index 63273a29..152e4168 100644 --- a/wqflask/wqflask/network_graph/network_graph.py +++ b/wqflask/wqflask/network_graph/network_graph.py @@ -40,7 +40,6 @@ import rpy2.robjects as robjects from pprint import pformat as pf -from htmlgen import HTMLgen2 as HT import reaper from utility.THCell import THCell @@ -48,6 +47,7 @@ from utility.TDCell import TDCell from base.trait import GeneralTrait from base import data_set from utility import webqtlUtil, helper_functions, corr_result_helpers +from utility.tools import GN2_BRANCH_URL from db import webqtlDatabaseFunction import utility.webqtlUtil #this is for parallel computing only. from wqflask.correlation import correlation_functions @@ -196,6 +196,7 @@ class NetworkGraph(object): self.nodes_list.append(node_dict) self.elements = json.dumps(self.nodes_list + self.edges_list) + self.gn2_url = GN2_BRANCH_URL groups = [] for sample in self.all_sample_list: diff --git a/wqflask/wqflask/parser.py b/wqflask/wqflask/parser.py index ea7ab1b9..1ca5ecff 100644 --- a/wqflask/wqflask/parser.py +++ b/wqflask/wqflask/parser.py @@ -33,20 +33,18 @@ def parse(pstring): """ pstring = re.split(r"""(?:(\w+\s*=\s*[\('"\[][^)'"]*[\)\]'"]) | # LRS=(1 2 3), cisLRS=[4 5 6], etc (\w+\s*[=:\>\<][\w\*]+) | # wiki=bar, GO:foobar, etc + (".*?") | ('.*?') | # terms in quotes, i.e. "brain weight" ([\w\*]+)) # shh, brain, etc """, pstring, flags=re.VERBOSE) + pstring = [item.strip() for item in pstring if item and item.strip()] - print(pstring) + logger.debug("pstring:", pstring) items = [] separators = [re.escape(x) for x in ("<=", ">=", ":", "=", "<", ">")] separators = '(%s)' % ("|".join(separators)) - logger.debug("separators:", separators) - - - for item in pstring: splat = re.split(separators, item) logger.debug("splat is:", splat) @@ -70,6 +68,8 @@ def parse(pstring): separator=separator, search_term=value) else: + if (item[0] == "\"" and item[-1] == "\"") or (item[0] == "'" and item[-1] == "'"): + item = item[1:-1] term = dict(key=None, separator=None, search_term=[item]) diff --git a/wqflask/wqflask/search_results.py b/wqflask/wqflask/search_results.py index 53c96591..8f702d58 100644 --- a/wqflask/wqflask/search_results.py +++ b/wqflask/wqflask/search_results.py @@ -11,6 +11,7 @@ import math import datetime import collections import re +import requests from pprint import pformat as pf @@ -23,9 +24,11 @@ from wqflask import do_search from utility import webqtlUtil,tools from db import webqtlDatabaseFunction -from flask import render_template +from flask import render_template, Flask, g from utility import formatting +from utility import hmac +from utility.tools import GN2_BASE_URL from utility.type_checking import is_float, is_int, is_str, get_float, get_int, get_string from utility.logger import getLogger @@ -44,19 +47,8 @@ views.py). # Names and IDs of group / F2 set ########################################### - # All Phenotypes is a special case we'll deal with later - #if kw['dataset'] == "All Phenotypes": - # self.cursor.execute(""" - # select PublishFreeze.Name, InbredSet.Name, InbredSet.Id from PublishFreeze, - # InbredSet where PublishFreeze.Name not like 'BXD300%' and InbredSet.Id = - # PublishFreeze.InbredSetId""") - # results = self.cursor.fetchall() - # self.dataset = map(lambda x: DataSet(x[0], self.cursor), results) - # self.dataset_groups = map(lambda x: x[1], results) - # self.dataset_group_ids = map(lambda x: x[2], results) - #else: - self.uc_id = uuid.uuid4() + self.go_term = None logger.debug("uc_id:", self.uc_id) # contains a unique id logger.debug("kw is:", kw) # dict containing search terms @@ -67,6 +59,7 @@ views.py). self.and_or = "and" self.search_terms = kw['search_terms_and'] search = self.search_terms + self.original_search_string = self.search_terms # check for dodgy search terms rx = re.compile(r'.*\W(href|http|sql|select|update)\W.*',re.IGNORECASE) if rx.match(search): @@ -88,7 +81,12 @@ views.py). assert(is_str(kw.get('dataset'))) self.dataset = create_dataset(kw['dataset'], dataset_type) logger.debug("search_terms:", self.search_terms) - self.search() + + #ZS: I don't like using try/except, but it seems like the easiest way to account for all possible bad searches here + try: + self.search() + except: + self.search_term_exists = False if self.search_term_exists: self.gen_search_result() @@ -99,48 +97,113 @@ views.py). the "search" function """ - self.trait_list = [] + trait_list = [] json_trait_list = [] species = webqtlDatabaseFunction.retrieve_species(self.dataset.group.name) # result_set represents the results for each search term; a search of # "shh grin2b" would have two sets of results, one for each term logger.debug("self.results is:", pf(self.results)) + for index, result in enumerate(self.results): if not result: continue #### Excel file needs to be generated #### - #logger.debug("foo locals are:", locals()) + trait_dict = {} trait_id = result[0] + trait_dict['index'] = index + 1 this_trait = trait.GeneralTrait(dataset=self.dataset, name=trait_id, get_qtl_info=True, get_sample_info=False) - self.trait_list.append(this_trait) - json_trait_list.append(trait.jsonable_table_row(this_trait, self.dataset.name, index + 1)) - - self.json_trait_list = json.dumps(json_trait_list) + trait_dict['name'] = this_trait.name + if this_trait.dataset.type == "Publish": + trait_dict['display_name'] = this_trait.display_name + else: + trait_dict['display_name'] = this_trait.name + trait_dict['dataset'] = this_trait.dataset.name + trait_dict['hmac'] = hmac.data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset.name)) + if this_trait.dataset.type == "ProbeSet": + trait_dict['symbol'] = this_trait.symbol + trait_dict['description'] = this_trait.description_display.decode('utf-8', 'replace') + trait_dict['location'] = this_trait.location_repr + trait_dict['mean'] = "N/A" + trait_dict['additive'] = "N/A" + if this_trait.mean != "" and this_trait.mean != None: + trait_dict['mean'] = '%.3f' % this_trait.mean + trait_dict['lrs_score'] = this_trait.LRS_score_repr + trait_dict['lrs_location'] = this_trait.LRS_location_repr + if this_trait.additive != "": + trait_dict['additive'] = '%.3f' % this_trait.additive + elif this_trait.dataset.type == "Geno": + trait_dict['location'] = this_trait.location_repr + elif this_trait.dataset.type == "Publish": + trait_dict['description'] = this_trait.description_display + trait_dict['authors'] = this_trait.authors + trait_dict['pubmed_id'] = "N/A" + if this_trait.pubmed_id: + trait_dict['pubmed_id'] = this_trait.pubmed_id + trait_dict['pubmed_link'] = this_trait.pubmed_link + trait_dict['pubmed_text'] = this_trait.pubmed_text + trait_dict['mean'] = "N/A" + if this_trait.mean != "" and this_trait.mean != None: + trait_dict['mean'] = '%.3f' % this_trait.mean + trait_dict['lrs_score'] = this_trait.LRS_score_repr + trait_dict['lrs_location'] = this_trait.LRS_location_repr + trait_dict['additive'] = "N/A" + if this_trait.additive != "": + trait_dict['additive'] = '%.3f' % this_trait.additive + trait_list.append(trait_dict) + #json_trait_list.append(trait.jsonable_table_row(this_trait, self.dataset.name, index + 1)) - #def get_group_species_tree(self): - # self.species_groups = collections.default_dict(list) - # for key in self.results: - # for item in self.results[key]: - # self.species_groups[item['result_fields']['species']].append( - # item['result_fields']['group_name']) + self.trait_list = json.dumps(trait_list) + #self.json_trait_list = json.dumps(json_trait_list) def search(self): - """This function sets up the actual search query in the form of a SQL -statement and executes + """ + This function sets up the actual search query in the form of a SQL statement and executes """ self.search_terms = parser.parse(self.search_terms) logger.debug("After parsing:", self.search_terms) - if len(self.search_terms) > 1: - logger.debug("len(search_terms)>1") - combined_from_clause = "" - combined_where_clause = "" - previous_from_clauses = [] #The same table can't be referenced twice in the from clause - for i, a_search in enumerate(self.search_terms): + combined_from_clause = "" + combined_where_clause = "" + previous_from_clauses = [] #The same table can't be referenced twice in the from clause + + logger.debug("len(search_terms)>1") + symbol_list = [] + if self.dataset.type == "ProbeSet": + for a_search in self.search_terms: + if a_search['key'] == None: + symbol_list.append(a_search['search_term'][0]) + + alias_terms = get_aliases(symbol_list, self.dataset.group.species) + + for i, a_search in enumerate(alias_terms): + the_search = self.get_search_ob(a_search) + if the_search != None: + get_from_clause = getattr(the_search, "get_from_clause", None) + if callable(get_from_clause): + from_clause = the_search.get_from_clause() + if from_clause in previous_from_clauses: + pass + else: + previous_from_clauses.append(from_clause) + combined_from_clause += from_clause + where_clause = the_search.get_alias_where_clause() + combined_where_clause += "(" + where_clause + ")" + if self.and_or == "and": + combined_where_clause += "AND" + else: + combined_where_clause += "OR" + + for i, a_search in enumerate(self.search_terms): + if a_search['key'] == "GO": + self.go_term = a_search['search_term'][0] + gene_list = get_GO_symbols(a_search) + self.search_terms += gene_list + continue + else: the_search = self.get_search_ob(a_search) if the_search != None: get_from_clause = getattr(the_search, "get_from_clause", None) @@ -159,27 +222,12 @@ statement and executes else: combined_where_clause += "OR" else: - logger.debug("Search failed 1") self.search_term_exists = False - if self.search_term_exists: - combined_where_clause = "(" + combined_where_clause + ")" - final_query = the_search.compile_final_query(combined_from_clause, combined_where_clause) - # logger.debug("final_query",final_query) - results = the_search.execute(final_query) - self.results.extend(results) - else: - logger.debug("len(search_terms)<=1") - if self.search_terms == []: - logger.debug("Search failed 2") - self.search_term_exists = False - else: - for a_search in self.search_terms: - the_search = self.get_search_ob(a_search) - if the_search != None: - self.results.extend(the_search.run()) - else: - logger.debug("Search failed 3") - self.search_term_exists = False + if self.search_term_exists: + combined_where_clause = "(" + combined_where_clause + ")" + final_query = the_search.compile_final_query(combined_from_clause, combined_where_clause) + results = the_search.execute(final_query) + self.results.extend(results) if self.search_term_exists: if the_search != None: @@ -193,6 +241,8 @@ statement and executes search_type['dataset_type'] = self.dataset.type if a_search['key']: search_type['key'] = a_search['key'].upper() + else: + search_type['key'] = None logger.debug("search_type is:", pf(search_type)) search_ob = do_search.DoSearch.get_search(search_type) @@ -202,7 +252,68 @@ statement and executes the_search = search_class(search_term, search_operator, self.dataset, + search_type['key'] ) return the_search else: return None + +def get_GO_symbols(a_search): + query = """SELECT genes + FROM GORef + WHERE goterm='{0}:{1}'""".format(a_search['key'], a_search['search_term'][0]) + + gene_list = g.db.execute(query).fetchone()[0].strip().split() + + new_terms = [] + for gene in gene_list: + this_term = dict(key=None, + separator=None, + search_term=[gene]) + + new_terms.append(this_term) + + return new_terms + +def insert_newlines(string, every=64): + """ This is because it is seemingly impossible to change the width of the description column, so I'm just manually adding line breaks """ + lines = [] + for i in xrange(0, len(string), every): + lines.append(string[i:i+every]) + return '\n'.join(lines) + +def get_aliases(symbol_list, species): + + updated_symbols = [] + for symbol in symbol_list: + if species == "mouse": + updated_symbols.append(symbol.capitalize()) + elif species == "human": + updated_symbols.append(symbol.upper()) + else: + updated_symbols.append(symbol) + + symbols_string = ",".join(updated_symbols) + + filtered_aliases = [] + response = requests.get(GN2_BASE_URL + "/gn3/gene/aliases2/" + symbols_string) + if response: + alias_lists = json.loads(response.content) + seen = set() + for aliases in alias_lists: + for item in aliases[1]: + if item in seen: + continue + else: + filtered_aliases.append(item) + seen.add(item) + + search_terms = [] + for alias in filtered_aliases: + the_search_term = {'key': None, + 'search_term': [alias], + 'separator' : None} + search_terms.append(the_search_term) + + return search_terms + diff --git a/wqflask/wqflask/show_trait/SampleList.py b/wqflask/wqflask/show_trait/SampleList.py index 8dbba530..ad78ebcc 100644 --- a/wqflask/wqflask/show_trait/SampleList.py +++ b/wqflask/wqflask/show_trait/SampleList.py @@ -14,8 +14,6 @@ import simplejson as json import itertools -from utility.elasticsearch_tools import get_elasticsearch_connection - import utility.logger logger = utility.logger.getLogger(__name__ ) @@ -24,8 +22,8 @@ class SampleList(object): dataset, sample_names, this_trait, - sample_group_type, - header): + sample_group_type = "primary", + header = "Samples"): self.dataset = dataset self.this_trait = this_trait @@ -39,14 +37,14 @@ class SampleList(object): #self.sample_qnorm = get_transform_vals(self.dataset, this_trait) - if self.this_trait and self.dataset and self.dataset.type == 'ProbeSet': + if self.this_trait and self.dataset: self.get_extra_attribute_values() for counter, sample_name in enumerate(sample_names, 1): sample_name = sample_name.replace("_2nd_", "") if type(self.this_trait) is list: #ZS: self.this_trait will be a list if it is a Temp trait - if counter <= len(self.this_trait) and self.this_trait[counter-1] != 'X': + if counter <= len(self.this_trait) and str(self.this_trait[counter-1]).upper() != 'X': sample = webqtlCaseData.webqtlCaseData(name=sample_name, value=float(self.this_trait[counter-1])) else: sample = webqtlCaseData.webqtlCaseData(name=sample_name) @@ -55,39 +53,26 @@ class SampleList(object): try: sample = self.this_trait.data[sample_name] except KeyError: - logger.debug("No sample %s, let's create it now" % sample_name) + #logger.debug("No sample %s, let's create it now" % sample_name) sample = webqtlCaseData.webqtlCaseData(name=sample_name) - #sampleNameAdd = '' - #if fd.RISet == 'AXBXA' and sampleName in ('AXB18/19/20','AXB13/14','BXA8/17'): - # sampleNameAdd = HT.Href(url='/mouseCross.html#AXB/BXA', text=HT.Sup('#'), Class='fs12', target="_blank") sample.extra_info = {} if self.dataset.group.name == 'AXBXA' and sample_name in ('AXB18/19/20','AXB13/14','BXA8/17'): sample.extra_info['url'] = "/mouseCross.html#AXB/BXA" sample.extra_info['css_class'] = "fs12" - # logger.debug(" type of sample:", type(sample)) - - if sample_group_type == 'primary': - sample.this_id = "Primary_" + str(counter) - else: - sample.this_id = "Other_" + str(counter) + sample.this_id = str(counter) #### For extra attribute columns; currently only used by several datasets - Zach if self.sample_attribute_values: sample.extra_attributes = self.sample_attribute_values.get(sample_name, {}) - logger.debug("sample.extra_attributes is", pf(sample.extra_attributes)) + #logger.debug("sample.extra_attributes is", pf(sample.extra_attributes)) self.sample_list.append(sample) - logger.debug("self.attributes is", pf(self.attributes)) + #logger.debug("attribute vals are", pf(self.sample_attribute_values)) self.do_outliers() - #do_outliers(the_samples) - logger.debug("*the_samples are [%i]: %s" % (len(self.sample_list), pf(self.sample_list))) - #for sample in self.sample_list: - # logger.debug("apple:", type(sample), sample) - #return the_samples def __repr__(self): return "<SampleList> --> %s" % (pf(self.__dict__)) @@ -110,33 +95,46 @@ class SampleList(object): # Get attribute names and distinct values for each attribute results = g.db.execute(''' - SELECT DISTINCT CaseAttribute.Id, CaseAttribute.Name, CaseAttributeXRef.Value - FROM CaseAttribute, CaseAttributeXRef - WHERE CaseAttributeXRef.CaseAttributeId = CaseAttribute.Id - AND CaseAttributeXRef.ProbeSetFreezeId = %s - ORDER BY CaseAttribute.Name''', (str(self.dataset.id),)) + SELECT DISTINCT CaseAttribute.Id, CaseAttribute.Name, CaseAttributeXRefNew.Value + FROM CaseAttribute, CaseAttributeXRefNew + WHERE CaseAttributeXRefNew.CaseAttributeId = CaseAttribute.Id + AND CaseAttributeXRefNew.InbredSetId = %s + ORDER BY CaseAttribute.Name''', (str(self.dataset.group.id),)) self.attributes = {} for attr, values in itertools.groupby(results.fetchall(), lambda row: (row.Id, row.Name)): key, name = attr - logger.debug("radish: %s - %s" % (key, name)) + #logger.debug("radish: %s - %s" % (key, name)) self.attributes[key] = Bunch() self.attributes[key].name = name self.attributes[key].distinct_values = [item.Value for item in values] self.attributes[key].distinct_values.sort(key=natural_sort_key) + all_numbers = True + for value in self.attributes[key].distinct_values: + try: + val_as_float = float(value) + except: + all_numbers = False + + if all_numbers: + self.attributes[key].alignment = "right" + else: + self.attributes[key].alignment = "left" + def get_extra_attribute_values(self): if self.attributes: - results = g.db.execute(''' - SELECT Strain.Name AS SampleName, CaseAttributeId AS Id, CaseAttributeXRef.Value - FROM Strain, StrainXRef, InbredSet, CaseAttributeXRef + query = ''' + SELECT Strain.Name AS SampleName, CaseAttributeId AS Id, CaseAttributeXRefNew.Value + FROM Strain, StrainXRef, InbredSet, CaseAttributeXRefNew WHERE StrainXRef.StrainId = Strain.Id AND InbredSet.Id = StrainXRef.InbredSetId - AND CaseAttributeXRef.StrainId = Strain.Id - AND InbredSet.Name = %s - AND CaseAttributeXRef.ProbeSetFreezeId = %s - ORDER BY SampleName''', - (self.dataset.group.name, self.this_trait.dataset.id)) + AND CaseAttributeXRefNew.StrainId = Strain.Id + AND InbredSet.Id = CaseAttributeXRefNew.InbredSetId + AND CaseAttributeXRefNew.InbredSetId = %s + ORDER BY SampleName''' % self.dataset.group.id + + results = g.db.execute(query) for sample_name, items in itertools.groupby(results.fetchall(), lambda row: row.SampleName): attribute_values = {} @@ -158,47 +156,47 @@ class SampleList(object): return any(sample.variance for sample in self.sample_list) -def get_transform_vals(dataset, trait): - es = get_elasticsearch_connection(for_user=False) - - logger.info("DATASET NAME:", dataset.name) - - query = '{"bool": {"must": [{"match": {"name": "%s"}}, {"match": {"dataset": "%s"}}]}}' % (trait.name, dataset.name) - - es_body = { - "query": { - "bool": { - "must": [ - { - "match": { - "name": "%s" % (trait.name) - } - }, - { - "match": { - "dataset": "%s" % (dataset.name) - } - } - ] - } - } - } - - response = es.search( index = "traits", doc_type = "trait", body = es_body ) - logger.info("THE RESPONSE:", response) - results = response['hits']['hits'] - - if len(results) > 0: - samples = results[0]['_source']['samples'] - - sample_dict = {} - for sample in samples: - sample_dict[sample['name']] = sample['qnorm'] - - logger.info("SAMPLE DICT:", sample_dict) - return sample_dict - else: - return None +# def get_transform_vals(dataset, trait): +# es = get_elasticsearch_connection(for_user=False) + +# logger.info("DATASET NAME:", dataset.name) + +# query = '{"bool": {"must": [{"match": {"name": "%s"}}, {"match": {"dataset": "%s"}}]}}' % (trait.name, dataset.name) + +# es_body = { +# "query": { +# "bool": { +# "must": [ +# { +# "match": { +# "name": "%s" % (trait.name) +# } +# }, +# { +# "match": { +# "dataset": "%s" % (dataset.name) +# } +# } +# ] +# } +# } +# } + +# response = es.search( index = "traits", doc_type = "trait", body = es_body ) +# logger.info("THE RESPONSE:", response) +# results = response['hits']['hits'] + +# if len(results) > 0: +# samples = results[0]['_source']['samples'] + +# sample_dict = {} +# for sample in samples: +# sample_dict[sample['name']] = sample['qnorm'] + +# #logger.info("SAMPLE DICT:", sample_dict) +# return sample_dict +# else: +# return None def natural_sort_key(x): """Get expected results when using as a key for sort - ints or strings are sorted properly""" diff --git a/wqflask/wqflask/show_trait/export_trait_data.py b/wqflask/wqflask/show_trait/export_trait_data.py index 558372bb..7ca4a4c0 100644 --- a/wqflask/wqflask/show_trait/export_trait_data.py +++ b/wqflask/wqflask/show_trait/export_trait_data.py @@ -7,6 +7,7 @@ from pprint import pformat as pf def export_sample_table(targs): sample_data = json.loads(targs['export_data']) + trait_name = targs['trait_display_name'] final_sample_data = [] for sample_group in ['primary_samples', 'other_samples']: @@ -15,7 +16,7 @@ def export_sample_table(targs): print("sorted_row is:", pf(sorted_row)) final_sample_data.append(sorted_row) - return final_sample_data + return trait_name, final_sample_data def dict_to_sorted_list(dictionary): sorted_list = [item for item in dictionary.iteritems()] @@ -27,11 +28,19 @@ def cmp_samples(a, b): if b[0] == 'name': return 1 elif b[0] == 'value': - if a[0] == 'se': + if a[0] == 'name': + return -1 + else: return 1 + elif b[0] == 'se': + if a[0] == 'name' or a[0] == 'value': + return -1 else: + return 1 + elif b[0] == 'num_cases': + if a[0] == 'name' or a[0] == 'value' or a[0] == 'se': return -1 - elif b[0] == 'se': - return -1 + else: + return 1 else: - return 0
\ No newline at end of file + return -1
\ No newline at end of file diff --git a/wqflask/wqflask/show_trait/show_trait.py b/wqflask/wqflask/show_trait/show_trait.py index 7b952af4..8883e627 100644 --- a/wqflask/wqflask/show_trait/show_trait.py +++ b/wqflask/wqflask/show_trait/show_trait.py @@ -5,6 +5,7 @@ import os import datetime import cPickle import uuid +import requests import json as json from collections import OrderedDict @@ -12,12 +13,11 @@ from collections import OrderedDict import redis Redis = redis.StrictRedis() +import numpy as np import scipy.stats as ss from flask import Flask, g -from htmlgen import HTMLgen2 as HT - from base import webqtlConfig from base import webqtlCaseData from wqflask.show_trait.SampleList import SampleList @@ -53,13 +53,12 @@ class ShowTrait(object): self.temp_species = kw['species'] self.temp_group = kw['group'] self.dataset = data_set.create_dataset(dataset_name = "Temp", dataset_type = "Temp", group_name = self.temp_group) + # Put values in Redis so they can be looked up later if added to a collection + Redis.set(self.trait_id, kw['trait_paste']) + self.trait_vals = kw['trait_paste'].split() self.this_trait = GeneralTrait(dataset=self.dataset, name=self.trait_id, cellid=None) - self.trait_vals = kw['trait_paste'].split() - - # Put values in Redis so they can be looked up later if added to a collection - Redis.set(self.trait_id, kw['trait_paste']) else: self.temp_trait = True self.trait_id = kw['trait_id'] @@ -109,13 +108,13 @@ class ShowTrait(object): blatsequence += '%3EProbe_' + string.strip(seqt[1]) + '%0A' + string.strip(seqt[0]) + '%0A' if self.dataset.group.species == "rat": - self.UCSC_BLAT_URL = webqtlConfig.UCSC_BLAT % ('rat', 'rn3', blatsequence) + self.UCSC_BLAT_URL = webqtlConfig.UCSC_BLAT % ('rat', 'rn6', blatsequence) self.UTHSC_BLAT_URL = "" elif self.dataset.group.species == "mouse": - self.UCSC_BLAT_URL = webqtlConfig.UTHSC_BLAT2 % ('mouse', 'mm10', blatsequence) + self.UCSC_BLAT_URL = webqtlConfig.UCSC_BLAT % ('mouse', 'mm10', blatsequence) self.UTHSC_BLAT_URL = webqtlConfig.UTHSC_BLAT % ('mouse', 'mm10', blatsequence) elif self.dataset.group.species == "human": - self.UCSC_BLAT_URL = webqtlConfig.UTHSC_BLAT2 % ('human', 'hg19', blatsequence) + self.UCSC_BLAT_URL = webqtlConfig.UCSC_BLAT % ('human', 'hg38', blatsequence) self.UTHSC_BLAT_URL = "" else: self.UCSC_BLAT_URL = "" @@ -124,11 +123,18 @@ class ShowTrait(object): self.UCSC_BLAT_URL = "" self.UTHSC_BLAT_URL = "" + if self.dataset.type == "ProbeSet": + self.show_probes = "True" + + trait_units = get_trait_units(self.this_trait) + self.get_external_links() self.build_correlation_tools() + self.ncbi_summary = get_ncbi_summary(self.this_trait) + #Get nearest marker for composite mapping if not self.temp_trait: - if hasattr(self.this_trait, 'locus_chr') and self.this_trait.locus_chr != "" and self.dataset.type != "Geno" and self.dataset.type != "Publish": + if check_if_attr_exists(self.this_trait, 'locus_chr') and self.dataset.type != "Geno" and self.dataset.type != "Publish": self.nearest_marker = get_nearest_marker(self.this_trait, self.dataset) #self.nearest_marker1 = get_nearest_marker(self.this_trait, self.dataset)[0] #self.nearest_marker2 = get_nearest_marker(self.this_trait, self.dataset)[1] @@ -140,14 +146,78 @@ class ShowTrait(object): self.make_sample_lists() self.qnorm_vals = quantile_normalize_vals(self.sample_groups) + self.z_scores = get_z_scores(self.sample_groups) + + self.temp_uuid = uuid.uuid4() + + self.sample_group_types = OrderedDict() + if len(self.sample_groups) > 1: + self.sample_group_types['samples_primary'] = self.dataset.group.name + self.sample_group_types['samples_other'] = "Other" + self.sample_group_types['samples_all'] = "All" + else: + self.sample_group_types['samples_primary'] = self.dataset.group.name + sample_lists = [group.sample_list for group in self.sample_groups] + + categorical_var_list = [] + if not self.temp_trait: + categorical_var_list = get_categorical_variables(self.this_trait, self.sample_groups[0]) #ZS: Only using first samplelist, since I think mapping only uses those samples + + #ZS: Get list of chromosomes to select for mapping + self.chr_list = [["All", -1]] + for i, this_chr in enumerate(self.dataset.species.chromosomes.chromosomes): + self.chr_list.append([self.dataset.species.chromosomes.chromosomes[this_chr].name, i]) + + self.genofiles = self.dataset.group.get_genofiles() + + self.has_num_cases = has_num_cases(self.this_trait) + + self.stats_table_width, self.trait_table_width = get_table_widths(self.sample_groups, self.has_num_cases) + + #ZS: Needed to know whether to display bar chart + get max sample name length in order to set table column width + self.num_values = 0 + self.binary = "true" #ZS: So it knows whether to display the Binary R/qtl mapping method, which doesn't work unless all values are 0 or 1 + self.negative_vals_exist = "false" #ZS: Since we don't want to show log2 transform option for situations where it doesn't make sense + max_samplename_width = 1 + for group in self.sample_groups: + for sample in group.sample_list: + if len(sample.name) > max_samplename_width: + max_samplename_width = len(sample.name) + if sample.display_value != "x": + self.num_values += 1 + if sample.display_value != 0 or sample.display_value != 1: + self.binary = "false" + if sample.value < 0: + self.negative_vals_exist = "true" + + sample_column_width = max_samplename_width * 8 + + if self.num_values >= 5000: + self.maf = 0.01 + else: + self.maf = 0.05 + + trait_symbol = None + short_description = None + if not self.temp_trait: + if self.this_trait.symbol: + trait_symbol = self.this_trait.symbol + short_description = trait_symbol + + elif hasattr(self.this_trait, 'post_publication_abbreviation'): + short_description = self.this_trait.post_publication_abbreviation + + elif hasattr(self.this_trait, 'pre_publication_abbreviation'): + short_description = self.this_trait.pre_publication_abbreviation # Todo: Add back in the ones we actually need from below, as we discover we need them hddn = OrderedDict() if self.dataset.group.allsamples: hddn['allsamples'] = string.join(self.dataset.group.allsamples, ' ') - + hddn['primary_samples'] = string.join(self.primary_sample_names, ',') hddn['trait_id'] = self.trait_id + hddn['trait_display_name'] = self.this_trait.display_name hddn['dataset'] = self.dataset.name hddn['temp_trait'] = False if self.temp_trait: @@ -155,10 +225,12 @@ class ShowTrait(object): hddn['group'] = self.temp_group hddn['species'] = self.temp_species hddn['use_outliers'] = False - hddn['method'] = "pylmm" + hddn['method'] = "gemma" + hddn['selected_chr'] = -1 hddn['mapping_display_all'] = True hddn['suggestive'] = 0 hddn['num_perm'] = 0 + hddn['categorical_vars'] = "" hddn['manhattan_plot'] = "" hddn['control_marker'] = "" if not self.temp_trait: @@ -166,43 +238,111 @@ class ShowTrait(object): hddn['control_marker'] = self.nearest_marker #hddn['control_marker'] = self.nearest_marker1+","+self.nearest_marker2 hddn['do_control'] = False - hddn['maf'] = 0.01 + hddn['maf'] = 0.05 hddn['compare_traits'] = [] hddn['export_data'] = "" + hddn['export_format'] = "excel" # We'll need access to this_trait and hddn in the Jinja2 Template, so we put it inside self self.hddn = hddn - self.temp_uuid = uuid.uuid4() - - self.sample_group_types = OrderedDict() - if len(self.sample_groups) > 1: - self.sample_group_types['samples_primary'] = self.dataset.group.name - self.sample_group_types['samples_other'] = "Other" - self.sample_group_types['samples_all'] = "All" - else: - self.sample_group_types['samples_primary'] = self.dataset.group.name - sample_lists = [group.sample_list for group in self.sample_groups] - - self.genofiles = get_genofiles(self.dataset) - - self.stats_table_width, self.trait_table_width = get_table_widths(self.sample_groups) - - trait_symbol = None - if not self.temp_trait: - if self.this_trait.symbol: - trait_symbol = self.this_trait.symbol - js_data = dict(trait_id = self.trait_id, trait_symbol = trait_symbol, + short_description = short_description, + unit_type = trait_units, dataset_type = self.dataset.type, data_scale = self.dataset.data_scale, sample_group_types = self.sample_group_types, sample_lists = sample_lists, attribute_names = self.sample_groups[0].attributes, + categorical_vars = ",".join(categorical_var_list), + num_values = self.num_values, + qnorm_values = self.qnorm_vals, + zscore_values = self.z_scores, + sample_column_width = sample_column_width, temp_uuid = self.temp_uuid) self.js_data = js_data + def get_external_links(self): + #ZS: There's some weirdness here because some fields don't exist while others are empty strings + self.pubmed_link = webqtlConfig.PUBMEDLINK_URL % self.this_trait.pubmed_id if check_if_attr_exists(self.this_trait, 'pubmed_id') else None + self.ncbi_gene_link = webqtlConfig.NCBI_LOCUSID % self.this_trait.geneid if check_if_attr_exists(self.this_trait, 'geneid') else None + self.omim_link = webqtlConfig.OMIM_ID % self.this_trait.omim if check_if_attr_exists(self.this_trait, 'omim') else None + self.homologene_link = webqtlConfig.HOMOLOGENE_ID % self.this_trait.homologeneid if check_if_attr_exists(self.this_trait, 'homologeneid') else None + + self.genbank_link = None + if check_if_attr_exists(self.this_trait, 'genbankid'): + genbank_id = '|'.join(self.this_trait.genbankid.split('|')[0:10]) + if genbank_id[-1] == '|': + genbank_id = genbank_id[0:-1] + self.genbank_link = webqtlConfig.GENBANK_ID % genbank_id + + self.uniprot_link = None + if check_if_attr_exists(self.this_trait, 'uniprotid'): + self.uniprot_link = webqtlConfig.UNIPROT_URL % self.this_trait.uniprotid + + self.genotation_link = self.rgd_link = self.gtex_link = self.genebridge_link = self.ucsc_blat_link = self.biogps_link = self.protein_atlas_link = None + self.string_link = self.panther_link = self.aba_link = self.ebi_gwas_link = self.wiki_pi_link = self.genemania_link = self.ensembl_link = None + if self.this_trait.symbol: + self.genotation_link = webqtlConfig.GENOTATION_URL % self.this_trait.symbol + self.gtex_link = webqtlConfig.GTEX_URL % self.this_trait.symbol + self.string_link = webqtlConfig.STRING_URL % self.this_trait.symbol + self.panther_link = webqtlConfig.PANTHER_URL % self.this_trait.symbol + self.ebi_gwas_link = webqtlConfig.EBIGWAS_URL % self.this_trait.symbol + self.protein_atlas_link = webqtlConfig.PROTEIN_ATLAS_URL % self.this_trait.symbol + #self.open_targets_link = webqtlConfig.OPEN_TARGETS_URL % self.this_trait.symbol + + if self.dataset.group.species == "mouse" or self.dataset.group.species == "human": + self.rgd_link = webqtlConfig.RGD_URL % (self.this_trait.symbol, self.dataset.group.species.capitalize()) + if self.dataset.group.species == "mouse": + self.genemania_link = webqtlConfig.GENEMANIA_URL % ("mus-musculus", self.this_trait.symbol) + else: + self.genemania_link = webqtlConfig.GENEMANIA_URL % ("homo-sapiens", self.this_trait.symbol) + + if self.dataset.group.species == "mouse": + self.aba_link = webqtlConfig.ABA_URL % self.this_trait.symbol + + query = """SELECT chromosome, txStart, txEnd + FROM GeneList + WHERE geneSymbol = '{}'""".format(self.this_trait.symbol) + + results = g.db.execute(query).fetchone() + if results: + chr, transcript_start, transcript_end = results + else: + chr = transcript_start = transcript_end = None + + if chr and transcript_start and transcript_end and self.this_trait.refseq_transcriptid: + transcript_start = int(transcript_start*1000000) + transcript_end = int(transcript_end*1000000) + self.ucsc_blat_link = webqtlConfig.UCSC_REFSEQ % ('mm10', self.this_trait.refseq_transcriptid, chr, transcript_start, transcript_end) + + if self.dataset.group.species == "rat": + self.rgd_link = webqtlConfig.RGD_URL % (self.this_trait.symbol, self.dataset.group.species.capitalize()) + self.genemania_link = webqtlConfig.GENEMANIA_URL % ("rattus-norvegicus", self.this_trait.symbol) + + query = """SELECT kgID, chromosome, txStart, txEnd + FROM GeneList_rn33 + WHERE geneSymbol = '{}'""".format(self.this_trait.symbol) + + results = g.db.execute(query).fetchone() + if results: + kgId, chr, transcript_start, transcript_end = results + else: + kgId = chr = transcript_start = transcript_end = None + + if chr and transcript_start and transcript_end and kgId: + transcript_start = int(transcript_start*1000000) # Convert to bases from megabases + transcript_end = int(transcript_end*1000000) + self.ucsc_blat_link = webqtlConfig.UCSC_REFSEQ % ('rn6', kgId, chr, transcript_start, transcript_end) + + if self.this_trait.geneid and (self.dataset.group.species == "mouse" or self.dataset.group.species == "rat" or self.dataset.group.species == "human"): + self.biogps_link = webqtlConfig.BIOGPS_URL % (self.dataset.group.species, self.this_trait.geneid) + self.gemma_link = webqtlConfig.GEMMA_URL % self.this_trait.geneid + + if self.dataset.group.species == "human": + self.aba_link = webqtlConfig.ABA_URL % self.this_trait.geneid + def build_correlation_tools(self): if self.temp_trait == True: this_group = self.temp_group @@ -211,7 +351,7 @@ class ShowTrait(object): # We're checking a string here! assert isinstance(this_group, basestring), "We need a string type thing here" - if this_group[:3] == 'BXD': + if this_group[:3] == 'BXD' and this_group != "BXD-Harvested": this_group = 'BXD' if this_group: @@ -224,8 +364,8 @@ class ShowTrait(object): if self.dataset: dataset_menu_selected = self.dataset.name - return_results_menu = (100, 200, 500, 1000, 2000, 5000, 10000, 15000, 20000) - return_results_menu_selected = 500 + return_results_menu = (100, 200, 500, 1000, 2000, 5000, 10000, 15000, 20000) + return_results_menu_selected = 500 self.corr_tools = dict(dataset_menu = dataset_menu, dataset_menu_selected = dataset_menu_selected, @@ -235,6 +375,10 @@ class ShowTrait(object): def make_sample_lists(self): all_samples_ordered = self.dataset.group.all_samples_ordered() + parent_f1_samples = [] + if self.dataset.group.parlist and self.dataset.group.f1list: + parent_f1_samples = self.dataset.group.parlist + self.dataset.group.f1list + primary_sample_names = list(all_samples_ordered) if not self.temp_trait: @@ -247,31 +391,32 @@ class ShowTrait(object): all_samples_ordered.append(sample) other_sample_names.append(sample) - if self.dataset.group.species == "human": + #ZS: CFW is here because the .geno file doesn't properly contain its full list of samples. This should probably be fixed. + if self.dataset.group.species == "human" or (set(primary_sample_names) == set(parent_f1_samples)) or self.dataset.group.name == "CFW": primary_sample_names += other_sample_names + other_sample_names = [] + if other_sample_names: + primary_header = "%s Only" % (self.dataset.group.name) + else: + primary_header = "Samples" primary_samples = SampleList(dataset = self.dataset, sample_names=primary_sample_names, this_trait=self.this_trait, sample_group_type='primary', - header="%s Only" % (self.dataset.group.name)) - - if other_sample_names and self.dataset.group.species != "human" and self.dataset.group.name != "CFW": - parent_f1_samples = None - if self.dataset.group.parlist and self.dataset.group.f1list: - parent_f1_samples = self.dataset.group.parlist + self.dataset.group.f1list + header=primary_header) + #if other_sample_names and self.dataset.group.species != "human" and self.dataset.group.name != "CFW": + if len(other_sample_names) > 0: other_sample_names.sort() #Sort other samples if parent_f1_samples: other_sample_names = parent_f1_samples + other_sample_names - logger.debug("other_sample_names:", other_sample_names) - other_samples = SampleList(dataset=self.dataset, sample_names=other_sample_names, this_trait=self.this_trait, sample_group_type='other', - header="Non-%s" % (self.dataset.group.name)) + header="Other") self.sample_groups = (primary_samples, other_samples) else: @@ -283,6 +428,8 @@ class ShowTrait(object): sample_group_type='primary', header="%s Only" % (self.dataset.group.name)) self.sample_groups = (primary_samples,) + + self.primary_sample_names = primary_sample_names self.dataset.group.allsamples = all_samples_ordered def quantile_normalize_vals(sample_groups): @@ -293,6 +440,7 @@ def quantile_normalize_vals(sample_groups): p_list.append(((i+1) - 0.5)/len(trait_vals)) z = ss.norm.ppf(p_list) + normed_vals = [] for rank in ranked_vals: normed_vals.append("%0.3f" % z[int(rank)-1]) @@ -309,7 +457,6 @@ def quantile_normalize_vals(sample_groups): continue qnorm_vals = normf(trait_vals) - qnorm_vals_with_x = [] counter = 0 for sample in sample_type.sample_list: @@ -323,6 +470,30 @@ def quantile_normalize_vals(sample_groups): return qnorm_by_group +def get_z_scores(sample_groups): + zscore_by_group = [] + for sample_type in sample_groups: + trait_vals = [] + for sample in sample_type.sample_list: + try: + trait_vals.append(float(sample.value)) + except: + continue + + zscores = ss.mstats.zscore(np.array(trait_vals)).tolist() + zscores_with_x = [] + counter = 0 + for sample in sample_type.sample_list: + if sample.display_value == "x": + zscores_with_x.append("x") + else: + zscores_with_x.append("%0.3f" % zscores[counter]) + counter += 1 + + zscore_by_group.append(zscores_with_x) + + return zscore_by_group + def get_nearest_marker(this_trait, this_db): this_chr = this_trait.locus_chr logger.debug("this_chr:", this_chr) @@ -346,26 +517,84 @@ def get_nearest_marker(this_trait, this_db): else: return result[0][0] -def get_genofiles(this_dataset): - jsonfile = "%s/%s.json" % (webqtlConfig.GENODIR, this_dataset.group.name) - try: - f = open(jsonfile) - except: - return None - jsondata = json.load(f) - return jsondata['genofile'] - -def get_table_widths(sample_groups): - stats_table_width = 200 +def get_table_widths(sample_groups, has_num_cases=False): + stats_table_width = 250 if len(sample_groups) > 1: stats_table_width = 450 - trait_table_width = 25 + trait_table_width = 380 if sample_groups[0].se_exists(): - trait_table_width += 15 - if (trait_table_width + len(sample_groups[0].attributes)*10) > 100: - trait_table_width = 100 - else: - trait_table_width += len(sample_groups[0].attributes)*10 + trait_table_width += 70 + if has_num_cases: + trait_table_width += 30 + trait_table_width += len(sample_groups[0].attributes)*70 + + trait_table_width = str(trait_table_width) + "px" return stats_table_width, trait_table_width + +def has_num_cases(this_trait): + has_n = False + if this_trait.dataset.type != "ProbeSet" and this_trait.dataset.type != "Geno": + for name, sample in this_trait.data.iteritems(): + if sample.num_cases: + has_n = True + break + + return has_n + +def get_trait_units(this_trait): + unit_type = "" + inside_brackets = False + if this_trait.description_fmt: + if ("[" in this_trait.description_fmt) and ("]" in this_trait.description_fmt): + for i in this_trait.description_fmt: + if inside_brackets: + if i != "]": + unit_type += i + else: + inside_brackets = False + if i == "[": + inside_brackets = True + + if unit_type == "": + unit_type = "Value" + + return unit_type + +def check_if_attr_exists(the_trait, id_type): + if hasattr(the_trait, id_type): + if getattr(the_trait, id_type) == None or getattr(the_trait, id_type) == "": + return False + else: + return True + else: + return False + +def get_ncbi_summary(this_trait): + if check_if_attr_exists(this_trait, 'geneid'): + #ZS: Need to switch this try/except to something that checks the output later + try: + response = requests.get("http://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?db=gene&id=%s&retmode=json" % this_trait.geneid) + summary = json.loads(response.content)['result'][this_trait.geneid]['summary'] + return summary + except: + return None + else: + return None + +def get_categorical_variables(this_trait, sample_list): + categorical_var_list = [] + + if len(sample_list.attributes) > 0: + for attribute in sample_list.attributes: + attribute_vals = [] + for sample_name in this_trait.data.keys(): + attribute_vals.append(this_trait.data[sample_name].extra_attributes[sample_list.attributes[attribute].name]) + + num_distinct = len(set(attribute_vals)) + + if num_distinct < 10: + categorical_var_list.append(sample_list.attributes[attribute].name) + + return categorical_var_list
\ No newline at end of file diff --git a/wqflask/wqflask/snp_browser/__init__.py b/wqflask/wqflask/snp_browser/__init__.py new file mode 100644 index 00000000..e69de29b --- /dev/null +++ b/wqflask/wqflask/snp_browser/__init__.py diff --git a/wqflask/wqflask/snp_browser/snp_browser.py b/wqflask/wqflask/snp_browser/snp_browser.py new file mode 100644 index 00000000..73ab8798 --- /dev/null +++ b/wqflask/wqflask/snp_browser/snp_browser.py @@ -0,0 +1,896 @@ +from __future__ import absolute_import, print_function, division + +from flask import Flask, g, url_for + +import string +import piddle as pid + +from utility.logger import getLogger +logger = getLogger(__name__ ) + +from base import species +from base import webqtlConfig + +class SnpBrowser(object): + + def __init__(self, start_vars): + self.strain_lists = get_browser_sample_lists() + self.initialize_parameters(start_vars) + self.limit_number = 10000 + + if self.first_run == "false": + self.filtered_results = self.get_browser_results() + + if len(self.filtered_results) <= self.limit_number: + self.table_rows = self.get_table_rows() + else: + self.empty_columns = None + self.table_rows = [] + + if self.limit_strains == "true": + self.header_fields, self.empty_field_count = get_header_list(variant_type = self.variant_type, strains = self.chosen_strains, empty_columns = self.empty_columns) + else: + self.header_fields, self.empty_field_count = get_header_list(variant_type = self.variant_type, strains = self.strain_lists, species = self.species_name, empty_columns = self.empty_columns) + + def initialize_parameters(self, start_vars): + if 'first_run' in start_vars: + self.first_run = "false" + else: + self.first_run = "true" + self.allele_list = [] + + self.variant_type = "SNP" + if 'variant' in start_vars: + self.variant_type = start_vars['variant'] + + self.species_name = "Mouse" + self.species_id = 1 + if 'species' in start_vars: + self.species_name = start_vars['species'] + if self.species_name.capitalize() == "Rat": + self.species_id = 2 + + self.mouse_chr_list = [] + self.rat_chr_list = [] + mouse_species_ob = species.TheSpecies(species_name="Mouse") + for key in mouse_species_ob.chromosomes.chromosomes: + self.mouse_chr_list.append(mouse_species_ob.chromosomes.chromosomes[key].name) + rat_species_ob = species.TheSpecies(species_name="Rat") + for key in rat_species_ob.chromosomes.chromosomes: + self.rat_chr_list.append(rat_species_ob.chromosomes.chromosomes[key].name) + + if self.species_id == 1: + self.this_chr_list = self.mouse_chr_list + else: + self.this_chr_list = self.rat_chr_list + + if self.first_run == "true": + self.chr = "19" + self.start_mb = 30.1 + self.end_mb = 30.12 + else: + if 'gene_name' in start_vars: + if start_vars['gene_name'] != "": + self.gene_name = start_vars['gene_name'] + else: + self.gene_name = "" + self.chr = start_vars['chr'] + try: + self.start_mb = float(start_vars['start_mb']) + self.end_mb = float(start_vars['end_mb']) + except: + self.start_mb = 0.0 + self.end_mb = 0.0 + else: + try: + self.chr = start_vars['chr'] + self.start_mb = float(start_vars['start_mb']) + self.end_mb = float(start_vars['end_mb']) + except: + self.chr = "1" + self.start_mb = 0.0 + self.end_mb = 0.0 + + self.limit_strains = "true" + if self.first_run == "false": + if 'limit_strains' not in start_vars: + self.limit_strains = "false" + else: + if start_vars['limit_strains'] == "false": + self.limit_strains = "false" + + self.chosen_strains_mouse = ["C57BL/6J", + "DBA/2J", + "A/J", + "129S1/SvImJ", + "NOD/ShiLtJ", + "NZO/HlLtJ", + "WSB/EiJ", + "PWK/PhJ", + "CAST/EiJ"] + self.chosen_strains_rat = ["BN", "F344", "WLI", "WMI"] + if 'chosen_strains_mouse' in start_vars: + self.chosen_strains_mouse = start_vars['chosen_strains_mouse'].split(",") + if 'chosen_strains_rat' in start_vars: + self.chosen_strains_rat = start_vars['chosen_strains_rat'].split(",") + + if self.species_id == 1: + self.chosen_strains = self.chosen_strains_mouse + else: + self.chosen_strains = self.chosen_strains_rat + + self.domain = "All" + if 'domain' in start_vars: + self.domain = start_vars['domain'] + self.function = "All" + if 'function' in start_vars: + self.function = start_vars['function'] + self.source = "All" + if 'source' in start_vars: + self.source = start_vars['source'] + self.criteria = ">=" + if 'criteria' in start_vars: + self.criteria = start_vars['criteria'] + self.score = 0.0 + if 'score' in start_vars: + self.score = start_vars['score'] + + self.redundant = "false" + if self.first_run == "false" and 'redundant' in start_vars: + self.redundant = "true" + self.diff_alleles = "true" + if self.first_run == "false": + if 'diff_alleles' not in start_vars: + self.diff_alleles = "false" + else: + if start_vars['diff_alleles'] == "false": + self.diff_alleles = "false" + + def get_browser_results(self): + self.snp_list = None + + if self.gene_name != "": + if self.species_id != 0: + query = "SELECT geneSymbol, chromosome, txStart, txEnd FROM GeneList WHERE SpeciesId = %s AND geneSymbol = '%s'" % (self.species_id, self.gene_name) + else: + query = "SELECT geneSymbol, chromosome, txStart, txEnd FROM GeneList WHERE geneSymbol = '%s'" % (self.gene_name) + result = g.db.execute(query).fetchone() + if result: + self.gene_name, self.chr, self.start_mb, self.end_mb = result + else: + result_snp = None + if self.variant_type == "SNP": + if self.gene_name[:2] == "rs": + query = "SELECT Id, Chromosome, Position, Position+0.000001 FROM SnpAll WHERE Rs = '%s'" % self.gene_name + else: + if self.species_id != 0: + query = "SELECT Id, Chromosome, Position, Position+0.000001 FROM SnpAll where SpeciesId = %s AND SnpName = '%s'" % (self.species_id, self.gene_name) + else: + query = "SELECT Id, Chromosome, Position, Position+0.000001 FROM SnpAll where SnpName = '%s'" % (self.gene_name) + result_snp = g.db.execute(query).fetchall() + if result_snp: + self.snp_list = [item[0] for item in result_snp] + self.chr = result_snp[0][1] + self.start_mb = result_snp[0][2] + self.end_mb = result_snp[0][3] + else: + return [] + elif self.variant_type == "InDel": + if self.gene_name[0] == "I": + if self.species_id != 0: + query = "SELECT Id, Chromosome, Mb_start, Mb_end FROM IndelAll WHERE SpeciesId = %s AND Name = '%s'" % (self.species_id, self.gene_name) + else: + query = "SELECT Id, Chromosome, Mb_start, Mb_end FROM IndelAll WHERE Name = '%s'" % (self.gene_name) + result_snp = g.db.execute(query).fetchall() + if result_snp: + self.snp_list = [item[0] for item in result_snp] + self.chr = result_snp[0][1] + self.start_mb = result_snp[0][2] + self.end_mb = result_snp[0][3] + else: + return [] + + if self.variant_type == "SNP": + mouse_query = """ + SELECT + a.*, b.* + FROM + SnpAll a, SnpPattern b + WHERE + a.SpeciesId = %s AND a.Chromosome = '%s' AND + a.Position >= %.6f AND a.Position < %.6f AND + a.Id = b.SnpId + ORDER BY a.Position + """ % (self.species_id, self.chr, self.start_mb, self.end_mb) + + rat_query = """ + SELECT + a.*, b.* + FROM + SnpAll a, RatSnpPattern b + WHERE + a.SpeciesId = %s AND a.Chromosome = '%s' AND + a.Position >= %.6f AND a.Position < %.6f AND + a.Id = b.SnpId + ORDER BY a.Position + """ % (self.species_id, self.chr, self.start_mb, self.end_mb) + if self.species_id == 1: + query = mouse_query + elif self.species_id == 2: + query = rat_query + + elif self.variant_type == "InDel": + if self.species_id != 0: + query = """ + SELECT + DISTINCT a.Name, a.Chromosome, a.SourceId, a.Mb_start, a.Mb_end, a.Strand, a.Type, a.Size, a.InDelSequence, b.Name + FROM + IndelAll a, SnpSource b + WHERE + a.SpeciesId = '%s' AND a.Chromosome = '%s' AND + a.Mb_start >= %2.6f AND a.Mb_start < (%2.6f+.0010) AND + b.Id = a.SourceId + ORDER BY a.Mb_start + """ % (self.species_id, self.chr, self.start_mb, self.end_mb) + else: + query = """ + SELECT + DISTINCT a.Name, a.Chromosome, a.SourceId, a.Mb_start, a.Mb_end, a.Strand, a.Type, a.Size, a.InDelSequence, b.Name + FROM + IndelAll a, SnpSource b + WHERE + a.Chromosome = '%s' AND + a.Mb_start >= %2.6f AND a.Mb_start < (%2.6f+.0010) AND + b.Id = a.SourceId + ORDER BY a.Mb_start + """ % (self.chr, self.start_mb, self.end_mb) + + results_all = g.db.execute(query).fetchall() + + return self.filter_results(results_all) + + def filter_results(self, results): + filtered_results = [] + strain_index_list = [] #ZS: List of positions of selected strains in strain list + last_mb = -1 + + if self.limit_strains == "true" and len(self.chosen_strains) > 0: + for item in self.chosen_strains: + index = self.strain_lists[self.species_name.lower()].index(item) + strain_index_list.append(index) + + for seq, result in enumerate(results): + result = list(result) + + if self.variant_type == "SNP": + display_strains = [] + snp_id, species_id, snp_name, rs, chr, mb, mb_2016, alleles, snp_source, conservation_score = result[:10] + effect_list = result[10:28] + if self.species_id == 1: + self.allele_list = result[30:] + elif self.species_id == 2: + self.allele_list = result[31:] + + if self.limit_strains == "true" and len(self.chosen_strains) > 0: + for index in strain_index_list: + if self.species_id == 1: + display_strains.append(result[29+index]) + elif self.species_id == 2: + display_strains.append(result[31+index]) + self.allele_list = display_strains + + effect_info_dict = get_effect_info(effect_list) + coding_domain_list = ['Start Gained', 'Start Lost', 'Stop Gained', 'Stop Lost', 'Nonsynonymous', 'Synonymous'] + intron_domain_list = ['Splice Site', 'Nonsplice Site'] + + for key in effect_info_dict: + if key in coding_domain_list: + domain = ['Exon', 'Coding'] + elif key in ['3\' UTR', '5\' UTR']: + domain = ['Exon', key] + elif key == "Unknown Effect In Exon": + domain = ['Exon', ''] + elif key in intron_domain_list: + domain = ['Intron', key] + else: + domain = [key, ''] + + if 'Intergenic' in domain: + if self.gene_name != "": + gene_id = get_gene_id(self.species_id, self.gene_name) + gene = [gene_id, self.gene_name] + else: + gene = check_if_in_gene(species_id, chr, mb) + transcript = exon = function = function_details = '' + if self.redundant == "false" or last_mb != mb: # filter redundant + if self.include_record(domain, function, snp_source, conservation_score): + info_list = [snp_name, rs, chr, mb, alleles, gene, transcript, exon, domain, function, function_details, snp_source, conservation_score, snp_id] + info_list.extend(self.allele_list) + filtered_results.append(info_list) + last_mb = mb + else: + gene_list, transcript_list, exon_list, function_list, function_details_list = effect_info_dict[key] + for index, item in enumerate(gene_list): + gene = item + transcript = transcript_list[index] + if exon_list: + exon = exon_list[index] + else: + exon = "" + + if function_list: + function = function_list[index] + if function == "Unknown Effect In Exon": + function = "Unknown" + else: + function = "" + + if function_details_list: + function_details = "Biotype: " + function_details_list[index] + else: + function_details = "" + + if self.redundant == "false" or last_mb != mb: + if self.include_record(domain, function, snp_source, conservation_score): + info_list = [snp_name, rs, chr, mb, alleles, gene, transcript, exon, domain, function, function_details, snp_source, conservation_score, snp_id] + info_list.extend(self.allele_list) + filtered_results.append(info_list) + last_mb = mb + + elif self.variant_type == "InDel": + # The order of variables is important; this applies to anything from the variant table as indel + indel_name, indel_chr, source_id, indel_mb_start, indel_mb_end, indel_strand, indel_type, indel_size, indel_sequence, source_name = result + + indel_type = indel_type.title() + if self.redundant == "false" or last_mb != indel_mb_start: + gene = "No Gene" + domain = conservation_score = snp_id = snp_name = rs = flank_3 = flank_5 = ncbi = function = "" + if self.include_record(domain, function, source_name, conservation_score): + filtered_results.append([indel_name, indel_chr, indel_mb_start, indel_mb_end, indel_strand, indel_type, indel_size, indel_sequence, source_name]) + last_mb = indel_mb_start + + else: + filtered_results.append(result) + + return filtered_results + + def get_table_rows(self): + """ Take results and put them into the order and format necessary for the tables rows """ + + if self.variant_type == "SNP": + gene_name_list = [] + for item in self.filtered_results: + if item[5] and item[5] != "": + gene_name = item[5][1] + # eliminate duplicate gene_name + if gene_name and (gene_name not in gene_name_list): + gene_name_list.append(gene_name) + if len(gene_name_list) > 0: + gene_id_name_dict = get_gene_id_name_dict(self.species_id, gene_name_list) + + #ZS: list of booleans representing which columns are entirely empty, so they aren't displayed on the page; only including ones that are sometimes empty (since there's always a location, etc) + self.empty_columns = { + "snp_source": "false", + "conservation_score": "false", + "gene_name": "false", + "transcript": "false", + "exon": "false", + "domain_2": "false", + "function": "false", + "function_details": "false" + } + + the_rows = [] + for i, result in enumerate(self.filtered_results): + this_row = [] + if self.variant_type == "SNP": + snp_name, rs, chr, mb, alleles, gene, transcript, exon, domain, function, function_details, snp_source, conservation_score, snp_id = result[:14] + allele_value_list = result[14:] + if rs: + snp_url = webqtlConfig.DBSNP % (rs) + snp_name = rs + else: + rs = "" + start_bp = int(mb*1000000 - 100) + end_bp = int(mb*1000000 + 100) + position_info = "chr%s:%d-%d" % (chr, start_bp, end_bp) + if self.species_id == 2: + snp_url = webqtlConfig.GENOMEBROWSER_URL % ("rn6", position_info) + else: + snp_url = webqtlConfig.GENOMEBROWSER_URL % ("mm10", position_info) + + mb = float(mb) + mb_formatted = "%2.6f" % mb + + if snp_source == "Sanger/UCLA": + source_url_1 = "http://www.sanger.ac.uk/resources/mouse/genomes/" + source_url_2 = "http://mouse.cs.ucla.edu/mousehapmap/beta/wellcome.html" + source_urls = [source_url_1, source_url_2] + self.empty_columns['snp_source'] = "true" + else: + source_urls = [] + + if not conservation_score: + conservation_score = "" + else: + self.empty_columns['conservation_score'] = "true" + + if gene: + gene_name = gene[1] + # if gene_name has related gene_id, use gene_id for NCBI search + if (gene_name in gene_id_name_dict) and (gene_id_name_dict[gene_name] != None and gene_id_name_dict[gene_name] != ""): + gene_id = gene_id_name_dict[gene[1]] + gene_link = webqtlConfig.NCBI_LOCUSID % gene_id + else: + gene_link = "http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?CMD=search&DB=gene&term=%s" % gene_name + + self.empty_columns['gene_name'] = "true" + else: + gene_name = "" + gene_link = "" + + if transcript: + transcript_link = webqtlConfig.ENSEMBLETRANSCRIPT_URL % (transcript) + self.empty_columns['transcript'] = "true" + else: + transcript_link = "" + + if exon: + exon = exon[1] # exon[0] is exon_id, exon[1] is exon_rank + self.empty_columns['exon'] = "true" + else: + exon = "" + + if domain: + domain_1 = domain[0] + domain_2 = domain[1] + if domain_1 == "Intergenic" and gene != "": + domain_1 = gene_name + else: + if domain_1 == "Exon": + domain_1 = domain_1 + " " + exon + + if domain_2 != "": + self.empty_columns['domain_2'] = "true" + + if function: + self.empty_columns['function'] = "true" + + function_list = [] + if function_details: + function_list = string.split(string.strip(function_details), ",") + function_list = map(string.strip, function_list) + function_list[0] = function_list[0].title() + function_details = ", ".join(item for item in function_list) + function_details = function_details.replace("_", " ") + function_details = function_details.replace("/", " -> ") + if function_details == "Biotype: Protein Coding": + function_details = function_details + ", Coding Region Unknown" + + self.empty_columns['function_details'] = "true" + + #[snp_href, chr, mb_formatted, alleles, snp_source_cell, conservation_score, gene_name_cell, transcript_href, exon, domain_1, domain_2, function, function_details] + + base_color_dict = {"A": "#C33232", "C": "#1569C7", "T": "#CFCF32", "G": "#32C332", + "t": "#FF6", "c": "#5CB3FF", "a": "#F66", "g": "#CF9", ":": "#FFFFFF", "-": "#FFFFFF", "?": "#FFFFFF"} + + + the_bases = [] + for j, item in enumerate(allele_value_list): + if item and isinstance(item, basestring): + this_base = [str(item), base_color_dict[item]] + else: + this_base = "" + + the_bases.append(this_base) + + this_row = { + "index": i + 1, + "rs": str(rs), + "snp_url": str(snp_url), + "snp_name": str(snp_name), + "chr": str(chr), + "mb_formatted": mb_formatted, + "alleles": str(alleles), + "snp_source": str(snp_source), + "source_urls": source_urls, + "conservation_score": str(conservation_score), + "gene_name": str(gene_name), + "gene_link": str(gene_link), + "transcript": str(transcript), + "transcript_link": str(transcript_link), + "exon": str(exon), + "domain_1": str(domain_1), + "domain_2": str(domain_2), + "function": str(function), + "function_details": str(function_details), + "allele_value_list": the_bases + } + + elif self.variant_type == "InDel": + indel_name, indel_chr, indel_mb_s, indel_mb_e, indel_strand, indel_type, indel_size, indel_sequence, source_name = result + this_row = { + "index": i, + "indel_name": str(indel_name), + "indel_chr": str(indel_chr), + "indel_mb_s": str(indel_mb_s), + "indel_mb_e": str(indel_mb_e), + "indel_strand": str(indel_strand), + "indel_type": str(indel_type), + "indel_size": str(indel_size), + "indel_sequence": str(indel_sequence), + "source_name": str(source_name) + } + #this_row = [indel_name, indel_chr, indel_mb_s, indel_mb_e, indel_strand, indel_type, indel_size, indel_sequence, source_name] + else: + this_row = {} + + the_rows.append(this_row) + + return the_rows + + + def include_record(self, domain, function, snp_source, conservation_score): + """ Decide whether to add this record """ + + domain_satisfied = True + function_satisfied = True + different_alleles_satisfied = True + source_satisfied = True + + if domain: + if len(domain) == 0: + if self.domain != "All": + domain_satisfied = False + else: + domain_satisfied = False + if domain[0].startswith(self.domain) or domain[1].startswith(self.domain) or self.domain == "All": + domain_satisfied = True + else: + if self.domain != "All": + domain_satisfied = False + + if snp_source: + if len(snp_source) == 0: + if self.source != "All": + source_satisfied = False + else: + source_satisfied = False + if snp_source.startswith(self.source) or self.source == "All": + source_satisfied = True + else: + if self.source != "All": + source_satisfied = False + + if function: + if len(function) == 0: + if self.function != "All": + function_satisfied = False + else: + function_satisfied = False + if self.function != "All": + if function.startswith(self.function): + function_satisfied = True + else: + function_satisfied = True + else: + if self.function != "All": + function_satisfied = False + + if conservation_score: + score_as_float = float(conservation_score) + try: + input_score_float = float(self.score) # the user-input score + except: + input_score_float = 0.0 + + if self.criteria == ">=": + if score_as_float >= input_score_float: + score_satisfied = True + else: + score_satisfied = False + elif self.criteria == "==": + if score_as_float == input_score_float: + score_satisfied = True + else: + score_satisfied = False + elif self.criteria == "<=": + if score_as_float <= input_score_float: + score_satisfied = True + else: + score_satisfied = False + else: + try: + if float(self.score) > 0: + score_satisfied = False + else: + score_satisfied = True + except: + score_satisfied = True + + if self.variant_type == "SNP" and self.diff_alleles == "true": + this_allele_list = [] + + for item in self.allele_list: + if item and isinstance(item, basestring) and (item.lower() not in this_allele_list) and (item != "-"): + this_allele_list.append(item.lower()) + + total_allele_count = len(this_allele_list) + if total_allele_count <= 1: + different_alleles_satisfied = False + else: + different_alleles_satisfied = True + else: + different_alleles_satisfied = True + + return domain_satisfied and function_satisfied and source_satisfied and score_satisfied and different_alleles_satisfied + + def snp_density_map(self, query, results): + + canvas_width = 900 + canvas_height = 200 + snp_canvas = pid.PILCanvas(size=(canvas_width, canvas_height)) + left_offset, right_offset, top_offset, bottom_offset = (30, 30, 40, 50) + plot_width = canvas_width - left_offset - right_offset + plot_height = canvas_height - top_offset - bottom_offset + y_zero = top_offset + plot_height/2 + + x_scale = plot_width/(self.end_mb - self.start_mb) + + #draw clickable image map at some point + + n_click = 80.0 + click_step = plot_width/n_click + click_mb_step = (self.end_mb - self.start_mb)/n_click + + #for i in range(n_click): + # href = url_for('snp_browser', first_run="false", chosen_strains_mouse=self.chosen_strains_mouse, chosen_strains_rat=self.chosen_strains_rat, variant=self.variant_type, species=self.species_name, gene_name=self.gene_name, chr=self.chr, start_mb=self.start_mb, end_mb=self.end_mb, limit_strains=self.limit_strains, domain=self.domain, function=self.function, criteria=self.criteria, score=self.score, diff_alleles=self.diff_alleles) + +def get_browser_sample_lists(species_id=1): + strain_lists = {} + mouse_strain_list = [] + query = "SHOW COLUMNS FROM SnpPattern;" + results = g.db.execute(query).fetchall(); + for result in results[1:]: + mouse_strain_list.append(result[0]) + + rat_strain_list = [] + query = "SHOW COLUMNS FROM RatSnpPattern;" + results = g.db.execute(query).fetchall(); + for result in results[2:]: + rat_strain_list.append(result[0]) + + strain_lists['mouse'] = mouse_strain_list + strain_lists['rat'] = rat_strain_list + + return strain_lists + +def get_header_list(variant_type, strains, species = None, empty_columns = None): + if species == "Mouse": + strain_list = strains['mouse'] + elif species == "Rat": + strain_list = strains['rat'] + else: + strain_list = strains + + empty_field_count = 0 #ZS: This is an awkward way of letting the javascript know the index where the allele value columns start; there's probably a better way of doing this + + header_fields = [] + if variant_type == "SNP": + header_fields.append(['Index', 'SNP ID', 'Chr', 'Mb', 'Alleles', 'Source', 'ConScore', 'Gene', 'Transcript', 'Exon', 'Domain 1', 'Domain 2', 'Function', 'Details']) + header_fields.append(strain_list) + + if empty_columns != None: + if empty_columns['snp_source'] == "false": + empty_field_count += 1 + header_fields[0].remove('Source') + if empty_columns['conservation_score'] == "false": + empty_field_count += 1 + header_fields[0].remove('ConScore') + if empty_columns['gene_name'] == "false": + empty_field_count += 1 + header_fields[0].remove('Gene') + if empty_columns['transcript'] == "false": + empty_field_count += 1 + header_fields[0].remove('Transcript') + if empty_columns['exon'] == "false": + empty_field_count += 1 + header_fields[0].remove('Exon') + if empty_columns['domain_2'] == "false": + empty_field_count += 1 + header_fields[0].remove('Domain 2') + if empty_columns['function'] == "false": + empty_field_count += 1 + header_fields[0].remove('Function') + if empty_columns['function_details'] == "false": + empty_field_count += 1 + header_fields[0].remove('Details') + + elif variant_type == "InDel": + header_fields = ['Index', 'ID', 'Type', 'InDel Chr', 'Mb Start', 'Mb End', 'Strand', 'Size', 'Sequence', 'Source'] + + return header_fields, empty_field_count + +def get_effect_details_by_category(effect_name = None, effect_value = None): + gene_list = [] + transcript_list = [] + exon_list = [] + function_list = [] + function_detail_list = [] + tmp_list = [] + + gene_group_list = ['Upstream', 'Downstream', 'Splice Site', 'Nonsplice Site', '3\' UTR'] + biotype_group_list = ['Unknown Effect In Exon', 'Start Gained', 'Start Lost', 'Stop Gained', 'Stop Lost', 'Nonsynonymous', 'Synonymous'] + new_codon_group_list = ['Start Gained'] + codon_effect_group_list = ['Start Lost', 'Stop Gained', 'Stop Lost', 'Nonsynonymous', 'Synonymous'] + + effect_detail_list = string.split(string.strip(effect_value), '|') + effect_detail_list = map(string.strip, effect_detail_list) + + for index, item in enumerate(effect_detail_list): + item_list = string.split(string.strip(item), ',') + item_list = map(string.strip, item_list) + + gene_id = item_list[0] + gene_name = item_list[1] + gene_list.append([gene_id, gene_name]) + transcript_list.append(item_list[2]) + + if effect_name not in gene_group_list: + exon_id = item_list[3] + exon_rank = item_list[4] + exon_list.append([exon_id, exon_rank]) + + if effect_name in biotype_group_list: + biotype = item_list[5] + function_list.append(effect_name) + + if effect_name in new_codon_group_list: + new_codon = item_list[6] + tmp_list = [biotype, new_codon] + function_detail_list.append(string.join(tmp_list, ", ")) + elif effect_name in codon_effect_group_list: + old_new_AA = item_list[6] + old_new_codon = item_list[7] + codon_num = item_list[8] + tmp_list = [biotype, old_new_AA, old_new_codon, codon_num] + function_detail_list.append(string.join(tmp_list, ", ")) + else: + function_detail_list.append(biotype) + + return [gene_list, transcript_list, exon_list, function_list, function_detail_list] + +def get_effect_info(effect_list): + domain = "" + effect_detail_list = [] + effect_info_dict = {} + + prime3_utr, prime5_utr, upstream, downstream, intron, nonsplice_site, splice_site, intergenic = effect_list[:8] + exon, non_synonymous_coding, synonymous_coding, start_gained, start_lost, stop_gained, stop_lost, unknown_effect_in_exon = effect_list[8:16] + + if intergenic: + domain = "Intergenic" + effect_info_dict[domain] = "" + else: + # if not exon, get gene list/transcript list info + if upstream: + domain = "Upstream" + effect_detail_list = get_effect_details_by_category(effect_name='Upstream', effect_value=upstream) + effect_info_dict[domain] = effect_detail_list + if downstream: + domain = "Downstream" + effect_detail_list = get_effect_details_by_category(effect_name='Downstream', effect_value=downstream) + effect_info_dict[domain] = effect_detail_list + if intron: + if splice_site: + domain = "Splice Site" + effect_detail_list = get_effect_details_by_category(effect_name='Splice Site', effect_value=splice_site) + effect_info_dict[domain] = effect_detail_list + if nonsplice_site: + domain = "Nonsplice Site" + effect_detail_list = get_effect_details_by_category(effect_name='Nonsplice Site', effect_value=nonsplice_site) + effect_info_dict[domain] = effect_detail_list + # get gene, transcript_list, and exon info + if prime3_utr: + domain = "3\' UTR" + effect_detail_list = get_effect_details_by_category(effect_name='3\' UTR', effect_value=prime3_utr) + effect_info_dict[domain] = effect_detail_list + if prime5_utr: + domain = "5\' UTR" + effect_detail_list = get_effect_details_by_category(effect_name='5\' UTR', effect_value=prime5_utr) + effect_info_dict[domain] = effect_detail_list + + if start_gained: + domain = "Start Gained" + effect_detail_list = get_effect_details_by_category(effect_name='Start Gained', effect_value=start_gained) + effect_info_dict[domain] = effect_detail_list + if unknown_effect_in_exon: + domain = "Unknown Effect In Exon" + effect_detail_list = get_effect_details_by_category(effect_name='Unknown Effect In Exon', effect_value=unknown_effect_in_exon) + effect_info_dict[domain] = effect_detail_list + if start_lost: + domain = "Start Lost" + effect_detail_list = get_effect_details_by_category(effect_name='Start Lost', effect_value=start_lost) + effect_info_dict[domain] = effect_detail_list + if stop_gained: + domain = "Stop Gained" + effect_detail_list = get_effect_details_by_category(effect_name='Stop Gained', effect_value=stop_gained) + effect_info_dict[domain] = effect_detail_list + if stop_lost: + domain = "Stop Lost" + effect_detail_list = get_effect_details_by_category(effect_name='Stop Lost', effect_value=stop_lost) + effect_info_dict[domain] = effect_detail_list + + if non_synonymous_coding: + domain = "Nonsynonymous" + effect_detail_list = get_effect_details_by_category(effect_name='Nonsynonymous', effect_value=non_synonymous_coding) + effect_info_dict[domain] = effect_detail_list + if synonymous_coding: + domain = "Synonymous" + effect_detail_list = get_effect_details_by_category(effect_name='Synonymous', effect_value=synonymous_coding) + effect_info_dict[domain] = effect_detail_list + + return effect_info_dict + +def get_gene_id(species_id, gene_name): + query = """ + SELECT + geneId + FROM + GeneList + WHERE + SpeciesId = %s AND geneSymbol = '%s' + """ % (species_id, gene_name) + + result = g.db.execute(query).fetchone() + + if len(result) > 0: + return result + else: + return "" + +def get_gene_id_name_dict(species_id, gene_name_list): + gene_id_name_dict = {} + if len(gene_name_list) == 0: + return "" + gene_name_str_list = ["'" + gene_name + "'" for gene_name in gene_name_list] + gene_name_str = string.join(gene_name_str_list, ",") + + query = """ + SELECT + geneId, geneSymbol + FROM + GeneList + WHERE + SpeciesId = %s AND geneSymbol in (%s) + """ % (species_id, gene_name_str) + + results = g.db.execute(query).fetchall() + + if len(results) > 0: + for item in results: + gene_id_name_dict[item[1]] = item[0] + else: + pass + + return gene_id_name_dict + +def check_if_in_gene(species_id, chr, mb): + if species_id != 0: #ZS: Check if this is necessary + query = """SELECT geneId, geneSymbol + FROM GeneList + WHERE SpeciesId = {0} AND chromosome = '{1}' AND + (txStart < {2} AND txEnd > {2}); """.format(species_id, chr, mb) + else: + query = """SELECT geneId,geneSymbol + FROM GeneList + WHERE chromosome = '{0}' AND + (txStart < {1} AND txEnd > {1}); """.format(species_id, chr, mb) + + result = g.db.execute(query).fetchone() + + if result: + return [result[0], result[1]] + else: + return "" + diff --git a/wqflask/wqflask/static/gif/89.gif b/wqflask/wqflask/static/gif/89.gif Binary files differnew file mode 100644 index 00000000..e9b3279d --- /dev/null +++ b/wqflask/wqflask/static/gif/89.gif diff --git a/wqflask/wqflask/static/new/css/main.css b/wqflask/wqflask/static/new/css/main.css index 880395a7..097cd997 100644 --- a/wqflask/wqflask/static/new/css/main.css +++ b/wqflask/wqflask/static/new/css/main.css @@ -1,11 +1,36 @@ -.security_box { - padding-left: 30px; - padding-right: 30px; -} - -ol { - font-family: Arial; - font-weight: bold; - font-size: 16px; - color: #000082 +@media (max-width: 10px) { + .navbar-header { + float: none; + } + .navbar-toggle { + display: block; + } + .navbar-collapse { + border-top: 1px solid transparent; + box-shadow: inset 0 1px 0 rgba(255,255,255,0.1); + } + .navbar-collapse.collapse { + display: none!important; + } + .navbar-nav { + float: none!important; + margin: 7.5px -15px; + } + .navbar-nav>li { + float: none; + } + .navbar-nav>li>a { + padding-top: 10px; + padding-bottom: 10px; + } + .navbar-text { + float: none; + margin: 15px 0; + } + .navbar-collapse.collapse.in { + display: block!important; + } + .collapsing { + overflow: hidden!important; + } }
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/css/marker_regression.css b/wqflask/wqflask/static/new/css/marker_regression.css index d81b5021..f1a26a83 100644 --- a/wqflask/wqflask/static/new/css/marker_regression.css +++ b/wqflask/wqflask/static/new/css/marker_regression.css @@ -35,4 +35,38 @@ rect.pane { /*rect { stroke: WhiteSmoke; fill: Azure; -}*/
\ No newline at end of file +}*/ + +tr .outlier { + background-color: #ffff99; +} + +table.dataTable thead th{ + border-right: 1px solid white; + color: white; + background-color: #369; +} + +table.dataTable thead .sorting_asc { + background-image: url("../packages/DataTables/images/sort_asc_disabled.png"); +} +table.dataTable thead .sorting_desc { + background-image: url("../packages/DataTables/images/sort_desc_disabled.png"); +} + +table.dataTable thead th { + padding: 4px 18px 4px 10px; +} + +table.dataTable tbody td { + padding: 4px 20px 2px 10px; +} + +table.dataTable.cell-border tbody th, table.dataTable.cell-border tbody td { + border-top: 1px solid #ccc; + border-right: 1px solid #ccc; +} +table.dataTable.cell-border tbody tr th:first-child, +table.dataTable.cell-border tbody tr td:first-child { + border-left: 1px solid #ccc; +}
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/css/show_trait.css b/wqflask/wqflask/static/new/css/show_trait.css index 1e9fd4df..09d5e1e3 100644 --- a/wqflask/wqflask/static/new/css/show_trait.css +++ b/wqflask/wqflask/static/new/css/show_trait.css @@ -8,4 +8,38 @@ tr .outlier { div.sample_group { overflow: auto; # needed because it contains float dataTable wrapper +} + +.js-plotly-plot .plotly .modebar { + left: 100px; +} + +table.dataTable thead th, table.dataTable tfoot th{ + border-right: 1px solid white; + color: white; + background-color: #369; +} + +table.dataTable thead .sorting_asc { + background-image: url("../packages/DataTables/images/sort_asc_disabled.png"); +} +table.dataTable thead .sorting_desc { + background-image: url("../packages/DataTables/images/sort_desc_disabled.png"); +} + +table.dataTable thead th, table.dataTable tfoot { + padding: 4px 18px 4px 10px; +} + +table.dataTable tbody td { + padding: 4px 20px 2px 10px; +} + +table.dataTable.cell-border tbody th, table.dataTable.cell-border tbody td { + border-top: 1px solid #ccc; + border-right: 1px solid #ccc; +} +table.dataTable.cell-border tbody tr th:first-child, +table.dataTable.cell-border tbody tr td:first-child { + border-left: 1px solid #ccc; }
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/css/snp_browser.css b/wqflask/wqflask/static/new/css/snp_browser.css new file mode 100644 index 00000000..30fe9a59 --- /dev/null +++ b/wqflask/wqflask/static/new/css/snp_browser.css @@ -0,0 +1,54 @@ +.form_group { + margin-bottom 5px; +} + +table.dataTable thead th { + vertical-align: bottom; +} + +table.dataTable thead .sorting, +table.dataTable thead .sorting_asc, +table.dataTable thead .sorting_desc, +table.dataTable thead .sorting_asc_disabled, +table.dataTable thead .sorting_desc_disabled { + background-repeat: no-repeat; + background-position: bottom right; +} + +table.dataTable thead th{ + border-right: 1px solid white; + color: white; + background-color: royalblue; +} + +table.dataTable tbody td { + padding: 4px 20px 2px 10px; +} + +td.A_allele_color { + background-color: #C33232 +} +td.C_allele_color { + background-color: #1569C7 +} +td.T_allele_color { + background-color: #CFCF32 +} +td.G_allele_color { + background-color: #32C332 +} +td.t_allele_color { + background-color: #FF6 +} +td.c_allele_color { + background-color: #5CB3FF +} +td.a_allele_color { + background-color: #F66 +} +td.g_allele_color { + background-color: #CF9 +} +td.default_allele_color { + background-color: #FFFFFF +}
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/css/typeahead-bootstrap.css b/wqflask/wqflask/static/new/css/typeahead-bootstrap.css new file mode 100644 index 00000000..87dd4b5d --- /dev/null +++ b/wqflask/wqflask/static/new/css/typeahead-bootstrap.css @@ -0,0 +1,94 @@ +span.twitter-typeahead .tt-menu, +span.twitter-typeahead .tt-dropdown-menu { + cursor: pointer; + position: absolute; + top: 100%; + left: 0; + z-index: 1000; + display: none; + float: left; + min-width: 160px; + padding: 5px 0; + margin: 2px 0 0; + list-style: none; + font-size: 14px; + text-align: left; + background-color: #ffffff; + border: 1px solid #cccccc; + border: 1px solid rgba(0, 0, 0, 0.15); + border-radius: 4px; + -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175); + box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175); + background-clip: padding-box; +} +span.twitter-typeahead .tt-suggestion { + display: block; + padding: 3px 20px; + clear: both; + font-weight: normal; + line-height: 1.42857143; + color: #333333; + white-space: nowrap; +} +span.twitter-typeahead .tt-suggestion.tt-cursor, +span.twitter-typeahead .tt-suggestion:hover, +span.twitter-typeahead .tt-suggestion:focus { + color: #ffffff; + text-decoration: none; + outline: 0; + background-color: #337ab7; +} +.input-group.input-group-lg span.twitter-typeahead .form-control { + height: 46px; + padding: 10px 16px; + font-size: 18px; + line-height: 1.3333333; + border-radius: 6px; +} +.input-group.input-group-sm span.twitter-typeahead .form-control { + height: 30px; + padding: 5px 10px; + font-size: 12px; + line-height: 1.5; + border-radius: 3px; +} +span.twitter-typeahead { + width: 100%; +} +.input-group span.twitter-typeahead { + display: block !important; + height: 34px; +} +.input-group span.twitter-typeahead .tt-menu, +.input-group span.twitter-typeahead .tt-dropdown-menu { + top: 32px !important; +} +.input-group span.twitter-typeahead:not(:first-child):not(:last-child) .form-control { + border-radius: 0; +} +.input-group span.twitter-typeahead:first-child .form-control { + border-top-left-radius: 4px; + border-bottom-left-radius: 4px; + border-top-right-radius: 0; + border-bottom-right-radius: 0; +} +.input-group span.twitter-typeahead:last-child .form-control { + border-top-left-radius: 0; + border-bottom-left-radius: 0; + border-top-right-radius: 4px; + border-bottom-right-radius: 4px; +} +.input-group.input-group-sm span.twitter-typeahead { + height: 30px; +} +.input-group.input-group-sm span.twitter-typeahead .tt-menu, +.input-group.input-group-sm span.twitter-typeahead .tt-dropdown-menu { + top: 30px !important; +} +.input-group.input-group-lg span.twitter-typeahead { + height: 46px; +} +.input-group.input-group-lg span.twitter-typeahead .tt-menu, +.input-group.input-group-lg span.twitter-typeahead .tt-dropdown-menu { + top: 46px !important; +}
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/images/CITGLogo.png b/wqflask/wqflask/static/new/images/CITGLogo.png Binary files differnew file mode 100644 index 00000000..ae99fedb --- /dev/null +++ b/wqflask/wqflask/static/new/images/CITGLogo.png diff --git a/wqflask/wqflask/static/new/images/Nif.png b/wqflask/wqflask/static/new/images/Nif.png Binary files differnew file mode 100644 index 00000000..e975a921 --- /dev/null +++ b/wqflask/wqflask/static/new/images/Nif.png diff --git a/wqflask/wqflask/static/new/images/PythonLogo.png b/wqflask/wqflask/static/new/images/PythonLogo.png Binary files differnew file mode 100644 index 00000000..b76dafba --- /dev/null +++ b/wqflask/wqflask/static/new/images/PythonLogo.png diff --git a/wqflask/wqflask/static/new/images/edit.gif b/wqflask/wqflask/static/new/images/edit.gif Binary files differnew file mode 100644 index 00000000..45b314ee --- /dev/null +++ b/wqflask/wqflask/static/new/images/edit.gif diff --git a/wqflask/wqflask/static/new/images/ipad_icon3.png b/wqflask/wqflask/static/new/images/ipad_icon3.png Binary files differnew file mode 100644 index 00000000..97060e97 --- /dev/null +++ b/wqflask/wqflask/static/new/images/ipad_icon3.png diff --git a/wqflask/wqflask/static/new/javascript/bar_chart.coffee b/wqflask/wqflask/static/new/javascript/bar_chart.coffee deleted file mode 100644 index 7558de80..00000000 --- a/wqflask/wqflask/static/new/javascript/bar_chart.coffee +++ /dev/null @@ -1,275 +0,0 @@ -root = exports ? this - -class Bar_Chart - constructor: (sample_lists) -> - @sample_lists = {} - l1 = @sample_lists['samples_primary'] = sample_lists[0] or [] - l2 = @sample_lists['samples_other'] = sample_lists[1] or [] - - l1_names = (x.name for x in l1) - l3 = l1.concat((x for x in l2 when x.name not in l1_names)) - @sample_lists['samples_all'] = l3 - longest_sample_name_len = d3.max(sample.name.length for sample in l3) - @margin = { - top: 20, - right: 20, - bottom: longest_sample_name_len * 6, - left: 40 - } - - @attributes = (key for key of sample_lists[0][0]["extra_attributes"]) - @sample_attr_vals = (@extra(s) for s in @sample_lists['samples_all']\ - when s.value != null) - @get_distinct_attr_vals() - @get_attr_color_dict(@distinct_attr_vals) - @attribute_name = "None" - - @sort_by = "name" - @chart = null - - @select_attribute_box = $ "#color_attribute" - - d3.select("#color_attribute").on("change", => - @attribute_name = @select_attribute_box.val() - @rebuild_bar_graph() - ) - - $(".sort_by_value").on("click", => - console.log("sorting by value") - @sort_by = "value" - @rebuild_bar_graph() - ) - - $(".sort_by_name").on("click", => - console.log("sorting by name") - @sort_by = "name" - @rebuild_bar_graph() - ) - - d3.select("#color_by_trait").on("click", => - @open_trait_selection() - ) - - value: (sample) -> - @value_dict[sample.name].value - - variance: (sample) -> - @value_dict[sample.name].variance - - extra: (sample) -> - attr_vals = {} - for attribute in @attributes - attr_vals[attribute] = sample["extra_attributes"][attribute] - attr_vals - - # takes a dict: name -> value and rebuilds the graph - redraw: (samples_dict, selected_group) -> - @value_dict = samples_dict[selected_group] - @raw_data = (x for x in @sample_lists[selected_group] when\ - x.name of @value_dict and @value(x) != null) - @rebuild_bar_graph() - - rebuild_bar_graph: -> - raw_data = @raw_data.slice() - if @sort_by == 'value' - raw_data = raw_data.sort((x, y) => @value(x) - @value(y)) - console.log("raw_data: ", raw_data) - - h = 600 - container = $("#bar_chart_container") - container.height(h + @margin.top + @margin.bottom) - if @chart is null - @chart = nv.models.multiBarChart() - .height(h) - .errorBarColor(=> 'red') - .reduceXTicks(false) - .staggerLabels(false) - .showControls(false) - .showLegend(false) - - # show value, sd, and attributes in tooltip - @chart.multibar.dispatch.on('elementMouseover.tooltip', - (evt) => - evt.value = @chart.x()(evt.data); - evt['series'] = [{ - key: 'Value', - value: evt.data.y, - color: evt.color - }]; - if evt.data.yErr - evt['series'].push({key: 'SE', value: evt.data.yErr}) - if evt.data.attr - for k, v of evt.data.attr - evt['series'].push({key: k, value: v}) - @chart.tooltip.data(evt).hidden(false); - ) - - @chart.tooltip.valueFormatter((d, i) -> d) - - nv.addGraph(() => - @remove_legend() - values = ({x: s.name, y: @value(s), yErr: @variance(s) or 0,\ - attr: s.extra_attributes}\ - for s in raw_data) - - if @attribute_name != "None" - @color_dict = @attr_color_dict[@attribute_name] - @chart.barColor((d) => @color_dict[d.attr[@attribute_name]]) - @add_legend() - else - @chart.barColor(=> 'steelblue') - - @chart.width(raw_data.length * 20) - @chart.yDomain([0.9 * _.min((d.y - 1.5 * d.yErr for d in values)), - 1.05 * _.max((d.y + 1.5 * d.yErr for d in values))]) - console.log("values: ", values) - d3.select("#bar_chart_container svg") - .datum([{values: values}]) - .style('width', raw_data.length * 20 + 'px') - .transition().duration(1000) - .call(@chart) - - d3.select("#bar_chart_container .nv-x") - .selectAll('.tick text') - .style("font-size", "12px") - .style("text-anchor", "end") - .attr("dx", "-.8em") - .attr("dy", "-.3em") - .attr("transform", (d) => - return "rotate(-90)" - ) - - return @chart - ) - - get_attr_color_dict: (vals) -> - @attr_color_dict = {} - @is_discrete = {} - @minimum_values = {} - @maximum_values = {} - console.log("vals:", vals) - for own key, distinct_vals of vals - @min_val = d3.min(distinct_vals) - @max_val = d3.max(distinct_vals) - this_color_dict = {} - discrete = distinct_vals.length < 10 - if discrete - color = d3.scale.category10() - for value, i in distinct_vals - this_color_dict[value] = color(i) - else - console.log("distinct_values:", distinct_vals) - #Check whether all values are numbers, and if they are get a corresponding - #color gradient - if _.every(distinct_vals, (d) => - if isNaN(d) - return false - else - return true - ) - color_range = d3.scale.linear() - .domain([@min_val, @max_val]) - .range([0,255]) - for value, i in distinct_vals - console.log("color_range(value):", parseInt(color_range(value))) - this_color_dict[value] = d3.rgb(parseInt(color_range(value)),0, 0) - #this_color_dict[value] = d3.rgb("lightblue").darker(color_range(parseInt(value))) - #this_color_dict[value] = "rgb(0, 0, " + color_range(parseInt(value)) + ")" - @attr_color_dict[key] = this_color_dict - @is_discrete[key] = discrete - @minimum_values[key] = @min_val - @maximum_values[key] = @max_val - - get_distinct_attr_vals: () -> - # FIXME: this has quadratic behaviour, may cause issues with many samples and continuous attributes - @distinct_attr_vals = {} - for sample in @sample_attr_vals - for attribute of sample - if not @distinct_attr_vals[attribute] - @distinct_attr_vals[attribute] = [] - if sample[attribute] not in @distinct_attr_vals[attribute] - @distinct_attr_vals[attribute].push(sample[attribute]) - #console.log("distinct_attr_vals:", @distinct_attr_vals) - - add_legend: => - if @is_discrete[@attribute_name] - @add_legend_discrete() - else - @add_legend_continuous() - - remove_legend: => - $(".legend").remove() - $("#legend-left,#legend-right,#legend-colors").empty() - - add_legend_continuous: => - $('#legend-left').html(@minimum_values[@attribute_name]) - $('#legend-right').html(@maximum_values[@attribute_name]) - svg_html = '<svg height="15" width="120"> \ - <rect x="0" width="20" height="15" style="fill: rgb(0, 0, 0);"></rect> \ - <rect x="20" width="20" height="15" style="fill: rgb(50, 0, 0);"></rect> \ - <rect x="40" width="20" height="15" style="fill: rgb(100, 0, 0);"></rect> \ - <rect x="60" width="20" height="15" style="fill: rgb(150, 0, 0);"></rect> \ - <rect x="80" width="20" height="15" style="fill: rgb(200, 0, 0);"></rect> \ - <rect x="100" width="20" height="15" style="fill: rgb(255, 0, 0);"></rect> \ - </svg>' - console.log("svg_html:", svg_html) - $('#legend-colors').html(svg_html) - - add_legend_discrete: => - legend_span = d3.select('#bar_chart_legend') - .append('div').style('word-wrap', 'break-word') - .attr('class', 'legend').selectAll('span') - .data(@distinct_attr_vals[@attribute_name]) - .enter().append('span').style({'word-wrap': 'normal', 'display': 'inline-block'}) - - legend_span.append('span') - .style("background-color", (d) => - return @attr_color_dict[@attribute_name][d] - ) - .style({'display': 'inline-block', 'width': '15px', 'height': '15px',\ - 'margin': '0px 5px 0px 15px'}) - legend_span.append('span').text((d) => return d).style('font-size', '20px') - - open_trait_selection: () -> - $('#collections_holder').load('/collections/list?color_by_trait #collections_list', => - $.colorbox( - inline: true - href: "#collections_holder" - ) - #Removes the links from the collection names, because clicking them would leave the page - #instead of loading the list of traits in the colorbox - $('a.collection_name').attr( 'onClick', 'return false' ) - #$('.collection_name').each (index, element) => - # console.log("contents:", $(element).contents()) - # $(element).contents().unwrap() - ) - - color_by_trait: (trait_sample_data) -> - console.log("BXD1:", trait_sample_data["BXD1"]) - console.log("trait_sample_data:", trait_sample_data) - trimmed_samples = @trim_values(trait_sample_data) - distinct_values = {} - distinct_values["collection_trait"] = @get_distinct_values(trimmed_samples) - #@get_attr_color_dict(distinct_values) - @get_trait_color_dict(trimmed_samples, distinct_values) - console.log("TRAIT_COLOR_DICT:", @trait_color_dict) - console.log("SAMPLES:", @samples) - # TODO - - trim_values: (trait_sample_data) -> - trimmed_samples = {} - for sample in @sample_names - if sample of trait_sample_data - trimmed_samples[sample] = trait_sample_data[sample] - console.log("trimmed_samples:", trimmed_samples) - return trimmed_samples - - get_distinct_values: (samples) -> - distinct_values = _.uniq(_.values(samples)) - console.log("distinct_values:", distinct_values) - return distinct_values - #distinct_values = [] - #for sample in samples - # if samples[sample] in distinct_values - -root.Bar_Chart = Bar_Chart diff --git a/wqflask/wqflask/static/new/javascript/box_plot.coffee b/wqflask/wqflask/static/new/javascript/box_plot.coffee deleted file mode 100644 index edd5e968..00000000 --- a/wqflask/wqflask/static/new/javascript/box_plot.coffee +++ /dev/null @@ -1,57 +0,0 @@ -root = exports ? this
-
-class Box_Plot
- constructor: (@sample_list, @sample_group) ->
- @get_samples()
-
- @margin = {top: 10, right: 50, bottom: 20, left: 50}
- @plot_width = 200 - @margin.left - @margin.right
- @plot_height = 500 - @margin.top - @margin.bottom
-
- @min = d3.min(@sample_vals)
- @max = d3.max(@sample_vals)
-
- @svg = @create_svg()
- @enter_data()
-
-
- get_samples: () ->
- @sample_vals = (sample.value for sample in @sample_list when sample.value != null)
-
- create_svg: () ->
- svg = d3.box()
- .whiskers(@inter_quartile_range(1.5))
- .width(@plot_width - 30)
- .height(@plot_height - 30)
- .domain([@min, @max])
- return svg
-
- enter_data: () ->
- d3.select("#box_plot").selectAll("svg")
- .data([@sample_vals])
- .enter().append("svg:svg")
- .attr("class", "box")
- .attr("width", @plot_width)
- .attr("height", @plot_height)
- .append("svg:g")
- .call(@svg)
-
- inter_quartile_range: (k) ->
- return (d, i) =>
- console.log("iqr d:", d)
- q1 = d.quartiles[0]
- q3 = d.quartiles[2]
- inter_quartile_range = (q3 - q1) * k
- console.log("iqr:", inter_quartile_range)
- i = 0
- j = d.length
- console.log("d[-1]:", d[1])
- console.log("q1 - iqr:", q1 - inter_quartile_range)
- i++ while (d[i] < q1 - inter_quartile_range)
- j-- while (d[j] > q3 + inter_quartile_range)
- #while (d[++i] < q1 - inter_quartile_range
- #while d[--j] > q3 + inter_quartile_range
- console.log("[i, j]", [i, j])
- return [i, j]
-
-root.Box_Plot = Box_Plot
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/chr_lod_chart.coffee b/wqflask/wqflask/static/new/javascript/chr_lod_chart.coffee deleted file mode 100644 index e00694be..00000000 --- a/wqflask/wqflask/static/new/javascript/chr_lod_chart.coffee +++ /dev/null @@ -1,286 +0,0 @@ -class Chr_Lod_Chart
-
- constructor: (@plot_height, @plot_width, @chr, manhattanPlot) ->
- @manhattanPlot = manhattanPlot
- @qtl_results = js_data.qtl_results
- console.log("qtl_results are:", @qtl_results)
- console.log("chr is:", @chr)
-
- @get_max_chr()
-
- @filter_qtl_results()
- console.log("filtered results:", @these_results)
- @get_qtl_count()
-
- @x_coords = []
- @y_coords = []
- @marker_names = []
-
- console.time('Create coordinates')
- @create_coordinates()
- console.log("@x_coords: ", @x_coords)
- console.log("@y_coords: ", @y_coords)
- console.timeEnd('Create coordinates')
-
- # Buffer to allow for the ticks/labels to be drawn
- @x_buffer = @plot_width/30
- @y_buffer = @plot_height/20
-
- @x_max = d3.max(@x_coords)
- @y_max = d3.max(@y_coords) * 1.2
-
- @y_threshold = @get_lod_threshold()
-
- @svg = @create_svg()
-
- @plot_coordinates = _.zip(@x_coords, @y_coords, @marker_names)
- console.log("coordinates:", @plot_coordinates)
-
- @plot_height -= @y_buffer
-
- @create_scales()
-
- console.time('Create graph')
- @create_graph()
- console.timeEnd('Create graph')
-
- get_max_chr: () ->
- @max_chr = 0
- for key of js_data.chromosomes
- console.log("key is:", key)
- if parseInt(key) > @max_chr
- @max_chr = parseInt(key)
-
- filter_qtl_results: () ->
- @these_results = []
- this_chr = 100
- for result in @qtl_results
- if result.chr == "X"
- this_chr = @max_chr
- else
- this_chr = result.chr
- console.log("this_chr is:", this_chr)
- console.log("@chr[0] is:", parseInt(@chr[0]))
- if this_chr > parseInt(@chr[0])
- break
- if parseInt(this_chr) == parseInt(@chr[0])
- @these_results.push(result)
-
- get_qtl_count: () ->
- high_qtl_count = 0
- for result in @these_results
- if result.lod_score > 1
- high_qtl_count += 1
- console.log("high_qtl_count:", high_qtl_count)
-
- #if high_qtl_count > 10000
- @y_axis_filter = 2
- #else if high_qtl_count > 1000
- # @y_axis_filter = 1
- #else
- # @y_axis_filter = 0
-
- create_coordinates: () ->
- for result in @these_results
- @x_coords.push(parseFloat(result.Mb))
- @y_coords.push(result.lod_score)
- @marker_names.push(result.name)
-
- create_svg: () ->
- svg = d3.select("#topchart")
- .append("svg")
- .attr("class", "chr_manhattan_plot")
- .attr("width", @plot_width+@x_buffer)
- .attr("height", @plot_height+@y_buffer)
- .append("g")
- return svg
-
- create_scales: () ->
- @x_scale = d3.scale.linear()
- .domain([0, @chr[1]])
- .range([@x_buffer, @plot_width])
- @y_scale = d3.scale.linear()
- .domain([0, @y_max])
- .range([@plot_height, @y_buffer])
-
- get_lod_threshold: () ->
- if @y_max/2 > 2
- return @y_max/2
- else
- return 2
-
- create_graph: () ->
- @add_border()
- @add_x_axis()
- @add_y_axis()
- @add_title()
- @add_back_button()
- if @manhattanPlot
- @add_plot_points()
- else
- @add_path()
-
- add_border: () ->
- border_coords = [[@y_buffer, @plot_height, @x_buffer, @x_buffer],
- [@y_buffer, @plot_height, @plot_width, @plot_width],
- [@y_buffer, @y_buffer, @x_buffer, @plot_width],
- [@plot_height, @plot_height, @x_buffer, @plot_width]]
-
- @svg.selectAll("line")
- .data(border_coords)
- .enter()
- .append("line")
- .attr("y1", (d) =>
- return d[0]
- )
- .attr("y2", (d) =>
- return d[1]
- )
- .attr("x1", (d) =>
- return d[2]
- )
- .attr("x2", (d) =>
- return d[3]
- )
- .style("stroke", "#000")
-
- add_x_axis: () ->
- @xAxis = d3.svg.axis()
- .scale(@x_scale)
- .orient("bottom")
- .ticks(20)
-
- @xAxis.tickFormat((d) =>
- d3.format("d") #format as integer
- return (d)
- )
-
- @svg.append("g")
- .attr("class", "x_axis")
- .attr("transform", "translate(0," + @plot_height + ")")
- .call(@xAxis)
- .selectAll("text")
- .attr("text-anchor", "right")
- .attr("font-size", "12px")
- .attr("dx", "-1.6em")
- .attr("transform", (d) =>
- return "translate(-12,0) rotate(-90)"
- )
-
- add_y_axis: () ->
- @yAxis = d3.svg.axis()
- .scale(@y_scale)
- .orient("left")
- .ticks(5)
-
- @svg.append("g")
- .attr("class", "y_axis")
- .attr("transform", "translate(" + @x_buffer + ",0)")
- .call(@yAxis)
-
- add_title: () ->
- @svg.append("text")
- .attr("class", "title")
- .text("Chr " + @chr[0])
- .attr("x", (d) =>
- return (@plot_width + @x_buffer)/2
- )
- .attr("y", @y_buffer + 20)
- .attr("dx", "0em")
- .attr("text-anchor", "middle")
- .attr("font-family", "sans-serif")
- .attr("font-size", "18px")
- .attr("fill", "black")
-
- add_back_button: () ->
- $("#return_to_full_view").show().click => @return_to_full_view()
-
- add_path: () ->
- line_function = d3.svg.line()
- .x( (d) => return @x_scale(d[0]))
- .y( (d) => return @y_scale(d[1]))
- .interpolate("linear")
-
- line_graph = @svg.append("path")
- .attr("d", line_function(@plot_coordinates))
- .attr("stroke", "blue")
- .attr("stroke-width", 1)
- .attr("fill", "none")
-
- add_plot_points: () ->
- @plot_point = @svg.selectAll("circle")
- .data(@plot_coordinates)
- .enter()
- .append("circle")
- .attr("cx", (d) =>
- return @x_scale(d[0])
- )
- .attr("cy", (d) =>
- return @y_scale(d[1])
- )
- .attr("r", (d) =>
- #if d[1] > 2
- # return 3
- #else
- return 2
- )
- .attr("fill", (d) =>
- #if d[1] > 2
- # return "white"
- #else
- return "black"
- )
- .attr("stroke", "black")
- .attr("stroke-width", "1")
- .attr("id", (d) =>
- return "point_" + String(d[2])
- )
- .classed("circle", true)
- .on("mouseover", (d) =>
- console.log("d3.event is:", d3.event)
- console.log("d is:", d)
- this_id = "point_" + String(d[2])
- d3.select("#" + this_id).classed("d3_highlight", true)
- .attr("r", 5)
- .attr("stroke", "none")
- .attr("fill", "blue")
- .call(@show_marker_in_table(d))
- )
- .on("mouseout", (d) =>
- this_id = "point_" + String(d[2])
- d3.select("#" + this_id).classed("d3_highlight", false)
- .attr("r", (d) =>
- #if d[1] > 2
- # return 3
- #else
- return 2
- )
- .attr("fill", (d) =>
- #if d[1] > 2
- # return "white"
- #else
- return "black"
- )
- .attr("stroke", "black")
- .attr("stroke-width", "1")
- )
- .append("svg:title")
- .text((d) =>
- return d[2]
- )
-
- return_to_full_view: () ->
- $("#return_to_full_view").hide()
- $('#topchart').remove()
- $('#chart_container').append('<div class="qtlcharts" id="topchart"></div>')
- create_lod_chart()
-
- show_marker_in_table: (marker_info) ->
- console.log("in show_marker_in_table")
- ### Searches for the select marker in the results table below ###
- if marker_info
- marker_name = marker_info[2]
- $("#qtl_results_filter").find("input:first").val(marker_name).change()
- #else
- # marker_name = ""
- #$("#qtl_results_filter").find("input:first").val(marker_name).change()
diff --git a/wqflask/wqflask/static/new/javascript/chr_manhattan_plot.coffee b/wqflask/wqflask/static/new/javascript/chr_manhattan_plot.coffee deleted file mode 100644 index b1d2305e..00000000 --- a/wqflask/wqflask/static/new/javascript/chr_manhattan_plot.coffee +++ /dev/null @@ -1,295 +0,0 @@ -class Chr_Manhattan_Plot
-
- constructor: (@plot_height, @plot_width, @chr, manhattanPlot) ->
- @qtl_results = js_data.qtl_results
- console.log("qtl_results are:", @qtl_results)
- console.log("chr is:", @chr)
-
- @get_max_chr()
-
- @filter_qtl_results()
- console.log("filtered results:", @these_results)
- @get_qtl_count()
-
- @x_coords = []
- @y_coords = []
- @marker_names = []
-
- console.time('Create coordinates')
- @create_coordinates()
- console.log("@x_coords: ", @x_coords)
- console.log("@y_coords: ", @y_coords)
- console.timeEnd('Create coordinates')
-
- # Buffer to allow for the ticks/labels to be drawn
- @x_buffer = @plot_width/30
- @y_buffer = @plot_height/20
-
- @x_max = d3.max(@x_coords)
- @y_max = d3.max(@y_coords) * 1.2
-
- @y_threshold = @get_lod_threshold()
-
- @svg = @create_svg()
-
- @plot_coordinates = _.zip(@x_coords, @y_coords, @marker_names)
- console.log("coordinates:", @plot_coordinates)
-
- @plot_height -= @y_buffer
-
- @create_scales()
-
- console.time('Create graph')
- @create_graph()
- console.timeEnd('Create graph')
-
- get_max_chr: () ->
- @max_chr = 0
- for key of js_data.chromosomes
- console.log("key is:", key)
- if parseInt(key) > @max_chr
- @max_chr = parseInt(key)
-
- filter_qtl_results: () ->
- @these_results = []
- this_chr = 100
- for result in @qtl_results
- if result.chr == "X"
- this_chr = @max_chr
- else
- this_chr = result.chr
- console.log("this_chr is:", this_chr)
- console.log("@chr[0] is:", parseInt(@chr[0]))
- if this_chr > parseInt(@chr[0])
- break
- if parseInt(this_chr) == parseInt(@chr[0])
- @these_results.push(result)
-
- get_qtl_count: () ->
- high_qtl_count = 0
- for result in @these_results
- if result.lod_score > 1
- high_qtl_count += 1
- console.log("high_qtl_count:", high_qtl_count)
-
- #if high_qtl_count > 10000
- @y_axis_filter = 2
- #else if high_qtl_count > 1000
- # @y_axis_filter = 1
- #else
- # @y_axis_filter = 0
-
- create_coordinates: () ->
- for result in @these_results
- @x_coords.push(parseFloat(result.Mb))
- @y_coords.push(result.lod_score)
- @marker_names.push(result.name)
-
- create_svg: () ->
- svg = d3.select("#topchart")
- .append("svg")
- .attr("class", "chr_manhattan_plot")
- .attr("width", @plot_width+@x_buffer)
- .attr("height", @plot_height+@y_buffer)
- .append("g")
- return svg
-
- create_scales: () ->
- @x_scale = d3.scale.linear()
- .domain([0, @chr[1]])
- .range([@x_buffer, @plot_width])
- @y_scale = d3.scale.linear()
- .domain([0, @y_max])
- .range([@plot_height, @y_buffer])
-
- get_lod_threshold: () ->
- if @y_max/2 > 2
- return @y_max/2
- else
- return 2
-
- create_graph: () ->
- @add_border()
- @add_x_axis()
- @add_y_axis()
- @add_title()
- @add_back_button()
- if manhattanPlot
- @add_plot_points()
- else
- @add_path()
-
- add_border: () ->
- border_coords = [[@y_buffer, @plot_height, @x_buffer, @x_buffer],
- [@y_buffer, @plot_height, @plot_width, @plot_width],
- [@y_buffer, @y_buffer, @x_buffer, @plot_width],
- [@plot_height, @plot_height, @x_buffer, @plot_width]]
-
- @svg.selectAll("line")
- .data(border_coords)
- .enter()
- .append("line")
- .attr("y1", (d) =>
- return d[0]
- )
- .attr("y2", (d) =>
- return d[1]
- )
- .attr("x1", (d) =>
- return d[2]
- )
- .attr("x2", (d) =>
- return d[3]
- )
- .style("stroke", "#000")
-
- add_x_axis: () ->
- @xAxis = d3.svg.axis()
- .scale(@x_scale)
- .orient("bottom")
- .ticks(20)
-
- @xAxis.tickFormat((d) =>
- d3.format("d") #format as integer
- return (d)
- )
-
- @svg.append("g")
- .attr("class", "x_axis")
- .attr("transform", "translate(0," + @plot_height + ")")
- .call(@xAxis)
- .selectAll("text")
- .attr("text-anchor", "right")
- .attr("font-size", "12px")
- .attr("dx", "-1.6em")
- .attr("transform", (d) =>
- return "translate(-12,0) rotate(-90)"
- )
-
- add_y_axis: () ->
- @yAxis = d3.svg.axis()
- .scale(@y_scale)
- .orient("left")
- .ticks(5)
-
- @svg.append("g")
- .attr("class", "y_axis")
- .attr("transform", "translate(" + @x_buffer + ",0)")
- .call(@yAxis)
-
- add_title: () ->
- @svg.append("text")
- .attr("class", "title")
- .text("Chr " + @chr[0])
- .attr("x", (d) =>
- return (@plot_width + @x_buffer)/2
- )
- .attr("y", @y_buffer + 20)
- .attr("dx", "0em")
- .attr("text-anchor", "middle")
- .attr("font-family", "sans-serif")
- .attr("font-size", "18px")
- .attr("fill", "black")
-
- add_back_button: () ->
- @svg.append("text")
- .attr("class", "back")
- .text("Return to full view")
- .attr("x", @x_buffer*2)
- .attr("y", @y_buffer/2)
- .attr("dx", "0em")
- .attr("text-anchor", "middle")
- .attr("font-family", "sans-serif")
- .attr("font-size", "18px")
- .attr("cursor", "pointer")
- .attr("fill", "black")
- .on("click", @return_to_full_view)
-
- add_path: () ->
- line_function = d3.svg.line()
- .x( (d) => return @x_scale(d[0]))
- .y( (d) => return @y_scale(d[1]))
- .interpolate("linear")
-
- line_graph = @svg.append("path")
- .attr("d", line_function(@plot_coordinates))
- .attr("stroke", "blue")
- .attr("stroke-width", 1)
- .attr("fill", "none")
-
- add_plot_points: () ->
- @plot_point = @svg.selectAll("circle")
- .data(@plot_coordinates)
- .enter()
- .append("circle")
- .attr("cx", (d) =>
- return @x_scale(d[0])
- )
- .attr("cy", (d) =>
- return @y_scale(d[1])
- )
- .attr("r", (d) =>
- #if d[1] > 2
- # return 3
- #else
- return 2
- )
- .attr("fill", (d) =>
- #if d[1] > 2
- # return "white"
- #else
- return "black"
- )
- .attr("stroke", "black")
- .attr("stroke-width", "1")
- .attr("id", (d) =>
- return "point_" + String(d[2])
- )
- .classed("circle", true)
- .on("mouseover", (d) =>
- console.log("d3.event is:", d3.event)
- console.log("d is:", d)
- this_id = "point_" + String(d[2])
- d3.select("#" + this_id).classed("d3_highlight", true)
- .attr("r", 5)
- .attr("stroke", "none")
- .attr("fill", "blue")
- .call(@show_marker_in_table(d))
- )
- .on("mouseout", (d) =>
- this_id = "point_" + String(d[2])
- d3.select("#" + this_id).classed("d3_highlight", false)
- .attr("r", (d) =>
- #if d[1] > 2
- # return 3
- #else
- return 2
- )
- .attr("fill", (d) =>
- #if d[1] > 2
- # return "white"
- #else
- return "black"
- )
- .attr("stroke", "black")
- .attr("stroke-width", "1")
- )
- .append("svg:title")
- .text((d) =>
- return d[2]
- )
-
- return_to_full_view: () ->
- $('#topchart').remove()
- $('#chart_container').append('<div class="qtlcharts" id="topchart"></div>')
- create_manhattan_plot()
-
- show_marker_in_table: (marker_info) ->
- console.log("in show_marker_in_table")
- ### Searches for the select marker in the results table below ###
- if marker_info
- marker_name = marker_info[2]
- $("#qtl_results_filter").find("input:first").val(marker_name).change()
- #else
- # marker_name = ""
- #$("#qtl_results_filter").find("input:first").val(marker_name).change()
diff --git a/wqflask/wqflask/static/new/javascript/compare_traits_scatterplot.coffee b/wqflask/wqflask/static/new/javascript/compare_traits_scatterplot.coffee deleted file mode 100644 index 64400c7d..00000000 --- a/wqflask/wqflask/static/new/javascript/compare_traits_scatterplot.coffee +++ /dev/null @@ -1,145 +0,0 @@ -root = exports ? this
-
-root.create_scatterplot = (json_ids, json_data) ->
-
- console.log("TESTING2")
-
- h = 400
- w = 500
- margin = {left:60, top:40, right:40, bottom: 40, inner:5}
- halfh = (h+margin.top+margin.bottom)
- totalh = halfh*2
- halfw = (w+margin.left+margin.right)
- totalw = halfw*2
-
- # Example 1: simplest use
- #d3.json "data.json", (data) ->
- mychart = scatterplot().xvar(0)
- .yvar(1)
- .xlab("X")
- .ylab("Y")
- .height(h)
- .width(w)
- .margin(margin)
-
- data = json_data
- indID = json_ids
- #slope = js_data.slope
- #intercept = js_data.intercept
-
- d3.select("div#comparison_scatterplot")
- .datum({data:data, indID:indID})
- .call(mychart)
-
- # animate points
- mychart.pointsSelect()
- .on "mouseover", (d) ->
- d3.select(this).attr("r", mychart.pointsize()*3)
- .on "mouseout", (d) ->
- d3.select(this).attr("r", mychart.pointsize())
-
-root.create_scatterplots = (trait_names, json_ids, json_data) ->
-
- #There are various places where 1 is subtracted from the number of traits; this is because
- #we don't want to show a first graph consisting of the trait vs itself. There might be a better
- #way to deal with this.
-
- console.log("json_data:", json_data)
- console.log("trait_names:", trait_names)
-
- num_traits = json_data.length
- console.log("num_traits:", num_traits)
-
- h = 300
- w = 400
- margin = {left:60, top:40, right:40, bottom: 40, inner:5}
- halfh = (h+margin.top+margin.bottom)
- totalh = halfh*(num_traits-1)
- #totalh = halfh*2
- halfw = (w+margin.left+margin.right)
- #totalw = halfw*2
- totalw = halfw
-
- xvar = []
- yvar = []
- xshift = []
- yshift = []
- for i in [0..num_traits-1]
- xvar.push(i)
- yvar.push(0)
- xshift.push(0)
- yshift.push(halfh*i)
-
- console.log("xvar:", xvar)
- console.log("yvar:", yvar)
-
- # Example 2: three scatterplots within one SVG, with brushing
- #d3.json "data.json", (data) ->
- #xvar = [1, 2, 2]
- #yvar = [0, 0, 1]
- #console.log("num_traits_array:", xvar)
- #xshift = [0, halfw, halfw]
- #yshift = [0, 0, halfh]
- #xshift = [0, 0]
- #yshift = [0, halfh]
-
- svg = d3.select("div#comparison_scatterplot")
- .append("svg")
- .attr("height", totalh)
- .attr("width", totalw)
-
- mychart = []
- chart = []
- for i in [1..num_traits-1]
- mychart[i-1] = scatterplot().xvar(xvar[i])
- .yvar(yvar[i])
- .nxticks(6)
- .height(h)
- .width(w)
- .margin(margin)
- .pointsize(4)
- .xlab("#{trait_names[i-1]}")
- .ylab("#{trait_names[0]}")
- .title("#{trait_names[0]} vs. #{trait_names[i-1]}")
-
- data = json_data
- indID = json_ids
-
- chart[i-1] = svg.append("g").attr("id", "chart#{i-1}")
- .attr("transform", "translate(#{xshift[i]},#{yshift[i-1]})")
- chart[i-1].datum({data:data, indID:indID}).call(mychart[i-1])
-
- brush = []
- brushstart = (i) ->
- () ->
- for j in [0..num_traits-2]
- chart[j].call(brush[j].clear()) if j != i
- svg.selectAll("circle").attr("opacity", 0.6).classed("selected", false)
-
- brushmove = (i) ->
- () ->
- svg.selectAll("circle").classed("selected", false)
- e = brush[i].extent()
- chart[i].selectAll("circle")
- .classed("selected", (d,j) ->
- circ = d3.select(this)
- cx = circ.attr("cx")
- cy = circ.attr("cy")
- selected = e[0][0] <= cx and cx <= e[1][0] and
- e[0][1] <= cy and cy <= e[1][1]
- svg.selectAll("circle.pt#{j}").classed("selected", true) if selected
- selected)
-
- brushend = () ->
- svg.selectAll("circle").attr("opacity", 1)
-
- xscale = d3.scale.linear().domain([margin.left,margin.left+w]).range([margin.left,margin.left+w])
- yscale = d3.scale.linear().domain([margin.top,margin.top+h]).range([margin.top,margin.top+h])
-
- for i in [0..num_traits-2]
- brush[i] = d3.svg.brush().x(xscale).y(yscale)
- .on("brushstart", brushstart(i))
- .on("brush", brushmove(i))
- .on("brushend", brushend)
-
- chart[i].call(brush[i])
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/corr_matrix.coffee b/wqflask/wqflask/static/new/javascript/corr_matrix.coffee deleted file mode 100644 index 4ecee1d4..00000000 --- a/wqflask/wqflask/static/new/javascript/corr_matrix.coffee +++ /dev/null @@ -1,275 +0,0 @@ -# iplotCorr.coffee
-#
-# Left panel is a heat map of a correlation matrix; hover over pixels
-# to see the values; click to see the corresponding scatterplot on the right
-
-root = exports ? this
-
-iplotCorr = (data, chartOpts) ->
-
- # data is an object with 7 components
- # data.indID vector of character strings, of length n, with IDs for individuals
- # data.var vector of character strings, of length p, with variable names
- # data.corr matrix of correlation values, of dim q x r, with q and r each <= p
- # data.rows vector of indicators, of length q, with values in {0, 1, ..., p-1},
- # for each row in data.corr, it says which is the corresponding column in data.dat
- # data.cols vector of indicators, of length r, with values in {0, 1, ..., p-1}
- # for each column in data.corr, it says which is the corresponding column in data.dat
- # data.dat numeric matrix, of dim n x p, with data to be plotted in scatterplots
- # rows correspond to data.indID and columns to data.var
- # data.group numeric vector, of length n, with values in {1, ..., k},
- # used as categories for coloring points in the scatterplot
-
- # chartOpts start
- height = chartOpts?.height ? 450 # height of each panel in pixels
- width = chartOpts?.width ? height # width of each panel in pixels
- margin = chartOpts?.margin ? {left:70, top:40, right:5, bottom: 70, inner:5} # margins in pixels (left, top, right, bottom, inner)
- corcolors = chartOpts?.corcolors ? ["darkslateblue", "white", "crimson"] # heat map colors (same length as `zlim`)
- zlim = chartOpts?.zlim ? [-1, 0, 1] # z-axis limits
- rectcolor = chartOpts?.rectcolor ? d3.rgb(230, 230, 230) # color of background rectangle
- cortitle = chartOpts?.cortitle ? "" # title for heatmap panel
- scattitle = chartOpts?.scattitle ? "" # title for scatterplot panel
- scatcolors = chartOpts?.scatcolors ? null # vector of point colors for scatterplot
- # chartOpts end
- chartdivid = chartOpts?.chartdivid ? 'chart'
-
- totalh = height + margin.top + margin.bottom
- totalw = (width + margin.left + margin.right)*2
-
- svg = d3.select("div##{chartdivid}")
- .append("svg")
- .attr("height", totalh)
- .attr("width", totalw)
-
- # panel for correlation image
- corrplot = svg.append("g")
- .attr("id", "corplot")
- .attr("transform", "translate(#{margin.left},#{margin.top})")
-
- # panel for scatterplot
- scatterplot = svg.append("g")
- .attr("id", "scatterplot")
- .attr("transform", "translate(#{margin.left*2+margin.right+width},#{margin.top})")
-
- # no. data points
- nind = data.indID.length
- nvar = data.var.length
- ncorrX = data.cols.length
- ncorrY = data.rows.length
-
- corXscale = d3.scale.ordinal().domain(d3.range(ncorrX)).rangeBands([0, width])
- corYscale = d3.scale.ordinal().domain(d3.range(ncorrY)).rangeBands([height, 0])
- corZscale = d3.scale.linear().domain(zlim).range(corcolors)
- pixel_width = corXscale(1)-corXscale(0)
- pixel_height = corYscale(0)-corYscale(1)
-
- # create list with correlations
- corr = []
- for i of data.corr
- for j of data.corr[i]
- corr.push({row:i, col:j, value:data.corr[i][j]})
-
-
- # gray background on scatterplot
- scatterplot.append("rect")
- .attr("height", height)
- .attr("width", width)
- .attr("fill", rectcolor)
- .attr("stroke", "black")
- .attr("stroke-width", 1)
- .attr("pointer-events", "none")
-
- corr_tip = d3.tip()
- .attr('class', 'd3-tip')
- .html((d) -> d3.format(".2f")(d.value))
- .direction('e')
- .offset([0,10])
- corrplot.call(corr_tip)
-
-
- cells = corrplot.selectAll("empty")
- .data(corr)
- .enter().append("rect")
- .attr("class", "cell")
- .attr("x", (d) -> corXscale(d.col))
- .attr("y", (d) -> corYscale(d.row))
- .attr("width", corXscale.rangeBand())
- .attr("height", corYscale.rangeBand())
- .attr("fill", (d) -> corZscale(d.value))
- .attr("stroke", "none")
- .attr("stroke-width", 2)
- .on("mouseover", (d) ->
- d3.select(this).attr("stroke", "black")
- corr_tip.show(d)
- corrplot.append("text").attr("class","corrlabel")
- .attr("x", corXscale(d.col)+pixel_width/2)
- .attr("y", height+margin.bottom*0.2)
- .text(data.var[data.cols[d.col]])
- .attr("dominant-baseline", "middle")
- .attr("text-anchor", "middle")
- corrplot.append("text").attr("class","corrlabel")
- .attr("y", corYscale(d.row)+pixel_height/2)
- .attr("x", -margin.left*0.1)
- .text(data.var[data.rows[d.row]])
- .attr("dominant-baseline", "middle")
- .attr("text-anchor", "end"))
- .on("mouseout", (d) ->
- corr_tip.hide(d)
- d3.selectAll("text.corrlabel").remove()
- d3.select(this).attr("stroke","none"))
- .on("click",(d) -> drawScatter(d.col, d.row))
-
- # colors for scatterplot
- nGroup = d3.max(data.group)
- if !(scatcolors?) or scatcolors.length < nGroup
- if nGroup == 1
- scatcolors = [ d3.rgb(150, 150, 150) ]
- else if nGroup <= 3
- scatcolors = ["crimson", "green", "darkslateblue"]
- else
- if nGroup <= 10
- colorScale = d3.scale.category10()
- else
- colorScale = d3.scale.category20()
- scatcolors = (colorScale(i) for i of d3.range(nGroup))
-
- scat_tip = d3.tip()
- .attr('class', 'd3-tip')
- .html((d,i) -> data.indID[i])
- .direction('e')
- .offset([0,10])
- scatterplot.call(scat_tip)
-
- drawScatter = (i,j) ->
- d3.selectAll("circle.points").remove()
- d3.selectAll("text.axes").remove()
- d3.selectAll("line.axes").remove()
- console.log("data.dat:", data.dat)
- console.log("data.cols:", data.cols)
- xScale = d3.scale.linear()
- .domain(d3.extent(data.dat[data.cols[i]]))
- .range([margin.inner, width-margin.inner])
- yScale = d3.scale.linear()
- .domain(d3.extent(data.dat[data.rows[j]]))
- .range([height-margin.inner, margin.inner])
- # axis labels
- scatterplot.append("text")
- .attr("id", "xaxis")
- .attr("class", "axes")
- .attr("x", width/2)
- .attr("y", height+margin.bottom*0.7)
- .text(data.var[data.cols[i]])
- .attr("dominant-baseline", "middle")
- .attr("text-anchor", "middle")
- .attr("fill", "slateblue")
- scatterplot.append("text")
- .attr("id", "yaxis")
- .attr("class", "axes")
- .attr("x", -margin.left*0.8)
- .attr("y", height/2)
- .text(data.var[data.rows[j]])
- .attr("dominant-baseline", "middle")
- .attr("text-anchor", "middle")
- .attr("transform", "rotate(270,#{-margin.left*0.8},#{height/2})")
- .attr("fill", "slateblue")
- # axis scales
- xticks = xScale.ticks(5)
- yticks = yScale.ticks(5)
- scatterplot.selectAll("empty")
- .data(xticks)
- .enter()
- .append("text")
- .attr("class", "axes")
- .text((d) -> formatAxis(xticks)(d))
- .attr("x", (d) -> xScale(d))
- .attr("y", height+margin.bottom*0.3)
- .attr("dominant-baseline", "middle")
- .attr("text-anchor", "middle")
- scatterplot.selectAll("empty")
- .data(yticks)
- .enter()
- .append("text")
- .attr("class", "axes")
- .text((d) -> formatAxis(yticks)(d))
- .attr("x", -margin.left*0.1)
- .attr("y", (d) -> yScale(d))
- .attr("dominant-baseline", "middle")
- .attr("text-anchor", "end")
- scatterplot.selectAll("empty")
- .data(xticks)
- .enter()
- .append("line")
- .attr("class", "axes")
- .attr("x1", (d) -> xScale(d))
- .attr("x2", (d) -> xScale(d))
- .attr("y1", 0)
- .attr("y2", height)
- .attr("stroke", "white")
- .attr("stroke-width", 1)
- scatterplot.selectAll("empty")
- .data(yticks)
- .enter()
- .append("line")
- .attr("class", "axes")
- .attr("y1", (d) -> yScale(d))
- .attr("y2", (d) -> yScale(d))
- .attr("x1", 0)
- .attr("x2", width)
- .attr("stroke", "white")
- .attr("stroke-width", 1)
- # the points
- scatterplot.selectAll("empty")
- .data(d3.range(nind))
- .enter()
- .append("circle")
- .attr("class", "points")
- .attr("cx", (d) -> xScale(data.dat[data.cols[i]][d]))
- .attr("cy", (d) -> yScale(data.dat[data.rows[j]][d]))
- .attr("r", (d) ->
- x = data.dat[data.cols[i]][d]
- y = data.dat[data.rows[j]][d]
- if x? and y? then 3 else null)
- .attr("stroke", "black")
- .attr("stroke-width", 1)
- .attr("fill", (d) -> scatcolors[data.group[d]-1])
- .on("mouseover", scat_tip.show)
- .on("mouseout", scat_tip.hide)
-
- # boxes around panels
- corrplot.append("rect")
- .attr("height", height)
- .attr("width", width)
- .attr("fill", "none")
- .attr("stroke", "black")
- .attr("stroke-width", 1)
- .attr("pointer-events", "none")
-
- scatterplot.append("rect")
- .attr("height", height)
- .attr("width", width)
- .attr("fill", "none")
- .attr("stroke", "black")
- .attr("stroke-width", 1)
- .attr("pointer-events", "none")
-
- # text above
- corrplot.append("text")
- .text(cortitle)
- .attr("id", "corrtitle")
- .attr("x", width/2)
- .attr("y", -margin.top/2)
- .attr("dominant-baseline", "middle")
- .attr("text-anchor", "middle")
-
- scatterplot.append("text")
- .text(scattitle)
- .attr("id", "scattitle")
- .attr("x", width/2)
- .attr("y", -margin.top/2)
- .attr("dominant-baseline", "middle")
- .attr("text-anchor", "middle")
-
- d3.select("div#caption")
- .style("opacity", 1)
-
-root.corr_matrix = iplotCorr
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/corr_scatter_plot.coffee b/wqflask/wqflask/static/new/javascript/corr_scatter_plot.coffee deleted file mode 100644 index 29a0e8f7..00000000 --- a/wqflask/wqflask/static/new/javascript/corr_scatter_plot.coffee +++ /dev/null @@ -1,67 +0,0 @@ -root = exports ? this - -class Scatter_Plot - constructor: () -> - data = new Array() - samples_1 = js_data.samples_1 - samples_2 = js_data.samples_2 - i = 0 - for samplename of samples_1 - sample1 = samples_1[samplename] - sample2 = samples_2[samplename] - data[i++] = [sample1.value, sample2.value] - margin = - top: 100 - right: 15 - bottom: 60 - left: 60 - - width = js_data.width - margin.left - margin.right - height = js_data.height - margin.top - margin.bottom - minx = d3.min(data, (d) -> - d[0] - ) * 0.95 - maxx = d3.max(data, (d) -> - d[0] - ) * 1.05 - miny = d3.min(data, (d) -> - d[1] - ) * 0.95 - maxy = d3.max(data, (d) -> - d[1] - ) * 1.05 - x = d3.scale.linear().domain([minx, maxx]).range([0, width]) - y = d3.scale.linear().domain([miny, maxy]).range([height, 0]) - chart = d3.select("#scatter_plot").append("svg:svg").attr("width", width + margin.right + margin.left).attr("height", height + margin.top + margin.bottom).attr("class", "chart") - main = chart.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")").attr("width", width).attr("height", height).attr("class", "main") - - # draw the x axis - xAxis = d3.svg.axis().scale(x).orient("bottom") - main.append("g").attr("transform", "translate(0," + height + ")").attr("class", "main axis date").call xAxis - - # draw the y axis - yAxis = d3.svg.axis().scale(y).orient("left") - main.append("g").attr("transform", "translate(0,0)").attr("class", "main axis date").call yAxis - g = main.append("svg:g") - g.selectAll("scatter-dots").data(data).enter().append("svg:circle").attr("cx", (d) -> - x d[0] - ).attr("cy", (d) -> - y d[1] - ).attr("fill", js_data.circle_color).attr "r", js_data.circle_radius - main.append("line").attr("x1", x(minx)).attr("y1", y(js_data.slope * minx + js_data.intercept)).attr("x2", x(maxx * 0.995)).attr("y2", y(js_data.slope * maxx * 0.995 + js_data.intercept)).style("stroke", js_data.line_color).style "stroke-width", js_data.line_width - chart.append("text").attr("x", width / 2).attr("y", margin.top / 2 - 25).text "Sample Correlation Scatterplot" - text = "" - text += "N=" + js_data.num_overlap - chart.append("text").attr("x", margin.left).attr("y", margin.top / 2 - 5).text text - text = "" - text += "r=" + js_data.r_value + "\t" - text += "p(r)=" + js_data.p_value - chart.append("text").attr("x", margin.left).attr("y", margin.top / 2 + 15).text text - text = "" - text += "slope=" + js_data.slope + "\t" - text += "intercept=" + js_data.intercept - chart.append("text").attr("x", margin.left).attr("y", margin.top / 2 + 35).text text - chart.append("text").attr("x", width / 2).attr("y", height + margin.top + 35).text js_data.trait_1 - chart.append("text").attr("x", 20).attr("y", height / 2 + margin.top + 30).attr("transform", "rotate(-90 20," + (height / 2 + margin.top + 30) + ")").text js_data.trait_2 - -root.Scatter_Plot = Scatter_Plot diff --git a/wqflask/wqflask/static/new/javascript/create_corr_matrix.coffee b/wqflask/wqflask/static/new/javascript/create_corr_matrix.coffee deleted file mode 100644 index 88b392d0..00000000 --- a/wqflask/wqflask/static/new/javascript/create_corr_matrix.coffee +++ /dev/null @@ -1,42 +0,0 @@ -root = exports ? this
-
-$ ->
- console.log("js_data:", js_data)
-
- chartOpts = get_options()
- data = get_data()
- console.log(data)
-
- mychart = corr_matrix(data, chartOpts)
-
-
-get_options = ->
- #h = 450
- #w = 450
- #margin = {left:70, top:40, right:5, bottom: 70, inner:5}
- #
- chartOpts =
- cortitle: "Correlation Matrix"
- scattitle: "Scatterplot"
- h: 450
- w: 450
- margin: {left:100, top:40, right:5, bottom: 70, inner:5}
-
- return chartOpts
-
-get_data = ->
- data = {}
- data.var = js_data.traits
- data.group = js_data.groups
- data.indID = js_data.samples
- data.dat = js_data.sample_data
- data.corr = js_data.corr_results
- data.cols = js_data.cols
- data.rows = js_data.rows
-
-
- return data
-
-
-
-
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/create_corr_matrix.js b/wqflask/wqflask/static/new/javascript/create_corr_matrix.js index 44ed3c81..c0c39fbc 100644 --- a/wqflask/wqflask/static/new/javascript/create_corr_matrix.js +++ b/wqflask/wqflask/static/new/javascript/create_corr_matrix.js @@ -1,57 +1,12 @@ -// Generated by CoffeeScript 1.8.0 -// var get_data, get_options, root; - -// root = typeof exports !== "undefined" && exports !== null ? exports : this; - -// $(function() { - // var chartOpts, data, mychart; - // console.log("js_data:", js_data); - // chartOpts = get_options(); - // data = get_data(); - // console.log(data); - // return mychart = corr_matrix(data, chartOpts); -// }); - -// get_options = function() { - // var chartOpts; - // chartOpts = { - // cortitle: "Correlation Matrix", - // scattitle: "Scatterplot", - // h: 450, - // w: 450, - // margin: { - // left: 100, - // top: 40, - // right: 5, - // bottom: 70, - // inner: 5 - // } - // }; - // return chartOpts; -// }; - -// get_data = function() { - // var data; - // data = {}; - // data["var"] = js_data.traits; - // data.group = js_data.groups; - // data.indID = js_data.samples; - // data.dat = js_data.sample_data; - // data.corr = js_data.corr_results; - // data.cols = js_data.cols; - // data.rows = js_data.rows; - // return data; -// }; - -var neg_color_scale = chroma.scale(['#FF0000', 'white']).domain([-1, -0.4]); -var pos_color_scale = chroma.scale(['white', 'aqua']).domain([0.4, 1]) +var neg_color_scale = chroma.scale(['#91bfdb', '#ffffff']).domain([-1, -0.4]); +var pos_color_scale = chroma.scale(['#ffffff', '#fc8d59']).domain([0.4, 1]) $('.corr_cell').each( function () { corr_value = parseFloat($(this).find('span.corr_value').text()) if (corr_value >= 0.5){ - $(this).css('background-color', pos_color_scale(parseFloat(corr_value))) + $(this).css('background-color', pos_color_scale(parseFloat(corr_value))._rgb) } else if (corr_value <= -0.5) { - $(this).css('background-color', neg_color_scale(parseFloat(corr_value))) + $(this).css('background-color', neg_color_scale(parseFloat(corr_value))._rgb) } else { $(this).css('background-color', 'white') @@ -59,6 +14,11 @@ $('.corr_cell').each( function () { }); $('#short_labels').click( function (){ + if ($('.short_check').css("display") == "none"){ + $('.short_check').css("display", "inline-block") + } else { + $('.short_check').css("display", "none") + } $('.shortName').each( function() { if ($(this).css("display") == "none"){ $(this).css("display", "block"); @@ -70,6 +30,11 @@ $('#short_labels').click( function (){ }); $('#long_labels').click( function (){ + if ($('.long_check').css("display") == "none"){ + $('.long_check').css("display", "inline-block") + } else { + $('.long_check').css("display", "none") + } $('.verboseName').each( function() { if ($(this).css("display") == "none"){ $(this).css("display", "block"); @@ -78,4 +43,52 @@ $('#long_labels').click( function (){ $(this).css("display", "none"); } }); -});
\ No newline at end of file +}); + +select_all = function() { + $(".trait_checkbox").each(function() { + $(this).prop('checked', true); + }); +}; + +deselect_all = function() { + $(".trait_checkbox").each(function() { + $(this).prop('checked', false); + }); +}; + +change_buttons = function() { + num_checked = $('.trait_checkbox:checked').length; + if (num_checked === 0) { + $("#add").prop("disabled", true); + } else { + $("#add").prop("disabled", false); + } +}; + +add = function() { + var traits; + traits = $("input[name=pca_trait]:checked").map(function() { + return $(this).val(); + }).get(); + + var traits_hash = md5(traits.toString()); + + $.ajax({ + type: "POST", + url: "/collections/store_trait_list", + data: { + hash: traits_hash, + traits: traits.toString() + } + }); + + return $.colorbox({ + href: "/collections/add?hash=" + traits_hash + }); +} + +$("#select_all").click(select_all); +$("#deselect_all").click(deselect_all); +$("#add").click(add); +$(".btn, .trait_checkbox").click(change_buttons); diff --git a/wqflask/wqflask/static/new/javascript/create_heatmap.coffee b/wqflask/wqflask/static/new/javascript/create_heatmap.coffee deleted file mode 100644 index d3f9fb09..00000000 --- a/wqflask/wqflask/static/new/javascript/create_heatmap.coffee +++ /dev/null @@ -1,18 +0,0 @@ -create_heatmap = () ->
-
- h = 500
- w = 1200
-
- mychart = lodheatmap().height(h)
- .width(w)
- #.zthresh(1)
-
- data = js_data.json_data
-
- console.log("data:", data)
-
- d3.select("div#chart")
- .datum(data)
- .call(mychart)
-
-create_heatmap()
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/create_lodchart.coffee b/wqflask/wqflask/static/new/javascript/create_lodchart.coffee deleted file mode 100644 index 88003f4e..00000000 --- a/wqflask/wqflask/static/new/javascript/create_lodchart.coffee +++ /dev/null @@ -1,50 +0,0 @@ -create_lod_chart = -> - h = 500 - w = 1200 - margin = {left:60, top:40, right:40, bottom: 40, inner:5} - halfh = (h+margin.top+margin.bottom) - totalh = halfh*2 - totalw = (w+margin.left+margin.right) - if 'additive' of js_data - additive = js_data.additive - else - additive = false - - console.log("js_data:", js_data) - - # simplest use - #d3.json "data.json", (data) -> - mychart = lodchart().lodvarname("lod.hk") - .height(h) - .width(w) - .margin(margin) - .ylab(js_data.result_score_type + " score") - .manhattanPlot(js_data.manhattan_plot) - #.additive(additive) - - data = js_data.json_data - - d3.select("div#topchart") - .datum(data) - .call(mychart) - - # grab chromosome rectangles; color pink on hover - chrrect = mychart.chrSelect() - chrrect.on "mouseover", -> - d3.select(this).attr("fill", "#E9CFEC") - .on "mouseout", (d,i) -> - d3.select(this).attr("fill", -> - return "#F1F1F9" if i % 2 - "#FBFBFF") - - # animate points at markers on click - mychart.markerSelect() - .on "click", (d) -> - r = d3.select(this).attr("r") - d3.select(this) - .transition().duration(500).attr("r", r*3) - .transition().duration(500).attr("r", r) - -$ -> - root.create_lod_chart = create_lod_chart - diff --git a/wqflask/wqflask/static/new/javascript/create_manhattan_plot.coffee b/wqflask/wqflask/static/new/javascript/create_manhattan_plot.coffee deleted file mode 100644 index a4c41227..00000000 --- a/wqflask/wqflask/static/new/javascript/create_manhattan_plot.coffee +++ /dev/null @@ -1,82 +0,0 @@ -create_manhattan_plot = ->
- h = 500
- w = 1200
- margin = {left:60, top:40, right:40, bottom: 40, inner:5}
- halfh = (h+margin.top+margin.bottom)
- totalh = halfh*2
- totalw = (w+margin.left+margin.right)
-
- console.log("js_data:", js_data)
-
- # simplest use
- #d3.json "data.json", (data) ->
- mychart = lodchart().lodvarname("lod.hk")
- .height(h)
- .width(w)
- .margin(margin)
- .ylab("LOD score")
- .manhattanPlot(js_data.manhattan_plot)
-
- data = js_data.json_data
-
- d3.select("div#topchart")
- .datum(data)
- .call(mychart)
-
- # grab chromosome rectangles; color pink on hover
- chrrect = mychart.chrSelect()
- chrrect.on "mouseover", ->
- d3.select(this).attr("fill", "#E9CFEC")
- .on "mouseout", (d,i) ->
- d3.select(this).attr("fill", ->
- return "#F1F1F9" if i % 2
- "#FBFBFF")
-
- # animate points at markers on click
- mychart.markerSelect()
- .on "click", (d) ->
- r = d3.select(this).attr("r")
- d3.select(this)
- .transition().duration(500).attr("r", r*3)
- .transition().duration(500).attr("r", r)
-
-create_manhattan_plot()
-
-$("#export").click =>
- #Get d3 SVG element
- svg = $("#topchart").find("svg")[0]
-
- #Extract SVG text string
- svg_xml = (new XMLSerializer).serializeToString(svg)
- console.log("svg_xml:", svg_xml)
-
- #Set filename
- filename = "manhattan_plot_" + js_data.this_trait
-
- #Make a form with the SVG data
- form = $("#exportform")
- form.find("#data").val(svg_xml)
- form.find("#filename").val(filename)
- form.submit()
-
-$("#export_pdf").click =>
-
- #$('#topchart').remove()
- #$('#chart_container').append('<div class="qtlcharts" id="topchart"></div>')
- #create_interval_map()
-
- #Get d3 SVG element
- svg = $("#topchart").find("svg")[0]
-
- #Extract SVG text string
- svg_xml = (new XMLSerializer).serializeToString(svg)
- console.log("svg_xml:", svg_xml)
-
- #Set filename
- filename = "manhattan_plot_" + js_data.this_trait
-
- #Make a form with the SVG data
- form = $("#exportpdfform")
- form.find("#data").val(svg_xml)
- form.find("#filename").val(filename)
- form.submit()
diff --git a/wqflask/wqflask/static/new/javascript/ctl_graph.js b/wqflask/wqflask/static/new/javascript/ctl_graph.js index 94bd7e9d..bd950592 100644 --- a/wqflask/wqflask/static/new/javascript/ctl_graph.js +++ b/wqflask/wqflask/static/new/javascript/ctl_graph.js @@ -82,18 +82,12 @@ window.onload=function() { function create_qtips(cy){ cy.nodes().qtip({ content: function(){ - gn_link = '<b>'+'<a href="http://gn2.genenetwork.org/show_trait?trait_id=' + this.data().sid + '&dataset=' + this.data().dataset + '" >'+this.data().id +'</a>'+'</b><br>' + gn_link = '<b>'+'<a href="' + gn2_url + '/show_trait?trait_id=' + this.data().sid + '&dataset=' + this.data().dataset + '" >'+this.data().id +'</a>'+'</b><br>' ncbi_link = '<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene&cmd=Retrieve&dopt=Graphics&list_uids=' + this.data().geneid + '" >NCBI<a>'+'<br>' omim_link = '<a href="http://www.ncbi.nlm.nih.gov/omim/' + this.data().omim + '" >OMIM<a>'+'<br>' qtip_content = gn_link + ncbi_link + omim_link return qtip_content - //return '<b>'+'<a href="http://gn2.genenetwork.org/show_trait?trait_id=' + this.data().id + '&dataset=' + this.data().dataset + '" >'+this.data().id +'<a>'+'</b>' }, - // content: { - // title: '<b>'+'<a href="http://gn2.genenetwork.org/show_trait?trait_id=' + this.target() + '&dataset=' + this.dataset() + '" >'+this.target() +'<a>'+'</b>', - // text: this.target, - // button: true - // }, position: { my: 'top center', at: 'bottom center' diff --git a/wqflask/wqflask/static/new/javascript/curvechart.coffee b/wqflask/wqflask/static/new/javascript/curvechart.coffee deleted file mode 100644 index 7ed4359a..00000000 --- a/wqflask/wqflask/static/new/javascript/curvechart.coffee +++ /dev/null @@ -1,335 +0,0 @@ -# curvechart: reuseable chart with many curves
-
-curvechart = () ->
- width = 800
- height = 500
- margin = {left:60, top:40, right:40, bottom: 40, inner:5}
- axispos = {xtitle:25, ytitle:30, xlabel:5, ylabel:5}
- titlepos = 20
- xlim = null
- ylim = null
- nxticks = 5
- xticks = null
- nyticks = 5
- yticks = null
- rectcolor = "#e6e6e6"
- strokecolor = null
- strokecolorhilit = null
- strokewidth = 2
- strokewidthhilit = 2
- title = ""
- xlab = "X"
- ylab = "Y"
- rotate_ylab = null
- yscale = d3.scale.linear()
- xscale = d3.scale.linear()
- curvesSelect = null
- commonX = true
-
- ## the main function
- chart = (selection) ->
- selection.each (data) ->
-
- # grab indID if it's there
- # if no indID, create a vector of them
- indID = data?.indID ? null
- indID = indID ? [1..data.data.length]
-
- # groups of colors
- group = data?.group ? (1 for i of data.data)
- ngroup = d3.max(group)
- group = (g-1 for g in group) # changed from (1,2,3,...) to (0,1,2,...)
-
- # default light stroke colors
- strokecolor = strokecolor ? selectGroupColors(ngroup, "pastel")
- strokecolor = expand2vector(strokecolor, ngroup)
-
- # default dark stroke colors
- strokecolorhilit = strokecolorhilit ? selectGroupColors(ngroup, "dark")
- strokecolorhilit = expand2vector(strokecolorhilit, ngroup)
-
- # reorganize data?
- if commonX # reorganize data
- data = ({x:data.x, y:data.data[i]} for i of data.data)
- else
- data = data.data
-
- xlim = xlim ? d3.extent(pullVarAsArray(data, "x"))
- ylim = ylim ? d3.extent(pullVarAsArray(data, "y"))
-
- # reorganize again
- for i of data
- tmp = data[i]
- data[i] = []
- for j of tmp.x
- data[i].push({x:tmp.x[j], y:tmp.y[j]}) unless !tmp.x[j]? or !tmp.y[j]?
-
- # Select the svg element, if it exists.
- svg = d3.select(this).selectAll("svg").data([data])
-
- # Otherwise, create the skeletal chart.
- gEnter = svg.enter().append("svg").append("g")
-
- # Update the outer dimensions.
- svg.attr("width", width+margin.left+margin.right)
- .attr("height", height+margin.top+margin.bottom)
-
- g = svg.select("g")
-
- # box
- g.append("rect")
- .attr("x", margin.left)
- .attr("y", margin.top)
- .attr("height", height)
- .attr("width", width)
- .attr("fill", rectcolor)
- .attr("stroke", "none")
-
- # scales
- xrange = [margin.left+margin.inner, margin.left+width-margin.inner]
- yrange = [margin.top+height-margin.inner, margin.top+margin.inner]
- xscale.domain(xlim).range(xrange)
- yscale.domain(ylim).range(yrange)
- xs = d3.scale.linear().domain(xlim).range(xrange)
- ys = d3.scale.linear().domain(ylim).range(yrange)
-
- # if yticks not provided, use nyticks to choose pretty ones
- yticks = yticks ? ys.ticks(nyticks)
- xticks = xticks ? xs.ticks(nxticks)
-
- # title
- titlegrp = g.append("g").attr("class", "title")
- .append("text")
- .attr("x", margin.left + width/2)
- .attr("y", margin.top - titlepos)
- .text(title)
-
- # x-axis
- xaxis = g.append("g").attr("class", "x axis")
- xaxis.selectAll("empty")
- .data(xticks)
- .enter()
- .append("line")
- .attr("x1", (d) -> xscale(d))
- .attr("x2", (d) -> xscale(d))
- .attr("y1", margin.top)
- .attr("y2", margin.top+height)
- .attr("fill", "none")
- .attr("stroke", "white")
- .attr("stroke-width", 1)
- .style("pointer-events", "none")
- xaxis.selectAll("empty")
- .data(xticks)
- .enter()
- .append("text")
- .attr("x", (d) -> xscale(d))
- .attr("y", margin.top+height+axispos.xlabel)
- .text((d) -> formatAxis(xticks)(d))
- xaxis.append("text").attr("class", "title")
- .attr("x", margin.left+width/2)
- .attr("y", margin.top+height+axispos.xtitle)
- .text(xlab)
-
- # y-axis
- rotate_ylab = rotate_ylab ? (ylab.length > 1)
- yaxis = g.append("g").attr("class", "y axis")
- yaxis.selectAll("empty")
- .data(yticks)
- .enter()
- .append("line")
- .attr("y1", (d) -> yscale(d))
- .attr("y2", (d) -> yscale(d))
- .attr("x1", margin.left)
- .attr("x2", margin.left+width)
- .attr("fill", "none")
- .attr("stroke", "white")
- .attr("stroke-width", 1)
- .style("pointer-events", "none")
- yaxis.selectAll("empty")
- .data(yticks)
- .enter()
- .append("text")
- .attr("y", (d) -> yscale(d))
- .attr("x", margin.left-axispos.ylabel)
- .text((d) -> formatAxis(yticks)(d))
- yaxis.append("text").attr("class", "title")
- .attr("y", margin.top+height/2)
- .attr("x", margin.left-axispos.ytitle)
- .text(ylab)
- .attr("transform", if rotate_ylab then "rotate(270,#{margin.left-axispos.ytitle},#{margin.top+height/2})" else "")
-
- indtip = d3.tip()
- .attr('class', 'd3-tip')
- .html((d) -> indID[d])
- .direction('e')
- .offset([0,10])
- svg.call(indtip)
-
- curve = d3.svg.line()
- .x((d) -> xscale(d.x))
- .y((d) -> yscale(d.y))
-
- curves = g.append("g").attr("id", "curves")
- curvesSelect =
- curves.selectAll("empty")
- .data(d3.range(data.length))
- .enter()
- .append("path")
- .datum((d) -> data[d])
- .attr("d", curve)
- .attr("class", (d,i) -> "path#{i}")
- .attr("fill", "none")
- .attr("stroke", (d,i) -> strokecolor[group[i]])
- .attr("stroke-width", strokewidth)
- .on "mouseover.panel", (d,i) ->
- d3.select(this).attr("stroke", strokecolorhilit[group[i]]).moveToFront()
- circle = d3.select("circle#hiddenpoint#{i}")
- indtip.show(i, circle.node())
- .on "mouseout.panel", (d,i) ->
- d3.select(this).attr("stroke", strokecolor[group[i]]).moveToBack()
- indtip.hide()
-
- # grab the last non-null point from each curve
- lastpoint = ({x:null, y:null} for i of data)
- for i of data
- for v in data[i]
- lastpoint[i] = v if v.x? and v.y?
-
- pointsg = g.append("g").attr("id", "invisiblepoints")
- points = pointsg.selectAll("empty")
- .data(lastpoint)
- .enter()
- .append("circle")
- .attr("id", (d,i) -> "hiddenpoint#{i}")
- .attr("cx", (d) -> xscale(d.x))
- .attr("cy", (d) -> yscale(d.y))
- .attr("r", 1)
- .attr("opacity", 0)
-
- # box
- g.append("rect")
- .attr("x", margin.left)
- .attr("y", margin.top)
- .attr("height", height)
- .attr("width", width)
- .attr("fill", "none")
- .attr("stroke", "black")
- .attr("stroke-width", "none")
-
- ## configuration parameters
- chart.width = (value) ->
- return width if !arguments.length
- width = value
- chart
-
- chart.height = (value) ->
- return height if !arguments.length
- height = value
- chart
-
- chart.margin = (value) ->
- return margin if !arguments.length
- margin = value
- chart
-
- chart.axispos = (value) ->
- return axispos if !arguments.length
- axispos = value
- chart
-
- chart.titlepos = (value) ->
- return titlepos if !arguments.length
- titlepos
- chart
-
- chart.xlim = (value) ->
- return xlim if !arguments.length
- xlim = value
- chart
-
- chart.nxticks = (value) ->
- return nxticks if !arguments.length
- nxticks = value
- chart
-
- chart.xticks = (value) ->
- return xticks if !arguments.length
- xticks = value
- chart
-
- chart.ylim = (value) ->
- return ylim if !arguments.length
- ylim = value
- chart
-
- chart.nyticks = (value) ->
- return nyticks if !arguments.length
- nyticks = value
- chart
-
- chart.yticks = (value) ->
- return yticks if !arguments.length
- yticks = value
- chart
-
- chart.rectcolor = (value) ->
- return rectcolor if !arguments.length
- rectcolor = value
- chart
-
- chart.strokecolor = (value) ->
- return strokecolor if !arguments.length
- strokecolor = value
- chart
-
- chart.strokecolorhilit = (value) ->
- return strokecolorhilit if !arguments.length
- strokecolorhilit = value
- chart
-
- chart.strokewidth = (value) ->
- return strokewidth if !arguments.length
- strokewidth = value
- chart
-
- chart.strokewidthhilit = (value) ->
- return strokewidthhilit if !arguments.length
- strokewidthhilit = value
- chart
-
- chart.commonX = (value) ->
- return commonX if !arguments.length
- commonX = value
- chart
-
- chart.title = (value) ->
- return title if !arguments.length
- title = value
- chart
-
- chart.xlab = (value) ->
- return xlab if !arguments.length
- xlab = value
- chart
-
- chart.ylab = (value) ->
- return ylab if !arguments.length
- ylab = value
- chart
-
- chart.rotate_ylab = (value) ->
- return rotate_ylab if !arguments.length
- rotate_ylab = value
- chart
-
- chart.yscale = () ->
- return yscale
-
- chart.xscale = () ->
- return xscale
-
- chart.curvesSelect = () ->
- return curvesSelect
-
- # return the chart function
- chart
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json b/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json index d61168eb..0f7acc70 100644 --- a/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json +++ b/wqflask/wqflask/static/new/javascript/dataset_menu_structure.json @@ -1,3712 +1,3871 @@ { "datasets": { - "All Species": { - "All Groups": { - "Phenotypes": [ - [ - "All Phenotypes", - "All Phenotypes" - ] - ] - } - }, "arabidopsis": { "BayXSha": { "Genotypes": [ [ - "None", - "BayXShaGeno", + "None", + "BayXShaGeno", "BayXSha Genotypes" ] - ], + ], "Phenotypes": [ [ - "642", - "BayXShaPublish", + "642", + "BayXShaPublish", "BayXSha Published Phenotypes" ] ] - }, + }, "ColXBur": { "Genotypes": [ [ - "None", - "ColXBurGeno", + "None", + "ColXBurGeno", "ColXBur Genotypes" ] - ], + ], "Phenotypes": [ [ - "623", - "ColXBurPublish", + "623", + "ColXBurPublish", "ColXBur Published Phenotypes" ] ] - }, + }, "ColXCvi": { "Genotypes": [ [ - "None", - "ColXCviGeno", + "None", + "ColXCviGeno", "ColXCvi Genotypes" ] - ], + ], "Phenotypes": [ [ - "640", - "ColXCviPublish", + "640", + "ColXCviPublish", "ColXCvi Published Phenotypes" ] ] } - }, + }, "barley": { "QSM": { "Leaf mRNA": [ [ - "236", - "B1LI0809R", + "236", + "B1LI0809R", "Barley1 Leaf INOC TTKS (Aug09) RMA" - ], + ], [ - "235", - "B1LI0809M5", + "235", + "B1LI0809M5", "Barley1 Leaf INOC TTKS (Aug09) MAS5" - ], + ], [ - "237", - "B1MI0809M5", + "237", + "B1MI0809M5", "Barley1 Leaf MOCK TTKS (Aug09) MAS5" - ], + ], [ - "238", - "B1MI0809R", + "238", + "B1MI0809R", "Barley1 Leaf MOCK TTKS (Aug09) RMA" ] ] - }, + }, "SXM": { "Embryo mRNA": [ [ - "128", - "B139_K_1206_R", + "128", + "B139_K_1206_R", "Barley1 Embryo gcRMA SCRI (Dec06)" - ], + ], [ - "124", - "B139_K_1206_M", + "124", + "B139_K_1206_M", "Barley1 Embryo MAS 5.0 SCRI (Dec06)" - ], + ], [ - "114", - "B150_K_0406_R", + "114", + "B150_K_0406_R", "Barley1 Embryo0 gcRMA SCRI (Apr06)" ] - ], + ], "Genotypes": [ [ - "615", - "SXMGeno", + "615", + "SXMGeno", "SXM Genotypes" ] - ], + ], "Leaf mRNA": [ [ - "127", - "B30_K_1206_M", + "127", + "B30_K_1206_M", "Barley1 Leaf MAS 5.0 SCRI (Dec06)" - ], + ], [ - "125", - "B30_K_1206_R", + "125", + "B30_K_1206_R", "Barley1 Leaf gcRMA SCRI (Dec06)" - ], + ], [ - "126", - "B30_K_1206_Rn", + "126", + "B30_K_1206_Rn", "Barley1 Leaf gcRMAn SCRI (Dec06)" ] - ], + ], "Phenotypes": [ [ - "608", - "SXMPublish", - "SXM Published Phenotypes" + "608", + "SXMPublish", + "Barley SMP Published Phenotypes" ] ] } - }, + }, "drosophila": { "DGRP": { "Whole Body mRNA": [ [ - "297", - "NCSU_DrosWB_LC_RMA_0111", + "297", + "NCSU_DrosWB_LC_RMA_0111", "NCSU Drosophila Whole Body (Jan11) RMA" ] ] - }, + }, "Oregon-R_x_2b3": { "Whole Body mRNA": [ [ - "249", - "UAB_DrosWB_LC_RMA_1009", + "249", + "UAB_DrosWB_LC_RMA_1009", "UAB Whole body D.m. mRNA control (Oct09) RMA" - ], + ], [ - "250", - "UAB_DrosWB_LE_RMA_1009", + "250", + "UAB_DrosWB_LE_RMA_1009", "UAB Whole body D.m. mRNA lead (pbAc) (Oct09) RMA" ] ] } - }, + }, "human": { "AD-cases-controls": { "Brain mRNA": [ [ - "314", - "GSE5281_F_RMA_N_0709", + "314", + "GSE5281_F_RMA_N_0709", "GSE5281 Human Brain Normal Full Liang (Jul09) RMA" - ], + ], [ - "313", - "GSE5281_F_RMA_Alzh_0709", + "313", + "GSE5281_F_RMA_Alzh_0709", "GSE5281 Human Brain Alzheimer Full Liang (Jul09) RMA" - ], + ], [ - "233", - "GSE5281_F_RMA0709", + "233", + "GSE5281_F_RMA0709", "GSE5281 Human Brain Full Liang (Jul09) RMA" - ], + ], [ - "232", - "GSE5281_RMA0709", + "232", + "GSE5281_RMA0709", "GSE5281 Human Brain Best 102 Liang (Jul09) RMA" ] ] - }, + }, "AD-cases-controls-Myers": { "Brain mRNA": [ [ - "234", - "GSE15222_F_RI_0409", + "234", + "GSE15222_F_RI_0409", "GSE15222 Human Brain All Cases Myers (Apr09) RankInv" - ], + ], [ - "290", - "GSE15222_F_N_RI_0409", + "290", + "GSE15222_F_N_RI_0409", "GSE15222 Human Brain Normal Myers (Apr09) RankInv" - ], + ], [ - "289", - "GSE15222_F_A_RI_0409", + "289", + "GSE15222_F_A_RI_0409", "GSE15222 Human Brain Alzheimer Myers (Apr09) RankInv" ] - ], + ], "Genotypes": [ [ - "None", - "AD-cases-controls-MyersGeno", + "None", + "AD-cases-controls-MyersGeno", "AD-cases-controls-Myers Genotypes" ] - ], + ], "Phenotypes": [ [ - "None", - "AD-cases-controls-MyersPublish", + "None", + "AD-cases-controls-MyersPublish", "AD-cases-controls-Myers Published Phenotypes" ] ] - }, + }, "Aging-Brain-UCI": { "Entorhinal Cortex mRNA": [ [ - "460", - "UCI_EC_0913", + "460", + "UCI_EC_0913", "GSE11882 UCI Human Entorhinal Cortex Affy U133 Plus2 (Sep13) RMA" ] - ], + ], "Hippocampus mRNA": [ [ - "461", - "UCI_HC_0913", + "461", + "UCI_HC_0913", "GSE11882 UCI Human Hippocampus Affy U133 Plus2 (Sep13) RMA" ] - ], + ], "Phenotypes": [ [ - "None", - "Aging-Brain-UCIPublish", + "None", + "Aging-Brain-UCIPublish", "Aging-Brain-UCI Published Phenotypes" ] - ], + ], "Postcentral Gyrus mRNA": [ [ - "462", - "UCI_PCG_0913", + "462", + "UCI_PCG_0913", "GSE11882 UCI Human Postcentral Gyrus Affy U133 Plus2 (Sep13) RMA" ] - ], + ], "Superior Frontal Gyrus mRNA": [ [ - "463", - "UCI_SG_0913", + "463", + "UCI_SG_0913", "GSE11882 UCI Human Superior Frontal Gyrus Affy U133 Plus2 (Sep13) RMA" ] ] - }, + }, "Brain-Normal-NIH-Gibbs": { "Cerebellum mRNA": [ [ - "481", - "GSE15745-GPL6104_Cer0510", + "481", + "GSE15745-GPL6104_Cer0510", "GSE15745 NIH Human Brain Cerebellum ILM humanRef-8 v2.0 (May10) RankInv" ] - ], + ], "Pons mRNA": [ [ - "484", - "GSE15745-GPL6104_Po0510", + "484", + "GSE15745-GPL6104_Po0510", "GSE15745 NIH Human Brain Pons ILM humanRef-8 v2.0 (May10) RankInv" ] - ], + ], "Prefrontal Cortex mRNA": [ [ - "482", - "GSE15745-GPL6104_PFC0510", + "482", + "GSE15745-GPL6104_PFC0510", "GSE15745 NIH Human Brain Prefrontal Cortex ILM humanRef-8 v2.0 (May10) RankInv" ] - ], + ], "Temporal Cerebral Wall mRNA": [ [ - "483", - "GSE15745-GPL6104_TC0510", + "483", + "GSE15745-GPL6104_TC0510", "GSE15745 NIH Human Brain Temporal Cerebral ILM humanRef-8 v2.0 (May10) RankInv" ] ] - }, + }, "CANDLE": { "Newborn Cord Blood mRNA": [ [ - "324", - "CANDLE_NB_0711", + "324", + "CANDLE_NB_0711", "CANDLE Newborn Cord ILMv6.3 (Jun11) QUANT" ] - ], + ], "Phenotypes": [ [ - "634", - "CANDLEPublish", + "634", + "CANDLEPublish", "CANDLE Published Phenotypes" ] ] - }, + }, "CEPH-2004": { "Lymphoblast B-cell mRNA": [ [ - "241", - "UT_CEPH_RankInv0909", + "241", + "UT_CEPH_RankInv0909", "UTHSC CEPH B-cells Illumina (Sep09) RankInv" - ], + ], [ - "215", - "Human_1008", + "215", + "Human_1008", "Monks CEPH B-cells Agilent (Dec04) Log10Ratio" ] ] - }, + }, "GTEx": { "Adipose tissue, subcutaneous mRNA": [ [ - "580", - "GTEx_log2_Subcu_0314", + "580", + "GTEx_log2_Subcu_0314", "GTEx Human Subcutaneous (Mar14) RPKM Log2" - ], + ], [ - "530", - "GTEx_Subcu_0414", + "530", + "GTEx_Subcu_0414", "GTEx Human Subcutaneous (Apr14) RPKM" ] - ], + ], "Adipose tissue, visceral mRNA": [ [ - "587", - "GTEx_log2_Visce_0314", + "587", + "GTEx_log2_Visce_0314", "GTEx Human Visceral (Mar14) RPKM Log2" - ], + ], [ - "537", - "GTEx_Visce_0414", + "537", + "GTEx_Visce_0414", "GTEx Human Visceral (Apr14) RPKM" ] - ], + ], "Adrenal Gland mRNA": [ [ - "545", - "GTEx_log2_Adren_0314", + "545", + "GTEx_log2_Adren_0314", "GTEx Human Adrenal Gland (Mar14) RPKM Log2" - ], + ], [ - "495", - "GTEx_Adren_0414", + "495", + "GTEx_Adren_0414", "GTEx Human Adrenal Gland (Apr14) RPKM" ] - ], + ], "Amygdala mRNA": [ [ - "542", - "GTEx_log2_AMY_0314", + "542", + "GTEx_log2_AMY_0314", "GTEx Human Amygdala (Mar14) RPKM Log2" - ], + ], [ - "492", - "GTEx_AMY_0314", + "492", + "GTEx_AMY_0314", "GTEx Human Amygdala (Mar14) RPKM" ] - ], + ], "Anterior Cingulate Cortex mRNA": [ [ - "546", - "GTEx_log2_Anter_0314", + "546", + "GTEx_log2_Anter_0314", "GTEx Human Anterior Cingulate Cortex (Mar14) RPKM Log2" - ], + ], [ - "496", - "GTEx_Anter_0414", + "496", + "GTEx_Anter_0414", "GTEx Human Anterior Cingulate Cortex (Apr14) RPKM" ] - ], + ], "Aorta mRNA": [ [ - "547", - "GTEx_log2_Aorta_0314", + "547", + "GTEx_log2_Aorta_0314", "GTEx Human Aorta (Mar14) RPKM Log2" - ], + ], [ - "497", - "GTEx_Aorta_0414", + "497", + "GTEx_Aorta_0414", "GTEx Human Aorta (Apr14) RPKM" ] - ], + ], "Blood, Cells - EBV-Transformed Lymphocytes mRNA": [ [ - "548", - "GTEx_log2_Blood_0314", + "548", + "GTEx_log2_Blood_0314", "GTEx Human Blood, Cells - EBV-Transformed Lymphocytes (Mar14) RPKM Log2" - ], + ], [ - "498", - "GTEx_Blood_0414", + "498", + "GTEx_Blood_0414", "GTEx Human Blood, Cells - EBV-Transformed Lymphocytes (Apr14) RPKM" ] - ], + ], "Breast - Mammary Tissue mRNA": [ [ - "549", - "GTEx_log2_Breas_0314", + "549", + "GTEx_log2_Breas_0314", "GTEx Human Breast - Mammary Tissue (Mar14) RPKM Log2" - ], + ], [ - "499", - "GTEx_Breas_0414", + "499", + "GTEx_Breas_0414", "GTEx Human Breast - Mammary Tissue (Apr14) RPKM" ] - ], + ], "Caudate mRNA": [ [ - "550", - "GTEx_log2_Cauda_0314", + "550", + "GTEx_log2_Cauda_0314", "GTEx Human Caudate (Mar14) RPKM Log2" - ], + ], [ - "500", - "GTEx_Cauda_0414", + "500", + "GTEx_Cauda_0414", "GTEx Human Caudate (Apr14) RPKM" ] - ], + ], "Cells - EBV-Transformed Lymphocytes mRNA": [ [ - "551", - "GTEx_log2_CellsEBV_0314", + "551", + "GTEx_log2_CellsEBV_0314", "GTEx Human Cells - EBV-Transformed Lymphocytes (Mar14) RPKM Log2" - ], + ], [ - "501", - "GTEx_CellsEBV_0414", + "501", + "GTEx_CellsEBV_0414", "GTEx Human Cells - EBV-Transformed Lymphocytes (Apr14) RPKM" ] - ], + ], "Cells - Leukemia Cell Line (CML) mRNA": [ [ - "552", - "GTEx_log2_CellsLe_0314", + "552", + "GTEx_log2_CellsLe_0314", "GTEx Human Cells - Leukemia Cell Line (CML) (Mar14) RPKM Log2" - ], + ], [ - "502", - "GTEx_CellsLe_0414", + "502", + "GTEx_CellsLe_0414", "GTEx Human Cells - Leukemia Cell Line (CML) (Apr14) RPKM" ] - ], + ], "Cells - Transformed Fibroblasts mRNA": [ [ - "553", - "GTEx_log2_CellsTr_0314", + "553", + "GTEx_log2_CellsTr_0314", "GTEx Human Cells - Transformed Fibroblasts (Mar14) RPKM Log2" - ], + ], [ - "503", - "GTEx_CellsTr_0414", + "503", + "GTEx_CellsTr_0414", "GTEx Human Cells - Transformed Fibroblasts (Apr14) RPKM" ] - ], + ], "Cerebellar Cortex mRNA": [ [ - "554", - "GTEx_log2_CerebC_0314", + "554", + "GTEx_log2_CerebC_0314", "GTEx Human Cerebellar Cortex (Mar14) RPKM Log2" - ], + ], [ - "504", - "GTEx_CerebC_0414", + "504", + "GTEx_CerebC_0414", "GTEx Human Cerebellar Cortex (Apr14) RPKM" ] - ], + ], "Cerebellar Hemisphere mRNA": [ [ - "555", - "GTEx_log2_CerebH_0314", + "555", + "GTEx_log2_CerebH_0314", "GTEx Human Cerebellar Hemisphere (Mar14) RPKM Log2" - ], + ], [ - "505", - "GTEx_CerebH_0414", + "505", + "GTEx_CerebH_0414", "GTEx Human Cerebellar Hemisphere (Apr14) RPKM" ] - ], + ], "Cerebellum mRNA": [ [ - "543", - "GTEx_log2_CER_0314", + "543", + "GTEx_log2_CER_0314", "GTEx Human Cerebellum (Mar14) RPKM Log2" - ], + ], [ - "493", - "GTEx_CER_0314", + "493", + "GTEx_CER_0314", "GTEx Human Cerebellum (Mar14) RPKM" ] - ], + ], "Colon - Transverse mRNA": [ [ - "556", - "GTEx_log2_Colon_0314", + "556", + "GTEx_log2_Colon_0314", "GTEx Human Colon - Transverse (Mar14) RPKM Log2" - ], + ], [ - "506", - "GTEx_Colon_0414", + "506", + "GTEx_Colon_0414", "GTEx Human Colon - Transverse (Apr14) RPKM" ] - ], + ], "Coronary mRNA": [ [ - "557", - "GTEx_log2_Coron_0314", + "557", + "GTEx_log2_Coron_0314", "GTEx Human Coronary (Mar14) RPKM Log2" - ], + ], [ - "507", - "GTEx_Coron_0414", + "507", + "GTEx_Coron_0414", "GTEx Human Coronary (Apr14) RPKM" ] - ], + ], "Esophagus - Mucosa mRNA": [ [ - "558", - "GTEx_log2_EsophMuc_0314", + "558", + "GTEx_log2_EsophMuc_0314", "GTEx Human Esophagus - Mucosa (Mar14) RPKM Log2" - ], + ], [ - "508", - "GTEx_EsophMuc_0414", + "508", + "GTEx_EsophMuc_0414", "GTEx Human Esophagus - Mucosa (Apr14) RPKM" ] - ], + ], "Esophagus - Muscularis mRNA": [ [ - "559", - "GTEx_log2_EsophMus_0314", + "559", + "GTEx_log2_EsophMus_0314", "GTEx Human Esophagus - Muscularis (Mar14) RPKM Log2" - ], + ], [ - "509", - "GTEx_EsophMus_0414", + "509", + "GTEx_EsophMus_0414", "GTEx Human Esophagus - Muscularis (Apr14) RPKM" ] - ], + ], "Fallopian Tube mRNA": [ [ - "560", - "GTEx_log2_Fallo_0314", + "560", + "GTEx_log2_Fallo_0314", "GTEx Human Fallopian Tube (Mar14) RPKM Log2" - ], + ], [ - "510", - "GTEx_Fallo_0414", + "510", + "GTEx_Fallo_0414", "GTEx Human Fallopian Tube (Apr14) RPKM" ] - ], + ], "Frontal Cortex mRNA": [ [ - "561", - "GTEx_log2_Front_0314", + "561", + "GTEx_log2_Front_0314", "GTEx Human Frontal Cortex (Mar14) RPKM Log2" - ], + ], [ - "511", - "GTEx_Front_0414", + "511", + "GTEx_Front_0414", "GTEx Human Frontal Cortex (Apr14) RPKM" ] - ], + ], "Heart - Atrial Appendage mRNA": [ [ - "562", - "GTEx_log2_HeartAt_0314", + "562", + "GTEx_log2_HeartAt_0314", "GTEx Human Heart - Atrial Appendage (Mar14) RPKM Log2" - ], + ], [ - "512", - "GTEx_HeartAt_0414", + "512", + "GTEx_HeartAt_0414", "GTEx Human Heart - Atrial Appendage (Apr14) RPKM" ] - ], + ], "Heart - Left Ventricle mRNA": [ [ - "563", - "GTEx_log2_HeartLV_0314", + "563", + "GTEx_log2_HeartLV_0314", "GTEx Human Heart - Left Ventricle (Mar14) RPKM Log2" - ], + ], [ - "513", - "GTEx_HeartLV_0414", + "513", + "GTEx_HeartLV_0414", "GTEx Human Heart - Left Ventricle (Apr14) RPKM" ] - ], + ], "Hippocampus mRNA": [ [ - "544", - "GTEx_log2_HIP_0314", + "544", + "GTEx_log2_HIP_0314", "GTEx Human Hippocampus (Mar14) RPKM Log2" - ], + ], [ - "494", - "GTEx_HIP_0314", + "494", + "GTEx_HIP_0314", "GTEx Human Hippocampus (Mar14) RPKM" ] - ], + ], "Hypothalamus mRNA": [ [ - "564", - "GTEx_log2_Hypot_0314", + "564", + "GTEx_log2_Hypot_0314", "GTEx Human Hypothalamus (Mar14) RPKM Log2" - ], + ], [ - "514", - "GTEx_Hypot_0414", + "514", + "GTEx_Hypot_0414", "GTEx Human Hypothalamus (Apr14) RPKM" ] - ], + ], "Kidney mRNA": [ [ - "565", - "GTEx_log2_Kidne_0314", + "565", + "GTEx_log2_Kidne_0314", "GTEx Human Kidney (Mar14) RPKM Log2" - ], + ], [ - "515", - "GTEx_Kidne_0414", + "515", + "GTEx_Kidne_0414", "GTEx Human Kidney (Apr14) RPKM" ] - ], + ], "Liver mRNA": [ [ - "566", - "GTEx_log2_Liver_0314", + "566", + "GTEx_log2_Liver_0314", "GTEx Human Liver (Mar14) RPKM Log2" - ], + ], [ - "516", - "GTEx_Liver_0414", + "516", + "GTEx_Liver_0414", "GTEx Human Liver (Apr14) RPKM" ] - ], + ], "Lung mRNA": [ [ - "567", - "GTEx_log2_Lung_0314", + "567", + "GTEx_log2_Lung_0314", "GTEx Human Lung (Mar14) RPKM Log2" - ], + ], [ - "517", - "GTEx_Lung _0414", + "517", + "GTEx_Lung _0414", "GTEx Human Lung (Apr14) RPKM" ] - ], + ], "Muscle mRNA": [ [ - "568", - "GTEx_log2_Muscle_0314", + "568", + "GTEx_log2_Muscle_0314", "GTEx Human Muscle (Mar14) RPKM Log2" - ], + ], [ - "518", - "GTEx_Muscl_0414", + "518", + "GTEx_Muscl_0414", "GTEx Human Muscle (Apr14) RPKM" ] - ], + ], "Nerve - Tibial mRNA": [ [ - "569", - "GTEx_log2_Nerve_0314", + "569", + "GTEx_log2_Nerve_0314", "GTEx Human Nerve - Tibial (Mar14) RPKM Log2" - ], + ], [ - "519", - "GTEx_Nerve_0414", + "519", + "GTEx_Nerve_0414", "GTEx Human Nerve - Tibial (Apr14) RPKM" ] - ], + ], "Nucleus Accumbens mRNA": [ [ - "570", - "GTEx_log2_Nucle_0314", + "570", + "GTEx_log2_Nucle_0314", "GTEx Human Nucleus Accumbens (Mar14) RPKM Log2" - ], + ], [ - "520", - "GTEx_Nucle_0414", + "520", + "GTEx_Nucle_0414", "GTEx Human Nucleus Accumbens (Apr14) RPKM" ] - ], + ], "Ovary mRNA": [ [ - "571", - "GTEx_log2_Ovary_0314", + "571", + "GTEx_log2_Ovary_0314", "GTEx Human Ovary (Mar14) RPKM Log2" - ], + ], [ - "521", - "GTEx_Ovary_0414", + "521", + "GTEx_Ovary_0414", "GTEx Human Ovary (Apr14) RPKM" ] - ], + ], "Pancreas mRNA": [ [ - "572", - "GTEx_log2_Pancr_0314", + "572", + "GTEx_log2_Pancr_0314", "GTEx Human Pancreas (Mar14) RPKM Log2" - ], + ], [ - "522", - "GTEx_Pancr_0414", + "522", + "GTEx_Pancr_0414", "GTEx Human Pancreas (Apr14) RPKM" ] - ], + ], "Pituitary Gland mRNA": [ [ - "573", - "GTEx_log2_Pitui_0314", + "573", + "GTEx_log2_Pitui_0314", "GTEx Human Pituitary (Mar14) RPKM Log2" - ], + ], [ - "523", - "GTEx_Pitui_0414", + "523", + "GTEx_Pitui_0414", "GTEx Human Pituitary (Apr14) RPKM" ] - ], + ], "Prostate mRNA": [ [ - "574", - "GTEx_log2_Prost_0314", + "574", + "GTEx_log2_Prost_0314", "GTEx Human Prostate (Mar14) RPKM Log2" - ], + ], [ - "524", - "GTEx_Prost_0414", + "524", + "GTEx_Prost_0414", "GTEx Human Prostate (Apr14) RPKM" ] - ], + ], "Putamen mRNA": [ [ - "575", - "GTEx_log2_Putam_0314", + "575", + "GTEx_log2_Putam_0314", "GTEx Human Putamen (Mar14) RPKM Log2" - ], + ], [ - "525", - "GTEx_Putam_0414", + "525", + "GTEx_Putam_0414", "GTEx Human Putamen (Apr14) RPKM" ] - ], + ], "Skin - Not Sun Exposed (Suprapubic) mRNA": [ [ - "576", - "GTEx_log2_SkinN_0314", + "576", + "GTEx_log2_SkinN_0314", "GTEx Human Skin-Not Sun Exposed (Suprapubic) (Mar14) RPKM Log2" - ], + ], [ - "526", - "GTEx_SkinN_0414", + "526", + "GTEx_SkinN_0414", "GTEx Human Skin-Not Sun Exposed (Suprapubic) (Apr14) RPKM" ] - ], + ], "Skin - Sun Exposed (Lower leg) mRNA": [ [ - "577", - "GTEx_log2_SkinE_0314", + "577", + "GTEx_log2_SkinE_0314", "GTEx Human Skin-Sun Exposed (Lower leg) (Mar14) RPKM Log2" - ], + ], [ - "527", - "GTEx_SkinE_0414", + "527", + "GTEx_SkinE_0414", "GTEx Human Skin-Sun Exposed (Lower leg) (Apr14) RPKM" ] - ], + ], "Spinal Cord mRNA": [ [ - "578", - "GTEx_log2_Spina_0314", + "578", + "GTEx_log2_Spina_0314", "GTEx Human Spinal Cord (Mar14) RPKM Log2" - ], + ], [ - "528", - "GTEx_Spina_0414", + "528", + "GTEx_Spina_0414", "GTEx Human Spinal Cord (Apr14) RPKM" ] - ], + ], "Stomach mRNA": [ [ - "579", - "GTEx_log2_Stoma_0314", + "579", + "GTEx_log2_Stoma_0314", "GTEx Human Stomach (Mar14) RPKM Log2" - ], + ], [ - "529", - "GTEx_Stoma_0414", + "529", + "GTEx_Stoma_0414", "GTEx Human Stomach (Apr14) RPKM" ] - ], + ], "Substantia Nigra mRNA": [ [ - "581", - "GTEx_log2_Subst_0314", + "581", + "GTEx_log2_Subst_0314", "GTEx Human Substantia Nigra (Mar14) RPKM Log2" - ], + ], [ - "531", - "GTEx_Subst_0414", + "531", + "GTEx_Subst_0414", "GTEx Human Substantia Nigra (Apr14) RPKM" ] - ], + ], "Testis mRNA": [ [ - "582", - "GTEx_log2_Testi_0314", + "582", + "GTEx_log2_Testi_0314", "GTEx Human Testis (Mar14) RPKM Log2" - ], + ], [ - "532", - "GTEx_Testi_0414", + "532", + "GTEx_Testi_0414", "GTEx Human Testis (Apr14) RPKM" ] - ], + ], "Thyroid mRNA": [ [ - "583", - "GTEx_log2_Thyro_0314", + "583", + "GTEx_log2_Thyro_0314", "GTEx Human Thyroid (Mar14) RPKM Log2" - ], + ], [ - "533", - "GTEx_Thyro_0414", + "533", + "GTEx_Thyro_0414", "GTEx Human Thyroid (Apr14) RPKM" ] - ], + ], "Tibial mRNA": [ [ - "584", - "GTEx_log2_Tibial_0314", + "584", + "GTEx_log2_Tibial_0314", "GTEx Human Tibial (Mar14) RPKM Log2" - ], + ], [ - "534", - "GTEx_Tibia_0414", + "534", + "GTEx_Tibia_0414", "GTEx Human Tibial (Apr14) RPKM" ] - ], + ], "Uterus mRNA": [ [ - "585", - "GTEx_log2_Uterus_0314", + "585", + "GTEx_log2_Uterus_0314", "GTEx Human Uterus (Mar14) RPKM Log2" - ], + ], [ - "535", - "GTEx_Uteru_0414", + "535", + "GTEx_Uteru_0414", "GTEx Human Uterus (Apr14) RPKM" ] - ], + ], "Vagina mRNA": [ [ - "586", - "GTEx_log2_Vagin_0314", + "586", + "GTEx_log2_Vagin_0314", "GTEx Human Vagina (Mar14) RPKM Log2" - ], + ], [ - "536", - "GTEx_Vagin_0414", + "536", + "GTEx_Vagin_0414", "GTEx Human Vagina (Apr14) RPKM" ] - ], + ], "Whole Blood mRNA": [ [ - "588", - "GTEx_log2_WholeB_0314", + "588", + "GTEx_log2_WholeB_0314", "GTEx Human Whole Blood (Mar14) RPKM Log2" - ], + ], [ - "538", - "GTEx_Whole_0414", + "538", + "GTEx_Whole_0414", "GTEx Human Whole Blood (Apr14) RPKM" ] ] - }, + }, "GTEx_v5": { "Adipose tissue, subcutaneous mRNA": [ [ - "718", - "GTEXv5_AdipSub_0915", + "718", + "GTEXv5_AdipSub_0915", "GTEXv5 Human Adipose Subcutaneous RefSeq (Sep15) RPKM log2" ] - ], + ], "Adipose tissue, visceral mRNA": [ [ - "719", - "GTEXv5_AdiVis_0915", + "719", + "GTEXv5_AdiVis_0915", "GTEXv5 Human Adipose Visceral Omentum RefSeq (Sep15) RPKM log2" ] - ], + ], "Adrenal Gland mRNA": [ [ - "720", - "GTEXv5_AdrGla_0915", + "720", + "GTEXv5_AdrGla_0915", "GTEXv5 Human Adrenal Gland RefSeq (Sep15) RPKM log2" ] - ], + ], "Amygdala mRNA": [ [ - "725", - "GTEXv5_Amy_0915", + "725", + "GTEXv5_Amy_0915", "GTEXv5 Human Brain Amygdala RefSeq (Sep15) RPKM log2" ] - ], + ], "Anterior Cingulate Cortex mRNA": [ [ - "726", - "GTEXv5_AntCtx_0915", + "726", + "GTEXv5_AntCtx_0915", "GTEXv5 Human Brain Anterior Cingulate Cortex BA24 RefSeq (Sep15) RPKM log2" ] - ], + ], "Aorta mRNA": [ [ - "721", - "GTEXv5_ArtAor_0915", + "721", + "GTEXv5_ArtAor_0915", "GTEXv5 Human Artery Aorta RefSeq (Sep15) RPKM log2" ] - ], + ], "Bladder mRNA": [ [ - "724", - "GTEXv5_Bla_0915", + "724", + "GTEXv5_Bla_0915", "GTEXv5 Human Bladder RefSeq (Sep15) RPKM log2" ] - ], + ], "Bone Marrow mRNA": [ [ - "740", - "GTEXv5_BM_0915", + "740", + "GTEXv5_BM_0915", "GTEXv5 Human Cells-Leukemia Cell Line CML RefSeq (Sep15) RPKM log2" ] - ], + ], "Breast - Mammary Tissue mRNA": [ [ - "738", - "GTEXv5_BrMa_0915", + "738", + "GTEXv5_BrMa_0915", "GTEXv5 Human Breast Mammary Tissue RefSeq (Sep15) RPKM log2" ] - ], + ], "Caudate mRNA": [ [ - "727", - "GTEXv5_BrCa_0915", + "727", + "GTEXv5_BrCa_0915", "GTEXv5 Human Brain Caudate Basal Ganglia RefSeq (Sep15) RPKM log2" ] - ], + ], "Cells - EBV-Transformed Lymphocytes mRNA": [ [ - "739", - "GTEXv5_EBV_0915", + "739", + "GTEXv5_EBV_0915", "GTEXv5 Human Cells-EBV-Transformed Lymphocytes RefSeq (Sep15) RPKM log2" ] - ], + ], "Cells - Transformed Fibroblasts mRNA": [ [ - "741", - "GTEXv5_CTF_0915", + "741", + "GTEXv5_CTF_0915", "GTEXv5 Human Cells-Transformed Fibroblasts RefSeq (Sep15) RPKM log2" ] - ], + ], "Cerebellar Cortex mRNA": [ [ - "730", - "GTEXv5_BrCtx_0915", + "730", + "GTEXv5_BrCtx_0915", "GTEXv5 Human Brain Cortex RefSeq (Sep15) RPKM log2" ] - ], + ], "Cerebellar Hemisphere mRNA": [ [ - "728", - "GTEXv5_CerH_0915", + "728", + "GTEXv5_CerH_0915", "GTEXv5 Human Brain Cerebellar Hemisphere RefSeq (Sep15) RPKM log2" ] - ], + ], "Cerebellum mRNA": [ [ - "729", - "GTEXv5_BrCe_0915", + "729", + "GTEXv5_BrCe_0915", "GTEXv5 Human Brain Cerebellum RefSeq (Sep15) RPKM log2" ] - ], + ], "Cervix mRNA": [ [ - "742", - "GTEXv5_CerEct_0915", + "742", + "GTEXv5_CerEct_0915", "GTEXv5 Human Cervix-Ectocervix RefSeq (Sep15) RPKM log2" ] - ], + ], "Colon - Sigmoid mRNA": [ [ - "743", - "GTEXv5_ColSig_0915", + "743", + "GTEXv5_ColSig_0915", "GTEXv5 Human Colon-Sigmoid RefSeq (Sep15) RPKM log2" ] - ], + ], "Colon - Transverse mRNA": [ [ - "744", - "GTEXv5_ColTra_0915", + "744", + "GTEXv5_ColTra_0915", "GTEXv5 Human Colon-Transverse RefSeq (Sep15) RPKM log2" ] - ], + ], "Coronary mRNA": [ [ - "722", - "GTEXv5_ArtCor_0915", + "722", + "GTEXv5_ArtCor_0915", "GTEXv5 Human Artery Coronary RefSeq (Sep15) RPKM log2" ] - ], + ], "Esophagus - Gastroesophageal mRNA": [ [ - "745", - "GTEXv5_GastJun_0915", + "745", + "GTEXv5_GastJun_0915", "GTEXv5 Human Esophagus - Gastroesophageal Junction RefSeq (Sep15) RPKM log2" ] - ], + ], "Esophagus - Mucosa mRNA": [ [ - "746", - "GTEXv5_EsoMu_0915", + "746", + "GTEXv5_EsoMu_0915", "GTEXv5 Human Esophagus - Mucosa RefSeq (Sep15) RPKM log2" ] - ], + ], "Esophagus - Muscularis mRNA": [ [ - "747", - "GTEXv5_EsoMus_0915", + "747", + "GTEXv5_EsoMus_0915", "GTEXv5 Human Esophagus - Muscularis RefSeq (Sep15) RPKM log2" ] - ], + ], "Fallopian Tube mRNA": [ [ - "748", - "GTEXv5_Fatu_0915", + "748", + "GTEXv5_Fatu_0915", "GTEXv5 Human Fallopian Tube RefSeq (Sep15) RPKM log2" ] - ], + ], "Frontal Cortex mRNA": [ [ - "731", - "GTEXv5_BrFr_0915", + "731", + "GTEXv5_BrFr_0915", "GTEXv5 Human Brain Frontal Cortex BA9 RefSeq (Sep15) RPKM log2" ] - ], + ], "Heart - Atrial Appendage mRNA": [ [ - "749", - "GTEXv5_HAA_0915", + "749", + "GTEXv5_HAA_0915", "GTEXv5 Human Heart - Atrial Appendage RefSeq (Sep15) RPKM log2" ] - ], + ], "Heart - Left Ventricle mRNA": [ [ - "750", - "GTEXv5_LV_0915", + "750", + "GTEXv5_LV_0915", "GTEXv5 Human Heart - Left Ventricle RefSeq (Sep15) RPKM log2" ] - ], + ], "Hippocampus mRNA": [ [ - "732", - "GTEXv5_Hip_0915", + "732", + "GTEXv5_Hip_0915", "GTEXv5 Human Brain Hippocampus RefSeq (Sep15) RPKM log2" ] - ], + ], "Hypothalamus mRNA": [ [ - "733", - "GTEXv5_Hiptha_0915", + "733", + "GTEXv5_Hiptha_0915", "GTEXv5 Human Brain Hypothalamus RefSeq (Sep15) RPKM log2" ] - ], + ], "Kidney mRNA": [ [ - "751", - "GTEXv5_Kidn_0915", + "751", + "GTEXv5_Kidn_0915", "GTEXv5 Human Kidney - Cortex RefSeq (Sep15) RPKM log2" ] - ], + ], "Liver mRNA": [ [ - "752", - "GTEXv5_Liv_0915", + "752", + "GTEXv5_Liv_0915", "GTEXv5 Human Liver RefSeq (Sep15) RPKM log2" ] - ], + ], "Lung mRNA": [ [ - "753", - "GTEXv5_Lung_0915", + "753", + "GTEXv5_Lung_0915", "GTEXv5 Human Lung RefSeq (Sep15) RPKM log2" ] - ], + ], "Muscle mRNA": [ [ - "754", - "GTEXv5_MuSk_0915", + "754", + "GTEXv5_MuSk_0915", "GTEXv5 Human Muscle - Skeletal RefSeq (Sep15) RPKM log2" ] - ], + ], "Nerve - Tibial mRNA": [ [ - "755", - "GTEXv5_Tib_0915", + "755", + "GTEXv5_Tib_0915", "GTEXv5 Human Nerve - Tibial RefSeq (Sep15) RPKM log2" ] - ], + ], "Nucleus Accumbens mRNA": [ [ - "734", - "GTEXv5_NuAcc_0915", + "734", + "GTEXv5_NuAcc_0915", "GTEXv5 Human Brain Nucleus Accumbens Basal Ganglia RefSeq (Sep15) RPKM log2" ] - ], + ], "Ovary mRNA": [ [ - "756", - "GTEXv5_Ov_0915", + "756", + "GTEXv5_Ov_0915", "GTEXv5 Human Ovary RefSeq (Sep15) RPKM log2" ] - ], + ], "Pancreas mRNA": [ [ - "757", - "GTEXv5_Panc_0915", + "757", + "GTEXv5_Panc_0915", "GTEXv5 Human Pancreas RefSeq (Sep15) RPKM log2" ] - ], + ], "Phenotypes": [ [ - "None", - "GTEx_v5Publish", - "GTEx_v5 Published Phenotypes" + "None", + "GTEx_v5Publish", + "GTEx_v5 Phenotypes" ] - ], + ], "Pituitary Gland mRNA": [ [ - "758", - "GTEXv5_Pit_0915", + "758", + "GTEXv5_Pit_0915", "GTEXv5 Human Pituitary RefSeq (Sep15) RPKM log2" ] - ], + ], "Prostate mRNA": [ [ - "759", - "GTEXv5_Prost_0915", + "759", + "GTEXv5_Prost_0915", "GTEXv5 Human Prostate RefSeq (Sep15) RPKM log2" ] - ], + ], "Putamen mRNA": [ [ - "735", - "GTEXv5_PutB_0915", + "735", + "GTEXv5_PutB_0915", "GTEXv5 Human Brain Putamen Basal Ganglia RefSeq (Sep15) RPKM log2" ] - ], + ], "Salivary Gland mRNA": [ [ - "760", - "GTEXv5_SalGl_0915", + "760", + "GTEXv5_SalGl_0915", "GTEXv5 Human Salivary Gland Minor RefSeq (Sep15) RPKM log2" ] - ], + ], "Skin - Not Sun Exposed (Suprapubic) mRNA": [ [ - "761", - "GTEXv5_SkN_0915", + "761", + "GTEXv5_SkN_0915", "GTEXv5 Human Skin-Not Sun Exposed-Suprapubic RefSeq (Sep15) RPKM log2" ] - ], + ], "Skin - Sun Exposed (Lower leg) mRNA": [ [ - "762", - "GTEXv5_SkS_0915", + "762", + "GTEXv5_SkS_0915", "GTEXv5 Human Skin-Sun Exposed-Lower Leg RefSeq (Sep15) RPKM log2" ] - ], + ], "Small Intestine - Terminal Ileum mRNA": [ [ - "763", - "GTEXv5_SInt_0915", + "763", + "GTEXv5_SInt_0915", "GTEXv5 Human Small Intestine - Terminal Ileum RefSeq (Sep15) RPKM log2" ] - ], + ], "Spinal Cord mRNA": [ [ - "736", - "GTEXv5_SpCo_0915", + "736", + "GTEXv5_SpCo_0915", "GTEXv5 Human Brain Spinal Cord Cervical C-1 RefSeq (Sep15) RPKM log2" ] - ], + ], "Spleen mRNA": [ [ - "764", - "GTEXv5_Sple_0915", + "764", + "GTEXv5_Sple_0915", "GTEXv5 Human Spleen RefSeq (Sep15) RPKM log2" ] - ], + ], "Stomach mRNA": [ [ - "765", - "GTEXv5_Sto_0915", + "765", + "GTEXv5_Sto_0915", "GTEXv5 Human Stomach RefSeq (Sep15) RPKM log2" ] - ], + ], "Substantia Nigra mRNA": [ [ - "737", - "GTEXv5_SubN_0915", + "737", + "GTEXv5_SubN_0915", "GTEXv5 Human Brain Substantia Nigra RefSeq (Sep15) RPKM log2" ] - ], + ], "Testis mRNA": [ [ - "766", - "GTEXv5_Test_0915", + "766", + "GTEXv5_Test_0915", "GTEXv5 Human Testis RefSeq (Sep15) RPKM log2" ] - ], + ], "Thyroid mRNA": [ [ - "767", - "GTEXv5_Thy_0915", + "767", + "GTEXv5_Thy_0915", "GTEXv5 Human Thyroid RefSeq (Sep15) RPKM log2" ] - ], + ], "Tibial mRNA": [ [ - "723", - "GTEXv5_ArtTib_0915", + "723", + "GTEXv5_ArtTib_0915", "GTEXv5 Human Artery Tibial RefSeq (Sep15) RPKM log2" ] - ], + ], "Uterus mRNA": [ [ - "768", - "GTEXv5_Ut_0915", + "768", + "GTEXv5_Ut_0915", "GTEXv5 Human Uterus RefSeq (Sep15) RPKM log2" ] - ], + ], "Vagina mRNA": [ [ - "769", - "GTEXv5_Vag_0915", + "769", + "GTEXv5_Vag_0915", "GTEXv5 Human Vagina RefSeq (Sep15) RPKM log2" ] - ], + ], "Whole Blood mRNA": [ [ - "770", - "GTEXv5_Wbl_0915", + "770", + "GTEXv5_Wbl_0915", "GTEXv5 Human Whole Blood RefSeq (Sep15) RPKM log2" ] ] - }, + }, "HB": { "Cerebellum mRNA": [ [ - "326", - "HBTRC-MLC_0611", + "326", + "HBTRC-MLC_0611", "HBTRC-MLC Human Cerebellum Agilent (Jun11) mlratio" - ], + ], [ - "361", - "HBTRC-MLC_N_0611", + "361", + "HBTRC-MLC_N_0611", "HBTRC-MLC Human Cerebellum Agilent Normal (Jun11) mlratio" - ], + ], [ - "362", - "HBTRC-MLC_AD_0611", + "362", + "HBTRC-MLC_AD_0611", "HBTRC-MLC Human Cerebellum Agilent AD (Jun11) mlratio" - ], + ], [ - "363", - "HBTRC-MLC_HD_0611", + "363", + "HBTRC-MLC_HD_0611", "HBTRC-MLC Human Cerebellum Agilent HD (Jun11) mlratio" ] - ], + ], "Prefrontal Cortex mRNA": [ [ - "328", - "HBTRC-MLPFC_0611", + "328", + "HBTRC-MLPFC_0611", "HBTRC-MLC Human Prefrontal Cortex Agilent (Jun11) mlratio" - ], + ], [ - "367", - "HBTRC-MLPFC_N_0611", + "367", + "HBTRC-MLPFC_N_0611", "HBTRC-MLC Human Prefrontal Cortex Agilent Normal (Jun11) mlratio" - ], + ], [ - "368", - "HBTRC-MLPFC_AD_0611", + "368", + "HBTRC-MLPFC_AD_0611", "HBTRC-MLC Human Prefrontal Cortex Agilent AD (Jun11) mlratio" - ], + ], [ - "369", - "HBTRC-MLPFC_HD_0611", + "369", + "HBTRC-MLPFC_HD_0611", "HBTRC-MLC Human Prefrontal Cortex Agilent HD (Jun11) mlratio" ] - ], + ], "Primary Visual Cortex mRNA": [ [ - "327", - "HBTRC-MLVC_0611", + "327", + "HBTRC-MLVC_0611", "HBTRC-MLC Human Visual Cortex Agilent (Jun11) mlratio" - ], + ], [ - "364", - "HBTRC-MLVC_N_0611", + "364", + "HBTRC-MLVC_N_0611", "HBTRC-MLC Human Visual Cortex Agilent Normal (Jun11) mlratio" - ], + ], [ - "365", - "HBTRC-MLVC_AD_0611", + "365", + "HBTRC-MLVC_AD_0611", "HBTRC-MLC Human Visual Cortex Agilent AD (Jun11) mlratio" - ], + ], [ - "366", - "HBTRC-MLVC_HD_0611", + "366", + "HBTRC-MLVC_HD_0611", "HBTRC-MLC Human Visual Cortex Agilent HD (Jun11) mlratio" ] ] - }, + }, "HCP": { "Phenotypes": [ [ - "None", - "HCPPublish", - "HCP Published Phenotypes" + "None", + "HCPPublish", + "HCP Private Phenotypes" ] ] - }, + }, "HLC": { "Liver mRNA": [ [ - "320", - "HLC_0311", + "320", + "HLC_0311", "GSE9588 Human Liver Normal (Mar11) Both Sexes" - ], - [ - "383", - "HLCM_0311", - "GSE9588 Human Liver Normal (Mar11) Males" - ], + ], [ - "384", - "HLCF_0311", + "384", + "HLCF_0311", "GSE9588 Human Liver Normal (Mar11) Females" + ], + [ + "383", + "HLCM_0311", + "GSE9588 Human Liver Normal (Mar11) Males" ] - ], + ], "Phenotypes": [ [ - "635", - "HLCPublish", + "635", + "HLCPublish", "HLC Published Phenotypes" ] ] - }, + }, "HLT": { "Lung mRNA": [ [ - "455", - "GSE23546HLT0613", + "455", + "GSE23546HLT0613", "Super Series GSE23546 Whole-Genome GXD Non-Tumorous Human Lung Tissues Affy HuRSTA array (Jun11) RMA" - ], + ], [ - "454", - "GRNG-GSE23545HLT0613", + "454", + "GRNG-GSE23545HLT0613", "GRNG/GSE23545 Whole-Genome GXD Non-Tumorous Human Lung Tissues Affy HuRSTA array (Jun11) RMA" ] ] - }, + }, "HSB": { "Amygdala mRNA": [ [ - "330", - "KIN_YSM_AMY_0711", + "330", + "KIN_YSM_AMY_0711", "GN330 Human Amygdala Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Cerebellar Cortex mRNA": [ [ - "331", - "KIN_YSM_CBC_0711", + "331", + "KIN_YSM_CBC_0711", "Human Cerebellar Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Dorsolateral Prefrontal Cortex mRNA": [ [ - "333", - "KIN_YSM_DFC_0711", + "333", + "KIN_YSM_DFC_0711", "Human Dorsolateral Prefrontal Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Hippocampus mRNA": [ [ - "337", - "KIN_YSM_HIP_0711", + "337", + "KIN_YSM_HIP_0711", "Human Hippocampus Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Inferior Temporal Cortex mRNA": [ [ - "339", - "KIN_YSM_ITC_0711", + "339", + "KIN_YSM_ITC_0711", "Human Inferior Temporal Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Medial Prefrontal Cortex mRNA": [ [ - "343", - "KIN_YSM_MFC_0711", + "343", + "KIN_YSM_MFC_0711", "Human Medial Prefrontal Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Mediodorsal Nucleus of Thalamus mRNA": [ [ - "342", - "KIN_YSM_MD_0711", + "342", + "KIN_YSM_MD_0711", "Human Mediodorsal Nucleus of Thalamus Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Orbital Prefrontal Cortex mRNA": [ [ - "347", - "KIN_YSM_OFC_0711", + "347", + "KIN_YSM_OFC_0711", "Human Orbital Prefrontal Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Phenotypes": [ [ - "None", - "HSBPublish", + "None", + "HSBPublish", "HSB Published Phenotypes" ] - ], + ], "Posterior Inferior Parietal Cortex mRNA": [ [ - "338", - "KIN_YSM_IPC_0711", + "338", + "KIN_YSM_IPC_0711", "Human Posterior Inferior Parietal Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Posterior Superior Temporal Cortex mRNA": [ [ - "350", - "KIN_YSM_STC_0711", + "350", + "KIN_YSM_STC_0711", "Human Posterior Superior Temporal Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Primary Auditory (A1) Cortex mRNA": [ [ - "329", - "KIN_YSM_A1C_0711", + "329", + "KIN_YSM_A1C_0711", "Human Primary Auditory (A1) Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Primary Motor (M1) Cortex mRNA": [ [ - "341", - "KIN_YSM_M1C_0711", + "341", + "KIN_YSM_M1C_0711", "Human Primary Motor (M1) Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Primary Somatosensory (S1) Cortex mRNA": [ [ - "349", - "KIN_YSM_S1C_0711", + "349", + "KIN_YSM_S1C_0711", "Human Primary Somatosensory (S1) Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Primary Visual Cortex mRNA": [ [ - "354", - "KIN_YSM_V1C_0711", + "354", + "KIN_YSM_V1C_0711", "Human Primary Visual Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Striatum mRNA": [ [ - "351", - "KIN_YSM_STR_0711", + "351", + "KIN_YSM_STR_0711", "Human Striatum Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] - ], + ], "Ventrolateral Prefrontal Cortex mRNA": [ [ - "356", - "KIN_YSM_VFC_0711", + "356", + "KIN_YSM_VFC_0711", "Human Ventrolateral Prefrontal Cortex Affy Hu-Exon 1.0 ST (Jul11) Quantile" ] ] - }, + }, "Islets-Gerling": { "Phenotypes": [ [ - "None", - "Islets-GerlingPublish", - "Islets-Gerling Published Phenotypes" + "None", + "Islets-GerlingPublish", + "Islets-Gerling Phenotypes" ] ] - }, + }, "TIGEM-Retina-RNA-Seq": { "Phenotypes": [ [ - "None", - "TIGEM-Retina-RNA-SeqPublish", - "TIGEM-Retina-RNA-Seq Published Phenotypes" + "None", + "TIGEM-Retina-RNA-SeqPublish", + "TIGEM-Retina-RNA-Seq Phenotypes" ] - ], + ], "Retina mRNA": [ [ - "802", - "TIGEM_hg38_ret_rna-seq_0916", + "802", + "TIGEM_hg38_ret_rna-seq_0916", "TIGEM Human Retina RNA-Seq (Sep16) RPKM log2" ] ] } - }, + }, "mouse": { "AIL": { + "Genotypes": [ + [ + "None", + "AILGeno", + "AIL Genotypes" + ] + ], "Hippocampus mRNA": [ [ - "844", - "UCSD_AIL_HIP_RNA-Seq_0418", + "874", + "UCSD_AIL_HIP_RNA-Seq_log2_0418", + "UCSD AIL Hippocampus (Apr18) RNA-Seq Log2" + ], + [ + "844", + "UCSD_AIL_HIP_RNA-Seq_0418", "UCSD AIL Hippocampus (Apr18) RNA-Seq" ] - ], + ], "Phenotypes": [ [ - "None", - "AILPublish", - "AIL Published Phenotypes" + "653", + "AILPublish", + "AIL Phenotypes" ] - ], + ], "Prefrontal Cortex mRNA": [ [ - "846", - "UCSD_AIL_PFC_RNA-Seq_0418", + "876", + "UCSD_AIL_PFC_RNA-Seq_log2_0418", + "UCSD AIL Prefrontal Cortex (Apr18) RNA-Seq Log2" + ], + [ + "846", + "UCSD_AIL_PFC_RNA-Seq_0418", "UCSD AIL Prefrontal Cortex (Apr18) RNA-Seq" ] - ], + ], "Striatum mRNA": [ [ - "845", - "UCSD_AIL_STR_RNA-Seq_0418", + "875", + "UCSD_AIL_STR_RNA-Seq_log2_0418", + "UCSD AIL Striatum (Apr18) RNA-Seq Log2" + ], + [ + "845", + "UCSD_AIL_STR_RNA-Seq_0418", "UCSD AIL Striatum (Apr18) RNA-Seq" ] ] - }, + }, + "AIL-LGSM-F34-A": { + "Phenotypes": [ + [ + "655", + "AIL-LGSM-F34-APublish", + "AIL F34-A Phenotypes" + ] + ] + }, + "AIL-LGSM-F34-F39-43-GBS": { + "Phenotypes": [ + [ + "654", + "AIL-LGSM-F34-F39-43-GBSPublish", + "AIL F34-F39-43-GBS Phenotypes" + ] + ] + }, + "AIL-LGSM-F34-GBS": { + "Phenotypes": [ + [ + "656", + "AIL-LGSM-F34-GBSPublish", + "AIL F34-GBS Phenotypes" + ] + ] + }, + "AIL-LGSM-F39-43-GBS": { + "Phenotypes": [ + [ + "657", + "AIL-LGSM-F39-43-GBSPublish", + "AIL F39-43-GBS Phenotypes" + ] + ] + }, "AKXD": { "Genotypes": [ [ - "611", - "AKXDGeno", + "611", + "AKXDGeno", "AKXD Genotypes" ] - ], + ], "Mammary Tumors mRNA": [ [ - "224", - "NCI_Agil_Mam_Tum_RMA_0409", + "224", + "NCI_Agil_Mam_Tum_RMA_0409", "NCI Mammary LMT miRNA v2 (Apr09) RMA" - ], + ], [ - "36", - "MA_M_0704_M", + "36", + "MA_M_0704_M", "NCI Mammary mRNA M430 (July04) MAS5" - ], + ], [ - "37", - "MA_M_0704_R", + "37", + "MA_M_0704_R", "NCI Mammary mRNA M430 (July04) RMA" ] ] - }, + }, "AXBXA": { "Bone Femur mRNA": [ [ - "411", - "UCLA_AXB/BXA_Femur_0113_RSN", + "411", + "UCLA_AXB/BXA_Femur_0113_RSN", "UCLA GSE27483 AXB/BXA Bone Femur ILM Mouse WG-6 v1, v1.1 (Jan13) RSN" ] - ], + ], "Eye mRNA": [ [ - "210", - "Eye_AXBXA_1008_RankInv", + "210", + "Eye_AXBXA_1008_RankInv", "Eye AXBXA Illumina V6.2(Oct08) RankInv Beta" ] - ], + ], "Genotypes": [ [ - "636", - "AXBXAGeno", + "636", + "AXBXAGeno", "AXBXA Genotypes" ] - ], + ], "Heart mRNA": [ [ - "820", - "UCLA_AXB_BXA_Aor_Jan16", + "820", + "UCLA_AXB_BXA_Aor_Jan16", "UCLA AXB/BXA Aorta Affy M430 2.0 (Jan16) RMA" - ], + ], [ - "421", - "IRCM_AXBXA_HRI0213", + "421", + "IRCM_AXBXA_HRI0213", "IRCM AXB/BXA Mouse Heart ILM MouseRef-8 v2.0 (Feb13) RankInv" ] - ], + ], "Liver mRNA": [ [ - "822", - "UCLA_AXB_BXA_Liv_Jan16", + "822", + "UCLA_AXB_BXA_Liv_Jan16", "UCLA AXB/BXA Liver Affy M430 2.0 (Jan16) RMA" - ], + ], [ - "352", - "GSE16780AB_UCLA_ML0911", + "352", + "GSE16780AB_UCLA_ML0911", "GSE16780 UCLA Mouse AXB/BXA Liver Affy HT M430A (Sep11) RMA" ] - ], + ], "Phenotypes": [ [ - "629", - "AXBXAPublish", - "AXBXA Published Phenotypes" + "629", + "AXBXAPublish", + "AXB/BXA Published Phenotypes" ] ] - }, + }, "B6BTBRF2": { "Genotypes": [ [ - "618", - "B6BTBRF2Geno", + "618", + "B6BTBRF2Geno", "B6BTBRF2 Genotypes" ] - ], + ], "Liver mRNA": [ [ - "38", - "LVF2_M_0704_M", + "38", + "LVF2_M_0704_M", "(B6 x BTBR)F2-ob/ob Liver mRNA M430 (Jul04) MAS5" - ], + ], [ - "39", - "LVF2_M_0704_R", + "39", + "LVF2_M_0704_R", "(B6 x BTBR)F2-ob/ob Liver mRNA M430 (Jul04) RMA" ] - ], + ], "Phenotypes": [ [ - "603", - "B6BTBRF2Publish", + "603", + "B6BTBRF2Publish", "B6BTBRF2 Published Phenotypes" ] ] - }, + }, "B6D2": { "Phenotypes": [ [ - "None", - "B6D2Publish", - "B6D2 Published Phenotypes" + "None", + "B6D2Publish", + "UTHSC-Glaucoma-Aged-Retina Phenotypes" ] ] - }, + }, "B6D2F2": { "Brain mRNA": [ [ - "76", - "BRF2_M_0805_M", - "OHSU/VA B6D2F2 Brain mRNA M430 (Aug05) MAS5" - ], + "78", + "BRF2_M_0805_P", + "OHSU/VA B6D2F2 Brain mRNA M430 (Aug05) PDNN" + ], [ - "77", - "BRF2_M_0805_R", + "77", + "BRF2_M_0805_R", "OHSU/VA B6D2F2 Brain mRNA M430 (Aug05) RMA" - ], + ], [ - "78", - "BRF2_M_0805_P", - "OHSU/VA B6D2F2 Brain mRNA M430 (Aug05) PDNN" - ], + "76", + "BRF2_M_0805_M", + "OHSU/VA B6D2F2 Brain mRNA M430 (Aug05) MAS5" + ], [ - "33", - "BRF2_M_0304_P", + "33", + "BRF2_M_0304_P", "OHSU/VA B6D2F2 Brain mRNA M430A (Mar04) PDNN" - ], + ], [ - "31", - "BRF2_M_0304_M", + "31", + "BRF2_M_0304_M", "OHSU/VA B6D2F2 Brain mRNA M430A (Mar04) MAS5" - ], + ], [ - "32", - "BRF2_M_0304_R", + "32", + "BRF2_M_0304_R", "OHSU/VA B6D2F2 Brain mRNA M430A (Mar04) RMA" ] - ], + ], "Genotypes": [ [ - "637", - "B6D2F2Geno", + "637", + "B6D2F2Geno", "B6D2F2 Genotypes" ] ] - }, + }, "B6D2F2-PSU": { "Genotypes": [ [ - "617", - "B6D2F2-PSUGeno", + "617", + "B6D2F2-PSUGeno", "B6D2F2-PSU Genotypes" ] - ], + ], "Phenotypes": [ [ - "None", - "B6D2F2-PSUPublish", - "B6D2F2-PSU Published Phenotypes" + "None", + "B6D2F2-PSUPublish", + "B6D2F2 PSU Phenotypes" ] ] - }, + }, "B6D2RI": { "Hippocampus mRNA": [ [ - "712", - "UTHSC_BXDAged_0615", + "712", + "UTHSC_BXDAged_0615", "UTHSC BXD Aged Hippocampus Affy Mouse Gene 1.0 ST (Jun15) RMA" - ], + ], [ - "805", - "UTHSC_BXDAgedEx_1116", + "805", + "UTHSC_BXDAgedEx_1116", "UTHSC BXD Aged Hippocampus Affy Mouse Gene 1.0 ST (Jun15) Exon Level RMA" - ], + ], [ - "391", - "UTHSC_B6D2RI_H_0912", + "391", + "UTHSC_B6D2RI_H_0912", "UTHSC B6D2RI Aged Hippocampus Affy Mouse Gene 1.0 ST (Sep12) RMA" ] - ], + ], "Phenotypes": [ [ - "651", - "B6D2RIPublish", - "B6D2RI Published Phenotypes" + "651", + "B6D2RIPublish", + "B6D2RI Phenotypes" ] ] - }, + }, "BDF2-1999": { "Genotypes": [ [ - "None", - "BDF2-1999Geno", + "None", + "BDF2-1999Geno", "BDF2-1999 Genotypes" ] - ], + ], "Liver mRNA": [ [ - "169", - "UCLA_BDF2_LIVER_1999", + "169", + "UCLA_BDF2_LIVER_1999", "UCLA BDF2 Liver (1999) mlratio" ] ] - }, + }, "BDF2-2005": { "Genotypes": [ [ - "None", - "BDF2-2005Geno", + "None", + "BDF2-2005Geno", "BDF2-2005 Genotypes" ] - ], + ], "Striatum mRNA": [ [ - "83", - "SA_M2_0905_M", + "83", + "SA_M2_0905_M", "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) MAS5" - ], + ], [ - "84", - "SA_M2_0905_R", - "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) RMA" - ], - [ - "85", - "SA_M2_0905_P", + "85", + "SA_M2_0905_P", "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) PDNN" + ], + [ + "84", + "SA_M2_0905_R", + "OHSU/VA B6D2F2 Striatum M430v2 (Sep05) RMA" ] ] - }, + }, "BHF2": { "Adipose mRNA": [ [ - "196", - "UCLA_BHF2_ADIPOSE_MALE", - "UCLA BHF2 Adipose Male mlratio" - ], - [ - "197", - "UCLA_BHF2_ADIPOSE_FEMALE", + "197", + "UCLA_BHF2_ADIPOSE_FEMALE", "UCLA BHF2 Adipose Female mlratio" - ], + ], + [ + "196", + "UCLA_BHF2_ADIPOSE_MALE", + "UCLA BHF2 Adipose Male mlratio" + ], [ - "165", - "UCLA_BHF2_ADIPOSE_0605", + "165", + "UCLA_BHF2_ADIPOSE_0605", "UCLA BHF2 Adipose (June05) mlratio" ] - ], + ], "Brain mRNA": [ [ - "198", - "UCLA_BHF2_BRAIN_MALE", - "UCLA BHF2 Brain Male mlratio" - ], - [ - "199", - "UCLA_BHF2_BRAIN_FEMALE", + "199", + "UCLA_BHF2_BRAIN_FEMALE", "UCLA BHF2 Brain Female mlratio" - ], + ], [ - "166", - "UCLA_BHF2_BRAIN_0605", + "198", + "UCLA_BHF2_BRAIN_MALE", + "UCLA BHF2 Brain Male mlratio" + ], + [ + "166", + "UCLA_BHF2_BRAIN_0605", "UCLA BHF2 Brain (June05) mlratio" ] - ], + ], "Genotypes": [ [ - "None", - "BHF2Geno", + "None", + "BHF2Geno", "BHF2 Genotypes" ] - ], + ], "Liver mRNA": [ [ - "200", - "UCLA_BHF2_LIVER_MALE", - "UCLA BHF2 Liver Male mlratio" - ], - [ - "201", - "UCLA_BHF2_LIVER_FEMALE", + "201", + "UCLA_BHF2_LIVER_FEMALE", "UCLA BHF2 Liver Female mlratio" - ], + ], [ - "167", - "UCLA_BHF2_LIVER_0605", + "200", + "UCLA_BHF2_LIVER_MALE", + "UCLA BHF2 Liver Male mlratio" + ], + [ + "167", + "UCLA_BHF2_LIVER_0605", "UCLA BHF2 Liver (June05) mlratio" ] - ], + ], "Phenotypes": [ [ - "None", - "BHF2Publish", - "BHF2 Published Phenotypes" + "None", + "BHF2Publish", + "BHF2 Phenotypes" ] ] - }, + }, "BHHBF2": { "Adipose mRNA": [ [ - "174", - "UCLA_BHHBF2_ADIPOSE_2005", + "174", + "UCLA_BHHBF2_ADIPOSE_2005", "UCLA BHHBF2 Adipose (2005) mlratio" - ], + ], [ - "180", - "UCLA_BHHBF2_ADIPOSE_MALE", + "180", + "UCLA_BHHBF2_ADIPOSE_MALE", "UCLA BHHBF2 Adipose Male Only" - ], + ], [ - "181", - "UCLA_BHHBF2_ADIPOSE_FEMALE", + "181", + "UCLA_BHHBF2_ADIPOSE_FEMALE", "UCLA BHHBF2 Adipose Female Only" ] - ], + ], "Brain mRNA": [ [ - "175", - "UCLA_BHHBF2_BRAIN_2005", + "175", + "UCLA_BHHBF2_BRAIN_2005", "UCLA BHHBF2 Brain (2005) mlratio" - ], + ], [ - "182", - "UCLA_BHHBF2_BRAIN_MALE", + "182", + "UCLA_BHHBF2_BRAIN_MALE", "UCLA BHHBF2 Brain Male Only" - ], + ], [ - "183", - "UCLA_BHHBF2_BRAIN_FEMALE", + "183", + "UCLA_BHHBF2_BRAIN_FEMALE", "UCLA BHHBF2 Brain Female Only" ] - ], + ], "Genotypes": [ [ - "None", - "BHHBF2Geno", + "None", + "BHHBF2Geno", "BHHBF2 Genotypes" ] - ], + ], "Liver mRNA": [ [ - "176", - "UCLA_BHHBF2_LIVER_2005", + "176", + "UCLA_BHHBF2_LIVER_2005", "UCLA BHHBF2 Liver (2005) mlratio" - ], + ], [ - "184", - "UCLA_BHHBF2_LIVER_MALE", + "184", + "UCLA_BHHBF2_LIVER_MALE", "UCLA BHHBF2 Liver Male Only" - ], + ], [ - "185", - "UCLA_BHHBF2_LIVER_FEMALE", + "185", + "UCLA_BHHBF2_LIVER_FEMALE", "UCLA BHHBF2 Liver Female Only" ] - ], + ], "Muscle mRNA": [ [ - "177", - "UCLA_BHHBF2_MUSCLE_2005", + "177", + "UCLA_BHHBF2_MUSCLE_2005", "UCLA BHHBF2 Muscle (2005) mlratio" - ], + ], [ - "186", - "UCLA_BHHBF2_MUSCLE_MALE", + "186", + "UCLA_BHHBF2_MUSCLE_MALE", "UCLA BHHBF2 Muscle Male Only" - ], + ], [ - "187", - "UCLA_BHHBF2_MUSCLE_FEMALE", + "187", + "UCLA_BHHBF2_MUSCLE_FEMALE", "UCLA BHHBF2 Muscle Female Only" ] ] - }, + }, "BXD": { "Adipose Proteome": [ [ - "797", - "EPFL_AdiPro0416", + "797", + "EPFL_AdiPro0416", "EPFL/ETHZ BXD Brown Adipose, Total Tissue Proteome, Chow Diet (Apr16) Light SWATH" - ], + ], [ - "798", - "EPFL_AdiMitPro0416", + "798", + "EPFL_AdiMitPro0416", "EPFL/ETHZ BXD Brown Adipose, Isolated Mitochondria Proteome, Chow Diet (Apr16) Light SWATH" ] - ], + ], "Adipose mRNA": [ [ - "469", - "EPFLADGL1013", + "469", + "EPFLADGL1013", "EPFL/LISP BXD CD Brown Adipose Affy Mouse Gene 2.0 ST Gene Level (Oct13) RMA" - ], + ], [ - "470", - "EPFLADEL1013", + "470", + "EPFLADEL1013", "EPFL/LISP BXD CD Brown Adipose Affy Mouse Gene 2.0 ST Exon Level (Oct13) RMA" - ], + ], [ - "777", - "EL_BXDCDHFDScWAT_0216", + "777", + "EL_BXDCDHFDScWAT_0216", "EPFL/LISP BXD CD+HFD Subcutaneous WAT Affy MTA 1.0 Gene Level (Feb16) RMA" - ], + ], [ - "778", - "EL_BXDHFDScWAT_0216", + "778", + "EL_BXDHFDScWAT_0216", "EPFL/LISP BXD HFD Subcutaneous WAT Affy MTA 1.0 Gene Level (Feb16) RMA" - ], + ], [ - "779", - "EL_BXDCDScWAT_0216", - "EPFL/LISP BXD CD Subcutaneous WAT Affy MTA 1.0 Gene Level (Feb16) RMA **" + "779", + "EL_BXDCDScWAT_0216", + "EPFL/LISP BXD CD Subcutaneous WAT Affy MTA 1.0 Gene Level (Feb16) RMA" ] - ], + ], "Adrenal Gland mRNA": [ [ - "388", - "INIA_Adrenal_RMA_0612", + "388", + "INIA_Adrenal_RMA_0612", "INIA Adrenal Affy MoGene 1.0ST (Jun12) RMA" - ], + ], [ - "426", - "INIA_Adrenal_RMA_F_0612", + "426", + "INIA_Adrenal_RMA_F_0612", "INIA Adrenal Affy MoGene 1.0ST (Jun12) RMA Females" - ], + ], [ - "425", - "INIA_Adrenal_RMA_M_0612", + "425", + "INIA_Adrenal_RMA_M_0612", "INIA Adrenal Affy MoGene 1.0ST (Jun12) RMA Males" - ], + ], [ - "334", - "INIA_Adrenal_RMA_Ex_0612", + "334", + "INIA_Adrenal_RMA_Ex_0612", "INIA Adrenal Affy MoGene 1.0ST (Jun12) RMA Exon Level" ] - ], + ], "Amygdala mRNA": [ [ - "323", - "INIA_AmgCoh_0311", + "323", + "INIA_AmgCoh_0311", "INIA Amygdala Cohort Affy MoGene 1.0 ST (Mar11) RMA" - ], + ], [ - "280", - "INIA_Amg_BLA_RMA_1110", + "280", + "INIA_Amg_BLA_RMA_1110", "INIA Amygdala Affy MoGene 1.0 ST (Nov10) RMA" - ], + ], [ - "316", - "INIA_Amg_BLA_RMA_M_1110", + "316", + "INIA_Amg_BLA_RMA_M_1110", "INIA Amygdala Affy MoGene 1.0 ST (Nov10) RMA Male" - ], + ], [ - "315", - "INIA_Amg_BLA_RMA_F_1110", + "315", + "INIA_Amg_BLA_RMA_F_1110", "INIA Amygdala Affy MoGene 1.0 ST (Nov10) RMA Female" - ], + ], [ - "158", - "INIA_Amg_BLA_Ex-RMA_1110", + "158", + "INIA_Amg_BLA_Ex-RMA_1110", "INIA Amygdala Exon Affy MoGene 1.0 ST (Nov10) RMA" ] - ], + ], "Bone Femur mRNA": [ [ - "410", - "UCLA_BXD_Femur_0113_RSN", + "410", + "UCLA_BXD_Femur_0113_RSN", "UCLA GSE27483 BXD Bone Femur ILM Mouse WG-6 v1, v1.1 (Jan13) RSN" - ], + ], [ - "414", - "UCLA_BXD-on_Femur_0113_RSN", + "414", + "UCLA_BXD-on_Femur_0113_RSN", "UCLA GSE27483 BXD Only Bone Femur ILM Mouse WG-6 v1.1 (Jan13) RSN" ] - ], + ], "Brain mRNA": [ [ - "164", - "UTHSC_BXD_WB_RNASeq1112", + "164", + "UTHSC_BXD_WB_RNASeq1112", "UTHSC Mouse BXD Whole Brain RNA Sequence (Nov12) RPKM Untrimmed" - ], + ], [ - "590", - "UTHSC_BXD_WB_RNASeqtrim1_1112", + "590", + "UTHSC_BXD_WB_RNASeqtrim1_1112", "UTHSC Mouse BXD Whole Brain RNA Sequence (Nov12) RPKM Trimmed 1.0" - ], + ], [ - "394", - "UTHSC_BXD_WB_RNASeqEx1112", + "394", + "UTHSC_BXD_WB_RNASeqEx1112", "UTHSC Mouse BXD Whole Brain RNA Sequence Exon Level (Nov12) RPKM" - ], + ], [ - "123", - "BR_M2_1106_R", + "123", + "BR_M2_1106_R", "UCHSC BXD Whole Brain M430 2.0 (Nov06) RMA" - ], + ], [ - "113", - "IBR_M_0606_R", + "113", + "IBR_M_0606_R", "INIA Brain mRNA M430 (Jun06) RMA" - ], + ], [ - "101", - "IBR_M_0106_P", + "101", + "IBR_M_0106_P", "INIA Brain mRNA M430 (Jan06) PDNN" - ], + ], [ - "102", - "IBR_M_0106_R", + "102", + "IBR_M_0106_R", "INIA Brain mRNA M430 (Jan06) RMA" - ], + ], [ - "95", - "BR_U_1105_P", + "95", + "BR_U_1105_P", "UTHSC Brain mRNA U74Av2 (Nov05) PDNN" - ], + ], [ - "80", - "BR_U_0805_M", - "UTHSC Brain mRNA U74Av2 (Aug05) MAS5" - ], - [ - "81", - "BR_U_0805_P", + "81", + "BR_U_0805_P", "UTHSC Brain mRNA U74Av2 (Aug05) PDNN" - ], + ], + [ + "80", + "BR_U_0805_M", + "UTHSC Brain mRNA U74Av2 (Aug05) MAS5" + ], [ - "82", - "BR_U_0805_R", + "82", + "BR_U_0805_R", "UTHSC Brain mRNA U74Av2 (Aug05) RMA" - ], + ], [ - "42", - "CB_M_0204_P", + "42", + "CB_M_0204_P", "INIA Brain mRNA M430 (Feb04) PDNN" ] - ], + ], "Cartilage mRNA": [ [ - "208", - "UCLA_BXDBXH_CARTILAGE_V2", + "208", + "UCLA_BXDBXH_CARTILAGE_V2", "UCLA BXD and BXH Cartilage v2" - ], + ], [ - "204", - "UCLA_BXDBXH_CARTILAGE", + "204", + "UCLA_BXDBXH_CARTILAGE", "UCLA BXD and BXH Cartilage" - ], + ], [ - "178", - "UCLA_BXD_CARTILAGE", + "178", + "UCLA_BXD_CARTILAGE", "UCLA BXD Cartilage" ] - ], + ], "Cerebellum mRNA": [ [ - "72", - "GCB_M2_0505_R", + "72", + "GCB_M2_0505_R", "GE-NIAAA Cerebellum mRNA M430v2 (May05) RMA" - ], + ], [ - "73", - "GCB_M2_0505_P", + "73", + "GCB_M2_0505_P", "GE-NIAAA Cerebellum mRNA M430v2 (May05) PDNN" - ], + ], [ - "71", - "GCB_M2_0505_M", + "71", + "GCB_M2_0505_M", "GE-NIAAA Cerebellum mRNA M430v2 (May05) MAS5" - ], + ], [ - "56", - "CB_M_0305_R", + "56", + "CB_M_0305_R", "SJUT Cerebellum mRNA M430 (Mar05) RMA" - ], + ], [ - "55", - "CB_M_0305_P", + "55", + "CB_M_0305_P", "SJUT Cerebellum mRNA M430 (Mar05) PDNN" - ], + ], [ - "54", - "CB_M_0305_M", + "54", + "CB_M_0305_M", "SJUT Cerebellum mRNA M430 (Mar05) MAS5" - ], + ], [ - "46", - "CB_M_1004_R", + "46", + "CB_M_1004_R", "SJUT Cerebellum mRNA M430 (Oct04) RMA" - ], + ], [ - "45", - "CB_M_1004_P", + "45", + "CB_M_1004_P", "SJUT Cerebellum mRNA M430 (Oct04) PDNN" - ], + ], [ - "44", - "CB_M_1004_M", + "44", + "CB_M_1004_M", "SJUT Cerebellum mRNA M430 (Oct04) MAS5" - ], + ], [ - "9", - "CB_M_1003_M", + "9", + "CB_M_1003_M", "SJUT Cerebellum mRNA M430 (Oct03) MAS5" ] - ], + ], "Eye mRNA": [ [ - "207", - "Eye_M2_0908_R", + "207", + "Eye_M2_0908_R", "Eye M430v2 (Sep08) RMA" - ], + ], [ - "10", - "gn10", + "10", + "gn10", "Eye M430v2 No Mutant/Mutant (Aug12) RMA" - ], + ], [ - "261", - "Eye_M2_0908_R_NB", + "261", + "Eye_M2_0908_R_NB", "Eye M430v2 Mutant Gpnmb (Sep08) RMA" - ], + ], [ - "262", - "Eye_M2_0908_R_ND", + "262", + "Eye_M2_0908_R_ND", "Eye M430v2 WT Gpnmb (Sep08) RMA" - ], + ], [ - "278", - "Eye_M2_0908_R_MT", - "Eye M430v2 Mutant Tyrp1 (Sep08) RMA" - ], + "382", + "Eye_M2_0908_WTWT", + "Eye M430v2 WT WT (Sep08) RMA" + ], [ - "279", - "Eye_M2_0908_R_WT", + "279", + "Eye_M2_0908_R_WT", "Eye M430v2 WT Tyrp1 (Sep08) RMA" - ], + ], [ - "382", - "Eye_M2_0908_WTWT", - "Eye M430v2 WT WT (Sep08) RMA" - ], + "278", + "Eye_M2_0908_R_MT", + "Eye M430v2 Mutant Tyrp1 (Sep08) RMA" + ], [ - "400", - "DBA2J-ONH-1212", + "400", + "DBA2J-ONH-1212", "Howell et al. 2011, DBA/2J Glaucoma Optic Nerve Head M430 2.0 (Dec12) RMA" - ], + ], [ - "360", - "BXD_GLA_0911", + "360", + "BXD_GLA_0911", "Howell et al. 2011, DBA/2J Glaucoma Retina M430 2.0 (Sep11) RMA" ] - ], + ], "Fecal Metabolome": [ [ - "717", - "RTI_RCMRC-BXDFecMetlog0814", + "717", + "RTI_RCMRC-BXDFecMetlog0814", "RTI RCMRC BXD Fecal Metabolites CD+HFD (Aug14) Log2" - ], + ], [ - "716", - "RTI_RCMRC-BXDFecMetHFlog0814", + "716", + "RTI_RCMRC-BXDFecMetHFlog0814", "RTI RCMRC BXD Fecal Metabolites HFD (Aug14) Log2" - ], + ], [ - "715", - "RTI_RCMRC-BXDFecMetLFlog0814", + "715", + "RTI_RCMRC-BXDFecMetLFlog0814", "RTI RCMRC BXD Fecal Metabolites CD (Aug14) Log2" ] - ], + ], "Gastrointestinal mRNA": [ [ - "539", - "UTHSC_GutGL_0414", + "539", + "UTHSC_GutGL_0414", "UTHSC Mouse BXD Gastrointestinal Affy MoGene 1.0 ST Gene Level (Apr14) RMA" - ], + ], [ - "597", - "UTHSC_GutExL_0414", + "597", + "UTHSC_GutExL_0414", "UTHSC Mouse BXD Gastrointestinal Affy MoGene 1.0 ST Exon Level (Apr14) RMA" ] - ], + ], "Genotypes": [ [ - "600", - "BXDGeno", + "600", + "BXDGeno", "BXD Genotypes" ] - ], + ], "Heart mRNA": [ [ - "819", - "UCLA_BXD_Aor_Jan16", + "819", + "UCLA_BXD_Aor_Jan16", "UCLA BXD Aorta Affy M430 2.0 (Jan16) RMA" - ], + ], [ - "485", - "EPFL-LISPBXDHeCD0114", + "485", + "EPFL-LISPBXDHeCD0114", "EPFL/LISP BXD CD Heart Affy Mouse Gene 2.0 ST Gene Level (Jan14) RMA" - ], + ], [ - "486", - "EPFL-LISPBXDHeHFD0114", + "486", + "EPFL-LISPBXDHeHFD0114", "EPFL/LISP BXD HFD Heart Affy Mouse Gene 2.0 ST Gene Level (Jan14) RMA" - ], + ], [ - "487", - "EPFL-LISPBXDHeCDEx0114", + "487", + "EPFL-LISPBXDHeCDEx0114", "EPFL/LISP BXD CD Heart Affy Mouse Gene 2.0 ST Exon Level (Jan14) RMA" - ], + ], [ - "488", - "EPFL-LISPBXDHeHFDEx0114", + "488", + "EPFL-LISPBXDHeHFDEx0114", "EPFL/LISP BXD HFD Heart Affy Mouse Gene 2.0 ST Exon Level (Jan14) RMA" ] - ], + ], "Hematopoietic Cells mRNA": [ [ - "149", - "UMCG_0907_HemaStem_ori", + "149", + "UMCG_0907_HemaStem_ori", "UMCG Stem Cells ILM6v1.1 (Apr09) original" - ], + ], [ - "145", - "UMCG_0907_HemaStem", + "145", + "UMCG_0907_HemaStem", "UMCG Stem Cells ILM6v1.1 (Apr09) transformed" - ], + ], [ - "151", - "UMCG_0907_Pro_ori", + "151", + "UMCG_0907_Pro_ori", "UMCG Progenitor Cells ILM6v1.1 (Apr09) original" - ], + ], [ - "147", - "UMCG_0907_Pro", + "147", + "UMCG_0907_Pro", "UMCG Progenitor Cells ILM6v1.1 (Apr09) transformed" - ], + ], [ - "150", - "UMCG_0907_Eryth_ori", + "150", + "UMCG_0907_Eryth_ori", "UMCG Erythroid Cells ILM6v1.1 (Apr09) original" - ], + ], [ - "146", - "UMCG_0907_Eryth", + "146", + "UMCG_0907_Eryth", "UMCG Erythroid Cells ILM6v1.1 (Apr09) transformed" - ], + ], [ - "148", - "UMCG_0907_Myeloid_ori", + "148", + "UMCG_0907_Myeloid_ori", "UMCG Myeloid Cells ILM6v1.1 (Apr09) original" - ], + ], [ - "144", - "UMCG_0907_Myeloid", + "144", + "UMCG_0907_Myeloid", "UMCG Myeloid Cells ILM6v1.1 (Apr09) transformed" - ], + ], [ - "7", - "HC_U_0304_R", + "7", + "HC_U_0304_R", "GNF Stem Cells U74Av2 (Mar04) RMA" ] - ], + ], "Hippocampal Precursor Cells mRNA": [ [ - "706", - "CRTD_HipPreCell1214", + "706", + "CRTD_HipPreCell1214", "CRTD BXD Hippocampal Precursor Cells ILM MouseWG-6_R13 (Dec14) Quantile" ] - ], + ], "Hippocampus mRNA": [ [ - "112", - "HC_M2_0606_P", + "112", + "HC_M2_0606_P", "Hippocampus Consortium M430v2 (Jun06) PDNN" - ], + ], [ - "111", - "HC_M2_0606_M", + "111", + "HC_M2_0606_M", "Hippocampus Consortium M430v2 (Jun06) MAS5" - ], + ], [ - "110", - "HC_M2_0606_R", + "110", + "HC_M2_0606_R", "Hippocampus Consortium M430v2 (Jun06) RMA" - ], + ], [ - "206", - "UMUTAffyExon_0209_RMA", + "206", + "UMUTAffyExon_0209_RMA", "UMUTAffy Hippocampus Exon (Feb09) RMA" - ], + ], [ - "814", - "UTHSC_ILM_BXD_hipp_NOSb_0217", + "814", + "UTHSC_ILM_BXD_hipp_NOSb_0217", "UTHSC BXD Hippocampus ILM v6.1 NOS Balanced (Feb17) RankInv" - ], + ], [ - "815", - "UTHSC_ILM_BXD_hipp_NOEb_0217", + "815", + "UTHSC_ILM_BXD_hipp_NOEb_0217", "UTHSC BXD Hippocampus ILM v6.1 NOE Balanced (Feb17) RankInv" - ], + ], [ - "816", - "UTHSC_ILM_BXD_hipp_RSSb_0217", + "816", + "UTHSC_ILM_BXD_hipp_RSSb_0217", "UTHSC BXD Hippocampus ILM v6.1 RSS Balanced (Feb17) RankInv" - ], + ], [ - "817", - "UTHSC_ILM_BXD_hipp_RSEb_0217", + "817", + "UTHSC_ILM_BXD_hipp_RSEb_0217", "UTHSC BXD Hippocampus ILM v6.1 RSE Balanced (Feb17) RankInv" - ], + ], [ - "780", - "UTHSC_ILM_BXD_hipp_NOEb_0216", + "780", + "UTHSC_ILM_BXD_hipp_NOEb_0216", "UTHSC BXD Hippocampus ILM v6.1 NOE Balanced (Feb16) RankInv" - ], + ], [ - "781", - "UTHSC_ILM_BXD_hipp_RSEb_0216", + "781", + "UTHSC_ILM_BXD_hipp_RSEb_0216", "UTHSC BXD Hippocampus ILM v6.1 RSE Balanced (Feb16) RankInv" - ], + ], [ - "782", - "UTHSC_ILM_BXD_hipp_RSSb_0216", + "782", + "UTHSC_ILM_BXD_hipp_RSSb_0216", "UTHSC BXD Hippocampus ILM v6.1 RSS Balanced (Feb16) RankInv" - ], + ], [ - "291", - "UT_ILM_BXD_hipp_5T_1112", + "291", + "UT_ILM_BXD_hipp_5T_1112", "UTHSC Hippocampus Illumina v6.1 All Combined (Nov12) RankInv" - ], + ], [ - "292", - "UT_ILM_BXD_hipp_NON_1112", + "292", + "UT_ILM_BXD_hipp_NON_1112", "UTHSC Hippocampus Illumina v6.1 NON (Nov12) RankInv" - ], + ], [ - "293", - "UT_ILM_BXD_hipp_NOS_1112", + "293", + "UT_ILM_BXD_hipp_NOS_1112", "UTHSC Hippocampus Illumina v6.1 NOS (Nov12) RankInv" - ], + ], [ - "294", - "UT_ILM_BXD_hipp_NOE_1112", + "294", + "UT_ILM_BXD_hipp_NOE_1112", "UTHSC Hippocampus Illumina v6.1 NOE (Nov12) RankInv" - ], + ], [ - "295", - "UT_ILM_BXD_hipp_RSS_1112", + "295", + "UT_ILM_BXD_hipp_RSS_1112", "UTHSC Hippocampus Illumina v6.1 RSS (Nov12) RankInv" - ], + ], [ - "296", - "UT_ILM_BXD_hipp_RSE_1112", + "296", + "UT_ILM_BXD_hipp_RSE_1112", "UTHSC Hippocampus Illumina v6.1 RSE (Nov12) RankInv" - ], + ], [ - "242", - "UT_ILM_BXD_hipp_NON_0909", + "242", + "UT_ILM_BXD_hipp_NON_0909", "UTHSC Hippocampus Illumina v6.1 NON (Sep09) RankInv" - ], + ], [ - "243", - "UT_ILM_BXD_hipp_NOS_0909", + "243", + "UT_ILM_BXD_hipp_NOS_0909", "UTHSC Hippocampus Illumina v6.1 NOS (Sep09) RankInv" - ], + ], [ - "246", - "UT_ILM_BXD_hipp_NOE_0909", + "246", + "UT_ILM_BXD_hipp_NOE_0909", "UTHSC Hippocampus Illumina v6.1 NOE (Sep09) RankInv" - ], + ], [ - "244", - "UT_ILM_BXD_hipp_RSS_0909", + "244", + "UT_ILM_BXD_hipp_RSS_0909", "UTHSC Hippocampus Illumina v6.1 RSS (Sep09) RankInv" - ], + ], [ - "245", - "UT_ILM_BXD_hipp_RSE_0909", + "245", + "UT_ILM_BXD_hipp_RSE_0909", "UTHSC Hippocampus Illumina v6.1 RSE (Sep09) RankInv" + ], + [ + "711", + "UTHSC_BXD_AgeHipp0515", + "UTHSC BXD Aged Hippocampus Affy MoGene1.0 ST (May15) RMA Gene Level" ] - ], + ], "Hypothalamus mRNA": [ [ - "281", - "INIA_Hyp_RMA_1110", + "281", + "INIA_Hyp_RMA_1110", "INIA Hypothalamus Affy MoGene 1.0 ST (Nov10)" - ], + ], [ - "318", - "INIA_Hyp_M_RMA_1110", + "318", + "INIA_Hyp_M_RMA_1110", "INIA Hypothalamus Affy MoGene 1.0 ST (Nov10) Male" - ], + ], [ - "317", - "INIA_Hyp_F_RMA_1110", + "317", + "INIA_Hyp_F_RMA_1110", "INIA Hypothalamus Affy MoGene 1.0 ST (Nov10) Female" - ], + ], [ - "459", - "INIA_Hyp_PCA_0813_v4", + "459", + "INIA_Hyp_PCA_0813_v4", "INIA Hypothalamus Affy MoGene 1.0 ST (Nov10) PCA Test v080913" - ], + ], [ - "458", - "INIA_Hyp_PCA_0813_v3", + "458", + "INIA_Hyp_PCA_0813_v3", "INIA Hypothalamus Affy MoGene 1.0 ST (Nov10) PCA Test v080813" - ], + ], [ - "457", - "INIA_Hyp_PCA_0813_v2", + "457", + "INIA_Hyp_PCA_0813_v2", "INIA Hypothalamus Affy MoGene 1.0 ST (Nov10) PCA Test v080513" - ], + ], [ - "456", - "INIA_Hyp_PCA_0813", + "456", + "INIA_Hyp_PCA_0813", "INIA Hypothalamus Affy MoGene 1.0 ST (Nov10) PCA Test v080213" - ], + ], [ - "159", - "INIA_Hyp_RMA_Ex-1110", + "159", + "INIA_Hyp_RMA_Ex-1110", "INIA Hypothalamus Exon Affy MoGene 1.0 ST (Nov10)" ] - ], + ], "Kidney mRNA": [ [ - "239", - "MA_M2F_0706_R", - "Mouse kidney M430v2 Female (Aug06) RMA" - ], - [ - "240", - "MA_M2M_0706_R", + "240", + "MA_M2M_0706_R", "Mouse kidney M430v2 Male (Aug06) RMA" - ], + ], [ - "118", - "MA_M2_0806_R", + "239", + "MA_M2F_0706_R", + "Mouse kidney M430v2 Female (Aug06) RMA" + ], + [ + "118", + "MA_M2_0806_R", "Mouse kidney M430v2 Sex Balanced (Aug06) RMA" - ], + ], [ - "117", - "MA_M2_0806_P", + "117", + "MA_M2_0806_P", "Mouse Kidney M430v2 Sex Balanced (Aug06) PDNN" - ], + ], [ - "115", - "MA_M2_0706_R", + "115", + "MA_M2_0706_R", "Mouse Kidney M430v2 (Jul06) RMA" - ], + ], [ - "116", - "MA_M2_0706_P", + "116", + "MA_M2_0706_P", "Mouse Kidney M430v2 (Jul06) PDNN" ] - ], + ], "Liver Metabolome": [ [ - "473", - "EPFL-LISP_LivPMetCDHFD1213", + "835", + "UTHSC-ETHZ-EPFL_LivPMetExtACD0817", + "UTHSC/ETHZ/EPFL BXD Liver Polar Metabolites Extraction, Chow Diet Cohorts (Jul 2017) log2" + ], + [ + "836", + "UTHSC-ETHZ-EPFL_LivPMetExtAHFD0817", + "UTHSC/ETHZ/EPFL BXD Liver Polar Metabolites Extraction, HFD Cohorts (Jul 2017) log2" + ], + [ + "473", + "EPFL-LISP_LivPMetCDHFD1213", "EPFL/LISP BXD Liver Polar Metabolites CD+HFD (Jun14)" - ], + ], [ - "474", - "EPFL-LISP_LivPMetHFD1213", + "474", + "EPFL-LISP_LivPMetHFD1213", "EPFL/LISP BXD Liver Polar Metabolites HFD (Jun14)" - ], + ], [ - "475", - "EPFL-LISP_LivPMetCD1213", + "475", + "EPFL-LISP_LivPMetCD1213", "EPFL/LISP BXD Liver Polar Metabolites CD (Jun14)" - ], + ], [ - "713", - "EPFL-LISP_LivPMetlog2HFD1213", + "713", + "EPFL-LISP_LivPMetlog2HFD1213", "EPFL/LISP BXD Liver Polar Metabolites HFD (Jun14) Log2" - ], + ], [ - "714", - "EPFL-LISP_LivPMetlog2CD1213", + "714", + "EPFL-LISP_LivPMetlog2CD1213", "EPFL/LISP BXD Liver Polar Metabolites CD (Jun14) Log2" ] - ], + ], "Liver Proteome": [ [ - "540", - "EPFLETHZBXDprotCD0514", + "540", + "EPFLETHZBXDprotCD0514", "EPFL/ETHZ BXD Liver, Chow Diet (Jun16) Top100 SWATH" - ], + ], [ - "541", - "EPFLETHZBXDprotHFD0514", + "541", + "EPFLETHZBXDprotHFD0514", "EPFL/ETHZ BXD Liver, High Fat Diet (Jun16) Top100 SWATH" - ], + ], [ - "704", - "EPFLETHZBXDprotCD_LS1114", + "704", + "EPFLETHZBXDprotCD_LS1114", "EPFL/ETHZ BXD Liver, Chow Diet (Oct14) Top10 SWATH" - ], + ], [ - "705", - "EPFLETHZBXDprotHF_LS1114", + "705", + "EPFLETHZBXDprotHF_LS1114", "EPFL/ETHZ BXD Liver, High Fat Diet Diet (Oct14) Top10 SWATH" - ], + ], [ - "703", - "EPFLBXDprotCD-CDHFDRPN0214", + "703", + "EPFLBXDprotCD-CDHFDRPN0214", "EPFL/LISP BXD Liver, Soluble Proteins CD+HFD (Feb14) SRM" - ], + ], [ - "490", - "EPFLBXDprotCDRPN0214", + "490", + "EPFLBXDprotCDRPN0214", "EPFL/LISP BXD Liver, Soluble Proteins CD (Feb14) SRM" - ], + ], [ - "489", - "EPFLBXDprotHFDRPN0214", + "489", + "EPFLBXDprotHFDRPN0214", "EPFL/LISP BXD Liver, Soluble Proteins HFD (Feb14) SRM" ] - ], + ], "Liver mRNA": [ [ - "852", - "NIA-AgBXD-Liv_HFD-0818", - "NIA Aging BXD HFD Liver Affy Clariom S Gene Level (Aug18) RMA **" - ], - [ - "857", - "EPFLMouseLiverCDHFDRMA0818", + "857", + "EPFLMouseLiverCDHFDRMA0818", "EPFL/LISP BXD CD+HFD Liver Affy Mouse Gene 1.0 ST (Aug18) RMA" - ], + ], [ - "859", - "EPFLMouseLiverCDRMA0818", + "858", + "EPFLMouseLiverHFDRMA0818", + "EPFL/LISP BXD HFD Liver Affy Mouse Gene 1.0 ST (Aug18) RMA" + ], + [ + "859", + "EPFLMouseLiverCDRMA0818", "EPFL/LISP BXD CD Liver Affy Mouse Gene 1.0 ST (Aug18) RMA" - ], + ], [ - "851", - "NIA-AgBXD-Liv_CDHFD-0818", - "NIA Aging BXD CD+HFD Liver Affy Clariom S Gene Level (Aug18) RMA **" - ], + "854", + "NIA-AgBXD-Liv_CDHFD-rna-seq-0818", + "NIA Aging BXD CD+HFD Liver RNA-Seq (Aug18) Log2" + ], [ - "853", - "NIA-AgBXD-Liv_CD-0818", - "NIA Aging BXD CD Liver Affy Clariom S Gene Level (Aug18) RMA **" - ], + "855", + "NIA-AgBXD-Liv_HFD-rna-seq-0818", + "NIA Aging BXD HFD Liver RNA-Seq (Aug18) Log2" + ], [ - "818", - "UCLA_BXD_Liv_Jan16", - "UCLA BXD Liver Affy M430 2.0 (Jan16) RMA" - ], + "856", + "NIA-AgBXD-Liv_CD-rna-seq-0818", + "NIA Aging BXD CD Liver RNA-Seq (Aug18) Log2" + ], [ - "858", - "EPFLMouseLiverHFDRMA0818", - "EPFL/LISP BXD HFD Liver Affy Mouse Gene 1.0 ST (Aug18) RMA" - ], + "818", + "UCLA_BXD_Liv_Jan16", + "UCLA BXD Liver Affy M430 2.0 (Jan16) RMA" + ], [ - "430", - "EPFLMouseLiverRMA0413", + "430", + "EPFLMouseLiverRMA0413", "EPFL/LISP BXD CD+HFD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" - ], + ], [ - "431", - "EPFLMouseLiverHFDRMA0413", + "431", + "EPFLMouseLiverHFDRMA0413", "EPFL/LISP BXD HFD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" - ], + ], [ - "432", - "EPFLMouseLiverCDRMA0413", - "EPFL/LISP BXD CD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" - ], - [ - "848", - "EPFLMouseLiverHFCEx0413", + "848", + "EPFLMouseLiverHFCEx0413", "EPFL/LISP BXD HFC Liver Affy Mouse Gene 1.0 ST (Apr13) RMA Exon Level" - ], + ], [ - "433", - "EPFLMouseLiverBothExRMA0413", - "EPFL/LISP BXD CD+HFD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA Exon Level" - ], + "432", + "EPFLMouseLiverCDRMA0413", + "EPFL/LISP BXD CD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA" + ], [ - "849", - "EPFLMouseLiverCDEx0413", + "849", + "EPFLMouseLiverCDEx0413", "EPFL/LISP BXD CD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA Exon Level" - ], + ], [ - "700", - "UTHSC-VGX_MmBXDHepatocytesRMA1014", + "433", + "EPFLMouseLiverBothExRMA0413", + "EPFL/LISP BXD CD+HFD Liver Affy Mouse Gene 1.0 ST (Apr13) RMA Exon Level" + ], + [ + "700", + "UTHSC-VGX_MmBXDHepatocytesRMA1014", "UT-VGX Hepatocytes Affy Mouse Gene 1.0 ST Gene Level (Oct14) RMA" - ], + ], [ - "701", - "UT-VGX_HEL1014", + "701", + "UT-VGX_HEL1014", "UT-VGX Hepatocytes Affy Mouse Gene 1.0 ST Exon Level (Oct14) RMA" - ], + ], [ - "373", - "GSE16780_UCLA_ML0911", + "373", + "GSE16780_UCLA_ML0911", "GSE16780 UCLA Hybrid MDP Liver Affy HT M430A (Sep11) RMA" - ], + ], [ - "325", - "SUH_Liv_RMA_0611", + "325", + "SUH_Liv_RMA_0611", "SUH BXD Liver CCl4-treated Affy Mouse Gene 1.0 ST (Jun11) RMA" - ], + ], [ - "702", - "SUH_Liv_RMAEx_0611", + "702", + "SUH_Liv_RMAEx_0611", "SUH BXD Liver CCl4-treated Affy Mouse Gene 1.0 ST Exon Level (Jun11) RMA" - ], + ], [ - "256", - "GenEx_BXD_liverEt_M5_0912", + "256", + "GenEx_BXD_liverEt_M5_0912", "GenEx BXD EtOH Liver Affy M430 2.0 (Sep12) MAS5 Both Sexes" - ], + ], [ - "257", - "GenEx_BXD_liverEt_M5M_0912", + "257", + "GenEx_BXD_liverEt_M5M_0912", "GenEx BXD EtOH Liver Affy M430 2.0 (Sep12) MAS5 Males" - ], + ], [ - "258", - "GenEx_BXD_liverEt_M5F_0912", + "258", + "GenEx_BXD_liverEt_M5F_0912", "GenEx BXD EtOH Liver Affy M430 2.0 (Sep12) MAS5 Females" - ], + ], [ - "307", - "GenEx_BXD_liverEt_RMA_0211", + "307", + "GenEx_BXD_liverEt_RMA_0211", "GenEx BXD EtOH Liver Affy M430 2.0 (Feb11) RMA Both Sexes" - ], + ], [ - "308", - "GenEx_BXD_liverEt_RMA_M_0211", + "308", + "GenEx_BXD_liverEt_RMA_M_0211", "GenEx BXD EtOH Liver Affy M430 2.0 (Feb11) RMA Males" - ], + ], [ - "309", - "GenEx_BXD_liverEt_RMA_F_0211", + "309", + "GenEx_BXD_liverEt_RMA_F_0211", "GenEx BXD EtOH Liver Affy M430 2.0 (Feb11) RMA Females" - ], + ], [ - "310", - "GenEx_BXD_liverSal_RMA_0211", + "310", + "GenEx_BXD_liverSal_RMA_0211", "GenEx BXD Sal Liver Affy M430 2.0 (Feb11) RMA Both Sexes" - ], + ], [ - "311", - "GenEx_BXD_liverSal_RMA_M_0211", + "311", + "GenEx_BXD_liverSal_RMA_M_0211", "GenEx BXD Sal Liver Affy M430 2.0 (Feb11) RMA Males" - ], + ], [ - "312", - "GenEx_BXD_liverSal_RMA_F_0211", + "312", + "GenEx_BXD_liverSal_RMA_F_0211", "GenEx BXD Sal Liver Affy M430 2.0 (Feb11) RMA Females" ] - ], + ], "Lung mRNA": [ [ - "160", - "HZI_0408_R", + "160", + "HZI_0408_R", "HZI Lung M430v2 (Apr08) RMA" - ], + ], [ - "161", - "HZI_0408_M", + "161", + "HZI_0408_M", "HZI Lung M430v2 (Apr08) MAS5" ] - ], + ], "Midbrain mRNA": [ [ - "381", - "VUBXDMouseMidBrainQ0512", + "381", + "VUBXDMouseMidBrainQ0512", "VU BXD Midbrain Agilent SurePrint G3 Mouse GE (May12) Quantile" ] - ], + ], "Muscle mRNA": [ [ - "378", - "EPFLMouseMuscleRMA1211", + "378", + "EPFLMouseMuscleRMA1211", "EPFL/LISP BXD CD+HFD Muscle Affy Mouse Gene 1.0 ST (Dec11) RMA" - ], + ], [ - "380", - "EPFLMouseMuscleHFDRMA1211", + "380", + "EPFLMouseMuscleHFDRMA1211", "EPFL/LISP BXD HFD Muscle Affy Mouse Gene 1.0 ST (Dec11) RMA" - ], + ], [ - "379", - "EPFLMouseMuscleCDRMA1211", + "379", + "EPFLMouseMuscleCDRMA1211", "EPFL/LISP BXD CD Muscle Affy Mouse Gene 1.0 ST (Dec11) RMA" - ], + ], [ - "395", - "EPFLMouseMuscleRMA_Ex1112", + "395", + "EPFLMouseMuscleRMA_Ex1112", "EPFL/LISP BXD CD+HFD Muscle Affy Mouse Gene 1.0 ST (Nov12) RMA Exon Level" - ], + ], [ - "396", - "EPFLMouseMuscleHFDRMAEx1112", + "396", + "EPFLMouseMuscleHFDRMAEx1112", "EPFL/LISP BXD HFD Muscle Affy Mouse Gene 1.0 ST (Nov12) RMA Exon Level" - ], + ], [ - "397", - "EPFLMouseMuscleCDRMAEx1112", + "397", + "EPFLMouseMuscleCDRMAEx1112", "EPFL/LISP BXD CD Muscle Affy Mouse Gene 1.0 ST (Nov12) RMA Exon Level" ] - ], + ], "Neocortex mRNA": [ [ - "374", - "DevNeocortex_ILM6.2P3RInv_1111", + "374", + "DevNeocortex_ILM6.2P3RInv_1111", "BIDMC/UTHSC Dev Neocortex P3 ILMv6.2 (Nov11) RankInv" - ], + ], [ - "375", - "DevNeocortex_ILM6.2P14RInv_1111", + "375", + "DevNeocortex_ILM6.2P14RInv_1111", "BIDMC/UTHSC Dev Neocortex P14 ILMv6.2 (Nov11) RankInv" - ], + ], [ - "284", - "HQFNeoc_1210v2_RankInv", + "284", + "HQFNeoc_1210v2_RankInv", "HQF BXD Neocortex ILM6v1.1 (Dec10v2) RankInv" - ], + ], [ - "282", - "HQFNeoc_1210_RankInv", + "282", + "HQFNeoc_1210_RankInv", "HQF BXD Neocortex ILM6v1.1 (Dec10) RankInv" - ], + ], [ - "157", - "HQFNeoc_0208_RankInv", + "157", + "HQFNeoc_0208_RankInv", "HQF BXD Neocortex ILM6v1.1 (Feb08) RankInv" - ], - [ - "274", - "DevNeocortex_ILM6.2P3RInv_1110", - "BIDMC/UTHSC Dev Neocortex P3 ILMv6.2 (Nov10) RankInv" - ], + ], [ - "275", - "DevNeocortex_ILM6.2P14RInv_1110", + "275", + "DevNeocortex_ILM6.2P14RInv_1110", "BIDMC/UTHSC Dev Neocortex P14 ILMv6.2 (Nov10) RankInv" + ], + [ + "274", + "DevNeocortex_ILM6.2P3RInv_1110", + "BIDMC/UTHSC Dev Neocortex P3 ILMv6.2 (Nov10) RankInv" ] - ], + ], "Nucleus Accumbens mRNA": [ [ - "156", - "VCUSalo_1007_R", + "156", + "VCUSalo_1007_R", "VCU BXD NAc Sal M430 2.0 (Oct07) RMA" ] - ], + ], "Phenotypes": [ [ - "602", - "BXDPublish", + "602", + "BXDPublish", "BXD Published Phenotypes" + ], + [ + "658", + "GITrMetPublish", + "GI Tract Metagenome Phenotypes" ] - ], + ], "Pituitary Gland mRNA": [ [ - "389", - "INIA_PG_RMA_0612", + "389", + "INIA_PG_RMA_0612", "INIA Pituitary Affy MoGene 1.0ST (Jun12) RMA" - ], + ], [ - "427", - "INIA_Pituitary_RMA_F_0612", + "427", + "INIA_Pituitary_RMA_F_0612", "INIA Pituitary Affy MoGene 1.0ST (Jun12) RMA Females" - ], + ], [ - "428", - "INIA_Pituitary_RMA_M_0612", + "428", + "INIA_Pituitary_RMA_M_0612", "INIA Pituitary Affy MoGene 1.0ST (Jun12) RMA Males" - ], + ], [ - "335", - "INIA_PG_RMA_Ex_0612", + "335", + "INIA_PG_RMA_Ex_0612", "INIA Pituitary Affy MoGene 1.0ST (Jun12) RMA Exon Level" ] - ], + ], "Prefrontal Cortex mRNA": [ [ - "135", - "VCUSal_1206_R", + "135", + "VCUSal_1206_R", "VCU BXD PFC Sal M430 2.0 (Dec06) RMA" - ], + ], [ - "136", - "VCUEtOH_1206_R", + "136", + "VCUEtOH_1206_R", "VCU BXD PFC EtOH M430 2.0 (Dec06) RMA" - ], + ], [ - "137", - "VCUSal_1006_R", + "137", + "VCUSal_1006_R", "VCU BXD PFC Et vs Sal M430 2.0 (Dec06) Sscore" ] - ], + ], "Retina mRNA": [ [ - "709", - "DoDCMMRPRetMoGene2_0515", + "709", + "DoDCMMRPRetMoGene2_0515", "DoD Retina Normal Affy MoGene 2.0 ST (May15) RMA Gene Level" - ], + ], [ - "710", - "DoDCMMRPRetMoGene2Ex_0515", + "710", + "DoDCMMRPRetMoGene2Ex_0515", "DoD Retina Normal Affy MoGene 2.0 ST (May15) RMA Exon Level" - ], + ], [ - "267", - "Illum_Retina_BXD_RankInv0410", + "267", + "Illum_Retina_BXD_RankInv0410", "Full HEI Retina Illumina V6.2 (Apr10) RankInv" - ], + ], [ - "302", - "G2NEI_ILM_Retina_BXD_RI0410", + "302", + "G2NEI_ILM_Retina_BXD_RI0410", "HEI Retina Normal Illumina V6.2 (Apr10) RankInv" - ], + ], [ - "785", - "DoDTATRCRetBLMoGene2_0316", + "785", + "DoDTATRCRetBLMoGene2_0316", "DoD Retina After Blast Affy MoGene 2.0 ST (Mar16) RMA Gene Level" - ], + ], [ - "787", - "DoDRetBlastvsNormal_0416", + "787", + "DoDRetBlastvsNormal_0416", "DoD Retina Blast vs Normal Retina Affy MoGene 2.0 ST (Apr16) RMA Gene Level" - ], + ], [ - "786", - "DoDTATRCRetBLMoGene2E_0316", + "786", + "DoDTATRCRetBLMoGene2E_0316", "DoD Retina After Blast Affy MoGene 2.0 ST (Mar16) RMA Exon Level" - ], + ], [ - "385", - "ONCRetILM6_0412", + "385", + "ONCRetILM6_0412", "ONC HEI Retina (April 2012) RankInv" + ], + [ + "371", + "HEIONCvsCRetILM6_0911", + "HEI ONC vs Control Retina Illumina V6.2 (Sep11) RankInv" ] - ], + ], "Spleen mRNA": [ [ - "283", - "UTHSC_SPL_RMA_1210", + "283", + "UTHSC_SPL_RMA_1210", "UTHSC Affy MoGene 1.0 ST Spleen (Dec10) RMA" - ], + ], [ - "773", - "UTHSC_SPLs1_RMA_1210", + "773", + "UTHSC_SPLs1_RMA_1210", "UTHSC Affy MoGene 1.0 ST Spleen (Dec10) RMA Set1" - ], + ], [ - "774", - "UTHSC_SPLs2_RMA_1210", + "774", + "UTHSC_SPLs2_RMA_1210", "UTHSC Affy MoGene 1.0 ST Spleen (Dec10) RMA Set2" - ], + ], [ - "286", - "UTHSC_SPL_RMA_1210M", + "286", + "UTHSC_SPL_RMA_1210M", "UTHSC Affy MoGene 1.0 ST Spleen (Dec10) RMA Males" - ], + ], [ - "287", - "UTHSC_SPL_RMA_1210F", + "287", + "UTHSC_SPL_RMA_1210F", "UTHSC Affy MoGene 1.0 ST Spleen (Dec10) RMA Females" - ], + ], [ - "429", - "UTHSC_SPL_RMAEx_1210", + "429", + "UTHSC_SPL_RMAEx_1210", "UTHSC Affy MoGene 1.0 ST Spleen (Dec10) RMA Exon Level" - ], + ], [ - "271", - "UTHSC_SPL_RMA_1010", + "271", + "UTHSC_SPL_RMA_1010", "UTHSC Affy MoGene 1.0 ST Spleen (Oct10) RMA" - ], + ], [ - "260", - "UTK_BXDSpl_VST_0110", + "260", + "UTK_BXDSpl_VST_0110", "UTK Spleen ILM6.1 (Jan10) VST" - ], + ], [ - "227", - "IoP_SPL_RMA_0509", + "227", + "IoP_SPL_RMA_0509", "IoP Affy MOE 430v2 Spleen (May09) RMA" ] - ], + ], "Striatum mRNA": [ [ - "376", - "DevStriatum_ILM6.2P3RInv_1111", - "BIDMC/UTHSC Dev Striatum P3 ILMv6.2 (Nov11) RankInv" - ], - [ - "377", - "DevStriatum_ILM6.2P14RInv_1111", - "BIDMC/UTHSC Dev Striatum P14 ILMv6.2 (Nov11) RankInv" - ], - [ - "399", - "Striatum_Exon_1212", + "399", + "Striatum_Exon_1212", "HQF Striatum Affy Mouse Exon 1.0ST Gene Level (Dec09) RMA" - ], + ], [ - "163", - "Striatum_Exon_0209", + "163", + "Striatum_Exon_0209", "HQF Striatum Affy Mouse Exon 1.0ST Exon Level (Dec09) RMA" - ], + ], + [ + "376", + "DevStriatum_ILM6.2P3RInv_1111", + "BIDMC/UTHSC Dev Striatum P3 ILMv6.2 (Nov11) RankInv" + ], [ - "285", - "UTHSC_Striatum_RankInv_1210", + "377", + "DevStriatum_ILM6.2P14RInv_1111", + "BIDMC/UTHSC Dev Striatum P14 ILMv6.2 (Nov11) RankInv" + ], + [ + "285", + "UTHSC_Striatum_RankInv_1210", "HQF BXD Striatum ILM6.1 (Dec10v2) RankInv" - ], + ], [ - "298", - "UTHSC_Str_RankInv_1210", + "298", + "UTHSC_Str_RankInv_1210", "HQF BXD Striatum ILM6.1 (Dec10) RankInv" - ], + ], [ - "152", - "UTHSC_1107_RankInv", + "152", + "UTHSC_1107_RankInv", "HQF BXD Striatum ILM6.1 (Nov07) RankInv" - ], + ], [ - "74", - "SA_M2_0405_MC", + "74", + "SA_M2_0405_MC", "HBP Rosen Striatum M430V2 (Apr05) MAS5 Clean" - ], + ], [ - "69", - "SA_M2_0405_RC", + "69", + "SA_M2_0405_RC", "HBP Rosen Striatum M430V2 (Apr05) RMA Clean" - ], + ], [ - "68", - "SA_M2_0405_PC", + "68", + "SA_M2_0405_PC", "HBP Rosen Striatum M430V2 (Apr05) PDNN Clean" - ], + ], [ - "67", - "SA_M2_0405_SS", + "67", + "SA_M2_0405_SS", "HBP Rosen Striatum M430V2 (Apr05) SScore" - ], + ], [ - "66", - "SA_M2_0405_RR", + "66", + "SA_M2_0405_RR", "HBP Rosen Striatum M430V2 (Apr05) RMA Orig" ] - ], + ], "T Cell (helper) mRNA": [ [ - "319", - "RTHC_0211_R", + "319", + "RTHC_0211_R", "HZI Thelp M430v2 (Feb11) RMA" ] - ], + ], "T Cell (regulatory) mRNA": [ [ - "122", - "RTC_1106_R", + "122", + "RTC_1106_R", "HZI Treg M430v2 (Feb11) RMA" ] - ], + ], "Ventral Tegmental Area mRNA": [ [ - "228", - "VCUSal_0609_R", + "228", + "VCUSal_0609_R", "VCU BXD VTA Sal M430 2.0 (Jun09) RMA" - ], - [ - "229", - "VCUEtOH_0609_R", - "VCU BXD VTA EtOH M430 2.0 (Jun09) RMA" - ], + ], [ - "230", - "VCUEtvsSal_0609_R", + "230", + "VCUEtvsSal_0609_R", "VCU BXD VTA Et vs Sal M430 2.0 (Jun09) RMA" + ], + [ + "229", + "VCUEtOH_0609_R", + "VCU BXD VTA EtOH M430 2.0 (Jun09) RMA" ] ] - }, + }, "BXD-Bone": { "Phenotypes": [ [ - "650", - "BXD-BonePublish", - "BXD-Bone Published Phenotypes" + "650", + "BXD-BonePublish", + "BXD-Bone Phenotypes" ] ] - }, + }, "BXD-Harvested": { - "Liver mRNA": [ + "Genotypes": [ [ - "843", - "UTHSC-BXD-Harv_Liv-0118", - "UTHSC BXD Harvested Liver RNA-Seq (Aug18) Log2 **" - ], + "None", + "BXD-HarvestedGeno", + "BXD-Harvested Genotypes" + ] + ], + "Hippocampus mRNA": [ [ - "850", - "UTHSC-BXD-Liv-0818", - "UTHSC BXD Liver Affy Clariom S GeneLevel Main (Aug18) RMA **" - ], + "873", + "JAX-BXD-Hip-Pro-0219", + "JAX BXD Hippocampal Proteome (Feb19)" + ] + ], + "Liver mRNA": [ + [ + "877", + "UTHSC-BXD-Harv_Liv-1019", + "UTHSC BXD Harvested Liver RNA-Seq (Oct19) TPM Log2" + ], [ - "842", - "UTHSC-BXD-Liv-0917", - "UTHSC BXD Liver Affy Clariom S GeneLevel Main (Sep17) RMA **" + "843", + "UTHSC-BXD-Harv_Liv-0118", + "UTHSC BXD Harvested Liver RNA-Seq (Aug18) Log2" ] - ], + ], "Phenotypes": [ [ - "None", - "BXD-HarvestedPublish", - "BXD-Harvested Published Phenotypes" + "None", + "BXD-HarvestedPublish", + "BXD-NIA-Longevity Phenotypes" ] ] - }, + }, "BXD300": { "Genotypes": [ [ - "None", - "BXD300Geno", + "None", + "BXD300Geno", "BXD300 Genotypes" ] - ], + ], "Liver mRNA": [ [ - "105", - "LV_G_0106_B", + "105", + "LV_G_0106_B", "UNC Agilent G4121A Liver LOWESS Stanford (Jan06) Both Sexes" - ], + ], [ - "103", - "LV_G_0106_M", + "103", + "LV_G_0106_M", "UNC Agilent G4121A Liver LOWESS Stanford (Jan06) Males" - ], + ], [ - "104", - "LV_G_0106_F", + "104", + "LV_G_0106_F", "UNC Agilent G4121A Liver LOWESS Stanford (Jan06) Females" ] - ], + ], "Phenotypes": [ [ - "None", - "BXD300Publish", + "None", + "BXD300Publish", "BXD300 Published Phenotypes" ] ] - }, + }, "BXH": { "Bone Femur mRNA": [ [ - "412", - "UCLA_BXH_Femur_0113_RSN", + "412", + "UCLA_BXH_Femur_0113_RSN", "UCLA GSE27483 BXH Bone Femur ILM Mouse WG-6 v1, v1.1 (Jan13) RSN" ] - ], + ], "Cartilage mRNA": [ [ - "209", - "UCLA_BXHBXD_CARTILAGE_V2", + "209", + "UCLA_BXHBXD_CARTILAGE_V2", "UCLA BXH and BXD Cartilage v2" - ], + ], [ - "205", - "UCLA_BXHBXD_CARTILAGE", + "205", + "UCLA_BXHBXD_CARTILAGE", "UCLA BXH and BXD Cartilage" - ], + ], [ - "179", - "UCLA_BXH_CARTILAGE", + "179", + "UCLA_BXH_CARTILAGE", "UCLA BXH Cartilage" ] - ], + ], "Genotypes": [ [ - "638", - "BXHGeno", + "638", + "BXHGeno", "BXH Genotypes" ] - ], + ], "Liver mRNA": [ [ - "353", - "GSE16780BXH_UCLA_ML0911", + "353", + "GSE16780BXH_UCLA_ML0911", "GSE16780 UCLA Mouse BXH Liver Affy HT M430A (Sep11) RMA" ] - ], + ], "Phenotypes": [ [ - "627", - "BXHPublish", + "627", + "BXHPublish", "BXH Published Phenotypes" ] ] - }, + }, "C57BL-6JxC57BL-6NJF2": { "Genotypes": [ [ - "622", - "C57BL-6JxC57BL-6NJF2Geno", + "622", + "C57BL-6JxC57BL-6NJF2Geno", "C57BL-6JxC57BL-6NJF2 Genotypes" ] - ], + ], "Phenotypes": [ [ - "620", - "C57BL-6JxC57BL-6NJF2Publish", - "C57BL-6JxC57BL-6NJF2 Published Phenotypes" + "620", + "C57BL-6JxC57BL-6NJF2Publish", + "C57BL/6JxC57BL/6NJ F2 CROSS Phenotypes" ] ] - }, + }, "CFW": { "Hippocampus mRNA": [ [ - "811", - "UCSD_CFW_HIP_RNA-Seq_log2_0117", + "811", + "UCSD_CFW_HIP_RNA-Seq_log2_0117", "UCSD CFW Hippocampus (Jan17) RNA-Seq Log2 Z-score" - ], + ], [ - "808", - "UCSD_CFW_HIP_RNA-Seq_0117", - "UCSD CFW Hippocampus (Jan17) RNA-Seq" + "808", + "UCSD_CFW_HIP_RNA-Seq_0117", + "UCSD CFW Hippocampus RNA-Seq (Jan17) FPKM Quantile" ] - ], + ], "Phenotypes": [ [ - "None", - "CFWPublish", - "CFW Published Phenotypes" + "None", + "CFWPublish", + "CFW Phenotypes" ] - ], + ], "Prefrontal Cortex mRNA": [ [ - "813", - "UCSD_CFW_PFC_RNA-Seq_log2_0117", + "813", + "UCSD_CFW_PFC_RNA-Seq_log2_0117", "UCSD CFW Prefrontal Cortex (Jan17) RNA-Seq Log2 Z-score" - ], + ], [ - "810", - "UCSD_CFW_PFC_RNA-Seq_0117", + "810", + "UCSD_CFW_PFC_RNA-Seq_0117", "UCSD CFW Prefrontal Cortex (Jan17) RNA-Seq" ] - ], + ], "Striatum mRNA": [ [ - "812", - "UCSD_CFW_STR_RNA-Seq_log2_0117", + "812", + "UCSD_CFW_STR_RNA-Seq_log2_0117", "UCSD CFW Striatum (Jan17) RNA-Seq Log2 Z-score" - ], + ], [ - "809", - "UCSD_CFW_SPL_RNA-Seq_0117", + "809", + "UCSD_CFW_SPL_RNA-Seq_0117", "UCSD CFW Striatum (Jan17) RNA-Seq" ] ] - }, + }, "CIE-INIA": { "LCM Brain Regions mRNA": [ [ - "776", - "INIA_LCM_CAB_1215", + "776", + "INIA_LCM_CAB_1215", "INIA LCM (11 Regions) CIE/AIR/BAS RNA-seq Transcript Level (Dec15)" - ], + ], [ - "772", - "INIA_LCM_1215", + "772", + "INIA_LCM_1215", "INIA LCM (11 Regions) CIE/AIR RNA-seq Transcript Level (Dec15)" - ], + ], [ - "775", - "INIA_LCMB_1215", + "775", + "INIA_LCMB_1215", "INIA LCM (11 Regions) BASELINE RNA-seq Transcript Level (Dec15)" ] - ], + ], "Phenotypes": [ [ - "None", - "CIE-INIAPublish", - "CIE-INIA Published Phenotypes" + "None", + "CIE-INIAPublish", + "LCM Phenotypes" ] ] - }, + }, "CIE-RMA": { "Hippocampus mRNA": [ [ - "831", - "INIA_UTHSC_Hip_AffyMTA1_May17", + "831", + "INIA_UTHSC_Hip_AffyMTA1_May17", "INIA-UTHSC Hippocampus CIE Affy MTA 1.0 GeneLevel (Mar18) RMA" ] - ], + ], "Midbrain mRNA": [ [ - "830", - "INIA_UTHSC_Mid_AffyMTA1_Apr17", + "830", + "INIA_UTHSC_Mid_AffyMTA1_Apr17", "INIA-UTHSC Midbrain CIE Affy MTA 1.0 GeneLevel (Apr17) RMA" - ], + ], [ - "834", - "INIA_UTHSC_Mid_AffyMTA1_Ex_May17", + "834", + "INIA_UTHSC_Mid_AffyMTA1_Ex_May17", "INIA-UTHSC Midbrain CIE Affy MTA 1.0 Exon Level (Apr17) RMA" ] - ], + ], "Phenotypes": [ [ - "None", - "CIE-RMAPublish", - "CIE-RMA Published Phenotypes" + "None", + "CIE-RMAPublish", + "CIE-RMA Phenotypes" ] ] - }, + }, "CMS": { "Phenotypes": [ [ - "None", - "CMSPublish", - "CMS Published Phenotypes" + "None", + "CMSPublish", + "CMS Phenotypes" ] ] - }, + }, "CTB6F2": { "Adipose mRNA": [ [ - "170", - "UCLA_CTB6B6CTF2_ADIPOSE_2005", + "170", + "UCLA_CTB6B6CTF2_ADIPOSE_2005", "UCLA CTB6/B6CTF2 Adipose (2005) mlratio" - ], + ], [ - "189", - "UCLA_CTB6B6CTF2_ADIPOSE_FEMALE", + "189", + "UCLA_CTB6B6CTF2_ADIPOSE_FEMALE", "UCLA CTB6B6CTF2 Adipose Female mlratio" - ], + ], [ - "188", - "UCLA_CTB6B6CTF2_ADIPOSE_MALE", + "188", + "UCLA_CTB6B6CTF2_ADIPOSE_MALE", "UCLA CTB6B6CTF2 Adipose Male mlratio" ] - ], + ], "Brain mRNA": [ [ - "171", - "UCLA_CTB6B6CTF2_BRAIN_2005", + "171", + "UCLA_CTB6B6CTF2_BRAIN_2005", "UCLA CTB6/B6CTF2 Brain (2005) mlratio" - ], + ], [ - "190", - "UCLA_CTB6B6CTF2_BRAIN_MALE", + "190", + "UCLA_CTB6B6CTF2_BRAIN_MALE", "UCLA CTB6/B6CTF2 Brain Males (2005) mlratio" - ], + ], [ - "191", - "UCLA_CTB6B6CTF2_BRAIN_FEMALE", + "191", + "UCLA_CTB6B6CTF2_BRAIN_FEMALE", "UCLA CTB6/B6CTF2 Brain Females (2005) mlratio" ] - ], + ], "Genotypes": [ [ - "None", - "CTB6F2Geno", + "None", + "CTB6F2Geno", "CTB6F2 Genotypes" ] - ], + ], "Liver mRNA": [ [ - "172", - "UCLA_CTB6B6CTF2_LIVER_2005", + "172", + "UCLA_CTB6B6CTF2_LIVER_2005", "UCLA CTB6/B6CTF2 Liver (2005) mlratio" - ], + ], [ - "193", - "UCLA_CTB6B6CTF2_LIVER_FEMALE", + "193", + "UCLA_CTB6B6CTF2_LIVER_FEMALE", "UCLA CTB6B6CTF2 Liver Female mlratio" - ], + ], [ - "192", - "UCLA_CTB6B6CTF2_LIVER_MALE", + "192", + "UCLA_CTB6B6CTF2_LIVER_MALE", "UCLA CTB6B6CTF2 Liver Male mlratio" ] - ], + ], "Muscle mRNA": [ [ - "173", - "UCLA_CTB6B6CTF2_MUSCLE_2005", + "173", + "UCLA_CTB6B6CTF2_MUSCLE_2005", "UCLA CTB6/B6CTF2 Muscle (2005) mlratio" - ], + ], [ - "195", - "UCLA_CTB6B6CTF2_MUSCLE_FEMALE", + "195", + "UCLA_CTB6B6CTF2_MUSCLE_FEMALE", "UCLA CTB6B6CTF2 Muscle Female mlratio" - ], + ], [ - "194", - "UCLA_CTB6B6CTF2_MUSCLE_MALE", + "194", + "UCLA_CTB6B6CTF2_MUSCLE_MALE", "UCLA CTB6B6CTF2 Muscle Male mlratio" ] - ], + ], "Phenotypes": [ [ - "630", - "CTB6F2Publish", - "CTB6F2 Published Phenotypes" + "630", + "CTB6F2Publish", + "CastB6/B6Cast F2 UCLA Published Phenotypes" ] ] - }, + }, "CXB": { "Genotypes": [ [ - "614", - "CXBGeno", + "614", + "CXBGeno", "CXB Genotypes" ] - ], + ], "Heart mRNA": [ [ - "821", - "UCLA_CXB_Aor_Jan16", + "821", + "UCLA_CXB_Aor_Jan16", "UCLA CXB Aorta Affy M430 2.0 (Jan16) RMA" ] - ], + ], "Hippocampus mRNA": [ [ - "99", - "HC_M2CB_1205_P", + "99", + "HC_M2CB_1205_P", "Hippocampus Consortium M430v2 CXB (Dec05) PDNN" - ], + ], [ - "100", - "HC_M2CB_1205_R", + "100", + "HC_M2CB_1205_R", "Hippocampus Consortium M430v2 CXB (Dec05) RMA" ] - ], + ], "Liver mRNA": [ [ - "823", - "UCLA_CXB_Liv_Jan16", + "823", + "UCLA_CXB_Liv_Jan16", "UCLA CXB Liver Affy M430 2.0 (Jan16) RMA" ] - ], + ], "Phenotypes": [ [ - "628", - "CXBPublish", + "628", + "CXBPublish", "CXB Published Phenotypes" ] - ], + ], "Spleen mRNA": [ [ - "153", - "STSPL_1107_R", + "153", + "STSPL_1107_R", "Stuart Spleen M430v2 (Nov07) RMA" ] ] - }, + }, "D2GM": { + "Phenotypes": [ + [ + "None", + "D2GMPublish", + "D2GM Phenotypes" + ] + ], "Retina mRNA": [ [ - "847", - "JAX_D2GM_RSeq_log2Z_0418", + "847", + "JAX_D2GM_RSeq_log2Z_0418", "JAX Retina (Apr18) RNA-Seq log2-Z" ] ] - }, - "EMSR": {}, + }, "HS": { "Hippocampus mRNA": [ [ - "268", - "OXUKHS_ILMHipp_RI0510", + "268", + "OXUKHS_ILMHipp_RI0510", "OX UK HS ILM6v1.1 Hippocampus (May 2010) RankInv" ] - ], + ], "Liver mRNA": [ [ - "269", - "OXUKHS_ILMLiver_RI0510", + "269", + "OXUKHS_ILMLiver_RI0510", "OX UK HS ILM6v1.1 Liver (May 2010) RankInv" ] - ], + ], "Lung mRNA": [ [ - "270", - "OXUKHS_ILMLung_RI0510", + "270", + "OXUKHS_ILMLung_RI0510", "OX UK HS ILM6v1.1 Lung (May 2010) RankInv" ] - ], + ], "Phenotypes": [ [ - "624", - "HSPublish", - "HS Published Phenotypes" + "624", + "HSPublish", + "Heterogeneous Stock Phenotypes" ] ] - }, + }, "HS-CC": { "Striatum mRNA": [ [ - "304", - "OHSU_HS-CC_ILMStr_0211", + "304", + "OHSU_HS-CC_ILMStr_0211", "OHSU HS-CC Striatum ILM6v1 (Feb11) RankInv" ] ] - }, + }, + "LGSM-AIG34_50-56-GBS": { + "Phenotypes": [ + [ + "None", + "LGSM-AIG34_50-56-GBSPublish", + "LGSM AIG34/50-56 GBS Phenotypes" + ] + ] + }, "LXS": { "Genotypes": [ [ - "601", - "LXSGeno", + "601", + "LXSGeno", "LXS Genotypes" ] - ], + ], "Hippocampus mRNA": [ [ - "211", - "Illum_LXS_Hipp_RSS_1008", + "211", + "Illum_LXS_Hipp_RSS_1008", "Hippocampus Illumina RSS (Oct08) RankInv beta" - ], - [ - "212", - "Illum_LXS_Hipp_RSE_1008", - "Hippocampus Illumina RSE (Oct08) RankInv beta" - ], + ], [ - "213", - "Illum_LXS_Hipp_NOS_1008", + "213", + "Illum_LXS_Hipp_NOS_1008", "Hippocampus Illumina NOS (Oct08) RankInv beta" - ], - [ - "214", - "Illum_LXS_Hipp_NOE_1008", - "Hippocampus Illumina NOE (Oct08) RankInv beta" - ], + ], [ - "219", - "Illum_LXS_Hipp_NON_1008", + "219", + "Illum_LXS_Hipp_NON_1008", "Hippocampus Illumina NON (Oct08) RankInv beta" - ], + ], + [ + "212", + "Illum_LXS_Hipp_RSE_1008", + "Hippocampus Illumina RSE (Oct08) RankInv beta" + ], [ - "143", - "Illum_LXS_Hipp_loess0807", + "214", + "Illum_LXS_Hipp_NOE_1008", + "Hippocampus Illumina NOE (Oct08) RankInv beta" + ], + [ + "143", + "Illum_LXS_Hipp_loess0807", "Hippocampus Illumina (Aug07) LOESS" - ], + ], [ - "142", - "Illum_LXS_Hipp_loess_nb0807", + "142", + "Illum_LXS_Hipp_loess_nb0807", "Hippocampus Illumina (Aug07) LOESS_NB" - ], + ], [ - "141", - "Illum_LXS_Hipp_quant0807", + "141", + "Illum_LXS_Hipp_quant0807", "Hippocampus Illumina (Aug07) QUANT" - ], + ], [ - "140", - "Illum_LXS_Hipp_quant_nb0807", + "140", + "Illum_LXS_Hipp_quant_nb0807", "Hippocampus Illumina (Aug07) QUANT_NB" - ], + ], [ - "139", - "Illum_LXS_Hipp_rsn0807", + "139", + "Illum_LXS_Hipp_rsn0807", "Hippocampus Illumina (Aug07) RSN" - ], + ], [ - "138", - "Illum_LXS_Hipp_rsn_nb0807", + "138", + "Illum_LXS_Hipp_rsn_nb0807", "Hippocampus Illumina (Aug07) RSN_NB" - ], + ], [ - "133", - "Hipp_Illumina_RankInv_0507", + "133", + "Hipp_Illumina_RankInv_0507", "Hippocampus Illumina (May07) RankInv" ] - ], + ], "Phenotypes": [ [ - "606", - "LXSPublish", + "606", + "LXSPublish", "LXS Published Phenotypes" ] - ], + ], "Prefrontal Cortex mRNA": [ [ - "130", - "VCUSal_0806_R", + "130", + "VCUSal_0806_R", "VCU LXS PFC Sal M430A 2.0 (Aug06) RMA" ] ] - }, + }, "Linsenbardt-Boehm": { "Genotypes": [ [ - "None", - "Linsenbardt-BoehmGeno", + "None", + "Linsenbardt-BoehmGeno", "Linsenbardt-Boehm Genotypes" ] - ], + ], "Phenotypes": [ [ - "645", - "Linsenbardt-BoehmPublish", + "645", + "Linsenbardt-BoehmPublish", "Linsenbardt-Boehm Published Phenotypes" ] ] - }, + }, "MDP": { "Bone Femur mRNA": [ [ - "413", - "UCLA_MDP_Femur_0113_RSN", + "413", + "UCLA_MDP_Femur_0113_RSN", "UCLA GSE27483 MDP Bone Femur ILM Mouse WG-6 v1, v1.1 (Jan13) RSN" ] - ], + ], "Dorsal Root Ganglia mRNA": [ [ - "402", - "TSRI-DRG-AffyMOE430_0113-MDP", + "402", + "TSRI-DRG-AffyMOE430_0113-MDP", "TSRI DRG Affy Mouse Genome 430 2.0 (Jan13) RMA MDP" ] - ], + ], "Genotypes": [ [ - "609", - "MDPGeno", + "609", + "MDPGeno", "MDP Genotypes" ] - ], + ], "Hippocampus mRNA": [ [ - "272", - "HC_M2_0606_MDP", + "272", + "HC_M2_0606_MDP", "Hippocampus Consortium M430v2 (Jun06) RMA MDP" - ], + ], [ - "273", - "UMUTAffyExon_0209_RMA_MDP", + "273", + "UMUTAffyExon_0209_RMA_MDP", "UMUTAffy Hippocampus Exon (Feb09) RMA MDP" ] - ], + ], "Liver mRNA": [ [ - "370", - "GSE16780MDP_UCLA_ML0911", + "370", + "GSE16780MDP_UCLA_ML0911", "GSE16780 UCLA Mouse MDP Liver Affy HT M430A (Sep11) RMA" - ], + ], [ - "357", - "JAX_CSB_L_0711", + "357", + "JAX_CSB_L_0711", "JAX Liver Affy M430 2.0 (Jul11) MDP" - ], + ], [ - "358", - "JAX_CSB_L_HF_0711", + "358", + "JAX_CSB_L_HF_0711", "JAX Liver HF Affy M430 2.0 (Jul11) MDP" - ], + ], [ - "359", - "JAX_CSB_L_6C_0711", + "359", + "JAX_CSB_L_6C_0711", "JAX Liver 6C Affy M430 2.0 (Jul11) MDP" - ], + ], [ - "403", - "JAX_liver_agil_MDP-0113", + "403", + "JAX_liver_agil_MDP-0113", "Harrill-Rusyn MDP Liver Acetaminophen Tox Study (G4121A, 2009)" ] - ], + ], "Phenotypes": [ [ - "605", - "MDPPublish", + "605", + "MDPPublish", "Mouse Phenome Database" ] - ], + ], "Spleen mRNA": [ [ - "801", - "HMS_mm8_MDP_Spl_CD4_1116", + "801", + "HMS_mm8_MDP_Spl_CD4_1116", "HMS Spleen CD4+ T cells MDP Affy Mouse Gene 1.0 ST (Jul16) Gene Level" ] ] - }, + }, "NZBXFVB-N2": { "Mammary Tumors mRNA": [ [ - "225", - "NCI_Mam_Tum_RMA_0409", + "225", + "NCI_Mam_Tum_RMA_0409", "NCI Mammary M430v2 (Apr09) RMA" ] - ], + ], "Phenotypes": [ [ - "607", - "NZBXFVB-N2Publish", + "607", + "NZBXFVB-N2Publish", "NZBXFVB-N2 Published Phenotypes" ] ] - }, + }, + "Retina-RGC-Rheaume": { + "Phenotypes": [ + [ + "None", + "Retina-RGC-RheaumePublish", + "Retina-RGC-Rheaume Phenotypes" + ] + ], + "Retina Single-cell RNA-Seq": [ + [ + "865", + "UConn-RGC-RSeq_r-0918", + "UConn-Rheaume Retina RGC (Sep18) scRNA-Seq Raw" + ], + [ + "866", + "UConn-RGC-RSeq_log2-0918", + "UConn-Rheaume Retina RGC (Sep18) scRNA-Seq Log2" + ], + [ + "867", + "UConn-RGC-RSeq_s-0918", + "UConn-Rheaume Retina RGC (Sep18) scRNA-Seq Siamak" + ] + ] + }, "SOTNOT-OHSU": { "Genotypes": [ [ - "613", - "SOTNOT-OHSUGeno", + "613", + "SOTNOT-OHSUGeno", "SOTNOT-OHSU Genotypes" ] ] - }, - "Scripps-2013": {} - }, + } + }, "poplar": { "Poplar": { "Phenotypes": [ [ - "649", - "PoplarPublish", - "Poplar Published Phenotypes" + "649", + "PoplarPublish", + "Poplar Phenotypes" ] ] } - }, + }, "rat": { + "HRDP": { + "Genotypes": [ + [ + "None", + "HRDPGeno", + "HRDP Genotypes" + ] + ], + "Phenotypes": [ + [ + "None", + "HRDPPublish", + "HRDP Phenotypes" + ] + ] + }, "HSNIH-Palmer": { - "Hippocampus mRNA": [ + "Infralimbic Cortex mRNA": [ [ - "862", - "HSNIH-Rat-LHB-RSeq-0818", + "861", + "HSNIH-Rat-IL-RSeq-0818", + "HSNIH-Palmer Infralimbic Cortex RNA-Seq (Aug18) rlog" + ] + ], + "Lateral Habenula mRNA": [ + [ + "862", + "HSNIH-Rat-LHB-RSeq-0818", "HSNIH-Palmer Lateral Habenula RNA-Seq (Aug18) rlog" ] - ], + ], "Nucleus Accumbens mRNA": [ [ - "860", - "HSNIH-Rat-Acbc-RSeq-0818", + "860", + "HSNIH-Rat-Acbc-RSeq-0818", "HSNIH-Palmer Nucleus Accumbens Core RNA-Seq (Aug18) rlog" ] - ], + ], + "Orbitofrontal Cortex mRNA": [ + [ + "864", + "HSNIH-Rat-VoLo-RSeq-0818", + "HSNIH-Palmer Orbitofrontal Cortex RNA-Seq (Aug18) rlog" + ] + ], "Phenotypes": [ [ - "652", - "HSNIH-PalmerPublish", - "HSNIH-Palmer Published Phenotypes" + "652", + "HSNIH-PalmerPublish", + "HSNIH Phenotypes" + ] + ], + "Prelimbic Cortex mRNA": [ + [ + "863", + "HSNIH-Rat-PL-RSeq-0818", + "HSNIH-Palmer Prelimbic Cortex RNA-Seq (Aug18) rlog" ] ], "Prefrontal Cortex mRNA": [ @@ -3726,1841 +3885,1915 @@ "HSNIH-Palmer Infralimbic Cortex RNA-Seq (Aug18) rlog" ] ] - }, + }, "HSNIH-RGSMC": { "Phenotypes": [ [ - "None", - "HSNIH-RGSMCPublish", - "HSNIH-RGSMC Published Phenotypes" + "None", + "HSNIH-RGSMCPublish", + "HSNIH Published Phenotypes" ] ] - }, + }, "HXBBXH": { "Adipose mRNA": [ [ - "799", - "FGUCAS_BAdip0516", + "799", + "FGUCAS_BAdip0516", "FGUCAS BXH/HXB Brown Adipose Affy Rat Gene 2.0 ST (May16) log2" ] - ], + ], "Adrenal Gland mRNA": [ [ - "220", - "HXB_Adrenal_1208", + "220", + "HXB_Adrenal_1208", "MDC/CAS/UCL Adrenal 230A (Dec08) RMA" ] - ], + ], "Genotypes": [ [ - "None", - "HXBBXHGeno", + "None", + "HXBBXHGeno", "HXBBXH Genotypes" ] - ], + ], "Heart mRNA": [ [ - "221", - "HXB_Heart_1208", + "221", + "HXB_Heart_1208", "MDC/CAS/UCL Heart 230_V2 (Dec08) RMA" ] - ], + ], "Hippocampus mRNA": [ [ - "231", - "UT_HippRatEx_RMA_0709", + "231", + "UT_HippRatEx_RMA_0709", "UT Hippocampus Affy RaEx 1.0 Exon (Jul09) RMA" ] - ], + ], "Kidney mRNA": [ [ - "70", - "KI_2A_0405_M", + "70", + "KI_2A_0405_M", "MDC/CAS/ICL Kidney 230A (Apr05) MAS5" - ], + ], [ - "65", - "KI_2A_0405_Rz", + "65", + "KI_2A_0405_Rz", "MDC/CAS/ICL Kidney 230A (Apr05) RMA 2z+8" - ], + ], [ - "64", - "KI_2A_0405_R", + "64", + "KI_2A_0405_R", "MDC/CAS/ICL Kidney 230A (Apr05) RMA" ] - ], + ], "Liver mRNA": [ [ - "222", - "HXB_Liver_1208", + "222", + "HXB_Liver_1208", "MDC/CAS/UCL Liver 230v2 (Dec08) RMA" ] - ], + ], "Peritoneal Fat mRNA": [ [ - "79", - "FT_2A_0805_M", + "79", + "FT_2A_0805_M", "MDC/CAS/ICL Peritoneal Fat 230A (Aug05) MAS5" - ], + ], [ - "75", - "FT_2A_0605_Rz", + "75", + "FT_2A_0605_Rz", "MDC/CAS/ICL Peritoneal Fat 230A (Jun05) RMA 2z+8" ] - ], + ], "Phenotypes": [ [ - "632", - "HXBBXHPublish", - "HXBBXH Published Phenotypes" + "632", + "HXBBXHPublish", + "HXB/BXH Published Phenotypes" ] ] - }, + }, "SRxSHRSPF2": { "Eye mRNA": [ [ - "226", - "UIOWA_Eye_RMA_0906", + "226", + "UIOWA_Eye_RMA_0906", "UIOWA Eye mRNA RAE230v2 (Sep06) RMA" ] ] } - }, + }, "soybean": { "J12XJ58F11": { "Genotypes": [ [ - "None", - "J12XJ58F11Geno", + "None", + "J12XJ58F11Geno", "J12XJ58F11 Genotypes" ] - ], + ], "Phenotypes": [ [ - "647", - "J12XJ58F11Publish", - "J12XJ58F11 Published Phenotypes" + "647", + "J12XJ58F11Publish", + "J12XJ58F11 Phenotypes" ] ] - }, + }, "J12XJ58F2": { "Phenotypes": [ [ - "616", - "J12XJ58F2Publish", + "616", + "J12XJ58F2Publish", "J12XJ58F2 Published Phenotypes" ] ] } - }, + }, "tomato": { "LXP": { "Phenotypes": [ [ - "621", - "LXPPublish", + "621", + "LXPPublish", "LXP Published Phenotypes" ] ] } } - }, + }, "groups": { - "All Species": [ - [ - "All Groups", - "All Groups" - ] - ], "arabidopsis": [ [ - "BayXSha", + "BayXSha", "BayXSha" - ], + ], [ - "ColXBur", + "ColXBur", "ColXBur" - ], + ], [ - "ColXCvi", + "ColXCvi", "ColXCvi" ] - ], + ], "barley": [ [ - "QSM", + "QSM", "QSM" - ], + ], [ - "SXM", + "SXM", "SXM" ] - ], + ], "drosophila": [ [ - "DGRP", + "DGRP", "Drosophila Genetic Reference Panel" - ], + ], [ - "Oregon-R_x_2b3", + "Oregon-R_x_2b3", "Oregon-R x 2b3" ] - ], + ], "human": [ [ - "HB", + "HB", "Brain, Aging: AD, HD, Normal Gene Expression (Harvard/Merck)" - ], + ], [ - "AD-cases-controls", + "AD-cases-controls", "Brain, Aging: AD, Normal Gene Expression (Liang)" - ], + ], [ - "AD-cases-controls-Myers", + "AD-cases-controls-Myers", "Brain, Aging: AD, Normal Gene Expression with Genotypes (Myers)" - ], + ], [ - "Aging-Brain-UCI", + "Aging-Brain-UCI", "Brain, Aging: Normal Gene Expression (UCI/Cotman)" - ], + ], [ - "HCP", + "HCP", "Brain, Cognition, Human Connectome Project" - ], + ], [ - "HSB", + "HSB", "Brain, Development: Normal Gene Expression (Yale/Sestan)" - ], + ], [ - "Brain-Normal-NIH-Gibbs", + "Brain-Normal-NIH-Gibbs", "Brain: Normal Gene Expression (NIH/Gibbs)" - ], + ], [ - "CANDLE", + "CANDLE", "Child Development: CANDLE Cohort with Genotypes (TUCI/UTHSC)" - ], + ], [ - "GTEx", + "GTEx", "GTEx v3 All Tissues, RNA-Seq with Genotypes" - ], + ], [ - "GTEx_v5", + "GTEx_v5", "GTEx v5 All Tissues, RNA-Seq with Genotypes" - ], + ], [ - "HLC", + "HLC", "Liver: Normal Gene Expression with Genotypes (Merck)" - ], + ], [ - "HLT", + "HLT", "Lung: Normal Gene Expression (Merck)" - ], + ], [ - "CEPH-2004", + "CEPH-2004", "Lymphoblastoid Cells: Gene Expression (CEPH, Williams)" - ], + ], [ - "Islets-Gerling", + "Islets-Gerling", "Pancreatic: Islets (UTHSC/Gerling)" - ], + ], [ - "TIGEM-Retina-RNA-Seq", + "TIGEM-Retina-RNA-Seq", "Retina: Normal Adult Gene Expression, RNA-Seq (TIGEM)" ] - ], + ], "mouse": [ [ - "AIL", + "AIL", "AIL Advanced Intercross Line" - ], + ], + [ + "AIL-LGSM-F34-A", + "AIL LGSM F34 (Array)" + ], + [ + "AIL-LGSM-F34-GBS", + "AIL LGSM F34 (GBS)" + ], [ - "AKXD", + "AIL-LGSM-F34-F39-43-GBS", + "AIL LGSM F34 and F39-43 (GBS)" + ], + [ + "AIL-LGSM-F39-43-GBS", + "AIL LGSM F39-43 (GBS)" + ], + [ + "AKXD", "AKXD RI Family" - ], + ], [ - "AXBXA", + "AXBXA", "AXB/BXA RI Family" - ], + ], [ - "B6BTBRF2", + "B6BTBRF2", "B6BTBRF2" - ], + ], [ - "Linsenbardt-Boehm", + "Linsenbardt-Boehm", "B6D2 EtOH Selected Advanced Intercross" - ], + ], [ - "B6D2F2", + "B6D2F2", "B6D2F2" - ], + ], [ - "B6D2F2-PSU", + "B6D2F2-PSU", "B6D2F2 PSU" - ], + ], [ - "BDF2-1999", + "BDF2-1999", "BDF2 UCLA" - ], + ], [ - "BDF2-2005", + "BDF2-2005", "BDF2-2005" - ], + ], [ - "BHHBF2", + "BHHBF2", "BH/HB F2 UCLA" - ], + ], [ - "BHF2", + "BHF2", "BHF2 (Apoe Null) UCLA" - ], + ], [ - "B6D2RI", + "B6D2RI", "BXD Aged" - ], + ], [ - "BXD-Bone", + "BXD-Bone", "BXD Bone Individual Data" - ], + ], [ - "BXD-Harvested", + "BXD-Harvested", "BXD NIA Longevity Study" - ], + ], [ - "BXD", + "BXD", "BXD RI Family" - ], + ], [ - "BXD300", + "BXD300", "BXD300" - ], + ], [ - "BXH", + "BXH", "BXH RI Family" - ], + ], [ - "CTB6F2", + "CTB6F2", "CastB6/B6Cast F2 UCLA" - ], + ], [ - "CFW", + "CFW", "CFW Outbred GWAS" - ], + ], [ - "CIE-INIA", + "CIE-INIA", "Chronic Intermittent Ethanol Phase 1" - ], + ], [ - "CIE-RMA", + "CIE-RMA", "Chronic Intermittent Ethanol Phase 2" - ], + ], [ - "CMS", + "CMS", "Chronic Mild Stress" - ], + ], [ - "CXB", + "CXB", "CXB RI Family (strain means)" - ], + ], [ - "D2GM", + "D2GM", "D2 Glaucoma Model" - ], + ], [ - "EMSR", - "Ethanol-Medicated Stress Reduction" - ], - [ - "B6D2", + "B6D2", "Glaucoma and Aged Retina, UTHSC" - ], + ], [ - "HS", + "HS", "Heterogeneous Stock" - ], + ], [ - "HS-CC", + "HS-CC", "Heterogeneous Stock Collaborative Cross" - ], + ], [ - "LXS", + "LXS", "ILSXISS (LXS) RI Family (strain means)" - ], + ], + [ + "LGSM-AIG34_50-56-GBS", + "LGSM AI G34/50-56 Lionikas (GBS)" + ], [ - "MDP", + "MDP", "Mouse Diversity Panel (strain means)" - ], + ], [ - "NZBXFVB-N2", + "NZBXFVB-N2", "NZB/FVB N2 NCI" - ], + ], [ - "C57BL-6JxC57BL-6NJF2", + "C57BL-6JxC57BL-6NJF2", "Reduced Complexity Cross (B6JxB6N F2)" - ], + ], [ - "Scripps-2013", - "Scripps C57BL/6J" - ], + "Retina-RGC-Rheaume", + "Retina RGC Rheaume" + ], [ - "SOTNOT-OHSU", + "SOTNOT-OHSU", "SOTNOT-OHSU" ] - ], + ], "poplar": [ [ - "Poplar", + "Poplar", "Poplar" ] - ], + ], "rat": [ [ - "HXBBXH", + "HXBBXH", "HXB/BXH" - ], + ], [ - "HSNIH-Palmer", + "HRDP", + "Hybrid Rat Diversity Panel" + ], + [ + "HSNIH-Palmer", "NIH Heterogeneous Stock (Palmer)" - ], + ], [ - "HSNIH-RGSMC", + "HSNIH-RGSMC", "NIH Heterogeneous Stock (RGSMC 2013)" - ], + ], [ - "SRxSHRSPF2", + "SRxSHRSPF2", "UIOWA SRxSHRSP F2" ] - ], + ], "soybean": [ [ - "J12XJ58F11", + "J12XJ58F11", "J12XJ58F11" - ], + ], [ - "J12XJ58F2", + "J12XJ58F2", "J12XJ58F2" ] - ], + ], "tomato": [ [ - "LXP", + "LXP", "LXP" ] ] - }, + }, "species": [ [ - "human", + "human", "Human (hg19)" - ], + ], [ - "mouse", + "mouse", "Mouse (mm10)" - ], + ], [ - "rat", + "rat", "Rat (rn6)" - ], + ], [ - "drosophila", + "drosophila", "Drosophila" - ], + ], [ - "arabidopsis", + "arabidopsis", "Arabidopsis thaliana" - ], + ], [ - "barley", + "barley", "Barley" - ], + ], [ - "poplar", + "poplar", "Poplar" - ], + ], [ - "soybean", + "soybean", "Soybean" - ], + ], [ - "tomato", + "tomato", "Tomato" - ], - [ - "All Species", - "All Species" ] - ], + ], "types": { - "All Species": { - "All Groups": [ - [ - "Phenotypes", - "Phenotypes" - ] - ] - }, "arabidopsis": { "BayXSha": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" ] - ], + ], "ColXBur": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" ] - ], + ], "ColXCvi": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" ] ] - }, + }, "barley": { "QSM": [ [ - "Leaf mRNA", + "Leaf mRNA", "Leaf mRNA" ] - ], + ], "SXM": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Embryo mRNA", + "Embryo mRNA", "Embryo mRNA" - ], + ], [ - "Leaf mRNA", + "Leaf mRNA", "Leaf mRNA" ] ] - }, + }, "drosophila": { "DGRP": [ [ - "Whole Body mRNA", + "Whole Body mRNA", "Whole Body mRNA" ] - ], + ], "Oregon-R_x_2b3": [ [ - "Whole Body mRNA", + "Whole Body mRNA", "Whole Body mRNA" ] ] - }, + }, "human": { "AD-cases-controls": [ [ - "Brain mRNA", + "Brain mRNA", "Brain mRNA" ] - ], + ], "AD-cases-controls-Myers": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Brain mRNA", + "Brain mRNA", "Brain mRNA" ] - ], + ], "Aging-Brain-UCI": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Entorhinal Cortex mRNA", + "Entorhinal Cortex mRNA", "Entorhinal Cortex mRNA" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Postcentral Gyrus mRNA", + "Postcentral Gyrus mRNA", "Postcentral Gyrus mRNA" - ], + ], [ - "Superior Frontal Gyrus mRNA", + "Superior Frontal Gyrus mRNA", "Superior Frontal Gyrus mRNA" ] - ], + ], "Brain-Normal-NIH-Gibbs": [ [ - "Cerebellum mRNA", + "Cerebellum mRNA", "Cerebellum mRNA" - ], + ], [ - "Pons mRNA", + "Pons mRNA", "Pons mRNA" - ], + ], [ - "Prefrontal Cortex mRNA", + "Prefrontal Cortex mRNA", "Prefrontal Cortex mRNA" - ], + ], [ - "Temporal Cerebral Wall mRNA", + "Temporal Cerebral Wall mRNA", "Temporal Cerebral Wall mRNA" ] - ], + ], "CANDLE": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Newborn Cord Blood mRNA", + "Newborn Cord Blood mRNA", "Newborn Cord Blood mRNA" ] - ], + ], "CEPH-2004": [ [ - "Lymphoblast B-cell mRNA", + "Lymphoblast B-cell mRNA", "Lymphoblast B-cell mRNA" ] - ], + ], "GTEx": [ [ - "Adipose tissue, subcutaneous mRNA", + "Adipose tissue, subcutaneous mRNA", "Adipose tissue, subcutaneous mRNA" - ], + ], [ - "Adipose tissue, visceral mRNA", + "Adipose tissue, visceral mRNA", "Adipose tissue, visceral mRNA" - ], + ], [ - "Adrenal Gland mRNA", + "Adrenal Gland mRNA", "Adrenal Gland mRNA" - ], + ], [ - "Amygdala mRNA", + "Amygdala mRNA", "Amygdala mRNA" - ], + ], [ - "Anterior Cingulate Cortex mRNA", + "Anterior Cingulate Cortex mRNA", "Anterior Cingulate Cortex mRNA" - ], + ], [ - "Aorta mRNA", + "Aorta mRNA", "Aorta mRNA" - ], + ], [ - "Blood, Cells - EBV-Transformed Lymphocytes mRNA", + "Blood, Cells - EBV-Transformed Lymphocytes mRNA", "Blood, Cells - EBV-Transformed Lymphocytes mRNA" - ], + ], [ - "Breast - Mammary Tissue mRNA", + "Breast - Mammary Tissue mRNA", "Breast - Mammary Tissue mRNA" - ], + ], [ - "Caudate mRNA", + "Caudate mRNA", "Caudate mRNA" - ], + ], [ - "Cells - EBV-Transformed Lymphocytes mRNA", + "Cells - EBV-Transformed Lymphocytes mRNA", "Cells - EBV-Transformed Lymphocytes mRNA" - ], + ], [ - "Cells - Leukemia Cell Line (CML) mRNA", + "Cells - Leukemia Cell Line (CML) mRNA", "Cells - Leukemia Cell Line (CML) mRNA" - ], + ], [ - "Cells - Transformed Fibroblasts mRNA", + "Cells - Transformed Fibroblasts mRNA", "Cells - Transformed Fibroblasts mRNA" - ], + ], [ - "Cerebellar Cortex mRNA", + "Cerebellar Cortex mRNA", "Cerebellar Cortex mRNA" - ], + ], [ - "Cerebellar Hemisphere mRNA", + "Cerebellar Hemisphere mRNA", "Cerebellar Hemisphere mRNA" - ], + ], [ - "Cerebellum mRNA", + "Cerebellum mRNA", "Cerebellum mRNA" - ], + ], [ - "Colon - Transverse mRNA", + "Colon - Transverse mRNA", "Colon - Transverse mRNA" - ], + ], [ - "Coronary mRNA", + "Coronary mRNA", "Coronary mRNA" - ], + ], [ - "Esophagus - Mucosa mRNA", + "Esophagus - Mucosa mRNA", "Esophagus - Mucosa mRNA" - ], + ], [ - "Esophagus - Muscularis mRNA", + "Esophagus - Muscularis mRNA", "Esophagus - Muscularis mRNA" - ], + ], [ - "Fallopian Tube mRNA", + "Fallopian Tube mRNA", "Fallopian Tube mRNA" - ], + ], [ - "Frontal Cortex mRNA", + "Frontal Cortex mRNA", "Frontal Cortex mRNA" - ], + ], [ - "Heart - Atrial Appendage mRNA", + "Heart - Atrial Appendage mRNA", "Heart - Atrial Appendage mRNA" - ], + ], [ - "Heart - Left Ventricle mRNA", + "Heart - Left Ventricle mRNA", "Heart - Left Ventricle mRNA" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Hypothalamus mRNA", + "Hypothalamus mRNA", "Hypothalamus mRNA" - ], + ], [ - "Kidney mRNA", + "Kidney mRNA", "Kidney mRNA" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" - ], + ], [ - "Lung mRNA", + "Lung mRNA", "Lung mRNA" - ], + ], [ - "Muscle mRNA", + "Muscle mRNA", "Muscle mRNA" - ], + ], [ - "Nerve - Tibial mRNA", + "Nerve - Tibial mRNA", "Nerve - Tibial mRNA" - ], + ], [ - "Nucleus Accumbens mRNA", + "Nucleus Accumbens mRNA", "Nucleus Accumbens mRNA" - ], + ], [ - "Ovary mRNA", + "Ovary mRNA", "Ovary mRNA" - ], + ], [ - "Pancreas mRNA", + "Pancreas mRNA", "Pancreas mRNA" - ], + ], [ - "Pituitary Gland mRNA", + "Pituitary Gland mRNA", "Pituitary Gland mRNA" - ], + ], [ - "Prostate mRNA", + "Prostate mRNA", "Prostate mRNA" - ], + ], [ - "Putamen mRNA", + "Putamen mRNA", "Putamen mRNA" - ], + ], [ - "Skin - Not Sun Exposed (Suprapubic) mRNA", + "Skin - Not Sun Exposed (Suprapubic) mRNA", "Skin - Not Sun Exposed (Suprapubic) mRNA" - ], + ], [ - "Skin - Sun Exposed (Lower leg) mRNA", + "Skin - Sun Exposed (Lower leg) mRNA", "Skin - Sun Exposed (Lower leg) mRNA" - ], + ], [ - "Spinal Cord mRNA", + "Spinal Cord mRNA", "Spinal Cord mRNA" - ], + ], [ - "Stomach mRNA", + "Stomach mRNA", "Stomach mRNA" - ], + ], [ - "Substantia Nigra mRNA", + "Substantia Nigra mRNA", "Substantia Nigra mRNA" - ], + ], [ - "Testis mRNA", + "Testis mRNA", "Testis mRNA" - ], + ], [ - "Thyroid mRNA", + "Thyroid mRNA", "Thyroid mRNA" - ], + ], [ - "Tibial mRNA", + "Tibial mRNA", "Tibial mRNA" - ], + ], [ - "Uterus mRNA", + "Uterus mRNA", "Uterus mRNA" - ], + ], [ - "Vagina mRNA", + "Vagina mRNA", "Vagina mRNA" - ], + ], [ - "Whole Blood mRNA", + "Whole Blood mRNA", "Whole Blood mRNA" ] - ], + ], "GTEx_v5": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Adipose tissue, subcutaneous mRNA", + "Adipose tissue, subcutaneous mRNA", "Adipose tissue, subcutaneous mRNA" - ], + ], [ - "Adipose tissue, visceral mRNA", + "Adipose tissue, visceral mRNA", "Adipose tissue, visceral mRNA" - ], + ], [ - "Adrenal Gland mRNA", + "Adrenal Gland mRNA", "Adrenal Gland mRNA" - ], + ], [ - "Amygdala mRNA", + "Amygdala mRNA", "Amygdala mRNA" - ], + ], [ - "Anterior Cingulate Cortex mRNA", + "Anterior Cingulate Cortex mRNA", "Anterior Cingulate Cortex mRNA" - ], + ], [ - "Aorta mRNA", + "Aorta mRNA", "Aorta mRNA" - ], + ], [ - "Bladder mRNA", + "Bladder mRNA", "Bladder mRNA" - ], + ], [ - "Bone Marrow mRNA", + "Bone Marrow mRNA", "Bone Marrow mRNA" - ], + ], [ - "Breast - Mammary Tissue mRNA", + "Breast - Mammary Tissue mRNA", "Breast - Mammary Tissue mRNA" - ], + ], [ - "Caudate mRNA", + "Caudate mRNA", "Caudate mRNA" - ], + ], [ - "Cells - EBV-Transformed Lymphocytes mRNA", + "Cells - EBV-Transformed Lymphocytes mRNA", "Cells - EBV-Transformed Lymphocytes mRNA" - ], + ], [ - "Cells - Transformed Fibroblasts mRNA", + "Cells - Transformed Fibroblasts mRNA", "Cells - Transformed Fibroblasts mRNA" - ], + ], [ - "Cerebellar Cortex mRNA", + "Cerebellar Cortex mRNA", "Cerebellar Cortex mRNA" - ], + ], [ - "Cerebellar Hemisphere mRNA", + "Cerebellar Hemisphere mRNA", "Cerebellar Hemisphere mRNA" - ], + ], [ - "Cerebellum mRNA", + "Cerebellum mRNA", "Cerebellum mRNA" - ], + ], [ - "Cervix mRNA", + "Cervix mRNA", "Cervix mRNA" - ], + ], [ - "Colon - Sigmoid mRNA", + "Colon - Sigmoid mRNA", "Colon - Sigmoid mRNA" - ], + ], [ - "Colon - Transverse mRNA", + "Colon - Transverse mRNA", "Colon - Transverse mRNA" - ], + ], [ - "Coronary mRNA", + "Coronary mRNA", "Coronary mRNA" - ], + ], [ - "Esophagus - Gastroesophageal mRNA", + "Esophagus - Gastroesophageal mRNA", "Esophagus - Gastroesophageal mRNA" - ], + ], [ - "Esophagus - Mucosa mRNA", + "Esophagus - Mucosa mRNA", "Esophagus - Mucosa mRNA" - ], + ], [ - "Esophagus - Muscularis mRNA", + "Esophagus - Muscularis mRNA", "Esophagus - Muscularis mRNA" - ], + ], [ - "Fallopian Tube mRNA", + "Fallopian Tube mRNA", "Fallopian Tube mRNA" - ], + ], [ - "Frontal Cortex mRNA", + "Frontal Cortex mRNA", "Frontal Cortex mRNA" - ], + ], [ - "Heart - Atrial Appendage mRNA", + "Heart - Atrial Appendage mRNA", "Heart - Atrial Appendage mRNA" - ], + ], [ - "Heart - Left Ventricle mRNA", + "Heart - Left Ventricle mRNA", "Heart - Left Ventricle mRNA" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Hypothalamus mRNA", + "Hypothalamus mRNA", "Hypothalamus mRNA" - ], + ], [ - "Kidney mRNA", + "Kidney mRNA", "Kidney mRNA" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" - ], + ], [ - "Lung mRNA", + "Lung mRNA", "Lung mRNA" - ], + ], [ - "Muscle mRNA", + "Muscle mRNA", "Muscle mRNA" - ], + ], [ - "Nerve - Tibial mRNA", + "Nerve - Tibial mRNA", "Nerve - Tibial mRNA" - ], + ], [ - "Nucleus Accumbens mRNA", + "Nucleus Accumbens mRNA", "Nucleus Accumbens mRNA" - ], + ], [ - "Ovary mRNA", + "Ovary mRNA", "Ovary mRNA" - ], + ], [ - "Pancreas mRNA", + "Pancreas mRNA", "Pancreas mRNA" - ], + ], [ - "Pituitary Gland mRNA", + "Pituitary Gland mRNA", "Pituitary Gland mRNA" - ], + ], [ - "Prostate mRNA", + "Prostate mRNA", "Prostate mRNA" - ], + ], [ - "Putamen mRNA", + "Putamen mRNA", "Putamen mRNA" - ], + ], [ - "Salivary Gland mRNA", + "Salivary Gland mRNA", "Salivary Gland mRNA" - ], + ], [ - "Skin - Not Sun Exposed (Suprapubic) mRNA", + "Skin - Not Sun Exposed (Suprapubic) mRNA", "Skin - Not Sun Exposed (Suprapubic) mRNA" - ], + ], [ - "Skin - Sun Exposed (Lower leg) mRNA", + "Skin - Sun Exposed (Lower leg) mRNA", "Skin - Sun Exposed (Lower leg) mRNA" - ], + ], [ - "Small Intestine - Terminal Ileum mRNA", + "Small Intestine - Terminal Ileum mRNA", "Small Intestine - Terminal Ileum mRNA" - ], + ], [ - "Spinal Cord mRNA", + "Spinal Cord mRNA", "Spinal Cord mRNA" - ], + ], [ - "Spleen mRNA", + "Spleen mRNA", "Spleen mRNA" - ], + ], [ - "Stomach mRNA", + "Stomach mRNA", "Stomach mRNA" - ], + ], [ - "Substantia Nigra mRNA", + "Substantia Nigra mRNA", "Substantia Nigra mRNA" - ], + ], [ - "Testis mRNA", + "Testis mRNA", "Testis mRNA" - ], + ], [ - "Thyroid mRNA", + "Thyroid mRNA", "Thyroid mRNA" - ], + ], [ - "Tibial mRNA", + "Tibial mRNA", "Tibial mRNA" - ], + ], [ - "Uterus mRNA", + "Uterus mRNA", "Uterus mRNA" - ], + ], [ - "Vagina mRNA", + "Vagina mRNA", "Vagina mRNA" - ], + ], [ - "Whole Blood mRNA", + "Whole Blood mRNA", "Whole Blood mRNA" ] - ], + ], "HB": [ [ - "Cerebellum mRNA", + "Cerebellum mRNA", "Cerebellum mRNA" - ], + ], [ - "Prefrontal Cortex mRNA", + "Prefrontal Cortex mRNA", "Prefrontal Cortex mRNA" - ], + ], [ - "Primary Visual Cortex mRNA", + "Primary Visual Cortex mRNA", "Primary Visual Cortex mRNA" ] - ], + ], "HCP": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" ] - ], + ], "HLC": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" ] - ], + ], "HLT": [ [ - "Lung mRNA", + "Lung mRNA", "Lung mRNA" ] - ], + ], "HSB": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Amygdala mRNA", + "Amygdala mRNA", "Amygdala mRNA" - ], + ], [ - "Cerebellar Cortex mRNA", + "Cerebellar Cortex mRNA", "Cerebellar Cortex mRNA" - ], + ], [ - "Dorsolateral Prefrontal Cortex mRNA", + "Dorsolateral Prefrontal Cortex mRNA", "Dorsolateral Prefrontal Cortex mRNA" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Inferior Temporal Cortex mRNA", + "Inferior Temporal Cortex mRNA", "Inferior Temporal Cortex mRNA" - ], + ], [ - "Medial Prefrontal Cortex mRNA", + "Medial Prefrontal Cortex mRNA", "Medial Prefrontal Cortex mRNA" - ], + ], [ - "Mediodorsal Nucleus of Thalamus mRNA", + "Mediodorsal Nucleus of Thalamus mRNA", "Mediodorsal Nucleus of Thalamus mRNA" - ], + ], [ - "Orbital Prefrontal Cortex mRNA", + "Orbital Prefrontal Cortex mRNA", "Orbital Prefrontal Cortex mRNA" - ], + ], [ - "Posterior Inferior Parietal Cortex mRNA", + "Posterior Inferior Parietal Cortex mRNA", "Posterior Inferior Parietal Cortex mRNA" - ], + ], [ - "Posterior Superior Temporal Cortex mRNA", + "Posterior Superior Temporal Cortex mRNA", "Posterior Superior Temporal Cortex mRNA" - ], + ], [ - "Primary Auditory (A1) Cortex mRNA", + "Primary Auditory (A1) Cortex mRNA", "Primary Auditory (A1) Cortex mRNA" - ], + ], [ - "Primary Motor (M1) Cortex mRNA", + "Primary Motor (M1) Cortex mRNA", "Primary Motor (M1) Cortex mRNA" - ], + ], [ - "Primary Somatosensory (S1) Cortex mRNA", + "Primary Somatosensory (S1) Cortex mRNA", "Primary Somatosensory (S1) Cortex mRNA" - ], + ], [ - "Primary Visual Cortex mRNA", + "Primary Visual Cortex mRNA", "Primary Visual Cortex mRNA" - ], + ], [ - "Striatum mRNA", + "Striatum mRNA", "Striatum mRNA" - ], + ], [ - "Ventrolateral Prefrontal Cortex mRNA", + "Ventrolateral Prefrontal Cortex mRNA", "Ventrolateral Prefrontal Cortex mRNA" ] - ], + ], "Islets-Gerling": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" ] - ], + ], "TIGEM-Retina-RNA-Seq": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Retina mRNA", + "Retina mRNA", "Retina mRNA" ] ] - }, + }, "mouse": { "AIL": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], + [ + "Genotypes", + "Genotypes" + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Prefrontal Cortex mRNA", + "Prefrontal Cortex mRNA", "Prefrontal Cortex mRNA" - ], + ], [ - "Striatum mRNA", + "Striatum mRNA", "Striatum mRNA" ] - ], + ], + "AIL-LGSM-F34-A": [ + [ + "Phenotypes", + "Phenotypes" + ] + ], + "AIL-LGSM-F34-F39-43-GBS": [ + [ + "Phenotypes", + "Phenotypes" + ] + ], + "AIL-LGSM-F34-GBS": [ + [ + "Phenotypes", + "Phenotypes" + ] + ], + "AIL-LGSM-F39-43-GBS": [ + [ + "Phenotypes", + "Phenotypes" + ] + ], "AKXD": [ [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Mammary Tumors mRNA", + "Mammary Tumors mRNA", "Mammary Tumors mRNA" ] - ], + ], "AXBXA": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Bone Femur mRNA", + "Bone Femur mRNA", "Bone Femur mRNA" - ], + ], [ - "Eye mRNA", + "Eye mRNA", "Eye mRNA" - ], + ], [ - "Heart mRNA", + "Heart mRNA", "Heart mRNA" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" ] - ], + ], "B6BTBRF2": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" ] - ], + ], "B6D2": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" ] - ], + ], "B6D2F2": [ [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Brain mRNA", + "Brain mRNA", "Brain mRNA" ] - ], + ], "B6D2F2-PSU": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" ] - ], + ], "B6D2RI": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" ] - ], + ], "BDF2-1999": [ [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" ] - ], + ], "BDF2-2005": [ [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Striatum mRNA", + "Striatum mRNA", "Striatum mRNA" ] - ], + ], "BHF2": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Adipose mRNA", + "Adipose mRNA", "Adipose mRNA" - ], + ], [ - "Brain mRNA", + "Brain mRNA", "Brain mRNA" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" ] - ], + ], "BHHBF2": [ [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Adipose mRNA", + "Adipose mRNA", "Adipose mRNA" - ], + ], [ - "Brain mRNA", + "Brain mRNA", "Brain mRNA" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" - ], + ], [ - "Muscle mRNA", + "Muscle mRNA", "Muscle mRNA" ] - ], + ], "BXD": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Adipose mRNA", + "Adipose mRNA", "Adipose mRNA" - ], + ], [ - "Adipose Proteome", + "Adipose Proteome", "Adipose Proteome" - ], + ], [ - "Adrenal Gland mRNA", + "Adrenal Gland mRNA", "Adrenal Gland mRNA" - ], + ], [ - "Amygdala mRNA", + "Amygdala mRNA", "Amygdala mRNA" - ], + ], [ - "Bone Femur mRNA", + "Bone Femur mRNA", "Bone Femur mRNA" - ], + ], [ - "Brain mRNA", + "Brain mRNA", "Brain mRNA" - ], + ], [ - "Cartilage mRNA", + "Cartilage mRNA", "Cartilage mRNA" - ], + ], [ - "Cerebellum mRNA", + "Cerebellum mRNA", "Cerebellum mRNA" - ], + ], [ - "Eye mRNA", + "Eye mRNA", "Eye mRNA" - ], + ], [ - "Fecal Metabolome", + "Fecal Metabolome", "Fecal Metabolome" - ], + ], [ - "Gastrointestinal mRNA", + "Gastrointestinal mRNA", "Gastrointestinal mRNA" - ], + ], [ - "Heart mRNA", + "Heart mRNA", "Heart mRNA" - ], + ], [ - "Hematopoietic Cells mRNA", + "Hematopoietic Cells mRNA", "Hematopoietic Cells mRNA" - ], + ], [ - "Hippocampal Precursor Cells mRNA", + "Hippocampal Precursor Cells mRNA", "Hippocampal Precursor Cells mRNA" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Hypothalamus mRNA", + "Hypothalamus mRNA", "Hypothalamus mRNA" - ], + ], [ - "Kidney mRNA", + "Kidney mRNA", "Kidney mRNA" - ], + ], [ - "Liver Metabolome", + "Liver Metabolome", "Liver Metabolome" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" - ], + ], [ - "Liver Proteome", + "Liver Proteome", "Liver Proteome" - ], + ], [ - "Lung mRNA", + "Lung mRNA", "Lung mRNA" - ], + ], [ - "Midbrain mRNA", + "Midbrain mRNA", "Midbrain mRNA" - ], + ], [ - "Muscle mRNA", + "Muscle mRNA", "Muscle mRNA" - ], + ], [ - "Neocortex mRNA", + "Neocortex mRNA", "Neocortex mRNA" - ], + ], [ - "Nucleus Accumbens mRNA", + "Nucleus Accumbens mRNA", "Nucleus Accumbens mRNA" - ], + ], [ - "Pituitary Gland mRNA", + "Pituitary Gland mRNA", "Pituitary Gland mRNA" - ], + ], [ - "Prefrontal Cortex mRNA", + "Prefrontal Cortex mRNA", "Prefrontal Cortex mRNA" - ], + ], [ - "Retina mRNA", + "Retina mRNA", "Retina mRNA" - ], + ], [ - "Spleen mRNA", + "Spleen mRNA", "Spleen mRNA" - ], + ], [ - "Striatum mRNA", + "Striatum mRNA", "Striatum mRNA" - ], + ], [ - "T Cell (helper) mRNA", + "T Cell (helper) mRNA", "T Cell (helper) mRNA" - ], + ], [ - "T Cell (regulatory) mRNA", + "T Cell (regulatory) mRNA", "T Cell (regulatory) mRNA" - ], + ], [ - "Ventral Tegmental Area mRNA", + "Ventral Tegmental Area mRNA", "Ventral Tegmental Area mRNA" ] - ], + ], "BXD-Bone": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" ] - ], + ], "BXD-Harvested": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], + [ + "Genotypes", + "Genotypes" + ], [ - "Liver mRNA", + "Hippocampus mRNA", + "Hippocampus mRNA" + ], + [ + "Liver mRNA", "Liver mRNA" ] - ], + ], "BXD300": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" ] - ], + ], "BXH": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Bone Femur mRNA", + "Bone Femur mRNA", "Bone Femur mRNA" - ], + ], [ - "Cartilage mRNA", + "Cartilage mRNA", "Cartilage mRNA" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" ] - ], + ], "C57BL-6JxC57BL-6NJF2": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" ] - ], + ], "CFW": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Prefrontal Cortex mRNA", + "Prefrontal Cortex mRNA", "Prefrontal Cortex mRNA" - ], + ], [ - "Striatum mRNA", + "Striatum mRNA", "Striatum mRNA" ] - ], + ], "CIE-INIA": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "LCM Brain Regions mRNA", + "LCM Brain Regions mRNA", "LCM Brain Regions mRNA" ] - ], + ], "CIE-RMA": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Midbrain mRNA", + "Midbrain mRNA", "Midbrain mRNA" ] - ], + ], "CMS": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" ] - ], + ], "CTB6F2": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Adipose mRNA", + "Adipose mRNA", "Adipose mRNA" - ], + ], [ - "Brain mRNA", + "Brain mRNA", "Brain mRNA" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" - ], + ], [ - "Muscle mRNA", + "Muscle mRNA", "Muscle mRNA" ] - ], + ], "CXB": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Heart mRNA", + "Heart mRNA", "Heart mRNA" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" - ], + ], [ - "Spleen mRNA", + "Spleen mRNA", "Spleen mRNA" ] - ], + ], "D2GM": [ [ - "Retina mRNA", + "Phenotypes", + "Phenotypes" + ], + [ + "Retina mRNA", "Retina mRNA" ] - ], - "EMSR": [], + ], "HS": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" - ], + ], [ - "Lung mRNA", + "Lung mRNA", "Lung mRNA" ] - ], + ], "HS-CC": [ [ - "Striatum mRNA", + "Striatum mRNA", "Striatum mRNA" ] - ], + ], + "LGSM-AIG34_50-56-GBS": [ + [ + "Phenotypes", + "Phenotypes" + ] + ], "LXS": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Prefrontal Cortex mRNA", + "Prefrontal Cortex mRNA", "Prefrontal Cortex mRNA" ] - ], + ], "Linsenbardt-Boehm": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" ] - ], + ], "MDP": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Bone Femur mRNA", + "Bone Femur mRNA", "Bone Femur mRNA" - ], + ], [ - "Dorsal Root Ganglia mRNA", + "Dorsal Root Ganglia mRNA", "Dorsal Root Ganglia mRNA" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" - ], + ], [ - "Spleen mRNA", + "Spleen mRNA", "Spleen mRNA" ] - ], + ], "NZBXFVB-N2": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Mammary Tumors mRNA", + "Mammary Tumors mRNA", "Mammary Tumors mRNA" ] - ], + ], + "Retina-RGC-Rheaume": [ + [ + "Phenotypes", + "Phenotypes" + ], + [ + "Retina Single-cell RNA-Seq", + "Retina Single-cell RNA-Seq" + ] + ], "SOTNOT-OHSU": [ [ - "Genotypes", + "Genotypes", "Genotypes" ] - ], - "Scripps-2013": [] - }, + ] + }, "poplar": { "Poplar": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" ] ] - }, + }, "rat": { + "HRDP": [ + [ + "Phenotypes", + "Phenotypes" + ], + [ + "Genotypes", + "Genotypes" + ] + ], "HSNIH-Palmer": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Hippocampus mRNA", - "Hippocampus mRNA" - ], + "Infralimbic Cortex mRNA", + "Infralimbic Cortex mRNA" + ], [ - "Nucleus Accumbens mRNA", + "Lateral Habenula mRNA", + "Lateral Habenula mRNA" + ], + [ + "Nucleus Accumbens mRNA", "Nucleus Accumbens mRNA" - ], + ], [ - "Prefrontal Cortex mRNA", - "Prefrontal Cortex mRNA" + "Orbitofrontal Cortex mRNA", + "Orbitofrontal Cortex mRNA" + ], + [ + "Prelimbic Cortex mRNA", + "Prelimbic Cortex mRNA" ] - ], + ], "HSNIH-RGSMC": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" ] - ], + ], "HXBBXH": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" - ], + ], [ - "Adipose mRNA", + "Adipose mRNA", "Adipose mRNA" - ], + ], [ - "Adrenal Gland mRNA", + "Adrenal Gland mRNA", "Adrenal Gland mRNA" - ], + ], [ - "Heart mRNA", + "Heart mRNA", "Heart mRNA" - ], + ], [ - "Hippocampus mRNA", + "Hippocampus mRNA", "Hippocampus mRNA" - ], + ], [ - "Kidney mRNA", + "Kidney mRNA", "Kidney mRNA" - ], + ], [ - "Liver mRNA", + "Liver mRNA", "Liver mRNA" - ], + ], [ - "Peritoneal Fat mRNA", + "Peritoneal Fat mRNA", "Peritoneal Fat mRNA" ] - ], + ], "SRxSHRSPF2": [ [ - "Eye mRNA", + "Eye mRNA", "Eye mRNA" ] ] - }, + }, "soybean": { "J12XJ58F11": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" - ], + ], [ - "Genotypes", + "Genotypes", "Genotypes" ] - ], + ], "J12XJ58F2": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" ] ] - }, + }, "tomato": { "LXP": [ [ - "Phenotypes", + "Phenotypes", "Phenotypes" ] ] } } -}
\ No newline at end of file +} diff --git a/wqflask/wqflask/static/new/javascript/dataset_select_menu_orig.js b/wqflask/wqflask/static/new/javascript/dataset_select_menu_orig.js index d5ce6f84..794804f4 100644 --- a/wqflask/wqflask/static/new/javascript/dataset_select_menu_orig.js +++ b/wqflask/wqflask/static/new/javascript/dataset_select_menu_orig.js @@ -1,67 +1,99 @@ -// Generated by CoffeeScript 1.8.0 -$(function() { - var apply_default, check_search_term, dataset_info, group_info, make_default, open_window, populate_dataset, populate_group, populate_species, populate_type, process_json, redo_dropdown; - process_json = function(data) { - window.jdata = data; - populate_species(); - if ($('#type').length > 0) { //This is to determine if it's the index page or the submit_trait page (which only has species and group selection and no make default option) - return apply_default(); - } - }; - $.ajax('/static/new/javascript/dataset_menu_structure.json', { - dataType: 'json', - success: process_json - }); - populate_species = function() { - var species_list; - species_list = this.jdata.species; - redo_dropdown($('#species'), species_list); - return populate_group(); - }; - window.populate_species = populate_species; - populate_group = function() { - var group_list, species; - console.log("in populate group"); - species = $('#species').val(); - group_list = this.jdata.groups[species]; - for (_i = 0, _len = group_list.length; _i < (_len - 1); _i++) { - if (group_list[_i][0] == "BXD300"){ - group_list.splice(_i, 1) - } +var apply_default, check_search_term, dataset_info, group_info, make_default, open_window, populate_dataset, populate_group, populate_species, populate_type, process_json, redo_dropdown; +process_json = function(data) { + window.jdata = data; + populate_species(); + if ($('#type').length > 0) { //This is to determine if it's the index page or the submit_trait page (which only has species and group selection and no make default option) + return apply_default(); + } +}; +$.ajax('/api/v_pre1/gen_dropdown', { + dataType: 'json', + success: process_json +}); + +populate_species = function() { + var species_list; + species_list = this.jdata.species; + redo_dropdown($('#species'), species_list); + return populate_group(); +}; +window.populate_species = populate_species; +populate_group = function() { + var group_list, species; + console.log("in populate group"); + species = $('#species').val(); + group_list = this.jdata.groups[species]; + for (_i = 0, _len = group_list.length; _i < (_len - 1); _i++) { + if (group_list[_i][0] == "BXD300"){ + group_list.splice(_i, 1) + } + } + redo_dropdown($('#group'), group_list); + if ($('#type').length > 0) { //This is to determine if it's the index page or the submit_trait page (which only has species and group selection and no make default option) + return populate_type(); + } +}; +window.populate_group = populate_group; +populate_type = function() { + var group, species, type_list; + console.log("in populate type"); + species = $('#species').val(); + group = $('#group').val(); + type_list = this.jdata.types[species][group]; + redo_dropdown($('#type'), type_list); + return populate_dataset(); +}; +window.populate_type = populate_type; +populate_dataset = function() { + var dataset_list, group, species, type; + console.log("in populate dataset"); + species = $('#species').val(); + group = $('#group').val(); + type = $('#type').val(); + console.log("sgt:", species, group, type); + dataset_list = this.jdata.datasets[species][group][type]; + console.log("pop_dataset:", dataset_list); + return redo_dropdown($('#dataset'), dataset_list); +}; +window.populate_dataset = populate_dataset; +redo_dropdown = function(dropdown, items) { + var item, _i, _len, _results; + console.log("in redo:", dropdown, items); + dropdown.empty(); + _results = []; + + if (dropdown.attr('id') == "group"){ + group_family_list = []; + for (_i = 0, _len = items.length; _i < _len; _i++) { + item = items[_i]; + group_family = item[2].toString().split(":")[1] + group_family_list.push([item[0], item[1], group_family]) } - redo_dropdown($('#group'), group_list); - if ($('#type').length > 0) { //This is to determine if it's the index page or the submit_trait page (which only has species and group selection and no make default option) - return populate_type(); + + current_family = "" + this_opt_group = null + for (_i = 0, _len = group_family_list.length; _i < _len; _i++) { + item = group_family_list[_i]; + if (item[2] != "None" && current_family == ""){ + current_family = item[2] + this_opt_group = $("<optgroup label=\"" + item[2] + "\">") + this_opt_group.append($("<option />").val(item[0]).text(item[1])); + } else if (current_family != "" && item[2] == current_family){ + this_opt_group.append($("<option />").val(item[0]).text(item[1])); + } else if (current_family != "" && item[2] != current_family && item[2] != "None"){ + current_family = item[2] + _results.push(dropdown.append(this_opt_group)) + this_opt_group = $("<optgroup label=\"" + current_family + "\">") + this_opt_group.append($("<option />").val(item[0]).text(item[1])); + } else if (current_family != "" && this_opt_group != null && item[2] == "None"){ + _results.push(dropdown.append(this_opt_group)) + current_family = "" + _results.push(dropdown.append($("<option />").val(item[0]).text(item[1]))); + } else { + _results.push(dropdown.append($("<option />").val(item[0]).text(item[1]))); + } } - }; - window.populate_group = populate_group; - populate_type = function() { - var group, species, type_list; - console.log("in populate type"); - species = $('#species').val(); - group = $('#group').val(); - type_list = this.jdata.types[species][group]; - redo_dropdown($('#type'), type_list); - return populate_dataset(); - }; - window.populate_type = populate_type; - populate_dataset = function() { - var dataset_list, group, species, type; - console.log("in populate dataset"); - species = $('#species').val(); - group = $('#group').val(); - type = $('#type').val(); - console.log("sgt:", species, group, type); - dataset_list = this.jdata.datasets[species][group][type]; - console.log("pop_dataset:", dataset_list); - return redo_dropdown($('#dataset'), dataset_list); - }; - window.populate_dataset = populate_dataset; - redo_dropdown = function(dropdown, items) { - var item, _i, _len, _results; - console.log("in redo:", dropdown, items); - dropdown.empty(); - _results = []; + } else { for (_i = 0, _len = items.length; _i < _len; _i++) { item = items[_i]; if (item.length > 2){ @@ -70,101 +102,107 @@ $(function() { _results.push(dropdown.append($("<option />").val(item[0]).text(item[1]))); } } - return _results; - }; - $('#species').change((function(_this) { - return function() { - return populate_group(); - }; - })(this)); - $('#group').change((function(_this) { - return function() { - if ($('#type').length > 0) { //This is to determine if it's the index page or the submit_trait page (which only has species and group selection and no make default option) - return populate_type(); - } - else { - return false - } - }; - })(this)); - $('#type').change((function(_this) { - return function() { - return populate_dataset(); - }; - })(this)); - open_window = function(url, name) { - var options; - options = "menubar=1,toolbar=1,location=1,resizable=1,status=1,scrollbars=1,directories=1,width=900"; - return open(url, name, options).focus(); - }; - group_info = function() { - var group, species, url; - species = $('#species').val(); - group = $('#group').val(); - url = "/" + species + "Cross.html#" + group; - return open_window(url, "Group Info"); - }; - $('#group_info').click(group_info); - dataset_info = function() { - var dataset, url; - accession_id = $('#dataset option:selected').data("id"); - url = "http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&GN_AccessionId=" + accession_id; - return open_window(url, "Dataset Info"); - }; - $('#dataset_info').click(dataset_info); - make_default = function() { - var holder, item, jholder, _i, _len, _ref; - alert("The current settings are now your default.") - holder = {}; - _ref = ['species', 'group', 'type', 'dataset']; - for (_i = 0, _len = _ref.length; _i < _len; _i++) { - item = _ref[_i]; - holder[item] = $("#" + item).val(); - } - jholder = JSON.stringify(holder); - return $.cookie('search_defaults', jholder, { - expires: 365 - }); + } + return _results; +}; +$('#species').change((function(_this) { + return function() { + return populate_group(); }; - apply_default = function() { - var defaults, item, populate_function, _i, _len, _ref, _results; - defaults = $.cookie('search_defaults'); - if (defaults) { - defaults = $.parseJSON(defaults); - } else { - defaults = { - species: "mouse", - group: "BXD", - type: "Hippocampus mRNA", - dataset: "HC_M2_0606_P" - }; +})(this)); +$('#group').change((function(_this) { + return function() { + if ($('#type').length > 0) { //This is to determine if it's the index page or the submit_trait page (which only has species and group selection and no make default option) + return populate_type(); } - _ref = [['species', 'group'], ['group', 'type'], ['type', 'dataset'], ['dataset', null]]; - _results = []; - for (_i = 0, _len = _ref.length; _i < _len; _i++) { - item = _ref[_i]; - $("#" + item[0]).val(defaults[item[0]]); - if (item[1]) { - populate_function = "populate_" + item[1]; - console.log("Calling:", populate_function); - _results.push(window[populate_function]()); - } else { - _results.push(void 0); - } + else { + return false } - return _results; }; - check_search_term = function() { - var or_search_term, and_search_term; - or_search_term = $('#or_search').val(); - and_search_term = $('#and_search').val(); - console.log("or_search_term:", or_search_term); - console.log("and_search_term:", and_search_term); - if (or_search_term === "" && and_search_term === "") { - alert("Please enter one or more search terms or search equations."); - return false; - } +})(this)); +$('#type').change((function(_this) { + return function() { + return populate_dataset(); }; - $("#make_default").click(make_default); - return $("#btsearch").click(check_search_term); -}); +})(this)); +open_window = function(url, name) { + var options; + options = "menubar=yes,toolbar=yes,titlebar=yes,location=yes,resizable=yes,status=yes,scrollbars=yes,directories=yes,width=900"; + return open(url, name, options).focus(); +}; +group_info = function() { + var group, species, url; + species = $('#species').val(); + group = $('#group').val(); + url = "/" + species + "Cross.html#" + group; + return open_window(url, "Group Info"); +}; +$('#group_info').click(group_info); +dataset_info = function() { + var dataset, url; + accession_id = $('#dataset option:selected').data("id"); + name = $('#dataset option:selected').val(); + if (accession_id != "None") { + url = "http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&GN_AccessionId=" + accession_id + "&InfoPageName=" + name; + } else { + url = "http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&InfoPageName=" + name; + } + return open_window(url, "Dataset Info"); +}; +$('#dataset_info').click(dataset_info); +make_default = function() { + var holder, item, jholder, _i, _len, _ref; + alert("The current settings are now your default.") + holder = {}; + _ref = ['species', 'group', 'type', 'dataset']; + for (_i = 0, _len = _ref.length; _i < _len; _i++) { + item = _ref[_i]; + holder[item] = $("#" + item).val(); + } + jholder = JSON.stringify(holder); + return $.cookie('search_defaults', jholder, { + expires: 365 + }); +}; +apply_default = function() { + var defaults, item, populate_function, _i, _len, _ref, _results; + defaults = $.cookie('search_defaults'); + if (defaults) { + defaults = $.parseJSON(defaults); + } else { + defaults = { + species: "mouse", + group: "BXD", + type: "Hippocampus mRNA", + dataset: "HC_M2_0606_P" + }; + } + + _ref = [['species', 'group'], ['group', 'type'], ['type', 'dataset'], ['dataset', null]]; + _results = []; + for (_i = 0, _len = _ref.length; _i < _len; _i++) { + item = _ref[_i]; + $("#" + item[0]).val(defaults[item[0]]); + if (item[1]) { + populate_function = "populate_" + item[1]; + console.log("Calling:", populate_function); + _results.push(window[populate_function]()); + } else { + _results.push(void 0); + } + } + return _results; +}; +check_search_term = function() { + var or_search_term, and_search_term; + or_search_term = $('#or_search').val(); + and_search_term = $('#and_search').val(); + console.log("or_search_term:", or_search_term); + console.log("and_search_term:", and_search_term); + if (or_search_term === "" && and_search_term === "") { + alert("Please enter one or more search terms or search equations."); + return false; + } +}; +$("#make_default").click(make_default); +$("#btsearch").click(check_search_term); diff --git a/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot.coffee b/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot.coffee deleted file mode 100644 index 057c4ee2..00000000 --- a/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot.coffee +++ /dev/null @@ -1,37 +0,0 @@ -# illustration of use of the scatterplot function
-
-h = 400
-w = 500
-margin = {left:60, top:40, right:40, bottom: 40, inner:5}
-halfh = (h+margin.top+margin.bottom)
-totalh = halfh*2
-halfw = (w+margin.left+margin.right)
-totalw = halfw*2
-
-# Example 1: simplest use
-#d3.json "data.json", (data) ->
-mychart = scatterplot().xvar(0)
- .yvar(1)
- .xlab(js_data.trait_1)
- .ylab(js_data.trait_2)
- .height(h)
- .width(w)
- .margin(margin)
-
-data = js_data.data
-indID = js_data.indIDs
-slope = js_data.slope
-intercept = js_data.intercept
-
-console.log("THE DATA IS:", data)
-
-d3.select("div#chart1")
- .datum({data:data, indID:indID, slope:slope, intercept:intercept})
- .call(mychart)
-
-# animate points
-mychart.pointsSelect()
- .on "mouseover", (d) ->
- d3.select(this).attr("r", mychart.pointsize()*3)
- .on "mouseout", (d) ->
- d3.select(this).attr("r", mychart.pointsize())
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot.js b/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot.js index 57dae378..a0a88773 100644 --- a/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot.js +++ b/wqflask/wqflask/static/new/javascript/draw_corr_scatterplot.js @@ -1,37 +1,151 @@ var chart; var srchart; +x_val_range = js_data.x_range[1] - js_data.x_range[0] +y_val_range = js_data.y_range[1] - js_data.y_range[0] + +if (x_val_range >= 2 && x_val_range < 9){ + x_tick_digits = '.1f' +} else if (x_val_range >= 0.8 && x_val_range < 2) { + x_tick_digits = '.2f' +} else if (x_val_range < 0.8) { + x_tick_digits = '.3f' +} else { + x_tick_digits = 'f' +} + +if (y_val_range >= 2 && y_val_range < 8){ + y_tick_digits = '.1f' +} else if (y_val_range >= 0.8 && y_val_range < 2) { + y_tick_digits = '.2f' +} else if (y_val_range < 0.8) { + y_tick_digits = '.3f' +} else { + y_tick_digits = 'f' +} + +console.log("y_digits:", y_tick_digits) + var layout = { height: 700, width: 800, margin: { - l: 60, + l: 70, r: 30, - t: 80, + t: 90, b: 50 }, xaxis: { + range: [js_data.x_range[0], js_data.x_range[1]], title: js_data.trait_1, zeroline: false, visible: true, linecolor: 'black', linewidth: 1, + ticklen: 4, + tickformat: x_tick_digits }, yaxis: { + range: [js_data.y_range[0], js_data.y_range[1]], title: js_data.trait_2, zeroline: false, visible: true, linecolor: 'black', linewidth: 1, + ticklen: 4, + tickformat: y_tick_digits, + automargin: true + }, + hovermode: "closest", + showlegend: false, + annotations:[{ + xref: 'paper', + yref: 'paper', + x: 1, + xanchor: 'right', + y: 1.05, + yanchor: 'top', + text: '<i>r</i> = ' + js_data.r_value.toFixed(3) + ', <i>p</i> = ' + js_data.p_value.toExponential(3) + ', <i>n</i> = ' + js_data.num_overlap, + showarrow: false, + font: { + size: 14 + }, } + ] +} + +var sr_layout = { + height: 700, + width: 800, + margin: { + l: 60, + r: 30, + t: 80, + b: 50 + }, + xaxis: { + range: [js_data.sr_range[0], js_data.sr_range[1]], + title: js_data.trait_1, + zeroline: false, + visible: true, + linecolor: 'black', + linewidth: 1, + }, + yaxis: { + range: [js_data.sr_range[0], js_data.sr_range[1]], + title: js_data.trait_2, + zeroline: false, + visible: true, + linecolor: 'black', + linewidth: 1, + }, + hovermode: "closest", + showlegend: false, + annotations:[{ + xref: 'paper', + yref: 'paper', + x: 1, + xanchor: 'right', + y: 1.05, + yanchor: 'top', + text: '<i>r</i> = ' + js_data.srr_value.toFixed(3) + ', <i>P</i> = ' + js_data.srp_value.toExponential(3) + ', <i>n</i> = ' + js_data.num_overlap, + showarrow: false, + font: { + size: 14 + }, + } +] +} + +var modebar_options = { + modeBarButtonsToAdd:[{ + name: 'Export as SVG', + icon: Plotly.Icons.camera, + click: function(gd) { + Plotly.downloadImage(gd, {format: 'svg'}) + } + }, + { + name: 'Export as JPEG', + icon: Plotly.Icons.disk, + click: function(gd) { + Plotly.downloadImage(gd, {format: 'jpeg'}) + } + }], + modeBarButtonsToRemove:['toImage', 'sendDataToCloud', 'hoverClosest', 'hoverCompare', 'hoverClosestCartesian', 'hoverCompareCartesian', 'lasso2d', 'toggleSpikelines'], + displaylogo: false } cofactor1_dict = {} ranked_cofactor1_dict = {} -cofactor1_values = [] -ranked_cofactor1_values = [] +//cofactor1_values = [] +//ranked_cofactor1_values = [] cofactor2_dict = {} ranked_cofactor2_dict = {} +//cofactor2_values = [] +//ranked_cofactor2_values = [] +cofactor3_dict = {} +ranked_cofactor3_dict = {} function drawg() { x_values = [] @@ -43,14 +157,24 @@ function drawg() { sample_names.push(js_data.indIDs[j]) } - var trace = { + var trace1 = { x: x_values, y: y_values, mode: 'markers', - text: sample_names + text: sample_names, + hoverinfo: "text+x+y" + } + + var trace2 = { + x: [js_data.intercept_coords[0][0], js_data.intercept_coords[1][0]], + y: [js_data.intercept_coords[0][1], js_data.intercept_coords[1][1]], + mode: 'lines', + line: { + color: 'rgb(250, 60, 73)' + } } - Plotly.newPlot('scatterplot2', [trace], layout) + Plotly.newPlot('scatterplot2', [trace2, trace1], layout, modebar_options) } @@ -64,14 +188,15 @@ function srdrawg() { sample_names.push(js_data.indIDs[j]) } - var trace = { + var trace1 = { x: x_values, y: y_values, mode: 'markers', - text: sample_names + text: sample_names, + hoverinfo: "text+x+y" } - Plotly.newPlot('srscatterplot2', [trace], layout) + Plotly.newPlot('srscatterplot2', [trace1], sr_layout, modebar_options) } function getdata() { @@ -82,36 +207,60 @@ function getdata() { intercept: js_data.intercept }); - sizemin = 1; - sizemax = 50; + sizemin = 8; + sizemax = 30; + + samples1 = []; + samples2 = []; + samples3 = []; if ($('input[name=cofactor1_vals]').val()){ - just_vals = [] + vals1 = [] val_sample_dict = {} val_sample_pairs = $('input[name=cofactor1_vals]').val().split(",") for (i=0; i < val_sample_pairs.length; i++) { - just_vals.push(parseFloat(val_sample_pairs[i].split(":")[1])) + samples1.push(val_sample_pairs[i].split(":")[0]) + vals1.push(parseFloat(val_sample_pairs[i].split(":")[1])) val_sample_dict[val_sample_pairs[i].split(":")[0]] = parseFloat(val_sample_pairs[i].split(":")[1]) } + datamin1 = d3.min(vals1); + datamax1 = d3.max(vals1); cofactor1_dict = val_sample_dict - cofactor1_values = just_vals + cofactor1_values = vals1 } if ($('input[name=cofactor2_vals]').val()){ - vals_3 = []; - samples_3 = []; + vals2 = []; val_sample_dict = {} val_sample_pairs = $('input[name=cofactor2_vals]').val().split(",") for (i=0; i < val_sample_pairs.length; i++) { - samples_3.push(val_sample_pairs[i].split(":")[0]) - vals_3.push(parseFloat(val_sample_pairs[i].split(":")[1])) + samples2.push(val_sample_pairs[i].split(":")[0]) + vals2.push(parseFloat(val_sample_pairs[i].split(":")[1])) val_sample_dict[val_sample_pairs[i].split(":")[0]] = val_sample_pairs[i].split(":")[1] } - datamin = d3.min(vals_3); - datamax = d3.max(vals_3); + datamin2 = d3.min(vals2); + datamax2 = d3.max(vals2); cofactor2_dict = val_sample_dict + cofactor2_values = vals2 + } + + if ($('input[name=cofactor3_vals]').val()){ + vals3 = []; + val_sample_dict = {} + val_sample_pairs = $('input[name=cofactor3_vals]').val().split(",") + for (i=0; i < val_sample_pairs.length; i++) { + samples3.push(val_sample_pairs[i].split(":")[0]) + vals3.push(parseFloat(val_sample_pairs[i].split(":")[1])) + val_sample_dict[val_sample_pairs[i].split(":")[0]] = val_sample_pairs[i].split(":")[1] + } + + datamin3 = d3.min(vals3); + datamax3 = d3.max(vals3); + + cofactor3_dict = val_sample_dict + cofactor3_values = vals3 } x_values = [] @@ -119,10 +268,76 @@ function getdata() { sample_names = [] sizes = [] + size_cofactor_vals = [] + if ($('#cofactor1_type option:selected').val() == "size" && $('input[name=cofactor1_vals]').val()){ + size_cofactor_vals = cofactor1_values + cofactor_samples = samples1 + datamin = datamin1 + datamax = datamax1 + } else if ($('#cofactor2_type option:selected').val() == "size" && $('input[name=cofactor2_vals]').val()) { + size_cofactor_vals = cofactor2_values + cofactor_samples = samples2 + datamin = datamin2 + datamax = datamax2 + } else if ($('#cofactor3_type option:selected').val() == "size" && $('input[name=cofactor3_vals]').val()) { + size_cofactor_vals = cofactor3_values + cofactor_samples = samples3 + datamin = datamin3 + datamax = datamax3 + } + + unique_vals = [] + symbol_cofactor_vals = [] + if ($('#cofactor1_type option:selected').val() == "symbol" && $('input[name=cofactor1_vals]').val()){ + symbol_cofactor_vals = cofactor1_values + cofactor_samples = samples1 + } else if ($('#cofactor2_type option:selected').val() == "symbol" && $('input[name=cofactor2_vals]').val()) { + symbol_cofactor_vals = cofactor2_values + cofactor_samples = samples2 + } else if ($('#cofactor3_type option:selected').val() == "symbol" && $('input[name=cofactor3_vals]').val()) { + symbol_cofactor_vals = cofactor3_values + cofactor_samples = samples3 + } + + symbol_list = [] + if (symbol_cofactor_vals.length > 0) { + unique_vals = [...new Set(symbol_cofactor_vals)] + for (i=0; i<symbol_cofactor_vals.length; i++){ + val_pos = unique_vals.indexOf(symbol_cofactor_vals[i]) + if (val_pos != "-1") { + symbol_list.push(val_pos) + } else { + symbol_list.push(0) + } + } + } + + //This is needed to calculate samples shared by cofactors + cofactor_samples_array = [] + if (samples1.length > 0){ + cofactor_samples_array.push(samples1) + } + if (samples2.length > 0){ + cofactor_samples_array.push(samples2) + } + if (samples3.length > 0){ + cofactor_samples_array.push(samples3) + } + if (cofactor_samples_array.length > 0){ + shared_samples = _.intersection.apply(_, cofactor_samples_array) + } else { + shared_samples = js_data.indIDs + } + for (j = 0; j < js_data.data[0].length; j++) { - if ($('input[name=cofactor2_vals]').val()){ - if (samples_3.indexOf(js_data.indIDs[j])) { - datav = vals_3[j] + + if (shared_samples.indexOf(js_data.indIDs[j]) == -1) { + continue + } + + if (size_cofactor_vals.length > 0){ + if (cofactor_samples.indexOf(js_data.indIDs[j])) { + datav = size_cofactor_vals[j] sizev = map1to2(datamin, datamax, sizemin, sizemax, datav); } } else { @@ -155,20 +370,49 @@ function getdata() { if (sample_names[j] in cofactor2_dict){ this_text += "<br>Cofactor 2: " + cofactor2_dict[sample_names[j]] } + if (sample_names[j] in cofactor3_dict){ + this_text += "<br>Cofactor 3: " + cofactor3_dict[sample_names[j]] + } point_text.push(this_text) } - var trace = { + if (symbol_list.length > 0) { + var trace1 = { + x: x_values, + y: y_values, + mode: 'markers', + text: point_text, + hoverinfo: "text+x+y", + marker: { + color: 'rgb(66, 66, 245)', + symbol: symbol_list, + size: sizes + } + } + } else { + var trace1 = { x: x_values, y: y_values, mode: 'markers', text: point_text, + hoverinfo: "text+x+y", marker: { + color: 'rgb(66, 66, 245)', size: sizes } + } } - return [trace]; + var trace2 = { + x: [js_data.intercept_coords[0][0], js_data.intercept_coords[1][0]], + y: [js_data.intercept_coords[0][1], js_data.intercept_coords[1][1]], + mode: 'lines', + line: { + color: 'rgb(250, 60, 73)' + } + } + + return [trace2, trace1]; } function map1to2 (min1, max1, min2, max2, v1) { @@ -184,47 +428,138 @@ function srgetdata() { intercept: js_data.srintercept }); - sizemin = 1; - sizemax = 50; + sizemin = 8; + sizemax = 30; - x_values = [] - y_values = [] - sample_names = [] - sizes = [] + ranked_cofactor_vals = "" + + samples1 = []; + samples2 = []; + samples3 = []; if ($('input[name=ranked_cofactor1_vals]').val()){ - just_vals = [] + vals1 = [] val_sample_dict = {} val_sample_pairs = $('input[name=ranked_cofactor1_vals]').val().split(",") for (i=0; i < val_sample_pairs.length; i++) { - just_vals.push(parseFloat(val_sample_pairs[i].split(":")[1])) + samples1.push(val_sample_pairs[i].split(":")[0]) + vals1.push(parseFloat(val_sample_pairs[i].split(":")[1])) val_sample_dict[val_sample_pairs[i].split(":")[0]] = parseFloat(val_sample_pairs[i].split(":")[1]) } + datamin1 = d3.min(vals1); + datamax1 = d3.max(vals1); ranked_cofactor1_dict = val_sample_dict - ranked_cofactor1_values = just_vals + ranked_cofactor1_values = vals1 } if ($('input[name=ranked_cofactor2_vals]').val()){ - vals_3 = [] - samples_3 = []; + vals2 = []; val_sample_dict = {} val_sample_pairs = $('input[name=ranked_cofactor2_vals]').val().split(",") - for (i=0; i<val_sample_pairs.length; i++){ - samples_3.push(val_sample_pairs[i].split(":")[0]) - vals_3.push(val_sample_pairs[i].split(":")[1]) + for (i=0; i < val_sample_pairs.length; i++) { + samples2.push(val_sample_pairs[i].split(":")[0]) + vals2.push(parseFloat(val_sample_pairs[i].split(":")[1])) val_sample_dict[val_sample_pairs[i].split(":")[0]] = val_sample_pairs[i].split(":")[1] } - datamin = d3.min(vals_3); - datamax = d3.max(vals_3); + datamin2 = d3.min(vals2); + datamax2 = d3.max(vals2); ranked_cofactor2_dict = val_sample_dict + ranked_cofactor2_values = vals2 + } + + if ($('input[name=ranked_cofactor3_vals]').val()){ + vals3 = []; + val_sample_dict = {} + val_sample_pairs = $('input[name=ranked_cofactor3_vals]').val().split(",") + for (i=0; i < val_sample_pairs.length; i++) { + samples3.push(val_sample_pairs[i].split(":")[0]) + vals3.push(parseFloat(val_sample_pairs[i].split(":")[1])) + val_sample_dict[val_sample_pairs[i].split(":")[0]] = val_sample_pairs[i].split(":")[1] + } + + datamin3 = d3.min(vals3); + datamax3 = d3.max(vals3); + + ranked_cofactor3_dict = val_sample_dict + ranked_cofactor3_values = vals3 + } + + x_values = [] + y_values = [] + sample_names = [] + sizes = [] + + if ($('#cofactor1_type option:selected').val() == "size" && $('input[name=ranked_cofactor1_vals]').val()){ + size_cofactor_vals = ranked_cofactor1_values + cofactor_samples = samples1 + datamin = datamin1 + datamax = datamax1 + } else if ($('#cofactor2_type option:selected').val() == "size" && $('input[name=ranked_cofactor2_vals]').val()) { + size_cofactor_vals = ranked_cofactor2_values + cofactor_samples = samples2 + datamin = datamin2 + datamax = datamax2 + } else if ($('#cofactor3_type option:selected').val() == "size" && $('input[name=ranked_cofactor3_vals]').val()) { + size_cofactor_vals = ranked_cofactor3_values + cofactor_samples = samples3 + datamin = datamin3 + datamax = datamax3 + } + + unique_vals = [] + symbol_cofactor_vals = [] + if ($('#cofactor1_type option:selected').val() == "symbol" && $('input[name=ranked_cofactor1_vals]').val()){ + symbol_cofactor_vals = cofactor1_values + cofactor_samples = samples1 + } else if ($('#cofactor2_type option:selected').val() == "symbol" && $('input[name=ranked_cofactor2_vals]').val()) { + symbol_cofactor_vals = cofactor2_values + cofactor_samples = samples2 + } else if ($('#cofactor3_type option:selected').val() == "symbol" && $('input[name=ranked_cofactor3_vals]').val()) { + symbol_cofactor_vals = cofactor3_values + cofactor_samples = samples3 + } + + symbol_list = [] + if (symbol_cofactor_vals.length > 0) { + unique_vals = [...new Set(symbol_cofactor_vals)] + for (i=0; i<symbol_cofactor_vals.length; i++){ + val_pos = unique_vals.indexOf(symbol_cofactor_vals[i]) + if (val_pos != "-1") { + symbol_list.push(val_pos) + } else { + symbol_list.push(0) + } + } + } + + //This is needed to calculate samples shared by cofactors + cofactor_samples_array = [] + if (samples1.length > 0){ + cofactor_samples_array.push(samples1) + } + if (samples2.length > 0){ + cofactor_samples_array.push(samples2) + } + if (samples3.length > 0){ + cofactor_samples_array.push(samples3) + } + if (cofactor_samples_array.length > 0){ + shared_samples = _.intersection.apply(_, cofactor_samples_array) + } else { + shared_samples = js_data.indIDs } for (j = 0; j < js_data.rdata[0].length; j++) { - if ($('input[name=ranked_cofactor2_vals]').val()){ - if (samples_3.indexOf(js_data.indIDs[j])) { - datav = vals_3[j] + + if (shared_samples.indexOf(js_data.indIDs[j]) == -1) { + continue + } + + if (size_cofactor_vals.length > 0){ + if (cofactor_samples.indexOf(js_data.indIDs[j])) { + datav = size_cofactor_vals[j] sizev = map1to2(datamin, datamax, sizemin, sizemax, datav); } } else { @@ -255,20 +590,35 @@ function srgetdata() { if (sample_names[j] in ranked_cofactor2_dict){ this_text += "<br>Cofactor 2: " + ranked_cofactor2_dict[sample_names[j]] } + if (sample_names[j] in cofactor3_dict){ + this_text += "<br>Cofactor 3: " + ranked_cofactor3_dict[sample_names[j]] + } point_text.push(this_text) } - var trace = { + var trace1 = { x: x_values, y: y_values, mode: 'markers', text: point_text, + hoverinfo: "text+x+y", marker: { + color: 'rgb(66, 66, 245)', + symbol: symbol_list, size: sizes } } - return [trace]; + var trace2 = { + x: [js_data.sr_intercept_coords[0][0], js_data.sr_intercept_coords[1][0]], + y: [js_data.sr_intercept_coords[0][1], js_data.sr_intercept_coords[1][1]], + mode: 'lines', + line: { + color: 'rgb(250, 60, 73)' + } + } + + return [trace2, trace1]; } function chartupdatewh() { @@ -280,40 +630,69 @@ function chartupdatewh() { width: width } - Plotly.newPlot('scatterplot2', getdata(), layout) + Plotly.newPlot('scatterplot2', getdata(), layout, modebar_options) Plotly.relayout('scatterplot2', width_height_update) - Plotly.newPlot('srscatterplot2', srgetdata(), layout) + + Plotly.newPlot('srscatterplot2', srgetdata(), sr_layout, modebar_options) Plotly.relayout('srscatterplot2', width_height_update) } function colorer(d) { - datamin = d3.min(cofactor1_values); - datamax = d3.max(cofactor1_values); + if ($('#cofactor1_type option:selected').val() == "color"){ + datamin = d3.min(cofactor1_values); + datamax = d3.max(cofactor1_values); + } else if ($('#cofactor2_type option:selected').val() == "color"){ + datamin = d3.min(cofactor2_values); + datamax = d3.max(cofactor2_values); + } else { + datamin = d3.min(cofactor3_values); + datamax = d3.max(cofactor3_values); + } colormin = $("#cocolorfrom").val(); colormax = $("#cocolorto").val(); - compute = d3.interpolate(colormin, colormax); + compute = d3.interpolate("#"+colormin, "#"+colormax); linear = d3.scale.linear().domain([datamin, datamax]).range([0,1]); this_sample = d.tx.split("<br>")[0] - c = compute(linear(cofactor1_dict[this_sample])); + if ($('#cofactor1_type option:selected').val() == "color"){ + c= compute(linear(cofactor1_dict[this_sample])); + } else if ($('#cofactor2_type option:selected').val() == "color"){ + c= compute(linear(cofactor2_dict[this_sample])); + } else { + c= compute(linear(cofactor3_dict[this_sample])); + } return c; } function ranked_colorer(d) { - datamin = d3.min(ranked_cofactor1_values); - datamax = d3.max(ranked_cofactor1_values); + if ($('#cofactor1_type option:selected').val() == "color"){ + datamin = d3.min(ranked_cofactor1_values); + datamax = d3.max(ranked_cofactor1_values); + } else if ($('#cofactor2_type option:selected').val() == "color"){ + datamin = d3.min(ranked_cofactor2_values); + datamax = d3.max(ranked_cofactor2_values); + } else { + datamin = d3.min(ranked_cofactor3_values); + datamax = d3.max(ranked_cofactor3_values); + } colormin = $("#cocolorfrom").val(); colormax = $("#cocolorto").val(); - compute = d3.interpolate(colormin, colormax); + compute = d3.interpolate("#"+colormin, "#"+colormax); linear = d3.scale.linear().domain([datamin, datamax]).range([0,1]); this_sample = d.tx.split("<br>")[0] - c= compute(linear(ranked_cofactor1_dict[this_sample])); + if ($('#cofactor1_type option:selected').val() == "color"){ + c= compute(linear(ranked_cofactor1_dict[this_sample])); + } else if ($('#cofactor2_type option:selected').val() == "color"){ + c= compute(linear(ranked_cofactor2_dict[this_sample])); + } else { + c= compute(linear(ranked_cofactor3_dict[this_sample])); + } return c; } @@ -329,22 +708,53 @@ function chartupdatedata() { title: "Spearman Rank Correlation Scatterplot" } - Plotly.newPlot('scatterplot2', getdata(), layout) + Plotly.newPlot('scatterplot2', getdata(), layout, modebar_options) Plotly.relayout('scatterplot2', pearson_title_update) - Plotly.newPlot('srscatterplot2', srgetdata(), layout) + Plotly.newPlot('srscatterplot2', srgetdata(), sr_layout, modebar_options) Plotly.relayout('srscatterplot2', spearman_title_update) - if ($('input[name=cofactor1_vals]').val()){ - d3.select('#scatterplot2 svg').selectAll('.point') - .style({ - 'stroke': colorer, - 'fill': colorer - }); - d3.select('#srscatterplot2 svg').selectAll('.point') - .style({ - 'stroke': ranked_colorer, - 'fill': ranked_colorer - }); + if ($('#cofactor1_type option:selected').val() == "color"){ + $('#cofactor_color_selector').css("display", "inline") + if ($('input[name=cofactor1_vals]').val()){ + d3.select('#scatterplot2 svg').selectAll('.point') + .style({ + 'stroke': colorer, + 'fill': colorer + }); + d3.select('#srscatterplot2 svg').selectAll('.point') + .style({ + 'stroke': ranked_colorer, + 'fill': ranked_colorer + }); + } + } else if ($('#cofactor2_type option:selected').val() == "color"){ + $('#cofactor_color_selector').css("display", "inline") + if ($('input[name=cofactor2_vals]').val()){ + d3.select('#scatterplot2 svg').selectAll('.point') + .style({ + 'stroke': colorer, + 'fill': colorer + }); + d3.select('#srscatterplot2 svg').selectAll('.point') + .style({ + 'stroke': ranked_colorer, + 'fill': ranked_colorer + }); + } + } else { + $('#cofactor_color_selector').css("display", "inline") + if ($('input[name=cofactor3_vals]').val()){ + d3.select('#scatterplot2 svg').selectAll('.point') + .style({ + 'stroke': colorer, + 'fill': colorer + }); + d3.select('#srscatterplot2 svg').selectAll('.point') + .style({ + 'stroke': ranked_colorer, + 'fill': ranked_colorer + }); + } } } @@ -359,12 +769,79 @@ $(".chartupdatedata").change(function () { chartupdatedata(); }); -$(".cofactor1_type").change(function () { - console.log("cofactor1 type:", $(".cofactor1_type").val()) - if ($(".cofactor1_type").val() == "color"){ - $(".cofactor2_type").val("size") - } else { - $(".cofactor2_type").val("color") +$("#cofactor1_type").change(function () { + + the_types = ["color", "size", "symbol"] + + cofactor1_type = $(this).val() + cofactor2_type = $("#cofactor2_type option:selected").val() + cofactor3_type = $("#cofactor3_type option:selected").val() + + if (cofactor2_type == cofactor1_type){ + for (i=0; i<3; i++){ + if (the_types[i] != cofactor1_type && the_types[i] != cofactor3_type) { + $("#cofactor2_type").val(the_types[i]); + } + } + } + else if (cofactor3_type == cofactor1_type){ + for (i=0; i<3; i++){ + if (the_types[i] != cofactor1_type && the_types[i] != cofactor2_type) { + $("#cofactor3_type").val(the_types[i]); + } + } + } + + chartupdatedata(); +}); + +$("#cofactor2_type").change(function () { + + the_types = ["color", "size", "symbol"] + + cofactor2_type = $(this).val() + cofactor1_type = $("#cofactor1_type option:selected").val() + cofactor3_type = $("#cofactor3_type option:selected").val() + + if (cofactor1_type == cofactor2_type){ + for (i=0; i<3; i++){ + if (the_types[i] != cofactor2_type && the_types[i] != cofactor3_type){ + $("#cofactor1_type").val(the_types[i]); + } + } + } + else if (cofactor3_type == cofactor2_type){ + for (i=0; i<3; i++){ + if (the_types[i] != cofactor2_type && the_types[i] != cofactor1_type){ + $("#cofactor3_type").val(the_types[i]); + } + } + } + + chartupdatedata(); +}); + +$("#cofactor3_type").change(function () { + + the_types = ["color", "size", "symbol"] + + cofactor3_type = $(this).val() + cofactor1_type = $("#cofactor1_type option:selected").val() + cofactor2_type = $("#cofactor2_type option:selected").val() + + if (cofactor1_type == cofactor3_type){ + for (i=0; i<3; i++){ + if (the_types[i] != cofactor2_type && the_types[i] != cofactor3_type){ + $("#cofactor1_type").val(the_types[i]); + } + } + } + else if (cofactor2_type == cofactor3_type){ + for (i=0; i<3; i++){ + if (the_types[i] != cofactor2_type && the_types[i] != cofactor1_type){ + $("#cofactor3_type").val(the_types[i]); + } + } } }); @@ -383,6 +860,27 @@ open_covariate_selection = function() { })(this)); }; +remove_cofactors = function() { + $('input[name=cofactor1_vals]').val(""); + $('input[name=ranked_cofactor1_vals]').val(""); + $('input[name=cofactor2_vals]').val(""); + $('input[name=ranked_cofactor2_vals]').val(""); + $('input[name=cofactor3_vals]').val(""); + $('input[name=ranked_cofactor3_vals]').val(""); + + $('#select_cofactor1').text("Select Cofactor 1"); + $('#cofactor2_button').css("display", "none"); + $('#cofactor3_button').css("display", "none"); + + $('#cofactor_color_select').css("display", "none"); + + $('#cofactor1_info_container').css("display", "none"); + $('#cofactor2_info_container').css("display", "none"); + $('#cofactor3_info_container').css("display", "none"); + + chartupdatedata(); +}; + $(document).ready(function(){ chartupdatedata(); @@ -395,4 +893,14 @@ $(document).ready(function(){ $('input[name=selecting_which_cofactor]').val("2"); open_covariate_selection(); }); + + $('#select_cofactor3').click(function () { + $('input[name=selecting_which_cofactor]').val("3"); + open_covariate_selection(); + }); + + $('#remove_cofactors').click(function () { + remove_cofactors(); + }); + }); diff --git a/wqflask/wqflask/static/new/javascript/draw_probability_plot.coffee b/wqflask/wqflask/static/new/javascript/draw_probability_plot.coffee deleted file mode 100644 index 09ab3bc4..00000000 --- a/wqflask/wqflask/static/new/javascript/draw_probability_plot.coffee +++ /dev/null @@ -1,94 +0,0 @@ -root = exports ? this
-
-# calculations here use the same formulae as scipy.stats.probplot
-get_z_scores = (n) ->
- # order statistic medians (Filliben's approximation)
- osm_uniform = new Array(n)
- osm_uniform[n - 1] = Math.pow(0.5, 1.0 / n)
- osm_uniform[0] = 1 - osm_uniform[n - 1]
- for i in [1 .. (n - 2)]
- osm_uniform[i] = (i + 1 - 0.3175) / (n + 0.365)
-
- return (jStat.normal.inv(x, 0, 1) for x in osm_uniform)
-
-# samples is {'samples_primary': {'name1': value1, ...},
-# 'samples_other': {'nameN': valueN, ...},
-# 'samples_all': {'name1': value1, ...}}
-redraw_prob_plot = (samples, sample_group) ->
- h = 600
- w = 600
- margin = {left:60, top:40, right:40, bottom: 40, inner:5}
- totalh = h + margin.top + margin.bottom
- totalw = w + margin.left + margin.right
-
- container = $("#prob_plot_container")
- container.width(totalw)
- container.height(totalh)
-
- nv.addGraph(() =>
- chart = nv.models.scatterChart()
- .width(w)
- .height(h)
- .showLegend(true)
- .color(d3.scale.category10().range())
-
- # size settings are quite counter-intuitive in NVD3!
- chart.pointRange([50,50]) # (50 is the area, not radius)
-
- chart.legend.updateState(false)
-
- chart.xAxis
- .axisLabel("Theoretical quantiles")
- .tickFormat(d3.format('.02f'))
-
- chart.yAxis
- .axisLabel("Sample quantiles")
- .tickFormat(d3.format('.02f'))
-
- chart.tooltipContent((obj) =>
- return '<b style="font-size: 20px">' + obj.point.name + '</b>'
- )
-
- all_samples = samples[sample_group]
- names = (x for x in _.keys(all_samples) when all_samples[x] != null)
- sorted_names = names.sort((x, y) => all_samples[x].value - all_samples[y].value)
- sorted_values = (all_samples[x].value for x in sorted_names)
- sw_result = ShapiroWilkW(sorted_values)
- W = sw_result.w.toFixed(3)
- pvalue = sw_result.p.toFixed(3)
- pvalue_str = if pvalue > 0.05 then\
- pvalue.toString()\
- else\
- "<span style='color:red'>"+pvalue+"</span>"
- test_str = "Shapiro-Wilk test statistic is #{W} (p = #{pvalue_str})"
-
- z_scores = get_z_scores(sorted_values.length)
- slope = jStat.stdev(sorted_values)
- intercept = jStat.mean(sorted_values)
-
- make_data = (group_name) ->
- return {
- key: js_data.sample_group_types[group_name],
- slope: slope,
- intercept: intercept,
- values: ({x: z_score, y: value, name: sample}\
- for [z_score, value, sample] in\
- _.zip(get_z_scores(sorted_values.length),
- sorted_values,
- sorted_names)\
- when sample of samples[group_name])
- }
-
- data = [make_data('samples_primary'), make_data('samples_other')]
- console.log("THE DATA IS:", data)
- d3.select("#prob_plot_container svg")
- .datum(data)
- .call(chart)
-
- $("#prob_plot_title").html("<h3>Normal probability plot</h3>"+test_str)
- $("#prob_plot_container .nv-legendWrap").toggle(sample_group == "samples_all")
-
- return chart
- )
-
-root.redraw_prob_plot_impl = redraw_prob_plot
diff --git a/wqflask/wqflask/static/new/javascript/get_covariates_from_collection.js b/wqflask/wqflask/static/new/javascript/get_covariates_from_collection.js index f2e694d8..8cd6dac3 100644 --- a/wqflask/wqflask/static/new/javascript/get_covariates_from_collection.js +++ b/wqflask/wqflask/static/new/javascript/get_covariates_from_collection.js @@ -2,12 +2,65 @@ var add_trait_data, assemble_into_json, back_to_collections, collection_click, collection_list, color_by_trait, create_trait_data_csv, get_this_trait_vals, get_trait_data, process_traits, selected_traits, submit_click, this_trait_data, trait_click, __indexOf = [].indexOf || function(item) { for (var i = 0, l = this.length; i < l; i++) { if (i in this && this[i] === item) return i; } return -1; }; -collection_list = null; - this_trait_data = null; selected_traits = {}; +$('#collections_list').attr("style", "width: 100%;"); +$('#trait_table').dataTable( { + "drawCallback": function( settings ) { + $('#trait_table tr').click(function(event) { + if (event.target.type !== 'checkbox') { + $(':checkbox', this).trigger('click'); + } + }); + }, + "columns": [ + { "type": "natural", "width": "3%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "20%" }, + { "type": "natural", "width": "25%" }, + { "type": "natural", "width": "25%" }, + { "type": "natural", "width": "15%" } + ], + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], + "order": [[1, "asc" ]], + "sDom": "RZtr", + "iDisplayLength": -1, + "autoWidth": true, + "bDeferRender": true, + "bSortClasses": false, + "paging": false, + "orderClasses": true +} ); + +$('#collection_table').dataTable( { + "createdRow": function ( row, data, index ) { + if ($('td', row).eq(2).text().length > 40) { + $('td', row).eq(2).text($('td', row).eq(2).text().substring(0, 40)); + $('td', row).eq(2).text($('td', row).eq(2).text() + '...') + } + if ($('td', row).eq(4).text().length > 50) { + $('td', row).eq(4).text($('td', row).eq(4).text().substring(0, 50)); + $('td', row).eq(4).text($('td', row).eq(4).text() + '...') + } + }, + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], + "order": [[1, "asc" ]], + "sDom": "ZRtr", + "iDisplayLength": -1, + "autoWidth": true, + "bSortClasses": false, + "paging": false, + "orderClasses": true +} ); + collection_click = function() { var this_collection_url; console.log("Clicking on:", $(this)); @@ -28,16 +81,25 @@ submit_click = function() { $('#collections_holder').find('input[type=checkbox]:checked').each(function() { var this_dataset, this_trait; this_trait = $(this).parents('tr').find('.trait').text(); - console.log("this_trait is:", this_trait); - this_dataset = $(this).parents('tr').find('.dataset').text(); + this_trait_display = $(this).parents('tr').find('.trait').data("display_name"); + this_description = $(this).parents('tr').find('.description').text(); + console.log("this_trait is:", this_trait_display); + this_dataset = $(this).parents('tr').find('.dataset').data("dataset"); console.log("this_dataset is:", this_dataset); covariates_string += this_trait + ":" + this_dataset + "," - covariates_display_string += this_trait + "\n" + //this_covariate_display_string = this_trait + ": " + this_description + this_covariate_display_string = this_trait_display + if (this_covariate_display_string.length > 50) { + this_covariate_display_string = this_covariate_display_string.substring(0, 45) + "..." + } + covariates_display_string += this_covariate_display_string + "\n" }); + // Trim the last newline from display_string + covariates_display_string = covariates_display_string.replace(/\n$/, "") + // Trim the last comma covariates_string = covariates_string.substring(0, covariates_string.length - 1) //covariates_display_string = covariates_display_string.substring(0, covariates_display_string.length - 2) - console.log("COVARIATES:", covariates_string) $("input[name=covariates]").val(covariates_string) $(".selected_covariates").val(covariates_display_string) @@ -125,17 +187,22 @@ process_traits = function(trait_data, textStatus, jqXHR) { the_html = "<button id='back_to_collections' class='btn btn-inverse btn-small'>"; the_html += "<i class='icon-white icon-arrow-left'></i> Back </button>"; the_html += " <button id='submit' class='btn btn-primary btn-small'> Submit </button>"; - the_html += "<table class='table table-hover'>"; - the_html += "<thead><tr><th></th><th>Record</th><th>Data Set</th><th>Description</th><th>Mean</th></tr></thead>"; + the_html += "<table id='collection_table' style='padding-top: 10px;' class='table table-hover'>"; + the_html += "<thead><tr><th></th><th>Record</th><th>Data Set</th><th>Description</th></tr></thead>"; the_html += "<tbody>"; for (_i = 0, _len = trait_data.length; _i < _len; _i++) { trait = trait_data[_i]; the_html += "<tr class='trait_line'>"; the_html += "<td class='select_trait'><input type='checkbox' name='selectCheck' class='checkbox edit_sample_checkbox'></td>"; - the_html += "<td class='trait'>" + trait.name + "</td>"; - the_html += "<td class='dataset'>" + trait.dataset + "</td>"; - the_html += "<td>" + trait.description + "</td>"; - the_html += "<td>" + (trait.mean || ' ') + "</td></tr>"; + if ("abbreviation" in trait) { + the_html += "<td class='trait' data-display_name='" + trait.name + " - " + trait.abbreviation + "'>" + trait.name + "</td>"; + } else if ("symbol" in trait) { + the_html += "<td class='trait' data-display_name='" + trait.name + " - " + trait.symbol + "'>" + trait.name + "</td>"; + } else { + the_html += "<td class='trait' data-display_name='" + trait.name + "'>" + trait.name + "</td>"; + } + the_html += "<td class='dataset' data-dataset='" + trait.dataset + "'>" + trait.dataset_name + "</td>"; + the_html += "<td class='description'>" + trait.description + "</td>"; } the_html += "</tbody>"; the_html += "</table>"; diff --git a/wqflask/wqflask/static/new/javascript/get_traits_from_collection.coffee b/wqflask/wqflask/static/new/javascript/get_traits_from_collection.coffee deleted file mode 100644 index 07be824f..00000000 --- a/wqflask/wqflask/static/new/javascript/get_traits_from_collection.coffee +++ /dev/null @@ -1,228 +0,0 @@ -console.log("before get_traits_from_collection") - -# Going to be used to hold collection list -# So we can repopulate it when the back button is clicked -collection_list = null -this_trait_data = null - -selected_traits = {} - -collection_click = () -> - console.log("Clicking on:", $(this)) - this_collection_url = $(this).find('.collection_name').prop("href") - this_collection_url += "&json" - console.log("this_collection_url", this_collection_url) - collection_list = $("#collections_holder").html() - $.ajax( - dataType: "json", - url: this_collection_url, - success: process_traits - ) - -submit_click = () -> - - selected_traits = {} - - traits = [] - $('#collections_holder').find('input[type=checkbox]:checked').each -> - this_trait = $(@).parents('tr').find('.trait').text() - console.log("this_trait is:", this_trait) - this_dataset = $(@).parents('tr').find('.dataset').text() - console.log("this_dataset is:", this_dataset) - this_trait_url = "/trait/get_sample_data?trait="+this_trait+"&dataset="+this_dataset - $.ajax( - dataType: "json", - url: this_trait_url, - async: false, - success: add_trait_data - ) - - console.log("SELECTED_TRAITS IS:", selected_traits) - - trait_names = [] - samples = $('input[name=allsamples]').val().split(" ") - all_vals = [] - - this_trait_vals = get_this_trait_vals(samples) - all_vals.push(this_trait_vals) - - for trait in Object.keys(selected_traits) - trait_names.push(trait) - - this_trait_vals = [] - for sample in samples - if sample in Object.keys(selected_traits[trait]) - this_trait_vals.push(parseFloat(selected_traits[trait][sample])) - else - this_trait_vals.push(null) - all_vals.push(this_trait_vals) - - trait_vals_csv = create_trait_data_csv(selected_traits) - scatter_matrix = new ScatterMatrix(trait_vals_csv) - scatter_matrix.render() - - - #create_scatterplots(trait_names, samples, all_vals) - - $.colorbox.close() - -create_trait_data_csv = (selected_traits) -> - trait_names = [] - trait_names.push($('input[name=trait_id]').val()) - samples = $('input[name=allsamples]').val().split(" ") - all_vals = [] - this_trait_vals = get_this_trait_vals(samples) - all_vals.push(this_trait_vals) - - for trait in Object.keys(selected_traits) - trait_names.push(trait) - - this_trait_vals = [] - for sample in samples - if sample in Object.keys(selected_traits[trait]) - this_trait_vals.push(parseFloat(selected_traits[trait][sample])) - else - this_trait_vals.push(null) - all_vals.push(this_trait_vals) - - console.log("all_vals:", all_vals) - - trait_vals_csv = trait_names.join(",") - trait_vals_csv += "\n" - - for sample, index in samples - if all_vals[0][index] == null - continue - sample_vals = [] - for trait in all_vals - sample_vals.push(trait[index]) - trait_vals_csv += sample_vals.join(",") - trait_vals_csv += "\n" - - #console.log("trait_vals_csv:", trait_vals_csv) - - return trait_vals_csv - -trait_click = () -> - console.log("Clicking on:", $(this)) - trait = $(this).parent().find('.trait').text() - dataset = $(this).parent().find('.dataset').text() - this_trait_url = "/trait/get_sample_data?trait="+trait+"&dataset="+dataset - console.log("this_trait_url", this_trait_url) - $.ajax( - dataType: "json", - url: this_trait_url, - success: get_trait_data - ) - $.colorbox.close() - -add_trait_data = (trait_data, textStatus, jqXHR) -> - trait_name = trait_data[0] - trait_sample_data = trait_data[1] - selected_traits[trait_name] = trait_sample_data - console.log("selected_traits:", selected_traits) - -get_trait_data = (trait_data, textStatus, jqXHR) -> - #trait_list = $('input[name=compare_traits]') - #console.log("trait_list:", trait_list.val()) - console.log("trait:", trait_data[0]) - trait_sample_data = trait_data[1] - console.log("trait_sample_data:", trait_sample_data) - samples = $('input[name=allsamples]').val().split(" ") - vals = [] - - for sample in samples - if sample in Object.keys(trait_sample_data) - vals.push(parseFloat(trait_sample_data[sample])) - else - vals.push(null) - - #console.log("sorted_samples:", samples) - #console.log("sorted_vals:", vals) - - if $('input[name=samples]').length < 1 - $('#hidden_inputs').append('<input type="hidden" name="samples" value="[' + samples.toString() + ']" />') - $('#hidden_inputs').append('<input type="hidden" name="vals" value="[' + vals.toString() + ']" />') - - this_trait_vals = get_this_trait_vals(samples) - - #json_data = assemble_into_json(this_trait_vals_json) - - #console.log("json_data[1]:", json_data[1]) - - console.log("THE LENGTH IS:", $('input[name=vals]').length) - #if $('input[name=vals]').length == 1 - # create_scatterplot(samples, [this_trait_vals, vals]) - - color_by_trait(trait_sample_data) - -get_this_trait_vals = (samples) -> - this_trait_vals = [] - for sample in samples - this_val = parseFloat($("input[name='value:"+sample+"']").val()) - if !isNaN(this_val) - this_trait_vals.push(this_val) - else - this_trait_vals.push(null) - console.log("this_trait_vals:", this_trait_vals) - - this_vals_json = '[' + this_trait_vals.toString() + ']' - - return this_trait_vals - -assemble_into_json = (this_trait_vals) -> - num_traits = $('input[name=vals]').length - samples = $('input[name=samples]').val() - json_ids = samples - - json_data = '[' + this_trait_vals - - $('input[name=vals]').each (index, element) => - json_data += ',' + $(element).val() - json_data += ']' - - return [json_ids, json_data] - -color_by_trait = (trait_sample_data, textStatus, jqXHR) -> - #trait_sample_data = trait_sample_data - console.log('in color_by_trait:', trait_sample_data) - root.bar_chart.color_by_trait(trait_sample_data) - -process_traits = (trait_data, textStatus, jqXHR) -> - console.log('in process_traits with trait_data:', trait_data) - - the_html = "<button id='back_to_collections' class='btn btn-inverse btn-small'>" - the_html += "<i class='icon-white icon-arrow-left'></i> Back </button>" - the_html += " <button id='submit' class='btn btn-primary btn-small'> Submit </button>" - - the_html += "<table class='table table-hover'>" - the_html += "<thead><tr><th></th><th>Record</th><th>Data Set</th><th>Description</th><th>Mean</th></tr></thead>" - the_html += "<tbody>" - for trait in trait_data - the_html += "<tr class='trait_line'>" - the_html += "<td class='select_trait'><input type='checkbox' name='selectCheck' class='checkbox edit_sample_checkbox'></td>" - the_html += "<td class='trait'>#{ trait.name }</td>" - the_html += "<td class='dataset'>#{ trait.dataset }</td>" - the_html += "<td>#{ trait.description }</td>" - the_html += "<td>#{ trait.mean or ' ' }</td></tr>" - the_html += "</tbody>" - the_html += "</table>" - - $("#collections_holder").html(the_html) - $('#collections_holder').colorbox.resize() - -back_to_collections = () -> - console.log("collection_list:", collection_list) - $("#collections_holder").html(collection_list) - - $(document).on("click", ".collection_line", collection_click) - $('#collections_holder').colorbox.resize() - -$ -> - console.log("inside get_traits_from_collection") - - $(document).on("click", ".collection_line", collection_click) - $(document).on("click", "#submit", submit_click) - $(document).on("click", ".trait", trait_click) - $(document).on("click", "#back_to_collections", back_to_collections) - diff --git a/wqflask/wqflask/static/new/javascript/get_traits_from_collection.js b/wqflask/wqflask/static/new/javascript/get_traits_from_collection.js index 8a79627a..6f03b98f 100644 --- a/wqflask/wqflask/static/new/javascript/get_traits_from_collection.js +++ b/wqflask/wqflask/static/new/javascript/get_traits_from_collection.js @@ -10,9 +10,64 @@ this_trait_data = null; selected_traits = {}; +$('#collections_list').attr("style", "width: 100%;"); +$('#trait_table').dataTable( { + "drawCallback": function( settings ) { + $('#trait_table tr').click(function(event) { + if (event.target.type !== 'checkbox') { + $(':checkbox', this).trigger('click'); + } + }); + }, + "columns": [ + { "type": "natural", "width": "3%" }, + { "type": "natural", "width": "8%" }, + { "type": "natural", "width": "20%" }, + { "type": "natural", "width": "25%" }, + { "type": "natural", "width": "25%" }, + { "type": "natural", "width": "15%" } + ], + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], + "order": [[1, "asc" ]], + "sDom": "RZtr", + "iDisplayLength": -1, + "autoWidth": true, + "bDeferRender": true, + "bSortClasses": false, + "paging": false, + "orderClasses": true +} ); + +$('#collection_table').dataTable( { + "createdRow": function ( row, data, index ) { + if ($('td', row).eq(2).text().length > 40) { + $('td', row).eq(2).text($('td', row).eq(2).text().substring(0, 40)); + $('td', row).eq(2).text($('td', row).eq(2).text() + '...') + } + if ($('td', row).eq(4).text().length > 50) { + $('td', row).eq(4).text($('td', row).eq(4).text().substring(0, 50)); + $('td', row).eq(4).text($('td', row).eq(4).text() + '...') + } + }, + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], + "order": [[1, "asc" ]], + "sDom": "ZRtr", + "iDisplayLength": -1, + "autoWidth": true, + "bSortClasses": false, + "paging": false, + "orderClasses": true +} ); + collection_click = function() { var this_collection_url; - console.log("Clicking on:", $(this)); + //console.log("Clicking on:", $(this)); this_collection_url = $(this).find('.collection_name').prop("href"); this_collection_url += "&json"; collection_list = $("#collections_holder").html(); @@ -123,6 +178,20 @@ trait_click = function() { return $.colorbox.close(); }; +trait_row_click = function() { + var dataset, this_trait_url, trait; + console.log("Clicking on:", $(this)); + trait = $(this).find('.trait').text(); + dataset = $(this).find('.dataset').data("dataset"); + this_trait_url = "/trait/get_sample_data?trait=" + trait + "&dataset=" + dataset; + $.ajax({ + dataType: "json", + url: this_trait_url, + success: get_trait_data + }); + return $.colorbox.close(); +}; + add_trait_data = function(trait_data, textStatus, jqXHR) { var trait_name, trait_sample_data; trait_name = trait_data[0]; @@ -139,28 +208,53 @@ populate_cofactor_info = function(trait_info) { $('#cofactor1_description').text("[" + trait_info['symbol'] + " on " + trait_info['location'] + " Mb]\n" + trait_info['description']) } else { $('#cofactor1_trait_link').text(trait_info['species'] + " " + trait_info['group'] + " " + trait_info['db'] + ": " + trait_info['name']) - $('#cofactor1_description').html('<a href=\"' + trait_info['pubmed_link'] + '\">PubMed: ' + trait_info['pubmed_text'] + '</a><br>' + trait_info['description']) + if ('pubmed_link' in trait_info) { + $('#cofactor1_description').html('<a href=\"' + trait_info['pubmed_link'] + '\">PubMed: ' + trait_info['pubmed_text'] + '</a><br>' + trait_info['description']) + } else { + $('#cofactor1_description').html('PubMed: ' + trait_info['pubmed_text'] + '<br>' + trait_info['description']) + } } $('#select_cofactor1').text("Change Cofactor 1"); $('#cofactor1_info_container').css("display", "inline"); - $('#cofactor2_button').css("display", "inline"); - } else { + $('#cofactor2_button').css("display", "inline-block"); + } else if ($('input[name=selecting_which_cofactor]').val() == "2"){ $('#cofactor2_trait_link').attr("href", trait_info['url']) if (trait_info['type'] == "ProbeSet"){ $('#cofactor2_trait_link').text(trait_info['species'] + " " + trait_info['group'] + " " + trait_info['tissue'] + " " + trait_info['db'] + ": " + trait_info['name']) $('#cofactor2_description').text("[" + trait_info['symbol'] + " on " + trait_info['location'] + " Mb]\n" + trait_info['description']) } else { $('#cofactor2_trait_link').text(trait_info['species'] + " " + trait_info['group'] + " " + trait_info['db'] + ": " + trait_info['name']) - $('#cofactor2_description').html('<a href=\"' + trait_info['pubmed_link'] + '\">PubMed: ' + trait_info['pubmed_text'] + '</a><br>' + trait_info['description']) + if ('pubmed_link' in trait_info) { + $('#cofactor2_description').html('<a href=\"' + trait_info['pubmed_link'] + '\">PubMed: ' + trait_info['pubmed_text'] + '</a><br>' + trait_info['description']) + } else { + $('#cofactor2_description').html('PubMed: ' + trait_info['pubmed_text'] + '<br>' + trait_info['description']) + } } $('#select_cofactor2').text("Change Cofactor 2"); $('#cofactor2_info_container').css("display", "inline"); + $('#cofactor3_button').css("display", "inline-block"); + } else { + $('#cofactor3_trait_link').attr("href", trait_info['url']) + if (trait_info['type'] == "ProbeSet"){ + $('#cofactor3_trait_link').text(trait_info['species'] + " " + trait_info['group'] + " " + trait_info['tissue'] + " " + trait_info['db'] + ": " + trait_info['name']) + $('#cofactor3_description').text("[" + trait_info['symbol'] + " on " + trait_info['location'] + " Mb]\n" + trait_info['description']) + } else { + $('#cofactor3_trait_link').text(trait_info['species'] + " " + trait_info['group'] + " " + trait_info['db'] + ": " + trait_info['name']) + if ('pubmed_link' in trait_info) { + $('#cofactor3_description').html('<a href=\"' + trait_info['pubmed_link'] + '\">PubMed: ' + trait_info['pubmed_text'] + '</a><br>' + trait_info['description']) + } else { + $('#cofactor3_description').html('PubMed: ' + trait_info['pubmed_text'] + '<br>' + trait_info['description']) + } + } + $('#select_cofactor3').text("Change Cofactor 3"); + $('#cofactor3_info_container').css("display", "inline"); } } get_trait_data = function(trait_data, textStatus, jqXHR) { var sample, samples, this_trait_vals, trait_sample_data, vals, _i, _len; trait_sample_data = trait_data[1]; + console.log("IN GET TRAIT DATA") if ( $('input[name=allsamples]').length ) { samples = $('input[name=allsamples]').val().split(" "); } else { @@ -186,7 +280,6 @@ get_trait_data = function(trait_data, textStatus, jqXHR) { this_trait_vals = get_this_trait_vals(samples); return color_by_trait(trait_sample_data); } else{ - populate_cofactor_info(trait_data[0]) sorted = vals.slice().sort(function(a,b){return a-b}) ranks = vals.slice().map(function(v){ return sorted.indexOf(v)+1 }); sample_ranks = [] @@ -199,14 +292,38 @@ get_trait_data = function(trait_data, textStatus, jqXHR) { } if ($('input[name=selecting_which_cofactor]').val() == "1"){ + if ($('#cofactor1_type option:selected').val() == "symbol") { + unique_vals = [...new Set(vals)] + if (unique_vals.length > 45) { + alert("If displaying cofactor as symbol, please choose a trait with 45 or fewer distinct sample values."); + return false; + } + } $('input[name=cofactor1_vals]').val(sample_vals) $('input[name=ranked_cofactor1_vals]').val(sample_ranks) - } else { + } else if ($('input[name=selecting_which_cofactor]').val() == "2"){ + if ($('#cofactor2_type option:selected').val() == "symbol") { + unique_vals = [...new Set(vals)] + if (unique_vals.length > 45) { + alert("If displaying cofactor as symbol, please choose a trait with 45 or fewer distinct sample values."); + return false; + } + } $('input[name=cofactor2_vals]').val(sample_vals) $('input[name=ranked_cofactor2_vals]').val(sample_ranks) + } else{ + if ($('#cofactor3_type option:selected').val() == "symbol") { + unique_vals = [...new Set(vals)] + if (unique_vals.length > 45) { + alert("If displaying cofactor as symbol, please choose a trait with 45 or fewer distinct sample values."); + return false; + } + } + $('input[name=cofactor3_vals]').val(sample_vals) + $('input[name=ranked_cofactor3_vals]').val(sample_ranks) } + populate_cofactor_info(trait_data[0]) chartupdatedata(); - chartupdate(); return false } }; @@ -223,7 +340,6 @@ get_this_trait_vals = function(samples) { this_trait_vals.push(null); } } - console.log("this_trait_vals:", this_trait_vals); this_vals_json = '[' + this_trait_vals.toString() + ']'; return this_trait_vals; }; @@ -254,23 +370,25 @@ process_traits = function(trait_data, textStatus, jqXHR) { the_html = "<button id='back_to_collections' class='btn btn-inverse btn-small'>"; the_html += "<i class='icon-white icon-arrow-left'></i> Back </button>"; the_html += " <button id='submit' class='btn btn-primary btn-small'> Submit </button>"; - the_html += "<table class='table table-hover'>"; - the_html += "<thead><tr><th></th><th>Record</th><th>Data Set</th><th>Description</th><th>Mean</th></tr></thead>"; + the_html += "<table id='collection_table' style='padding-top: 10px;' class='table table-hover'>"; + the_html += "<thead><tr><th></th><th>Record</th><th>Data Set</th><th>Description</th></tr></thead>"; the_html += "<tbody>"; for (_i = 0, _len = trait_data.length; _i < _len; _i++) { trait = trait_data[_i]; the_html += "<tr class='trait_line'>"; the_html += "<td class='select_trait'><input type='checkbox' name='selectCheck' class='checkbox edit_sample_checkbox'></td>"; - the_html += "<td class='trait'>" + trait.name + "</td>"; - the_html += "<td class='dataset'>" + trait.dataset + "</td>"; - the_html += "<td>" + trait.description + "</td>"; - the_html += "<td>" + (trait.mean || ' ') + "</td></tr>"; + if ("abbreviation" in trait) { + the_html += "<td class='trait' data-display_name='" + trait.name + " - " + trait.abbreviation + "'>" + trait.name + "</td>"; + } else if ("symbol" in trait) { + the_html += "<td class='trait' data-display_name='" + trait.name + " - " + trait.symbol + "'>" + trait.name + "</td>"; + } else { + the_html += "<td class='trait' data-display_name='" + trait.name + "'>" + trait.name + "</td>"; + } + the_html += "<td class='dataset' data-dataset='" + trait.dataset + "'>" + trait.dataset_name + "</td>"; + the_html += "<td class='description'>" + trait.description + "</td>"; } the_html += "</tbody>"; the_html += "</table>"; - the_html += "<div id=\"collection_list_html\" style=\"display: none;\">" - the_html += collection_list - the_html += "</div>" the_html += "<script type='text/javascript' src='/static/new/javascript/get_traits_from_collection.js'></script>" $("#collections_holder").html(the_html); return $('#collections_holder').colorbox.resize(); @@ -286,5 +404,9 @@ back_to_collections = function() { console.log("inside get_traits_from_collection"); $(".collection_line").on("click", collection_click); $("#submit").on("click", submit_click); -$(".trait").on("click", trait_click); +if ($('#scatterplot2').length){ + $(".trait_line").on("click", trait_row_click); +} else { + $(".trait").on("click", trait_click); +} $("#back_to_collections").on("click", back_to_collections);
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/histogram.coffee b/wqflask/wqflask/static/new/javascript/histogram.coffee deleted file mode 100644 index 68d9b5a2..00000000 --- a/wqflask/wqflask/static/new/javascript/histogram.coffee +++ /dev/null @@ -1,141 +0,0 @@ -root = exports ? this
-
-class Histogram
- constructor: (@sample_list, @sample_group) ->
- @sort_by = "name"
- @format_count = d3.format(",.0f") #a formatter for counts
-
- @margin = {top: 10, right: 30, bottom: 30, left: 30}
- @plot_width = 960 - @margin.left - @margin.right
- @plot_height = 500 - @margin.top - @margin.bottom
-
- @x_buffer = @plot_width/20
- @y_buffer = @plot_height/20
- @plot_height -= @y_buffer
-
- @get_sample_vals(@sample_list)
- @redraw(@sample_vals)
-
- redraw: (@sample_vals) ->
- @y_min = d3.min(@sample_vals)
- @y_max = d3.max(@sample_vals) * 1.1
-
- @create_x_scale()
- @get_histogram_data()
- @create_y_scale()
-
- $("#histogram").empty()
- @svg = @create_svg()
- @create_graph()
-
- get_sample_vals: (sample_list) ->
- @sample_vals = (sample.value for sample in sample_list when sample.value != null)
-
- create_svg: () ->
- svg = d3.select("#histogram")
- .append("svg")
- .attr("class", "histogram")
- .attr("width", @plot_width + @margin.left + @margin.right)
- .attr("height", @plot_height + @margin.top + @margin.bottom)
- .append("g")
- .attr("transform", "translate(" + @margin.left + "," + @margin.top + ")")
-
- return svg
-
- create_x_scale: () ->
- console.log("min/max:", d3.min(@sample_vals) + "," + d3.max(@sample_vals))
- x0 = Math.max(-d3.min(@sample_vals), d3.max(@sample_vals))
- #if (d3.min(@sample_vals) < 0)
- # min_domain = d3.min(@sample_vals)
- #else
- # min_domain = 0
- @x_scale = d3.scale.linear()
- .domain([d3.min(@sample_vals), d3.max(@sample_vals)])
- .range([0, @plot_width])
- .nice()
-
- get_histogram_data: () ->
- console.log("sample_vals:", @sample_vals)
- n_bins = Math.sqrt(@sample_vals.length)
- @histogram_data = d3.layout.histogram()
- .bins(@x_scale.ticks(n_bins))(@sample_vals)
- console.log("histogram_data:", @histogram_data[0])
-
- create_y_scale: () ->
- @y_scale = d3.scale.linear()
- .domain([0, d3.max(@histogram_data, (d) => return d.y )])
- .range([@plot_height, 0])
-
- create_graph: () ->
- @add_x_axis()
- @add_y_axis()
- @add_bars()
-
- add_x_axis: () ->
- x_axis = d3.svg.axis()
- .scale(@x_scale)
- .orient("bottom");
-
- @svg.append("g")
- .attr("class", "x axis")
- .attr("transform", "translate(0," + @plot_height + ")")
- .call(x_axis)
-
- #add_y_axis: () ->
- # y_axis = d3.svg.axis()
- # .scale(@y_scale)
- # .orient("left")
- # .ticks(5)
- #
- # @svg.append("g")
- # .attr("class", "y axis")
- # #.attr("transform", "translate(0," + @plot_width + ")")
- # .call(y_axis)
-
-
- add_y_axis: () ->
- yAxis = d3.svg.axis()
- .scale(@y_scale)
- .orient("left")
- .ticks(5)
-
- @svg.append("g")
- .attr("class", "y axis")
- .call(yAxis)
- .append("text")
- .attr("transform", "rotate(-90)")
- .attr("y", 6)
- .attr("dy", ".71em")
- .style("text-anchor", "end")
-
- add_bars: () ->
- console.log("bar_width:", @x_scale(@histogram_data[0].dx))
- bar = @svg.selectAll(".bar")
- .data(@histogram_data)
- .enter().append("g")
- .attr("class", "bar")
- .attr("transform", (d) =>
- return "translate(" + @x_scale(d.x) + "," + @y_scale(d.y) + ")")
-
- rect_width = @x_scale(@histogram_data[0].x + @histogram_data[0].dx) -
- @x_scale(@histogram_data[0].x)
-
- bar.append("rect")
- .attr("x", 1)
- .attr("width", rect_width - 1)
- .attr("height", (d) =>
- return @plot_height - @y_scale(d.y)
- )
- bar.append("text")
- .attr("dy", ".75em")
- .attr("y", 6)
- .attr("x", rect_width / 2)
- .attr("text-anchor", "middle")
- .style("fill", "#fff")
- .text((d) =>
- bar_height = @plot_height - @y_scale(d.y)
- if bar_height > 20
- return @format_count(d.y)
- )
-
-root.Histogram = Histogram
diff --git a/wqflask/wqflask/static/new/javascript/init_genome_browser.js b/wqflask/wqflask/static/new/javascript/init_genome_browser.js new file mode 100644 index 00000000..2552fb04 --- /dev/null +++ b/wqflask/wqflask/static/new/javascript/init_genome_browser.js @@ -0,0 +1,84 @@ +console.log("THE FILES:", js_data.browser_files) + +snps_filename = "/browser_input?filename=" + js_data.browser_files[0] +annot_filename = "/browser_input?filename=" + js_data.browser_files[1] + +localUrls = +{ + snps: snps_filename, + annotations: annot_filename +}; + +var coordinateSystem = js_data.chr_lengths + +var vscaleWidth = 90.0; +var legendWidth = 150.0; + +if ('significant' in js_data) { + var significant_score = parseFloat(js_data.significant) +} else { + var significant_score = js_data.max_score * 0.75 +} +var score = { min: 0.0, max: js_data.max_score, sig: significant_score }; +var gwasPadding = { top: 35.0, + bottom: 35.0, + left: vscaleWidth, + right: legendWidth }; +var gwasHeight = 500.0; +var config = +{ score: score, + urls: localUrls, + tracks: { + gwas: { + trackHeight: gwasHeight, + padding: gwasPadding, + snps: { + radius: 3.75, + lineWidth: 1.0, + color: { outline: "#FFFFFF", + fill: "#00008B" }, + pixelOffset: {x: 0.0, y: 0.0} + }, + annotations: { + urls: { + url: "GeneNetwork" + }, + radius: 5.5, + outline: "#000000", + snpColor: "#0074D9", + geneColor: "#FF4136" + }, + score: score, + legend: { + fontSize: 14, + hPad: 0.1, + vPad: 0.2 + }, + vscale: { + color: "#000000", + hPad: 0.125, + numSteps: 3, + fonts: { labelSize: 18, scaleSize: 16 } + }, + }, + }, + chrs: { + chrBG1: "#FFFFFF", + chrBG2: "#EEEEEE", + chrLabels: { fontSize: 16 }, + }, + // initialChrs: { left: "1", right: "5" } + coordinateSystem: coordinateSystem, +}; + +if (js_data.selected_chr != -1) { + config['initialChrs'] = {left: js_data.selected_chr, right: js_data.selected_chr} +} + +$('#browser_tab').click(function() { + if ($('#gwas').length == 0){ + GenomeBrowser.main(config)(); + } +}); + +document.getElementById("controls").style.visibility = "visible";
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/iplotMScanone_noeff.coffee b/wqflask/wqflask/static/new/javascript/iplotMScanone_noeff.coffee deleted file mode 100644 index 63ded023..00000000 --- a/wqflask/wqflask/static/new/javascript/iplotMScanone_noeff.coffee +++ /dev/null @@ -1,193 +0,0 @@ -# iplotMScanone_noeff: image of lod curves linked to plot of lod curves
-# Karl W Broman
-
-iplotMScanone_noeff = (lod_data, times, chartOpts) ->
-
- # chartOpts start
- wleft = chartOpts?.wleft ? 1000 # width of left panels in pixels
- wright = chartOpts?.wright ? 500 # width of right panel in pixels
- htop = chartOpts?.htop ? 350 # height of top panels in pixels
- hbot = chartOpts?.hbot ? 350 # height of bottom panel in pixels
- margin = chartOpts?.margin ? {left:100, top:40, right:40, bottom: 40, inner:5} # margins in pixels (left, top, right, bottom, inner)
- axispos = chartOpts?.axispos ? {xtitle:25, ytitle:30, xlabel:5, ylabel:5} # position of axis labels in pixels (xtitle, ytitle, xlabel, ylabel)
- titlepos = chartOpts?.titlepos ? 20 # position of chart title in pixels
- chrGap = chartOpts?.chrGap ? 8 # gap between chromosomes in pixels
- darkrect = chartOpts?.darkrect ? "#C8C8C8" # color of darker background rectangle
- lightrect = chartOpts?.lightrect ? "#E6E6E6" # color of lighter background rectangle
- nullcolor = chartOpts?.nullcolor ? "#E6E6E6" # color for pixels with null values
- colors = chartOpts?.colors ? ["slateblue", "white", "crimson"] # heat map colors
- zlim = chartOpts?.zlim ? null # z-axis limits
- zthresh = chartOpts?.zthresh ? null # lower z-axis threshold for display in heat map
- lod_ylab = chartOpts?.lod_ylab ? "" # y-axis label for LOD heatmap (also used as x-axis label on effect plot)
- linecolor = chartOpts?.linecolor ? "darkslateblue" # color of lines
- linewidth = chartOpts?.linewidth ? 2 # width of lines
- nxticks = chartOpts?.nxticks ? 5 # no. ticks in x-axis on right-hand panel, if quantitative scale
- xticks = chartOpts?.xticks ? null # tick positions in x-axis on right-hand panel, if quantitative scale
- lod_labels = chartOpts?.lod_labels ? null # optional vector of strings, for LOD column labels
- # chartOpts end
- chartdivid = chartOpts?.chartdivid ? 'chart'
-
- totalh = htop + hbot + 2*(margin.top + margin.bottom)
- totalw = wleft + wright + 2*(margin.left + margin.right)
-
- # if quant scale, use times as labels; otherwise use lod_data.lodnames
- unless lod_labels?
- lod_labels = if times? then (formatAxis(times, extra_digits=1)(x) for x in times) else lod_data.lodnames
-
- mylodheatmap = lodheatmap().height(htop)
- .width(wleft)
- .margin(margin)
- .axispos(axispos)
- #.titlepos(titlepos)
- #.chrGap(chrGap)
- #.rectcolor(lightrect)
- #.colors(colors)
- #.zlim(zlim)
- #.zthresh(zthresh)
- #.quantScale(times)
- #.lod_labels(lod_labels)
- #.ylab(lod_ylab)
- #.nullcolor(nullcolor)
-
- svg = d3.select("div##{chartdivid}")
- .append("svg")
- .attr("height", totalh)
- .attr("width", totalw)
-
- g_heatmap = svg.append("g")
- .attr("id", "heatmap")
- .datum(lod_data)
- .call(mylodheatmap)
-
- mylodchart = lodchart().height(hbot)
- .width(wleft)
- .margin(margin)
- .axispos(axispos)
- .titlepos(titlepos)
- .chrGap(chrGap)
- .linecolor("none")
- .pad4heatmap(true)
- .darkrect(darkrect)
- .lightrect(lightrect)
- .ylim([0, d3.max(mylodheatmap.zlim())])
- .pointsAtMarkers(false)
-
- g_lodchart = svg.append("g")
- .attr("transform", "translate(0,#{htop+margin.top+margin.bottom})")
- .attr("id", "lodchart")
- .datum(lod_data)
- .call(mylodchart)
-
- # function for lod curve path
- lodcurve = (chr, lodcolumn) ->
- d3.svg.line()
- .x((d) -> mylodchart.xscale()[chr](d))
- .y((d,i) -> mylodchart.yscale()(Math.abs(lod_data.lodByChr[chr][i][lodcolumn])))
-
- # plot lod curves for selected lod column
- lodchart_curves = null
- plotLodCurve = (lodcolumn) ->
- g_lodchart.selectAll("g#curves").remove()
- lodchart_curves = g_lodchart.append("g").attr("id", "lodcurves")
- for chr in lod_data.chrnames
- lodchart_curves.append("path")
- .datum(lod_data.posByChr[chr[0]])
- .attr("d", lodcurve(chr[0], lodcolumn))
- .attr("stroke", linecolor)
- .attr("fill", "none")
- .attr("stroke-width", linewidth)
- .style("pointer-events", "none")
-
- # rearrange data for curves of time x LOD
- lod4curves = {data:[]}
- for pos of lod_data.pos
- y = (Math.abs(lod_data[lodcolumn][pos]) for lodcolumn in lod_data.lodnames)
- x = (+i for i of lod_data.lodnames)
- lod4curves.data.push({x:x, y:y})
-
- #mycurvechart = curvechart().height(htop)
- # .width(wright)
- # .margin(margin)
- # .axispos(axispos)
- # .titlepos(titlepos)
- # .xlab(lod_ylab)
- # .ylab("LOD score")
- # .strokecolor("none")
- # .rectcolor(lightrect)
- # .xlim([-0.5, lod_data.lodnames.length-0.5])
- # .ylim([0, d3.max(mylodheatmap.zlim())])
- # .nxticks(0)
- # .commonX(false)
- #
- #g_curvechart = svg.append("g")
- # .attr("transform", "translate(#{wleft+margin.top+margin.bottom},0)")
- # .attr("id", "curvechart")
- # .datum(lod4curves)
- # .call(mycurvechart)
- #
- ## add X axis
- #if times? # use quantitative axis
- # xscale = d3.scale.linear().range(mycurvechart.xscale().range())
- # xscale.domain([times[0], times[times.length-1]])
- # xticks = xticks ? xscale.ticks(nxticks)
- # curvechart_xaxis = g_curvechart.select("g.x.axis")
- # curvechart_xaxis.selectAll("empty")
- # .data(xticks)
- # .enter()
- # .append("line")
- # .attr("x1", (d) -> xscale(d))
- # .attr("x2", (d) -> xscale(d))
- # .attr("y1", margin.top)
- # .attr("y2", margin.top+htop)
- # .attr("fill", "none")
- # .attr("stroke", "white")
- # .attr("stroke-width", 1)
- # .style("pointer-events", "none")
- # curvechart_xaxis.selectAll("empty")
- # .data(xticks)
- # .enter()
- # .append("text")
- # .attr("x", (d) -> xscale(d))
- # .attr("y", margin.top+htop+axispos.xlabel)
- # .text((d) -> formatAxis(xticks)(d))
- #else # qualitative axis
- # curvechart_xaxis = g_curvechart.select("g.x.axis")
- # .selectAll("empty")
- # .data(lod_labels)
- # .enter()
- # .append("text")
- # .attr("id", (d,i) -> "xaxis#{i}")
- # .attr("x", (d,i) -> mycurvechart.xscale()(i))
- # .attr("y", margin.top+htop+axispos.xlabel)
- # .text((d) -> d)
- # .attr("opacity", 0)
-
- # hash for [chr][pos] -> posindex
- #posindex = {}
- #curindex = 0
- #for chr in lod_data.chrnames
- # posindex[chr] = {}
- # for pos in lod_data.posByChr[chr]
- # posindex[chr][pos] = curindex
- # curindex += 1
-
- #mycurvechart.curvesSelect()
- # .on("mouseover.panel", null)
- # .on("mouseout.panel", null)
- #
- mylodheatmap.cellSelect()
- .on "mouseover", (d) ->
- plotLodCurve(d.lodindex)
- g_lodchart.select("g.title text").text("#{lod_labels[d.lodindex]}")
- #g_curvechart.selectAll("path.path#{posindex[d.chr][d.pos]}").attr("stroke", linecolor)
- p = d3.format(".1f")(d.pos)
- #g_curvechart.select("g.title text").text("#{d.chr}@#{p}")
- #g_curvechart.select("text#xaxis#{d.lodindex}").attr("opacity", 1) unless times?
- .on "mouseout", (d) ->
- lodchart_curves.remove()
- g_lodchart.select("g.title text").text("")
- #g_curvechart.selectAll("path.path#{posindex[d.chr][d.pos]}").attr("stroke", null)
- #g_curvechart.select("g.title text").text("")
- #g_curvechart.select("text#xaxis#{d.lodindex}").attr("opacity", 0) unless times?
-
-iplotMScanone_noeff(lod_data = js_data.json_data)
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/lod_chart.coffee b/wqflask/wqflask/static/new/javascript/lod_chart.coffee deleted file mode 100644 index 55ffdce0..00000000 --- a/wqflask/wqflask/static/new/javascript/lod_chart.coffee +++ /dev/null @@ -1,517 +0,0 @@ -lodchart = () -> - width = 800 - height = 500 - margin = {left:60, top:40, right:40, bottom: 40, inner:5} - axispos = {xtitle:25, ytitle:30, xlabel:5, ylabel:5} - titlepos = 20 - manhattanPlot = false - additive = false - ylim = null - additive_ylim = null - nyticks = 5 - yticks = null - additive_yticks = null - chrGap = 8 - darkrect = "#F1F1F9" - lightrect = "#FBFBFF" - lodlinecolor = "darkslateblue" - additivelinecolor = "red" - linewidth = 2 - suggestivecolor = "gainsboro" - significantcolor = "#EBC7C7" - pointcolor = "#E9CFEC" # pink - pointsize = 0 # default = no visible points at markers - pointstroke = "black" - title = "" - xlab = "Chromosome" - ylab = "LRS score" - additive_ylab = "Additive Effect" - rotate_ylab = null - yscale = d3.scale.linear() - additive_yscale = d3.scale.linear() - xscale = null - pad4heatmap = false - lodcurve = null - lodvarname = null - markerSelect = null - chrSelect = null - pointsAtMarkers = true - - - ## the main function - chart = (selection) -> - selection.each (data) -> - - #console.log("data:", data) - - if manhattanPlot == true - pointcolor = "darkslateblue" - pointsize = 2 - - lodvarname = lodvarname ? data.lodnames[0] - data[lodvarname] = (Math.abs(x) for x in data[lodvarname]) # take absolute values - ylim = ylim ? [0, d3.max(data[lodvarname])] - if additive - data['additive'] = (Math.abs(x) for x in data['additive']) - additive_ylim = additive_ylim ? [0, d3.max(data['additive'])] - - lodvarnum = data.lodnames.indexOf(lodvarname) - - # Select the svg element, if it exists. - svg = d3.select(this).selectAll("svg").data([data]) - - # Otherwise, create the skeletal chart. - gEnter = svg.enter().append("svg").append("g") - - # Update the outer dimensions. - svg.attr("width", width+margin.left+margin.right) - .attr("height", height+margin.top+margin.bottom) - - # Update the inner dimensions. - g = svg.select("g") - - # box - g.append("rect") - .attr("x", margin.left) - .attr("y", margin.top) - .attr("height", height) - .attr("width", width) - .attr("fill", darkrect) - .attr("stroke", "none") - - yscale.domain(ylim) - .range([height+margin.top, margin.top+margin.inner]) - - # if yticks not provided, use nyticks to choose pretty ones - yticks = yticks ? yscale.ticks(nyticks) - - #if data['additive'].length > 0 - if additive - additive_yscale.domain(additive_ylim) - .range([height+margin.top, margin.top+margin.inner + height/2]) - - additive_yticks = additive_yticks ? additive_yscale.ticks(nyticks) - - # reorganize lod,pos by chromosomes - reorgLodData(data, lodvarname) - - # add chromosome scales (for x-axis) - data = chrscales(data, width, chrGap, margin.left, pad4heatmap) - xscale = data.xscale - - # chr rectangles - chrSelect = - g.append("g").attr("class", "chrRect") - .selectAll("empty") - .data(data.chrnames) - .enter() - .append("rect") - .attr("id", (d) -> "chrrect#{d[0]}") - .attr("x", (d,i) -> - return data.chrStart[i] if i==0 and pad4heatmap - data.chrStart[i]-chrGap/2) - .attr("width", (d,i) -> - return data.chrEnd[i] - data.chrStart[i]+chrGap/2 if (i==0 or i+1 == data.chrnames.length) and pad4heatmap - data.chrEnd[i] - data.chrStart[i]+chrGap) - .attr("y", margin.top) - .attr("height", height) - .attr("fill", (d,i) -> - return darkrect if i % 2 - - lightrect) - .attr("stroke", "none") - .on("click", (d) -> - console.log("d is:", d) - redraw_plot(d) - ) - - # x-axis labels - xaxis = g.append("g").attr("class", "x axis") - xaxis.selectAll("empty") - .data(data.chrnames) - .enter() - .append("text") - .text((d) -> d[0]) - .attr("x", (d,i) -> (data.chrStart[i]+data.chrEnd[i])/2) - .attr("y", margin.top+height+axispos.xlabel) - .attr("dominant-baseline", "hanging") - .attr("text-anchor", "middle") - .attr("cursor", "pointer") - .on("click", (d) -> - redraw_plot(d) - ) - - xaxis.append("text").attr("class", "title") - .attr("y", margin.top+height+axispos.xtitle) - .attr("x", margin.left+width/2) - .attr("fill", "slateblue") - .text(xlab) - - - redraw_plot = (chr_ob) -> - #console.log("chr_name is:", chr_ob[0]) - #console.log("chr_length is:", chr_ob[1]) - $('#topchart').remove() - $('#chart_container').append('<div class="qtlcharts" id="topchart"></div>') - chr_plot = new Chr_Lod_Chart(600, 1200, chr_ob, manhattanPlot) - - # y-axis - rotate_ylab = rotate_ylab ? (ylab.length > 1) - yaxis = g.append("g").attr("class", "y axis") - yaxis.selectAll("empty") - .data(yticks) - .enter() - .append("line") - .attr("y1", (d) -> yscale(d)) - .attr("y2", (d) -> yscale(d)) - .attr("x1", margin.left) - .attr("x2", margin.left+7) - .attr("fill", "none") - .attr("stroke", "white") - .attr("stroke-width", 1) - .style("pointer-events", "none") - - yaxis.selectAll("empty") - .data(yticks) - .enter() - .append("text") - .attr("y", (d) -> yscale(d)) - .attr("x", margin.left-axispos.ylabel) - .attr("fill", "blue") - .attr("dominant-baseline", "middle") - .attr("text-anchor", "end") - .text((d) -> formatAxis(yticks)(d)) - - yaxis.append("text").attr("class", "title") - .attr("y", margin.top+height/2) - .attr("x", margin.left-axispos.ytitle) - .text(ylab) - .attr("transform", if rotate_ylab then "rotate(270,#{margin.left-axispos.ytitle},#{margin.top+height/2})" else "") - .attr("text-anchor", "middle") - .attr("fill", "slateblue") - - #if data['additive'].length > 0 - if additive - rotate_additive_ylab = rotate_additive_ylab ? (additive_ylab.length > 1) - additive_yaxis = g.append("g").attr("class", "y axis") - additive_yaxis.selectAll("empty") - .data(additive_yticks) - .enter() - .append("line") - .attr("y1", (d) -> additive_yscale(d)) - .attr("y2", (d) -> additive_yscale(d)) - .attr("x1", margin.left + width) - .attr("x2", margin.left + width - 7) - .attr("fill", "none") - .attr("stroke", "white") - .attr("stroke-width", 1) - .style("pointer-events", "none") - - additive_yaxis.selectAll("empty") - .data(additive_yticks) - .enter() - .append("text") - .attr("y", (d) -> additive_yscale(d)) - .attr("x", (d) -> margin.left + width + axispos.ylabel + 20) - .attr("fill", "green") - .attr("dominant-baseline", "middle") - .attr("text-anchor", "end") - .text((d) -> formatAxis(additive_yticks)(d)) - - additive_yaxis.append("text").attr("class", "title") - .attr("y", margin.top+1.5*height) - .attr("x", margin.left + width + axispos.ytitle) - .text(additive_ylab) - .attr("transform", if rotate_additive_ylab then "rotate(270,#{margin.left + width + axispos.ytitle}, #{margin.top+height*1.5})" else "") - .attr("text-anchor", "middle") - .attr("fill", "green") - - if 'suggestive' of data - suggestive_bar = g.append("g").attr("class", "suggestive") - suggestive_bar.selectAll("empty") - .data([data.suggestive]) - .enter() - .append("line") - .attr("y1", (d) -> yscale(d)) - .attr("y2", (d) -> yscale(d)) - .attr("x1", margin.left) - .attr("x2", margin.left+width) - .attr("fill", "none") - .attr("stroke", suggestivecolor) - .attr("stroke-width", 5) - .style("pointer-events", "none") - - suggestive_bar = g.append("g").attr("class", "significant") - suggestive_bar.selectAll("empty") - .data([data.significant]) - .enter() - .append("line") - .attr("y1", (d) -> yscale(d)) - .attr("y2", (d) -> yscale(d)) - .attr("x1", margin.left) - .attr("x2", margin.left+width) - .attr("fill", "none") - .attr("stroke", significantcolor) - .attr("stroke-width", 5) - .style("pointer-events", "none") - - if manhattanPlot == false - # lod curves by chr - lodcurve = (chr, lodcolumn) -> - d3.svg.line() - .x((d) -> xscale[chr](d)) - .y((d,i) -> yscale(data.lodByChr[chr][i][lodcolumn])) - - if additive - additivecurve = (chr, lodcolumn) -> - d3.svg.line() - .x((d) -> xscale[chr](d)) - .y((d,i) -> additive_yscale(data.additiveByChr[chr][i][lodcolumn])) - - curves = g.append("g").attr("id", "curves") - - for chr in data.chrnames - if chr.indexOf(data['chr']) - curves.append("path") - .datum(data.posByChr[chr[0]]) - .attr("d", lodcurve(chr[0], lodvarnum)) - .attr("stroke", lodlinecolor) - .attr("fill", "none") - .attr("stroke-width", linewidth) - .style("pointer-events", "none") - - if additive - for chr in data.chrnames - if chr.indexOf(data['chr']) - curves.append("path") - .datum(data.posByChr[chr[0]]) - .attr("d", additivecurve(chr[0], lodvarnum)) - .attr("stroke", additivelinecolor) - .attr("fill", "none") - .attr("stroke-width", 1) - .style("pointer-events", "none") - - # points at markers - console.log("before pointsize") - if pointsize > 0 - console.log("pointsize > 0 !!!") - markerpoints = g.append("g").attr("id", "markerpoints_visible") - markerpoints.selectAll("empty") - .data(data.markers) - .enter() - .append("circle") - .attr("cx", (d) -> xscale[d.chr](d.pos)) - .attr("cy", (d) -> yscale(d.lod)) - .attr("r", pointsize) - .attr("fill", pointcolor) - .attr("stroke", pointstroke) - .attr("pointer-events", "hidden") - - # title - titlegrp = g.append("g").attr("class", "title") - .append("text") - .attr("x", margin.left+width/2) - .attr("y", margin.top-titlepos) - .text(title) - - # another box around edge - g.append("rect") - .attr("x", margin.left) - .attr("y", margin.top) - .attr("height", height) - .attr("width", () -> - return(data.chrEnd[-1..][0]-margin.left) if pad4heatmap - data.chrEnd[-1..][0]-margin.left+chrGap/2) - .attr("fill", "none") - .attr("stroke", "black") - .attr("stroke-width", "none") - - if pointsAtMarkers - # these hidden points are what gets selected...a bit larger - hiddenpoints = g.append("g").attr("id", "markerpoints_hidden") - - markertip = d3.tip() - .attr('class', 'd3-tip') - .html((d) -> - [d.name, " LRS = #{d3.format('.2f')(d.lod)}"]) - .direction("e") - .offset([0,10]) - svg.call(markertip) - - markerSelect = - hiddenpoints.selectAll("empty") - .data(data.markers) - .enter() - .append("circle") - .attr("cx", (d) -> xscale[d.chr](d.pos)) - .attr("cy", (d) -> yscale(d.lod)) - .attr("id", (d) -> d.name) - .attr("r", d3.max([pointsize*2, 3])) - .attr("opacity", 0) - .attr("fill", pointcolor) - .attr("stroke", pointstroke) - .attr("stroke-width", "1") - .on "mouseover.paneltip", (d) -> - d3.select(this).attr("opacity", 1) - markertip.show(d) - .on "mouseout.paneltip", -> - d3.select(this).attr("opacity", 0) - .call(markertip.hide) - - ## configuration parameters - chart.width = (value) -> - return width unless arguments.length - width = value - chart - - chart.height = (value) -> - return height unless arguments.length - height = value - chart - - chart.margin = (value) -> - return margin unless arguments.length - margin = value - chart - - chart.titlepos = (value) -> - return titlepos unless arguments.length - titlepos - chart - - chart.axispos = (value) -> - return axispos unless arguments.length - axispos = value - chart - - chart.manhattanPlot = (value) -> - return manhattanPlot unless arguments.length - manhattanPlot = value - chart - - chart.ylim = (value) -> - return ylim unless arguments.length - ylim = value - chart - - #if data['additive'].length > 0 - chart.additive_ylim = (value) -> - return additive_ylim unless arguments.length - additive_ylim = value - chart - - chart.nyticks = (value) -> - return nyticks unless arguments.length - nyticks = value - chart - - chart.yticks = (value) -> - return yticks unless arguments.length - yticks = value - chart - - chart.chrGap = (value) -> - return chrGap unless arguments.length - chrGap = value - chart - - chart.darkrect = (value) -> - return darkrect unless arguments.length - darkrect = value - chart - - chart.lightrect = (value) -> - return lightrect unless arguments.length - lightrect = value - chart - - chart.linecolor = (value) -> - return linecolor unless arguments.length - linecolor = value - chart - - chart.linewidth = (value) -> - return linewidth unless arguments.length - linewidth = value - chart - - chart.pointcolor = (value) -> - return pointcolor unless arguments.length - pointcolor = value - chart - - chart.pointsize = (value) -> - return pointsize unless arguments.length - pointsize = value - chart - - chart.pointstroke = (value) -> - return pointstroke unless arguments.length - pointstroke = value - chart - - chart.title = (value) -> - return title unless arguments.length - title = value - chart - - chart.xlab = (value) -> - return xlab unless arguments.length - xlab = value - chart - - chart.ylab = (value) -> - return ylab unless arguments.length - ylab = value - chart - - chart.rotate_ylab = (value) -> - return rotate_ylab if !arguments.length - rotate_ylab = value - chart - - chart.lodvarname = (value) -> - return lodvarname unless arguments.length - lodvarname = value - chart - - chart.pad4heatmap = (value) -> - return pad4heatmap unless arguments.length - pad4heatmap = value - chart - - chart.pointsAtMarkers = (value) -> - return pointsAtMarkers unless arguments.length - pointsAtMarkers = value - chart - - chart.yscale = () -> - return yscale - - chart.additive = () -> - return additive - - #if data['additive'].length > 0 - chart.additive_yscale = () -> - return additive_yscale - - chart.xscale = () -> - return xscale - - if manhattanPlot == false - chart.lodcurve = () -> - return lodcurve - - #if data['additive'].length > 0 - chart.additivecurve = () -> - return additivecurve - - chart.markerSelect = () -> - return markerSelect - - chart.chrSelect = () -> - return chrSelect - - # return the chart function - chart - diff --git a/wqflask/wqflask/static/new/javascript/lodheatmap.coffee b/wqflask/wqflask/static/new/javascript/lodheatmap.coffee deleted file mode 100644 index 5f3716bc..00000000 --- a/wqflask/wqflask/static/new/javascript/lodheatmap.coffee +++ /dev/null @@ -1,265 +0,0 @@ -# lodheatmap: reuseable panel with heat map of LOD curves
-
-lodheatmap = () ->
- width = 1200
- height = 600
- margin = {left:100, top:40, right:40, bottom: 40}
- axispos = {xtitle:25, ytitle:30, xlabel:5, ylabel:5}
- chrGap = 8
- titlepos = 20
- rectcolor = d3.rgb(230, 230, 230)
- colors = ["slateblue", "black", "yellow"]
- title = ""
- xlab = "Chromosome"
- ylab = ""
- rotate_ylab = null
- zlim = null
- zthresh = null
- xscale = d3.scale.linear()
- yscale = d3.scale.linear()
- zscale = d3.scale.linear()
- cellSelect = null
-
- ## the main function
- chart = (selection) ->
- selection.each (data) ->
-
- data = reorgLodData(data)
- data = chrscales(data, width, chrGap, margin.left, true)
- xscale = data.xscale
-
- nlod = data.lodnames.length
- yscale.domain([-0.5, nlod-0.5]).range([margin.top+height, margin.top])
- rectHeight = yscale(0)-yscale(1)
-
- xLR = {}
- #console.log("data.posByChr:", data.posByChr["2"])
- #console.log("data.chrnames:", data.chrnames)
- for chr in data.chrnames
- #console.log("posByChr:", data.posByChr)
- #console.log("chr is:", chr)
- xLR[chr[0]] = getLeftRight(data.posByChr[chr[0]])
-
- #console.log("xLR:", xLR)
-
- # z-axis (color) limits; if not provided, make symmetric about 0
- zmin = 0
- zmax = 0
- for lodcol in data.lodnames
- extent = d3.extent(data[lodcol])
- zmin = extent[0] if extent[0] < zmin
- zmax = extent[1] if extent[1] > zmax
- zmax = -zmin if -zmin > zmax
- zlim = zlim ? [-zmax, 0, zmax]
- if zlim.length != colors.length
- console.log("zlim.length (#{zlim.length}) != colors.length (#{colors.length})")
- zscale.domain(zlim).range(colors)
-
- zthresh = zthresh ? zmin - 1
-
- data.cells = []
- for chr_ob in data.chrnames
- chr = chr_ob[0]
- #console.log("xLR[chr]:", xLR[chr])
- for pos, i in data.posByChr[chr]
- for lod,j in data.lodByChr[chr][i]
- if lod >= zthresh or lod <= -zthresh
- data.cells.push({z: lod, left: (xscale[chr](pos) + xscale[chr](xLR[chr][pos].left) )/2,
- right: (xscale[chr](pos) + xscale[chr](xLR[chr][pos].right) )/2, lodindex:j, chr:chr, pos:pos})
-
- # Select the svg element, if it exists.
- svg = d3.select(this).selectAll("svg").data([data])
-
- # Otherwise, create the skeletal chart.
- gEnter = svg.enter().append("svg").append("g")
-
- # Update the outer dimensions.
- svg.attr("width", width+margin.left+margin.right)
- .attr("height", height+margin.top+margin.bottom)
-
- g = svg.select("g")
-
- # boxes
- g.append("g").attr("id", "boxes").selectAll("empty")
- .data(data.chrnames)
- .enter()
- .append("rect")
- .attr("id", (d) -> "box#{d[0]}")
- .attr("x", (d,i) -> data.chrStart[i])
- .attr("y", (d) -> margin.top)
- .attr("height", height)
- .attr("width", (d,i) -> data.chrEnd[i] - data.chrStart[i])
- .attr("fill", rectcolor)
- .attr("stroke", "none")
-
- # title
- titlegrp = g.append("g").attr("class", "title")
- .append("text")
- .attr("x", margin.left + width/2)
- .attr("y", margin.top - titlepos)
- .text(title)
-
- # x-axis
- xaxis = g.append("g").attr("class", "x axis")
- xaxis.selectAll("empty")
- .data(data.chrnames)
- .enter()
- .append("text")
- .attr("x", (d,i) -> (data.chrStart[i] + data.chrEnd[i])/2)
- .attr("y", margin.top+height+axispos.xlabel)
- .text((d) -> d[0])
- xaxis.append("text").attr("class", "title")
- .attr("x", margin.left+width/2)
- .attr("y", margin.top+height+axispos.xtitle)
- .text(xlab)
-
- # y-axis
- rotate_ylab = rotate_ylab ? (ylab.length > 1)
- yaxis = g.append("g").attr("class", "y axis")
- yaxis.append("text").attr("class", "title")
- .attr("y", margin.top+height/2)
- .attr("x", margin.left-axispos.ytitle)
- .text(ylab)
- .attr("transform", if rotate_ylab then "rotate(270,#{margin.left-axispos.ytitle},#{margin.top+height/2})" else "")
- yaxis.selectAll("empty")
- .data(data.lodnames)
- .enter()
- .append("text")
- .attr("id", (d,i) -> "yaxis#{i}")
- .attr("y", (d,i) -> yscale(i))
- .attr("x", margin.left-axispos.ylabel)
- .text((d) -> d)
- .attr("opacity", 0)
-
- celltip = d3.tip()
- .attr('class', 'd3-tip')
- .html((d) ->
- z = d3.format(".2f")(Math.abs(d.z))
- p = d3.format(".1f")(d.pos)
- "#{d.chr}@#{p} → #{z}")
- .direction('e')
- .offset([0,10])
- svg.call(celltip)
-
- cells = g.append("g").attr("id", "cells")
- cellSelect =
- cells.selectAll("empty")
- .data(data.cells)
- .enter()
- .append("rect")
- .attr("x", (d) -> d.left)
- .attr("y", (d) -> yscale(d.lodindex)-rectHeight/2)
- .attr("width", (d) -> d.right - d.left)
- .attr("height", rectHeight)
- .attr("class", (d,i) -> "cell#{i}")
- .attr("fill", (d) -> zscale(d.z))
- .attr("stroke", "none")
- .attr("stroke-width", "1")
- .on("mouseover.paneltip", (d) ->
- yaxis.select("text#yaxis#{d.lodindex}").attr("opacity", 1)
- d3.select(this).attr("stroke", "black")
- celltip.show(d))
- .on("mouseout.paneltip", (d) ->
- yaxis.select("text#yaxis#{d.lodindex}").attr("opacity", 0)
- d3.select(this).attr("stroke", "none")
- celltip.hide())
-
- # boxes
- g.append("g").attr("id", "boxes").selectAll("empty")
- .data(data.chrnames)
- .enter()
- .append("rect")
- .attr("id", (d) -> "box#{d}")
- .attr("x", (d,i) -> data.chrStart[i])
- .attr("y", (d) -> margin.top)
- .attr("height", height)
- .attr("width", (d,i) -> data.chrEnd[i] - data.chrStart[i])
- .attr("fill", "none")
- .attr("stroke", "black")
- .attr("stroke-width", "none")
-
- ## configuration parameters
- chart.width = (value) ->
- return width if !arguments.length
- width = value
- chart
-
- chart.height = (value) ->
- return height if !arguments.length
- height = value
- chart
-
- chart.margin = (value) ->
- return margin if !arguments.length
- margin = value
- chart
-
- chart.axispos = (value) ->
- return axispos if !arguments.length
- axispos = value
- chart
-
- chart.titlepos = (value) ->
- return titlepos if !arguments.length
- titlepos
- chart
-
- chart.rectcolor = (value) ->
- return rectcolor if !arguments.length
- rectcolor = value
- chart
-
- chart.colors = (value) ->
- return colors if !arguments.length
- colors = value
- chart
-
- chart.title = (value) ->
- return title if !arguments.length
- title = value
- chart
-
- chart.xlab = (value) ->
- return xlab if !arguments.length
- xlab = value
- chart
-
- chart.ylab = (value) ->
- return ylab if !arguments.length
- ylab = value
- chart
-
- chart.rotate_ylab = (value) ->
- return rotate_ylab if !arguments.length
- rotate_ylab = value
- chart
-
- chart.zthresh = (value) ->
- return zthresh if !arguments.length
- zthresh = value
- chart
-
- chart.zlim = (value) ->
- return zlim if !arguments.length
- zlim = value
- chart
-
- chart.chrGap = (value) ->
- return chrGap if !arguments.length
- chrGap = value
- chart
-
- chart.xscale = () ->
- return xscale
-
- chart.yscale = () ->
- return yscale
-
- chart.zscale = () ->
- return zscale
-
- chart.cellSelect = () ->
- return cellSelect
-
- # return the chart function
- chart
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/login.coffee b/wqflask/wqflask/static/new/javascript/login.coffee deleted file mode 100644 index 15dafd9a..00000000 --- a/wqflask/wqflask/static/new/javascript/login.coffee +++ /dev/null @@ -1,42 +0,0 @@ -$ -> - - - modalize = (event) -> - event.preventDefault() - console.log("in modal_replace:", $(this).attr("href")) - $.colorbox( - open: true - href: this.href - onComplete: -> - $(".focused").focus() - ) - - - - $(document).one("click", ".modalize", modalize) - console.log("Modalized click!!!") - - form_success = (data) -> - $.colorbox( - open: true - html: data - onComplete: -> - $("form").on("submit", submit_form) - ) - - - submit_form = (event) -> - event.preventDefault() - submit_to = $(this).attr('action') - data = $(this).serialize() - console.log("submit_to is:", submit_to) - $.ajax( - type: "POST" - url: submit_to - data: data - dataType: "html" - success: form_success - ) - - - $("#colorbox form").on("submit", submit_form) diff --git a/wqflask/wqflask/static/new/javascript/network_graph.js b/wqflask/wqflask/static/new/javascript/network_graph.js index 0ecf4743..02c3b817 100644 --- a/wqflask/wqflask/static/new/javascript/network_graph.js +++ b/wqflask/wqflask/static/new/javascript/network_graph.js @@ -1,18 +1,9 @@ -window.onload=function() { - // id of Cytoscape Web container div - //var div_id = "cytoscapeweb"; - - var cy = cytoscape({ - container: $('#cytoscapeweb'), // container to render in - - elements: elements_list, - - style: [ // the stylesheet for the graph +var default_style = [ // the stylesheet for the graph { selector: 'node', style: { 'background-color': '#666', - 'label': 'data(label )', + 'label': 'data(label)', 'font-size': 10 } }, @@ -27,16 +18,28 @@ window.onload=function() { 'font-size': 8 } } - ], - - zoom: 12, - layout: { name: 'circle', + ] + +var default_layout = { name: 'circle', fit: true, // whether to fit the viewport to the graph padding: 30 // the padding on fit //idealEdgeLength: function( edge ){ return edge.data['correlation']*10; }, - }, + } + +window.onload=function() { + // id of Cytoscape Web container div + //var div_id = "cytoscapeweb"; + var cy = cytoscape({ + container: $('#cytoscapeweb'), // container to render in + + elements: elements_list, + style: default_style, + + zoom: 12, + layout: default_layout, + zoomingEnabled: true, userZoomingEnabled: true, panningEnabled: true, @@ -82,7 +85,7 @@ window.onload=function() { cy.nodes().qtip({ content: function(){ qtip_content = '' - gn_link = '<b>'+'<a href="http://gn2.genenetwork.org/show_trait?trait_id=' + this.data().id.split(":")[0] + '&dataset=' + this.data().id.split(":")[1] + '" >'+this.data().id +'</a>'+'</b><br>' + gn_link = '<b>'+'<a href="' + gn2_url + '/show_trait?trait_id=' + this.data().id.split(":")[0] + '&dataset=' + this.data().id.split(":")[1] + '" >'+this.data().id +'</a>'+'</b><br>' qtip_content += gn_link if (typeof(this.data().geneid) !== 'undefined'){ ncbi_link = '<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene&cmd=Retrieve&dopt=Graphics&list_uids=' + this.data().geneid + '" >NCBI<a>'+'<br>' @@ -112,7 +115,7 @@ window.onload=function() { correlation_line = '<b>Sample r: ' + this.data().correlation + '</b><br>' p_value_line = 'Sample p(r): ' + this.data().p_value + '<br>' overlap_line = 'Overlap: ' + this.data().overlap + '<br>' - scatter_plot = '<a href="http://gn2-zach.genenetwork.org/corr_scatter_plot?dataset_1=' + this.data().source.split(":")[1] + '&dataset_2=' + this.data().target.split(":")[1] + '&trait_1=' + this.data().source.split(":")[0] + '&trait_2=' + this.data().target.split(":")[0] + '" >View Scatterplot</a>' + scatter_plot = '<a href="' + gn2_url + '/corr_scatter_plot?dataset_1=' + this.data().source.split(":")[1] + '&dataset_2=' + this.data().target.split(":")[1] + '&trait_1=' + this.data().source.split(":")[0] + '&trait_2=' + this.data().target.split(":")[0] + '" >View Scatterplot</a>' return correlation_line + p_value_line + overlap_line + scatter_plot }, position: { @@ -131,37 +134,41 @@ window.onload=function() { create_qtips(cy) - $('#slide').change(function() { + $('#neg_slide').change(function() { eles.restore() + + pos_slide_val = $('#pos_slide').val(); + cy.$("node[max_corr > " + $(this).val() + "][max_corr < " + pos_slide_val + "]").remove(); + cy.$("edge[correlation > " + $(this).val() + "][correlation < " + pos_slide_val + "]").remove(); + + cy.layout({ name: $('select[name=layout_select]').val(), + fit: true, // whether to fit the viewport to the graph + padding: 25 // the padding on fit + }).run(); - console.log(eles) - - // nodes_to_restore = eles.filter("node[max_corr >= " + $(this).val() + "], edge[correlation >= " + $(this).val() + "][correlation <= -" + $(this).val() + "]") - // nodes_to_restore.restore() - - // edges_to_restore = eles.filter("edge[correlation >= " + $(this).val() + "][correlation <= -" + $(this).val() + "]") - // edges_to_restore.restore() - - //cy.$("node[max_corr >= " + $(this).val() + "]").restore(); - //cy.$("edge[correlation >= " + $(this).val() + "][correlation <= -" + $(this).val() + "]").restore(); - - cy.$("node[max_corr < " + $(this).val() + "]").remove(); - cy.$("edge[correlation < " + $(this).val() + "][correlation > -" + $(this).val() + "]").remove(); + }); + $('#pos_slide').change(function() { + eles.restore() + + neg_slide_val = $('#neg_slide').val(); + cy.$("node[max_corr > " + neg_slide_val +"][max_corr < " + $(this).val() + "]").remove(); + cy.$("edge[correlation > " + neg_slide_val +"][correlation < " + $(this).val() + "]").remove(); cy.layout({ name: $('select[name=layout_select]').val(), fit: true, // whether to fit the viewport to the graph padding: 25 // the padding on fit - }); + }).run(); }); $('#reset_graph').click(function() { eles.restore() - $('#slide').val(0) + $('#pos_slide').val(0) + $('#neg_slide').val(0) cy.layout({ name: $('select[name=layout_select]').val(), fit: true, // whether to fit the viewport to the graph padding: 25 // the padding on fit - }); + }).run(); }); $('select[name=focus_select]').change(function() { @@ -173,26 +180,77 @@ window.onload=function() { cy.layout({ name: $('select[name=layout_select]').val(), fit: true, // whether to fit the viewport to the graph padding: 25 // the padding on fit - }); + }).run(); }); $('select[name=layout_select]').change(function() { layout_type = $(this).val() - console.log("LAYOUT:", layout_type) cy.layout({ name: layout_type, fit: true, // whether to fit the viewport to the graph padding: 25 // the padding on fit - }); + }).run(); }); + $('select[name=font_size]').change(function() { + font_size = $(this).val() + + new_style = default_style + new_style[0]['style']['font-size'] = parseInt(font_size) + cy.style().fromJson(new_style).update() + }); + $('select[name=edge_width]').change(function() { + //eles.restore() + + //ZS: This is needed, or else it alters the original object + orig_elements = JSON.parse(JSON.stringify(elements_list)); + + width_multiplier = $(this).val() + updated_elements = [] + for (i=0; i < orig_elements.length; i++){ + this_element = orig_elements[i] + if ('source' in this_element['data']) { + orig_width = this_element['data']['width'] + this_element['data']['width'] = orig_width * width_multiplier + } + updated_elements.push(this_element) + } + cy.remove(eles) + cy.add(updated_elements) + cy.layout({ name: $('select[name=layout_select]').val(), + fit: true, // whether to fit the viewport to the graph + padding: 25 // the padding on fit + }).run(); + }); + + $('select[name=edge_width]').change(function() { + //eles.restore() + + //ZS: This is needed, or else it alters the original object + orig_elements = JSON.parse(JSON.stringify(elements_list)); + + width_multiplier = $(this).val() + updated_elements = [] + for (i=0; i < orig_elements.length; i++){ + this_element = orig_elements[i] + if ('source' in this_element['data']) { + orig_width = this_element['data']['width'] + this_element['data']['width'] = orig_width * width_multiplier + } + updated_elements.push(this_element) + } + cy.remove(eles) + cy.add(updated_elements) + cy.layout({ name: $('select[name=layout_select]').val(), + fit: true, // whether to fit the viewport to the graph + padding: 25 // the padding on fit + }).run(); + }); + $("a#image_link").click(function(e) { var pngData = cy.png(); $(this).attr('href', pngData); $(this).attr('download', 'network_graph.png'); - - console.log("TESTING:", image_link) - }); diff --git a/wqflask/wqflask/static/new/javascript/panelutil.coffee b/wqflask/wqflask/static/new/javascript/panelutil.coffee deleted file mode 100644 index f7b51457..00000000 --- a/wqflask/wqflask/static/new/javascript/panelutil.coffee +++ /dev/null @@ -1,356 +0,0 @@ -# A variety of utility functions used by the different panel functions - -# determine rounding of axis labels -formatAxis = (d, extra_digits=0) -> - d = d[1] - d[0] - ndig = Math.floor( Math.log(d % 10) / Math.log(10) ) - ndig = 0 if ndig > 0 - ndig = Math.abs(ndig) + extra_digits - d3.format(".#{ndig}f") - -# unique values of array (ignore nulls) -unique = (x) -> - output = {} - output[v] = v for v in x when v - output[v] for v of output - -# Pull out a variable (column) from a two-dimensional array -pullVarAsArray = (data, variable) -> - v = [] - for i of data - v = v.concat data[i][variable] - v - - -# reorganize lod/pos by chromosome -# lodvarname==null -> case for multiple LOD columns (lodheatmap) -# lodvarname provided -> case for one LOD column (lodchart) -reorgLodData = (data, lodvarname=null) -> - data.posByChr = {} - data.lodByChr = {} - - for chr,i in data.chrnames - if data.chr.indexOf(chr[0]) - data.posByChr[chr[0]] = [] - data.lodByChr[chr[0]] = [] - for pos, j in data.pos - if data.chr[j].toString() == chr[0] - data.posByChr[chr[0]].push(pos) - data.lodnames = [data.lodnames] unless Array.isArray(data.lodnames) - lodval = (data[lodcolumn][j] for lodcolumn in data.lodnames) - data.lodByChr[chr[0]].push(lodval) - - #console.log("data.posByChr:", data.posByChr) - - if lodvarname? - data.markers = [] - for marker,i in data.markernames - if marker != "" - data.markers.push({name:marker, chr:data.chr[i], pos:data.pos[i], lod:data[lodvarname][i]}) - - data - -# calculate chromosome start/end + scales, for heat map -chrscales = (data, width, chrGap, leftMargin, pad4heatmap) -> - # start and end of chromosome positions - chrStart = [] - chrEnd = [] - chrLength = [] - totalChrLength = 0 - maxd = 0 - for chr in data.chrnames - d = maxdiff(data.posByChr[chr[0]]) - maxd = d if d > maxd - - rng = d3.extent(data.posByChr[chr[0]]) - chrStart.push(rng[0]) - chrEnd.push(rng[1]) - L = rng[1] - rng[0] - chrLength.push(L) - totalChrLength += L - - # adjust lengths for heatmap - if pad4heatmap - data.recwidth = maxd - chrStart = chrStart.map (x) -> x-maxd/2 - chrEnd = chrEnd.map (x) -> x+maxd/2 - chrLength = chrLength.map (x) -> x+maxd - totalChrLength += (chrLength.length*maxd) - - # break up x axis into chromosomes by length, with gaps - data.chrStart = [] - data.chrEnd = [] - cur = leftMargin - cur += chrGap/2 unless pad4heatmap - data.xscale = {} - for chr,i in data.chrnames - data.chrStart.push(cur) - w = Math.round((width-chrGap*(data.chrnames.length-pad4heatmap))/totalChrLength*chrLength[i]) - data.chrEnd.push(cur + w) - cur = data.chrEnd[i] + chrGap - # x-axis scales, by chromosome - data.xscale[chr[0]] = d3.scale.linear() - .domain([chrStart[i], chrEnd[i]]) - .range([data.chrStart[i], data.chrEnd[i]]) - - # return data with new stuff added - data - - -# reorganize lod/pos by chromosome -# lodvarname==null -> case for multiple LOD columns (lodheatmap) -# lodvarname provided -> case for one LOD column (lodchart) -#reorgLodData = (data, lodvarname=null) -> -# data.posByChr = {} -# data.lodByChr = {} -# -# #console.log("data.chr", data.chr) -# #console.log("data.chrnames:", data.chrnames) -# the_chr = "0" -# for chr,i in data.chrnames -# data.posByChr[chr] = [] -# data.lodByChr[chr] = [] -# for pos,j in data.pos -# console.log("data.chr[j][0]:", data.chr[j][0]) -# if data.chr[j][0] == chr -# console.log("IS EQUAL") -# data.posByChr[chr].push(pos) -# data.lodnames = [data.lodnames] unless Array.isArray(data.lodnames) -# lodval = (data[lodcolumn][j] for lodcolumn in data.lodnames) -# data.lodByChr[chr].push(lodval) -# -# if lodvarname? -# data.markers = [] -# for marker,i in data.markernames -# if marker != "" -# data.markers.push({name:marker, chr:data.chr[i][0], pos:data.pos[i], lod:data[lodvarname][i]}) -# -# data - -# calculate chromosome start/end + scales, for heat map -#chrscales = (data, width, chrGap, leftMargin, pad4heatmap) -> -# # start and end of chromosome positions -# chrStart = [] -# chrEnd = [] -# chrLength = [] -# totalChrLength = 0 -# maxd = 0 -# for chr in data.chrnames -# d = maxdiff(data.posByChr[chr]) -# maxd = d if d > maxd -# -# rng = d3.extent(data.posByChr[chr]) -# chrStart.push(rng[0]) -# chrEnd.push(rng[1]) -# L = rng[1] - rng[0] -# chrLength.push(L) -# totalChrLength += L -# -# # adjust lengths for heatmap -# if pad4heatmap -# data.recwidth = maxd -# chrStart = chrStart.map (x) -> x-maxd/2 -# chrEnd = chrEnd.map (x) -> x+maxd/2 -# chrLength = chrLength.map (x) -> x+maxd -# totalChrLength += (chrLength.length*maxd) -# -# # break up x axis into chromosomes by length, with gaps -# data.chrStart = [] -# data.chrEnd = [] -# cur = leftMargin -# cur += chrGap/2 unless pad4heatmap -# data.xscale = {} -# for chr,i in data.chrnames -# data.chrStart.push(cur) -# w = Math.round((width-chrGap*(data.chrnames.length-pad4heatmap))/totalChrLength*chrLength[i]) -# data.chrEnd.push(cur + w) -# cur = data.chrEnd[i] + chrGap -# # x-axis scales, by chromosome -# data.xscale[chr] = d3.scale.linear() -# .domain([chrStart[i], chrEnd[i]]) -# .range([data.chrStart[i], data.chrEnd[i]]) -# -# # return data with new stuff added -# data - -# Select a set of categorical colors -# ngroup is positive integer -# palette = "dark" or "pastel" -selectGroupColors = (ngroup, palette) -> - return [] if ngroup == 0 - - if palette == "dark" - return ["slateblue"] if ngroup == 1 - return ["MediumVioletRed", "slateblue"] if ngroup == 2 - return colorbrewer.Set1[ngroup] if ngroup <= 9 - return d3.scale.category20().range()[0...ngroup] - else - return ["#bebebe"] if ngroup == 1 - return ["lightpink", "lightblue"] if ngroup == 2 - return colorbrewer.Pastel1[ngroup] if ngroup <= 9 - # below is rough attempt to make _big_ pastel palette - return ["#8fc7f4", "#fed7f8", "#ffbf8e", "#fffbb8", - "#8ce08c", "#d8ffca", "#f68788", "#ffd8d6", - "#d4a7fd", "#f5f0f5", "#cc968b", "#f4dcd4", - "#f3b7f2", "#f7f6f2", "#bfbfbf", "#f7f7f7", - "#fcfd82", "#fbfbcd", "#87feff", "#defaf5"][0...ngroup] - -# expand element/array (e.g., of colors) to a given length -# single elment -> array, then repeated to length n -expand2vector = (input, n) -> - return input unless input? # return null if null - return input if Array.isArray(input) and input.length >= n - input = [input] unless Array.isArray(input) - input = (input[0] for i of d3.range(n)) if input.length == 1 and n > 1 - input - -# median of a vector -median = (x) -> - return null if !x? - n = x.length - x.sort((a,b) -> a-b) - if n % 2 == 1 - return x[(n-1)/2] - (x[n/2] + x[(n/2)-1])/2 - -# given a vector of x's, return hash with values to left and right, and the differences -getLeftRight = (x) -> - n = x.length - x.sort( (a,b) -> a-b ) - - xdif = [] - result = {} - for v in x - result[v] = {} - - for i in [1...n] - #console.log("result:", result) - xdif.push(x[i]-x[i-1]) - result[x[i]].left = x[i-1] - for i in [0...(n-1)] - result[x[i]].right = x[i+1] - - xdif = median(xdif) - result.mediandiff = xdif - - result[x[0]].left = x[0]-xdif - result[x[n-1]].right = x[n-1]+xdif - result.extent = [x[0]-xdif/2, x[n-1]+xdif/2] - - result - -# maximum difference between adjacent values in a vector -maxdiff = (x) -> - return null if x.length < 2 - result = x[1] - x[0] - return result if x.length < 3 - for i in [2...x.length] - d = x[i] - x[i-1] - result = d if d > result - result - -# matrix extent, min max -matrixMin = (mat) -> - result = mat[0][0] - for i of mat - for j of mat[i] - result = mat[i][j] if result > mat[i][j] - result - -matrixMax = (mat) -> - result = mat[0][0] - for i of mat - for j of mat[i] - result = mat[i][j] if result < mat[i][j] - result - -matrixMaxAbs = (mat) -> - result = Math.abs(mat[0][0]) - for i of mat - for j of mat[i] - result = Math.abs(mat[i][j]) if result < mat[i][j] - result - -matrixExtent = (mat) -> [matrixMin(mat), matrixMax(mat)] - -d3.selection.prototype.moveToFront = () -> - this.each () -> this.parentNode.appendChild(this) - -d3.selection.prototype.moveToBack = () -> - this.each () -> - firstChild = this.parentNode.firstchild - this.parentNode.insertBefore(this, firstChild) if firstChild - -forceAsArray = (x) -> - return x unless x? # if null, return null - return x if Array.isArray(x) - [x] - -# any values in vec that appear in missing are made null -missing2null = (vec, missingvalues=['NA', '']) -> - vec.map (value) -> if missingvalues.indexOf(value) > -1 then null else value - -# display error at top of page -displayError = (message) -> - if d3.select("div.error").empty() # no errors yet - d3.select("body") - .insert("div", ":first-child") - .attr("class", "error") - d3.select("div.error") - .append("p") - .text(message) - -# sum values in an array -sumArray = (vec) -> (vec.reduce (a,b) -> a+b) - -# calculate cross-tabulation -calc_crosstab = (data) -> - nrow = data.ycat.length - ncol = data.xcat.length - - result = ((0 for col in [0..ncol]) for row in [0..nrow]) # matrix of 0's - - # count things up - for i of data.x - result[data.y[i]][data.x[i]] += 1 - - # row and column sums - rs = rowSums(result) - cs = colSums(result) - - # fill in column sums - for i in [0...ncol] - result[nrow][i] = cs[i] - - # fill in row sums - for i in [0...nrow] - result[i][ncol] = rs[i] - - # fill in total - result[nrow][ncol] = sumArray(rs) - - result - -# rowSums: the sums for each row -rowSums = (mat) -> (sumArray(x) for x in mat) - -# transpose: matrix transpose -transpose = (mat) -> ((mat[i][j] for i in [0...mat.length]) for j in [0...mat[0].length]) - -# colSums = the sums for each column -colSums = (mat) -> rowSums(transpose(mat)) - -# log base 2 -log2 = (x) -> - return(x) unless x? - Math.log(x)/Math.log(2.0) - -# log base 10 -log10 = (x) -> - return(x) unless x? - Math.log(x)/Math.log(10.0) - -# absolute value, preserving nulls -abs = (x) -> - return(x) unless x? - Math.abs(x)
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/password_strength.coffee b/wqflask/wqflask/static/new/javascript/password_strength.coffee deleted file mode 100644 index 0bee5836..00000000 --- a/wqflask/wqflask/static/new/javascript/password_strength.coffee +++ /dev/null @@ -1,33 +0,0 @@ -$ -> - - - $("#password").keyup -> - passtext = $(this).val() - result = zxcvbn(passtext) - if passtext.length < 6 - $("#password_strength").html('') - $("#password_alert").fadeOut() - else - word = word_score(result.score) - crack_time = result.crack_time_display - if crack_time == "instant" - crack_time = "a second" - display = "This is #{word} password. It can be cracked in #{crack_time}." - $("#password_strength").html(display) - $("#password_alert").fadeIn() - - - - word_score = (num_score) -> - num_score = parseInt(num_score) - console.log("num_score is:", num_score) - mapping = - 0: "a <strong>terrible</strong>" - 1: "a <strong>bad</strong>" - 2: "a <strong>mediocre</strong>" - 3: "a <strong>good</strong>" - 4: "an <strong>excellent</strong>" - console.log("mapping is:", mapping) - result = mapping[num_score] - console.log("result is:", result) - return result
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/plotly_probability_plot.js b/wqflask/wqflask/static/new/javascript/plotly_probability_plot.js index 97d768c8..e8b7ab83 100644 --- a/wqflask/wqflask/static/new/javascript/plotly_probability_plot.js +++ b/wqflask/wqflask/static/new/javascript/plotly_probability_plot.js @@ -161,26 +161,56 @@ intercept_line['samples_all'] = [[first_x, last_x], [first_value, last_value]] } + val_range = Math.max(...y_values['samples_all']) - Math.min(...y_values['samples_all']) + if (val_range < 4){ + tick_digits = '.1f' + } else if (val_range < 0.4) { + tick_digits = '.2f' + } else { + tick_digits = 'f' + } + var layout = { + title: "<b>Trait " + js_data.trait_id + ": " + js_data.short_description + "</b>", margin: { - l: 50, + l: 100, r: 30, - t: 30, - b: 80 + t: 80, + b: 60 }, xaxis: { + title: "<b>Normal Theoretical Quantiles</b>", range: [first_x, last_x], zeroline: false, visible: true, linecolor: 'black', linewidth: 1, + titlefont: { + family: "arial", + size: 20 + }, + ticklen: 4, + tickfont: { + size: 16 + } }, yaxis: { zeroline: false, visible: true, linecolor: 'black', linewidth: 1, - } + titlefont: { + family: "arial", + size: 20 + }, + ticklen: 4, + tickfont: { + size: 16 + }, + tickformat: tick_digits, + automargin: true + }, + hovermode: "closest" } var primary_trace = { @@ -188,8 +218,12 @@ y: y_values['samples_primary'], mode: 'markers', type: 'scatter', - name: js_data.sample_group_types['samples_primary'], - text: point_names['samples_primary'] + name: 'Samples', + text: point_names['samples_primary'], + marker: { + color: 'blue', + width: 6 + } } if ("samples_other" in js_data.sample_group_types) { var other_trace = { @@ -198,7 +232,11 @@ mode: 'markers', type: 'scatter', name: js_data.sample_group_types['samples_other'], - text: point_names['samples_other'] + text: point_names['samples_other'], + marker: { + color: 'blue', + width: 6 + } } } @@ -208,7 +246,11 @@ y: intercept_line['samples_primary'][1], mode: 'lines', type: 'scatter', - name: 'Intercept', + name: 'Normal Function', + line: { + color: 'black', + width: 1 + } } } else if (sample_group == "samples_other"){ var other_intercept_trace = { @@ -216,7 +258,11 @@ y: intercept_line['samples_other'][1], mode: 'lines', type: 'scatter', - name: 'Intercept', + name: 'Normal Function', + line: { + color: 'black', + width: 1 + } } } else { var all_intercept_trace = { @@ -224,20 +270,24 @@ y: intercept_line['samples_all'][1], mode: 'lines', type: 'scatter', - name: 'Intercept', + name: 'Normal Function', + line: { + color: 'black', + width: 1 + } } } if (sample_group == "samples_primary"){ - var data = [primary_trace, primary_intercept_trace] + var data = [primary_intercept_trace, primary_trace] } else if (sample_group == "samples_other"){ - var data = [other_trace, other_intercept_trace] + var data = [other_intercept_trace, other_trace] } else { - var data = [primary_trace, other_trace, all_intercept_trace] + var data = [all_intercept_trace, primary_trace, other_trace] } console.log("TRACE:", data) - Plotly.newPlot('prob_plot_div', data, layout) + Plotly.newPlot('prob_plot_div', data, layout, root.modebar_options) }; root.redraw_prob_plot_impl = redraw_prob_plot; diff --git a/wqflask/wqflask/static/new/javascript/scatterplot.coffee b/wqflask/wqflask/static/new/javascript/scatterplot.coffee deleted file mode 100644 index 008ab925..00000000 --- a/wqflask/wqflask/static/new/javascript/scatterplot.coffee +++ /dev/null @@ -1,430 +0,0 @@ -root = exports ? this
-
-scatterplot = () ->
- width = 800
- height = 600
- margin = {left:60, top:40, right:40, bottom: 40, inner:5}
- axispos = {xtitle:25, ytitle:45, xlabel:5, ylabel:5}
- titlepos = 20
- xNA = {handle:true, force:false, width:15, gap:10}
- yNA = {handle:true, force:false, width:15, gap:10}
- xlim = null
- ylim = null
- nxticks = 5
- xticks = null
- nyticks = 5
- yticks = null
- rectcolor = d3.rgb(230, 230, 230)
- pointcolor = null
- pointstroke = "black"
- pointsize = 3 # default = no visible points at markers
- title = "Correlation Scatterplot"
- xlab = "X"
- ylab = "Y"
- rotate_ylab = null
- yscale = d3.scale.linear()
- xscale = d3.scale.linear()
- xvar = 0
- yvar = 1
- pointsSelect = null
- dataByInd = false
-
- ## the main function
- chart = (selection) ->
- selection.each (data) ->
-
- if dataByInd
- x = data.data.map (d) -> d[xvar]
- y = data.data.map (d) -> d[yvar]
- else # reorganize data
- x = data.data[xvar]
- y = data.data[yvar]
-
- console.log("x:", x)
- console.log("y:", y)
-
-
- # grab indID if it's there
- # if no indID, create a vector of them
- indID = data?.indID ? null
- indID = indID ? [1..x.length]
-
- console.log("indID:", indID)
-
- # groups of colors
- group = data?.group ? (1 for i in x)
- ngroup = d3.max(group)
- group = (g-1 for g in group) # changed from (1,2,3,...) to (0,1,2,...)
-
- # colors of the points in the different groups
- pointcolor = pointcolor ? selectGroupColors(ngroup, "dark")
- pointcolor = expand2vector(pointcolor, ngroup)
-
- # if all (x,y) not null
- xNA.handle = false if x.every (v) -> (v?) and !xNA.force
- yNA.handle = false if y.every (v) -> (v?) and !yNA.force
- if xNA.handle
- paneloffset = xNA.width + xNA.gap
- panelwidth = width - paneloffset
- else
- paneloffset = 0
- panelwidth = width
- if yNA.handle
- panelheight = height - (yNA.width + yNA.gap)
- else
- panelheight = height
-
- xlim = xlim ? d3.extent(x)
- ylim = ylim ? d3.extent(y)
-
- # I'll replace missing values something smaller than what's observed
- na_value = d3.min(x.concat y) - 100
-
- # Select the svg element, if it exists.
- svg = d3.select(this).selectAll("svg").data([data])
-
- # Otherwise, create the skeletal chart.
- gEnter = svg.enter().append("svg").append("g")
-
- # Update the outer dimensions.
- svg.attr("width", width+margin.left+margin.right)
- .attr("height", height+margin.top+margin.bottom)
-
- g = svg.select("g")
-
- # box
- g.append("rect")
- .attr("x", paneloffset+margin.left)
- .attr("y", margin.top)
- .attr("height", panelheight)
- .attr("width", panelwidth)
- .attr("fill", rectcolor)
- .attr("stroke", "none")
- if xNA.handle
- g.append("rect")
- .attr("x", margin.left)
- .attr("y", margin.top)
- .attr("height", panelheight)
- .attr("width", xNA.width)
- .attr("fill", rectcolor)
- .attr("stroke", "none")
- if xNA.handle and yNA.handle
- g.append("rect")
- .attr("x", margin.left)
- .attr("y", margin.top+height - yNA.width)
- .attr("height", yNA.width)
- .attr("width", xNA.width)
- .attr("fill", rectcolor)
- .attr("stroke", "none")
- if yNA.handle
- g.append("rect")
- .attr("x", margin.left+paneloffset)
- .attr("y", margin.top+height-yNA.width)
- .attr("height", yNA.width)
- .attr("width", panelwidth)
- .attr("fill", rectcolor)
- .attr("stroke", "none")
-
- # simple scales (ignore NA business)
- xrange = [margin.left+paneloffset+margin.inner, margin.left+paneloffset+panelwidth-margin.inner]
- yrange = [margin.top+panelheight-margin.inner, margin.top+margin.inner]
- xscale.domain(xlim).range(xrange)
- yscale.domain(ylim).range(yrange)
- xs = d3.scale.linear().domain(xlim).range(xrange)
- ys = d3.scale.linear().domain(ylim).range(yrange)
-
- # "polylinear" scales to handle missing values
- if xNA.handle
- xscale.domain([na_value].concat xlim)
- .range([margin.left + xNA.width/2].concat xrange)
- x = x.map (e) -> if e? then e else na_value
- if yNA.handle
- yscale.domain([na_value].concat ylim)
- .range([height+margin.top-yNA.width/2].concat yrange)
- y = y.map (e) -> if e? then e else na_value
-
- minx = xlim[0]
- maxx = xlim[1]
-
- # if yticks not provided, use nyticks to choose pretty ones
- yticks = yticks ? ys.ticks(nyticks)
- xticks = xticks ? xs.ticks(nxticks)
-
- # title
- titlegrp = g.append("g").attr("class", "title")
- .append("text")
- .attr("x", margin.left + width/2)
- .attr("y", margin.top - titlepos)
- .text(title)
-
- # x-axis
- xaxis = g.append("g").attr("class", "x axis")
- xaxis.selectAll("empty")
- .data(xticks)
- .enter()
- .append("line")
- .attr("x1", (d) -> xscale(d))
- .attr("x2", (d) -> xscale(d))
- .attr("y1", margin.top)
- .attr("y2", margin.top+height)
- .attr("fill", "none")
- .attr("stroke", "white")
- .attr("stroke-width", 1)
- .style("pointer-events", "none")
- xaxis.selectAll("empty")
- .data(xticks)
- .enter()
- .append("text")
- .attr("x", (d) -> xscale(d))
- .attr("y", margin.top+height+axispos.xlabel)
- .text((d) -> formatAxis(xticks)(d))
- xaxis.append("text").attr("class", "title")
- .attr("x", margin.left+width/2)
- .attr("y", margin.top+height+axispos.xtitle)
- .text(xlab)
- if xNA.handle
- xaxis.append("text")
- .attr("x", margin.left+xNA.width/2)
- .attr("y", margin.top+height+axispos.xlabel)
- .text("N/A")
-
- # y-axis
- rotate_ylab = rotate_ylab ? (ylab.length > 1)
- yaxis = g.append("g").attr("class", "y axis")
- yaxis.selectAll("empty")
- .data(yticks)
- .enter()
- .append("line")
- .attr("y1", (d) -> yscale(d))
- .attr("y2", (d) -> yscale(d))
- .attr("x1", margin.left)
- .attr("x2", margin.left+width)
- .attr("fill", "none")
- .attr("stroke", "white")
- .attr("stroke-width", 1)
- .style("pointer-events", "none")
- yaxis.selectAll("empty")
- .data(yticks)
- .enter()
- .append("text")
- .attr("y", (d) -> yscale(d))
- .attr("x", margin.left-axispos.ylabel)
- .text((d) -> formatAxis(yticks)(d))
- yaxis.append("text").attr("class", "title")
- .attr("y", margin.top+height/2)
- .attr("x", margin.left-axispos.ytitle)
- .text(ylab)
- .attr("transform", if rotate_ylab then "rotate(270,#{margin.left-axispos.ytitle},#{margin.top+height/2})" else "")
- if yNA.handle
- yaxis.append("text")
- .attr("x", margin.left-axispos.ylabel)
- .attr("y", margin.top+height-yNA.width/2)
- .text("N/A")
-
- indtip = d3.tip()
- .attr('class', 'd3-tip')
- .html((d,i) -> indID[i])
- .direction('e')
- .offset([0,10])
- svg.call(indtip)
-
-
- if js_data.slope and js_data.intercept
- g.append("line")
- .attr("x1", xscale(minx) - margin.inner)
- .attr('y1', yscale(js_data.slope*minx+js_data.intercept))
- .attr("x2", xscale(maxx*1) + margin.inner)
- .attr("y2", yscale(slope*maxx*1+intercept))
- .style("stroke", "black")
- .style("stroke-width", 2)
-
- points = g.append("g").attr("id", "points")
- pointsSelect =
- points.selectAll("empty")
- .data(d3.range(x.length))
- .enter()
- .append("circle")
- .attr("cx", (d,i) -> xscale(x[i]))
- .attr("cy", (d,i) -> yscale(y[i]))
- .attr("class", (d,i) -> "pt#{i}")
- .attr("r", pointsize)
- .attr("fill", (d,i) -> pointcolor[group[i]])
- .attr("stroke", pointstroke)
- .attr("stroke-width", "1")
- .attr("opacity", (d,i) ->
- return 1 if (x[i]? or xNA.handle) and (y[i]? or yNA.handle)
- return 0)
- .on("mouseover.paneltip", indtip.show)
- .on("mouseout.paneltip", indtip.hide)
-
- # box
- g.append("rect")
- .attr("x", margin.left+paneloffset)
- .attr("y", margin.top)
- .attr("height", panelheight)
- .attr("width", panelwidth)
- .attr("fill", "none")
- .attr("stroke", "black")
- .attr("stroke-width", "none")
- if xNA.handle
- g.append("rect")
- .attr("x", margin.left)
- .attr("y", margin.top)
- .attr("height", panelheight)
- .attr("width", xNA.width)
- .attr("fill", "none")
- .attr("stroke", "black")
- .attr("stroke-width", "none")
- if xNA.handle and yNA.handle
- g.append("rect")
- .attr("x", margin.left)
- .attr("y", margin.top+height - yNA.width)
- .attr("height", yNA.width)
- .attr("width", xNA.width)
- .attr("fill", "none")
- .attr("stroke", "black")
- .attr("stroke-width", "none")
- if yNA.handle
- g.append("rect")
- .attr("x", margin.left+paneloffset)
- .attr("y", margin.top+height-yNA.width)
- .attr("height", yNA.width)
- .attr("width", panelwidth)
- .attr("fill", "none")
- .attr("stroke", "black")
- .attr("stroke-width", "none")
-
- ## configuration parameters
- chart.width = (value) ->
- return width if !arguments.length
- width = value
- chart
-
- chart.height = (value) ->
- return height if !arguments.length
- height = value
- chart
-
- chart.margin = (value) ->
- return margin if !arguments.length
- margin = value
- chart
-
- chart.axispos = (value) ->
- return axispos if !arguments.length
- axispos = value
- chart
-
- chart.titlepos = (value) ->
- return titlepos if !arguments.length
- titlepos
- chart
-
- chart.xlim = (value) ->
- return xlim if !arguments.length
- xlim = value
- chart
-
- chart.nxticks = (value) ->
- return nxticks if !arguments.length
- nxticks = value
- chart
-
- chart.xticks = (value) ->
- return xticks if !arguments.length
- xticks = value
- chart
-
- chart.ylim = (value) ->
- return ylim if !arguments.length
- ylim = value
- chart
-
- chart.nyticks = (value) ->
- return nyticks if !arguments.length
- nyticks = value
- chart
-
- chart.yticks = (value) ->
- return yticks if !arguments.length
- yticks = value
- chart
-
- chart.rectcolor = (value) ->
- return rectcolor if !arguments.length
- rectcolor = value
- chart
-
- chart.pointcolor = (value) ->
- return pointcolor if !arguments.length
- pointcolor = value
- chart
-
- chart.pointsize = (value) ->
- return pointsize if !arguments.length
- pointsize = value
- chart
-
- chart.pointstroke = (value) ->
- return pointstroke if !arguments.length
- pointstroke = value
- chart
-
- chart.dataByInd = (value) ->
- return dataByInd if !arguments.length
- dataByInd = value
- chart
-
- chart.title = (value) ->
- return title if !arguments.length
- title = value
- chart
-
- chart.xlab = (value) ->
- return xlab if !arguments.length
- xlab = value
- chart
-
- chart.ylab = (value) ->
- return ylab if !arguments.length
- ylab = value
- chart
-
- chart.rotate_ylab = (value) ->
- return rotate_ylab if !arguments.length
- rotate_ylab = value
- chart
-
- chart.xvar = (value) ->
- return xvar if !arguments.length
- xvar = value
- chart
-
- chart.yvar = (value) ->
- return yvar if !arguments.length
- yvar = value
- chart
-
- chart.xNA = (value) ->
- return xNA if !arguments.length
- xNA = value
- chart
-
- chart.yNA = (value) ->
- return yNA if !arguments.length
- yNA = value
- chart
-
- chart.yscale = () ->
- return yscale
-
- chart.xscale = () ->
- return xscale
-
- chart.pointsSelect = () ->
- return pointsSelect
-
- # return the chart function
- chart
-
-root.scatterplot = scatterplot
diff --git a/wqflask/wqflask/static/new/javascript/search_results.coffee b/wqflask/wqflask/static/new/javascript/search_results.coffee deleted file mode 100644 index e0cfc61a..00000000 --- a/wqflask/wqflask/static/new/javascript/search_results.coffee +++ /dev/null @@ -1,86 +0,0 @@ -$ -> - # These are also used by collections view - # So the name search_results in the filename is misleading - - checked_traits = null - - select_all = -> - console.log("selected_all") - $(".trait_checkbox").prop('checked', true) - - deselect_all = -> - $(".trait_checkbox").prop('checked', false) - - invert = -> - $(".trait_checkbox").trigger('click') - - add = -> - traits = $("#trait_table input:checked").map(-> return $(this).val()).get() - console.log("checked length is:", traits.length) - console.log("checked is:", traits) - $.colorbox({href:"/collections/add?traits=#{traits}"}) - - removed_traits = -> - # After we've removed the traits from the database we get rid of them in the table - console.log('in removed_traits with checked_traits:', checked_traits) - checked_traits.closest("tr").fadeOut() - - - change_buttons = -> - buttons = ["#add", "#remove"] - num_checked = $('.trait_checkbox:checked').length - console.log("num_checked is:", num_checked) - if (num_checked == 0) - for button in buttons - $(button).prop("disabled", true) - else - for button in buttons - $(button).prop("disabled", false) - - - if (num_checked > 1) - console.log("in loop") - for item in buttons - console.log(" processing item:", item) - text = $(item).html() - #if text.indexOf("Records") == -1 - # text = text.replace("Record", "Records") - # $(item).html(text) - else - console.log("in loop") - for item in buttons - console.log(" processing item:", item) - text = $(item).html() - #text = text.replace("Records", "Record") - #$(item).html(text) - - - # remove is only used by collections view - remove = -> - checked_traits = $("#trait_table input:checked") - traits = checked_traits.map(-> - return $(this).val()).get() - console.log("checked length is:", traits.length) - console.log("checked is:", traits) - uc_id = $("#uc_id").val() - console.log("uc.id is:", uc_id) - # Todo: Consider adding a failure message - $.ajax( - type: "POST" - url: "/collections/remove" - data: - uc_id: uc_id - traits: traits - success: removed_traits - ) - - - - $("#select_all").click(select_all) - $("#deselect_all").click(deselect_all) - $("#invert").click(invert) - $("#add").click(add) - $("#remove").click(remove) - - $('.trait_checkbox').click(change_buttons) - $('.btn').click(change_buttons) diff --git a/wqflask/wqflask/static/new/javascript/search_results.js b/wqflask/wqflask/static/new/javascript/search_results.js index 2b878087..8fa698b4 100644 --- a/wqflask/wqflask/static/new/javascript/search_results.js +++ b/wqflask/wqflask/static/new/javascript/search_results.js @@ -40,6 +40,11 @@ $(function() { }; $('#searchbox').keyup(function(){ + if ($(this).val() != ""){ + $('#filter_term').val($(this).val()); + } else { + $('#filter_term').val("None"); + } $('#trait_table').DataTable().search($(this).val()).draw(); }); @@ -93,12 +98,24 @@ $(function() { traits = $("#trait_table input:checked").map(function() { return $(this).val(); }).get(); - console.log("checked length is:", traits.length); - console.log("checked is:", traits); + + var traits_hash = md5(traits.toString()); + + $.ajax({ + type: "POST", + url: "/collections/store_trait_list", + data: { + hash: traits_hash, + traits: traits.toString() + } + }); + return $.colorbox({ - href: "/collections/add?traits=" + traits + href: "/collections/add?hash=" + traits_hash }); + }; + removed_traits = function() { console.log('in removed_traits with checked_traits:', checked_traits); return checked_traits.closest("tr").fadeOut(); @@ -198,7 +215,6 @@ $(function() { } }); table_dict['rows'] = rows; - console.log("TABLEDICT:", table_dict); json_table_dict = JSON.stringify(table_dict); $('input[name=export_data]').val(json_table_dict); @@ -211,6 +227,71 @@ $(function() { $('#export_form').submit(); }; + $("#corr_matrix").on("click", function() { + traits = $("#trait_table input:checked").map(function() { + return $(this).val(); + }).get(); + $("#trait_list").val(traits) + $("input[name=tool_used]").val("Correlation Matrix") + $("input[name=form_url]").val($(this).data("url")) + return submit_special("/loading") + }); + $("#network_graph").on("click", function() { + traits = $("#trait_table input:checked").map(function() { + return $(this).val(); + }).get(); + $("#trait_list").val(traits) + $("input[name=tool_used]").val("Network Graph") + $("input[name=form_url]").val($(this).data("url")) + return submit_special("/loading") + }); + $("#wgcna_setup").on("click", function() { + traits = $("#trait_table input:checked").map(function() { + return $(this).val(); + }).get(); + $("#trait_list").val(traits) + $("input[name=tool_used]").val("WGCNA Setup") + $("input[name=form_url]").val($(this).data("url")) + return submit_special("/loading") + }); + $("#ctl_setup").on("click", function() { + traits = $("#trait_table input:checked").map(function() { + return $(this).val(); + }).get(); + $("#trait_list").val(traits) + $("input[name=tool_used]").val("CTL Setup") + $("input[name=form_url]").val($(this).data("url")) + return submit_special("/loading") + }); + $("#heatmap").on("click", function() { + traits = $("#trait_table input:checked").map(function() { + return $(this).val(); + }).get(); + $("#trait_list").val(traits) + $("input[name=tool_used]").val("Heatmap") + $("input[name=form_url]").val($(this).data("url")) + return submit_special("/loading") + }); + $("#comp_bar_chart").on("click", function() { + traits = $("#trait_table input:checked").map(function() { + return $(this).val(); + }).get(); + $("#trait_list").val(traits) + $("input[name=tool_used]").val("Comparison Bar Chart") + $("input[name=form_url]").val($(this).data("url")) + return submit_special("/loading") + }); + + $("#send_to_webgestalt, #send_to_bnw, #send_to_geneweaver").on("click", function() { + traits = $("#trait_table input:checked").map(function() { + return $(this).val(); + }).get(); + $("#trait_list").val(traits) + url = $(this).data("url") + return submit_special(url) + }); + + $("#select_all").click(select_all); $("#deselect_all").click(deselect_all); $("#invert").click(invert); diff --git a/wqflask/wqflask/static/new/javascript/show_trait.coffee b/wqflask/wqflask/static/new/javascript/show_trait.coffee deleted file mode 100644 index 91aa15ba..00000000 --- a/wqflask/wqflask/static/new/javascript/show_trait.coffee +++ /dev/null @@ -1,476 +0,0 @@ -console.log("start_b") - -#root = exports ? this - -# this is our isNumber, do not confuse with the underscore.js one -is_number = (o) -> - return ! isNaN (o-0) && o != null - -Stat_Table_Rows = [ - { - vn: "n_of_samples" - pretty: "N of Samples" - digits: 0 - }, - { - vn: "mean" - pretty: "Mean" - digits: 2 - }, - { - vn: "median" - pretty: "Median" - digits: 2 - }, - { - vn: "std_error" - pretty: "Standard Error (SE)" - digits: 2 - }, - { - vn: "std_dev" - pretty: "Standard Deviation (SD)" - digits: 2 - }, - { - vn: "min" - pretty: "Minimum" - digits: 2 - }, - { - vn: "max" - pretty: "Maximum" - digits: 2 - }, - { - vn: "range" - pretty: "Range (log2)" - digits: 2 - }, - { - vn: "range_fold" - pretty: "Range (fold)" - digits: 2 - }, - { - vn: "interquartile" - pretty: "Interquartile Range" - url: "/glossary.html#Interquartile" - digits: 2 - } - ] - -$ -> - - add = -> - trait = $("input[name=trait_hmac]").val() - console.log("trait is:", trait) - $.colorbox({href:"/collections/add?traits=#{trait}"}) - - $('#add_to_collection').click(add) - - sample_lists = js_data.sample_lists - sample_group_types = js_data.sample_group_types - - d3.select("#select_compare_trait").on("click", => - $('.scatter-matrix-container').remove() - open_trait_selection() - ) - - d3.select("#clear_compare_trait").on("click", => - $('.scatter-matrix-container').remove() - ) - - open_trait_selection = () -> - $('#collections_holder').load('/collections/list?color_by_trait #collections_list', => - $.colorbox( - inline: true - href: "#collections_holder" - ) - #Removes the links from the collection names, because clicking them would leave the page - #instead of loading the list of traits in the colorbox - $('a.collection_name').attr( 'onClick', 'return false' ) - ) - - hide_tabs = (start) -> - for x in [start..10] - $("#stats_tabs" + x).hide() - - - # Changes stats table between all, bxd only and non-bxd, etc. - stats_mdp_change = -> - selected = $(this).val() - hide_tabs(0) - $("#stats_tabs" + selected).show() - - - change_stats_value = (sample_sets, category, value_type, decimal_places, effects) -> - id = "#" + process_id(category, value_type) - console.log("the_id:", id) - in_box = $(id).html - - current_value = parseFloat($(in_box)).toFixed(decimal_places) - - the_value = sample_sets[category][value_type]() - console.log("After running sample_sets, the_value is:", the_value) - if decimal_places > 0 - title_value = the_value.toFixed(decimal_places * 2) - the_value = the_value.toFixed(decimal_places) - else - title_value = null - - console.log("*-* the_value:", the_value) - console.log("*-* current_value:", current_value) - if the_value != current_value - console.log("object:", $(id).html(the_value)) - if effects - $(id).html(the_value).effect("highlight") - else - $(id).html(the_value) - - # We go ahead and always change the title value if we have it - if title_value - $(id).attr('title', title_value) - - - update_stat_values = (sample_sets)-> - show_effects = $(".tab-pane.active").attr("id") == "stats_tab" - for category in ['samples_primary', 'samples_other', 'samples_all'] - for row in Stat_Table_Rows - console.log("Calling change_stats_value") - change_stats_value(sample_sets, category, row.vn, row.digits, show_effects) - - redraw_histogram = -> - root.histogram.redraw((x.value for x in _.values(root.selected_samples[root.histogram_group]))) - - redraw_bar_chart = -> - root.bar_chart.redraw(root.selected_samples, root.bar_chart_group) - - redraw_prob_plot = -> - root.redraw_prob_plot_impl(root.selected_samples, root.prob_plot_group) - - make_table = -> - header = "<thead><tr><th> </th>" - console.log("js_data.sample_group_types:", js_data.sample_group_types) - for own key, value of js_data.sample_group_types - console.log("aa key:", key) - console.log("aa value:", value) - the_id = process_id("column", key) - header += """<th id="#{ the_id }">#{ value }</th>""" - header += "</thead>" - console.log("windex header is:", header) - - #console.log("rows are:", rows) - the_rows = "<tbody>" - #console.log("length of rows:", rows.length) - for row in Stat_Table_Rows - console.log("rowing") - row_line = """<tr>""" - if row.url? - row_line += """<td id="#{ row.vn }"><a href="#{row.url }">#{ row.pretty }</a></td>""" - else - row_line += """<td id="#{ row.vn }">#{ row.pretty }</td>""" - console.log("box - js_data.sample_group_types:", js_data.sample_group_types) - for own key, value of js_data.sample_group_types - console.log("apple key:", key) - the_id = process_id(key, row.vn) - console.log("the_id:", the_id) - row_line += """<td id="#{ the_id }">foo</td>""" - row_line += """</tr>""" - console.log("row line:", row_line) - the_rows += row_line - the_rows += "</tbody>" - table = header + the_rows - console.log("table is:", table) - $("#stats_table").append(table) - - - process_id = (values...) -> - ### Make an id or a class valid javascript by, for example, eliminating spaces ### - processed = "" - for value in values - console.log("value:", value) - value = value.replace(" ", "_") - if processed.length - processed += "-" - processed += value - return processed - - edit_data_change = -> - already_seen = {} - sample_sets = - samples_primary: new Stats([]) - samples_other: new Stats([]) - samples_all: new Stats([]) - - root.selected_samples = # maps: sample name -> value - samples_primary: {} - samples_other: {} - samples_all: {} - - console.log("at beginning:", sample_sets) - - tables = ['samples_primary', 'samples_other'] - for table in tables - rows = $("#" + table).find('tr') - for row in rows - name = $(row).find('.edit_sample_sample_name').html() - name = $.trim(name) - real_value = $(row).find('.edit_sample_value').val() - #console.log("real_value:", real_value) - - checkbox = $(row).find(".edit_sample_checkbox") - checked = $(checkbox).prop('checked') - - if checked and is_number(real_value) and real_value != "" - #console.log("in the iffy if") - real_value = parseFloat(real_value) - - sample_sets[table].add_value(real_value) - - real_variance = $(row).find('.edit_sample_se').val() - if (is_number(real_variance)) - real_variance = parseFloat(real_variance) - else - real_variance = null - real_dict = {value: real_value, variance: real_variance} - root.selected_samples[table][name] = real_dict - - #console.log("checking name of:", name) - if not (name of already_seen) - #console.log("haven't seen") - sample_sets['samples_all'].add_value(real_value) - root.selected_samples['samples_all'][name] = real_dict - already_seen[name] = true - console.log("towards end:", sample_sets) - update_stat_values(sample_sets) - - console.log("redrawing histogram") - redraw_histogram() - - console.log("redrawing bar chart") - redraw_bar_chart() - - console.log("redrawing probability plot") - redraw_prob_plot() - - show_hide_outliers = -> - console.log("FOOBAR in beginning of show_hide_outliers") - label = $('#show_hide_outliers').val() - console.log("lable is:", label) - if label == "Hide Outliers" - $('#show_hide_outliers').val("Show Outliers") - else if label == "Show Outliers" - console.log("Found Show Outliers") - $('#show_hide_outliers').val("Hide Outliers") - console.log("Should be now Hide Outliers") - - ##Calculate Correlations Code - - on_corr_method_change = -> - console.log("in beginning of on_corr_method_change") - corr_method = $('select[name=corr_method]').val() - console.log("corr_method is:", corr_method) - $('.correlation_desc').hide() - $('#' + corr_method + "_r_desc").show().effect("highlight") - if corr_method == "lit" - $("#corr_sample_method_options").hide() - else - $("#corr_sample_method_options").show() - - $('select[name=corr_method]').change(on_corr_method_change) - - ##End Calculate Correlations Code - - ##Populate Samples Attribute Values Code - - create_value_dropdown = (value) -> - return """<option val=#{value}>#{value}</option>""" - - populate_sample_attributes_values_dropdown = -> - console.log("in beginning of psavd") - $('#attribute_values').empty() - sample_attributes = {} - for own key, attribute_info of js_data.attribute_names - sample_attributes[attribute_info.name] = attribute_info.distinct_values - console.log("[visa] attributes is:", sample_attributes) - selected_attribute = $('#exclude_menu').val().replace("_", " ") - console.log("selected_attribute is:", selected_attribute) - for value in sample_attributes[selected_attribute] - $(create_value_dropdown(value)) - .appendTo($('#attribute_values')) - - # Must run once at beginning - if js_data.attribute_names.length > 0 - populate_sample_attributes_values_dropdown() - $('#exclude_menu').change(populate_sample_attributes_values_dropdown) - - ##End Populate Samples Attribute Values Codess - - ##Block Samples By Attribute Value Code - block_by_attribute_value = -> - attribute_name = $('#exclude_menu').val() - exclude_by_value = $('#attribute_values').val() - - cell_class = ".column_name-#{attribute_name}" - $(cell_class).each (index, element) => - if $.trim($(element).text()) == exclude_by_value - row = $(element).parent('tr') - $(row).find(".trait_value_input").val("x") - - $('#exclude_group').click(block_by_attribute_value) - - ##End Block Samples By Attribute Value Code - - ##Block Samples By Index Code - - block_by_index = -> - index_string = $('#remove_samples_field').val() - index_list = [] - for index_set in index_string.split(",") - if index_set.indexOf('-') != -1 - try - start_index = parseInt(index_set.split("-")[0]) - end_index = parseInt(index_set.split("-")[1]) - index_list.push(index) for index in [start_index..end_index] - catch error - alert("Syntax error") - else - #try - index = parseInt(index_set) - console.log("index:", index) - index_list.push(index) - #catch(erro) - # alert("Syntax error") - console.log("index_list:", index_list) - for index in index_list - if $('#block_group').val() == "primary" - console.log("block_group:", $('#block_group').val()) - console.log("row:", $('#Primary_'+index.toString())) - $('#Primary_'+index.toString()).find('.trait_value_input').val("x") - else if $('#block_group').val() == "other" - console.log("block_group:", $('#block_group').val()) - console.log("row:", $('#Other_'+index.toString())) - $('#Other_'+index.toString()).find('.trait_value_input').val("x") - - $('#block_by_index').click(block_by_index) - - ##End Block Samples By Index Code - - ##Hide Sample Rows With No Value (value of 'x') Code - - hide_no_value = -> - $('.value_se').each (_index, element) => - if $(element).find('.trait_value_input').val() == 'x' - $(element).hide() - - $('#hide_no_value').click(hide_no_value) - - ##End Hide Sample Rows With No Value Code - - ##Block Outliers Code - block_outliers = -> - $('.outlier').each (_index, element) => - $(element).find('.trait_value_input').val('x') - - $('#block_outliers').click(block_outliers) - - ##End Block Outliers Code - - ##Reset Table Values Code - reset_samples_table = -> - $('.trait_value_input').each (_index, element) => - console.log("value is:", $(element).val()) - $(element).val($(element).data('value')) - console.log("data-value is:", $(element).data('value')) - $(element).parents('.value_se').show() - - $('#reset').click(reset_samples_table) - - ##End Reset Table Values Code - - ##Get Sample Data From Table Code - - get_sample_table_data = (table_name) -> - samples = [] - $('#' + table_name).find('.value_se').each (_index, element) => - row_data = {} - row_data.name = $.trim($(element).find('.column_name-Sample').text()) - row_data.value = $(element).find('.edit_sample_value').val() - if $(element).find('.edit_sample_se').length != -1 - row_data.se = $(element).find('.edit_sample_se').val() - for own key, attribute_info of js_data.attribute_names - row_data[attribute_info.name] = $.trim($(element).find( - '.column_name-'+attribute_info.name.replace(" ", "_")).text()) - console.log("row_data is:", row_data) - samples.push(row_data) - return samples - - ##End Get Sample Data from Table Code - - ##Export Sample Table Data Code - - export_sample_table_data = -> - sample_data = {} - sample_data.primary_samples = get_sample_table_data('samples_primary') - sample_data.other_samples = get_sample_table_data('samples_other') - console.log("sample_data is:", sample_data) - json_sample_data = JSON.stringify(sample_data) - console.log("json_sample_data is:", json_sample_data) - - $('input[name=export_data]').val(json_sample_data) - console.log("export_data is", $('input[name=export_data]').val()) - - format = $('#export_format').val() - if format == "excel" - $('#trait_data_form').attr('action', '/export_trait_excel') - else - $('#trait_data_form').attr('action', '/export_trait_csv') - console.log("action is:", $('#trait_data_form').attr('action')) - - $('#trait_data_form').submit() - - $('#export').click(export_sample_table_data) - - ##End Export Sample Table Data Code - - - console.log("before registering block_outliers") - $('#block_outliers').click(block_outliers) - console.log("after registering block_outliers") - - _.mixin(_.str.exports()); # Add string fuctions directly to underscore - - root.histogram_group = 'samples_primary' - root.histogram = new Histogram(sample_lists[0]) - $('.histogram_samples_group').val(root.histogram_group) - $('.histogram_samples_group').change -> - root.histogram_group = $(this).val() - redraw_histogram() - - root.bar_chart_group = 'samples_primary' - root.bar_chart = new Bar_Chart(sample_lists) - $('.bar_chart_samples_group').val(root.bar_chart_group) - $('.bar_chart_samples_group').change -> - root.bar_chart_group = $(this).val() - redraw_bar_chart() - - root.prob_plot_group = 'samples_primary' - $('.prob_plot_samples_group').val(root.prob_plot_group) - $('.prob_plot_samples_group').change -> - root.prob_plot_group = $(this).val() - redraw_prob_plot() - - make_table() - edit_data_change() # Set the values at the beginning - - $('#edit_sample_lists').change(edit_data_change) - - # bind additional handlers for pushing data updates - $('#block_by_index').click(edit_data_change) - $('#exclude_group').click(edit_data_change) - $('#block_outliers').click(edit_data_change) - $('#reset').click(edit_data_change) - - #$("#all-mean").html('foobar8') - console.log("end") diff --git a/wqflask/wqflask/static/new/javascript/show_trait.js b/wqflask/wqflask/static/new/javascript/show_trait.js index e9dd3c9d..d94a2347 100644 --- a/wqflask/wqflask/static/new/javascript/show_trait.js +++ b/wqflask/wqflask/static/new/javascript/show_trait.js @@ -1,967 +1,1437 @@ -// Generated by CoffeeScript 1.8.0 -(function() { - var Stat_Table_Rows, is_number, - __hasProp = {}.hasOwnProperty, - __slice = [].slice; +var Stat_Table_Rows, is_number, + __hasProp = {}.hasOwnProperty, + __slice = [].slice; - console.log("start_b"); +is_number = function(o) { + return !isNaN((o - 0) && o !== null); +}; - is_number = function(o) { - return !isNaN((o - 0) && o !== null); - }; +Stat_Table_Rows = [ + { + vn: "n_of_samples", + pretty: "N of Samples", + digits: 0 + }, { + vn: "mean", + pretty: "Mean", + digits: 3 + }, { + vn: "median", + pretty: "Median", + digits: 3 + }, { + vn: "std_error", + pretty: "Standard Error (SE)", + digits: 3 + }, { + vn: "std_dev", + pretty: "Standard Deviation (SD)", + digits: 3 + }, { + vn: "min", + pretty: "Minimum", + digits: 3 + }, { + vn: "max", + pretty: "Maximum", + digits: 3 + } +] + +if (js_data.dataset_type == "ProbeSet"){ + if (js_data.data_scale == "linear_positive" || js_data.data_scale == "log2") { + Stat_Table_Rows.push({ + vn: "range", + pretty: "Range (log2)", + digits: 3 + }) + } else { + Stat_Table_Rows.push({ + vn: "range", + pretty: "Range", + digits: 3 + }) + } +} else { + Stat_Table_Rows.push({ + vn: "range", + pretty: "Range", + digits: 3 + }) +} + +Stat_Table_Rows.push( + { + vn: "range_fold", + pretty: "Range (fold)", + digits: 3 + }, { + vn: "interquartile", + pretty: "<font color='black'>Interquartile Range</font>", + url: "http://www.genenetwork.org/glossary.html#Interquartile", + digits: 3 + }, { + vn: "skewness", + pretty: "Skewness", + url: "https://en.wikipedia.org/wiki/Skewness", + digits: 3 + }, { + vn: "kurtosis", + pretty: "Excess Kurtosis", + url: "https://en.wikipedia.org/wiki/Kurtosis", + digits: 3 + } +); - Stat_Table_Rows = [ - { - vn: "n_of_samples", - pretty: "N of Samples", - digits: 0 - }, { - vn: "mean", - pretty: "Mean", - digits: 3 - }, { - vn: "median", - pretty: "Median", - digits: 3 - }, { - vn: "std_error", - pretty: "Standard Error (SE)", - digits: 3 - }, { - vn: "std_dev", - pretty: "Standard Deviation (SD)", - digits: 3 - }, { - vn: "min", - pretty: "Minimum", - digits: 2 - }, { - vn: "max", - pretty: "Maximum", - digits: 2 - }, { - vn: "range", - pretty: "Range (log2)", - digits: 3 - }, { - vn: "range_fold", - pretty: "Range (fold)", - digits: 3 - }, { - vn: "interquartile", - pretty: "Interquartile Range", - url: "http://www.genenetwork.org/glossary.html#Interquartile", - digits: 3 - }, { - vn: "skewness", - pretty: "Skewness", - digits: 3 - }, { - vn: "kurtosis", - pretty: "Kurtosis", - digits: 3 - } - ]; - - $(function() { - var add, block_by_attribute_value, block_by_index, block_outliers, change_stats_value, create_value_dropdown, edit_data_change, export_sample_table_data, get_sample_table_data, hide_no_value, hide_tabs, make_table, on_corr_method_change, open_trait_selection, populate_sample_attributes_values_dropdown, process_id, redraw_bar_chart, redraw_histogram, redraw_prob_plot, reset_samples_table, sample_group_types, sample_lists, show_hide_outliers, stats_mdp_change, update_stat_values; - add = function() { - var trait; - trait = $("input[name=trait_hmac]").val(); - console.log("trait is:", trait); - return $.colorbox({ - href: "/collections/add?traits=" + trait +var add, block_by_attribute_value, block_by_index, block_outliers, change_stats_value, create_value_dropdown, edit_data_change, export_sample_table_data, get_sample_table_data, hide_no_value, hide_tabs, make_table, on_corr_method_change, open_trait_selection, populate_sample_attributes_values_dropdown, process_id, update_bar_chart, update_histogram, update_prob_plot, reset_samples_table, sample_group_types, sample_lists, show_hide_outliers, stats_mdp_change, update_stat_values; +add = function() { + var trait; + trait = $("input[name=trait_hmac]").val(); + return $.colorbox({ + href: "/collections/add?traits=" + trait + }); +}; +$('#add_to_collection').click(add); +sample_lists = js_data.sample_lists; +sample_group_types = js_data.sample_group_types; +d3.select("#select_compare_trait").on("click", (function(_this) { + return function() { + $('.scatter-matrix-container').remove(); + return open_trait_selection(); + }; +})(this)); +d3.select("#select_covariates").on("click", (function(_this) { + return function() { + return open_covariate_selection(); + }; +})(this)); +$("#remove_covariates").click(function () { + $("input[name=covariates]").val("") + $(".selected_covariates").val("") +}); +$(".select_covariates").click(function () { + open_covariate_selection(); +}); +$(".remove_covariates").click(function () { + $("input[name=covariates]").val("") + $(".selected_covariates").val("") +}); +d3.select("#clear_compare_trait").on("click", (function(_this) { + return function() { + return $('.scatter-matrix-container').remove(); + }; +})(this)); +open_trait_selection = function() { + return $('#collections_holder').load('/collections/list?color_by_trait #collections_list', (function(_this) { + return function() { + $.colorbox({ + inline: true, + href: "#collections_holder", + onComplete: function(){ + $.getScript("/static/new/javascript/get_traits_from_collection.js"); + } }); + return $('a.collection_name').attr('onClick', 'return false'); }; - $('#add_to_collection').click(add); - sample_lists = js_data.sample_lists; - sample_group_types = js_data.sample_group_types; - d3.select("#select_compare_trait").on("click", (function(_this) { - return function() { - $('.scatter-matrix-container').remove(); - return open_trait_selection(); - }; - })(this)); - d3.select("#select_covariates").on("click", (function(_this) { - return function() { - return open_covariate_selection(); - }; - })(this)); - $("#remove_covariates").click(function () { - $("input[name=covariates]").val("") - $(".selected_covariates").val("") - }); - d3.select("#clear_compare_trait").on("click", (function(_this) { - return function() { - return $('.scatter-matrix-container').remove(); - }; - })(this)); - open_trait_selection = function() { - return $('#collections_holder').load('/collections/list?color_by_trait #collections_list', (function(_this) { - return function() { - $.colorbox({ - inline: true, - href: "#collections_holder", - onComplete: function(){ - console.log("before get script") - $.getScript("/static/new/javascript/get_traits_from_collection.js"); - console.log("after get script") - } - }); - return $('a.collection_name').attr('onClick', 'return false'); - }; - })(this)); - }; - open_covariate_selection = function() { - return $('#collections_holder').load('/collections/list #collections_list', (function(_this) { - return function() { - $.colorbox({ - inline: true, - href: "#collections_holder", - onComplete: function(){ - console.log("before get cov script") - $.getScript("/static/new/javascript/get_covariates_from_collection.js"); - console.log("after get cov script") - } - }); - return $('a.collection_name').attr('onClick', 'return false'); - }; - })(this)); - }; - hide_tabs = function(start) { - var x, _i, _results; - _results = []; - for (x = _i = start; start <= 10 ? _i <= 10 : _i >= 10; x = start <= 10 ? ++_i : --_i) { - _results.push($("#stats_tabs" + x).hide()); - } - return _results; - }; - stats_mdp_change = function() { - var selected; - selected = $(this).val(); - hide_tabs(0); - return $("#stats_tabs" + selected).show(); - }; - change_stats_value = function(sample_sets, category, value_type, decimal_places, effects) { - var current_value, id, in_box, the_value, title_value; - id = "#" + process_id(category, value_type); - console.log("the_id:", id); - in_box = $(id).html; - current_value = parseFloat($(in_box)).toFixed(decimal_places); - the_value = sample_sets[category][value_type](); - console.log("After running sample_sets, the_value is:", the_value); - if (decimal_places > 0) { - title_value = the_value.toFixed(decimal_places * 2); - the_value = the_value.toFixed(decimal_places); - } else { - title_value = null; - } - console.log("*-* the_value:", the_value); - console.log("*-* current_value:", current_value); - if (the_value !== current_value) { - console.log("object:", $(id).html(the_value)); - if (effects) { - $(id).html(the_value).effect("highlight"); - } else { - $(id).html(the_value); + })(this)); +}; +open_covariate_selection = function() { + return $('#collections_holder').load('/collections/list #collections_list', (function(_this) { + return function() { + $.colorbox({ + inline: true, + href: "#collections_holder", + width: "1000px", + height: "700px", + onComplete: function(){ + $.getScript("/static/new/javascript/get_covariates_from_collection.js"); } - } - if (title_value) { - return $(id).attr('title', title_value); - } + }); + return $('a.collection_name').attr('onClick', 'return false'); }; - update_stat_values = function(sample_sets) { - var category, row, show_effects, _i, _len, _ref, _results; - show_effects = $(".tab-pane.active").attr("id") === "stats_tab"; - _ref = ['samples_primary', 'samples_other', 'samples_all']; - _results = []; - for (_i = 0, _len = _ref.length; _i < _len; _i++) { - category = _ref[_i]; - _results.push((function() { - var _j, _len1, _results1; - _results1 = []; - for (_j = 0, _len1 = Stat_Table_Rows.length; _j < _len1; _j++) { - row = Stat_Table_Rows[_j]; - console.log("Calling change_stats_value"); - _results1.push(change_stats_value(sample_sets, category, row.vn, row.digits, show_effects)); - } - return _results1; - })()); + })(this)); +}; +hide_tabs = function(start) { + var x, _i, _results; + _results = []; + for (x = _i = start; start <= 10 ? _i <= 10 : _i >= 10; x = start <= 10 ? ++_i : --_i) { + _results.push($("#stats_tabs" + x).hide()); + } + return _results; +}; +stats_mdp_change = function() { + var selected; + selected = $(this).val(); + hide_tabs(0); + return $("#stats_tabs" + selected).show(); +}; +change_stats_value = function(sample_sets, category, value_type, decimal_places, effects) { + var current_value, id, in_box, the_value, title_value; + id = "#" + process_id(category, value_type); + in_box = $(id).html; + current_value = parseFloat($(in_box)).toFixed(decimal_places); + the_value = sample_sets[category][value_type](); + if (decimal_places > 0) { + title_value = the_value.toFixed(decimal_places * 2); + the_value = the_value.toFixed(decimal_places); + } else { + title_value = null; + } + if (the_value !== current_value) { + if (effects) { + $(id).html(the_value).effect("highlight"); + } else { + $(id).html(the_value); + } + } + if (title_value) { + return $(id).attr('title', title_value); + } +}; +update_stat_values = function(sample_sets) { + var category, row, show_effects, _i, _len, _ref, _results; + show_effects = $(".tab-pane.active").attr("id") === "stats_tab"; + _ref = ['samples_primary', 'samples_other', 'samples_all']; + _results = []; + for (_i = 0, _len = _ref.length; _i < _len; _i++) { + category = _ref[_i]; + _results.push((function() { + var _j, _len1, _results1; + _results1 = []; + for (_j = 0, _len1 = Stat_Table_Rows.length; _j < _len1; _j++) { + row = Stat_Table_Rows[_j]; + _results1.push(change_stats_value(sample_sets, category, row.vn, row.digits, show_effects)); } - return _results; - }; + return _results1; + })()); + } + return _results; +}; + +update_histogram_width = function() { + num_bins = $('#histogram').find('g.trace.bars').find('g.point').length + + if (num_bins < 10) { + width_update = { + width: 400 + } + + Plotly.relayout('histogram', width_update) + } +} + +update_histogram = function() { + var x; + var _i, _len, _ref, data; + _ref = _.values(root.selected_samples[root.stats_group]); + var trait_vals = []; + for (_i = 0, _len = _ref.length; _i < _len; _i++) { + x = _ref[_i]; + trait_vals.push(x.value); + } + root.histogram_data[0]['x'] = trait_vals - redraw_histogram = function() { - var x; - var _i, _len, _ref, data; - _ref = _.values(root.selected_samples[root.stats_group]); + if ($('input[name="transform"]').val() != ""){ + root.histogram_layout['xaxis']['title'] = "<b>" + js_data.unit_type + " (" + $('input[name="transform"]').val() + ")</b>" + } + + Plotly.newPlot('histogram', root.histogram_data, root.histogram_layout, root.modebar_options); + update_histogram_width() +}; + +update_bar_chart = function() { + var x; + var _i, _len, _ref, data; + _ref = _.values(root.selected_samples[root.stats_group]); + names_and_values = [] + for (i = 0; i < _ref.length; i++){ + _ref[i]["name"] = Object.keys(root.selected_samples[root.stats_group])[i] + } + trait_vals = []; + trait_vars = []; + trait_samples = []; + + function sortFunction(a, b) { + if (a.value === b.value) { + return 0; + } + else { + return (a.value < b.value) ? -1 : 1; + } + } + + if (root.bar_sort == "value") { + _ref.sort(sortFunction) + } + + for (_i = 0, _len = _ref.length; _i < _len; _i++) { + x = _ref[_i]; + trait_samples.push(x.name) + trait_vals.push(x.value); + if (x["variance"] != undefined) { + trait_vars.push(x.variance); + } else{ + trait_vars.push(null) + } + } + + new_chart_range = get_bar_range(trait_vals, trait_vars) + + root.bar_layout['yaxis']['range'] = new_chart_range + + if ($('input[name="transform"]').val() != ""){ + root.bar_layout['yaxis']['title'] = "<b>" + js_data.unit_type + " (" + $('input[name="transform"]').val() + ")</b>" + } + + root.bar_data[0]['y'] = trait_vals + root.bar_data[0]['error_y'] = { + type: 'data', + array: trait_vars, + visible: root.errors_exist + } + root.bar_data[0]['x'] = trait_samples + + if (trait_vals.length < 256) { + Plotly.newPlot('bar_chart', root.bar_data, root.bar_layout, root.modebar_options); + } +}; + +update_box_plot = function() { + var y_value_list = [] + if (sample_lists.length > 1) { + i = 0; + for (var sample_group in root.selected_samples){ + var trait_sample_data = _.values(root.selected_samples[sample_group]) var trait_vals = []; - for (_i = 0, _len = _ref.length; _i < _len; _i++) { - x = _ref[_i]; - trait_vals.push(x.value); + for (j = 0, len = trait_sample_data.length; j < len; j++) { + this_sample_data = trait_sample_data[j]; + trait_vals.push(this_sample_data.value); } - Plotly.restyle('histogram', 'x', [trait_vals]) - }; + root.box_data[i]['y'] = trait_vals + i++; + } + } else { + var trait_sample_data = _.values(root.selected_samples['samples_all']) + var trait_vals = []; + for (j = 0, len = trait_sample_data.length; j < len; j++) { + this_sample_data = trait_sample_data[j]; + trait_vals.push(this_sample_data.value); + } + root.box_data[0]['y'] = trait_vals + } + + if ($('input[name="transform"]').val() != ""){ + root.box_layout['yaxis']['title'] = "<b>" + js_data.unit_type + " (" + $('input[name="transform"]').val() + ")</b>" + } + + Plotly.newPlot('box_plot', root.box_data, root.box_layout, root.modebar_options) +} - redraw_bar_chart = function() { - var x; - var _i, _len, _ref, data; - _ref = _.values(root.selected_samples[root.stats_group]); - names_and_values = [] - for (i = 0; i < _ref.length; i++){ - _ref[i]["name"] = Object.keys(root.selected_samples[root.stats_group])[i] +update_violin_plot = function() { + var y_value_list = [] + if (sample_lists.length > 1) { + i = 0; + for (var sample_group in root.selected_samples){ + var trait_sample_data = _.values(root.selected_samples[sample_group]) + var trait_vals = []; + for (j = 0, len = trait_sample_data.length; j < len; j++) { + this_sample_data = trait_sample_data[j]; + trait_vals.push(this_sample_data.value); } - trait_vals = []; - trait_vars = []; - trait_samples = []; + root.violin_data[i]['y'] = trait_vals + i++; + } + } else { + var trait_sample_data = _.values(root.selected_samples['samples_all']) + var trait_vals = []; + for (j = 0, len = trait_sample_data.length; j < len; j++) { + this_sample_data = trait_sample_data[j]; + trait_vals.push(this_sample_data.value); + } + root.violin_data[0]['y'] = trait_vals + } + + if ($('input[name="transform"]').val() != ""){ + root.violin_layout['yaxis']['title'] = "<b>" + js_data.unit_type + " (" + $('input[name="transform"]').val() + ")</b>" + } + + Plotly.newPlot('violin_plot', root.violin_data, root.violin_layout, root.modebar_options) +} + + +update_prob_plot = function() { + return root.redraw_prob_plot_impl(root.selected_samples, root.prob_plot_group); +}; - function sortFunction(a, b) { - if (a.value === b.value) { - return 0; +make_table = function() { + var header, key, row, row_line, table, the_id, the_rows, value, _i, _len, _ref, _ref1; + if (js_data.trait_symbol != null) { + header = "<thead><tr><th style=\"color: white; background-color: #369; text-align: center;\" colspan=\"100%\">Trait " + js_data.trait_id + " - " + js_data.trait_symbol + "</th></tr><tr><th style=\"text-align: right; padding-left: 5px;\">Statistic</th>"; + } else if (js_data.dataset_type == "Geno"){ + header = "<thead><tr><th style=\"color: white; background-color: #369; text-align: center;\" colspan=\"100%\">Marker " + js_data.trait_id + "</th></tr><tr><th style=\"text-align: right; padding-left: 5px;\">Statistic</th>"; + } else { + header = "<thead><tr><th style=\"color: white; background-color: #369; text-align: center;\" colspan=\"100%\">Trait " + js_data.trait_id + ": " + js_data.short_description + "</th></tr><tr><th style=\"text-align: right; padding-left: 5px;\">Statistic</th>"; + } + _ref = js_data.sample_group_types; + for (key in _ref) { + if (!__hasProp.call(_ref, key)) continue; + value = _ref[key]; + the_id = process_id("column", key); + if (Object.keys(_ref).length > 1) { + header += "<th id=\"" + the_id + "\" style=\"text-align: right; padding-left: 5px;\">" + value + "</th>"; + } else { + header += "<th id=\"" + the_id + "\" style=\"text-align: right; padding-left: 5px;\">Value</th>"; + } + } + + header += "</thead>"; + the_rows = "<tbody>"; + for (_i = 0, _len = Stat_Table_Rows.length; _i < _len; _i++) { + row = Stat_Table_Rows[_i]; + if ((row.vn == "range_fold") && js_data.dataset_type == "Publish"){ + continue; + } + row_line = "<tr>"; + if (row.url != null) { + row_line += "<td id=\"" + row.vn + "\" align=\"right\"><a href=\"" + row.url + "\" style=\"color: #0000EE;\">" + row.pretty + "</a></td>"; + } else { + row_line += "<td id=\"" + row.vn + "\" align=\"right\">" + row.pretty + "</td>"; + } + _ref1 = js_data.sample_group_types; + for (key in _ref1) { + if (!__hasProp.call(_ref1, key)) continue; + value = _ref1[key]; + the_id = process_id(key, row.vn); + row_line += "<td id=\"" + the_id + "\" align=\"right\">N/A</td>"; + } + row_line += "</tr>"; + the_rows += row_line; + } + the_rows += "</tbody>"; + table = header + the_rows; + return $("#stats_table").append(table); +}; +process_id = function() { + var processed, value, values, _i, _len; + values = 1 <= arguments.length ? __slice.call(arguments, 0) : []; + + /* Make an id or a class valid javascript by, for example, eliminating spaces */ + processed = ""; + for (_i = 0, _len = values.length; _i < _len; _i++) { + value = values[_i]; + value = value.replace(" ", "_"); + if (processed.length) { + processed += "-"; + } + processed += value; + } + return processed; +}; +edit_data_change = function() { + var already_seen, checkbox, name, real_dict, real_value, real_variance, row, rows, sample_sets, table, tables, _i, _j, _len, _len1; + already_seen = {}; + sample_sets = { + samples_primary: new Stats([]), + samples_other: new Stats([]), + samples_all: new Stats([]) + }; + root.selected_samples = { + samples_primary: {}, + samples_other: {}, + samples_all: {} + }; + tables = ['samples_primary', 'samples_other']; + for (_i = 0, _len = tables.length; _i < _len; _i++) { + table = tables[_i]; + rows = $("#" + table).find('tr'); + for (_j = 0, _len1 = rows.length; _j < _len1; _j++) { + row = rows[_j]; + name = $(row).find('.edit_sample_sample_name').html(); + name = $.trim(name); + real_value = $(row).find('.edit_sample_value').val(); + checkbox = $(row).find(".edit_sample_checkbox"); + if (is_number(real_value) && real_value !== "") { + real_value = parseFloat(real_value); + sample_sets[table].add_value(real_value); + real_variance = $(row).find('.edit_sample_se').val(); + if (is_number(real_variance)) { + real_variance = parseFloat(real_variance); + } else { + real_variance = null; } - else { - return (a.value < b.value) ? -1 : 1; + real_dict = { + value: real_value, + variance: real_variance + }; + root.selected_samples[table][name] = real_dict; + if (!(name in already_seen)) { + sample_sets['samples_all'].add_value(real_value); + root.selected_samples['samples_all'][name] = real_dict; + already_seen[name] = true; } } + } + } + update_stat_values(sample_sets); - if (root.bar_sort == "value") { - _ref.sort(sortFunction) - } + if ($('#histogram').hasClass('js-plotly-plot')){ + update_histogram(); + } + if ($('#bar_chart').hasClass('js-plotly-plot')){ + update_bar_chart(); + } + if ($('#box_plot').hasClass('js-plotly-plot')){ + update_box_plot(); + } + if ($('#violin_plot').hasClass('js-plotly-plot')){ + update_violin_plot(); + } + if ($('#prob_plot_div').hasClass('js-plotly-plot')){ + return update_prob_plot(); + } +}; +show_hide_outliers = function() { + var label; + label = $('#show_hide_outliers').val(); + if (label === "Hide Outliers") { + return $('#show_hide_outliers').val("Show Outliers"); + } else if (label === "Show Outliers") { + $('#show_hide_outliers').val("Hide Outliers"); + return console.log("Should be now Hide Outliers"); + } +}; +on_corr_method_change = function() { + var corr_method; + corr_method = $('select[name=corr_type]').val(); + $('.correlation_desc').hide(); + $('#' + corr_method + "_r_desc").show().effect("highlight"); + if (corr_method === "lit") { + return $("#corr_sample_method").hide(); + } else { + return $("#corr_sample_method").show(); + } +}; +$('select[name=corr_type]').change(on_corr_method_change); - for (_i = 0, _len = _ref.length; _i < _len; _i++) { - x = _ref[_i]; - trait_samples.push(x.name) - trait_vals.push(x.value); - if (x["variance"] != undefined) { - trait_vars.push(x.variance); - } else{ - trait_vars.push(null) - } - } +submit_special = function(url) { + $("#trait_data_form").attr("action", url); + return $("#trait_data_form").submit(); +}; - root.bar_data[0]['y'] = trait_vals - root.bar_data[0]['error_y'] = { - type: 'data', - array: trait_vars, - visible: true +var corr_input_list = ['corr_type', 'trait_id', 'dataset', 'group', 'tool_used', 'form_url', 'corr_sample_method', 'corr_samples_group', 'corr_dataset', 'min_expr', + 'corr_return_results', 'loc_chr', 'min_loc_mb', 'max_loc_mb', 'p_range_lower', 'p_range_upper'] + +$(".corr_compute").on("click", (function(_this) { + return function() { + $('input[name=tool_used]').val("Correlation"); + $('input[name=form_url]').val("/corr_compute"); + $('input[name=wanted_inputs]').val(corr_input_list.join(",")); + url = "/loading"; + return submit_special(url); + }; +})(this)); + +create_value_dropdown = function(value) { + return "<option val=" + value + ">" + value + "</option>"; +}; +populate_sample_attributes_values_dropdown = function() { + var attribute_info, key, sample_attributes, selected_attribute, value, _i, _len, _ref, _ref1, _results; + $('#attribute_values').empty(); + sample_attributes = {}; + _ref = js_data.attribute_names; + for (key in _ref) { + if (!__hasProp.call(_ref, key)) continue; + attribute_info = _ref[key]; + sample_attributes[attribute_info.name] = attribute_info.distinct_values; + } + selected_attribute = $('#exclude_menu').val().replace("_", " "); + _ref1 = sample_attributes[selected_attribute]; + _results = []; + for (_i = 0, _len = _ref1.length; _i < _len; _i++) { + value = _ref1[_i]; + _results.push($(create_value_dropdown(value)).appendTo($('#attribute_values'))); + } + return _results; +}; +if (Object.keys(js_data.attribute_names).length > 0) { + populate_sample_attributes_values_dropdown(); +} +$('#exclude_menu').change(populate_sample_attributes_values_dropdown); +block_by_attribute_value = function() { + var attribute_name, cell_class, exclude_by_value; + attribute_name = $('#exclude_menu').val(); + exclude_by_value = $('#attribute_values').val(); + cell_class = ".column_name-" + attribute_name; + return $(cell_class).each((function(_this) { + return function(index, element) { + var row; + if ($.trim($(element).text()) === exclude_by_value) { + row = $(element).parent('tr'); + return $(row).find(".trait_value_input").val("x"); } - root.bar_data[0]['x'] = trait_samples - Plotly.newPlot('bar_chart', root.bar_data, root.bar_layout); - Plotly.relayout('bar_chart', { - 'yaxis.autorange': true - }); }; - - redraw_box_plot = function() { - var y_value_list = [] - for (var sample_group in root.selected_samples){ - var trait_sample_data = _.values(root.selected_samples[sample_group]) - var trait_vals = []; - for (i = 0, len = trait_sample_data.length; i < len; i++) { - this_sample_data = trait_sample_data[i]; - trait_vals.push(this_sample_data.value); + })(this)); +}; +$('#exclude_group').click(block_by_attribute_value); +block_by_index = function() { + var end_index, error, index, index_list, index_set, index_string, start_index, _i, _j, _k, _len, _len1, _ref, _results; + index_string = $('#remove_samples_field').val(); + index_list = []; + _ref = index_string.split(","); + for (_i = 0, _len = _ref.length; _i < _len; _i++) { + index_set = _ref[_i]; + /* + if (index_set.indexOf('<') !== -1) { + try { + start_index = parseInt(index_set.split("<")[0]); + end_index = parseInt(index_set.split("<")[1]); + for (index = _j = start_index; start_index <= end_index ? _j <= end_index : _j >= end_index; index = start_index <= end_index ? ++_j : --_j) { + index_list.push(index); } - y_value_list.push(trait_vals) + } catch (_error) { + error = _error; + alert("Syntax error"); } - - if (Object.keys(js_data.sample_group_types).length > 1) { - var update = { - y: y_value_list - } - console.log("REDRAW UPDATE:", update) - Plotly.restyle('box_plot', update, [0, 1, 2]) - } else { - var update = { - y: y_value_list - } - Plotly.restyle('box_plot', update) + } + */ + if (index_set.indexOf('-') !== -1) { + try { + start_index = parseInt(index_set.split("-")[0]); + end_index = parseInt(index_set.split("-")[1]); + for (index = _j = start_index; start_index <= end_index ? _j <= end_index : _j >= end_index; index = start_index <= end_index ? ++_j : --_j) { + index_list.push(index); + } + } catch (_error) { + error = _error; + alert("Syntax error"); } + } else { + index = parseInt(index_set); + index_list.push(index); } + } + _results = []; + for (_k = 0, _len1 = index_list.length; _k < _len1; _k++) { + index = index_list[_k]; + if ($('#block_group').val() === "primary") { + _results.push($('#samples_primary').find('td.column_name-Index').filter(function() { return $(this).text() == index.toString() }).closest('tr').find('.trait_value_input').val("x")); + } else if ($('#block_group').val() === "other") { + _results.push($('#samples_other').find('td.column_name-Index').filter(function() { return $(this).text() == index.toString() }).closest('tr').find('.trait_value_input').val("x")); + } else { + _results.push(void 0); + } + } + return _results; +}; +$('#block_by_index').click(block_by_index); - redraw_prob_plot = function() { - return root.redraw_prob_plot_impl(root.selected_samples, root.prob_plot_group); +hide_no_value = function() { + return $('.value_se').each((function(_this) { + return function(_index, element) { + if ($(element).find('.trait_value_input').val() === 'x') { + return $(element).hide(); + } + }; + })(this)); +}; +$('#hide_no_value').click(hide_no_value); +block_outliers = function() { + return $('.outlier').each((function(_this) { + return function(_index, element) { + return $(element).find('.trait_value_input').val('x'); + }; + })(this)); +}; +$('#block_outliers').click(block_outliers); +reset_samples_table = function() { + $('input[name="transform"]').val(""); + $('span[name="transform_text"]').text("") + return $('.trait_value_input').each((function(_this) { + return function(_index, element) { + $(element).val($(element).data('value')); + return $(element).parents('.value_se').show(); }; + })(this)); +}; +$('.reset').click(function() { + reset_samples_table(); + edit_data_change(); +}); - make_table = function() { - var header, key, row, row_line, table, the_id, the_rows, value, _i, _len, _ref, _ref1; - header = "<thead><tr><th style=\"text-align: right; padding-left: 5px;\">Statistic</th>"; - _ref = js_data.sample_group_types; - for (key in _ref) { - if (!__hasProp.call(_ref, key)) continue; - value = _ref[key]; - the_id = process_id("column", key); - if (Object.keys(_ref).length > 1) { - header += "<th id=\"" + the_id + "\" style=\"text-align: right; padding-left: 5px;\">" + value + "</th>"; - } else { - header += "<th id=\"" + the_id + "\" style=\"text-align: right; padding-left: 5px;\">Value</th>"; +log2_normalize_data = function(zero_to_one_vals_exist) { + return $('.trait_value_input').each((function(_this) { + return function(_index, element) { + current_value = $(element).data("value") + if(isNaN(current_value)) { + return current_value + } else { + if (zero_to_one_vals_exist){ + current_value = parseFloat(current_value) + 1; } + $(element).val(Math.log2(current_value).toFixed(3)); + return Math.log2(current_value).toFixed(3) } + }; + })(this)); +}; - header += "</thead>"; - the_rows = "<tbody>"; - for (_i = 0, _len = Stat_Table_Rows.length; _i < _len; _i++) { - row = Stat_Table_Rows[_i]; - if ((row.vn == "range_fold" || row.vn == "range") && js_data.dataset_type == "Publish"){ - continue; - } - row_line = "<tr>"; - if (row.url != null) { - row_line += "<td id=\"" + row.vn + "\" align=\"right\"><a href=\"" + row.url + "\" style=\"color: #000000;\">" + row.pretty + "</a></td>"; - } else { - row_line += "<td id=\"" + row.vn + "\" align=\"right\">" + row.pretty + "</td>"; - } - _ref1 = js_data.sample_group_types; - for (key in _ref1) { - if (!__hasProp.call(_ref1, key)) continue; - value = _ref1[key]; - the_id = process_id(key, row.vn); - row_line += "<td id=\"" + the_id + "\" align=\"right\">foo</td>"; +log10_normalize_data = function(zero_to_one_vals_exist) { + return $('.trait_value_input').each((function(_this) { + return function(_index, element) { + current_value = $(element).data("value") + if(isNaN(current_value)) { + return current_value + } else { + if (zero_to_one_vals_exist){ + current_value = parseFloat(current_value) + 1; } - row_line += "</tr>"; - the_rows += row_line; + $(element).val(Math.log10(current_value).toFixed(3)); + return Math.log10(current_value).toFixed(3) } - the_rows += "</tbody>"; - table = header + the_rows; - return $("#stats_table").append(table); }; - process_id = function() { - var processed, value, values, _i, _len; - values = 1 <= arguments.length ? __slice.call(arguments, 0) : []; - - /* Make an id or a class valid javascript by, for example, eliminating spaces */ - processed = ""; - for (_i = 0, _len = values.length; _i < _len; _i++) { - value = values[_i]; - console.log("value:", value); - value = value.replace(" ", "_"); - if (processed.length) { - processed += "-"; - } - processed += value; + })(this)); +}; + + +sqrt_normalize_data = function() { + return $('.edit_sample_value').each((function(_this) { + return function(_index, element) { + current_value = parseFloat($(element).data("value")) + 1; + if(isNaN(current_value)) { + return current_value + } else { + $(element).val(Math.sqrt(current_value).toFixed(3)); + return Math.sqrt(current_value).toFixed(3) } - return processed; }; - edit_data_change = function() { - var already_seen, checkbox, checked, name, real_dict, real_value, real_variance, row, rows, sample_sets, table, tables, _i, _j, _len, _len1; - already_seen = {}; - sample_sets = { - samples_primary: new Stats([]), - samples_other: new Stats([]), - samples_all: new Stats([]) - }; - root.selected_samples = { - samples_primary: {}, - samples_other: {}, - samples_all: {} - }; - console.log("at beginning:", sample_sets); - tables = ['samples_primary', 'samples_other']; - for (_i = 0, _len = tables.length; _i < _len; _i++) { - table = tables[_i]; - rows = $("#" + table).find('tr'); - for (_j = 0, _len1 = rows.length; _j < _len1; _j++) { - row = rows[_j]; - name = $(row).find('.edit_sample_sample_name').html(); - name = $.trim(name); - real_value = $(row).find('.edit_sample_value').val(); - checkbox = $(row).find(".edit_sample_checkbox"); - checked = $(checkbox).prop('checked'); - if (checked && is_number(real_value) && real_value !== "") { - real_value = parseFloat(real_value); - sample_sets[table].add_value(real_value); - real_variance = $(row).find('.edit_sample_se').val(); - if (is_number(real_variance)) { - real_variance = parseFloat(real_variance); - } else { - real_variance = null; - } - real_dict = { - value: real_value, - variance: real_variance - }; - root.selected_samples[table][name] = real_dict; - if (!(name in already_seen)) { - sample_sets['samples_all'].add_value(real_value); - root.selected_samples['samples_all'][name] = real_dict; - already_seen[name] = true; - } - } - } + })(this)); +}; + +invert_data = function() { + return $('.edit_sample_value').each((function(_this) { + return function(_index, element) { + current_value = parseFloat($(element).val()); + if(isNaN(current_value)) { + return current_value + } else { + $(element).val(-(current_value)); + return -(current_value) } - console.log("towards end:", sample_sets); - update_stat_values(sample_sets); - console.log("redrawing histogram"); - redraw_histogram(); - console.log("redrawing bar chart"); - redraw_bar_chart(); - console.log("redrawing box plot"); - redraw_box_plot(); - console.log("redrawing probability plot"); - return redraw_prob_plot(); }; - show_hide_outliers = function() { - var label; - console.log("FOOBAR in beginning of show_hide_outliers"); - label = $('#show_hide_outliers').val(); - console.log("lable is:", label); - if (label === "Hide Outliers") { - return $('#show_hide_outliers').val("Show Outliers"); - } else if (label === "Show Outliers") { - console.log("Found Show Outliers"); - $('#show_hide_outliers').val("Hide Outliers"); - return console.log("Should be now Hide Outliers"); + })(this)); +}; + + +qnorm_data = function() { + return $('.edit_sample_value').each((function(_this) { + return function(_index, element) { + current_value = parseFloat($(element).data("value")) + 1; + if(isNaN(current_value)) { + return current_value + } else { + $(element).val($(element).data("qnorm")); + return $(element).data("qnorm"); } }; - on_corr_method_change = function() { - var corr_method; - corr_method = $('select[name=corr_type]').val(); - console.log("corr_method is:", corr_method); - $('.correlation_desc').hide(); - $('#' + corr_method + "_r_desc").show().effect("highlight"); - if (corr_method === "lit") { - return $("#corr_sample_method").hide(); + })(this)); +}; + +zscore_data = function() { + return $('.edit_sample_value').each((function(_this) { + return function(_index, element) { + current_value = parseFloat($(element).data("value")) + 1; + if(isNaN(current_value)) { + return current_value } else { - return $("#corr_sample_method").show(); + $(element).val($(element).data("zscore")); + return $(element).data("zscore"); } }; - $('select[name=corr_type]').change(on_corr_method_change); + })(this)); +}; - submit_special = function(url) { - $("#trait_data_form").attr("action", url); - return $("#trait_data_form").submit(); - }; +check_for_zero_to_one_vals = function() { + zero_to_one_vals_exist = false + $('.trait_value_input').each(function() { + current_value = $(this).data("value") + if(isNaN(current_value)) { + return; + } else { + current_value = parseFloat(current_value) + if (0 < current_value && current_value < 1){ + zero_to_one_vals_exist = true + return false; + } + } + }); + return zero_to_one_vals_exist +} - submit_corr = function(){ - var url; - url = "/corr_compute"; - return submit_special(url); - }; - - $(".corr_compute").on("click", (function(_this) { - return function() { - var url; - url = "/corr_compute"; - return submit_special(url); - }; - })(this)); - - create_value_dropdown = function(value) { - return "<option val=" + value + ">" + value + "</option>"; +normalize_data = function() { + if ($('#norm_method option:selected').val() == 'log2' || $('#norm_method option:selected').val() == 'log10'){ + zero_to_one_vals_exist = check_for_zero_to_one_vals(); + if ($('input[name="transform"]').val() != "log2" && $('#norm_method option:selected').val() == 'log2') { + log2_normalize_data(zero_to_one_vals_exist) + $('input[name="transform"]').val("log2") + $('span[name="transform_text"]').text(" - log2 transformed") + } else { + if ($('input[name="transform"]').val() != "log10" && $('#norm_method option:selected').val() == 'log10'){ + log10_normalize_data(zero_to_one_vals_exist) + $('input[name="transform"]').val("log10") + $('span[name="transform_text"]').text(" - log10 transformed") + } + } + } + else if ($('#norm_method option:selected').val() == 'sqrt'){ + if ($('input[name="transform"]').val() != "sqrt") { + sqrt_normalize_data() + $('input[name="transform"]').val("sqrt") + $('span[name="transform_text"]').text(" - Square Root transformed") + } + } + else if ($('#norm_method option:selected').val() == 'invert'){ + invert_data() + $('input[name="transform"]').val("inverted") + $('span[name="transform_text"]').text(" - Inverted") + } + else if ($('#norm_method option:selected').val() == 'qnorm'){ + if ($('input[name="transform"]').val() != "qnorm") { + qnorm_data() + $('input[name="transform"]').val("qnorm") + $('span[name="transform_text"]').text(" - Quantile Normalized") + } + } + else if ($('#norm_method option:selected').val() == 'zscore'){ + if ($('input[name="transform"]').val() != "zscore") { + zscore_data() + $('input[name="transform"]').val("zscore") + $('span[name="transform_text"]').text(" - Z-Scores") + } + } +} + +$('#normalize').click(normalize_data); + +switch_qnorm_data = function() { + return $('.trait_value_input').each((function(_this) { + return function(_index, element) { + transform_val = $(element).data('transform') + if (transform_val != "") { + $(element).val(transform_val.toFixed(3)); + } + return transform_val }; - populate_sample_attributes_values_dropdown = function() { - var attribute_info, key, sample_attributes, selected_attribute, value, _i, _len, _ref, _ref1, _results; - console.log("in beginning of psavd"); - $('#attribute_values').empty(); - sample_attributes = {}; + })(this)); +}; +$('#qnorm').click(switch_qnorm_data); +get_sample_table_data = function(table_name) { + var samples; + samples = []; + $('#' + table_name).find('.value_se').each((function(_this) { + return function(_index, element) { + var attribute_info, key, row_data, _ref; + row_data = {}; + row_data.name = $.trim($(element).find('.column_name-Sample').text()); + row_data.value = $(element).find('.edit_sample_value:eq(0)').val(); + if ($(element).find('.edit_sample_se').length > 0) { + row_data.se = $(element).find('.edit_sample_se').val(); + } + if ($(element).find('.edit_sample_num_cases').length > 0) { + row_data.num_cases = $(element).find('.edit_sample_num_cases').val(); + } _ref = js_data.attribute_names; for (key in _ref) { if (!__hasProp.call(_ref, key)) continue; attribute_info = _ref[key]; - sample_attributes[attribute_info.name] = attribute_info.distinct_values; - } - console.log("[visa] attributes is:", sample_attributes); - selected_attribute = $('#exclude_menu').val().replace("_", " "); - console.log("selected_attribute is:", selected_attribute); - _ref1 = sample_attributes[selected_attribute]; - _results = []; - for (_i = 0, _len = _ref1.length; _i < _len; _i++) { - value = _ref1[_i]; - _results.push($(create_value_dropdown(value)).appendTo($('#attribute_values'))); - } - return _results; - }; - if (js_data.attribute_names.length > 0) { - populate_sample_attributes_values_dropdown(); - } - $('#exclude_menu').change(populate_sample_attributes_values_dropdown); - block_by_attribute_value = function() { - var attribute_name, cell_class, exclude_by_value; - attribute_name = $('#exclude_menu').val(); - exclude_by_value = $('#attribute_values').val(); - cell_class = ".column_name-" + attribute_name; - return $(cell_class).each((function(_this) { - return function(index, element) { - var row; - if ($.trim($(element).text()) === exclude_by_value) { - row = $(element).parent('tr'); - return $(row).find(".trait_value_input").val("x"); - } - }; - })(this)); - }; - $('#exclude_group').click(block_by_attribute_value); - block_by_index = function() { - var end_index, error, index, index_list, index_set, index_string, start_index, _i, _j, _k, _len, _len1, _ref, _results; - index_string = $('#remove_samples_field').val(); - index_list = []; - _ref = index_string.split(","); - for (_i = 0, _len = _ref.length; _i < _len; _i++) { - index_set = _ref[_i]; - if (index_set.indexOf('-') !== -1) { - try { - start_index = parseInt(index_set.split("-")[0]); - end_index = parseInt(index_set.split("-")[1]); - for (index = _j = start_index; start_index <= end_index ? _j <= end_index : _j >= end_index; index = start_index <= end_index ? ++_j : --_j) { - index_list.push(index); - } - } catch (_error) { - error = _error; - alert("Syntax error"); - } - } else { - index = parseInt(index_set); - console.log("index:", index); - index_list.push(index); - } + row_data[attribute_info.name] = $.trim($(element).find('.column_name-' + attribute_info.name.replace(" ", "_").replace("/", "\\/")).text()); } - console.log("index_list:", index_list); - _results = []; - for (_k = 0, _len1 = index_list.length; _k < _len1; _k++) { - index = index_list[_k]; - if ($('#block_group').val() === "primary") { - console.log("block_group:", $('#block_group').val()); - console.log("row:", $('#Primary_' + index.toString())); - _results.push($('#Primary_' + index.toString()).find('.trait_value_input').val("x")); - } else if ($('#block_group').val() === "other") { - console.log("block_group:", $('#block_group').val()); - console.log("row:", $('#Other_' + index.toString())); - _results.push($('#Other_' + index.toString()).find('.trait_value_input').val("x")); - } else { - _results.push(void 0); - } - } - return _results; - }; - $('#block_by_index').click(block_by_index); - hide_no_value = function() { - return $('.value_se').each((function(_this) { - return function(_index, element) { - if ($(element).find('.trait_value_input').val() === 'x') { - return $(element).hide(); - } - }; - })(this)); - }; - $('#hide_no_value').click(hide_no_value); - block_outliers = function() { - return $('.outlier').each((function(_this) { - return function(_index, element) { - return $(element).find('.trait_value_input').val('x'); - }; - })(this)); - }; - $('#block_outliers').click(block_outliers); - reset_samples_table = function() { - $('input[name="transform"]').val(""); - return $('.trait_value_input').each((function(_this) { - return function(_index, element) { - console.log("value is:", $(element).val()); - $(element).val($(element).data('value')); - console.log("data-value is:", $(element).data('value')); - return $(element).parents('.value_se').show(); - }; - })(this)); - }; - $('#reset').click(reset_samples_table); - - log_normalize_data = function() { - return $('.trait_value_input').each((function(_this) { - return function(_index, element) { - current_value = parseFloat($(element).data("value")) + 1; - if(isNaN(current_value)) { - return current_value - } else { - $(element).val(Math.log2(current_value).toFixed(3)); - return Math.log2(current_value).toFixed(3) - } - }; - })(this)); + return samples.push(row_data); }; + })(this)); + return samples; +}; +export_sample_table_data = function() { + var format, json_sample_data, sample_data; + sample_data = {}; + sample_data.primary_samples = get_sample_table_data('samples_primary'); + sample_data.other_samples = get_sample_table_data('samples_other'); + json_sample_data = JSON.stringify(sample_data); + $('input[name=export_data]').val(json_sample_data); + format = $('input[name=export_format]').val(); + if (format === "excel") { + $('#trait_data_form').attr('action', '/export_trait_excel'); + } else { + $('#trait_data_form').attr('action', '/export_trait_csv'); + } + return $('#trait_data_form').submit(); +}; - sqrt_normalize_data = function() { - return $('.trait_value_input').each((function(_this) { - return function(_index, element) { - current_value = parseFloat($(element).data("value")) + 1; - if(isNaN(current_value)) { - return current_value - } else { - $(element).val(Math.sqrt(current_value).toFixed(3)); - return Math.sqrt(current_value).toFixed(3) - } - }; - })(this)); - }; +$('.export_format').change(function() { + if (this.value == "csv"){ + $('#export_code').css("display", "block") + } else{ + $('#export_code').css("display", "none") + } + $('input[name=export_format]').val( this.value ); + $('.export_format').val( this.value ); +}); - qnorm_data = function() { - return $('.trait_value_input').each((function(_this) { - return function(_index, element) { - current_value = $(element).data("value"); - if(isNaN(current_value)) { - return current_value - } else { - $(element).val($(element).data("qnorm")); - return $(element).data("qnorm"); - } - }; - })(this)); - }; +$('.export').click(export_sample_table_data); +$('#block_outliers').click(block_outliers); +_.mixin(_.str.exports()); - normalize_data = function() { - if ($('#norm_method option:selected').val() == 'log2'){ - if ($('input[name="transform"]').val() != "log2") { - log_normalize_data() - $('input[name="transform"]').val("log2") - } +get_sample_vals = function(sample_list) { + var sample; + return this.sample_vals = (function() { + var i, len, results; + results = []; + for (i = 0, len = sample_list.length; i < len; i++) { + sample = sample_list[i]; + if (sample.value !== null) { + results.push(sample.value); } - else if ($('#norm_method option:selected').val() == 'sqrt'){ - if ($('input[name="transform"]').val() != "sqrt") { - sqrt_normalize_data() - $('input[name="transform"]').val("sqrt") - } + } + return results; + })(); +}; + +get_sample_errors = function(sample_list) { + var sample; + return this.sample_vals = (function() { + var i, len, results; + variance_exists = false; + results = []; + for (i = 0, len = sample_list.length; i < len; i++) { + sample = sample_list[i]; + if (sample.variance !== null) { + results.push(sample.variance); + variance_exists = true; } - else if ($('#norm_method option:selected').val() == 'qnorm'){ - if ($('input[name="transform"]').val() != "qnorm") { - qnorm_data() - $('input[name="transform"]').val("qnorm") - } + } + return [results, variance_exists]; + })(); +}; + +get_sample_names = function(sample_list) { + var sample; + return this.sample_names = (function() { + var i, len, results; + results = []; + for (i = 0, len = sample_list.length; i < len; i++) { + sample = sample_list[i]; + if (sample.value !== null) { + results.push(sample.name); } } + return results; + })(); +}; - $('#normalize').click(normalize_data); +get_bar_bottom_margin = function(sample_list){ + bottom_margin = 80 + max_length = 0 + sample_names = get_sample_names(sample_list) + for (i=0; i < sample_names.length; i++){ + if (sample_names[i].length > max_length) { + max_length = sample_names[i].length + } + } - switch_qnorm_data = function() { - return $('.trait_value_input').each((function(_this) { - return function(_index, element) { - transform_val = $(element).data('transform') - if (transform_val != "") { - $(element).val(transform_val.toFixed(3)); - } - return transform_val - }; - })(this)); - }; - $('#qnorm').click(switch_qnorm_data); - get_sample_table_data = function(table_name) { - var samples; - samples = []; - $('#' + table_name).find('.value_se').each((function(_this) { - return function(_index, element) { - var attribute_info, key, row_data, _ref; - row_data = {}; - row_data.name = $.trim($(element).find('.column_name-Sample').text()); - row_data.value = $(element).find('.edit_sample_value').val(); - if ($(element).find('.edit_sample_se').length !== -1) { - row_data.se = $(element).find('.edit_sample_se').val(); - } - _ref = js_data.attribute_names; - for (key in _ref) { - if (!__hasProp.call(_ref, key)) continue; - attribute_info = _ref[key]; - row_data[attribute_info.name] = $.trim($(element).find('.column_name-' + attribute_info.name.replace(" ", "_")).text()); - } - console.log("row_data is:", row_data); - return samples.push(row_data); - }; - })(this)); - return samples; - }; - export_sample_table_data = function() { - var format, json_sample_data, sample_data; - sample_data = {}; - sample_data.primary_samples = get_sample_table_data('samples_primary'); - sample_data.other_samples = get_sample_table_data('samples_other'); - console.log("sample_data is:", sample_data); - json_sample_data = JSON.stringify(sample_data); - console.log("json_sample_data is:", json_sample_data); - $('input[name=export_data]').val(json_sample_data); - console.log("export_data is", $('input[name=export_data]').val()); - format = $('#export_format').val(); - if (format === "excel") { - $('#trait_data_form').attr('action', '/export_trait_excel'); - } else { - $('#trait_data_form').attr('action', '/export_trait_csv'); - } - console.log("action is:", $('#trait_data_form').attr('action')); - return $('#trait_data_form').submit(); - }; - $('#export').click(export_sample_table_data); - console.log("before registering block_outliers"); - $('#block_outliers').click(block_outliers); - console.log("after registering block_outliers"); - _.mixin(_.str.exports()); - - get_sample_vals = function(sample_list) { - var sample; - return this.sample_vals = (function() { - var i, len, results; - results = []; - for (i = 0, len = sample_list.length; i < len; i++) { - sample = sample_list[i]; - if (sample.value !== null) { - results.push(sample.value); - } - } - return results; - })(); - }; + if (max_length > 6){ + bottom_margin += 11*(max_length - 6) + } - get_sample_errors = function(sample_list) { - var sample; - return this.sample_vals = (function() { - var i, len, results; - results = []; - for (i = 0, len = sample_list.length; i < len; i++) { - sample = sample_list[i]; - if (sample.variance !== null) { - results.push(sample.variance); - } - } - return results; - })(); - }; + return bottom_margin; +} - get_sample_names = function(sample_list) { - var sample; - return this.sample_names = (function() { - var i, len, results; - results = []; - for (i = 0, len = sample_list.length; i < len; i++) { - sample = sample_list[i]; - if (sample.value !== null) { - results.push(sample.name); - } - } - return results; - })(); - }; +root.stats_group = 'samples_primary'; + +if (Object.keys(js_data.sample_group_types).length > 1) { + full_sample_lists = [sample_lists[0], sample_lists[1], sample_lists[0].concat(sample_lists[1])] + sample_group_list = [js_data.sample_group_types['samples_primary'], js_data.sample_group_types['samples_other'], js_data.sample_group_types['samples_all']] +} else { + full_sample_lists = [sample_lists[0]] + sample_group_list = [js_data.sample_group_types['samples_primary']] +} - root.stats_group = 'samples_primary'; +// Define Plotly Options (for the options bar at the top of each figure) - if (Object.keys(js_data.sample_group_types).length > 1) { - full_sample_lists = [sample_lists[0], sample_lists[1], sample_lists[0].concat(sample_lists[1])] - sample_group_list = [js_data.sample_group_types['samples_primary'], js_data.sample_group_types['samples_other'], js_data.sample_group_types['samples_all']] +root.modebar_options = { + modeBarButtonsToAdd:[{ + name: 'Export as SVG', + icon: Plotly.Icons.disk, + click: function(gd) { + Plotly.downloadImage(gd, {format: 'svg'}) + } + }, + { + name: 'Export as JPEG', + icon: Plotly.Icons.camera, + click: function(gd) { + Plotly.downloadImage(gd, {format: 'jpeg'}) + } + }], + showEditInChartStudio: true, + plotlyServerURL: "https://chart-studio.plotly.com", + modeBarButtonsToRemove:['toImage', 'hoverClosest', 'hoverCompare', 'hoverClosestCartesian', 'hoverCompareCartesian', 'lasso2d', 'toggleSpikelines', 'resetScale2d'], + displaylogo: false + //modeBarButtons:['toImage2', 'zoom2d', 'pan2d', 'select2d', 'zoomIn2d', 'zoomOut2d', 'autoScale2d', 'resetScale2d'], +} + +// Bar Chart + +root.errors_exist = get_sample_errors(sample_lists[0])[1] +var bar_trace = { + x: get_sample_names(sample_lists[0]), + y: get_sample_vals(sample_lists[0]), + error_y: { + type: 'data', + array: get_sample_errors(sample_lists[0])[0], + visible: root.errors_exist + }, + type: 'bar' +} + +root.bar_data = [bar_trace] + +get_bar_range = function(sample_vals, sample_errors = null){ + positive_error_vals = [] + negative_error_vals = [] + for (i = 0;i < sample_vals.length; i++){ + if (sample_errors[i] != undefined) { + positive_error_vals.push(sample_vals[i] + sample_errors[i]) + negative_error_vals.push(sample_vals[i] - sample_errors[i]) } else { - full_sample_lists = [sample_lists[0]] - sample_group_list = [js_data.sample_group_types['samples_primary']] - } - - if (full_sample_lists.length > 1) { - var box_layout = { - width: 1200, - height: 500, - margin: { - l: 50, - r: 30, - t: 30, - b: 80 - } - }; - var trace1 = { - y: get_sample_vals(full_sample_lists[0]), - type: 'box', - name: sample_group_list[0], - boxpoints: 'all', - jitter: 0.5, - whiskerwidth: 0.2, - fillcolor: 'cls', - marker: { - size: 2 - }, - line: { - width: 1 - } - } - var trace2 = { - y: get_sample_vals(full_sample_lists[1]), - type: 'box', - name: sample_group_list[1], - boxpoints: 'all', - jitter: 0.5, - whiskerwidth: 0.2, - fillcolor: 'cls', - marker: { - size: 2 - }, - line: { - width: 1 - } - } - var trace3 = { - y: get_sample_vals(full_sample_lists[2]), - type: 'box', - name: sample_group_list[2], - boxpoints: 'all', - jitter: 0.5, - whiskerwidth: 0.2, - fillcolor: 'cls', - marker: { - size: 2 - }, - line: { - width: 1 - } - } - box_data = [trace1, trace2, trace3] + positive_error_vals.push(sample_vals[i]) + negative_error_vals.push(sample_vals[i]) + } + } + + min_y_val = Math.min(...negative_error_vals) + max_y_val = Math.max(...positive_error_vals) + + if (min_y_val == 0) { + range_top = max_y_val + Math.abs(max_y_val)*0.1 + range_bottom = 0; + } else { + range_top = max_y_val + Math.abs(max_y_val)*0.1 + range_bottom = min_y_val - Math.abs(min_y_val)*0.1 + if (min_y_val > 0) { + range_bottom = min_y_val - 0.1*Math.abs(min_y_val) + } else if (min_y_val < 0) { + range_bottom = min_y_val + 0.1*min_y_val } else { - var box_layout = { - width: 300, - height: 500, - margin: { - l: 50, - r: 30, - t: 30, - b: 80 - } - }; - box_data = [ - { - type: 'box', - y: get_sample_vals(full_sample_lists[0]), - name: sample_group_list[0], - boxpoints: 'all', - jitter: 0.5, - whiskerwidth: 0.2, - fillcolor: 'cls', - marker: { - size: 2 - }, - line: { - width: 1 - } - } - ] - } - - obj = { - data: box_data, - layout: box_layout - } - Plotly.newPlot('box_plot', obj); - - // Histogram - var hist_trace = { - x: get_sample_vals(sample_lists[0]), - type: 'histogram' - }; - var data = [hist_trace]; - var layout = { - bargap: 0.05, - title: "Sample Values", - xaxis: {title: "Value"}, - yaxis: {title: "Count"}, - margin: { - l: 50, - r: 30, - t: 100, - b: 60 - } - }; - Plotly.newPlot('histogram', data, layout) - - // Bar Chart - console.log("SAMPLE LISTS:", sample_lists) - var bar_trace = { - x: get_sample_names(sample_lists[0]), - y: get_sample_vals(sample_lists[0]), - error_y: { - type: 'data', - array: get_sample_errors(sample_lists[0]), - visible: true + range_bottom = 0 + } + } + + return [range_bottom, range_top] +} + +root.chart_range = get_bar_range(get_sample_vals(sample_lists[0]), get_sample_errors(sample_lists[0])[0]) +val_range = root.chart_range[1] - root.chart_range[0] + +if (val_range < 0.05){ + tick_digits = '.3f' +} else if (val_range < 0.5) { + tick_digits = '.2f' +} else if (val_range < 5){ + tick_digits = '.1f' +} else { + tick_digits = 'f' +} + +if (js_data.num_values < 256) { + bar_chart_width = 25 * get_sample_vals(sample_lists[0]).length + + //ZS: Set bottom margin dependent on longest sample name length, since those can get long + bottom_margin = get_bar_bottom_margin(sample_lists[0]) + + root.bar_layout = { + title: "<b>Trait " + js_data.trait_id + ": " + js_data.short_description + "</b>", + xaxis: { + type: 'category', + titlefont: { + size: 16 }, - type: 'bar' - }; - root.bar_data = [bar_trace] - - positive_error_vals = [] - negative_error_vals = [] - for (i = 0;i < get_sample_vals(sample_lists[0]).length; i++){ - if (get_sample_errors(sample_lists[0])[i] != undefined) { - positive_error_vals.push(get_sample_vals(sample_lists[0])[i] + get_sample_errors(sample_lists[0])[i]) - negative_error_vals.push(get_sample_vals(sample_lists[0])[i] - get_sample_errors(sample_lists[0])[i]) - } else { - positive_error_vals.push(get_sample_vals(sample_lists[0])[i]) - negative_error_vals.push(get_sample_vals(sample_lists[0])[i]) - } + showline: true, + ticklen: 4, + tickfont: { + size: 16 + }, + }, + yaxis: { + title: "<b>" + js_data.unit_type + "</b>", + range: root.chart_range, + titlefont: { + size: 16 + }, + showline: true, + ticklen: 4, + tickfont: { + size: 16 + }, + tickformat: tick_digits, + fixedrange: true + }, + width: bar_chart_width, + height: 600, + margin: { + l: 55, + r: 30, + t: 30, + b: bottom_margin } + }; + + $('.bar_chart_tab').click(function() { + update_bar_chart(); + }); +} - // Calculate the y axis cutoff to avoid a situation where all bar variation is clustered at the top of the chart - min_y_val = Math.min(...negative_error_vals) - max_y_val = Math.max(...positive_error_vals) +total_sample_count = 0 +for (i = 0, i < sample_lists.length; i++;) { + total_sample_count += get_sample_vals(sample_lists[i]).length +} - if (min_y_val == 0) { - range_top = max_y_val + Math.abs(max_y_val)*0.1 - range_bottom = 0; - } else { - range_top = max_y_val + Math.abs(max_y_val)*0.1 - range_bottom = min_y_val - Math.abs(min_y_val)*0.1 - if (min_y_val > 0) { - range_bottom = min_y_val - 0.1*Math.abs(min_y_val) - } else if (min_y_val < 0) { - range_bottom = min_y_val + 0.1*min_y_val - } else { - range_bottom = 0 +// Histogram +var hist_trace = { + x: get_sample_vals(sample_lists[0]), + type: 'histogram' +}; +root.histogram_data = [hist_trace]; +root.histogram_layout = { + bargap: 0.05, + title: "<b>Trait " + js_data.trait_id + ": " + js_data.short_description + "</b>", + xaxis: { + autorange: true, + title: js_data.unit_type, + titlefont: { + family: "arial", + size: 20 + }, + ticklen: 4, + tickfont: { + size: 16 + } + }, + yaxis: { + autorange: true, + title: "<b>Count</b>", + titlefont: { + family: "arial", + size: 20 + }, + showline: true, + ticklen: 4, + tickfont: { + size: 16 + }, + automargin: true, + fixedrange: true + }, + width: 500, + height: 600, + margin: { + l: 70, + r: 30, + t: 100, + b: 50 + } +}; + +$('.histogram_tab').click(function() { + update_histogram(); + update_histogram_width(); +}); + +$('.histogram_samples_group').val(root.stats_group); +$('.histogram_samples_group').change(function() { + root.stats_group = $(this).val(); + return update_histogram(); +}); + +root.box_layout = { + xaxis: { + showline: true, + titlefont: { + family: "arial", + size: 20 + }, + tickfont: { + size: 16 + }, + }, + yaxis: { + title: "<b>" + js_data.unit_type +"</b>", + autorange: true, + showline: true, + titlefont: { + family: "arial", + size: 20 + }, + ticklen: 4, + tickfont: { + size: 16 + }, + tickformat: tick_digits, + zeroline: false, + automargin: true + }, + margin: { + l: 90, + r: 30, + t: 30, + b: 80 + } +}; +if (full_sample_lists.length > 1) { + root.box_layout['width'] = 600; + root.box_layout['height'] = 500; + var trace1 = { + y: get_sample_vals(full_sample_lists[0]), + type: 'box', + name: sample_group_list[0], + boxpoints: 'Outliers', + jitter: 0.5, + whiskerwidth: 0.2, + fillcolor: 'cls', + pointpos: -3, + marker: { + color: 'blue', + size: 3 + }, + line: { + width: 1 } } - - var layout = { - yaxis: { - range: [range_bottom, range_top], + var trace2 = { + y: get_sample_vals(full_sample_lists[1]), + type: 'box', + name: sample_group_list[1], + boxpoints: 'Outliers', + jitter: 0.5, + whiskerwidth: 0.2, + fillcolor: 'cls', + pointpos: -3, + marker: { + color: 'red', + size: 3 }, - width: 1200, - height: 500, - margin: { - l: 50, - r: 30, - t: 30, - b: 80 + line: { + width: 1 } - }; - root.bar_layout = layout - Plotly.newPlot('bar_chart', root.bar_data, layout) - - $('.histogram_samples_group').val(root.stats_group); - $('.histogram_samples_group').change(function() { - root.stats_group = $(this).val(); - return redraw_histogram(); - }); - - $('.bar_chart_samples_group').change(function() { - root.stats_group = $(this).val(); - return redraw_bar_chart(); - }); - root.bar_sort = "name" - $('.sort_by_name').click(function() { - root.bar_sort = "name" - return redraw_bar_chart(); - }); - $('.sort_by_value').click(function() { - root.bar_sort = "value" - return redraw_bar_chart(); - }); - - root.prob_plot_group = 'samples_primary'; - $('.prob_plot_samples_group').val(root.prob_plot_group); - $('.prob_plot_samples_group').change(function() { - root.prob_plot_group = $(this).val(); - return redraw_prob_plot(); - }); + } + var trace3 = { + y: get_sample_vals(full_sample_lists[2]), + type: 'box', + name: sample_group_list[2], + boxpoints: 'Outliers', + jitter: 0.5, + whiskerwidth: 0.2, + fillcolor: 'cls', + pointpos: -3, + marker: { + color: 'green', + size: 3 + }, + line: { + width: 1 + } + } + root.box_data = [trace1, trace2, trace3] +} else { + root.box_layout['width'] = 300; + root.box_layout['height'] = 400; + root.box_data = [ + { + type: 'box', + y: get_sample_vals(full_sample_lists[0]), + name: "<b>Trait " + js_data.trait_id + "</b>", + boxpoints: 'Outliers', + jitter: 0.5, + whiskerwidth: 0.2, + fillcolor: 'cls', + pointpos: -3, + marker: { + size: 3 + }, + line: { + width: 1 + } + } + ] +} - make_table(); - edit_data_change(); - $('#edit_sample_lists').change(edit_data_change); - $('.edit_sample_value').change(edit_data_change); - $('#block_by_index').click(edit_data_change); - $('#exclude_group').click(edit_data_change); - $('#block_outliers').click(edit_data_change); - $('#reset').click(edit_data_change); - $('#qnorm').click(edit_data_change); - $('#normalize').click(edit_data_change); - return console.log("end"); +box_obj = { + data: box_data, + layout: root.box_layout +} + +$('.box_plot_tab').click(function() { + update_box_plot(); +}); + +// Violin Plot + +root.violin_layout = { + xaxis: { + showline: true, + titlefont: { + family: "arial", + size: 20 + }, + tickfont: { + size: 16 + } + }, + yaxis: { + title: "<b>"+js_data.unit_type+"</b>", + autorange: true, + showline: true, + titlefont: { + family: "arial", + size: 20 + }, + ticklen: 4, + tickfont: { + size: 16 + }, + tickformat: tick_digits, + zeroline: false, + automargin: true + }, + margin: { + l: 90, + r: 30, + t: 30, + b: 80 + } +}; + +if (full_sample_lists.length > 1) { + root.violin_layout['width'] = 600; + root.violin_layout['height'] = 500; + var trace1 = { + y: get_sample_vals(full_sample_lists[2]), + type: 'violin', + points: 'none', + box: { + visible: true + }, + line: { + color: 'blue', + }, + meanline: { + visible: true + }, + name: sample_group_list[2], + x0: sample_group_list[2] + } + var trace2 = { + y: get_sample_vals(full_sample_lists[1]), + type: 'violin', + points: 'none', + box: { + visible: true + }, + line: { + color: 'red', + }, + meanline: { + visible: true + }, + name: sample_group_list[1], + x0: sample_group_list[1] + } + var trace3 = { + y: get_sample_vals(full_sample_lists[0]), + type: 'violin', + points: 'none', + box: { + visible: true + }, + line: { + color: 'green', + }, + meanline: { + visible: true + }, + name: sample_group_list[0], + x0: sample_group_list[0] + } + root.violin_data = [trace1, trace2, trace3] +} else { + root.violin_layout['width'] = 300; + root.violin_layout['height'] = 400; + root.violin_data = [ + { + y: get_sample_vals(full_sample_lists[0]), + type: 'violin', + points: 'none', + box: { + visible: true + }, + meanline: { + visible: true + }, + name: "<b>Trait " + js_data.trait_id + "</b>", + x0: "<b>Trait " + js_data.trait_id + "</b>" + } + ] +} + +$('.violin_plot_tab').click(function() { + update_violin_plot(); +}); + +if (get_sample_vals(sample_lists[0]).length < 256) { + $('.bar_chart_samples_group').change(function() { + root.stats_group = $(this).val(); + return update_bar_chart(); }); + root.bar_sort = "name" +} +$('.sort_by_name').click(function() { + root.bar_sort = "name" + return update_bar_chart(); +}); +$('.sort_by_value').click(function() { + root.bar_sort = "value" + return update_bar_chart(); +}); + +root.prob_plot_group = 'samples_primary'; +$('.prob_plot_samples_group').val(root.prob_plot_group); +$('.prob_plot_tab').click(function() { + return update_prob_plot(); +}); +$('.prob_plot_samples_group').change(function() { + root.prob_plot_group = $(this).val(); + return update_prob_plot(); +}); - Number.prototype.countDecimals = function () { - if(Math.floor(this.valueOf()) === this.valueOf()) return 0; - return this.toString().split(".")[1].length || 0; +function isEmpty( el ){ + return !$.trim(el.html()) +} + +$('.stats_panel').click(function() { + if (isEmpty($('#stats_table'))){ + make_table(); + edit_data_change(); + } else { + edit_data_change(); } +}); +$('#edit_sample_lists').change(edit_data_change); +$('#block_by_index').click(edit_data_change); +$('#exclude_group').click(edit_data_change); +$('#block_outliers').click(edit_data_change); +$('#reset').click(edit_data_change); +$('#qnorm').click(edit_data_change); +$('#normalize').click(edit_data_change); -}).call(this);
\ No newline at end of file +Number.prototype.countDecimals = function () { + if(Math.floor(this.valueOf()) === this.valueOf()) return 0; + return this.toString().split(".")[1].length || 0; +}
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/show_trait_mapping_tools.coffee b/wqflask/wqflask/static/new/javascript/show_trait_mapping_tools.coffee deleted file mode 100644 index d14fb98c..00000000 --- a/wqflask/wqflask/static/new/javascript/show_trait_mapping_tools.coffee +++ /dev/null @@ -1,241 +0,0 @@ -submit_special = -> - # Add submit_special class plus a data-url field to any button - # And it will submit to that url - # No js changes necessary - console.log("In submit_special") - console.log("this is:", this) - console.log("$(this) is:", $(this)) - url = $(this).data("url") - console.log("url is:", url) - $("#trait_data_form").attr("action", url); - $("#trait_data_form").submit() - -update_time_remaining = (percent_complete) -> - now = new Date() - period = now.getTime() - root.start_time - console.log("period is:", period) - if period > 8000 - total_seconds_remaining = (period / percent_complete * (100 - percent_complete))/1000 - minutes_remaining = Math.round(total_seconds_remaining / 60) - #seconds_remaining = Math.round(total_seconds_remaining % 60) - #console.log("seconds_remaining:", seconds_remaining) - if minutes_remaining < 3 - $('#time_remaining').text(Math.round(total_seconds_remaining) + " seconds remaining") - else - $('#time_remaining').text(minutes_remaining + " minutes remaining") - -get_progress = -> - console.log("temp_uuid:", $("#temp_uuid").val()) - temp_uuid = $("#temp_uuid").val() - params = { key:temp_uuid } - params_str = $.param(params) - url = "/get_temp_data?" + params_str - console.log("url:", url) - $.ajax( - type: "GET" - url: url - success: (progress_data) => - percent_complete = progress_data['percent_complete'] - console.log("in get_progress data:", progress_data) - - $('#marker_regression_progress').css("width", percent_complete + "%") - - if root.start_time - unless isNaN(percent_complete) - update_time_remaining(percent_complete) - else - root.start_time = new Date().getTime() - ) - return false - -##Block Outliers Code -block_outliers = -> - $('.outlier').each (_index, element) => - $(element).find('.trait_value_input').val('x') - -do_ajax_post = (url, form_data) -> - $.ajax( - type: "POST" - url: url - data: form_data - error: (xhr, ajaxOptions, thrownError) => - alert("Sorry, an error occurred") - console.log(xhr) - clearInterval(this.my_timer) - $('#progress_bar_container').modal('hide') - $('#static_progress_bar_container').modal('hide') - $("body").html("We got an error.") - success: (data) => - clearInterval(this.my_timer) - $('#progress_bar_container').modal('hide') - $('#static_progress_bar_container').modal('hide') - open_mapping_results(data) - #$("body").html(data) - ) - console.log("settingInterval") - - this.my_timer = setInterval(get_progress, 1000) - return false - -open_mapping_results = (data) -> - #results_window = window.open("/mapping_results_container") - #results_window.onload = -> - # results_window.document.getElementById("mapping_results_container").innerHTML = data - - $.colorbox( - html: data - href: "#mapping_results_holder" - height: "90%" - width: "90%" - onComplete: => - root.create_lod_chart() - - #Set filename - filename = "lod_chart_" + js_data.this_trait - - getSvgXml = -> - svg = $("#topchart").find("svg")[0] - (new XMLSerializer).serializeToString(svg) - - $("#exportform > #export").click => - svg_xml = getSvgXml() - form = $("#exportform") - form.find("#data").val(svg_xml) - form.find("#filename").val(filename) - form.submit() - - $("#exportpdfform > #export_pdf").click => - svg_xml = getSvgXml() - form = $("#exportpdfform") - form.find("#data").val(svg_xml) - form.find("#filename").val(filename) - form.submit() - ) - -outlier_text = "One or more outliers exist in this data set. Please review values before mapping. \ - Including outliers when mapping may lead to misleading results. \ - We recommend <A HREF=\"http://en.wikipedia.org/wiki/Winsorising\">winsorising</A> the outliers \ - or simply deleting them." - -showalert = (message,alerttype) -> - $('#alert_placeholder').append('<div id="alertdiv" class="alert ' + alerttype + '"><a class="close" data-dismiss="alert">×</a><span>'+message+'</span></div>') - - -$('#suggestive').hide() - -$('input[name=display_all]').change(() => - console.log("check") - if $('input[name=display_all]:checked').val() == "False" - $('#suggestive').show() - else - $('#suggestive').hide() -) - -$("#pylmm_mapping_compute").on("mouseover", => - if ( $(".outlier").length and $(".outlier-alert").length < 1 ) - showalert(outlier_text, "alert-success outlier-alert") -) - -$("#pylmm_compute").on("click", => - $("#progress_bar_container").modal() - url = "/marker_regression" - $('input[name=method]').val("pylmm") - $('input[name=num_perm]').val($('input[name=num_perm_pylmm]').val()) - $('input[name=manhattan_plot]').val($('input[name=manhattan_plot_pylmm]:checked').val()) - form_data = $('#trait_data_form').serialize() - console.log("form_data is:", form_data) - - #remove_outliers = confirm("Remove outliers?") - #if use_outliers == true - # block_outliers() - do_ajax_post(url, form_data) -) - - -$("#rqtl_geno_compute").on("click", => - $("#progress_bar_container").modal() - url = "/marker_regression" - $('input[name=method]').val("rqtl_geno") - $('input[name=num_perm]').val($('input[name=num_perm_rqtl_geno]').val()) - $('input[name=manhattan_plot]').val($('input[name=manhattan_plot_rqtl]:checked').val()) - $('input[name=control_marker]').val($('input[name=control_rqtl_geno]').val()) - form_data = $('#trait_data_form').serialize() - console.log("form_data is:", form_data) - - #remove_outliers = confirm("Remove outliers?") - #if use_outliers == true - # block_outliers() - do_ajax_post(url, form_data) -) - - -$("#plink_compute").on("click", => - $("#static_progress_bar_container").modal() - url = "/marker_regression" - $('input[name=method]').val("plink") - #$('input[name=mapping_display_all]').val($('input[name=display_all_plink]').val()) - #$('input[name=suggestive]').val($('input[name=suggestive_plink]').val()) - $('input[name=maf]').val($('input[name=maf_plink]').val()) - form_data = $('#trait_data_form').serialize() - console.log("form_data is:", form_data) - - do_ajax_post(url, form_data) -) - -$("#gemma_compute").on("click", => - console.log("RUNNING GEMMA") - $("#static_progress_bar_container").modal() - url = "/marker_regression" - $('input[name=method]').val("gemma") - #$('input[name=mapping_display_all]').val($('input[name=display_all_gemma]').val()) - #$('input[name=suggestive]').val($('input[name=suggestive_gemma]').val()) - $('input[name=maf]').val($('input[name=maf_gemma]').val()) - form_data = $('#trait_data_form').serialize() - console.log("form_data is:", form_data) - - do_ajax_post(url, form_data) -) - -$("#interval_mapping_compute").on("mouseover", => - if ( $(".outlier").length and $(".outlier-alert").length < 1 ) - showalert(outlier_text, "alert-success outlier-alert") -) - -$("#interval_mapping_compute").on("click", => - console.log("In interval mapping") - $("#progress_bar_container").modal() - url = "/interval_mapping" - - $('input[name=method]').val("reaper") - $('input[name=manhattan_plot]').val($('input[name=manhattan_plot_reaper]:checked').val()) - $('input[name=mapping_display_all]').val($('input[name=display_all_reaper]')) - $('input[name=suggestive]').val($('input[name=suggestive_reaper]')) - form_data = $('#trait_data_form').serialize() - console.log("form_data is:", form_data) - - do_ajax_post(url, form_data) -) - -#$(".submit_special").click(submit_special) - -composite_mapping_fields = -> - $(".composite_fields").toggle() -mapping_method_fields = -> - $(".mapping_method_fields").toggle() - - -$("#use_composite_choice").change(composite_mapping_fields) -$("#mapping_method_choice").change(mapping_method_fields) - - -#### Todo: Redo below so its like submit_special and requires no js hardcoding -toggle_enable_disable = (elem) -> - $(elem).prop("disabled", !$(elem).prop("disabled")) - -$("#choose_closet_control").change(-> - toggle_enable_disable("#control_locus") -) - -$("#display_all_lrs").change(-> - toggle_enable_disable("#suggestive_lrs") -); diff --git a/wqflask/wqflask/static/new/javascript/show_trait_mapping_tools.js b/wqflask/wqflask/static/new/javascript/show_trait_mapping_tools.js index daa5b3f2..478ed87e 100644 --- a/wqflask/wqflask/static/new/javascript/show_trait_mapping_tools.js +++ b/wqflask/wqflask/static/new/javascript/show_trait_mapping_tools.js @@ -4,9 +4,6 @@ submit_special = function(url) { console.log("In submit_special"); - console.log("this is:", this); - console.log("$(this) is:", $(this)); - console.log("url is:", url); $("#trait_data_form").attr("action", url); return $("#trait_data_form").submit(); }; @@ -154,97 +151,83 @@ }; })(this)); - $("#pylmm_mapping_compute").on("mouseover", (function(_this) { - return function() { - if ($(".outlier").length && $(".outlier-alert").length < 1) { - return showalert(outlier_text, "alert-success outlier-alert"); - } - }; - })(this)); - - $("#pylmm_compute").on("click", (function(_this) { - return function() { - var form_data, url; - //$("#progress_bar_container").modal(); - url = "/loading"; - $('input[name=method]').val("pylmm"); - $('input[name=genofile]').val($('#genofile_pylmm').val()); - $('input[name=num_perm]').val($('input[name=num_perm_pylmm]').val()); - $('input[name=manhattan_plot]').val($('input[name=manhattan_plot_pylmm]:checked').val()); - form_data = $('#trait_data_form').serialize(); - console.log("form_data is:", form_data); - return submit_special(url); - //return do_ajax_post(url, form_data); - }; - })(this)); + //ZS: This is a list of inputs to be passed to the loading page, since not all inputs on the trait page are relevant to mapping + var mapping_input_list = ['temp_uuid', 'trait_id', 'dataset', 'tool_used', 'form_url', 'method', 'transform', 'trimmed_markers', 'selected_chr', 'chromosomes', 'mapping_scale', + 'score_type', 'suggestive', 'significant', 'num_perm', 'permCheck', 'perm_output', 'perm_strata', 'categorical_vars', 'num_bootstrap', 'bootCheck', 'bootstrap_results', + 'LRSCheck', 'covariates', 'maf', 'use_loco', 'manhattan_plot', 'control_marker', 'control_marker_db', 'do_control', 'genofile', + 'pair_scan', 'startMb', 'endMb', 'graphWidth', 'lrsMax', 'additiveCheck', 'showSNP', 'showGenes', 'viewLegend', 'haplotypeAnalystCheck', + 'mapmethod_rqtl_geno', 'mapmodel_rqtl_geno', 'temp_trait', 'group', 'species', 'reaper_version', 'primary_samples'] - $("#rqtl_geno_compute").on("click", (function(_this) { + $(".rqtl_tab, #rqtl_geno_compute").on("click", (function(_this) { return function() { - var form_data, url; - //$("#progress_bar_container").modal(); - url = "/loading"; - $('input[name=method]').val("rqtl_geno"); - $('input[name=genofile]').val($('#genofile_rqtl_geno').val()); - $('input[name=num_perm]').val($('input[name=num_perm_rqtl_geno]').val()); - $('input[name=manhattan_plot]').val($('input[name=manhattan_plot_rqtl]:checked').val()); - $('input[name=control_marker]').val($('input[name=control_rqtl_geno]').val()); - $('input[name=do_control]').val($('input[name=do_control_rqtl]:checked').val()); - form_data = $('#trait_data_form').serialize(); - console.log("form_data is:", form_data); - if ($('input[name=pair_scan]:checked').val() == "true") { - console.log("PAIR SCAN:", $('input[name=pair_scan]:checked').val()) - run_pair_scan = confirm(runtime_warning_text) - if (run_pair_scan == true) { - submit_special(url); - } - else { - return false - } - } - else { + if ($(this).hasClass('active') || $(this).attr('id') == "rqtl_geno_compute"){ + var form_data, url; + url = "/loading"; + $('input[name=method]').val("rqtl_geno"); + $('input[name=selected_chr]').val($('#chr_rqtl_geno').val()); + $('input[name=genofile]').val($('#genofile_rqtl_geno').val()); + $('input[name=num_perm]').val($('input[name=num_perm_rqtl_geno]').val()); + $('input[name=categorical_vars]').val(js_data.categorical_vars) + $('input[name=manhattan_plot]').val($('input[name=manhattan_plot_rqtl]:checked').val()); + $('input[name=control_marker]').val($('input[name=control_rqtl_geno]').val()); + $('input[name=do_control]').val($('input[name=do_control_rqtl]:checked').val()); + $('input[name=tool_used]').val("Mapping"); + $('input[name=form_url]').val("/run_mapping"); + $('input[name=wanted_inputs]').val(mapping_input_list.join(",")); return submit_special(url); - //return do_ajax_post(url, form_data); + } else { + return true } }; })(this)); - - $("#gemma_compute").on("click", (function(_this) { + + $(".gemma_tab, #gemma_compute").on("click", (function(_this) { return function() { - var form_data, url; - console.log("RUNNING GEMMA"); - url = "/loading"; - $('input[name=method]').val("gemma"); - $('input[name=num_perm]').val(0); - $('input[name=genofile]').val($('#genofile_gemma').val()); - $('input[name=maf]').val($('input[name=maf_gemma]').val()); - form_data = $('#trait_data_form').serialize(); - console.log("form_data is:", form_data); - return submit_special(url); + if ($(this).hasClass('active') || $(this).attr('id') == "gemma_compute"){ + var form_data, url; + console.log("RUNNING GEMMA"); + url = "/loading"; + $('input[name=method]').val("gemma"); + $('input[name=selected_chr]').val($('#chr_gemma').val()); + $('input[name=num_perm]').val(0); + $('input[name=genofile]').val($('#genofile_gemma').val()); + $('input[name=maf]').val($('input[name=maf_gemma]').val()); + $('input[name=tool_used]').val("Mapping"); + $('input[name=form_url]').val("/run_mapping"); + $('input[name=wanted_inputs]').val(mapping_input_list.join(",")); + return submit_special(url); + } else { + return true + } }; })(this)); - $("#interval_mapping_compute").on("click", (function(_this) { + $(".reaper_tab, #interval_mapping_compute").on("click", (function(_this) { return function() { - var form_data, url; - console.log("In interval mapping"); - //$("#progress_bar_container").modal(); - url = "/loading"; - $('input[name=method]').val("reaper"); - $('input[name=genofile]').val($('#genofile_reaper').val()); - $('input[name=num_perm]').val($('input[name=num_perm_reaper]').val()); - $('input[name=control_marker]').val($('input[name=control_reaper]').val()); - $('input[name=do_control]').val($('input[name=do_control_reaper]:checked').val()); - $('input[name=manhattan_plot]').val($('input[name=manhattan_plot_reaper]:checked').val()); - $('input[name=mapping_display_all]').val($('input[name=display_all_reaper]')); - $('input[name=suggestive]').val($('input[name=suggestive_reaper]')); - form_data = $('#trait_data_form').serialize(); - console.log("form_data is:", form_data); - return submit_special(url); - //return do_ajax_post(url, form_data); + if ($(this).hasClass('active') || $(this).attr('id') == "interval_mapping_compute"){ + var form_data, url; + console.log("In interval mapping"); + url = "/loading"; + $('input[name=method]').val("reaper"); + $('input[name=selected_chr]').val($('#chr_reaper').val()); + $('input[name=genofile]').val($('#genofile_reaper').val()); + $('input[name=num_perm]').val($('input[name=num_perm_reaper]').val()); + $('input[name=control_marker]').val($('input[name=control_reaper]').val()); + $('input[name=do_control]').val($('input[name=do_control_reaper]:checked').val()); + $('input[name=manhattan_plot]').val($('input[name=manhattan_plot_reaper]:checked').val()); + $('input[name=mapping_display_all]').val($('input[name=display_all_reaper]')); + $('input[name=suggestive]').val($('input[name=suggestive_reaper]')); + $('input[name=tool_used]').val("Mapping"); + $('input[name=form_url]').val("/run_mapping"); + $('input[name=wanted_inputs]').val(mapping_input_list.join(",")); + return submit_special(url); + } else { + return true + } }; })(this)); - $("#interval_mapping_compute").on("mouseover", (function(_this) { + $("#interval_mapping_compute, #gemma_compute, rqtl_geno_compute").on("mouseover", (function(_this) { return function() { if ($(".outlier").length && $(".outlier-alert").length < 1) { return showalert(outlier_text, "alert-success outlier-alert"); @@ -264,6 +247,36 @@ $("#mapping_method_choice").change(mapping_method_fields); + $("#mapmodel_rqtl_geno").change(function() { + if ($(this).val() == "np"){ + $("#mapmethod_rqtl_geno").attr('disabled', 'disabled'); + $("#mapmethod_rqtl_geno").css('background-color', '#CCC'); + $("#missing_geno").attr('disabled', 'disabled'); + $("#missing_geno").css('background-color', '#CCC'); + } else { + $("#mapmethod_rqtl_geno").removeAttr('disabled'); + $("#mapmethod_rqtl_geno").css('background-color', '#FFF'); + $("#missing_geno").removeAttr('disabled'); + $("#missing_geno").css('background-color', '#FFF'); + } + }); + + $("#mapmethod_rqtl_geno").change(function() { + if ($(this).val() == "mr"){ + $("#missing_geno_div").css('display', 'block'); + } else { + $("#missing_geno_div").css('display', 'none'); + } + }); + + $("li.mapping_tab").click(function() { + if ($(this).hasClass("rqtl")){ + $(".rqtl_description").css("display", "block"); + } else { + $(".rqtl_description").css("display", "none"); + } + }); + toggle_enable_disable = function(elem) { return $(elem).prop("disabled", !$(elem).prop("disabled")); }; diff --git a/wqflask/wqflask/static/new/javascript/stats.coffee b/wqflask/wqflask/static/new/javascript/stats.coffee deleted file mode 100644 index bf79d6c3..00000000 --- a/wqflask/wqflask/static/new/javascript/stats.coffee +++ /dev/null @@ -1,71 +0,0 @@ -class Stats - constructor: (@the_values) -> - - add_value: (value) -> - @the_values.push(value) - - n_of_samples: -> - return @the_values.length - - sum: -> - total = 0 - total += value for value in @the_values - return total - - mean: -> - return @sum() / @n_of_samples() - - median: -> - is_odd = @the_values.length % 2 - median_position = Math.floor(@the_values.length / 2) - the_values_sorted = @the_values.sort((a,b) -> return a - b) - if is_odd - return the_values_sorted[median_position] - else - return (the_values_sorted[median_position] + - the_values_sorted[median_position - 1]) / 2 - - std_dev: -> - sum = 0 - for value in @the_values - step_a = Math.pow(value - @mean(), 2) - sum += step_a - step_b = sum / @the_values.length - return Math.sqrt(step_b) - - std_error: -> - return @std_dev() / Math.sqrt(@n_of_samples()) - - # We could also just use the first value here (and last in max) because we assume the - # lists are sorted for things like interquartile (and in fact they are) - min: -> - return Math.min(@the_values...) - - max: -> - return Math.max(@the_values...) - - range: -> - return @max() - @min() - - range_fold: -> - return Math.pow(2, @range()) - - interquartile: -> - length = @the_values.length - # Todo: Consider averaging q1 and a3 when the length is odd - console.log("in interquartile the_values are:", @the_values) - console.log("length is:", length) - q1 = @the_values[Math.floor(length * .25)] - q3 = @the_values[Math.floor(length * .75)] - iq = q3 - q1 - return Math.pow(2, iq) - - -bxd_only = new Stats([3, 5, 7, 8]) -console.log("[xred] bxd_only mean:", bxd_only.mean()) -console.log("[xgreen] bxd_only median:", bxd_only.median()) -console.log("[xpurple] bxd_only std_dev:", bxd_only.std_dev()) -console.log("[xmagenta] bxd_only std_error:", bxd_only.std_error()) -console.log("[xyellow] bxd_only min:", bxd_only.min()) - -window.Stats = Stats diff --git a/wqflask/wqflask/static/new/javascript/stats.js b/wqflask/wqflask/static/new/javascript/stats.js index 4f99982e..4df03412 100644 --- a/wqflask/wqflask/static/new/javascript/stats.js +++ b/wqflask/wqflask/static/new/javascript/stats.js @@ -69,11 +69,23 @@ Stats = (function() { }; Stats.prototype.range = function() { - return this.max() - this.min(); + if (js_data.dataset_type == "ProbeSet"){ + if (js_data.data_scale == "linear_positive"){ + return Math.log2(this.max()) - Math.log2(this.min()); + } else { + return this.max() - this.min() + } + } else { + return this.max() - this.min() + } }; Stats.prototype.range_fold = function() { - return Math.pow(2, this.range()); + if (js_data.dataset_type == "ProbeSet"){ + return Math.pow(2, this.range()); + } else { + return this.range() + } }; Stats.prototype.interquartile = function() { @@ -81,10 +93,19 @@ Stats = (function() { length = this.the_values.length; console.log("in interquartile the_values are:", this.the_values); console.log("length is:", length); - q1 = this.the_values[Math.floor(length * .25)]; - q3 = this.the_values[Math.floor(length * .75)]; + if (js_data.dataset_type == "ProbeSet" && js_data.data_scale == "linear_positive") { + q1 = Math.log2(this.the_values[Math.floor(length * .25)]); + q3 = Math.log2(this.the_values[Math.floor(length * .75)]); + } else { + q1 = this.the_values[Math.floor(length * .25)]; + q3 = this.the_values[Math.floor(length * .75)]; + } iq = q3 - q1; - return Math.pow(2, iq); + if (js_data.dataset_type == "ProbeSet") { + return Math.pow(2, iq); + } else { + return iq; + } }; Stats.prototype.skewness = function() { @@ -154,16 +175,4 @@ Stats = (function() { })(); -bxd_only = new Stats([3, 5, 7, 8]); - -console.log("[xred] bxd_only mean:", bxd_only.mean()); - -console.log("[xgreen] bxd_only median:", bxd_only.median()); - -console.log("[xpurple] bxd_only std_dev:", bxd_only.std_dev()); - -console.log("[xmagenta] bxd_only std_error:", bxd_only.std_error()); - -console.log("[xyellow] bxd_only min:", bxd_only.min()); - window.Stats = Stats; diff --git a/wqflask/wqflask/static/new/javascript/thank_you.coffee b/wqflask/wqflask/static/new/javascript/thank_you.coffee deleted file mode 100644 index 975f85c6..00000000 --- a/wqflask/wqflask/static/new/javascript/thank_you.coffee +++ /dev/null @@ -1,4 +0,0 @@ -$ -> - console.log("Starting transform") - $('#login_out').text('Sign out').attr('href', '/logout').removeClass('modalize') - console.log("Transformed to sign out I hope") diff --git a/wqflask/wqflask/static/new/javascript/typeahead_rn6.json b/wqflask/wqflask/static/new/javascript/typeahead_rn6.json new file mode 100644 index 00000000..1889d8a2 --- /dev/null +++ b/wqflask/wqflask/static/new/javascript/typeahead_rn6.json @@ -0,0 +1 @@ +var rat_genes = 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\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/validation.coffee b/wqflask/wqflask/static/new/javascript/validation.coffee deleted file mode 100644 index 901f8c7c..00000000 --- a/wqflask/wqflask/static/new/javascript/validation.coffee +++ /dev/null @@ -1,42 +0,0 @@ -$ -> - - remove_samples_is_valid = (input)-> - #Validate if input is empty or just white spaces - if _.trim(input).length == 0 - return true - splats = input.split(",") - new_splats = (_.trim(input) for input in splats) - console.log("new_splats:", new_splats) - pattern = /^\d+\s*(?:-\s*\d+)?\s*$/ #Pattern like 3, 10-15, 24 - for splat in new_splats - console.log("splat is:", splat) - if not splat.match(pattern) - return false - return true - - validate_remove_samples = -> - ### - Check if input for the remove samples function is valid and notify the user if not - ### - input = $('#remove_samples_field').val() - console.log("input is:", input) - if remove_samples_is_valid(input) - console.log("input is valid") - $('#remove_samples_invalid').hide() - else - console.log("input isn't valid") - $('#remove_samples_invalid').show() - - validate_pylmm_permutation = -> - ### - Check if number of permutations is high (and will take long to compute) - ### - input = $('input[name=num_perm_pylmm]').val() - console.log("input:", input) - if input > 20 - $('#permutations_alert').show() - else - $('#permutations_alert').hide() - - $('input[name=num_perm_pylmm]').change(validate_pylmm_permutation) - $('#remove_samples_field').change(validate_remove_samples)
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/javascript/validation.js b/wqflask/wqflask/static/new/javascript/validation.js index d5725c2d..6769b490 100644 --- a/wqflask/wqflask/static/new/javascript/validation.js +++ b/wqflask/wqflask/static/new/javascript/validation.js @@ -1,6 +1,6 @@ // Generated by CoffeeScript 1.8.0 $(function() { - var remove_samples_is_valid, validate_pylmm_permutation, validate_remove_samples; + var remove_samples_is_valid, validate_remove_samples; remove_samples_is_valid = function(input) { var new_splats, pattern, splat, splats, _i, _len; if (_.trim(input).length === 0) { @@ -43,20 +43,5 @@ $(function() { return $('#remove_samples_invalid').show(); } }; - validate_pylmm_permutation = function() { - - /* - Check if number of permutations is high (and will take long to compute) - */ - var input; - input = $('input[name=num_perm_pylmm]').val(); - console.log("input:", input); - if (input > 20) { - return $('#permutations_alert').show(); - } else { - return $('#permutations_alert').hide(); - } - }; - $('input[name=num_perm_pylmm]').change(validate_pylmm_permutation); return $('#remove_samples_field').change(validate_remove_samples); }); diff --git a/wqflask/wqflask/static/new/js_external/jscolor.js b/wqflask/wqflask/static/new/js_external/jscolor.js new file mode 100644 index 00000000..5c77177d --- /dev/null +++ b/wqflask/wqflask/static/new/js_external/jscolor.js @@ -0,0 +1,1855 @@ +/**
+ * jscolor - JavaScript Color Picker
+ *
+ * @link http://jscolor.com
+ * @license For open source use: GPLv3
+ * For commercial use: JSColor Commercial License
+ * @author Jan Odvarko
+ * @version 2.0.5
+ *
+ * See usage examples at http://jscolor.com/examples/
+ */
+
+
+"use strict";
+
+
+if (!window.jscolor) { window.jscolor = (function () {
+
+
+var jsc = {
+
+
+ register : function () {
+ jsc.attachDOMReadyEvent(jsc.init);
+ jsc.attachEvent(document, 'mousedown', jsc.onDocumentMouseDown);
+ jsc.attachEvent(document, 'touchstart', jsc.onDocumentTouchStart);
+ jsc.attachEvent(window, 'resize', jsc.onWindowResize);
+ },
+
+
+ init : function () {
+ if (jsc.jscolor.lookupClass) {
+ jsc.jscolor.installByClassName(jsc.jscolor.lookupClass);
+ }
+ },
+
+
+ tryInstallOnElements : function (elms, className) {
+ var matchClass = new RegExp('(^|\\s)(' + className + ')(\\s*(\\{[^}]*\\})|\\s|$)', 'i');
+
+ for (var i = 0; i < elms.length; i += 1) {
+ if (elms[i].type !== undefined && elms[i].type.toLowerCase() == 'color') {
+ if (jsc.isColorAttrSupported) {
+ // skip inputs of type 'color' if supported by the browser
+ continue;
+ }
+ }
+ var m;
+ if (!elms[i].jscolor && elms[i].className && (m = elms[i].className.match(matchClass))) {
+ var targetElm = elms[i];
+ var optsStr = null;
+
+ var dataOptions = jsc.getDataAttr(targetElm, 'jscolor');
+ if (dataOptions !== null) {
+ optsStr = dataOptions;
+ } else if (m[4]) {
+ optsStr = m[4];
+ }
+
+ var opts = {};
+ if (optsStr) {
+ try {
+ opts = (new Function ('return (' + optsStr + ')'))();
+ } catch(eParseError) {
+ jsc.warn('Error parsing jscolor options: ' + eParseError + ':\n' + optsStr);
+ }
+ }
+ targetElm.jscolor = new jsc.jscolor(targetElm, opts);
+ }
+ }
+ },
+
+
+ isColorAttrSupported : (function () {
+ var elm = document.createElement('input');
+ if (elm.setAttribute) {
+ elm.setAttribute('type', 'color');
+ if (elm.type.toLowerCase() == 'color') {
+ return true;
+ }
+ }
+ return false;
+ })(),
+
+
+ isCanvasSupported : (function () {
+ var elm = document.createElement('canvas');
+ return !!(elm.getContext && elm.getContext('2d'));
+ })(),
+
+
+ fetchElement : function (mixed) {
+ return typeof mixed === 'string' ? document.getElementById(mixed) : mixed;
+ },
+
+
+ isElementType : function (elm, type) {
+ return elm.nodeName.toLowerCase() === type.toLowerCase();
+ },
+
+
+ getDataAttr : function (el, name) {
+ var attrName = 'data-' + name;
+ var attrValue = el.getAttribute(attrName);
+ if (attrValue !== null) {
+ return attrValue;
+ }
+ return null;
+ },
+
+
+ attachEvent : function (el, evnt, func) {
+ if (el.addEventListener) {
+ el.addEventListener(evnt, func, false);
+ } else if (el.attachEvent) {
+ el.attachEvent('on' + evnt, func);
+ }
+ },
+
+
+ detachEvent : function (el, evnt, func) {
+ if (el.removeEventListener) {
+ el.removeEventListener(evnt, func, false);
+ } else if (el.detachEvent) {
+ el.detachEvent('on' + evnt, func);
+ }
+ },
+
+
+ _attachedGroupEvents : {},
+
+
+ attachGroupEvent : function (groupName, el, evnt, func) {
+ if (!jsc._attachedGroupEvents.hasOwnProperty(groupName)) {
+ jsc._attachedGroupEvents[groupName] = [];
+ }
+ jsc._attachedGroupEvents[groupName].push([el, evnt, func]);
+ jsc.attachEvent(el, evnt, func);
+ },
+
+
+ detachGroupEvents : function (groupName) {
+ if (jsc._attachedGroupEvents.hasOwnProperty(groupName)) {
+ for (var i = 0; i < jsc._attachedGroupEvents[groupName].length; i += 1) {
+ var evt = jsc._attachedGroupEvents[groupName][i];
+ jsc.detachEvent(evt[0], evt[1], evt[2]);
+ }
+ delete jsc._attachedGroupEvents[groupName];
+ }
+ },
+
+
+ attachDOMReadyEvent : function (func) {
+ var fired = false;
+ var fireOnce = function () {
+ if (!fired) {
+ fired = true;
+ func();
+ }
+ };
+
+ if (document.readyState === 'complete') {
+ setTimeout(fireOnce, 1); // async
+ return;
+ }
+
+ if (document.addEventListener) {
+ document.addEventListener('DOMContentLoaded', fireOnce, false);
+
+ // Fallback
+ window.addEventListener('load', fireOnce, false);
+
+ } else if (document.attachEvent) {
+ // IE
+ document.attachEvent('onreadystatechange', function () {
+ if (document.readyState === 'complete') {
+ document.detachEvent('onreadystatechange', arguments.callee);
+ fireOnce();
+ }
+ })
+
+ // Fallback
+ window.attachEvent('onload', fireOnce);
+
+ // IE7/8
+ if (document.documentElement.doScroll && window == window.top) {
+ var tryScroll = function () {
+ if (!document.body) { return; }
+ try {
+ document.documentElement.doScroll('left');
+ fireOnce();
+ } catch (e) {
+ setTimeout(tryScroll, 1);
+ }
+ };
+ tryScroll();
+ }
+ }
+ },
+
+
+ warn : function (msg) {
+ if (window.console && window.console.warn) {
+ window.console.warn(msg);
+ }
+ },
+
+
+ preventDefault : function (e) {
+ if (e.preventDefault) { e.preventDefault(); }
+ e.returnValue = false;
+ },
+
+
+ captureTarget : function (target) {
+ // IE
+ if (target.setCapture) {
+ jsc._capturedTarget = target;
+ jsc._capturedTarget.setCapture();
+ }
+ },
+
+
+ releaseTarget : function () {
+ // IE
+ if (jsc._capturedTarget) {
+ jsc._capturedTarget.releaseCapture();
+ jsc._capturedTarget = null;
+ }
+ },
+
+
+ fireEvent : function (el, evnt) {
+ if (!el) {
+ return;
+ }
+ if (document.createEvent) {
+ var ev = document.createEvent('HTMLEvents');
+ ev.initEvent(evnt, true, true);
+ el.dispatchEvent(ev);
+ } else if (document.createEventObject) {
+ var ev = document.createEventObject();
+ el.fireEvent('on' + evnt, ev);
+ } else if (el['on' + evnt]) { // alternatively use the traditional event model
+ el['on' + evnt]();
+ }
+ },
+
+
+ classNameToList : function (className) {
+ return className.replace(/^\s+|\s+$/g, '').split(/\s+/);
+ },
+
+
+ // The className parameter (str) can only contain a single class name
+ hasClass : function (elm, className) {
+ if (!className) {
+ return false;
+ }
+ return -1 != (' ' + elm.className.replace(/\s+/g, ' ') + ' ').indexOf(' ' + className + ' ');
+ },
+
+
+ // The className parameter (str) can contain multiple class names separated by whitespace
+ setClass : function (elm, className) {
+ var classList = jsc.classNameToList(className);
+ for (var i = 0; i < classList.length; i += 1) {
+ if (!jsc.hasClass(elm, classList[i])) {
+ elm.className += (elm.className ? ' ' : '') + classList[i];
+ }
+ }
+ },
+
+
+ // The className parameter (str) can contain multiple class names separated by whitespace
+ unsetClass : function (elm, className) {
+ var classList = jsc.classNameToList(className);
+ for (var i = 0; i < classList.length; i += 1) {
+ var repl = new RegExp(
+ '^\\s*' + classList[i] + '\\s*|' +
+ '\\s*' + classList[i] + '\\s*$|' +
+ '\\s+' + classList[i] + '(\\s+)',
+ 'g'
+ );
+ elm.className = elm.className.replace(repl, '$1');
+ }
+ },
+
+
+ getStyle : function (elm) {
+ return window.getComputedStyle ? window.getComputedStyle(elm) : elm.currentStyle;
+ },
+
+
+ setStyle : (function () {
+ var helper = document.createElement('div');
+ var getSupportedProp = function (names) {
+ for (var i = 0; i < names.length; i += 1) {
+ if (names[i] in helper.style) {
+ return names[i];
+ }
+ }
+ };
+ var props = {
+ borderRadius: getSupportedProp(['borderRadius', 'MozBorderRadius', 'webkitBorderRadius']),
+ boxShadow: getSupportedProp(['boxShadow', 'MozBoxShadow', 'webkitBoxShadow'])
+ };
+ return function (elm, prop, value) {
+ switch (prop.toLowerCase()) {
+ case 'opacity':
+ var alphaOpacity = Math.round(parseFloat(value) * 100);
+ elm.style.opacity = value;
+ elm.style.filter = 'alpha(opacity=' + alphaOpacity + ')';
+ break;
+ default:
+ elm.style[props[prop]] = value;
+ break;
+ }
+ };
+ })(),
+
+
+ setBorderRadius : function (elm, value) {
+ jsc.setStyle(elm, 'borderRadius', value || '0');
+ },
+
+
+ setBoxShadow : function (elm, value) {
+ jsc.setStyle(elm, 'boxShadow', value || 'none');
+ },
+
+
+ getElementPos : function (e, relativeToViewport) {
+ var x=0, y=0;
+ var rect = e.getBoundingClientRect();
+ x = rect.left;
+ y = rect.top;
+ if (!relativeToViewport) {
+ var viewPos = jsc.getViewPos();
+ x += viewPos[0];
+ y += viewPos[1];
+ }
+ return [x, y];
+ },
+
+
+ getElementSize : function (e) {
+ return [e.offsetWidth, e.offsetHeight];
+ },
+
+
+ // get pointer's X/Y coordinates relative to viewport
+ getAbsPointerPos : function (e) {
+ if (!e) { e = window.event; }
+ var x = 0, y = 0;
+ if (typeof e.changedTouches !== 'undefined' && e.changedTouches.length) {
+ // touch devices
+ x = e.changedTouches[0].clientX;
+ y = e.changedTouches[0].clientY;
+ } else if (typeof e.clientX === 'number') {
+ x = e.clientX;
+ y = e.clientY;
+ }
+ return { x: x, y: y };
+ },
+
+
+ // get pointer's X/Y coordinates relative to target element
+ getRelPointerPos : function (e) {
+ if (!e) { e = window.event; }
+ var target = e.target || e.srcElement;
+ var targetRect = target.getBoundingClientRect();
+
+ var x = 0, y = 0;
+
+ var clientX = 0, clientY = 0;
+ if (typeof e.changedTouches !== 'undefined' && e.changedTouches.length) {
+ // touch devices
+ clientX = e.changedTouches[0].clientX;
+ clientY = e.changedTouches[0].clientY;
+ } else if (typeof e.clientX === 'number') {
+ clientX = e.clientX;
+ clientY = e.clientY;
+ }
+
+ x = clientX - targetRect.left;
+ y = clientY - targetRect.top;
+ return { x: x, y: y };
+ },
+
+
+ getViewPos : function () {
+ var doc = document.documentElement;
+ return [
+ (window.pageXOffset || doc.scrollLeft) - (doc.clientLeft || 0),
+ (window.pageYOffset || doc.scrollTop) - (doc.clientTop || 0)
+ ];
+ },
+
+
+ getViewSize : function () {
+ var doc = document.documentElement;
+ return [
+ (window.innerWidth || doc.clientWidth),
+ (window.innerHeight || doc.clientHeight),
+ ];
+ },
+
+
+ redrawPosition : function () {
+
+ if (jsc.picker && jsc.picker.owner) {
+ var thisObj = jsc.picker.owner;
+
+ var tp, vp;
+
+ if (thisObj.fixed) {
+ // Fixed elements are positioned relative to viewport,
+ // therefore we can ignore the scroll offset
+ tp = jsc.getElementPos(thisObj.targetElement, true); // target pos
+ vp = [0, 0]; // view pos
+ } else {
+ tp = jsc.getElementPos(thisObj.targetElement); // target pos
+ vp = jsc.getViewPos(); // view pos
+ }
+
+ var ts = jsc.getElementSize(thisObj.targetElement); // target size
+ var vs = jsc.getViewSize(); // view size
+ var ps = jsc.getPickerOuterDims(thisObj); // picker size
+ var a, b, c;
+ switch (thisObj.position.toLowerCase()) {
+ case 'left': a=1; b=0; c=-1; break;
+ case 'right':a=1; b=0; c=1; break;
+ case 'top': a=0; b=1; c=-1; break;
+ default: a=0; b=1; c=1; break;
+ }
+ var l = (ts[b]+ps[b])/2;
+
+ // compute picker position
+ if (!thisObj.smartPosition) {
+ var pp = [
+ tp[a],
+ tp[b]+ts[b]-l+l*c
+ ];
+ } else {
+ var pp = [
+ -vp[a]+tp[a]+ps[a] > vs[a] ?
+ (-vp[a]+tp[a]+ts[a]/2 > vs[a]/2 && tp[a]+ts[a]-ps[a] >= 0 ? tp[a]+ts[a]-ps[a] : tp[a]) :
+ tp[a],
+ -vp[b]+tp[b]+ts[b]+ps[b]-l+l*c > vs[b] ?
+ (-vp[b]+tp[b]+ts[b]/2 > vs[b]/2 && tp[b]+ts[b]-l-l*c >= 0 ? tp[b]+ts[b]-l-l*c : tp[b]+ts[b]-l+l*c) :
+ (tp[b]+ts[b]-l+l*c >= 0 ? tp[b]+ts[b]-l+l*c : tp[b]+ts[b]-l-l*c)
+ ];
+ }
+
+ var x = pp[a];
+ var y = pp[b];
+ var positionValue = thisObj.fixed ? 'fixed' : 'absolute';
+ var contractShadow =
+ (pp[0] + ps[0] > tp[0] || pp[0] < tp[0] + ts[0]) &&
+ (pp[1] + ps[1] < tp[1] + ts[1]);
+
+ jsc._drawPosition(thisObj, x, y, positionValue, contractShadow);
+ }
+ },
+
+
+ _drawPosition : function (thisObj, x, y, positionValue, contractShadow) {
+ var vShadow = contractShadow ? 0 : thisObj.shadowBlur; // px
+
+ jsc.picker.wrap.style.position = positionValue;
+ jsc.picker.wrap.style.left = x + 'px';
+ jsc.picker.wrap.style.top = y + 'px';
+
+ jsc.setBoxShadow(
+ jsc.picker.boxS,
+ thisObj.shadow ?
+ new jsc.BoxShadow(0, vShadow, thisObj.shadowBlur, 0, thisObj.shadowColor) :
+ null);
+ },
+
+
+ getPickerDims : function (thisObj) {
+ var displaySlider = !!jsc.getSliderComponent(thisObj);
+ var dims = [
+ 2 * thisObj.insetWidth + 2 * thisObj.padding + thisObj.width +
+ (displaySlider ? 2 * thisObj.insetWidth + jsc.getPadToSliderPadding(thisObj) + thisObj.sliderSize : 0),
+ 2 * thisObj.insetWidth + 2 * thisObj.padding + thisObj.height +
+ (thisObj.closable ? 2 * thisObj.insetWidth + thisObj.padding + thisObj.buttonHeight : 0)
+ ];
+ return dims;
+ },
+
+
+ getPickerOuterDims : function (thisObj) {
+ var dims = jsc.getPickerDims(thisObj);
+ return [
+ dims[0] + 2 * thisObj.borderWidth,
+ dims[1] + 2 * thisObj.borderWidth
+ ];
+ },
+
+
+ getPadToSliderPadding : function (thisObj) {
+ return Math.max(thisObj.padding, 1.5 * (2 * thisObj.pointerBorderWidth + thisObj.pointerThickness));
+ },
+
+
+ getPadYComponent : function (thisObj) {
+ switch (thisObj.mode.charAt(1).toLowerCase()) {
+ case 'v': return 'v'; break;
+ }
+ return 's';
+ },
+
+
+ getSliderComponent : function (thisObj) {
+ if (thisObj.mode.length > 2) {
+ switch (thisObj.mode.charAt(2).toLowerCase()) {
+ case 's': return 's'; break;
+ case 'v': return 'v'; break;
+ }
+ }
+ return null;
+ },
+
+
+ onDocumentMouseDown : function (e) {
+ if (!e) { e = window.event; }
+ var target = e.target || e.srcElement;
+
+ if (target._jscLinkedInstance) {
+ if (target._jscLinkedInstance.showOnClick) {
+ target._jscLinkedInstance.show();
+ }
+ } else if (target._jscControlName) {
+ jsc.onControlPointerStart(e, target, target._jscControlName, 'mouse');
+ } else {
+ // Mouse is outside the picker controls -> hide the color picker!
+ if (jsc.picker && jsc.picker.owner) {
+ jsc.picker.owner.hide();
+ }
+ }
+ },
+
+
+ onDocumentTouchStart : function (e) {
+ if (!e) { e = window.event; }
+ var target = e.target || e.srcElement;
+
+ if (target._jscLinkedInstance) {
+ if (target._jscLinkedInstance.showOnClick) {
+ target._jscLinkedInstance.show();
+ }
+ } else if (target._jscControlName) {
+ jsc.onControlPointerStart(e, target, target._jscControlName, 'touch');
+ } else {
+ if (jsc.picker && jsc.picker.owner) {
+ jsc.picker.owner.hide();
+ }
+ }
+ },
+
+
+ onWindowResize : function (e) {
+ jsc.redrawPosition();
+ },
+
+
+ onParentScroll : function (e) {
+ // hide the picker when one of the parent elements is scrolled
+ if (jsc.picker && jsc.picker.owner) {
+ jsc.picker.owner.hide();
+ }
+ },
+
+
+ _pointerMoveEvent : {
+ mouse: 'mousemove',
+ touch: 'touchmove'
+ },
+ _pointerEndEvent : {
+ mouse: 'mouseup',
+ touch: 'touchend'
+ },
+
+
+ _pointerOrigin : null,
+ _capturedTarget : null,
+
+
+ onControlPointerStart : function (e, target, controlName, pointerType) {
+ var thisObj = target._jscInstance;
+
+ jsc.preventDefault(e);
+ jsc.captureTarget(target);
+
+ var registerDragEvents = function (doc, offset) {
+ jsc.attachGroupEvent('drag', doc, jsc._pointerMoveEvent[pointerType],
+ jsc.onDocumentPointerMove(e, target, controlName, pointerType, offset));
+ jsc.attachGroupEvent('drag', doc, jsc._pointerEndEvent[pointerType],
+ jsc.onDocumentPointerEnd(e, target, controlName, pointerType));
+ };
+
+ registerDragEvents(document, [0, 0]);
+
+ if (window.parent && window.frameElement) {
+ var rect = window.frameElement.getBoundingClientRect();
+ var ofs = [-rect.left, -rect.top];
+ registerDragEvents(window.parent.window.document, ofs);
+ }
+
+ var abs = jsc.getAbsPointerPos(e);
+ var rel = jsc.getRelPointerPos(e);
+ jsc._pointerOrigin = {
+ x: abs.x - rel.x,
+ y: abs.y - rel.y
+ };
+
+ switch (controlName) {
+ case 'pad':
+ // if the slider is at the bottom, move it up
+ switch (jsc.getSliderComponent(thisObj)) {
+ case 's': if (thisObj.hsv[1] === 0) { thisObj.fromHSV(null, 100, null); }; break;
+ case 'v': if (thisObj.hsv[2] === 0) { thisObj.fromHSV(null, null, 100); }; break;
+ }
+ jsc.setPad(thisObj, e, 0, 0);
+ break;
+
+ case 'sld':
+ jsc.setSld(thisObj, e, 0);
+ break;
+ }
+
+ jsc.dispatchFineChange(thisObj);
+ },
+
+
+ onDocumentPointerMove : function (e, target, controlName, pointerType, offset) {
+ return function (e) {
+ var thisObj = target._jscInstance;
+ switch (controlName) {
+ case 'pad':
+ if (!e) { e = window.event; }
+ jsc.setPad(thisObj, e, offset[0], offset[1]);
+ jsc.dispatchFineChange(thisObj);
+ break;
+
+ case 'sld':
+ if (!e) { e = window.event; }
+ jsc.setSld(thisObj, e, offset[1]);
+ jsc.dispatchFineChange(thisObj);
+ break;
+ }
+ }
+ },
+
+
+ onDocumentPointerEnd : function (e, target, controlName, pointerType) {
+ return function (e) {
+ var thisObj = target._jscInstance;
+ jsc.detachGroupEvents('drag');
+ jsc.releaseTarget();
+ // Always dispatch changes after detaching outstanding mouse handlers,
+ // in case some user interaction will occur in user's onchange callback
+ // that would intrude with current mouse events
+ jsc.dispatchChange(thisObj);
+ };
+ },
+
+
+ dispatchChange : function (thisObj) {
+ if (thisObj.valueElement) {
+ if (jsc.isElementType(thisObj.valueElement, 'input')) {
+ jsc.fireEvent(thisObj.valueElement, 'change');
+ }
+ }
+ },
+
+
+ dispatchFineChange : function (thisObj) {
+ if (thisObj.onFineChange) {
+ var callback;
+ if (typeof thisObj.onFineChange === 'string') {
+ callback = new Function (thisObj.onFineChange);
+ } else {
+ callback = thisObj.onFineChange;
+ }
+ callback.call(thisObj);
+ }
+ },
+
+
+ setPad : function (thisObj, e, ofsX, ofsY) {
+ var pointerAbs = jsc.getAbsPointerPos(e);
+ var x = ofsX + pointerAbs.x - jsc._pointerOrigin.x - thisObj.padding - thisObj.insetWidth;
+ var y = ofsY + pointerAbs.y - jsc._pointerOrigin.y - thisObj.padding - thisObj.insetWidth;
+
+ var xVal = x * (360 / (thisObj.width - 1));
+ var yVal = 100 - (y * (100 / (thisObj.height - 1)));
+
+ switch (jsc.getPadYComponent(thisObj)) {
+ case 's': thisObj.fromHSV(xVal, yVal, null, jsc.leaveSld); break;
+ case 'v': thisObj.fromHSV(xVal, null, yVal, jsc.leaveSld); break;
+ }
+ },
+
+
+ setSld : function (thisObj, e, ofsY) {
+ var pointerAbs = jsc.getAbsPointerPos(e);
+ var y = ofsY + pointerAbs.y - jsc._pointerOrigin.y - thisObj.padding - thisObj.insetWidth;
+
+ var yVal = 100 - (y * (100 / (thisObj.height - 1)));
+
+ switch (jsc.getSliderComponent(thisObj)) {
+ case 's': thisObj.fromHSV(null, yVal, null, jsc.leavePad); break;
+ case 'v': thisObj.fromHSV(null, null, yVal, jsc.leavePad); break;
+ }
+ },
+
+
+ _vmlNS : 'jsc_vml_',
+ _vmlCSS : 'jsc_vml_css_',
+ _vmlReady : false,
+
+
+ initVML : function () {
+ if (!jsc._vmlReady) {
+ // init VML namespace
+ var doc = document;
+ if (!doc.namespaces[jsc._vmlNS]) {
+ doc.namespaces.add(jsc._vmlNS, 'urn:schemas-microsoft-com:vml');
+ }
+ if (!doc.styleSheets[jsc._vmlCSS]) {
+ var tags = ['shape', 'shapetype', 'group', 'background', 'path', 'formulas', 'handles', 'fill', 'stroke', 'shadow', 'textbox', 'textpath', 'imagedata', 'line', 'polyline', 'curve', 'rect', 'roundrect', 'oval', 'arc', 'image'];
+ var ss = doc.createStyleSheet();
+ ss.owningElement.id = jsc._vmlCSS;
+ for (var i = 0; i < tags.length; i += 1) {
+ ss.addRule(jsc._vmlNS + '\\:' + tags[i], 'behavior:url(#default#VML);');
+ }
+ }
+ jsc._vmlReady = true;
+ }
+ },
+
+
+ createPalette : function () {
+
+ var paletteObj = {
+ elm: null,
+ draw: null
+ };
+
+ if (jsc.isCanvasSupported) {
+ // Canvas implementation for modern browsers
+
+ var canvas = document.createElement('canvas');
+ var ctx = canvas.getContext('2d');
+
+ var drawFunc = function (width, height, type) {
+ canvas.width = width;
+ canvas.height = height;
+
+ ctx.clearRect(0, 0, canvas.width, canvas.height);
+
+ var hGrad = ctx.createLinearGradient(0, 0, canvas.width, 0);
+ hGrad.addColorStop(0 / 6, '#F00');
+ hGrad.addColorStop(1 / 6, '#FF0');
+ hGrad.addColorStop(2 / 6, '#0F0');
+ hGrad.addColorStop(3 / 6, '#0FF');
+ hGrad.addColorStop(4 / 6, '#00F');
+ hGrad.addColorStop(5 / 6, '#F0F');
+ hGrad.addColorStop(6 / 6, '#F00');
+
+ ctx.fillStyle = hGrad;
+ ctx.fillRect(0, 0, canvas.width, canvas.height);
+
+ var vGrad = ctx.createLinearGradient(0, 0, 0, canvas.height);
+ switch (type.toLowerCase()) {
+ case 's':
+ vGrad.addColorStop(0, 'rgba(255,255,255,0)');
+ vGrad.addColorStop(1, 'rgba(255,255,255,1)');
+ break;
+ case 'v':
+ vGrad.addColorStop(0, 'rgba(0,0,0,0)');
+ vGrad.addColorStop(1, 'rgba(0,0,0,1)');
+ break;
+ }
+ ctx.fillStyle = vGrad;
+ ctx.fillRect(0, 0, canvas.width, canvas.height);
+ };
+
+ paletteObj.elm = canvas;
+ paletteObj.draw = drawFunc;
+
+ } else {
+ // VML fallback for IE 7 and 8
+
+ jsc.initVML();
+
+ var vmlContainer = document.createElement('div');
+ vmlContainer.style.position = 'relative';
+ vmlContainer.style.overflow = 'hidden';
+
+ var hGrad = document.createElement(jsc._vmlNS + ':fill');
+ hGrad.type = 'gradient';
+ hGrad.method = 'linear';
+ hGrad.angle = '90';
+ hGrad.colors = '16.67% #F0F, 33.33% #00F, 50% #0FF, 66.67% #0F0, 83.33% #FF0'
+
+ var hRect = document.createElement(jsc._vmlNS + ':rect');
+ hRect.style.position = 'absolute';
+ hRect.style.left = -1 + 'px';
+ hRect.style.top = -1 + 'px';
+ hRect.stroked = false;
+ hRect.appendChild(hGrad);
+ vmlContainer.appendChild(hRect);
+
+ var vGrad = document.createElement(jsc._vmlNS + ':fill');
+ vGrad.type = 'gradient';
+ vGrad.method = 'linear';
+ vGrad.angle = '180';
+ vGrad.opacity = '0';
+
+ var vRect = document.createElement(jsc._vmlNS + ':rect');
+ vRect.style.position = 'absolute';
+ vRect.style.left = -1 + 'px';
+ vRect.style.top = -1 + 'px';
+ vRect.stroked = false;
+ vRect.appendChild(vGrad);
+ vmlContainer.appendChild(vRect);
+
+ var drawFunc = function (width, height, type) {
+ vmlContainer.style.width = width + 'px';
+ vmlContainer.style.height = height + 'px';
+
+ hRect.style.width =
+ vRect.style.width =
+ (width + 1) + 'px';
+ hRect.style.height =
+ vRect.style.height =
+ (height + 1) + 'px';
+
+ // Colors must be specified during every redraw, otherwise IE won't display
+ // a full gradient during a subsequential redraw
+ hGrad.color = '#F00';
+ hGrad.color2 = '#F00';
+
+ switch (type.toLowerCase()) {
+ case 's':
+ vGrad.color = vGrad.color2 = '#FFF';
+ break;
+ case 'v':
+ vGrad.color = vGrad.color2 = '#000';
+ break;
+ }
+ };
+
+ paletteObj.elm = vmlContainer;
+ paletteObj.draw = drawFunc;
+ }
+
+ return paletteObj;
+ },
+
+
+ createSliderGradient : function () {
+
+ var sliderObj = {
+ elm: null,
+ draw: null
+ };
+
+ if (jsc.isCanvasSupported) {
+ // Canvas implementation for modern browsers
+
+ var canvas = document.createElement('canvas');
+ var ctx = canvas.getContext('2d');
+
+ var drawFunc = function (width, height, color1, color2) {
+ canvas.width = width;
+ canvas.height = height;
+
+ ctx.clearRect(0, 0, canvas.width, canvas.height);
+
+ var grad = ctx.createLinearGradient(0, 0, 0, canvas.height);
+ grad.addColorStop(0, color1);
+ grad.addColorStop(1, color2);
+
+ ctx.fillStyle = grad;
+ ctx.fillRect(0, 0, canvas.width, canvas.height);
+ };
+
+ sliderObj.elm = canvas;
+ sliderObj.draw = drawFunc;
+
+ } else {
+ // VML fallback for IE 7 and 8
+
+ jsc.initVML();
+
+ var vmlContainer = document.createElement('div');
+ vmlContainer.style.position = 'relative';
+ vmlContainer.style.overflow = 'hidden';
+
+ var grad = document.createElement(jsc._vmlNS + ':fill');
+ grad.type = 'gradient';
+ grad.method = 'linear';
+ grad.angle = '180';
+
+ var rect = document.createElement(jsc._vmlNS + ':rect');
+ rect.style.position = 'absolute';
+ rect.style.left = -1 + 'px';
+ rect.style.top = -1 + 'px';
+ rect.stroked = false;
+ rect.appendChild(grad);
+ vmlContainer.appendChild(rect);
+
+ var drawFunc = function (width, height, color1, color2) {
+ vmlContainer.style.width = width + 'px';
+ vmlContainer.style.height = height + 'px';
+
+ rect.style.width = (width + 1) + 'px';
+ rect.style.height = (height + 1) + 'px';
+
+ grad.color = color1;
+ grad.color2 = color2;
+ };
+
+ sliderObj.elm = vmlContainer;
+ sliderObj.draw = drawFunc;
+ }
+
+ return sliderObj;
+ },
+
+
+ leaveValue : 1<<0,
+ leaveStyle : 1<<1,
+ leavePad : 1<<2,
+ leaveSld : 1<<3,
+
+
+ BoxShadow : (function () {
+ var BoxShadow = function (hShadow, vShadow, blur, spread, color, inset) {
+ this.hShadow = hShadow;
+ this.vShadow = vShadow;
+ this.blur = blur;
+ this.spread = spread;
+ this.color = color;
+ this.inset = !!inset;
+ };
+
+ BoxShadow.prototype.toString = function () {
+ var vals = [
+ Math.round(this.hShadow) + 'px',
+ Math.round(this.vShadow) + 'px',
+ Math.round(this.blur) + 'px',
+ Math.round(this.spread) + 'px',
+ this.color
+ ];
+ if (this.inset) {
+ vals.push('inset');
+ }
+ return vals.join(' ');
+ };
+
+ return BoxShadow;
+ })(),
+
+
+ //
+ // Usage:
+ // var myColor = new jscolor(<targetElement> [, <options>])
+ //
+
+ jscolor : function (targetElement, options) {
+
+ // General options
+ //
+ this.value = null; // initial HEX color. To change it later, use methods fromString(), fromHSV() and fromRGB()
+ this.valueElement = targetElement; // element that will be used to display and input the color code
+ this.styleElement = targetElement; // element that will preview the picked color using CSS backgroundColor
+ this.required = true; // whether the associated text <input> can be left empty
+ this.refine = true; // whether to refine the entered color code (e.g. uppercase it and remove whitespace)
+ this.hash = false; // whether to prefix the HEX color code with # symbol
+ this.uppercase = true; // whether to show the color code in upper case
+ this.onFineChange = null; // called instantly every time the color changes (value can be either a function or a string with javascript code)
+ this.activeClass = 'jscolor-active'; // class to be set to the target element when a picker window is open on it
+ this.overwriteImportant = false; // whether to overwrite colors of styleElement using !important
+ this.minS = 0; // min allowed saturation (0 - 100)
+ this.maxS = 100; // max allowed saturation (0 - 100)
+ this.minV = 0; // min allowed value (brightness) (0 - 100)
+ this.maxV = 100; // max allowed value (brightness) (0 - 100)
+
+ // Accessing the picked color
+ //
+ this.hsv = [0, 0, 100]; // read-only [0-360, 0-100, 0-100]
+ this.rgb = [255, 255, 255]; // read-only [0-255, 0-255, 0-255]
+
+ // Color Picker options
+ //
+ this.width = 181; // width of color palette (in px)
+ this.height = 101; // height of color palette (in px)
+ this.showOnClick = true; // whether to display the color picker when user clicks on its target element
+ this.mode = 'HSV'; // HSV | HVS | HS | HV - layout of the color picker controls
+ this.position = 'bottom'; // left | right | top | bottom - position relative to the target element
+ this.smartPosition = true; // automatically change picker position when there is not enough space for it
+ this.sliderSize = 16; // px
+ this.crossSize = 8; // px
+ this.closable = false; // whether to display the Close button
+ this.closeText = 'Close';
+ this.buttonColor = '#000000'; // CSS color
+ this.buttonHeight = 18; // px
+ this.padding = 12; // px
+ this.backgroundColor = '#FFFFFF'; // CSS color
+ this.borderWidth = 1; // px
+ this.borderColor = '#BBBBBB'; // CSS color
+ this.borderRadius = 8; // px
+ this.insetWidth = 1; // px
+ this.insetColor = '#BBBBBB'; // CSS color
+ this.shadow = true; // whether to display shadow
+ this.shadowBlur = 15; // px
+ this.shadowColor = 'rgba(0,0,0,0.2)'; // CSS color
+ this.pointerColor = '#4C4C4C'; // px
+ this.pointerBorderColor = '#FFFFFF'; // px
+ this.pointerBorderWidth = 1; // px
+ this.pointerThickness = 2; // px
+ this.zIndex = 1000;
+ this.container = null; // where to append the color picker (BODY element by default)
+
+
+ for (var opt in options) {
+ if (options.hasOwnProperty(opt)) {
+ this[opt] = options[opt];
+ }
+ }
+
+
+ this.hide = function () {
+ if (isPickerOwner()) {
+ detachPicker();
+ }
+ };
+
+
+ this.show = function () {
+ drawPicker();
+ };
+
+
+ this.redraw = function () {
+ if (isPickerOwner()) {
+ drawPicker();
+ }
+ };
+
+
+ this.importColor = function () {
+ if (!this.valueElement) {
+ this.exportColor();
+ } else {
+ if (jsc.isElementType(this.valueElement, 'input')) {
+ if (!this.refine) {
+ if (!this.fromString(this.valueElement.value, jsc.leaveValue)) {
+ if (this.styleElement) {
+ this.styleElement.style.backgroundImage = this.styleElement._jscOrigStyle.backgroundImage;
+ this.styleElement.style.backgroundColor = this.styleElement._jscOrigStyle.backgroundColor;
+ this.styleElement.style.color = this.styleElement._jscOrigStyle.color;
+ }
+ this.exportColor(jsc.leaveValue | jsc.leaveStyle);
+ }
+ } else if (!this.required && /^\s*$/.test(this.valueElement.value)) {
+ this.valueElement.value = '';
+ if (this.styleElement) {
+ this.styleElement.style.backgroundImage = this.styleElement._jscOrigStyle.backgroundImage;
+ this.styleElement.style.backgroundColor = this.styleElement._jscOrigStyle.backgroundColor;
+ this.styleElement.style.color = this.styleElement._jscOrigStyle.color;
+ }
+ this.exportColor(jsc.leaveValue | jsc.leaveStyle);
+
+ } else if (this.fromString(this.valueElement.value)) {
+ // managed to import color successfully from the value -> OK, don't do anything
+ } else {
+ this.exportColor();
+ }
+ } else {
+ // not an input element -> doesn't have any value
+ this.exportColor();
+ }
+ }
+ };
+
+
+ this.exportColor = function (flags) {
+ if (!(flags & jsc.leaveValue) && this.valueElement) {
+ var value = this.toString();
+ if (this.uppercase) { value = value.toUpperCase(); }
+ if (this.hash) { value = '#' + value; }
+
+ if (jsc.isElementType(this.valueElement, 'input')) {
+ this.valueElement.value = value;
+ } else {
+ this.valueElement.innerHTML = value;
+ }
+ }
+ if (!(flags & jsc.leaveStyle)) {
+ if (this.styleElement) {
+ var bgColor = '#' + this.toString();
+ var fgColor = this.isLight() ? '#000' : '#FFF';
+
+ this.styleElement.style.backgroundImage = 'none';
+ this.styleElement.style.backgroundColor = bgColor;
+ this.styleElement.style.color = fgColor;
+
+ if (this.overwriteImportant) {
+ this.styleElement.setAttribute('style',
+ 'background: ' + bgColor + ' !important; ' +
+ 'color: ' + fgColor + ' !important;'
+ );
+ }
+ }
+ }
+ if (!(flags & jsc.leavePad) && isPickerOwner()) {
+ redrawPad();
+ }
+ if (!(flags & jsc.leaveSld) && isPickerOwner()) {
+ redrawSld();
+ }
+ };
+
+
+ // h: 0-360
+ // s: 0-100
+ // v: 0-100
+ //
+ this.fromHSV = function (h, s, v, flags) { // null = don't change
+ if (h !== null) {
+ if (isNaN(h)) { return false; }
+ h = Math.max(0, Math.min(360, h));
+ }
+ if (s !== null) {
+ if (isNaN(s)) { return false; }
+ s = Math.max(0, Math.min(100, this.maxS, s), this.minS);
+ }
+ if (v !== null) {
+ if (isNaN(v)) { return false; }
+ v = Math.max(0, Math.min(100, this.maxV, v), this.minV);
+ }
+
+ this.rgb = HSV_RGB(
+ h===null ? this.hsv[0] : (this.hsv[0]=h),
+ s===null ? this.hsv[1] : (this.hsv[1]=s),
+ v===null ? this.hsv[2] : (this.hsv[2]=v)
+ );
+
+ this.exportColor(flags);
+ };
+
+
+ // r: 0-255
+ // g: 0-255
+ // b: 0-255
+ //
+ this.fromRGB = function (r, g, b, flags) { // null = don't change
+ if (r !== null) {
+ if (isNaN(r)) { return false; }
+ r = Math.max(0, Math.min(255, r));
+ }
+ if (g !== null) {
+ if (isNaN(g)) { return false; }
+ g = Math.max(0, Math.min(255, g));
+ }
+ if (b !== null) {
+ if (isNaN(b)) { return false; }
+ b = Math.max(0, Math.min(255, b));
+ }
+
+ var hsv = RGB_HSV(
+ r===null ? this.rgb[0] : r,
+ g===null ? this.rgb[1] : g,
+ b===null ? this.rgb[2] : b
+ );
+ if (hsv[0] !== null) {
+ this.hsv[0] = Math.max(0, Math.min(360, hsv[0]));
+ }
+ if (hsv[2] !== 0) {
+ this.hsv[1] = hsv[1]===null ? null : Math.max(0, this.minS, Math.min(100, this.maxS, hsv[1]));
+ }
+ this.hsv[2] = hsv[2]===null ? null : Math.max(0, this.minV, Math.min(100, this.maxV, hsv[2]));
+
+ // update RGB according to final HSV, as some values might be trimmed
+ var rgb = HSV_RGB(this.hsv[0], this.hsv[1], this.hsv[2]);
+ this.rgb[0] = rgb[0];
+ this.rgb[1] = rgb[1];
+ this.rgb[2] = rgb[2];
+
+ this.exportColor(flags);
+ };
+
+
+ this.fromString = function (str, flags) {
+ var m;
+ if (m = str.match(/^\W*([0-9A-F]{3}([0-9A-F]{3})?)\W*$/i)) {
+ // HEX notation
+ //
+
+ if (m[1].length === 6) {
+ // 6-char notation
+ this.fromRGB(
+ parseInt(m[1].substr(0,2),16),
+ parseInt(m[1].substr(2,2),16),
+ parseInt(m[1].substr(4,2),16),
+ flags
+ );
+ } else {
+ // 3-char notation
+ this.fromRGB(
+ parseInt(m[1].charAt(0) + m[1].charAt(0),16),
+ parseInt(m[1].charAt(1) + m[1].charAt(1),16),
+ parseInt(m[1].charAt(2) + m[1].charAt(2),16),
+ flags
+ );
+ }
+ return true;
+
+ } else if (m = str.match(/^\W*rgba?\(([^)]*)\)\W*$/i)) {
+ var params = m[1].split(',');
+ var re = /^\s*(\d*)(\.\d+)?\s*$/;
+ var mR, mG, mB;
+ if (
+ params.length >= 3 &&
+ (mR = params[0].match(re)) &&
+ (mG = params[1].match(re)) &&
+ (mB = params[2].match(re))
+ ) {
+ var r = parseFloat((mR[1] || '0') + (mR[2] || ''));
+ var g = parseFloat((mG[1] || '0') + (mG[2] || ''));
+ var b = parseFloat((mB[1] || '0') + (mB[2] || ''));
+ this.fromRGB(r, g, b, flags);
+ return true;
+ }
+ }
+ return false;
+ };
+
+
+ this.toString = function () {
+ return (
+ (0x100 | Math.round(this.rgb[0])).toString(16).substr(1) +
+ (0x100 | Math.round(this.rgb[1])).toString(16).substr(1) +
+ (0x100 | Math.round(this.rgb[2])).toString(16).substr(1)
+ );
+ };
+
+
+ this.toHEXString = function () {
+ return '#' + this.toString().toUpperCase();
+ };
+
+
+ this.toRGBString = function () {
+ return ('rgb(' +
+ Math.round(this.rgb[0]) + ',' +
+ Math.round(this.rgb[1]) + ',' +
+ Math.round(this.rgb[2]) + ')'
+ );
+ };
+
+
+ this.isLight = function () {
+ return (
+ 0.213 * this.rgb[0] +
+ 0.715 * this.rgb[1] +
+ 0.072 * this.rgb[2] >
+ 255 / 2
+ );
+ };
+
+
+ this._processParentElementsInDOM = function () {
+ if (this._linkedElementsProcessed) { return; }
+ this._linkedElementsProcessed = true;
+
+ var elm = this.targetElement;
+ do {
+ // If the target element or one of its parent nodes has fixed position,
+ // then use fixed positioning instead
+ //
+ // Note: In Firefox, getComputedStyle returns null in a hidden iframe,
+ // that's why we need to check if the returned style object is non-empty
+ var currStyle = jsc.getStyle(elm);
+ if (currStyle && currStyle.position.toLowerCase() === 'fixed') {
+ this.fixed = true;
+ }
+
+ if (elm !== this.targetElement) {
+ // Ensure to attach onParentScroll only once to each parent element
+ // (multiple targetElements can share the same parent nodes)
+ //
+ // Note: It's not just offsetParents that can be scrollable,
+ // that's why we loop through all parent nodes
+ if (!elm._jscEventsAttached) {
+ jsc.attachEvent(elm, 'scroll', jsc.onParentScroll);
+ elm._jscEventsAttached = true;
+ }
+ }
+ } while ((elm = elm.parentNode) && !jsc.isElementType(elm, 'body'));
+ };
+
+
+ // r: 0-255
+ // g: 0-255
+ // b: 0-255
+ //
+ // returns: [ 0-360, 0-100, 0-100 ]
+ //
+ function RGB_HSV (r, g, b) {
+ r /= 255;
+ g /= 255;
+ b /= 255;
+ var n = Math.min(Math.min(r,g),b);
+ var v = Math.max(Math.max(r,g),b);
+ var m = v - n;
+ if (m === 0) { return [ null, 0, 100 * v ]; }
+ var h = r===n ? 3+(b-g)/m : (g===n ? 5+(r-b)/m : 1+(g-r)/m);
+ return [
+ 60 * (h===6?0:h),
+ 100 * (m/v),
+ 100 * v
+ ];
+ }
+
+
+ // h: 0-360
+ // s: 0-100
+ // v: 0-100
+ //
+ // returns: [ 0-255, 0-255, 0-255 ]
+ //
+ function HSV_RGB (h, s, v) {
+ var u = 255 * (v / 100);
+
+ if (h === null) {
+ return [ u, u, u ];
+ }
+
+ h /= 60;
+ s /= 100;
+
+ var i = Math.floor(h);
+ var f = i%2 ? h-i : 1-(h-i);
+ var m = u * (1 - s);
+ var n = u * (1 - s * f);
+ switch (i) {
+ case 6:
+ case 0: return [u,n,m];
+ case 1: return [n,u,m];
+ case 2: return [m,u,n];
+ case 3: return [m,n,u];
+ case 4: return [n,m,u];
+ case 5: return [u,m,n];
+ }
+ }
+
+
+ function detachPicker () {
+ jsc.unsetClass(THIS.targetElement, THIS.activeClass);
+ jsc.picker.wrap.parentNode.removeChild(jsc.picker.wrap);
+ delete jsc.picker.owner;
+ }
+
+
+ function drawPicker () {
+
+ // At this point, when drawing the picker, we know what the parent elements are
+ // and we can do all related DOM operations, such as registering events on them
+ // or checking their positioning
+ THIS._processParentElementsInDOM();
+
+ if (!jsc.picker) {
+ jsc.picker = {
+ owner: null,
+ wrap : document.createElement('div'),
+ box : document.createElement('div'),
+ boxS : document.createElement('div'), // shadow area
+ boxB : document.createElement('div'), // border
+ pad : document.createElement('div'),
+ padB : document.createElement('div'), // border
+ padM : document.createElement('div'), // mouse/touch area
+ padPal : jsc.createPalette(),
+ cross : document.createElement('div'),
+ crossBY : document.createElement('div'), // border Y
+ crossBX : document.createElement('div'), // border X
+ crossLY : document.createElement('div'), // line Y
+ crossLX : document.createElement('div'), // line X
+ sld : document.createElement('div'),
+ sldB : document.createElement('div'), // border
+ sldM : document.createElement('div'), // mouse/touch area
+ sldGrad : jsc.createSliderGradient(),
+ sldPtrS : document.createElement('div'), // slider pointer spacer
+ sldPtrIB : document.createElement('div'), // slider pointer inner border
+ sldPtrMB : document.createElement('div'), // slider pointer middle border
+ sldPtrOB : document.createElement('div'), // slider pointer outer border
+ btn : document.createElement('div'),
+ btnT : document.createElement('span') // text
+ };
+
+ jsc.picker.pad.appendChild(jsc.picker.padPal.elm);
+ jsc.picker.padB.appendChild(jsc.picker.pad);
+ jsc.picker.cross.appendChild(jsc.picker.crossBY);
+ jsc.picker.cross.appendChild(jsc.picker.crossBX);
+ jsc.picker.cross.appendChild(jsc.picker.crossLY);
+ jsc.picker.cross.appendChild(jsc.picker.crossLX);
+ jsc.picker.padB.appendChild(jsc.picker.cross);
+ jsc.picker.box.appendChild(jsc.picker.padB);
+ jsc.picker.box.appendChild(jsc.picker.padM);
+
+ jsc.picker.sld.appendChild(jsc.picker.sldGrad.elm);
+ jsc.picker.sldB.appendChild(jsc.picker.sld);
+ jsc.picker.sldB.appendChild(jsc.picker.sldPtrOB);
+ jsc.picker.sldPtrOB.appendChild(jsc.picker.sldPtrMB);
+ jsc.picker.sldPtrMB.appendChild(jsc.picker.sldPtrIB);
+ jsc.picker.sldPtrIB.appendChild(jsc.picker.sldPtrS);
+ jsc.picker.box.appendChild(jsc.picker.sldB);
+ jsc.picker.box.appendChild(jsc.picker.sldM);
+
+ jsc.picker.btn.appendChild(jsc.picker.btnT);
+ jsc.picker.box.appendChild(jsc.picker.btn);
+
+ jsc.picker.boxB.appendChild(jsc.picker.box);
+ jsc.picker.wrap.appendChild(jsc.picker.boxS);
+ jsc.picker.wrap.appendChild(jsc.picker.boxB);
+ }
+
+ var p = jsc.picker;
+
+ var displaySlider = !!jsc.getSliderComponent(THIS);
+ var dims = jsc.getPickerDims(THIS);
+ var crossOuterSize = (2 * THIS.pointerBorderWidth + THIS.pointerThickness + 2 * THIS.crossSize);
+ var padToSliderPadding = jsc.getPadToSliderPadding(THIS);
+ var borderRadius = Math.min(
+ THIS.borderRadius,
+ Math.round(THIS.padding * Math.PI)); // px
+ var padCursor = 'crosshair';
+
+ // wrap
+ p.wrap.style.clear = 'both';
+ p.wrap.style.width = (dims[0] + 2 * THIS.borderWidth) + 'px';
+ p.wrap.style.height = (dims[1] + 2 * THIS.borderWidth) + 'px';
+ p.wrap.style.zIndex = THIS.zIndex;
+
+ // picker
+ p.box.style.width = dims[0] + 'px';
+ p.box.style.height = dims[1] + 'px';
+
+ p.boxS.style.position = 'absolute';
+ p.boxS.style.left = '0';
+ p.boxS.style.top = '0';
+ p.boxS.style.width = '100%';
+ p.boxS.style.height = '100%';
+ jsc.setBorderRadius(p.boxS, borderRadius + 'px');
+
+ // picker border
+ p.boxB.style.position = 'relative';
+ p.boxB.style.border = THIS.borderWidth + 'px solid';
+ p.boxB.style.borderColor = THIS.borderColor;
+ p.boxB.style.background = THIS.backgroundColor;
+ jsc.setBorderRadius(p.boxB, borderRadius + 'px');
+
+ // IE hack:
+ // If the element is transparent, IE will trigger the event on the elements under it,
+ // e.g. on Canvas or on elements with border
+ p.padM.style.background =
+ p.sldM.style.background =
+ '#FFF';
+ jsc.setStyle(p.padM, 'opacity', '0');
+ jsc.setStyle(p.sldM, 'opacity', '0');
+
+ // pad
+ p.pad.style.position = 'relative';
+ p.pad.style.width = THIS.width + 'px';
+ p.pad.style.height = THIS.height + 'px';
+
+ // pad palettes (HSV and HVS)
+ p.padPal.draw(THIS.width, THIS.height, jsc.getPadYComponent(THIS));
+
+ // pad border
+ p.padB.style.position = 'absolute';
+ p.padB.style.left = THIS.padding + 'px';
+ p.padB.style.top = THIS.padding + 'px';
+ p.padB.style.border = THIS.insetWidth + 'px solid';
+ p.padB.style.borderColor = THIS.insetColor;
+
+ // pad mouse area
+ p.padM._jscInstance = THIS;
+ p.padM._jscControlName = 'pad';
+ p.padM.style.position = 'absolute';
+ p.padM.style.left = '0';
+ p.padM.style.top = '0';
+ p.padM.style.width = (THIS.padding + 2 * THIS.insetWidth + THIS.width + padToSliderPadding / 2) + 'px';
+ p.padM.style.height = dims[1] + 'px';
+ p.padM.style.cursor = padCursor;
+
+ // pad cross
+ p.cross.style.position = 'absolute';
+ p.cross.style.left =
+ p.cross.style.top =
+ '0';
+ p.cross.style.width =
+ p.cross.style.height =
+ crossOuterSize + 'px';
+
+ // pad cross border Y and X
+ p.crossBY.style.position =
+ p.crossBX.style.position =
+ 'absolute';
+ p.crossBY.style.background =
+ p.crossBX.style.background =
+ THIS.pointerBorderColor;
+ p.crossBY.style.width =
+ p.crossBX.style.height =
+ (2 * THIS.pointerBorderWidth + THIS.pointerThickness) + 'px';
+ p.crossBY.style.height =
+ p.crossBX.style.width =
+ crossOuterSize + 'px';
+ p.crossBY.style.left =
+ p.crossBX.style.top =
+ (Math.floor(crossOuterSize / 2) - Math.floor(THIS.pointerThickness / 2) - THIS.pointerBorderWidth) + 'px';
+ p.crossBY.style.top =
+ p.crossBX.style.left =
+ '0';
+
+ // pad cross line Y and X
+ p.crossLY.style.position =
+ p.crossLX.style.position =
+ 'absolute';
+ p.crossLY.style.background =
+ p.crossLX.style.background =
+ THIS.pointerColor;
+ p.crossLY.style.height =
+ p.crossLX.style.width =
+ (crossOuterSize - 2 * THIS.pointerBorderWidth) + 'px';
+ p.crossLY.style.width =
+ p.crossLX.style.height =
+ THIS.pointerThickness + 'px';
+ p.crossLY.style.left =
+ p.crossLX.style.top =
+ (Math.floor(crossOuterSize / 2) - Math.floor(THIS.pointerThickness / 2)) + 'px';
+ p.crossLY.style.top =
+ p.crossLX.style.left =
+ THIS.pointerBorderWidth + 'px';
+
+ // slider
+ p.sld.style.overflow = 'hidden';
+ p.sld.style.width = THIS.sliderSize + 'px';
+ p.sld.style.height = THIS.height + 'px';
+
+ // slider gradient
+ p.sldGrad.draw(THIS.sliderSize, THIS.height, '#000', '#000');
+
+ // slider border
+ p.sldB.style.display = displaySlider ? 'block' : 'none';
+ p.sldB.style.position = 'absolute';
+ p.sldB.style.right = THIS.padding + 'px';
+ p.sldB.style.top = THIS.padding + 'px';
+ p.sldB.style.border = THIS.insetWidth + 'px solid';
+ p.sldB.style.borderColor = THIS.insetColor;
+
+ // slider mouse area
+ p.sldM._jscInstance = THIS;
+ p.sldM._jscControlName = 'sld';
+ p.sldM.style.display = displaySlider ? 'block' : 'none';
+ p.sldM.style.position = 'absolute';
+ p.sldM.style.right = '0';
+ p.sldM.style.top = '0';
+ p.sldM.style.width = (THIS.sliderSize + padToSliderPadding / 2 + THIS.padding + 2 * THIS.insetWidth) + 'px';
+ p.sldM.style.height = dims[1] + 'px';
+ p.sldM.style.cursor = 'default';
+
+ // slider pointer inner and outer border
+ p.sldPtrIB.style.border =
+ p.sldPtrOB.style.border =
+ THIS.pointerBorderWidth + 'px solid ' + THIS.pointerBorderColor;
+
+ // slider pointer outer border
+ p.sldPtrOB.style.position = 'absolute';
+ p.sldPtrOB.style.left = -(2 * THIS.pointerBorderWidth + THIS.pointerThickness) + 'px';
+ p.sldPtrOB.style.top = '0';
+
+ // slider pointer middle border
+ p.sldPtrMB.style.border = THIS.pointerThickness + 'px solid ' + THIS.pointerColor;
+
+ // slider pointer spacer
+ p.sldPtrS.style.width = THIS.sliderSize + 'px';
+ p.sldPtrS.style.height = sliderPtrSpace + 'px';
+
+ // the Close button
+ function setBtnBorder () {
+ var insetColors = THIS.insetColor.split(/\s+/);
+ var outsetColor = insetColors.length < 2 ? insetColors[0] : insetColors[1] + ' ' + insetColors[0] + ' ' + insetColors[0] + ' ' + insetColors[1];
+ p.btn.style.borderColor = outsetColor;
+ }
+ p.btn.style.display = THIS.closable ? 'block' : 'none';
+ p.btn.style.position = 'absolute';
+ p.btn.style.left = THIS.padding + 'px';
+ p.btn.style.bottom = THIS.padding + 'px';
+ p.btn.style.padding = '0 15px';
+ p.btn.style.height = THIS.buttonHeight + 'px';
+ p.btn.style.border = THIS.insetWidth + 'px solid';
+ setBtnBorder();
+ p.btn.style.color = THIS.buttonColor;
+ p.btn.style.font = '12px sans-serif';
+ p.btn.style.textAlign = 'center';
+ try {
+ p.btn.style.cursor = 'pointer';
+ } catch(eOldIE) {
+ p.btn.style.cursor = 'hand';
+ }
+ p.btn.onmousedown = function () {
+ THIS.hide();
+ };
+ p.btnT.style.lineHeight = THIS.buttonHeight + 'px';
+ p.btnT.innerHTML = '';
+ p.btnT.appendChild(document.createTextNode(THIS.closeText));
+
+ // place pointers
+ redrawPad();
+ redrawSld();
+
+ // If we are changing the owner without first closing the picker,
+ // make sure to first deal with the old owner
+ if (jsc.picker.owner && jsc.picker.owner !== THIS) {
+ jsc.unsetClass(jsc.picker.owner.targetElement, THIS.activeClass);
+ }
+
+ // Set the new picker owner
+ jsc.picker.owner = THIS;
+
+ // The redrawPosition() method needs picker.owner to be set, that's why we call it here,
+ // after setting the owner
+ if (jsc.isElementType(container, 'body')) {
+ jsc.redrawPosition();
+ } else {
+ jsc._drawPosition(THIS, 0, 0, 'relative', false);
+ }
+
+ if (p.wrap.parentNode != container) {
+ container.appendChild(p.wrap);
+ }
+
+ jsc.setClass(THIS.targetElement, THIS.activeClass);
+ }
+
+
+ function redrawPad () {
+ // redraw the pad pointer
+ switch (jsc.getPadYComponent(THIS)) {
+ case 's': var yComponent = 1; break;
+ case 'v': var yComponent = 2; break;
+ }
+ var x = Math.round((THIS.hsv[0] / 360) * (THIS.width - 1));
+ var y = Math.round((1 - THIS.hsv[yComponent] / 100) * (THIS.height - 1));
+ var crossOuterSize = (2 * THIS.pointerBorderWidth + THIS.pointerThickness + 2 * THIS.crossSize);
+ var ofs = -Math.floor(crossOuterSize / 2);
+ jsc.picker.cross.style.left = (x + ofs) + 'px';
+ jsc.picker.cross.style.top = (y + ofs) + 'px';
+
+ // redraw the slider
+ switch (jsc.getSliderComponent(THIS)) {
+ case 's':
+ var rgb1 = HSV_RGB(THIS.hsv[0], 100, THIS.hsv[2]);
+ var rgb2 = HSV_RGB(THIS.hsv[0], 0, THIS.hsv[2]);
+ var color1 = 'rgb(' +
+ Math.round(rgb1[0]) + ',' +
+ Math.round(rgb1[1]) + ',' +
+ Math.round(rgb1[2]) + ')';
+ var color2 = 'rgb(' +
+ Math.round(rgb2[0]) + ',' +
+ Math.round(rgb2[1]) + ',' +
+ Math.round(rgb2[2]) + ')';
+ jsc.picker.sldGrad.draw(THIS.sliderSize, THIS.height, color1, color2);
+ break;
+ case 'v':
+ var rgb = HSV_RGB(THIS.hsv[0], THIS.hsv[1], 100);
+ var color1 = 'rgb(' +
+ Math.round(rgb[0]) + ',' +
+ Math.round(rgb[1]) + ',' +
+ Math.round(rgb[2]) + ')';
+ var color2 = '#000';
+ jsc.picker.sldGrad.draw(THIS.sliderSize, THIS.height, color1, color2);
+ break;
+ }
+ }
+
+
+ function redrawSld () {
+ var sldComponent = jsc.getSliderComponent(THIS);
+ if (sldComponent) {
+ // redraw the slider pointer
+ switch (sldComponent) {
+ case 's': var yComponent = 1; break;
+ case 'v': var yComponent = 2; break;
+ }
+ var y = Math.round((1 - THIS.hsv[yComponent] / 100) * (THIS.height - 1));
+ jsc.picker.sldPtrOB.style.top = (y - (2 * THIS.pointerBorderWidth + THIS.pointerThickness) - Math.floor(sliderPtrSpace / 2)) + 'px';
+ }
+ }
+
+
+ function isPickerOwner () {
+ return jsc.picker && jsc.picker.owner === THIS;
+ }
+
+
+ function blurValue () {
+ THIS.importColor();
+ }
+
+
+ // Find the target element
+ if (typeof targetElement === 'string') {
+ var id = targetElement;
+ var elm = document.getElementById(id);
+ if (elm) {
+ this.targetElement = elm;
+ } else {
+ jsc.warn('Could not find target element with ID \'' + id + '\'');
+ }
+ } else if (targetElement) {
+ this.targetElement = targetElement;
+ } else {
+ jsc.warn('Invalid target element: \'' + targetElement + '\'');
+ }
+
+ if (this.targetElement._jscLinkedInstance) {
+ jsc.warn('Cannot link jscolor twice to the same element. Skipping.');
+ return;
+ }
+ this.targetElement._jscLinkedInstance = this;
+
+ // Find the value element
+ this.valueElement = jsc.fetchElement(this.valueElement);
+ // Find the style element
+ this.styleElement = jsc.fetchElement(this.styleElement);
+
+ var THIS = this;
+ var container =
+ this.container ?
+ jsc.fetchElement(this.container) :
+ document.getElementsByTagName('body')[0];
+ var sliderPtrSpace = 3; // px
+
+ // For BUTTON elements it's important to stop them from sending the form when clicked
+ // (e.g. in Safari)
+ if (jsc.isElementType(this.targetElement, 'button')) {
+ if (this.targetElement.onclick) {
+ var origCallback = this.targetElement.onclick;
+ this.targetElement.onclick = function (evt) {
+ origCallback.call(this, evt);
+ return false;
+ };
+ } else {
+ this.targetElement.onclick = function () { return false; };
+ }
+ }
+
+ /*
+ var elm = this.targetElement;
+ do {
+ // If the target element or one of its offsetParents has fixed position,
+ // then use fixed positioning instead
+ //
+ // Note: In Firefox, getComputedStyle returns null in a hidden iframe,
+ // that's why we need to check if the returned style object is non-empty
+ var currStyle = jsc.getStyle(elm);
+ if (currStyle && currStyle.position.toLowerCase() === 'fixed') {
+ this.fixed = true;
+ }
+
+ if (elm !== this.targetElement) {
+ // attach onParentScroll so that we can recompute the picker position
+ // when one of the offsetParents is scrolled
+ if (!elm._jscEventsAttached) {
+ jsc.attachEvent(elm, 'scroll', jsc.onParentScroll);
+ elm._jscEventsAttached = true;
+ }
+ }
+ } while ((elm = elm.offsetParent) && !jsc.isElementType(elm, 'body'));
+ */
+
+ // valueElement
+ if (this.valueElement) {
+ if (jsc.isElementType(this.valueElement, 'input')) {
+ var updateField = function () {
+ THIS.fromString(THIS.valueElement.value, jsc.leaveValue);
+ jsc.dispatchFineChange(THIS);
+ };
+ jsc.attachEvent(this.valueElement, 'keyup', updateField);
+ jsc.attachEvent(this.valueElement, 'input', updateField);
+ jsc.attachEvent(this.valueElement, 'blur', blurValue);
+ this.valueElement.setAttribute('autocomplete', 'off');
+ }
+ }
+
+ // styleElement
+ if (this.styleElement) {
+ this.styleElement._jscOrigStyle = {
+ backgroundImage : this.styleElement.style.backgroundImage,
+ backgroundColor : this.styleElement.style.backgroundColor,
+ color : this.styleElement.style.color
+ };
+ }
+
+ if (this.value) {
+ // Try to set the color from the .value option and if unsuccessful,
+ // export the current color
+ this.fromString(this.value) || this.exportColor();
+ } else {
+ this.importColor();
+ }
+ }
+
+};
+
+
+//================================
+// Public properties and methods
+//================================
+
+
+// By default, search for all elements with class="jscolor" and install a color picker on them.
+//
+// You can change what class name will be looked for by setting the property jscolor.lookupClass
+// anywhere in your HTML document. To completely disable the automatic lookup, set it to null.
+//
+jsc.jscolor.lookupClass = 'jscolor';
+
+
+jsc.jscolor.installByClassName = function (className) {
+ var inputElms = document.getElementsByTagName('input');
+ var buttonElms = document.getElementsByTagName('button');
+
+ jsc.tryInstallOnElements(inputElms, className);
+ jsc.tryInstallOnElements(buttonElms, className);
+};
+
+
+jsc.register();
+
+
+return jsc.jscolor;
+
+
+})(); }
diff --git a/wqflask/wqflask/static/new/js_external/md5.min.js b/wqflask/wqflask/static/new/js_external/md5.min.js new file mode 100644 index 00000000..7d8a3f53 --- /dev/null +++ b/wqflask/wqflask/static/new/js_external/md5.min.js @@ -0,0 +1,2 @@ +!function(n){"use strict";function t(n,t){var r=(65535&n)+(65535&t);return(n>>16)+(t>>16)+(r>>16)<<16|65535&r}function r(n,t){return n<<t|n>>>32-t}function e(n,e,o,u,c,f){return t(r(t(t(e,n),t(u,f)),c),o)}function o(n,t,r,o,u,c,f){return e(t&r|~t&o,n,t,u,c,f)}function u(n,t,r,o,u,c,f){return e(t&o|r&~o,n,t,u,c,f)}function c(n,t,r,o,u,c,f){return e(t^r^o,n,t,u,c,f)}function f(n,t,r,o,u,c,f){return e(r^(t|~o),n,t,u,c,f)}function i(n,r){n[r>>5]|=128<<r%32,n[14+(r+64>>>9<<4)]=r;var e,i,a,d,h,l=1732584193,g=-271733879,v=-1732584194,m=271733878;for(e=0;e<n.length;e+=16)i=l,a=g,d=v,h=m,g=f(g=f(g=f(g=f(g=c(g=c(g=c(g=c(g=u(g=u(g=u(g=u(g=o(g=o(g=o(g=o(g,v=o(v,m=o(m,l=o(l,g,v,m,n[e],7,-680876936),g,v,n[e+1],12,-389564586),l,g,n[e+2],17,606105819),m,l,n[e+3],22,-1044525330),v=o(v,m=o(m,l=o(l,g,v,m,n[e+4],7,-176418897),g,v,n[e+5],12,1200080426),l,g,n[e+6],17,-1473231341),m,l,n[e+7],22,-45705983),v=o(v,m=o(m,l=o(l,g,v,m,n[e+8],7,1770035416),g,v,n[e+9],12,-1958414417),l,g,n[e+10],17,-42063),m,l,n[e+11],22,-1990404162),v=o(v,m=o(m,l=o(l,g,v,m,n[e+12],7,1804603682),g,v,n[e+13],12,-40341101),l,g,n[e+14],17,-1502002290),m,l,n[e+15],22,1236535329),v=u(v,m=u(m,l=u(l,g,v,m,n[e+1],5,-165796510),g,v,n[e+6],9,-1069501632),l,g,n[e+11],14,643717713),m,l,n[e],20,-373897302),v=u(v,m=u(m,l=u(l,g,v,m,n[e+5],5,-701558691),g,v,n[e+10],9,38016083),l,g,n[e+15],14,-660478335),m,l,n[e+4],20,-405537848),v=u(v,m=u(m,l=u(l,g,v,m,n[e+9],5,568446438),g,v,n[e+14],9,-1019803690),l,g,n[e+3],14,-187363961),m,l,n[e+8],20,1163531501),v=u(v,m=u(m,l=u(l,g,v,m,n[e+13],5,-1444681467),g,v,n[e+2],9,-51403784),l,g,n[e+7],14,1735328473),m,l,n[e+12],20,-1926607734),v=c(v,m=c(m,l=c(l,g,v,m,n[e+5],4,-378558),g,v,n[e+8],11,-2022574463),l,g,n[e+11],16,1839030562),m,l,n[e+14],23,-35309556),v=c(v,m=c(m,l=c(l,g,v,m,n[e+1],4,-1530992060),g,v,n[e+4],11,1272893353),l,g,n[e+7],16,-155497632),m,l,n[e+10],23,-1094730640),v=c(v,m=c(m,l=c(l,g,v,m,n[e+13],4,681279174),g,v,n[e],11,-358537222),l,g,n[e+3],16,-722521979),m,l,n[e+6],23,76029189),v=c(v,m=c(m,l=c(l,g,v,m,n[e+9],4,-640364487),g,v,n[e+12],11,-421815835),l,g,n[e+15],16,530742520),m,l,n[e+2],23,-995338651),v=f(v,m=f(m,l=f(l,g,v,m,n[e],6,-198630844),g,v,n[e+7],10,1126891415),l,g,n[e+14],15,-1416354905),m,l,n[e+5],21,-57434055),v=f(v,m=f(m,l=f(l,g,v,m,n[e+12],6,1700485571),g,v,n[e+3],10,-1894986606),l,g,n[e+10],15,-1051523),m,l,n[e+1],21,-2054922799),v=f(v,m=f(m,l=f(l,g,v,m,n[e+8],6,1873313359),g,v,n[e+15],10,-30611744),l,g,n[e+6],15,-1560198380),m,l,n[e+13],21,1309151649),v=f(v,m=f(m,l=f(l,g,v,m,n[e+4],6,-145523070),g,v,n[e+11],10,-1120210379),l,g,n[e+2],15,718787259),m,l,n[e+9],21,-343485551),l=t(l,i),g=t(g,a),v=t(v,d),m=t(m,h);return[l,g,v,m]}function a(n){var t,r="",e=32*n.length;for(t=0;t<e;t+=8)r+=String.fromCharCode(n[t>>5]>>>t%32&255);return r}function d(n){var t,r=[];for(r[(n.length>>2)-1]=void 0,t=0;t<r.length;t+=1)r[t]=0;var e=8*n.length;for(t=0;t<e;t+=8)r[t>>5]|=(255&n.charCodeAt(t/8))<<t%32;return r}function h(n){return a(i(d(n),8*n.length))}function l(n,t){var r,e,o=d(n),u=[],c=[];for(u[15]=c[15]=void 0,o.length>16&&(o=i(o,8*n.length)),r=0;r<16;r+=1)u[r]=909522486^o[r],c[r]=1549556828^o[r];return e=i(u.concat(d(t)),512+8*t.length),a(i(c.concat(e),640))}function g(n){var t,r,e="";for(r=0;r<n.length;r+=1)t=n.charCodeAt(r),e+="0123456789abcdef".charAt(t>>>4&15)+"0123456789abcdef".charAt(15&t);return e}function v(n){return unescape(encodeURIComponent(n))}function m(n){return h(v(n))}function p(n){return g(m(n))}function s(n,t){return l(v(n),v(t))}function C(n,t){return g(s(n,t))}function A(n,t,r){return t?r?s(t,n):C(t,n):r?m(n):p(n)}"function"==typeof define&&define.amd?define(function(){return A}):"object"==typeof module&&module.exports?module.exports=A:n.md5=A}(this); +//# sourceMappingURL=md5.min.js.map
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/js_external/plotly-latest.min.js b/wqflask/wqflask/static/new/js_external/plotly-latest.min.js index 6297b2c2..dde07672 100644 --- a/wqflask/wqflask/static/new/js_external/plotly-latest.min.js +++ b/wqflask/wqflask/static/new/js_external/plotly-latest.min.js @@ -1,80 +1,7 @@ -/** -* plotly.js v1.31.0 -* Copyright 2012-2017, Plotly, Inc. -* All rights reserved. -* Licensed under the MIT license -*/ -!function(t){if("object"==typeof exports&&"undefined"!=typeof module)module.exports=t();else if("function"==typeof define&&define.amd)define([],t);else{var e;e="undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:this,e.Plotly=t()}}(function(){var t;return function t(e,r,n){function i(o,s){if(!r[o]){if(!e[o]){var l="function"==typeof require&&require;if(!s&&l)return l(o,!0);if(a)return a(o,!0);var u=new Error("Cannot find module '"+o+"'");throw u.code="MODULE_NOT_FOUND",u}var c=r[o]={exports:{}};e[o][0].call(c.exports,function(t){var r=e[o][1][t];return i(r||t)},c,c.exports,t,e,r,n)}return r[o].exports}for(var a="function"==typeof require&&require,o=0;o<n.length;o++)i(n[o]);return i}({1:[function(t,e,r){"use strict";var n=t("../src/lib"),i={"X,X div":"font-family:'Open Sans', verdana, arial, sans-serif;margin:0;padding:0;","X input,X button":"font-family:'Open Sans', verdana, arial, sans-serif;","X input:focus,X button:focus":"outline:none;","X a":"text-decoration:none;","X a:hover":"text-decoration:none;","X .crisp":"shape-rendering:crispEdges;","X .user-select-none":"-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;user-select:none;","X svg":"overflow:hidden;","X svg a":"fill:#447adb;","X svg a:hover":"fill:#3c6dc5;","X .main-svg":"position:absolute;top:0;left:0;pointer-events:none;","X .main-svg .draglayer":"pointer-events:all;","X .cursor-default":"cursor:default;","X .cursor-pointer":"cursor:pointer;","X .cursor-crosshair":"cursor:crosshair;","X .cursor-move":"cursor:move;","X .cursor-col-resize":"cursor:col-resize;","X .cursor-row-resize":"cursor:row-resize;","X .cursor-ns-resize":"cursor:ns-resize;","X .cursor-ew-resize":"cursor:ew-resize;","X .cursor-sw-resize":"cursor:sw-resize;","X .cursor-s-resize":"cursor:s-resize;","X .cursor-se-resize":"cursor:se-resize;","X .cursor-w-resize":"cursor:w-resize;","X .cursor-e-resize":"cursor:e-resize;","X .cursor-nw-resize":"cursor:nw-resize;","X .cursor-n-resize":"cursor:n-resize;","X .cursor-ne-resize":"cursor:ne-resize;","X .modebar":"position:absolute;top:2px;right:2px;z-index:1001;background:rgba(255,255,255,0.7);","X .modebar--hover":"opacity:0;-webkit-transition:opacity 0.3s ease 0s;-moz-transition:opacity 0.3s ease 0s;-ms-transition:opacity 0.3s ease 0s;-o-transition:opacity 0.3s ease 0s;transition:opacity 0.3s ease 0s;","X:hover .modebar--hover":"opacity:1;","X .modebar-group":"float:left;display:inline-block;box-sizing:border-box;margin-left:8px;position:relative;vertical-align:middle;white-space:nowrap;","X .modebar-group:first-child":"margin-left:0px;","X .modebar-btn":"position:relative;font-size:16px;padding:3px 4px;cursor:pointer;line-height:normal;box-sizing:border-box;","X .modebar-btn svg":"position:relative;top:2px;","X .modebar-btn path":"fill:rgba(0,31,95,0.3);","X .modebar-btn.active path,X .modebar-btn:hover path":"fill:rgba(0,22,72,0.5);","X .modebar-btn.modebar-btn--logo":"padding:3px 1px;","X .modebar-btn.modebar-btn--logo path":"fill:#447adb !important;","X [data-title]:before,X [data-title]:after":"position:absolute;-webkit-transform:translate3d(0, 0, 0);-moz-transform:translate3d(0, 0, 0);-ms-transform:translate3d(0, 0, 0);-o-transform:translate3d(0, 0, 0);transform:translate3d(0, 0, 0);display:none;opacity:0;z-index:1001;pointer-events:none;top:110%;right:50%;","X [data-title]:hover:before,X 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s=this.words[o],l=(16777215&(s<<i|a)).toString(16);a=s>>>24-i&16777215,r=0!==a||o!==this.length-1?_[6-l.length]+l+r:l+r,i+=2,i>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r="0"+r;return 0!==this.negative&&(r="-"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=w[t],c=M[t];r="";var h=this.clone();for(h.negative=0;!h.isZero();){var f=h.modn(c).toString(t);h=h.idivn(c),r=h.isZero()?f+r:_[u-f.length]+f+r}for(this.isZero()&&(r="0"+r);r.length%e!=0;)r="0"+r;return 0!==this.negative&&(r="-"+r),r}n(!1,"Base should be between 2 and 36")},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n(void 0!==x),this.toArrayLike(x,t,e)},a.prototype.toArray=function(t,e){return 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i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r=this.cmp(t);if(0===r)return this.negative=0,this.length=1,this.words[0]=0,this;var n,i;r>0?(n=this,i=t):(n=t,i=this);for(var a=0,o=0;o<i.length;o++)e=(0|n.words[o])-(0|i.words[o])+a,a=e>>26,this.words[o]=67108863&e;for(;0!==a&&o<n.length;o++)e=(0|n.words[o])+a,a=e>>26,this.words[o]=67108863&e;if(0===a&&o<n.length&&n!==this)for(;o<n.length;o++)this.words[o]=n.words[o];return this.length=Math.max(this.length,o),n!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var k=function(t,e,r){var 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gt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(g,U),i=Math.imul(g,V),i=i+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(p,q)|0,i=i+Math.imul(p,G)|0,i=i+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(h,W)|0,i=i+Math.imul(h,X)|0,i=i+Math.imul(f,W)|0,a=a+Math.imul(f,X)|0;var yt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(x,U),i=Math.imul(x,V),i=i+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(g,q)|0,i=i+Math.imul(g,G)|0,i=i+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(p,W)|0,i=i+Math.imul(p,X)|0,i=i+Math.imul(m,W)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(h,J)|0,i=i+Math.imul(h,K)|0,i=i+Math.imul(f,J)|0,a=a+Math.imul(f,K)|0;var bt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=Math.imul(M,V),i=i+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(x,q)|0,i=i+Math.imul(x,G)|0,i=i+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(g,W)|0,i=i+Math.imul(g,X)|0,i=i+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(p,J)|0,i=i+Math.imul(p,K)|0,i=i+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(h,$)|0,i=i+Math.imul(h,tt)|0,i=i+Math.imul(f,$)|0,a=a+Math.imul(f,tt)|0;var 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kt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(j,U),i=Math.imul(j,V),i=i+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(O,q)|0,i=i+Math.imul(O,G)|0,i=i+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,i=i+Math.imul(D,W)|0,a=a+Math.imul(D,X)|0,n=n+Math.imul(L,J)|0,i=i+Math.imul(L,K)|0,i=i+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,i=i+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(M,rt)|0,i=i+Math.imul(M,nt)|0,i=i+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(x,at)|0,i=i+Math.imul(x,ot)|0,i=i+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(g,lt)|0,i=i+Math.imul(g,ut)|0,i=i+Math.imul(y,lt)|0,a=a+Math.imul(y,ut)|0,n=n+Math.imul(p,ht)|0,i=i+Math.imul(p,ft)|0,i=i+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0,n=n+Math.imul(h,pt)|0,i=i+Math.imul(h,mt)|0,i=i+Math.imul(f,pt)|0,a=a+Math.imul(f,mt)|0;var At=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(j,q),i=Math.imul(j,G),i=i+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(O,W)|0,i=i+Math.imul(O,X)|0,i=i+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,i=i+Math.imul(D,J)|0,a=a+Math.imul(D,K)|0,n=n+Math.imul(L,$)|0,i=i+Math.imul(L,tt)|0,i=i+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,i=i+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(M,at)|0,i=i+Math.imul(M,ot)|0,i=i+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(x,lt)|0,i=i+Math.imul(x,ut)|0,i=i+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0,i=i+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0,n=n+Math.imul(p,pt)|0,i=i+Math.imul(p,mt)|0,i=i+Math.imul(m,pt)|0,a=a+Math.imul(m,mt)|0;var Tt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(j,W),i=Math.imul(j,X),i=i+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(O,J)|0,i=i+Math.imul(O,K)|0,i=i+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,i=i+Math.imul(D,$)|0,a=a+Math.imul(D,tt)|0,n=n+Math.imul(L,rt)|0,i=i+Math.imul(L,nt)|0,i=i+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(T,at)|0,i=i+Math.imul(T,ot)|0,i=i+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(M,lt)|0,i=i+Math.imul(M,ut)|0,i=i+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(x,ht)|0,i=i+Math.imul(x,ft)|0,i=i+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0,n=n+Math.imul(g,pt)|0,i=i+Math.imul(g,mt)|0,i=i+Math.imul(y,pt)|0,a=a+Math.imul(y,mt)|0;var St=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(j,J),i=Math.imul(j,K),i=i+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(O,$)|0,i=i+Math.imul(O,tt)|0,i=i+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,i=i+Math.imul(D,rt)|0,a=a+Math.imul(D,nt)|0,n=n+Math.imul(L,at)|0,i=i+Math.imul(L,ot)|0,i=i+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(T,lt)|0,i=i+Math.imul(T,ut)|0,i=i+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(M,ht)|0,i=i+Math.imul(M,ft)|0,i=i+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0,n=n+Math.imul(x,pt)|0,i=i+Math.imul(x,mt)|0,i=i+Math.imul(_,pt)|0,a=a+Math.imul(_,mt)|0;var Et=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(j,$),i=Math.imul(j,tt),i=i+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(O,rt)|0,i=i+Math.imul(O,nt)|0,i=i+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(z,at)|0,i=i+Math.imul(z,ot)|0,i=i+Math.imul(D,at)|0,a=a+Math.imul(D,ot)|0,n=n+Math.imul(L,lt)|0,i=i+Math.imul(L,ut)|0,i=i+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0,i=i+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0,n=n+Math.imul(M,pt)|0,i=i+Math.imul(M,mt)|0,i=i+Math.imul(k,pt)|0,a=a+Math.imul(k,mt)|0;var Lt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(j,rt),i=Math.imul(j,nt),i=i+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(O,at)|0,i=i+Math.imul(O,ot)|0,i=i+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(z,lt)|0,i=i+Math.imul(z,ut)|0,i=i+Math.imul(D,lt)|0,a=a+Math.imul(D,ut)|0,n=n+Math.imul(L,ht)|0, -i=i+Math.imul(L,ft)|0,i=i+Math.imul(C,ht)|0,a=a+Math.imul(C,ft)|0,n=n+Math.imul(T,pt)|0,i=i+Math.imul(T,mt)|0,i=i+Math.imul(S,pt)|0,a=a+Math.imul(S,mt)|0;var Ct=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(j,at),i=Math.imul(j,ot),i=i+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(O,lt)|0,i=i+Math.imul(O,ut)|0,i=i+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0,i=i+Math.imul(D,ht)|0,a=a+Math.imul(D,ft)|0,n=n+Math.imul(L,pt)|0,i=i+Math.imul(L,mt)|0,i=i+Math.imul(C,pt)|0,a=a+Math.imul(C,mt)|0;var It=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(j,lt),i=Math.imul(j,ut),i=i+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(O,ht)|0,i=i+Math.imul(O,ft)|0,i=i+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0,n=n+Math.imul(z,pt)|0,i=i+Math.imul(z,mt)|0,i=i+Math.imul(D,pt)|0,a=a+Math.imul(D,mt)|0;var zt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,n=Math.imul(j,ht),i=Math.imul(j,ft),i=i+Math.imul(N,ht)|0,a=Math.imul(N,ft),n=n+Math.imul(O,pt)|0,i=i+Math.imul(O,mt)|0,i=i+Math.imul(R,pt)|0,a=a+Math.imul(R,mt)|0;var Dt=(u+n|0)+((8191&i)<<13)|0;u=(a+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,n=Math.imul(j,pt),i=Math.imul(j,mt),i=i+Math.imul(N,pt)|0,a=Math.imul(N,mt);var Pt=(u+n|0)+((8191&i)<<13)|0;return u=(a+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,l[0]=vt,l[1]=gt,l[2]=yt,l[3]=bt,l[4]=xt,l[5]=_t,l[6]=wt,l[7]=Mt,l[8]=kt,l[9]=At,l[10]=Tt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=It,l[16]=zt,l[17]=Dt,l[18]=Pt,0!==u&&(l[19]=u,r.length++),r};Math.imul||(k=u),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?k(this,t,e):r<63?u(this,t,e):r<1024?c(this,t,e):h(this,t,e)},f.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},f.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},f.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},f.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var h=l,f=u,d=0;d<o;d++){var p=r[c+d],m=n[c+d],v=r[c+d+o],g=n[c+d+o],y=h*v-f*g;g=h*g+f*v,v=y,r[c+d]=p+v,n[c+d]=m+g,r[c+d+o]=p-v,n[c+d+o]=m-g,d!==s&&(y=l*h-u*f,f=l*f+u*h,h=y)}},f.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},f.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},f.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},f.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},f.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},f.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,h,n,i);for(var d=0;d<n;d++){var p=s[d]*c[d]-l[d]*h[d];l[d]=s[d]*h[d]+l[d]*c[d],s[d]=p}return this.conjugate(s,l,n),this.transform(s,l,f,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),h(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=l(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){n("number"==typeof t&&t>=0);var i;i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var h=0|this.words[u];this.words[u]=c<<26-a|h>>>a,c=h&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a=t.length+r;this._expand(a);var o,s=0;for(i=0;i<t.length;i++){o=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;o-=67108863&l,s=(o>>26)-(l/67108864|0),this.words[i+r]=67108863&o}for(;i<this.length-r;i++)o=(0|this.words[i+r])+s,s=o>>26,this.words[i+r]=67108863&o;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)o=-(0|this.words[i])+s,s=o>>26,this.words[i]=67108863&o;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=this.length-t.length,n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if("mod"!==e){s=new a(null),s.length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){if(n(!t.isZero()),this.isZero())return{div:new a(0),mod:new a(0)};var i,o,s;return 0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(i=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e)},a.prototype.div=function(t){return this.divmod(t,"div",!1).div},a.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},a.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),h=e.clone();!e.isZero();){for(var f=0,d=1;0==(e.words[0]&d)&&f<26;++f,d<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var p=0,m=1;0==(r.words[0]&m)&&p<26;++p,m<<=1);if(p>0)for(r.iushrn(p);p-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var l=0,u=1;0==(e.words[0]&u)&&l<26;++l,u<<=1);if(l>0)for(e.iushrn(l);l-- >0;)i.isOdd()&&i.iadd(s),i.iushrn(1);for(var c=0,h=1;0==(r.words[0]&h)&&c<26;++c,h<<=1);if(c>0)for(r.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(o)):(r.isub(e),o.isub(i))}var f;return f=0===e.cmpn(1)?i:o,f.cmpn(0)<0&&f.iadd(t),f},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];s+=a,a=s>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e=t<0;if(0!==this.negative&&!e)return-1;if(0===this.negative&&e)return 1;this.strip();var r;if(this.length>1)r=1;else{e&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];r=i===t?0:i<t?-1:1}return 0!==this.negative?0|-r:r},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new y(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction context"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,"redAdd works only with red numbers"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,"redSub works only with red numbers"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,"redISub works only with red numbers"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,"redShl works only with red numbers"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,"redMul works only with red numbers"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,"redISqr works only with red 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0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(A[t])return A[t];var e;if("k256"===t)e=new p;else if("p224"===t)e=new m;else if("p192"===t)e=new v;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new g}return A[t]=e,e},y.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},y.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},y.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},y.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},y.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},y.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return 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k=0;k<3;++k){this.lineEnable[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].primalOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio),this.lineMirror[k]&&this._lines.drawAxisLine(k,this.bounds,A[k].mirrorOffset,this.lineColor[k],this.lineWidth[k]*this.pixelRatio);for(var I=n(y,A[k].primalMinor),z=n(b,A[k].mirrorMinor),D=this.lineTickLength,E=0;E<3;++E){var P=M/r[5*E];I[E]*=D[E]*P,z[E]*=D[E]*P}this.lineTickEnable[k]&&this._lines.drawAxisTicks(k,A[k].primalOffset,I,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio),this.lineTickMirror[k]&&this._lines.drawAxisTicks(k,A[k].mirrorOffset,z,this.lineTickColor[k],this.lineTickWidth[k]*this.pixelRatio)}this._text.bind(r,i,a,this.pixelRatio);for(var k=0;k<3;++k){for(var O=A[k].primalMinor,R=n(x,A[k].primalOffset),E=0;E<3;++E)this.lineTickEnable[k]&&(R[E]+=M*O[E]*Math.max(this.lineTickLength[E],0)/r[5*E]);if(this.tickEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.tickPad[E]/r[5*E];this._text.drawTicks(k,this.tickSize[k],this.tickAngle[k],R,this.tickColor[k])}if(this.labelEnable[k]){for(var E=0;E<3;++E)R[E]+=M*O[E]*this.labelPad[E]/r[5*E];R[k]+=.5*(s[0][k]+s[1][k]),this._text.drawLabel(k,this.labelSize[k],this.labelAngle[k],R,this.labelColor[k])}}},p.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{"./lib/background.js":149,"./lib/cube.js":150,"./lib/lines.js":151,"./lib/text.js":153,"./lib/ticks.js":154}],149:[function(t,e,r){"use strict";function n(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}function i(t){for(var e=[],r=[],i=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,h=[0,0,0],f=[0,0,0],d=-1;d<=1;d+=2){r.push(i,i+2,i+1,i+1,i+2,i+3),h[l]=d,f[l]=d;for(var p=-1;p<=1;p+=2){h[u]=p;for(var m=-1;m<=1;m+=2)h[c]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),i+=1}var v=u;u=c,c=v}var g=a(t,new 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e=0;e<m.length;++e)if(t=l.positive(t,m[e]),t.length<3)return 0;for(var r=t[0],n=r[0]/r[3],i=r[1]/r[3],a=0,e=1;e+1<t.length;++e){var o=t[e],s=t[e+1],u=o[0]/o[3],c=o[1]/o[3],h=s[0]/s[3],f=s[1]/s[3],d=u-n,p=c-i,v=h-n,g=f-i;a+=Math.abs(d*g-p*v)}return a}function a(t,e,r,a){s(c,e,t),s(c,r,c);for(var l=0,m=0;m<2;++m){d[2]=a[m][2];for(var b=0;b<2;++b){d[1]=a[b][1];for(var x=0;x<2;++x)d[0]=a[x][0],n(h[l],d,c),l+=1}}for(var _=-1,m=0;m<8;++m){for(var w=h[m][3],M=0;M<3;++M)f[m][M]=h[m][M]/w;w<0&&(_<0?_=m:f[m][2]<f[_][2]&&(_=m))}if(_<0){_=0;for(var k=0;k<3;++k){for(var A=(k+2)%3,T=(k+1)%3,S=-1,E=-1,L=0;L<2;++L){var C=L<<k,I=C+(L<<A)+(1-L<<T),z=C+(1-L<<A)+(L<<T);u(f[C],f[I],f[z],p)<0||(L?S=1:E=1)}if(S<0||E<0)E>S&&(_|=1<<k);else{for(var L=0;L<2;++L){var C=L<<k,I=C+(L<<A)+(1-L<<T),z=C+(1-L<<A)+(L<<T),D=i([h[C],h[I],h[z],h[C+(1<<A)+(1<<T)]]);L?S=D:E=D}E>S&&(_|=1<<k)}}}for(var P=7^_,O=-1,m=0;m<8;++m)m!==_&&m!==P&&(O<0?O=m:f[O][1]>f[m][1]&&(O=m));for(var R=-1,m=0;m<3;++m){var 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s=t("gl-buffer"),l=t("gl-vao"),u=t("./shaders").line,c=[0,0,0],h=[0,0,0],f=[0,0,0],d=[0,0,0],p=[1,1],m=a.prototype;m.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,p[0]=this.gl.drawingBufferWidth,p[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=p,this.vao.bind()},m.drawAxisLine=function(t,e,r,a,o){var s=n(h);this.shader.uniforms.majorAxis=h,s[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=s;var l=i(d,r);l[t]+=e[0][t],this.shader.uniforms.offset=l,this.shader.uniforms.lineWidth=o,this.shader.uniforms.color=a;var u=n(f);u[(t+2)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6);var u=n(f);u[(t+1)%3]=1,this.shader.uniforms.screenAxis=u,this.vao.draw(this.gl.TRIANGLES,6)},m.drawAxisTicks=function(t,e,r,i,a){if(this.tickCount[t]){var o=n(c);o[t]=1,this.shader.uniforms.majorAxis=o,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=i,this.shader.uniforms.lineWidth=a;var s=n(f);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},m.drawGrid=function(t,e,r,a,o,s){if(this.gridCount[t]){var l=n(h);l[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[e]+=r[0][e],this.shader.uniforms.offset=u;var p=n(c);p[t]=1,this.shader.uniforms.majorAxis=p;var m=n(f);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},m.drawZero=function(t,e,r,a,o,s){var l=n(h);this.shader.uniforms.majorAxis=l,l[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=l;var u=i(d,a);u[t]+=r[0][t],this.shader.uniforms.offset=u;var c=n(f);c[e]=1,this.shader.uniforms.screenAxis=c,this.shader.uniforms.lineWidth=s,this.shader.uniforms.color=o,this.vao.draw(this.gl.TRIANGLES,6)},m.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{"./shaders":152,"gl-buffer":156,"gl-vao":271}],152:[function(t,e,r){"use strict";var n=t("gl-shader");r.line=function(t){return n(t,"#define GLSLIFY 1\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n vec4 pp = projection * view * model * vec4(p, 1.0);\n return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n vec3 major = position.x * majorAxis;\n vec3 minor = position.y * minorAxis;\n\n vec3 vPosition = major + minor + offset;\n vec3 pPosition = project(vPosition);\n vec3 offset = project(vPosition + screenAxis * position.z);\n\n vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n","precision mediump float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}",null,[{name:"position",type:"vec3"}])};r.text=function(t){return n(t,"#define GLSLIFY 1\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvoid main() { \n //Compute plane offset\n vec2 planeCoord = position.xy * pixelScale;\n mat2 planeXform = scale * mat2(cos(angle), sin(angle),\n -sin(angle), cos(angle));\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n //Compute world offset\n float axisDistance = position.z;\n vec3 dataPosition = axisDistance * axis + offset;\n vec4 worldPosition = model * vec4(dataPosition, 1);\n \n //Compute clip position\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n //Apply text offset in clip coordinates\n clipPosition += vec4(viewOffset, 0, 0);\n\n //Done\n gl_Position = clipPosition;\n}","precision mediump float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}",null,[{name:"position",type:"vec3"}])};r.bg=function(t){return n(t,"#define GLSLIFY 1\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n if(dot(normal, enable) > 0.0) {\n vec3 nPosition = mix(bounds[0], bounds[1], 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n colorChannel = abs(normal);\n}","precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] + \n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}",null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},{"gl-shader":255}],153:[function(t,e,r){(function(r){"use strict";function n(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}function i(t,e){try{return l(t,e)}catch(t){return console.warn("error vectorizing text:",t),{cells:[],positions:[]}}}function a(t,e,r,i,a,l){var c=o(t),h=s(t,[{buffer:c,size:3}]),f=u(t);f.attributes.position.location=0;var d=new n(t,f,c,h);return d.update(e,r,i,a,l),d}e.exports=a;var o=t("gl-buffer"),s=t("gl-vao"),l=t("vectorize-text"),u=t("./shaders").text,c=window||r.global||{},h=c.__TEXT_CACHE||{};c.__TEXT_CACHE={};var f=n.prototype,d=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var 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a=p;a[0]=a[1]=a[2]=0,a[t]=1,this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}};var m=[0,0,0];f.drawLabel=function(t,e,r,n,i){this.labelCount[t]&&(this.shader.uniforms.axis=m,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t("_process"))},{"./shaders":152,_process:487,"gl-buffer":156,"gl-vao":271,"vectorize-text":554}],154:[function(t,e,r){"use strict";function n(t,e){var r=t+"",n=r.indexOf("."),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var 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h=e.model||f,p=e.view||f,m=e.projection||f,y=t.bounds,a=a||l(h,p,m,y),b=a.axis;a.edges;u(d,p,h),u(d,m,d);for(var x=v,_=0;_<3;++_)x[_].lo=1/0,x[_].hi=-1/0,x[_].pixelsPerDataUnit=1/0;var w=o(c(d,d));c(d,d);for(var M=0;M<3;++M){var k=(M+1)%3,A=(M+2)%3,T=g;t:for(var _=0;_<2;++_){var S=[];if(b[M]<0!=!!_){T[M]=y[_][M];for(var E=0;E<2;++E){T[k]=y[E^_][k];for(var L=0;L<2;++L)T[A]=y[L^E^_][A],S.push(T.slice())}for(var E=0;E<w.length;++E){if(0===S.length)continue t;S=s.positive(S,w[E])}for(var E=0;E<S.length;++E)for(var A=S[E],C=i(g,d,A,r,n),L=0;L<3;++L)x[L].lo=Math.min(x[L].lo,A[L]),x[L].hi=Math.max(x[L].hi,A[L]),L!==M&&(x[L].pixelsPerDataUnit=Math.min(x[L].pixelsPerDataUnit,Math.abs(C[L])))}}}return x}e.exports=a;var o=t("extract-frustum-planes"),s=t("split-polygon"),l=t("./lib/cube.js"),u=t("gl-mat4/multiply"),c=t("gl-mat4/transpose"),h=t("gl-vec4/transformMat4"),f=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),d=new Float32Array(16),p=[0,0,0,1],m=[0,0,0,1],v=[new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0),new n(1/0,-1/0,1/0)],g=[0,0,0]},{"./lib/cube.js":150,"extract-frustum-planes":130,"gl-mat4/multiply":183,"gl-mat4/transpose":191,"gl-vec4/transformMat4":277,"split-polygon":526}],156:[function(t,e,r){"use strict";function n(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}function i(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error("gl-buffer: If resizing buffer, must not specify offset");return t.bufferSubData(e,a,i),r}function a(t,e){for(var r=l.malloc(t.length,e),n=t.length,i=0;i<n;++i)r[i]=t[i];return r}function o(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}function s(t,e,r,i){if(r=r||t.ARRAY_BUFFER,i=i||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(i!==t.DYNAMIC_DRAW&&i!==t.STATIC_DRAW&&i!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var a=t.createBuffer(),o=new n(t,r,a,0,i);return o.update(e),o}var l=t("typedarray-pool"),u=t("ndarray-ops"),c=t("ndarray"),h=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"],f=n.prototype;f.bind=function(){this.gl.bindBuffer(this.type,this.handle)},f.unbind=function(){this.gl.bindBuffer(this.type,null)},f.dispose=function(){this.gl.deleteBuffer(this.handle)},f.update=function(t,e){if("number"!=typeof e&&(e=-1),this.bind(),"object"==typeof t&&void 0!==t.shape){var r=t.dtype;if(h.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER){r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16"}if(r===t.dtype&&o(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=i(this.gl,this.type,this.length,this.usage,t.data,e):this.length=i(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var n=l.malloc(t.size,r),s=c(n,t.shape);u.assign(s,t),this.length=e<0?i(this.gl,this.type,this.length,this.usage,n,e):i(this.gl,this.type,this.length,this.usage,n.subarray(0,t.size),e),l.free(n)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?a(t,"uint16"):a(t,"float32"),this.length=e<0?i(this.gl,this.type,this.length,this.usage,f,e):i(this.gl,this.type,this.length,this.usage,f.subarray(0,t.length),e),l.free(f)}else if("object"==typeof t&&"number"==typeof t.length)this.length=i(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");t|=0,t<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=s},{ndarray:467,"ndarray-ops":461,"typedarray-pool":541}],157:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],158:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":157}],159:[function(t,e,r){"use strict";function n(t,e,r,n){this.plot=t,this.shader=e,this.bufferHi=r,this.bufferLo=n,this.bounds=[1/0,1/0,-1/0,-1/0],this.numPoints=0,this.color=[0,0,0,1]}function i(t,e){var r=a(t.gl,l.vertex,l.fragment),i=o(t.gl),s=o(t.gl),u=new n(t,r,i,s);return u.update(e),t.addObject(u),u}var a=t("gl-shader"),o=t("gl-buffer"),s=t("typedarray-pool"),l=t("./lib/shaders");e.exports=i;var u=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]],c=n.prototype;c.draw=function(){var t=new Float32Array([0,0]),e=new Float32Array([0,0]),r=new Float32Array([0,0]),n=new Float32Array([0,0]),i=[1,1];return function(){var a=this.plot,o=this.shader,s=this.bounds,l=this.numPoints;if(l){var c=a.gl,h=a.dataBox,f=a.viewBox,d=a.pixelRatio,p=s[2]-s[0],m=s[3]-s[1],v=h[2]-h[0],g=h[3]-h[1],y=2*p/v,b=2*m/g,x=(s[0]-h[0]-.5*v)/p,_=(s[1]-h[1]-.5*g)/m;t[0]=y,t[1]=b,e[0]=y-t[0],e[1]=b-t[1],r[0]=x,r[1]=_,n[0]=x-r[0],n[1]=_-r[1];var w=f[2]-f[0],M=f[3]-f[1];i[0]=2*d/w,i[1]=2*d/M,o.bind(),o.uniforms.scaleHi=t,o.uniforms.scaleLo=e,o.uniforms.translateHi=r,o.uniforms.translateLo=n,o.uniforms.pixelScale=i,o.uniforms.color=this.color,this.bufferLo.bind(),o.attributes.positionLo.pointer(c.FLOAT,!1,16,0),this.bufferHi.bind(),o.attributes.positionHi.pointer(c.FLOAT,!1,16,0),o.attributes.pixelOffset.pointer(c.FLOAT,!1,16,8),c.drawArrays(c.TRIANGLES,0,l*u.length)}}}(),c.drawPick=function(t){return t},c.pick=function(){return null},c.update=function(t){t=t||{};var e,r,n,i=t.positions||[],a=t.errors||[],o=1;"lineWidth"in t&&(o=+t.lineWidth);var l=5;"capSize"in t&&(l=+t.capSize),this.color=(t.color||[0,0,0,1]).slice();var c=this.bounds=[1/0,1/0,-1/0,-1/0],h=this.numPoints=i.length>>1;for(e=0;e<h;++e)r=i[2*e],n=i[2*e+1],c[0]=Math.min(r,c[0]),c[1]=Math.min(n,c[1]),c[2]=Math.max(r,c[2]),c[3]=Math.max(n,c[3]);c[2]===c[0]&&(c[2]+=1),c[3]===c[1]&&(c[3]+=1);var f=1/(c[2]-c[0]),d=1/(c[3]-c[1]),p=c[0],m=c[1],v=s.mallocFloat64(h*u.length*4),g=s.mallocFloat32(h*u.length*4),y=s.mallocFloat32(h*u.length*4),b=0;for(e=0;e<h;++e){r=i[2*e],n=i[2*e+1];for(var x=a[4*e],_=a[4*e+1],w=a[4*e+2],M=a[4*e+3],k=0;k<u.length;++k){var A=u[k],T=A[0],S=A[1];T<0?T*=x:T>0&&(T*=_),S<0?S*=w:S>0&&(S*=M),v[b++]=f*(r-p+T),v[b++]=d*(n-m+S),v[b++]=o*A[2]+(l+o)*A[4],v[b++]=o*A[3]+(l+o)*A[5]}}for(e=0;e<v.length;e++)g[e]=v[e],y[e]=v[e]-g[e];this.bufferHi.update(g),this.bufferLo.update(y),s.free(v)},c.dispose=function(){this.plot.removeObject(this),this.shader.dispose(),this.bufferHi.dispose(),this.bufferLo.dispose()}},{"./lib/shaders":160,"gl-buffer":156,"gl-shader":255,"typedarray-pool":541}],160:[function(t,e,r){e.exports={ -vertex:"precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 positionHi;\nattribute vec2 positionLo;\nattribute vec2 pixelOffset;\n\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo, pixelScale;\n\nvec2 project(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\n return (posHi + trHi) * scHi\n + (posLo + trLo) * scHi\n + (posHi + trHi) * scLo\n + (posLo + trLo) * scLo;\n}\n\nvoid main() {\n vec3 scrPosition = vec3(\n project(scaleHi, translateHi, scaleLo, translateLo, positionHi, positionLo),\n 1);\n gl_Position = vec4(\n scrPosition.xy + scrPosition.z * pixelScale * pixelOffset,\n 0,\n scrPosition.z);\n}\n",fragment:"precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n gl_FragColor = vec4(color.rgb * color.a, color.a);\n}\n"}},{}],161:[function(t,e,r){"use strict";function n(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1}function i(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}function a(t,e,r,n){for(var i=f[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}function o(t){var e=t.gl,r=s(e),i=l(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),a=u(e);a.attributes.position.location=0,a.attributes.color.location=1,a.attributes.offset.location=2;var o=new n(e,r,i,a);return o.update(t),o}e.exports=o;var s=t("gl-buffer"),l=t("gl-vao"),u=t("./shaders/index"),c=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],h=n.prototype;h.isOpaque=function(){return this.opacity>=1},h.isTransparent=function(){return this.opacity<1},h.drawTransparent=h.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||c,i=r.projection=t.projection||c;r.model=t.model||c,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],o=n[13],s=n[14],l=n[15],u=this.pixelRatio*(i[3]*a+i[7]*o+i[11]*s+i[15]*l)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var f=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=(n+e)%3,o=[0,0,0];o[a]=i,r.push(o)}t[e]=r}return t}();h.update=function(t){t=t||{},"lineWidth"in t&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),"opacity"in t&&(this.opacity=t.opacity);var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var o=[],s=r.length,l=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var u=0;u<3;++u){this.lineOffset[u]=l;t:for(var c=0;c<s;++c){for(var h=r[c],f=0;f<3;++f)if(isNaN(h[f])||!isFinite(h[f]))continue t;var d=n[c],p=e[u];if(Array.isArray(p[0])&&(p=e[c]),3===p.length&&(p=[p[0],p[1],p[2],1]),!isNaN(d[0][u])&&!isNaN(d[1][u])){if(d[0][u]<0){var m=h.slice();m[u]+=d[0][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}if(d[1][u]>0){var m=h.slice();m[u]+=d[1][u],o.push(h[0],h[1],h[2],p[0],p[1],p[2],p[3],0,0,0,m[0],m[1],m[2],p[0],p[1],p[2],p[3],0,0,0),i(this.bounds,m),l+=2+a(o,m,p,u)}}}this.lineCount[u]=l-this.lineOffset[u]}this.buffer.update(o)}},h.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":163,"gl-buffer":156,"gl-vao":271}],162:[function(t,e,r){e.exports=function(t){"string"==typeof t&&(t=[t]);for(var e=[].slice.call(arguments,1),r=[],n=0;n<t.length-1;n++)r.push(t[n],e[n]||"");return r.push(t[n]),r.join("")}},{}],163:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(fragPosition, clipBounds[0])) || any(greaterThan(fragPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = opacity * fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},{"gl-shader":255,glslify:162}],164:[function(t,e,r){"use strict";function n(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function i(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function a(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);y=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(var a=n;a<r;++a)i[a]=t.NONE;y[n]=i}}function o(t){switch(t){case p:throw new Error("gl-fbo: Framebuffer unsupported");case m:throw new Error("gl-fbo: Framebuffer incomplete attachment");case v:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case g:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function s(t,e,r,n,i,a){if(!n)return null;var o=d(t,e,r,i,n);return o.magFilter=t.NEAREST,o.minFilter=t.NEAREST,o.mipSamples=1,o.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,a,t.TEXTURE_2D,o.handle,0),o}function l(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function u(t){var e=n(t.gl),r=t.gl,a=t.handle=r.createFramebuffer(),u=t._shape[0],c=t._shape[1],h=t.color.length,f=t._ext,d=t._useStencil,p=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,a);for(var v=0;v<h;++v)t.color[v]=s(r,u,c,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===h?(t._color_rb=l(r,u,c,r.RGBA4,r.COLOR_ATTACHMENT0),f&&f.drawBuffersWEBGL(y[0])):h>1&&f.drawBuffersWEBGL(y[h]);var g=r.getExtension("WEBGL_depth_texture");g?d?t.depth=s(r,u,c,g.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p&&(t.depth=s(r,u,c,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):p&&d?t._depth_rb=l(r,u,c,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):p?t._depth_rb=l(r,u,c,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=l(r,u,c,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var b=r.checkFramebufferStatus(r.FRAMEBUFFER);if(b!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(var v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),i(r,e),o(b)}i(r,e)}function c(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var l=0;l<i;++l)this.color[l]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var c=this,h=[0|e,0|r];Object.defineProperties(h,{0:{get:function(){return c._shape[0]},set:function(t){return c.width=t}},1:{get:function(){return c._shape[1]},set:function(t){return c.height=t}}}),this._shapeVector=h,u(this)}function h(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var a=t.gl,s=a.getParameter(a.MAX_RENDERBUFFER_SIZE);if(e<0||e>s||r<0||r>s)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var l=n(a),u=0;u<t.color.length;++u)t.color[u].shape=t._shape;t._color_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._color_rb),a.renderbufferStorage(a.RENDERBUFFER,a.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(a.bindRenderbuffer(a.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?a.renderbufferStorage(a.RENDERBUFFER,a.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&a.renderbufferStorage(a.RENDERBUFFER,a.STENCIL_INDEX,t._shape[0],t._shape[1])),a.bindFramebuffer(a.FRAMEBUFFER,t.handle);var c=a.checkFramebufferStatus(a.FRAMEBUFFER);c!==a.FRAMEBUFFER_COMPLETE&&(t.dispose(),i(a,l),o(c)),i(a,l)}}function f(t,e,r,n){p||(p=t.FRAMEBUFFER_UNSUPPORTED,m=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,v=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,g=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var i=t.getExtension("WEBGL_draw_buffers");if(!y&&i&&a(t,i),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),"number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var o=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>o||r<0||r>o)throw new Error("gl-fbo: Parameters are too large for FBO");n=n||{};var s=1;if("color"in n){if((s=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(s>1){if(!i)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(s>t.getParameter(i.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+s+" draw buffers")}}var l=t.UNSIGNED_BYTE,u=t.getExtension("OES_texture_float");if(n.float&&s>0){if(!u)throw new Error("gl-fbo: Context does not support floating point textures");l=t.FLOAT}else n.preferFloat&&s>0&&u&&(l=t.FLOAT);var h=!0;"depth"in n&&(h=!!n.depth);var f=!1;return"stencil"in n&&(f=!!n.stencil),new c(t,e,r,l,s,h,f,i)}var d=t("gl-texture2d");e.exports=f;var p,m,v,g,y=null,b=c.prototype;Object.defineProperties(b,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return h(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return t|=0,h(this,t,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t},enumerable:!1}}),b.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},b.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{"gl-texture2d":267}],165:[function(t,e,r){function n(t,e,r){"use strict";var n=o(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===a.FRAGMENT_SHADER?"fragment":"vertex");for(var u=i("Error compiling %s shader %s:\n",l,n),c=i("%s%s",u,t),h=t.split("\n"),f={},d=0;d<h.length;d++){var p=h[d];if(""!==p){var m=parseInt(p.split(":")[2]);if(isNaN(m))throw new Error(i("Could not parse error: %s",p));f[m]=p}}for(var v=s(e).split("\n"),d=0;d<v.length;d++)if(f[d+3]||f[d+2]||f[d+1]){var g=v[d];if(u+=g+"\n",f[d+1]){var y=f[d+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),u+=i("^^^ %s\n\n",y)}}return{long:u.trim(),short:c.trim()}}var i=t("sprintf-js").sprintf,a=t("gl-constants/lookup"),o=t("glsl-shader-name"),s=t("add-line-numbers");e.exports=n},{"add-line-numbers":40,"gl-constants/lookup":158,"glsl-shader-name":279,"sprintf-js":527}],166:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}function i(t,e){var r=t.gl,i=l(r,c.vertex,c.fragment),a=l(r,c.pickVertex,c.pickFragment),o=u(r),s=u(r),h=u(r),f=u(r),d=new n(t,i,a,o,s,h,f);return d.update(e),t.addObject(d),d}e.exports=i;var a=t("binary-search-bounds"),o=t("iota-array"),s=t("typedarray-pool"),l=t("gl-shader"),u=t("gl-buffer"),c=t("./lib/shaders"),h=n.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=function(){var t=[1,0,0,0,1,0,0,0,1];return function(){var e=this.plot,r=this.shader,n=this.bounds,i=this.numVertices;if(!(i<=0)){var a=e.gl,o=e.dataBox,s=n[2]-n[0],l=n[3]-n[1],u=o[2]-o[0],c=o[3]-o[1];t[0]=2*s/u,t[4]=2*l/c,t[6]=2*(n[0]-o[0])/u-1,t[7]=2*(n[1]-o[1])/c-1,r.bind();var h=r.uniforms;h.viewTransform=t,h.shape=this.shape;var f=r.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,i)}}}(),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*u/h,t[4]=2*c/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var d=0;d<4;++d)e[d]=r>>8*d&255;this.pickOffset=r,i.bind();var p=i.uniforms;p.viewTransform=t,p.pickOffset=e,p.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){t=t||{};var e=t.shape||[0,0],r=t.x||o(e[0]),n=t.y||o(e[1]),i=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=n;var l=t.colorLevels||[0],u=t.colorValues||[0,0,0,1],c=l.length,h=this.bounds,d=h[0]=r[0],p=h[1]=n[0],m=h[2]=r[r.length-1],v=h[3]=n[n.length-1],g=1/(m-d),y=1/(v-p),b=e[0],x=e[1];this.shape=[b,x];var _=(b-1)*(x-1)*(f.length>>>1);this.numVertices=_;for(var w=s.mallocUint8(4*_),M=s.mallocFloat32(2*_),k=s.mallocUint8(2*_),A=s.mallocUint32(_),T=0,S=0;S<x-1;++S)for(var E=y*(n[S]-p),L=y*(n[S+1]-p),C=0;C<b-1;++C)for(var I=g*(r[C]-d),z=g*(r[C+1]-d),D=0;D<f.length;D+=2){var P,O,R,F,j=f[D],N=f[D+1],B=(S+N)*b+(C+j),U=i[B],V=a.le(l,U);if(V<0)P=u[0],O=u[1],R=u[2],F=u[3];else if(V===c-1)P=u[4*c-4],O=u[4*c-3],R=u[4*c-2],F=u[4*c-1];else{var H=(U-l[V])/(l[V+1]-l[V]),q=1-H,G=4*V,Y=4*(V+1);P=q*u[G]+H*u[Y],O=q*u[G+1]+H*u[Y+1],R=q*u[G+2]+H*u[Y+2],F=q*u[G+3]+H*u[Y+3]}w[4*T]=255*P,w[4*T+1]=255*O,w[4*T+2]=255*R,w[4*T+3]=255*F,M[2*T]=.5*I+.5*z,M[2*T+1]=.5*E+.5*L,k[2*T]=j,k[2*T+1]=N,A[T]=S*b+C,T+=1}this.positionBuffer.update(M),this.weightBuffer.update(k),this.colorBuffer.update(w),this.idBuffer.update(A),s.free(M),s.free(w),s.free(k),s.free(A)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{"./lib/shaders":167,"binary-search-bounds":168,"gl-buffer":156,"gl-shader":255,"iota-array":293,"typedarray-pool":541}],167:[function(t,e,r){"use strict";e.exports={fragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n",vertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n fragColor = color;\n gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n",pickFragment:"precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n vec2 d = step(.5, vWeight);\n vec4 id = fragId + pickOffset;\n id.x += d.x + d.y*shape.x;\n\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n gl_FragColor = id/255.;\n}\n",pickVertex:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n vWeight = weight;\n\n fragId = pickId;\n\n vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"}},{}],168:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],169:[function(t,e,r){r.lineVertex="precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aHi, aLo, dHi, dLo;\n\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\nuniform float width;\n\nvarying vec2 direction;\n\n\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\n return (posHi + trHi) * scHi\n + (posLo + trLo) * scHi\n + (posHi + trHi) * scLo\n + (posLo + trLo) * scLo;\n}\n\n\nvec2 project_2_1(vec2 scHi, vec2 scLo, vec2 posHi, vec2 posLo) {\n return scHi * posHi\n + scLo * posHi\n + scHi * posLo\n + scLo * posLo;\n}\n\nvoid main() {\n vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\n vec2 dir = project_2_1(scaleHi, scaleLo, dHi, dLo);\n vec2 n = 0.5 * width * normalize(screenShape.yx * vec2(dir.y, -dir.x)) / screenShape.xy;\n vec2 tangent = normalize(screenShape.xy * dir);\n if(dir.x < 0.0 || (dir.x == 0.0 && dir.y < 0.0)) {\n direction = -tangent;\n } else {\n direction = tangent;\n }\n gl_Position = vec4(p + n, 0.0, 1.0);\n}",r.lineFragment="precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nuniform vec2 screenShape;\nuniform sampler2D dashPattern;\nuniform float dashLength;\n\nvarying vec2 direction;\n\nvoid main() {\n float t = fract(dot(direction, gl_FragCoord.xy) / dashLength);\n vec4 pcolor = color * texture2D(dashPattern, vec2(t, 0.0)).r;\n gl_FragColor = vec4(pcolor.rgb * pcolor.a, pcolor.a);\n}",r.mitreVertex="precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aHi, aLo;\n\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo;\nuniform float radius;\n\n\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\n return (posHi + trHi) * scHi\n + (posLo + trLo) * scHi\n + (posHi + trHi) * scLo\n + (posLo + trLo) * scLo;\n}\n\n\nvoid main() {\n vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\n gl_Position = vec4(p, 0.0, 1.0);\n gl_PointSize = radius;\n}",r.mitreFragment="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n if(length(gl_PointCoord.xy - 0.5) > 0.25) {\n discard;\n }\n gl_FragColor = vec4(color.rgb, color.a);\n}",r.pickVertex="precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aHi, aLo, dHi;\nattribute vec4 pick0, pick1;\n\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, screenShape;\nuniform float width;\n\nvarying vec4 pickA, pickB;\n\n\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\n return (posHi + trHi) * scHi\n + (posLo + trLo) * scHi\n + (posHi + trHi) * scLo\n + (posLo + trLo) * scLo;\n}\n\n\nvoid main() {\n vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\n vec2 n = width * normalize(screenShape.yx * vec2(dHi.y, -dHi.x)) / screenShape.xy;\n gl_Position = vec4(p + n, 0, 1);\n pickA = pick0;\n pickB = pick1;\n}",r.pickFragment="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 pickOffset;\n\nvarying vec4 pickA, pickB;\n\nvoid main() {\n vec4 fragId = vec4(pickA.xyz, 0.0);\n if(pickB.w > pickA.w) {\n fragId.xyz = pickB.xyz;\n }\n\n fragId += pickOffset;\n\n fragId.y += floor(fragId.x / 256.0);\n fragId.x -= floor(fragId.x / 256.0) * 256.0;\n\n fragId.z += floor(fragId.y / 256.0);\n fragId.y -= floor(fragId.y / 256.0) * 256.0;\n\n fragId.w += floor(fragId.z / 256.0);\n fragId.z -= floor(fragId.z / 256.0) * 256.0;\n\n gl_FragColor = fragId / 255.0;\n}",r.fillVertex="precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aHi, aLo, dHi;\n\nuniform vec2 scaleHi, translateHi, scaleLo, translateLo, projectAxis;\nuniform float projectValue, depth;\n\n\nvec2 project_1_0(vec2 scHi, vec2 trHi, vec2 scLo, vec2 trLo, vec2 posHi, vec2 posLo) {\n return (posHi + trHi) * scHi\n + (posLo + trLo) * scHi\n + (posHi + trHi) * scLo\n + (posLo + trLo) * scLo;\n}\n\n\nvoid main() {\n vec2 p = project_1_0(scaleHi, translateHi, scaleLo, translateLo, aHi, aLo);\n if(dHi.y < 0.0 || (dHi.y == 0.0 && dHi.x < 0.0)) {\n if(dot(p, projectAxis) < projectValue) {\n p = p * (1.0 - abs(projectAxis)) + projectAxis * projectValue;\n }\n }\n gl_Position = vec4(p, depth, 1);\n}",r.fillFragment="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n gl_FragColor = vec4(color.rgb * color.a, color.a);\n}"},{}],170:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s,l){this.plot=t,this.dashPattern=e,this.lineBufferHi=r,this.lineBufferLo=n,this.pickBuffer=i,this.lineShader=a,this.mitreShader=o,this.fillShader=s,this.pickShader=l,this.usingDashes=!1,this.bounds=[1/0,1/0,-1/0,-1/0],this.width=1,this.color=[0,0,1,1],this.fill=[!1,!1,!1,!1],this.fillColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.data=null,this.numPoints=0,this.vertCount=0,this.pickOffset=0}function i(t){return t.map(function(t){return t.slice()})}function a(t,e){var r=t.gl,i=s(r),a=s(r),u=s(r),c=l(r,[1,1]),f=o(r,h.lineVertex,h.lineFragment),d=o(r,h.mitreVertex,h.mitreFragment),p=o(r,h.fillVertex,h.fillFragment),m=o(r,h.pickVertex,h.pickFragment),v=new n(t,c,i,a,u,f,d,p,m);return t.addObject(v),v.update(e),v}e.exports=a;var o=t("gl-shader"),s=t("gl-buffer"),l=t("gl-texture2d"),u=t("ndarray"),c=t("typedarray-pool"),h=t("./lib/shaders"),f=n.prototype;f.setProjectionModel=function(){var t={scaleHi:new Float32Array([0,0]),scaleLo:new Float32Array([0,0]),translateHi:new Float32Array([0,0]),translateLo:new Float32Array([0,0]),screenShape:[0,0]};return function(){var e=this.bounds,r=this.plot.viewBox,n=this.plot.dataBox,i=e[2]-e[0],a=e[3]-e[1],o=n[2]-n[0],s=n[3]-n[1],l=r[2]-r[0],u=r[3]-r[1],c=2*i/o,h=2*a/s,f=(e[0]-n[0]-.5*o)/i,d=(e[1]-n[1]-.5*s)/a;return t.scaleHi[0]=c,t.scaleHi[1]=h,t.scaleLo[0]=c-t.scaleHi[0],t.scaleLo[1]=h-t.scaleHi[1],t.translateHi[0]=f,t.translateHi[1]=d,t.translateLo[0]=f-t.translateHi[0],t.translateLo[1]=d-t.translateHi[1],t.screenShape[0]=l,t.screenShape[1]=u,t}}(),f.setProjectionUniforms=function(t,e){t.scaleHi=e.scaleHi,t.scaleLo=e.scaleLo,t.translateHi=e.translateHi,t.translateLo=e.translateLo,t.screenShape=e.screenShape},f.draw=function(){var t=[1,0],e=[-1,0],r=[0,1],n=[0,-1];return function(){var i=this.vertCount;if(i){var a=this.setProjectionModel(),o=this.plot,s=this.width,l=o.gl,u=o.pixelRatio,c=this.color,h=this.fillShader.attributes;this.lineBufferLo.bind(),h.aLo.pointer(l.FLOAT,!1,16,0),this.lineBufferHi.bind();var f=this.fill;if(f[0]||f[1]||f[2]||f[3]){var d=this.fillShader;d.bind();var p=d.uniforms;this.setProjectionUniforms(p,a),p.depth=o.nextDepthValue(),h.aHi.pointer(l.FLOAT,!1,16,0),h.dHi.pointer(l.FLOAT,!1,16,8),l.depthMask(!0),l.enable(l.DEPTH_TEST);var m=this.fillColor;f[0]&&(p.color=m[0],p.projectAxis=e,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[1]&&(p.color=m[1],p.projectAxis=n,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[2]&&(p.color=m[2],p.projectAxis=t,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),f[3]&&(p.color=m[3],p.projectAxis=r,p.projectValue=1,l.drawArrays(l.TRIANGLES,0,i)),l.depthMask(!1),l.disable(l.DEPTH_TEST)}var v=this.lineShader;v.bind(),this.lineBufferLo.bind(),v.attributes.aLo.pointer(l.FLOAT,!1,16,0),v.attributes.dLo.pointer(l.FLOAT,!1,16,8),this.lineBufferHi.bind();var g=v.uniforms;this.setProjectionUniforms(g,a),g.color=c,g.width=s*u,g.dashPattern=this.dashPattern.bind(),g.dashLength=this.dashLength*u;var y=v.attributes;if(y.aHi.pointer(l.FLOAT,!1,16,0),y.dHi.pointer(l.FLOAT,!1,16,8),l.drawArrays(l.TRIANGLES,0,i),s>2&&!this.usingDashes){var b=this.mitreShader;this.lineBufferLo.bind(),b.attributes.aLo.pointer(l.FLOAT,!1,48,0),this.lineBufferHi.bind(),b.bind();var x=b.uniforms;this.setProjectionUniforms(x,a),x.color=c,x.radius=s*u,b.attributes.aHi.pointer(l.FLOAT,!1,48,0),l.drawArrays(l.POINTS,0,i/3|0)}}}}(),f.drawPick=function(){var t=[0,0,0,0];return function(e){var r=this.vertCount,n=this.numPoints;if(this.pickOffset=e,!r)return e+n;var i=this.setProjectionModel(),a=this.plot,o=this.width,s=a.gl,l=a.pickPixelRatio,u=this.pickShader,c=this.pickBuffer;t[0]=255&e,t[1]=e>>>8&255,t[2]=e>>>16&255,t[3]=e>>>24,u.bind();var h=u.uniforms;this.setProjectionUniforms(h,i),h.width=o*l,h.pickOffset=t;var f=u.attributes;return this.lineBufferHi.bind(),f.aHi.pointer(s.FLOAT,!1,16,0),f.dHi.pointer(s.FLOAT,!1,16,8),this.lineBufferLo.bind(),f.aLo.pointer(s.FLOAT,!1,16,0),c.bind(),f.pick0.pointer(s.UNSIGNED_BYTE,!1,8,0),f.pick1.pointer(s.UNSIGNED_BYTE,!1,8,4),s.drawArrays(s.TRIANGLES,0,r),e+n}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.numPoints;if(r<n||r>=n+i)return null;var a=r-n,o=this.data;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},f.update=function(t){t=t||{};var e,r,n,a,o,s=this.plot.gl;this.color=(t.color||[0,0,1,1]).slice(),this.width=+(t.width||1),this.fill=(t.fill||[!1,!1,!1,!1]).slice(),this.fillColor=i(t.fillColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var h=t.dashes||[1],f=0;for(e=0;e<h.length;++e)f+=h[e];var d=c.mallocUint8(f);n=0;var p=255;for(e=0;e<h.length;++e){for(r=0;r<h[e];++r)d[n++]=p;p^=255}this.dashPattern.dispose(),this.usingDashes=h.length>1,this.dashPattern=l(s,u(d,[f,1,4],[1,0,0])),this.dashPattern.minFilter=s.NEAREST,this.dashPattern.magFilter=s.NEAREST,this.dashLength=f,c.free(d);var m=t.positions;this.data=m;var v=this.bounds;v[0]=v[1]=1/0,v[2]=v[3]=-1/0;var g=this.numPoints=m.length>>>1;if(0!==g){for(e=0;e<g;++e)a=m[2*e],o=m[2*e+1],isNaN(a)||isNaN(o)||(v[0]=Math.min(v[0],a),v[1]=Math.min(v[1],o),v[2]=Math.max(v[2],a),v[3]=Math.max(v[3],o));v[0]===v[2]&&(v[2]+=1),v[3]===v[1]&&(v[3]+=1);var y=c.mallocFloat64(24*(g-1)),b=c.mallocFloat32(24*(g-1)),x=c.mallocFloat32(24*(g-1)),_=c.mallocUint32(12*(g-1)),w=b.length,M=_.length;n=g;for(var k=0;n>1;){var A=--n;a=m[2*n],o=m[2*n+1];var T=A-1,S=m[2*T],E=m[2*T+1];if(!(isNaN(a)||isNaN(o)||isNaN(S)||isNaN(E))){k+=1,a=(a-v[0])/(v[2]-v[0]),o=(o-v[1])/(v[3]-v[1]),S=(S-v[0])/(v[2]-v[0]),E=(E-v[1])/(v[3]-v[1]);var L=S-a,C=E-o,I=A|1<<24,z=A-1,D=A,P=A-1|1<<24;y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=C,y[--w]=L,y[--w]=E,y[--w]=S,_[--M]=D,_[--M]=P,y[--w]=-C,y[--w]=-L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z,y[--w]=C,y[--w]=L,y[--w]=o,y[--w]=a,_[--M]=I,_[--M]=z}}for(e=0;e<y.length;e++)b[e]=y[e],x[e]=y[e]-b[e];this.vertCount=6*k,this.lineBufferHi.update(b.subarray(w)),this.lineBufferLo.update(x.subarray(w)),this.pickBuffer.update(_.subarray(M)),c.free(y),c.free(b),c.free(x),c.free(_)}},f.dispose=function(){this.plot.removeObject(this),this.lineBufferLo.dispose(),this.lineBufferHi.dispose(),this.pickBuffer.dispose(),this.lineShader.dispose(),this.mitreShader.dispose(),this.fillShader.dispose(),this.pickShader.dispose(),this.dashPattern.dispose()}},{"./lib/shaders":169,"gl-buffer":156,"gl-shader":255,"gl-texture2d":267,ndarray:467,"typedarray-pool":541}],171:[function(t,e,r){var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvoid main() {\n vec4 projected = projection * view * model * vec4(position, 1.0);\n vec4 tangentClip = projection * view * model * vec4(nextPosition - position, 0.0);\n vec2 tangent = normalize(screenShape * tangentClip.xy);\n vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(tangent.y, -tangent.x) / screenShape;\n\n gl_Position = vec4(projected.xy + projected.w * offset, projected.zw);\n\n worldPosition = position;\n pixelArcLength = arcLength;\n fragColor = color;\n}\n",a=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return n(t,i,"precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n",null,a)},r.createPickShader=function(t){return n(t,i,"precision mediump float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\nlowp vec4 encode_float_1_0(highp float v) {\n highp float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n highp vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n highp float e = floor(log2(av));\n highp float m = av * pow(2.0, -e) - 1.0;\n \n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n \n //Unpack exponent\n highp float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0; \n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\n\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if(any(lessThan(worldPosition, clipBounds[0])) || any(greaterThan(worldPosition, clipBounds[1]))) {\n discard;\n }\n gl_FragColor = vec4(pickId/255.0, encode_float_1_0(pixelArcLength).xyz);\n}",null,a)}},{"gl-shader":255}],172:[function(t,e,r){"use strict";function n(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function i(t){ -for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function a(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function o(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.dirty=!0,this.pixelRatio=1}function s(t){var e=t.gl||t.scene&&t.scene.gl,r=m(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var n=v(e);n.attributes.position.location=0,n.attributes.nextPosition.location=1,n.attributes.arcLength.location=2,n.attributes.lineWidth.location=3,n.attributes.color.location=4;for(var i=l(e),a=u(e,[{buffer:i,size:3,offset:0,stride:48},{buffer:i,size:3,offset:12,stride:48},{buffer:i,size:1,offset:24,stride:48},{buffer:i,size:1,offset:28,stride:48},{buffer:i,size:4,offset:32,stride:48}]),s=d(new Array(1024),[256,1,4]),h=0;h<1024;++h)s.data[h]=255;var f=c(e,s);f.wrap=e.REPEAT;var p=new o(e,r,n,i,a,f);return p.update(t),p}e.exports=s;var l=t("gl-buffer"),u=t("gl-vao"),c=t("gl-texture2d"),h=t("glsl-read-float"),f=t("binary-search-bounds"),d=t("ndarray"),p=t("./lib/shaders"),m=p.createShader,v=p.createPickShader,g=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],y=o.prototype;y.isTransparent=function(){return this.opacity<1},y.isOpaque=function(){return this.opacity>=1},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||g,view:t.view||g,projection:t.projection||g,clipBounds:i(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.drawPick=function(t){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||g,view:t.view||g,projection:t.projection||g,pickId:this.pickId,clipBounds:i(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount)},y.update=function(t){var e,r;this.dirty=!0;var i=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),"opacity"in t&&(this.opacity=+t.opacity);var a=t.position||t.positions;if(a){var o=t.color||t.colors||[0,0,0,1],s=t.lineWidth||1,l=[],u=[],c=[],h=0,p=0,m=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],v=!1;t:for(e=1;e<a.length;++e){var g=a[e-1],y=a[e];for(u.push(h),c.push(g.slice()),r=0;r<3;++r){if(isNaN(g[r])||isNaN(y[r])||!isFinite(g[r])||!isFinite(y[r])){if(!i&&l.length>0){for(var b=0;b<24;++b)l.push(l[l.length-12]);p+=2,v=!0}continue t}m[0][r]=Math.min(m[0][r],g[r],y[r]),m[1][r]=Math.max(m[1][r],g[r],y[r])}var x,_;Array.isArray(o[0])?(x=o[e-1],_=o[e]):x=_=o,3===x.length&&(x=[x[0],x[1],x[2],1]),3===_.length&&(_=[_[0],_[1],_[2],1]);var w;w=Array.isArray(s)?s[e-1]:s;var M=h;if(h+=n(g,y),v){for(r=0;r<2;++r)l.push(g[0],g[1],g[2],y[0],y[1],y[2],M,w,x[0],x[1],x[2],x[3]);p+=2,v=!1}l.push(g[0],g[1],g[2],y[0],y[1],y[2],M,w,x[0],x[1],x[2],x[3],g[0],g[1],g[2],y[0],y[1],y[2],M,-w,x[0],x[1],x[2],x[3],y[0],y[1],y[2],g[0],g[1],g[2],h,-w,_[0],_[1],_[2],_[3],y[0],y[1],y[2],g[0],g[1],g[2],h,w,_[0],_[1],_[2],_[3]),p+=4}if(this.buffer.update(l),u.push(h),c.push(a[a.length-1].slice()),this.bounds=m,this.vertexCount=p,this.points=c,this.arcLength=u,"dashes"in t){var k=t.dashes,A=k.slice();for(A.unshift(0),e=1;e<A.length;++e)A[e]=A[e-1]+A[e];var T=d(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)T.set(e,0,r,0);1&f.le(A,A[A.length-1]*e/255)?T.set(e,0,0,0):T.set(e,0,0,255)}this.texture.setPixels(T)}}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=h(t.value[0],t.value[1],t.value[2],0),r=f.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new a(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],o=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),s=1-o,l=[0,0,0],u=0;u<3;++u)l[u]=s*n[u]+o*i[u];var c=Math.min(o<.5?r:r+1,this.points.length-1);return new a(e,l,c,this.points[c])}},{"./lib/shaders":171,"binary-search-bounds":66,"gl-buffer":156,"gl-texture2d":267,"gl-vao":271,"glsl-read-float":278,ndarray:467}],173:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}e.exports=n},{}],174:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=c*o-s*u,f=-c*a+s*l,d=u*a-o*l,p=r*h+n*f+i*d;return p?(p=1/p,t[0]=h*p,t[1]=(-c*n+i*u)*p,t[2]=(s*n-i*o)*p,t[3]=f*p,t[4]=(c*r-i*l)*p,t[5]=(-s*r+i*a)*p,t[6]=d*p,t[7]=(-u*r+n*l)*p,t[8]=(o*r-n*a)*p,t):null}e.exports=n},{}],175:[function(t,e,r){function n(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}e.exports=n},{}],176:[function(t,e,r){function n(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],177:[function(t,e,r){function n(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],v=t[15];return(e*o-r*a)*(h*v-f*m)-(e*s-n*a)*(c*v-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*v-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)}e.exports=n},{}],178:[function(t,e,r){function n(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[1]=c+g,t[2]=f-v,t[3]=0,t[4]=c-g,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}e.exports=n},{}],179:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,v=o*s,g=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-g,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+v,t[7]=0,t[8]=f+g,t[9]=p-v,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}e.exports=n},{}],180:[function(t,e,r){function n(t){return 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Math.abs(m-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(g-M)<1e-6?i(t):(h=m-_,f=v-w,d=g-M,p=1/Math.sqrt(h*h+f*f+d*d),h*=p,f*=p,d*=p,a=b*d-x*f,o=x*h-y*d,s=y*f-b*h,p=Math.sqrt(a*a+o*o+s*s),p?(p=1/p,a*=p,o*=p,s*=p):(a=0,o=0,s=0),l=f*s-d*o,u=d*a-h*s,c=h*o-f*a,p=Math.sqrt(l*l+u*u+c*c),p?(p=1/p,l*=p,u*=p,c*=p):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=u,t[6]=f,t[7]=0,t[8]=s,t[9]=c,t[10]=d,t[11]=0,t[12]=-(a*m+o*v+s*g),t[13]=-(l*m+u*v+c*g),t[14]=-(h*m+f*v+d*g),t[15]=1,t)}var i=t("./identity");e.exports=n},{"./identity":180}],183:[function(t,e,r){function n(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],v=e[13],g=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*v,t[2]=b*a+x*u+_*d+w*g,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*v,t[6]=b*a+x*u+_*d+w*g,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*v,t[10]=b*a+x*u+_*d+w*g,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*v,t[14]=b*a+x*u+_*d+w*g,t[15]=b*o+x*c+_*p+w*y,t}e.exports=n},{}],184:[function(t,e,r){function n(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}e.exports=n},{}],185:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T,S,E=n[0],L=n[1],C=n[2],I=Math.sqrt(E*E+L*L+C*C);return Math.abs(I)<1e-6?null:(I=1/I,E*=I,L*=I,C*=I,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],u=e[2],c=e[3],h=e[4],f=e[5],d=e[6],p=e[7],m=e[8],v=e[9],g=e[10],y=e[11],b=E*E*o+a,x=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,M=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,T=L*C*o-E*i,S=C*C*o+a,t[0]=s*b+h*x+m*_,t[1]=l*b+f*x+v*_,t[2]=u*b+d*x+g*_,t[3]=c*b+p*x+y*_,t[4]=s*w+h*M+m*k,t[5]=l*w+f*M+v*k,t[6]=u*w+d*M+g*k,t[7]=c*w+p*M+y*k,t[8]=s*A+h*T+m*S,t[9]=l*A+f*T+v*S,t[10]=u*A+d*T+g*S,t[11]=c*A+p*T+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}e.exports=n},{}],186:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}e.exports=n},{}],187:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}e.exports=n},{}],188:[function(t,e,r){function n(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}e.exports=n},{}],189:[function(t,e,r){function n(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}e.exports=n},{}],190:[function(t,e,r){function n(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],v=r[1],g=r[2];return e===t?(t[12]=e[0]*m+e[4]*v+e[8]*g+e[12],t[13]=e[1]*m+e[5]*v+e[9]*g+e[13],t[14]=e[2]*m+e[6]*v+e[10]*g+e[14],t[15]=e[3]*m+e[7]*v+e[11]*g+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*v+h*g+e[12],t[13]=i*m+l*v+f*g+e[13],t[14]=a*m+u*v+d*g+e[14],t[15]=o*m+c*v+p*g+e[15]),t}e.exports=n},{}],191:[function(t,e,r){function n(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}e.exports=n},{}],192:[function(t,e,r){"use strict";function n(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:i(t,e);break;case 9:a(t,e);break;case 16:o(t,e);break;default:throw new Error("currently supports matrices up to 4x4")}return t}e.exports=n;var i=t("gl-mat2/invert"),a=t("gl-mat3/invert"),o=t("gl-mat4/invert")},{"gl-mat2/invert":173,"gl-mat3/invert":174,"gl-mat4/invert":181}],193:[function(t,e,r){r.glMatrix=t("./gl-matrix/common.js"),r.mat2=t("./gl-matrix/mat2.js"),r.mat2d=t("./gl-matrix/mat2d.js"),r.mat3=t("./gl-matrix/mat3.js"),r.mat4=t("./gl-matrix/mat4.js"),r.quat=t("./gl-matrix/quat.js"),r.vec2=t("./gl-matrix/vec2.js"),r.vec3=t("./gl-matrix/vec3.js"),r.vec4=t("./gl-matrix/vec4.js")},{"./gl-matrix/common.js":194,"./gl-matrix/mat2.js":195,"./gl-matrix/mat2d.js":196,"./gl-matrix/mat3.js":197,"./gl-matrix/mat4.js":198,"./gl-matrix/quat.js":199,"./gl-matrix/vec2.js":200,"./gl-matrix/vec3.js":201,"./gl-matrix/vec4.js":202}],194:[function(t,e,r){var n={};n.EPSILON=1e-6,n.ARRAY_TYPE="undefined"!=typeof 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t[0]=d*n+f*o,t[1]=d*i+f*s,t[2]=d*a+f*l,t[3]=d*o-f*n,t[4]=d*s-f*i,t[5]=d*l-f*a,t[6]=u,t[7]=c,t[8]=h,t},i.scale=function(t,e,r){var n=r[0],i=r[1];return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=i*e[3],t[4]=i*e[4],t[5]=i*e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t},i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=e[0],t[7]=e[1],t[8]=1,t},i.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=e[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},i.fromMat2d=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=0,t[3]=e[2],t[4]=e[3],t[5]=0,t[6]=e[4],t[7]=e[5],t[8]=1,t},i.fromQuat=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[3]=c-g,t[6]=f+v,t[1]=c+g,t[4]=1-u-p,t[7]=d-m,t[2]=f-v,t[5]=d+m,t[8]=1-u-h,t},i.normalFromMat4=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(l*T-o*L-u*A)*C,t[2]=(o*E-s*T+u*k)*C,t[3]=(i*E-n*L-a*S)*C,t[4]=(r*L-i*T+a*A)*C,t[5]=(n*T-r*E-a*k)*C,t[6]=(m*M-v*w+g*_)*C,t[7]=(v*x-p*M-g*b)*C,t[8]=(p*w-m*x+g*y)*C,t):null},i.str=function(t){return"mat3("+t[0]+", "+t[1]+", "+t[2]+", "+t[3]+", "+t[4]+", "+t[5]+", "+t[6]+", "+t[7]+", "+t[8]+")"},i.frob=function(t){return Math.sqrt(Math.pow(t[0],2)+Math.pow(t[1],2)+Math.pow(t[2],2)+Math.pow(t[3],2)+Math.pow(t[4],2)+Math.pow(t[5],2)+Math.pow(t[6],2)+Math.pow(t[7],2)+Math.pow(t[8],2))},i.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t[3]=e[3]+r[3],t[4]=e[4]+r[4],t[5]=e[5]+r[5],t[6]=e[6]+r[6],t[7]=e[7]+r[7],t[8]=e[8]+r[8],t},i.subtract=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t[3]=e[3]-r[3],t[4]=e[4]-r[4],t[5]=e[5]-r[5],t[6]=e[6]-r[6],t[7]=e[7]-r[7],t[8]=e[8]-r[8],t},i.sub=i.subtract,i.multiplyScalar=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=e[0],d=e[1],p=e[2],m=e[3],v=e[4],g=e[5],y=t[6],b=e[7],x=e[8];return Math.abs(r-f)<=n.EPSILON*Math.max(1,Math.abs(r),Math.abs(f))&&Math.abs(i-d)<=n.EPSILON*Math.max(1,Math.abs(i),Math.abs(d))&&Math.abs(a-p)<=n.EPSILON*Math.max(1,Math.abs(a),Math.abs(p))&&Math.abs(o-m)<=n.EPSILON*Math.max(1,Math.abs(o),Math.abs(m))&&Math.abs(s-v)<=n.EPSILON*Math.max(1,Math.abs(s),Math.abs(v))&&Math.abs(l-g)<=n.EPSILON*Math.max(1,Math.abs(l),Math.abs(g))&&Math.abs(u-y)<=n.EPSILON*Math.max(1,Math.abs(u),Math.abs(y))&&Math.abs(c-b)<=n.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(h-x)<=n.EPSILON*Math.max(1,Math.abs(h),Math.abs(x))},e.exports=i},{"./common.js":194}],198:[function(t,e,r){var n=t("./common.js"),i={scalar:{},SIMD:{}};i.create=function(){var t=new n.ARRAY_TYPE(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.clone=function(t){var e=new n.ARRAY_TYPE(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},i.copy=function(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.fromValues=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,m,v){var g=new n.ARRAY_TYPE(16);return g[0]=t,g[1]=e,g[2]=r,g[3]=i,g[4]=a,g[5]=o,g[6]=s,g[7]=l,g[8]=u,g[9]=c,g[10]=h,g[11]=f,g[12]=d,g[13]=p,g[14]=m,g[15]=v,g},i.set=function(t,e,r,n,i,a,o,s,l,u,c,h,f,d,p,m,v){return t[0]=e,t[1]=r,t[2]=n,t[3]=i,t[4]=a,t[5]=o,t[6]=s,t[7]=l,t[8]=u,t[9]=c,t[10]=h,t[11]=f,t[12]=d,t[13]=p,t[14]=m,t[15]=v,t},i.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.scalar.transpose=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t},i.SIMD.transpose=function(t,e){var r,n,i,a,o,s,l,u,c,h;return r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12),o=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),l=SIMD.Float32x4.shuffle(o,s,0,2,4,6),u=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,0,l),SIMD.Float32x4.store(t,4,u),o=SIMD.Float32x4.shuffle(r,n,2,3,6,7),s=SIMD.Float32x4.shuffle(i,a,2,3,6,7),c=SIMD.Float32x4.shuffle(o,s,0,2,4,6),h=SIMD.Float32x4.shuffle(o,s,1,3,5,7),SIMD.Float32x4.store(t,8,c),SIMD.Float32x4.store(t,12,h),t},i.transpose=n.USE_SIMD?i.SIMD.transpose:i.scalar.transpose,i.scalar.invert=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=e[15],y=r*s-n*o,b=r*l-i*o,x=r*u-a*o,_=n*l-i*s,w=n*u-a*s,M=i*u-a*l,k=c*m-h*p,A=c*v-f*p,T=c*g-d*p,S=h*v-f*m,E=h*g-d*m,L=f*g-d*v,C=y*L-b*E+x*S+_*T-w*A+M*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(m*M-v*w+g*_)*C,t[3]=(f*w-h*M-d*_)*C,t[4]=(l*T-o*L-u*A)*C,t[5]=(r*L-i*T+a*A)*C,t[6]=(v*x-p*M-g*b)*C,t[7]=(c*M-f*x+d*b)*C,t[8]=(o*E-s*T+u*k)*C,t[9]=(n*T-r*E-a*k)*C,t[10]=(p*w-m*x+g*y)*C,t[11]=(h*x-c*w-d*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(m*b-p*_-v*y)*C,t[15]=(c*_-h*b+f*y)*C,t):null},i.SIMD.invert=function(t,e){var r,n,i,a,o,s,l,u,c,h,f=SIMD.Float32x4.load(e,0),d=SIMD.Float32x4.load(e,4),p=SIMD.Float32x4.load(e,8),m=SIMD.Float32x4.load(e,12);return o=SIMD.Float32x4.shuffle(f,d,0,1,4,5),n=SIMD.Float32x4.shuffle(p,m,0,1,4,5),r=SIMD.Float32x4.shuffle(o,n,0,2,4,6),n=SIMD.Float32x4.shuffle(n,o,1,3,5,7),o=SIMD.Float32x4.shuffle(f,d,2,3,6,7),a=SIMD.Float32x4.shuffle(p,m,2,3,6,7),i=SIMD.Float32x4.shuffle(o,a,0,2,4,6),a=SIMD.Float32x4.shuffle(a,o,1,3,5,7),o=SIMD.Float32x4.mul(i,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.mul(n,o),l=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(SIMD.Float32x4.mul(n,o),s),l=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),l),l=SIMD.Float32x4.swizzle(l,2,3,0,1),o=SIMD.Float32x4.mul(n,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),s),c=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),o=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(n,2,3,0,1),a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),i=SIMD.Float32x4.swizzle(i,2,3,0,1),s=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),s),u=SIMD.Float32x4.mul(r,o),o=SIMD.Float32x4.swizzle(o,2,3,0,1),s=SIMD.Float32x4.sub(s,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(r,o),u),u=SIMD.Float32x4.swizzle(u,2,3,0,1),o=SIMD.Float32x4.mul(r,n),o=SIMD.Float32x4.swizzle(o,1,0,3,2),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(SIMD.Float32x4.mul(i,o),c),o=SIMD.Float32x4.swizzle(o,2,3,0,1),u=SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,o),u),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(i,o)),o=SIMD.Float32x4.mul(r,a),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(i,o)),u=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),u),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(i,o),l),u=SIMD.Float32x4.sub(u,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.mul(r,i),o=SIMD.Float32x4.swizzle(o,1,0,3,2),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(a,o),l),c=SIMD.Float32x4.sub(c,SIMD.Float32x4.mul(n,o)),o=SIMD.Float32x4.swizzle(o,2,3,0,1),l=SIMD.Float32x4.sub(l,SIMD.Float32x4.mul(a,o)),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(n,o),c),h=SIMD.Float32x4.mul(r,s),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,2,3,0,1),h),h=SIMD.Float32x4.add(SIMD.Float32x4.swizzle(h,1,0,3,2),h),o=SIMD.Float32x4.reciprocalApproximation(h),h=SIMD.Float32x4.sub(SIMD.Float32x4.add(o,o),SIMD.Float32x4.mul(h,SIMD.Float32x4.mul(o,o))),(h=SIMD.Float32x4.swizzle(h,0,0,0,0))?(SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(h,s)),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(h,l)),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(h,u)),SIMD.Float32x4.store(t,12,SIMD.Float32x4.mul(h,c)),t):null},i.invert=n.USE_SIMD?i.SIMD.invert:i.scalar.invert,i.scalar.adjoint=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],h=e[9],f=e[10],d=e[11],p=e[12],m=e[13],v=e[14],g=e[15];return t[0]=s*(f*g-d*v)-h*(l*g-u*v)+m*(l*d-u*f),t[1]=-(n*(f*g-d*v)-h*(i*g-a*v)+m*(i*d-a*f)),t[2]=n*(l*g-u*v)-s*(i*g-a*v)+m*(i*u-a*l),t[3]=-(n*(l*d-u*f)-s*(i*d-a*f)+h*(i*u-a*l)),t[4]=-(o*(f*g-d*v)-c*(l*g-u*v)+p*(l*d-u*f)),t[5]=r*(f*g-d*v)-c*(i*g-a*v)+p*(i*d-a*f),t[6]=-(r*(l*g-u*v)-o*(i*g-a*v)+p*(i*u-a*l)),t[7]=r*(l*d-u*f)-o*(i*d-a*f)+c*(i*u-a*l),t[8]=o*(h*g-d*m)-c*(s*g-u*m)+p*(s*d-u*h),t[9]=-(r*(h*g-d*m)-c*(n*g-a*m)+p*(n*d-a*h)),t[10]=r*(s*g-u*m)-o*(n*g-a*m)+p*(n*u-a*s),t[11]=-(r*(s*d-u*h)-o*(n*d-a*h)+c*(n*u-a*s)),t[12]=-(o*(h*v-f*m)-c*(s*v-l*m)+p*(s*f-l*h)),t[13]=r*(h*v-f*m)-c*(n*v-i*m)+p*(n*f-i*h),t[14]=-(r*(s*v-l*m)-o*(n*v-i*m)+p*(n*l-i*s)),t[15]=r*(s*f-l*h)-o*(n*f-i*h)+c*(n*l-i*s),t},i.SIMD.adjoint=function(t,e){var r,n,i,a,o,s,l,u,c,h,f,d,p,r=SIMD.Float32x4.load(e,0),n=SIMD.Float32x4.load(e,4),i=SIMD.Float32x4.load(e,8),a=SIMD.Float32x4.load(e,12) -;return c=SIMD.Float32x4.shuffle(r,n,0,1,4,5),s=SIMD.Float32x4.shuffle(i,a,0,1,4,5),o=SIMD.Float32x4.shuffle(c,s,0,2,4,6),s=SIMD.Float32x4.shuffle(s,c,1,3,5,7),c=SIMD.Float32x4.shuffle(r,n,2,3,6,7),u=SIMD.Float32x4.shuffle(i,a,2,3,6,7),l=SIMD.Float32x4.shuffle(c,u,0,2,4,6),u=SIMD.Float32x4.shuffle(u,c,1,3,5,7),c=SIMD.Float32x4.mul(l,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.mul(s,c),f=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(SIMD.Float32x4.mul(s,c),h),f=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),f),f=SIMD.Float32x4.swizzle(f,2,3,0,1),c=SIMD.Float32x4.mul(s,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),h),p=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),p),p=SIMD.Float32x4.swizzle(p,2,3,0,1),c=SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,3,0,1),u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),l=SIMD.Float32x4.swizzle(l,2,3,0,1),h=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),h),d=SIMD.Float32x4.mul(o,c),c=SIMD.Float32x4.swizzle(c,2,3,0,1),h=SIMD.Float32x4.sub(h,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,c),d),d=SIMD.Float32x4.swizzle(d,2,3,0,1),c=SIMD.Float32x4.mul(o,s),c=SIMD.Float32x4.swizzle(c,1,0,3,2),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(SIMD.Float32x4.mul(l,c),p),c=SIMD.Float32x4.swizzle(c,2,3,0,1),d=SIMD.Float32x4.sub(SIMD.Float32x4.mul(u,c),d),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(l,c)),c=SIMD.Float32x4.mul(o,u),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(l,c)),d=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),d),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(l,c),f),d=SIMD.Float32x4.sub(d,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.mul(o,l),c=SIMD.Float32x4.swizzle(c,1,0,3,2),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(u,c),f),p=SIMD.Float32x4.sub(p,SIMD.Float32x4.mul(s,c)),c=SIMD.Float32x4.swizzle(c,2,3,0,1),f=SIMD.Float32x4.sub(f,SIMD.Float32x4.mul(u,c)),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(s,c),p),SIMD.Float32x4.store(t,0,h),SIMD.Float32x4.store(t,4,f),SIMD.Float32x4.store(t,8,d),SIMD.Float32x4.store(t,12,p),t},i.adjoint=n.USE_SIMD?i.SIMD.adjoint:i.scalar.adjoint,i.determinant=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],h=t[10],f=t[11],d=t[12],p=t[13],m=t[14],v=t[15];return(e*o-r*a)*(h*v-f*m)-(e*s-n*a)*(c*v-f*p)+(e*l-i*a)*(c*m-h*p)+(r*s-n*o)*(u*v-f*d)-(r*l-i*o)*(u*m-h*d)+(n*l-i*s)*(u*p-c*d)},i.SIMD.multiply=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4.load(r,0),l=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(s,3,3,3,3),o))));SIMD.Float32x4.store(t,0,l);var u=SIMD.Float32x4.load(r,4),c=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(u,3,3,3,3),o))));SIMD.Float32x4.store(t,4,c);var h=SIMD.Float32x4.load(r,8),f=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(h,3,3,3,3),o))));SIMD.Float32x4.store(t,8,f);var d=SIMD.Float32x4.load(r,12),p=SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,0,0,0,0),n),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,1,1,1,1),i),SIMD.Float32x4.add(SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,2,2,2,2),a),SIMD.Float32x4.mul(SIMD.Float32x4.swizzle(d,3,3,3,3),o))));return SIMD.Float32x4.store(t,12,p),t},i.scalar.multiply=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],m=e[12],v=e[13],g=e[14],y=e[15],b=r[0],x=r[1],_=r[2],w=r[3];return t[0]=b*n+x*s+_*h+w*m,t[1]=b*i+x*l+_*f+w*v,t[2]=b*a+x*u+_*d+w*g,t[3]=b*o+x*c+_*p+w*y,b=r[4],x=r[5],_=r[6],w=r[7],t[4]=b*n+x*s+_*h+w*m,t[5]=b*i+x*l+_*f+w*v,t[6]=b*a+x*u+_*d+w*g,t[7]=b*o+x*c+_*p+w*y,b=r[8],x=r[9],_=r[10],w=r[11],t[8]=b*n+x*s+_*h+w*m,t[9]=b*i+x*l+_*f+w*v,t[10]=b*a+x*u+_*d+w*g,t[11]=b*o+x*c+_*p+w*y,b=r[12],x=r[13],_=r[14],w=r[15],t[12]=b*n+x*s+_*h+w*m,t[13]=b*i+x*l+_*f+w*v,t[14]=b*a+x*u+_*d+w*g,t[15]=b*o+x*c+_*p+w*y,t},i.multiply=n.USE_SIMD?i.SIMD.multiply:i.scalar.multiply,i.mul=i.multiply,i.scalar.translate=function(t,e,r){var n,i,a,o,s,l,u,c,h,f,d,p,m=r[0],v=r[1],g=r[2];return e===t?(t[12]=e[0]*m+e[4]*v+e[8]*g+e[12],t[13]=e[1]*m+e[5]*v+e[9]*g+e[13],t[14]=e[2]*m+e[6]*v+e[10]*g+e[14],t[15]=e[3]*m+e[7]*v+e[11]*g+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],h=e[8],f=e[9],d=e[10],p=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=h,t[9]=f,t[10]=d,t[11]=p,t[12]=n*m+s*v+h*g+e[12],t[13]=i*m+l*v+f*g+e[13],t[14]=a*m+u*v+d*g+e[14],t[15]=o*m+c*v+p*g+e[15]),t},i.SIMD.translate=function(t,e,r){var n=SIMD.Float32x4.load(e,0),i=SIMD.Float32x4.load(e,4),a=SIMD.Float32x4.load(e,8),o=SIMD.Float32x4.load(e,12),s=SIMD.Float32x4(r[0],r[1],r[2],0);e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11]),n=SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(s,0,0,0,0)),i=SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(s,1,1,1,1)),a=SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(s,2,2,2,2));var l=SIMD.Float32x4.add(n,SIMD.Float32x4.add(i,SIMD.Float32x4.add(a,o)));return SIMD.Float32x4.store(t,12,l),t},i.translate=n.USE_SIMD?i.SIMD.translate:i.scalar.translate,i.scalar.scale=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.SIMD.scale=function(t,e,r){var n,i,a,o=SIMD.Float32x4(r[0],r[1],r[2],0);return n=SIMD.Float32x4.load(e,0),SIMD.Float32x4.store(t,0,SIMD.Float32x4.mul(n,SIMD.Float32x4.swizzle(o,0,0,0,0))),i=SIMD.Float32x4.load(e,4),SIMD.Float32x4.store(t,4,SIMD.Float32x4.mul(i,SIMD.Float32x4.swizzle(o,1,1,1,1))),a=SIMD.Float32x4.load(e,8),SIMD.Float32x4.store(t,8,SIMD.Float32x4.mul(a,SIMD.Float32x4.swizzle(o,2,2,2,2))),t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t},i.scale=n.USE_SIMD?i.SIMD.scale:i.scalar.scale,i.rotate=function(t,e,r,i){var a,o,s,l,u,c,h,f,d,p,m,v,g,y,b,x,_,w,M,k,A,T,S,E,L=i[0],C=i[1],I=i[2],z=Math.sqrt(L*L+C*C+I*I);return Math.abs(z)<n.EPSILON?null:(z=1/z,L*=z,C*=z,I*=z,a=Math.sin(r),o=Math.cos(r),s=1-o,l=e[0],u=e[1],c=e[2],h=e[3],f=e[4],d=e[5],p=e[6],m=e[7],v=e[8],g=e[9],y=e[10],b=e[11],x=L*L*s+o,_=C*L*s+I*a,w=I*L*s-C*a,M=L*C*s-I*a,k=C*C*s+o,A=I*C*s+L*a,T=L*I*s+C*a,S=C*I*s-L*a,E=I*I*s+o,t[0]=l*x+f*_+v*w,t[1]=u*x+d*_+g*w,t[2]=c*x+p*_+y*w,t[3]=h*x+m*_+b*w,t[4]=l*M+f*k+v*A,t[5]=u*M+d*k+g*A,t[6]=c*M+p*k+y*A,t[7]=h*M+m*k+b*A,t[8]=l*T+f*S+v*E,t[9]=u*T+d*S+g*E,t[10]=c*T+p*S+y*E,t[11]=h*T+m*S+b*E,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)},i.scalar.rotateX=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t},i.SIMD.rotateX=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,4),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,4,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateX=n.USE_SIMD?i.SIMD.rotateX:i.scalar.rotateX,i.scalar.rotateY=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],h=e[10],f=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t},i.SIMD.rotateY=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,8);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.sub(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,8,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,n),SIMD.Float32x4.mul(o,i))),t},i.rotateY=n.USE_SIMD?i.SIMD.rotateY:i.scalar.rotateY,i.scalar.rotateZ=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],h=e[6],f=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t},i.SIMD.rotateZ=function(t,e,r){var n=SIMD.Float32x4.splat(Math.sin(r)),i=SIMD.Float32x4.splat(Math.cos(r));e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);var a=SIMD.Float32x4.load(e,0),o=SIMD.Float32x4.load(e,4);return SIMD.Float32x4.store(t,0,SIMD.Float32x4.add(SIMD.Float32x4.mul(a,i),SIMD.Float32x4.mul(o,n))),SIMD.Float32x4.store(t,4,SIMD.Float32x4.sub(SIMD.Float32x4.mul(o,i),SIMD.Float32x4.mul(a,n))),t},i.rotateZ=n.USE_SIMD?i.SIMD.rotateZ:i.scalar.rotateZ,i.fromTranslation=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t},i.fromScaling=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotation=function(t,e,r){var i,a,o,s=r[0],l=r[1],u=r[2],c=Math.sqrt(s*s+l*l+u*u);return Math.abs(c)<n.EPSILON?null:(c=1/c,s*=c,l*=c,u*=c,i=Math.sin(e),a=Math.cos(e),o=1-a,t[0]=s*s*o+a,t[1]=l*s*o+u*i,t[2]=u*s*o-l*i,t[3]=0,t[4]=s*l*o-u*i,t[5]=l*l*o+a,t[6]=u*l*o+s*i,t[7]=0,t[8]=s*u*o+l*i,t[9]=l*u*o-s*i,t[10]=u*u*o+a,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},i.fromXRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromYRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromZRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.fromRotationTranslation=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,h=n*l,f=n*u,d=i*l,p=i*u,m=a*u,v=o*s,g=o*l,y=o*u;return t[0]=1-(d+m),t[1]=h+y,t[2]=f-g,t[3]=0,t[4]=h-y,t[5]=1-(c+m),t[6]=p+v,t[7]=0,t[8]=f+g,t[9]=p-v,t[10]=1-(c+d),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.getTranslation=function(t,e){return t[0]=e[12],t[1]=e[13],t[2]=e[14],t},i.getRotation=function(t,e){var r=e[0]+e[5]+e[10],n=0;return r>0?(n=2*Math.sqrt(r+1),t[3]=.25*n,t[0]=(e[6]-e[9])/n,t[1]=(e[8]-e[2])/n,t[2]=(e[1]-e[4])/n):e[0]>e[5]&e[0]>e[10]?(n=2*Math.sqrt(1+e[0]-e[5]-e[10]),t[3]=(e[6]-e[9])/n,t[0]=.25*n,t[1]=(e[1]+e[4])/n,t[2]=(e[8]+e[2])/n):e[5]>e[10]?(n=2*Math.sqrt(1+e[5]-e[0]-e[10]),t[3]=(e[8]-e[2])/n,t[0]=(e[1]+e[4])/n,t[1]=.25*n,t[2]=(e[6]+e[9])/n):(n=2*Math.sqrt(1+e[10]-e[0]-e[5]),t[3]=(e[1]-e[4])/n,t[0]=(e[8]+e[2])/n,t[1]=(e[6]+e[9])/n,t[2]=.25*n),t},i.fromRotationTranslationScale=function(t,e,r,n){var i=e[0],a=e[1],o=e[2],s=e[3],l=i+i,u=a+a,c=o+o,h=i*l,f=i*u,d=i*c,p=a*u,m=a*c,v=o*c,g=s*l,y=s*u,b=s*c,x=n[0],_=n[1],w=n[2];return t[0]=(1-(p+v))*x,t[1]=(f+b)*x,t[2]=(d-y)*x,t[3]=0,t[4]=(f-b)*_,t[5]=(1-(h+v))*_,t[6]=(m+g)*_,t[7]=0,t[8]=(d+y)*w,t[9]=(m-g)*w,t[10]=(1-(h+p))*w,t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t},i.fromRotationTranslationScaleOrigin=function(t,e,r,n,i){var a=e[0],o=e[1],s=e[2],l=e[3],u=a+a,c=o+o,h=s+s,f=a*u,d=a*c,p=a*h,m=o*c,v=o*h,g=s*h,y=l*u,b=l*c,x=l*h,_=n[0],w=n[1],M=n[2],k=i[0],A=i[1],T=i[2];return t[0]=(1-(m+g))*_,t[1]=(d+x)*_,t[2]=(p-b)*_,t[3]=0,t[4]=(d-x)*w,t[5]=(1-(f+g))*w,t[6]=(v+y)*w,t[7]=0,t[8]=(p+b)*M,t[9]=(v-y)*M,t[10]=(1-(f+m))*M,t[11]=0,t[12]=r[0]+k-(t[0]*k+t[4]*A+t[8]*T),t[13]=r[1]+A-(t[1]*k+t[5]*A+t[9]*T),t[14]=r[2]+T-(t[2]*k+t[6]*A+t[10]*T),t[15]=1,t},i.fromQuat=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,h=n*s,f=i*o,d=i*s,p=i*l,m=a*o,v=a*s,g=a*l;return t[0]=1-h-p,t[1]=c+g,t[2]=f-v,t[3]=0,t[4]=c-g,t[5]=1-u-p,t[6]=d+m,t[7]=0,t[8]=f+v,t[9]=d-m,t[10]=1-u-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},i.frustum=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),u=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*u,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*u,t[15]=0,t},i.perspective=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t},i.perspectiveFromFieldOfView=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),u=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*u*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t},i.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},i.lookAt=function(t,e,r,a){var o,s,l,u,c,h,f,d,p,m,v=e[0],g=e[1],y=e[2],b=a[0],x=a[1],_=a[2],w=r[0],M=r[1],k=r[2];return Math.abs(v-w)<n.EPSILON&&Math.abs(g-M)<n.EPSILON&&Math.abs(y-k)<n.EPSILON?i.identity(t):(f=v-w,d=g-M,p=y-k,m=1/Math.sqrt(f*f+d*d+p*p),f*=m,d*=m,p*=m,o=x*p-_*d,s=_*f-b*p,l=b*d-x*f,m=Math.sqrt(o*o+s*s+l*l),m?(m=1/m,o*=m,s*=m,l*=m):(o=0,s=0,l=0),u=d*l-p*s,c=p*o-f*l,h=f*s-d*o,m=Math.sqrt(u*u+c*c+h*h),m?(m=1/m,u*=m,c*=m,h*=m):(u=0,c=0,h=0),t[0]=o,t[1]=u,t[2]=f,t[3]=0,t[4]=s,t[5]=c,t[6]=d,t[7]=0,t[8]=l,t[9]=h,t[10]=p,t[11]=0,t[12]=-(o*v+s*g+l*y),t[13]=-(u*v+c*g+h*y),t[14]=-(f*v+d*g+p*y),t[15]=1,t)},i.str=function(t){return"mat4("+t[0]+", "+t[1]+", "+t[2]+", "+t[3]+", "+t[4]+", "+t[5]+", "+t[6]+", "+t[7]+", "+t[8]+", "+t[9]+", "+t[10]+", "+t[11]+", "+t[12]+", "+t[13]+", "+t[14]+", "+t[15]+")"},i.frob=function(t){return 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t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t[3]=e[3]*r,t[4]=e[4]*r,t[5]=e[5]*r,t[6]=e[6]*r,t[7]=e[7]*r,t[8]=e[8]*r,t[9]=e[9]*r,t[10]=e[10]*r,t[11]=e[11]*r,t[12]=e[12]*r,t[13]=e[13]*r,t[14]=e[14]*r,t[15]=e[15]*r,t},i.multiplyScalarAndAdd=function(t,e,r,n){return t[0]=e[0]+r[0]*n,t[1]=e[1]+r[1]*n,t[2]=e[2]+r[2]*n,t[3]=e[3]+r[3]*n,t[4]=e[4]+r[4]*n,t[5]=e[5]+r[5]*n,t[6]=e[6]+r[6]*n,t[7]=e[7]+r[7]*n,t[8]=e[8]+r[8]*n,t[9]=e[9]+r[9]*n,t[10]=e[10]+r[10]*n,t[11]=e[11]+r[11]*n,t[12]=e[12]+r[12]*n,t[13]=e[13]+r[13]*n,t[14]=e[14]+r[14]*n,t[15]=e[15]+r[15]*n,t},i.exactEquals=function(t,e){return t[0]===e[0]&&t[1]===e[1]&&t[2]===e[2]&&t[3]===e[3]&&t[4]===e[4]&&t[5]===e[5]&&t[6]===e[6]&&t[7]===e[7]&&t[8]===e[8]&&t[9]===e[9]&&t[10]===e[10]&&t[11]===e[11]&&t[12]===e[12]&&t[13]===e[13]&&t[14]===e[14]&&t[15]===e[15]},i.equals=function(t,e){var r=t[0],i=t[1],a=t[2],o=t[3],s=t[4],l=t[5],u=t[6],c=t[7],h=t[8],f=t[9],d=t[10],p=t[11],m=t[12],v=t[13],g=t[14],y=t[15],b=e[0],x=e[1],_=e[2],w=e[3],M=e[4],k=e[5],A=e[6],T=e[7],S=e[8],E=e[9],L=e[10],C=e[11],I=e[12],z=e[13],D=e[14],P=e[15];return 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n=t("./common.js"),i=t("./mat3.js"),a=t("./vec3.js"),o=t("./vec4.js"),s={};s.create=function(){var t=new n.ARRAY_TYPE(4);return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t},s.rotationTo=function(){var t=a.create(),e=a.fromValues(1,0,0),r=a.fromValues(0,1,0);return function(n,i,o){var l=a.dot(i,o);return l<-.999999?(a.cross(t,e,i),a.length(t)<1e-6&&a.cross(t,r,i),a.normalize(t,t),s.setAxisAngle(n,t,Math.PI),n):l>.999999?(n[0]=0,n[1]=0,n[2]=0,n[3]=1,n):(a.cross(t,i,o),n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=1+l,s.normalize(n,n))}}(),s.setAxes=function(){var t=i.create();return function(e,r,n,i){return t[0]=n[0],t[3]=n[1],t[6]=n[2],t[1]=i[0],t[4]=i[1],t[7]=i[2],t[2]=-r[0],t[5]=-r[1],t[8]=-r[2],s.normalize(e,s.fromMat3(e,t))}}(),s.clone=o.clone,s.fromValues=o.fromValues,s.copy=o.copy,s.set=o.set,s.identity=function(t){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t},s.setAxisAngle=function(t,e,r){r*=.5;var n=Math.sin(r);return t[0]=n*e[0],t[1]=n*e[1],t[2]=n*e[2],t[3]=Math.cos(r),t},s.getAxisAngle=function(t,e){var 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p=t("gl-shader"),m=t("gl-buffer"),v=t("gl-vao"),g=t("gl-texture2d"),y=t("normals"),b=t("gl-mat4/multiply"),x=t("gl-mat4/invert"),_=t("ndarray"),w=t("colormap"),M=t("simplicial-complex-contour"),k=t("typedarray-pool"),A=t("./lib/shaders"),T=t("./lib/closest-point"),S=A.meshShader,E=A.wireShader,L=A.pointShader,C=A.pickShader,I=A.pointPickShader,z=A.contourShader,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=n.prototype;P.isOpaque=function(){return this.opacity>=1},P.isTransparent=function(){return this.opacity<1},P.pickSlots=1,P.setPickBase=function(t){this.pickId=t},P.highlight=function(t){if(!t||!this.contourEnable)return void(this.contourCount=0);for(var e=M(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=k.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var h=u[0];2===u.length&&(h=u[c]);for(var f=n[h][0],d=n[h][1],p=i[h],m=1-p,v=this.positions[f],g=this.positions[d],y=0;y<3;++y)o[s++]=p*v[y]+m*g[y]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),k.free(o)},P.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=g(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(i(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var s=[],l=[],u=[],c=[],h=[],f=[],d=[],p=[],m=[],v=[],b=[],x=[],_=[],w=[];this.cells=r,this.positions=n;var M=t.vertexNormals,k=t.cellNormals,A=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,T=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=y.faceNormals(r,n,T)),k||M||(M=y.vertexNormals(r,n,A));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,I=t.vertexIntensity,z=t.cellUVs,D=t.cellIntensity,P=1/0,O=-1/0;if(!C&&!z)if(I)if(t.vertexIntensityBounds)P=+t.vertexIntensityBounds[0],O=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];P=Math.min(P,F),O=Math.max(O,F)}else if(D)for(var R=0;R<D.length;++R){var F=D[R];P=Math.min(P,F),O=Math.max(O,F)}else for(var R=0;R<n.length;++R){var F=n[R][2];P=Math.min(P,F),O=Math.max(O,F)}this.intensity=I||(D?a(r,n.length,D):o(n));var j=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(var R=0;R<n.length;++R)for(var B=n[R],U=0;U<3;++U)!isNaN(B[U])&&isFinite(B[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],B[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],B[U]));var V=0,H=0,q=0;t:for(var R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(var Y=G[0],B=n[Y],U=0;U<3;++U)if(isNaN(B[U])||!isFinite(B[U]))continue t;v.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?b.push(W[0],W[1],W[2],1):b.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],x.push(X[0],X[1]),j?_.push(j[Y]):_.push(N),w.push(R),q+=1;break;case 2:for(var U=0;U<2;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<2;++U){var Y=G[U],B=n[Y];f.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?d.push(W[0],W[1],W[2],1):d.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],p.push(X[0],X[1]),m.push(R)}H+=1;break;case 3:for(var U=0;U<3;++U)for(var Y=G[U],B=n[Y],Z=0;Z<3;++Z)if(isNaN(B[Z])||!isFinite(B[Z]))continue t;for(var U=0;U<3;++U){var Y=G[U],B=n[Y];s.push(B[0],B[1],B[2]);var W;W=S?S[Y]:E?E[R]:L,3===W.length?l.push(W[0],W[1],W[2],1):l.push(W[0],W[1],W[2],W[3]);var X;X=C?C[Y]:I?[(I[Y]-P)/(O-P),0]:z?z[R]:D?[(D[R]-P)/(O-P),0]:[(B[2]-P)/(O-P),0],c.push(X[0],X[1]);var J;J=M?M[Y]:k[R],u.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(b),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(w)),this.edgePositions.update(f),this.edgeColors.update(d),this.edgeUVs.update(p),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(s),this.triangleColors.update(l),this.triangleUVs.update(c),this.triangleNormals.update(u),this.triangleIds.update(new Uint32Array(h))}},P.drawTransparent=P.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,contourColor:this.contourColor,texture:0};this.texture.bind(0);var l=new Array(16);b(l,s.view,s.model),b(l,s.projection,l),x(l,l);for(var o=0;o<3;++o)s.eyePosition[o]=l[12+o]/l[15];for(var u=l[15],o=0;o<3;++o)u+=this.lightPosition[o]*l[4*o+3];for(var o=0;o<3;++o){for(var c=l[12+o],h=0;h<3;++h)c+=l[4*h+o]*this.lightPosition[h];s.lightPosition[o]=c/u}if(this.triangleCount>0){var f=this.triShader;f.bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}if(this.edgeCount>0&&this.lineWidth>0){var f=this.lineShader;f.bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()}if(this.pointCount>0){var f=this.pointShader;f.bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}if(this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0){var f=this.contourShader;f.bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind()}},P.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||D,n=t.view||D,i=t.projection||D,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255},l=this.pickShader;if(l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0){var l=this.pointPickShader;l.bind(),l.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()}},P.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=T(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;for(var s=o[2],l=0,a=0;a<r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},P.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=d},{"./lib/closest-point":203,"./lib/shaders":204,colormap:99,"gl-buffer":156,"gl-mat4/invert":181,"gl-mat4/multiply":183,"gl-shader":255,"gl-texture2d":267,"gl-vao":271,ndarray:467,normals:469,"simplicial-complex-contour":517,"typedarray-pool":541}],206:[function(t,e,r){"use strict";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[0,0,0,1,1,0,1,1]),o(e,s.boxVert,s.lineFrag))}e.exports=i;var a=t("gl-buffer"),o=t("gl-shader"),s=t("./shaders"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawBox=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o){var s=this.plot,l=this.shader,u=s.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,l.uniforms.lo=t,l.uniforms.hi=e,l.uniforms.color=o,u.drawArrays(u.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":209,"gl-buffer":156,"gl-shader":212}],207:[function(t,e,r){"use strict";function n(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function i(t,e){return t-e}function a(t){var e=t.gl;return new n(t,o(e),s(e,u.gridVert,u.gridFrag),s(e,u.tickVert,u.gridFrag))}e.exports=a;var o=t("gl-buffer"),s=t("gl-shader"),l=t("binary-search-bounds"),u=t("./shaders"),c=n.prototype;c.draw=function(){var t=[0,0],e=[0,0],r=[0,0];return function(){for(var n=this.plot,i=this.vbo,a=this.shader,o=this.ticks,s=n.gl,l=n._tickBounds,u=n.dataBox,c=n.viewBox,h=n.gridLineWidth,f=n.gridLineColor,d=n.gridLineEnable,p=n.pixelRatio,m=0;m<2;++m){var v=l[m],g=l[m+2],y=g-v,b=.5*(u[m+2]+u[m]),x=u[m+2]-u[m];e[m]=2*y/x,t[m]=2*(v-b)/x}a.bind(),i.bind(),a.attributes.dataCoord.pointer(),a.uniforms.dataShift=t,a.uniforms.dataScale=e;for(var _=0,m=0;m<2;++m){r[0]=r[1]=0,r[m]=1,a.uniforms.dataAxis=r,a.uniforms.lineWidth=h[m]/(c[m+2]-c[m])*p,a.uniforms.color=f[m];var w=6*o[m].length;d[m]&&w&&s.drawArrays(s.TRIANGLES,_,w),_+=w}}}(),c.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,h=this.ticks,f=s.gl,d=s._tickBounds,p=s.dataBox,m=s.viewBox,v=s.pixelRatio,g=s.screenBox,y=g[2]-g[0],b=g[3]-g[1],x=m[2]-m[0],_=m[3]-m[1],w=0;w<2;++w){var M=d[w],k=d[w+2],A=k-M,T=.5*(p[w+2]+p[w]),S=p[w+2]-p[w];e[w]=2*A/S,t[w]=2*(M-T)/S}e[0]*=x/y,t[0]*=x/y,e[1]*=_/b,t[1]*=_/b,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var E=c.uniforms;E.dataShift=t,E.dataScale=e;var L=s.tickMarkLength,C=s.tickMarkWidth,I=s.tickMarkColor,z=6*h[0].length,D=Math.min(l.ge(h[0],(p[0]-d[0])/(d[2]-d[0]),i),h[0].length),P=Math.min(l.gt(h[0],(p[2]-d[0])/(d[2]-d[0]),i),h[0].length),O=0+6*D,R=6*Math.max(0,P-D),F=Math.min(l.ge(h[1],(p[1]-d[1])/(d[3]-d[1]),i),h[1].length),j=Math.min(l.gt(h[1],(p[3]-d[1])/(d[3]-d[1]),i),h[1].length),N=z+6*F,B=6*Math.max(0,j-F);a[0]=2*(m[0]-L[1])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[1]*v/y,o[1]=C[1]*v/b,B&&(E.color=I[1],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[1]-L[0])/b-1,o[0]=C[0]*v/y,o[1]=L[0]*v/b,R&&(E.color=I[0],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R)),a[0]=2*(m[2]+L[3])/y-1,a[1]=(m[3]+m[1])/b-1,o[0]=L[3]*v/y,o[1]=C[3]*v/b,B&&(E.color=I[3],E.tickScale=o,E.dataAxis=n,E.screenOffset=a,f.drawArrays(f.TRIANGLES,N,B)),a[0]=(m[2]+m[0])/y-1,a[1]=2*(m[3]+L[2])/b-1,o[0]=C[2]*v/y,o[1]=L[2]*v/b,R&&(E.color=I[2],E.tickScale=o,E.dataAxis=r,E.screenOffset=a,f.drawArrays(f.TRIANGLES,O,R))}}(),c.update=function(){var t=[1,1,-1,-1,1,-1],e=[1,-1,1,1,-1,-1];return function(r){for(var n=r.ticks,i=r.bounds,a=new Float32Array(18*(n[0].length+n[1].length)),o=(this.plot.zeroLineEnable,0),s=[[],[]],l=0;l<2;++l)for(var u=s[l],c=n[l],h=i[l],f=i[l+2],d=0;d<c.length;++d){var p=(c[d].x-h)/(f-h);u.push(p);for(var m=0;m<6;++m)a[o++]=p,a[o++]=t[m],a[o++]=e[m]}this.ticks=s,this.vbo.update(a)}}(),c.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":209,"binary-search-bounds":211,"gl-buffer":156,"gl-shader":212}],208:[function(t,e,r){"use strict";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r}function i(t){var e=t.gl;return new n(t,a(e,[-1,-1,-1,1,1,-1,1,1]),o(e,s.lineVert,s.lineFrag))}e.exports=i;var a=t("gl-buffer"),o=t("gl-shader"),s=t("./shaders"),l=n.prototype;l.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},l.drawLine=function(){var t=[0,0],e=[0,0];return function(r,n,i,a,o,s){var l=this.plot,u=this.shader,c=l.gl;t[0]=r,t[1]=n,e[0]=i,e[1]=a,u.uniforms.start=t,u.uniforms.end=e,u.uniforms.width=o*l.pixelRatio,u.uniforms.color=s,c.drawArrays(c.TRIANGLE_STRIP,0,4)}}(),l.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":209,"gl-buffer":156,"gl-shader":212}],209:[function(t,e,r){"use strict";var n="precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n";e.exports={lineVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n vec2 delta = normalize(perp(start - end));\n vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n",lineFrag:n,textVert:"#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n float dataOffset = textCoordinate.z;\n vec2 glyphOffset = textCoordinate.xy;\n mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n glyphMatrix * glyphOffset * textScale + screenOffset;\n gl_Position = vec4(screenCoordinate, 0, 1);\n}\n",textFrag:n,gridVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n gl_Position = vec4(pos, 0, 1);\n}\n",gridFrag:n,boxVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n",tickVert:"precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"}},{}],210:[function(t,e,r){"use strict";function n(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}function i(t){var e=t.gl;return new n(t,a(e),o(e,u.textVert,u.textFrag))}e.exports=i;var a=t("gl-buffer"),o=t("gl-shader"),s=t("text-cache"),l=t("binary-search-bounds"),u=t("./shaders"),c=n.prototype;c.drawTicks=function(){var t=[0,0],e=[0,0],r=[0,0];return function(n){var i=this.plot,a=this.shader,o=this.tickX[n],s=this.tickOffset[n],u=i.gl,c=i.viewBox,h=i.dataBox,f=i.screenBox,d=i.pixelRatio,p=i.tickEnable,m=i.tickPad,v=i.tickColor,g=i.tickAngle,y=i.labelEnable,b=i.labelPad,x=i.labelColor,_=i.labelAngle,w=this.labelOffset[n],M=this.labelCount[n],k=l.lt(o,h[n]),A=l.le(o,h[n+2]);t[0]=t[1]=0,t[n]=1,e[n]=(c[2+n]+c[n])/(f[2+n]-f[n])-1;var 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i(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function a(t,e){return t.x-e.x}function o(t){var e=t.gl,r=s(e,[e.drawingBufferWidth,e.drawingBufferHeight]),i=new n(e,r);return i.grid=l(i),i.text=u(i),i.line=c(i),i.box=h(i),i.update(t),i}e.exports=o;var s=t("gl-select-static"),l=t("./lib/grid"),u=t("./lib/text"),c=t("./lib/line"),h=t("./lib/box"),f=n.prototype;f.setDirty=function(){this.dirty=this.pickDirty=!0},f.setOverlayDirty=function(){this.dirty=!0},f.nextDepthValue=function(){return this._depthCounter++/65536},f.draw=function(){return function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT),t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,d=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var p=0;p<2;++p)if(h[p]&&n[p]<=0&&n[p+2]>=0){var m=e[p]-n[p]*(e[p+2]-e[p])/(n[p+2]-n[p]);0===p?o.drawLine(m,e[1],m,e[3],d[p],f[p]):o.drawLine(e[0],m,e[2],m,d[p],f[p])}}for(var p=0;p<l.length;++p)l[p].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var v=this.borderLineEnable,g=this.borderLineWidth,y=this.borderLineColor;v[1]&&o.drawLine(r[0],r[1]-.5*g[1]*i,r[0],r[3]+.5*g[3]*i,g[1],y[1]),v[0]&&o.drawLine(r[0]-.5*g[0]*i,r[1],r[2]+.5*g[2]*i,r[1],g[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*g[1]*i,r[2],r[3]+.5*g[3]*i,g[3],y[3]),v[2]&&o.drawLine(r[0]-.5*g[0]*i,r[3],r[2]+.5*g[2]*i,r[3],g[2],y[2]),s.bind();for(var p=0;p<2;++p)s.drawTicks(p);this.titleEnable&&s.drawTitle();for(var b=this.overlays,p=0;p<b.length;++p)b[p].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}}}(),f.drawPick=function(){return function(){if(!this.static){var t=this.pickBuffer;this.gl;this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}}}(),f.pick=function(){return function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var h=u[c].pick(a,o,l);if(h)return h}return null}}}(),f.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},f.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},f.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},f.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,o=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/o,10,10/o]),this.borderColor=(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=i(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=i(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=i(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=i(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=i(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=i(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var s=t.ticks||[[],[]],l=this._tickBounds;l[0]=l[1]=1/0,l[2]=l[3]=-1/0;for(var u=0;u<2;++u){var c=s[u].slice(0);0!==c.length&&(c.sort(a),l[u]=Math.min(l[u],c[0].x),l[u+2]=Math.max(l[u+2],c[c.length-1].x))}this.grid.update({bounds:l,ticks:s}),this.text.update({bounds:l,ticks:s,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},f.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(var t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},f.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},f.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},f.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},f.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{"./lib/box":206,"./lib/grid":207,"./lib/line":208,"./lib/text":210,"gl-select-static":254}],220:[function(t,e,r){var n=t("gl-shader");e.exports=function(t){return n(t,"precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}","precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}",null,[{name:"position",type:"vec2"}])}},{"gl-shader":255}],221:[function(t,e,r){"use strict";function n(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function i(t,e){var r=null;try{r=t.getContext("webgl",e),r||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}function a(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){var r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function o(t){return"boolean"!=typeof t||t}function s(t){function e(){if(!w&&G.autoResize){var t=M.parentNode,e=1,r=1;t&&t!==document.body?(e=t.clientWidth,r=t.clientHeight):(e=window.innerWidth,r=window.innerHeight);var n=0|Math.ceil(e*G.pixelRatio),i=0|Math.ceil(r*G.pixelRatio);if(n!==M.width||i!==M.height){M.width=n,M.height=i;var a=M.style;a.position=a.position||"absolute",a.left="0px",a.top="0px",a.width=e+"px",a.height=r+"px",N=!0}}}function r(){for(var t=O.length,e=j.length,r=0;r<e;++r)F[r]=0;t:for(var r=0;r<t;++r){var n=O[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(F[a]+i<255){R[r]=a,n.setPickBase(F[a]+1),F[a]+=i;continue t}var o=f(A,q);R[r]=e,j.push(o),F.push(i),n.setPickBase(1),e+=1}else R[r]=-1}for(;e>0&&0===F[e-1];)F.pop(),j.pop().dispose()}function s(){if(G.contextLost)return!0;A.isContextLost()&&(G.contextLost=!0,G.mouseListener.enabled=!1,G.selection.object=null,G.oncontextloss&&G.oncontextloss())}function b(){if(!s()){A.colorMask(!0,!0,!0,!0),A.depthMask(!0),A.disable(A.BLEND),A.enable(A.DEPTH_TEST);for(var t=O.length,e=j.length,r=0;r<e;++r){var n=j[r];n.shape=Y,n.begin();for(var i=0;i<t;++i)if(R[i]===r){var a=O[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(H))}n.end()}}}function x(){if(!s()){e();var t=G.camera.tick();H.view=G.camera.matrix,N=N||t,B=B||t,z.pixelRatio=G.pixelRatio,P.pixelRatio=G.pixelRatio;var r=O.length,n=Z[0],i=Z[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<r;++o){var l=O[o];l.pixelRatio=G.pixelRatio,l.axes=G.axes,N=N||!!l.dirty,B=B||!!l.dirty;var u=l.bounds;if(u)for(var h=u[0],f=u[1],d=0;d<3;++d)n[d]=Math.min(n[d],h[d]),i[d]=Math.max(i[d],f[d])}var m=G.bounds;if(G.autoBounds)for(var d=0;d<3;++d){if(i[d]<n[d])n[d]=-1,i[d]=1;else{n[d]===i[d]&&(n[d]-=1,i[d]+=1);var g=.05*(i[d]-n[d]);n[d]=n[d]-g,i[d]=i[d]+g}m[0][d]=n[d],m[1][d]=i[d]}for(var y=!1,d=0;d<3;++d)y=y||J[0][d]!==m[0][d]||J[1][d]!==m[1][d],J[0][d]=m[0][d],J[1][d]=m[1][d];if(B=B||y,N=N||y){if(y){for(var x=[0,0,0],o=0;o<3;++o)x[o]=a((m[1][o]-m[0][o])/10);z.autoTicks?z.update({bounds:m,tickSpacing:x}):z.update({bounds:m})}var _=A.drawingBufferWidth,w=A.drawingBufferHeight;q[0]=_,q[1]=w,Y[0]=0|Math.max(_/G.pixelRatio,1),Y[1]=0|Math.max(w/G.pixelRatio,1),v(U,G.fovy,_/w,G.zNear,G.zFar);for(var o=0;o<16;++o)V[o]=0;V[15]=1;for(var M=0,o=0;o<3;++o)M=Math.max(M,m[1][o]-m[0][o]);for(var o=0;o<3;++o)G.autoScale?V[5*o]=G.aspect[o]/(m[1][o]-m[0][o]):V[5*o]=1/M,G.autoCenter&&(V[12+o]=.5*-V[5*o]*(m[0][o]+m[1][o]));for(var o=0;o<r;++o){var l=O[o];l.axesBounds=m,G.clipToBounds&&(l.clipBounds=m)}S.object&&(G.snapToData?P.position=S.dataCoordinate:P.position=S.dataPosition,P.bounds=m),B&&(B=!1,b()),G.axesPixels=c(G.axes,H,_,w),G.onrender&&G.onrender(),A.bindFramebuffer(A.FRAMEBUFFER,null),A.viewport(0,0,_,w);var k=G.clearColor;A.clearColor(k[0],k[1],k[2],k[3]),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT),A.depthMask(!0),A.colorMask(!0,!0,!0,!0),A.enable(A.DEPTH_TEST),A.depthFunc(A.LEQUAL),A.disable(A.BLEND),A.disable(A.CULL_FACE);var T=!1;z.enable&&(T=T||z.isTransparent(),z.draw(H)),P.axes=z,S.object&&P.draw(H),A.disable(A.CULL_FACE);for(var o=0;o<r;++o){var l=O[o];l.axes=z,l.pixelRatio=G.pixelRatio,l.isOpaque&&l.isOpaque()&&l.draw(H),l.isTransparent&&l.isTransparent()&&(T=!0)}if(T){E.shape=q,E.bind(),A.clear(A.DEPTH_BUFFER_BIT),A.colorMask(!1,!1,!1,!1),A.depthMask(!0),A.depthFunc(A.LESS),z.enable&&z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isOpaque&&l.isOpaque()&&l.draw(H)}A.enable(A.BLEND),A.blendEquation(A.FUNC_ADD),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.colorMask(!0,!0,!0,!0),A.depthMask(!1),A.clearColor(0,0,0,0),A.clear(A.COLOR_BUFFER_BIT),z.isTransparent()&&z.drawTransparent(H);for(var o=0;o<r;++o){var l=O[o];l.isTransparent&&l.isTransparent()&&l.drawTransparent(H)}A.bindFramebuffer(A.FRAMEBUFFER,null),A.blendFunc(A.ONE,A.ONE_MINUS_SRC_ALPHA),A.disable(A.DEPTH_TEST),L.bind(),E.color[0].bind(0),L.uniforms.accumBuffer=0,p(A),A.disable(A.BLEND)}N=!1;for(var o=0;o<r;++o)O[o].dirty=!1}}}function _(){w||G.contextLost||(requestAnimationFrame(_),x())}t=t||{};var w=!1,M=(t.pixelRatio||parseFloat(window.devicePixelRatio),t.canvas);if(!M)if(M=document.createElement("canvas"),t.container){var k=t.container;k.appendChild(M)}else document.body.appendChild(M);var A=t.gl;if(A||(A=i(M,t.glOptions||{premultipliedAlpha:!0,antialias:!0})),!A)throw new Error("webgl not supported");var T=t.bounds||[[-10,-10,-10],[10,10,10]],S=new n,E=d(A,[A.drawingBufferWidth,A.drawingBufferHeight],{preferFloat:!y}),L=g(A),C=t.camera||{eye:[2,0,0],center:[0,0,0],up:[0,1,0],zoomMin:.1,zoomMax:100,mode:"turntable"},I=t.axes||{},z=u(A,I);z.enable=!I.disable;var D=t.spikes||{},P=h(A,D),O=[],R=[],F=[],j=[],N=!0,B=!0,U=new Array(16),V=new Array(16),H={view:null,projection:U,model:V},B=!0,q=[A.drawingBufferWidth,A.drawingBufferHeight],G={gl:A,contextLost:!1,pixelRatio:t.pixelRatio||parseFloat(window.devicePixelRatio),canvas:M,selection:S,camera:l(M,C),axes:z,axesPixels:null,spikes:P,bounds:T,objects:O,shape:q,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:o(t.autoResize),autoBounds:o(t.autoBounds),autoScale:!!t.autoScale,autoCenter:o(t.autoCenter),clipToBounds:o(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:H,oncontextloss:null,mouseListener:null},Y=[A.drawingBufferWidth/G.pixelRatio|0,A.drawingBufferHeight/G.pixelRatio|0];G.autoResize&&e(),window.addEventListener("resize",e),G.update=function(t){w||(t=t||{},N=!0,B=!0)},G.add=function(t){w||(t.axes=z,O.push(t),R.push(-1),N=!0,B=!0,r())},G.remove=function(t){if(!w){var e=O.indexOf(t);e<0||(O.splice(e,1),R.pop(),N=!0,B=!0,r())}},G.dispose=function(){if(!w&&(w=!0,window.removeEventListener("resize",e),M.removeEventListener("webglcontextlost",s),G.mouseListener.enabled=!1,!G.contextLost)){z.dispose(),P.dispose();for(var t=0;t<O.length;++t)O[t].dispose();E.dispose();for(var t=0;t<j.length;++t)j[t].dispose();L.dispose(),A=null,z=null,P=null,O=[]}};var W=!1,X=0;G.mouseListener=m(M,function(t,e,r){if(!w){var n=j.length,i=O.length,a=S.object;S.distance=1/0,S.mouse[0]=e,S.mouse[1]=r,S.object=null,S.screen=null,S.dataCoordinate=S.dataPosition=null;var o=!1;if(t&&X)W=!0;else{W&&(B=!0),W=!1;for(var s=0;s<n;++s){var l=j[s].query(e,Y[1]-r-1,G.pickRadius);if(l){if(l.distance>S.distance)continue;for(var u=0;u<i;++u){var c=O[u];if(R[u]===s){var 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l=t("3d-view-controls"),u=t("gl-axes3d"),c=t("gl-axes3d/properties"),h=t("gl-spikes3d"),f=t("gl-select-static"),d=t("gl-fbo"),p=t("a-big-triangle"),m=t("mouse-change"),v=t("gl-mat4/perspective"),g=t("./lib/shader"),y=t("is-mobile")()},{"./lib/shader":220,"3d-view-controls":36,"a-big-triangle":39,"gl-axes3d":148,"gl-axes3d/properties":155,"gl-fbo":164,"gl-mat4/perspective":184,"gl-select-static":254,"gl-spikes3d":264,"is-mobile":296,"mouse-change":452}],222:[function(t,e,r){r.pointVertex="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n highp float a = 12.9898;\n highp float b = 78.233;\n highp float c = 43758.5453;\n highp float d = dot(co.xy, vec2(a, b));\n highp float e = mod(d, 3.14);\n return fract(sin(e) * c);\n}\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n // if we don't 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255.0;\n}\n"},{}],223:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{"./lib/GLError":224,"./lib/create-attributes":225,"./lib/create-uniforms":226,"./lib/reflect":227,"./lib/runtime-reflect":228,"./lib/shader-cache":229,dup:212}],224:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],225:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{ -"./GLError":224,dup:214}],226:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{"./GLError":224,"./reflect":227,dup:215}],227:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],228:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],229:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{"./GLError":224,dup:218,"gl-format-compiler-error":165,"weakmap-shim":562}],230:[function(t,e,r){"use strict";function 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r;t=t||{},this.sizeMin=e("sizeMin",.5),this.sizeMax=e("sizeMax",20),this.color=e("color",[1,0,0,1]).slice(),this.areaRatio=e("areaRatio",1),this.borderColor=e("borderColor",[0,0,0,1]).slice(),this.blend=e("blend",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,a=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,o=t.positions,s=i?o:l.mallocFloat32(o.length),u=a?t.idToIndex:l.mallocInt32(n);if(i||s.set(o),!a)for(s.set(o),r=0;r<n;r++)u[r]=r;this.points=o,this.offsetBuffer.update(s),this.pickBuffer.update(u),i||l.free(s),a||l.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=void 0!==r,a=n?this.pickShader:this.shader,o=this.plot.gl,s=this.plot.dataBox;if(0===this.pointCount)return r;var l=s[2]-s[0],u=s[3]-s[1],c=i(this.points,s),h=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(c,.33333)));t[0]=2/l,t[4]=2/u,t[6]=-2*s[0]/l-1,t[7]=-2*s[1]/u-1,this.offsetBuffer.bind(),a.bind(),a.attributes.position.pointer(),a.uniforms.matrix=t,a.uniforms.color=this.color,a.uniforms.borderColor=this.borderColor,a.uniforms.pointCloud=h<5,a.uniforms.pointSize=h,a.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),n&&(e[0]=255&r,e[1]=r>>8&255,e[2]=r>>16&255,e[3]=r>>24&255,this.pickBuffer.bind(),a.attributes.pickId.pointer(o.UNSIGNED_BYTE),a.uniforms.pickOffset=e,this.pickOffset=r);var f=o.getParameter(o.BLEND),d=o.getParameter(o.DITHER);return f&&!this.blend&&o.disable(o.BLEND),d&&o.disable(o.DITHER),o.drawArrays(o.POINTS,0,this.pointCount),f&&!this.blend&&o.enable(o.BLEND),d&&o.enable(o.DITHER),r+this.pointCount}}(),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{"./lib/shader":222,"gl-buffer":156,"gl-shader":223,"typedarray-pool":541}],231:[function(t,e,r){function n(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],h=e[2],f=e[3],d=r[0],p=r[1],m=r[2],v=r[3];return a=u*d+c*p+h*m+f*v,a<0&&(a=-a,d=-d,p=-p,m=-m,v=-v),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*d,t[1]=s*c+l*p,t[2]=s*h+l*m,t[3]=s*f+l*v,t}e.exports=n},{}],232:[function(t,e,r){"use strict";e.exports={vertex:"precision highp float;\n#define GLSLIFY 1\n\n\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\n return vec4((posHi + trHi) * scHi\n \t\t\t//FIXME: this thingy does not give noticeable precision gain, need test\n + (posLo + trLo) * scHi\n + (posHi + trHi) * scLo\n + (posLo + trLo) * scLo\n , 0, 1);\n}\n\n\nattribute vec2 positionHi, positionLo;\nattribute float size, border;\nattribute vec2 char, color;\n\n//this is 64-bit form of scale and translate\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\nuniform float pixelRatio;\nuniform vec4 viewBox;\nuniform sampler2D palette;\n\nvarying vec4 charColor, borderColor;\nvarying vec2 charId;\nvarying vec2 pointCoord;\nvarying float pointSize;\nvarying float borderWidth;\n\n\nvoid main() {\n charColor = texture2D(palette, vec2(color.x / 255., 0));\n borderColor = texture2D(palette, vec2(color.y / 255., 0));\n\n gl_PointSize = size * pixelRatio;\n pointSize = size * pixelRatio;\n\n charId = char;\n borderWidth = border;\n\n gl_Position = computePosition_1_0(\n positionHi, positionLo,\n scaleHi, scaleLo,\n translateHi, translateLo);\n\n pointCoord = viewBox.xy + (viewBox.zw - viewBox.xy) * (gl_Position.xy * .5 + .5);\n}\n",fragment:"precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D chars;\nuniform vec2 charsShape;\nuniform float charsStep, pixelRatio, charOffset;\n\nvarying vec4 borderColor;\nvarying vec4 charColor;\nvarying vec2 charId;\nvarying vec2 pointCoord;\nvarying float pointSize;\nvarying float borderWidth;\n\nvoid main() {\n\tvec2 pointUV = (pointCoord - gl_FragCoord.xy + pointSize * .5) / pointSize;\n\tpointUV.x = 1. - pointUV.x;\n\tvec2 texCoord = ((charId + pointUV) * charsStep) / charsShape;\n\tfloat dist = texture2D(chars, texCoord).r;\n\n\t//max-distance alpha\n\tif (dist < 1e-2)\n\t\tdiscard;\n\n\tfloat gamma = .0045 * charsStep / pointSize;\n\n //null-border case\n \tif (borderWidth * borderColor.a == 0.) {\n\t\tfloat charAmt = smoothstep(.748 - gamma, .748 + gamma, dist);\n\t\tgl_FragColor = vec4(charColor.rgb, charAmt*charColor.a);\n\t\treturn;\n\t}\n\n\tfloat dif = 5. * pixelRatio * borderWidth / pointSize;\n\tfloat borderLevel = .748 - dif * .5;\n\tfloat charLevel = .748 + dif * .5;\n\n\tfloat borderAmt = smoothstep(borderLevel - gamma, borderLevel + gamma, dist);\n\tfloat charAmt = smoothstep(charLevel - gamma, charLevel + gamma, dist);\n\n\tvec4 color = borderColor;\n\tcolor.a *= borderAmt;\n\n\tgl_FragColor = mix(color, charColor, charAmt);\n}\n",pickVertex:"precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 positionHi, positionLo;\nattribute vec4 id;\nattribute float size;\n\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\nuniform vec4 pickOffset;\nuniform float pixelRatio;\n\nvarying vec4 fragColor;\n\n\nvec4 computePosition_1_0(vec2 posHi, vec2 posLo, vec2 scHi, vec2 scLo, vec2 trHi, vec2 trLo) {\n return vec4((posHi + trHi) * scHi\n \t\t\t//FIXME: this thingy does not give noticeable precision gain, need test\n + (posLo + trLo) * scHi\n + (posHi + trHi) * scLo\n + (posLo + trLo) * scLo\n , 0, 1);\n}\n\n\nvoid main() {\n vec4 fragId = id + pickOffset;\n\n fragId.y += floor(fragId.x / 256.0);\n fragId.x -= floor(fragId.x / 256.0) * 256.0;\n\n fragId.z += floor(fragId.y / 256.0);\n fragId.y -= floor(fragId.y / 256.0) * 256.0;\n\n fragId.w += floor(fragId.z / 256.0);\n fragId.z -= floor(fragId.z / 256.0) * 256.0;\n\n fragColor = fragId / 255.0;\n\n gl_PointSize = size * .25 * pixelRatio;\n\n gl_Position = computePosition_1_0(\n positionHi, positionLo,\n scaleHi, scaleLo,\n translateHi, translateLo);\n}\n",pickFragment:"precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = fragColor;\n}\n"}},{}],233:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],234:[function(t,e,r){arguments[4][212][0].apply(r,arguments)},{"./lib/GLError":235,"./lib/create-attributes":236,"./lib/create-uniforms":237,"./lib/reflect":238,"./lib/runtime-reflect":239,"./lib/shader-cache":240,dup:212}],235:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],236:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{"./GLError":235,dup:214}],237:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{"./GLError":235,"./reflect":238,dup:215}],238:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],239:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],240:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{"./GLError":235,dup:218,"gl-format-compiler-error":165,"weakmap-shim":562}],241:[function(t,e,r){"use strict";function n(t,e,r,n,a){a<=4*f?i(0,a-1,t,e,r,n):h(0,a-1,t,e,r,n)}function i(t,e,r,n,i,a){for(var 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h(t,e,r,n,d,p){var m=(e-t+1)/6|0,v=t+m,g=e-m,y=t+e>>1,b=y-m,x=y+m,_=v,w=b,M=y,k=x,A=g,T=t+1,S=e-1,E=0;u(_,w,r,n,d,p)&&(E=_,_=w,w=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E),u(_,M,r,n,d,p)&&(E=_,_=M,M=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(_,k,r,n,d,p)&&(E=_,_=k,k=E),u(M,k,r,n,d,p)&&(E=M,M=k,k=E),u(w,A,r,n,d,p)&&(E=w,w=A,A=E),u(w,M,r,n,d,p)&&(E=w,w=M,M=E),u(k,A,r,n,d,p)&&(E=k,k=A,A=E);var L=r[w],C=n[2*w],I=n[2*w+1],z=d[w],D=p[w],P=r[k],O=n[2*k],R=n[2*k+1],F=d[k],j=p[k],N=_,B=M,U=A,V=v,H=y,q=g,G=r[N],Y=r[B],W=r[U];r[V]=G,r[H]=Y,r[q]=W;for(var X=0;X<2;++X){var Z=n[2*N+X],J=n[2*B+X],K=n[2*U+X];n[2*V+X]=Z,n[2*H+X]=J,n[2*q+X]=K}var Q=d[N],$=d[B],tt=d[U];d[V]=Q,d[H]=$,d[q]=tt;var et=p[N],rt=p[B],nt=p[U];p[V]=et,p[H]=rt,p[q]=nt,o(b,t,r,n,d,p),o(x,e,r,n,d,p);for(var it=T;it<=S;++it)if(c(it,L,C,I,z,r,n,d))it!==T&&a(it,T,r,n,d,p),++T;else if(!c(it,P,O,R,F,r,n,d))for(;;){if(c(S,P,O,R,F,r,n,d)){c(S,L,C,I,z,r,n,d)?(s(it,T,S,r,n,d,p),++T,--S):(a(it,S,r,n,d,p),--S);break}if(--S<it)break}l(t,T-1,L,C,I,z,D,r,n,d,p),l(e,S+1,P,O,R,F,j,r,n,d,p),T-2-t<=f?i(t,T-2,r,n,d,p):h(t,T-2,r,n,d,p),e-(S+2)<=f?i(S+2,e,r,n,d,p):h(S+2,e,r,n,d,p),S-T<=f?i(T,S,r,n,d,p):h(T,S,r,n,d,p)}e.exports=n;var f=32},{}],242:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s){for(var l=r,u=r;u<n;++u){var c=t[2*u],h=t[2*u+1],f=e[u];i<=c&&c<=o&&a<=h&&h<=s&&(u===l?l+=1:(t[2*u]=t[2*l],t[2*u+1]=t[2*l+1],e[u]=e[l],t[2*l]=c,t[2*l+1]=h,e[l]=f,l+=1))}return l}function i(t,e,r){this.pixelSize=t,this.offset=e,this.count=r}function a(t,e,r,a){function l(i,a,o,s,u,c){var h=.5*o,f=s+1,d=u-s;r[_]=d,x[_++]=c;for(var p=0;p<2;++p)for(var m=0;m<2;++m){var v=i+p*h,g=a+m*h,y=n(t,e,f,u,v,g,v+h,g+h);if(y!==f){if(y-f>=Math.max(.9*d,32)){var b=u+s>>>1;l(v,g,h,f,b,c+1),f=b}l(v,g,h,f,y,c+1),f=y}}}var u=t.length>>>1;if(u<1)return[];for(var c=1/0,h=1/0,f=-1/0,d=-1/0,p=0;p<u;++p){var m=t[2*p],v=t[2*p+1];c=Math.min(c,m),f=Math.max(f,m),h=Math.min(h,v),d=Math.max(d,v),e[p]=p}c===f&&(f+=1+Math.abs(f)),h===d&&(d+=1+Math.abs(f));var g=1/(f-c),y=1/(d-h),b=Math.max(f-c,d-h);a=a||[0,0,0,0],a[0]=c,a[1]=h,a[2]=f,a[3]=d;var x=o.mallocInt32(u),_=0;l(c,h,b,0,u,0),s(x,t,e,r,u);for(var w=[],M=0,k=u,_=u-1;_>=0;--_){t[2*_]=(t[2*_]-c)*g,t[2*_+1]=(t[2*_+1]-h)*y;var A=x[_];A!==M&&(w.push(new i(b*Math.pow(.5,A),_+1,k-(_+1))),k=_+1,M=A)}return w.push(new i(b*Math.pow(.5,A+1),0,k)),o.free(x),w}var o=t("typedarray-pool"),s=t("./lib/sort");e.exports=a},{"./lib/sort":241,"typedarray-pool":541}],243:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.sizeBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.charBuffer=s,this.pointCount=0,this.pickOffset=0,this.points=null,this.scales=[],this.xCoords=[],this.charCanvas=document.createElement("canvas"),this.charTexture=m(this.plot.gl,this.charCanvas),this.charStep=400,this.charFit=.255,this.snapThreshold=1e4,this.paletteTexture=m(this.plot.gl,[256,1])}function i(){var t=this.plot,e=t.viewBox,r=t.dataBox,n=t.pixelRatio,i=r[2]-r[0],a=r[3]-r[1],u=2/i,c=2/a,h=-r[0]-.5*i,f=-r[1]-.5*a;_[0]=u,w[0]=u-_[0],_[1]=c,w[1]=c-_[1],M[0]=h,k[0]=h-M[0],M[1]=f,k[1]=f-M[1];var d=e[2]-e[0],p=e[3]-e[1];o=Math.min(i/d,a/p),A[0]=2*n/d,A[1]=2*n/p,s=r[0],l=r[2]}function a(t,e){var r=t.gl,i=u(r,f.vertex,f.fragment),a=u(r,f.pickVertex,f.pickFragment),o=c(r),s=c(r),l=c(r),h=c(r),d=c(r),p=new n(t,i,a,o,s,l,h,d);return p.update(e),t.addObject(p),p}e.exports=a;var o,s,l,u=t("gl-shader"),c=t("gl-buffer"),h=t("typedarray-pool"),f=t("./lib/shaders"),d=t("snap-points-2d"),p=t("font-atlas-sdf"),m=t("gl-texture2d"),v=t("color-id"),g=t("ndarray"),y=t("clamp"),b=t("binary-search-bounds"),x=n.prototype,_=new Float32Array([0,0]),w=new Float32Array([0,0]),M=new Float32Array([0,0]),k=new Float32Array([0,0]),A=[0,0],T=[0,0,0,0];x.drawPick=function(t){var e=void 0!==t,r=this.plot,n=this.pointCount,a=n>this.snapThreshold;if(!n)return t;i.call(this);var u=r.gl,c=e?this.pickShader:this.shader,h=u.isEnabled(u.BLEND);if(c.bind(),e){this.pickOffset=t;for(var f=0;f<4;++f)T[f]=t>>8*f&255;c.uniforms.pickOffset=T,this.idBuffer.bind(),c.attributes.id.pointer(u.UNSIGNED_BYTE,!1)}else u.blendFuncSeparate(u.SRC_ALPHA,u.ONE_MINUS_SRC_ALPHA,u.ONE,u.ONE_MINUS_SRC_ALPHA),u.blendColor(0,0,0,1),h||u.enable(u.BLEND),this.colorBuffer.bind(),c.attributes.color.pointer(u.UNSIGNED_BYTE,!1),this.charBuffer.bind(),c.attributes.char.pointer(u.UNSIGNED_BYTE,!1),c.uniforms.chars=this.charTexture.bind(0),c.uniforms.charsShape=[this.charCanvas.width,this.charCanvas.height],c.uniforms.charsStep=this.charStep,c.uniforms.palette=this.paletteTexture.bind(1);this.sizeBuffer.bind(),c.attributes.size.pointer(u.FLOAT,!1,8,0),e||c.attributes.border.pointer(u.FLOAT,!1,8,4),this.positionBuffer.bind(),c.attributes.positionHi.pointer(u.FLOAT,!1,16,0),c.attributes.positionLo.pointer(u.FLOAT,!1,16,8),c.uniforms.pixelRatio=r.pixelRatio,c.uniforms.scaleHi=_,c.uniforms.scaleLo=w,c.uniforms.translateHi=M,c.uniforms.translateLo=k,c.uniforms.viewBox=r.viewBox;var d=this.scales;if(a)for(var p=d.length-1;p>=0;p--){var m=d[p];if(!(m.pixelSize&&m.pixelSize<1.25*o&&p>1)){var v=m.offset,g=m.count+v,y=b.ge(this.xCoords,s,v,g-1),x=b.lt(this.xCoords,l,y,g-1)+1;x>y&&u.drawArrays(u.POINTS,y,x-y)}}else u.drawArrays(u.POINTS,0,n);if(e)return t+n;h?u.blendFunc(u.ONE,u.ONE_MINUS_SRC_ALPHA):u.disable(u.BLEND)},x.draw=x.drawPick,x.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}},x.update=function(t){t=t||{};var e=t.positions||[],r=t.colors||[],n=t.glyphs||[],i=t.sizes||[],a=t.borderWidths||[],o=t.borderColors||[],s=this.plot.gl,l=this.pointCount,u=l>this.snapThreshold;if(null!=t.positions){this.points=e,l=this.points.length/2,u=l>this.snapThreshold;var c=h.mallocFloat32(2*l),f=h.mallocFloat64(2*l),m=h.mallocUint32(l),b=h.mallocFloat32(4*l);f.set(this.points),u&&(this.i2idx&&h.free(this.i2idx),this.i2idx=h.mallocInt32(l),this.scales=d(f,this.i2idx,c)),this.pointCount=l;for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x;m[x]=_;var w=e[2*_],M=e[2*_+1];b[4*x]=w,b[4*x+1]=M,b[4*x+2]=w-b[4*x],b[4*x+3]=M-b[4*x+1],this.xCoords[x]=w}this.idBuffer.update(m),this.positionBuffer.update(b),h.free(b),h.free(m),h.free(f),h.free(c)}for(var k=h.mallocFloat32(2*l),A=h.mallocUint8(2*l),T=h.mallocUint8(2*l),S={},E=[],L=[],C=[],x=0,I=l,z=0;x<I;++x){var D=[255*r[4*x],255*r[4*x+1],255*r[4*x+2],255*r[4*x+3]],P=v(D,!1);null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),E.push(P),o&&o.length&&(D=[255*o[4*x],255*o[4*x+1],255*o[4*x+2],255*o[4*x+3]],P=v(D,!1),null==S[P]&&(S[P]=z++,L.push(D[0]),L.push(D[1]),L.push(D[2]),L.push(D[3])),C.push(P))}for(var O={},x=0,I=l,z=0;x<I;x++){var R=n[x];null==O[R]&&(O[R]=z++)}for(var F=0,x=0,I=i.length;x<I;++x)i[x]>F&&(F=i[x]);var j=this.charStep;this.charStep=y(Math.ceil(4*F),128,768);var N=Object.keys(O),B=this.charStep,U=Math.floor(B/2),V=s.getParameter(s.MAX_TEXTURE_SIZE),H=V/B*(V/B),q=Math.min(V,B*N.length),G=Math.min(V,B*Math.ceil(B*N.length/V)),Y=Math.floor(q/B);N.length>H&&console.warn("gl-scatter2d-fancy: number of characters is more than maximum texture size. Try reducing it."),this.chars&&this.chars+""==N+""&&this.charStep==j||(this.charCanvas=p({canvas:this.charCanvas,family:"sans-serif",size:U,shape:[q,G],step:[B,B],chars:N,align:!0,fit:this.charFit}),this.chars=N);for(var x=0;x<l;++x){var _=u?this.i2idx[x]:x,W=i[_],X=a[_];k[2*x]=2*W,k[2*x+1]=X;var P=E[_],Z=S[P];A[2*x]=Z;var J=C[_],K=S[J];A[2*x+1]=K;var R=n[_],Q=O[R];T[2*x+1]=Math.floor(Q/Y),T[2*x]=Q%Y}this.sizeBuffer.update(k),this.colorBuffer.update(A),this.charBuffer.update(T),this.charTexture.shape=[this.charCanvas.width,this.charCanvas.height],this.charCanvas&&this.charCanvas.width&&this.charTexture.setPixels(this.charCanvas),this.paletteTexture.setPixels(g(L.slice(0,1024),[256,1,4])),h.free(k),h.free(A),h.free(T)},x.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.sizeBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.charBuffer.dispose(),this.plot.removeObject(this)}},{"./lib/shaders":232,"binary-search-bounds":233,clamp:88,"color-id":92,"font-atlas-sdf":134,"gl-buffer":156,"gl-shader":234,"gl-texture2d":267,ndarray:467,"snap-points-2d":242,"typedarray-pool":541}],244:[function(t,e,r){r.pointVertex="precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 positionHi, positionLo;\nattribute float weight;\n\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\nuniform float pointSize, useWeight;\n\nvarying float fragWeight;\n\n\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\n return vec4((positionHi + translateHi) * scaleHi\n + (positionLo + translateLo) * scaleHi\n + (positionHi + translateHi) * scaleLo\n + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\n}\n\nvoid main() {\n gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\n gl_PointSize = pointSize;\n fragWeight = mix(1.0, weight, useWeight);\n}",r.pointFragment="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\n\nvarying float fragWeight;\n\nfloat smoothStep(float x, float y) {\n return 1.0 / (1.0 + exp(50.0*(x - y)));\n}\n\nvoid main() {\n float radius = length(2.0*gl_PointCoord.xy-1.0);\n if(radius > 1.0) {\n discard;\n }\n vec4 baseColor = mix(borderColor, color, smoothStep(radius, centerFraction));\n float alpha = 1.0 - pow(1.0 - baseColor.a, fragWeight);\n gl_FragColor = vec4(baseColor.rgb * alpha, alpha);\n}\n",r.pickVertex="precision highp float;\n#define GLSLIFY 1\n\nvec4 pfx_1_0(vec2 scaleHi, vec2 scaleLo, vec2 translateHi, vec2 translateLo, vec2 positionHi, vec2 positionLo) {\n return vec4((positionHi + translateHi) * scaleHi\n + (positionLo + translateLo) * scaleHi\n + (positionHi + translateHi) * scaleLo\n + (positionLo + translateLo) * scaleLo, 0.0, 1.0);\n}\n\nattribute vec2 positionHi, positionLo;\nattribute vec4 pickId;\n\nuniform vec2 scaleHi, scaleLo, translateHi, translateLo;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n gl_Position = pfx_1_0(scaleHi, scaleLo, translateHi, translateLo, positionHi, positionLo);\n gl_PointSize = pointSize;\n fragId = id;\n}",r.pickFragment="precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}"},{}],245:[function(t,e,r){arguments[4][84][0].apply(r,arguments)},{dup:84}],246:[function(t,e,r){arguments[4][241][0].apply(r,arguments)},{dup:241}],247:[function(t,e,r){arguments[4][242][0].apply(r,arguments)},{"./lib/sort":246,dup:242,"typedarray-pool":541}],248:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o){this.plot=t,this.positionBufferHi=e,this.positionBufferLo=r,this.pickBuffer=n,this.weightBuffer=i,this.shader=a,this.pickShader=o,this.scales=[],this.size=12,this.borderSize=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0,this.points=null,this.xCoords=null,this.snapPoints=!0}function i(t,e){var r=t.gl,i=o(r),s=o(r),l=o(r),u=o(r),h=a(r,c.pointVertex,c.pointFragment),f=a(r,c.pickVertex,c.pickFragment),d=new n(t,i,s,l,u,h,f);return d.update(e),t.addObject(d),d}var a=t("gl-shader"),o=t("gl-buffer"),s=t("binary-search-bounds"),l=t("snap-points-2d"),u=t("typedarray-pool"),c=t("./lib/shader"),h=t("array-normalize"),f=t("array-bounds");e.exports=i;var d=n.prototype,p=new Float32Array(2),m=new Float32Array(2),v=new Float32Array(2),g=new Float32Array(2),y=[0,0,0,0];d.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBufferHi.dispose(),this.positionBufferLo.dispose(),this.pickBuffer.dispose(),this.xCoords&&u.free(this.xCoords),this.plot.removeObject(this)},d.update=function(t){function e(e,r){return e in t?t[e]:r}if(t=t||{},this.size=e("size",12),this.color=e("color",[1,0,0,1]).slice(),this.borderSize=e("borderSize",1),this.borderColor=e("borderColor",[0,0,0,1]).slice(),this.snapPoints=e("snapPoints",!0),null!=t.positions){this.xCoords&&u.free(this.xCoords),this.points=t.positions;var r=this.points.length>>>1,n=u.mallocInt32(r),i=u.mallocFloat32(r),a=u.mallocFloat64(2*r);if(a.set(this.points),this.snapPoints)this.scales=l(a,n,i,this.bounds);else{this.bounds=f(a,2),h(a,2,this.bounds);for(var o=0;o<r;o++)n[o]=o,i[o]=1}var s=u.mallocFloat64(r),c=u.mallocFloat32(2*r),d=u.mallocFloat32(2*r);c.set(a);for(var o=0,p=0;o<r;o++,p+=2)d[p]=a[p]-c[p],d[p+1]=a[p+1]-c[p+1],s[o]=a[p];this.positionBufferHi.update(c),this.positionBufferLo.update(d),this.pickBuffer.update(n),this.weightBuffer.update(i),u.free(c),u.free(d),u.free(i),u.free(a),u.free(n),this.xCoords=s,this.pointCount=r,this.pickOffset=0}},d.draw=function(t){var e=void 0!==t,r=this.plot,n=e?this.pickShader:this.shader,i=this.scales,a=this.positionBufferHi,o=this.positionBufferLo,s=this.pickBuffer,l=this.bounds,u=this.size,c=this.borderSize,h=r.gl,f=e?r.pickPixelRatio:r.pixelRatio,d=r.viewBox,b=r.dataBox;if(0===this.pointCount)return t;var x=l[2]-l[0],_=l[3]-l[1],w=b[2]-b[0],M=b[3]-b[1],k=(d[2]-d[0])*f/r.pixelRatio,A=(d[3]-d[1])*f/r.pixelRatio,T=this.pixelSize=Math.min(w/k,M/A),S=2*x/w,E=2*_/M;p[0]=S,p[1]=E,m[0]=S-p[0],m[1]=E-p[1];var L=(l[0]-b[0]-.5*w)/x,C=(l[1]-b[1]-.5*M)/_;v[0]=L,v[1]=C,g[0]=L-v[0],g[1]=C-v[1],n.bind(),n.uniforms.scaleHi=p,n.uniforms.scaleLo=m,n.uniforms.translateHi=v,n.uniforms.translateLo=g,n.uniforms.color=this.color,n.uniforms.borderColor=this.borderColor,n.uniforms.pointSize=f*(u+c),n.uniforms.centerFraction=0===this.borderSize?2:u/(u+c+1.25),a.bind(),n.attributes.positionHi.pointer(),o.bind(),n.attributes.positionLo.pointer(),e?(this.pickOffset=t,y[0]=255&t,y[1]=t>>8&255,y[2]=t>>16&255,y[3]=t>>24&255,n.uniforms.pickOffset=y,s.bind(),n.attributes.pickId.pointer(h.UNSIGNED_BYTE)):(n.uniforms.useWeight=1,this.weightBuffer.bind(),n.attributes.weight.pointer());var I=!0;if(this.snapPoints)for(var z=i.length-1;z>=0;z--){var D=i[z];if(!(D.pixelSize<T&&z>1)){var P=this.getVisibleRange(D),O=P[0],R=P[1];R>O&&h.drawArrays(h.POINTS,O,R-O),!e&&I&&(I=!1,n.uniforms.useWeight=0)}}else h.drawArrays(h.POINTS,0,this.pointCount);return t+this.pointCount},d.getVisibleRange=function(t){var e=this.plot.dataBox,r=this.bounds,n=this.pixelSize,i=this.size,a=this.plot.pixelRatio,o=r[2]-r[0];r[3],r[1];if(!t)for(var t,l=this.scales.length-1;l>=0&&(t=this.scales[l],t.pixelSize<n&&l>1);l--);var u=this.xCoords,c=(e[0]-r[0]-n*i*a)/o,h=(e[2]-r[0]+n*i*a)/o,f=t.offset,d=t.count+f,p=s.ge(u,c,f,d-1);return[p,s.lt(u,h,p,d-1)+1]},d.drawPick=d.draw,d.pick=function(t,e,r){var n=r-this.pickOffset;return n<0||n>=this.pointCount?null:{object:this,pointId:n,dataCoord:[this.points[2*n],this.points[2*n+1]]}}},{"./lib/shader":244,"array-bounds":44,"array-normalize":45,"binary-search-bounds":245,"gl-buffer":156,"gl-shader":255,"snap-points-2d":247,"typedarray-pool":541}],249:[function(t,e,r){"use strict";function n(t,e){var r=a[e];if(r||(r=a[e]={}),t in r)return r[t];for(var n=i(t,{textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),o=i(t,{triangles:!0,textAlign:"center",textBaseline:"middle",lineHeight:1,font:e}),s=[[1/0,1/0],[-1/0,-1/0]],l=0;l<n.positions.length;++l)for(var u=n.positions[l],c=0;c<2;++c)s[0][c]=Math.min(s[0][c],u[c]),s[1][c]=Math.max(s[1][c],u[c]);return r[t]=[o,n,s]}var i=t("vectorize-text");e.exports=n;var a={}},{"vectorize-text":554}],250:[function(t,e,r){function n(t,e){var r=i(t,e),n=r.attributes;return n.position.location=0,n.color.location=1,n.glyph.location=2,n.id.location=3,r}var i=t("gl-shader"),a="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || \n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n \n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) || any(greaterThan(position, clipBounds[1]))) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n \n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}",s="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(position, clipBounds[0])) ||\n any(greaterThan(position, clipBounds[1])) ) {\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n",l="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) ||\n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = interpColor * opacity;\n }\n}\n",u="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if(any(lessThan(dataCoordinate, fragClipBounds[0])) || \n any(greaterThan(dataCoordinate, fragClipBounds[1])) ) {\n discard;\n } else {\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n }\n}",c=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],h={vertex:a,fragment:l,attributes:c},f={vertex:o,fragment:l,attributes:c},d={vertex:s,fragment:l,attributes:c},p={vertex:a,fragment:u,attributes:c},m={vertex:o,fragment:u,attributes:c},v={vertex:s,fragment:u,attributes:c};r.createPerspective=function(t){return n(t,h)},r.createOrtho=function(t){return n(t,f)},r.createProject=function(t){return n(t,d)},r.createPickPerspective=function(t){return n(t,p)},r.createPickOrtho=function(t){return n(t,m)},r.createPickProject=function(t){return n(t,v)}},{"gl-shader":255}],251:[function(t,e,r){"use strict";function n(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function i(t,e,r,i){return n(i,i,r),n(i,i,e),n(i,i,t)}function a(t,e){this.index=t,this.dataCoordinate=this.position=e}function o(t,e,r,n,i,o,s,l,u,c,h,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=o,this.glyphBuffer=s,this.idBuffer=l,this.vao=u,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=h,this.pickProjectShader=f,this.points=[],this._selectResult=new a(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}function s(t){return t[0]=t[1]=t[2]=0,t}function l(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function u(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function c(t){for(var e=L,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}function h(t,e,r,n,a){var o,h=e.axesProject,f=e.gl,d=t.uniforms,p=r.model||x,m=r.view||x,v=r.projection||x,y=e.axesBounds,b=c(e.clipBounds);o=e.axes?e.axes.lastCubeProps.axis:[1,1,1],w[0]=2/f.drawingBufferWidth,w[1]=2/f.drawingBufferHeight,t.bind(),d.view=m,d.projection=v,d.screenSize=w,d.highlightId=e.highlightId,d.highlightScale=e.highlightScale,d.clipBounds=b, -d.pickGroup=e.pickId/255,d.pixelRatio=e.pixelRatio;for(var _=0;_<3;++_)if(h[_]&&e.projectOpacity[_]<1===n){d.scale=e.projectScale[_],d.opacity=e.projectOpacity[_];for(var L=S,C=0;C<16;++C)L[C]=0;for(var C=0;C<4;++C)L[5*C]=1;L[5*_]=0,o[_]<0?L[12+_]=y[0][_]:L[12+_]=y[1][_],g(L,p,L),d.model=L;var I=(_+1)%3,z=(_+2)%3,D=s(M),P=s(k);D[I]=1,P[z]=1;var O=i(v,m,p,l(A,D)),R=i(v,m,p,l(T,P));if(Math.abs(O[1])>Math.abs(R[1])){var F=O;O=R,R=F,F=D,D=P,P=F;var j=I;I=z,z=j}O[0]<0&&(D[I]=-1),R[1]>0&&(P[z]=-1);for(var N=0,B=0,C=0;C<4;++C)N+=Math.pow(p[4*I+C],2),B+=Math.pow(p[4*z+C],2);D[I]/=Math.sqrt(N),P[z]/=Math.sqrt(B),d.axes[0]=D,d.axes[1]=P,d.fragClipBounds[0]=u(E,b[0],_,-1e8),d.fragClipBounds[1]=u(E,b[1],_,1e8),e.vao.draw(f.TRIANGLES,e.vertexCount),e.lineWidth>0&&(f.lineWidth(e.lineWidth),e.vao.draw(f.LINES,e.lineVertexCount,e.vertexCount))}}function f(t,e,r,n,i,a){var o=r.gl;if(r.vao.bind(),i===r.opacity<1||a){t.bind();var s=t.uniforms;s.model=n.model||x,s.view=n.view||x,s.projection=n.projection||x,w[0]=2/o.drawingBufferWidth,w[1]=2/o.drawingBufferHeight,s.screenSize=w,s.highlightId=r.highlightId,s.highlightScale=r.highlightScale,s.fragClipBounds=z,s.clipBounds=r.axes.bounds,s.opacity=r.opacity,s.pickGroup=r.pickId/255,s.pixelRatio=r.pixelRatio,r.vao.draw(o.TRIANGLES,r.vertexCount),r.lineWidth>0&&(o.lineWidth(r.lineWidth),r.vao.draw(o.LINES,r.lineVertexCount,r.vertexCount))}h(e,r,n,i,a),r.vao.unbind()}function d(t){var e=t.gl,r=y.createPerspective(e),n=y.createOrtho(e),i=y.createProject(e),a=y.createPickPerspective(e),s=y.createPickOrtho(e),l=y.createPickProject(e),u=p(e),c=p(e),h=p(e),f=p(e),d=m(e,[{buffer:u,size:3,type:e.FLOAT},{buffer:c,size:4,type:e.FLOAT},{buffer:h,size:2,type:e.FLOAT},{buffer:f,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new o(e,r,n,i,u,c,h,f,d,a,s,l);return v.update(t),v}var p=t("gl-buffer"),m=t("gl-vao"),v=t("typedarray-pool"),g=t("gl-mat4/multiply"),y=t("./lib/shaders"),b=t("./lib/glyphs"),x=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];e.exports=d;var _=o.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.opacity<1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]<1)return!0;return!1},_.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectOpacity[t]>=1)return!0;return!1};var w=[0,0],M=[0,0,0],k=[0,0,0],A=[0,0,0,1],T=[0,0,0,1],S=x.slice(),E=[0,0,0],L=[[0,0,0],[0,0,0]],C=[-1e8,-1e8,-1e8],I=[1e8,1e8,1e8],z=[C,I];_.draw=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!1,!1)},_.drawTransparent=function(t){f(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,!0,!1)},_.drawPick=function(t){f(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,!1,!0)},_.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},_.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},_.update=function(t){if(t=t||{},"perspective"in t&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if("projectOpacity"in t)if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{var r=+t.projectOpacity;this.projectOpacity=[r,r,r]}"opacity"in t&&(this.opacity=t.opacity),this.dirty=!0;var n=t.position;if(n){var i=t.font||"normal",a=t.alignment||[0,0],o=[1/0,1/0,1/0],s=[-1/0,-1/0,-1/0],l=t.glyph,u=t.color,c=t.size,h=t.angle,f=t.lineColor,d=0,p=0,m=0,g=n.length;t:for(var y=0;y<g;++y){for(var x=n[y],_=0;_<3;++_)if(isNaN(x[_])||!isFinite(x[_]))continue t;var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var M=w[0],k=w[1],A=w[2];p+=3*M.cells.length,m+=2*k.edges.length}var T=p+m,S=v.mallocFloat(3*T),E=v.mallocFloat(4*T),L=v.mallocFloat(2*T),C=v.mallocUint32(T),I=[0,a[1]],z=0,D=p,P=[0,0,0,1],O=[0,0,0,1],R=Array.isArray(u)&&Array.isArray(u[0]),F=Array.isArray(f)&&Array.isArray(f[0]);t:for(var y=0;y<g;++y){for(var x=n[y],_=0;_<3;++_){if(isNaN(x[_])||!isFinite(x[_])){d+=1;continue t}s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_])}var w;w=Array.isArray(l)?b(l[y],i):l?b(l,i):b("\u25cf",i);var M=w[0],k=w[1],A=w[2];if(Array.isArray(u)){var j;if(j=R?u[y]:u,3===j.length){for(var _=0;_<3;++_)P[_]=j[_];P[3]=1}else if(4===j.length)for(var _=0;_<4;++_)P[_]=j[_]}else P[0]=P[1]=P[2]=0,P[3]=1;if(Array.isArray(f)){var j;if(j=F?f[y]:f,3===j.length){for(var _=0;_<3;++_)O[_]=j[_];O[_]=1}else if(4===j.length)for(var _=0;_<4;++_)O[_]=j[_]}else O[0]=O[1]=O[2]=0,O[3]=1;var N=.5;Array.isArray(c)?N=+c[y]:c?N=+c:this.useOrtho&&(N=12);var B=0;Array.isArray(h)?B=+h[y]:h&&(B=+h);for(var U=Math.cos(B),V=Math.sin(B),x=n[y],_=0;_<3;++_)s[_]=Math.max(s[_],x[_]),o[_]=Math.min(o[_],x[_]);a[0]<0?I[0]=a[0]*(1+A[1][0]):a[0]>0&&(I[0]=-a[0]*(1+A[0][0]));for(var H=M.cells,q=M.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<3;++Y){for(var W=0;W<3;++W)S[3*z+W]=x[W];for(var W=0;W<4;++W)E[4*z+W]=P[W];C[z]=d;var X=q[G[Y]];L[2*z]=N*(U*X[0]-V*X[1]+I[0]),L[2*z+1]=N*(V*X[0]+U*X[1]+I[1]),z+=1}for(var H=k.edges,q=k.positions,_=0;_<H.length;++_)for(var G=H[_],Y=0;Y<2;++Y){for(var W=0;W<3;++W)S[3*D+W]=x[W];for(var W=0;W<4;++W)E[4*D+W]=O[W];C[D]=d;var X=q[G[Y]];L[2*D]=N*(U*X[0]-V*X[1]+I[0]),L[2*D+1]=N*(V*X[0]+U*X[1]+I[1]),D+=1}d+=1}this.vertexCount=p,this.lineVertexCount=m,this.pointBuffer.update(S),this.colorBuffer.update(E),this.glyphBuffer.update(L),this.idBuffer.update(new Uint32Array(C)),v.free(S),v.free(E),v.free(L),v.free(C),this.bounds=[o,s],this.points=n,this.pointCount=n.length}},_.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{"./lib/glyphs":249,"./lib/shaders":250,"gl-buffer":156,"gl-mat4/multiply":183,"gl-vao":271,"typedarray-pool":541}],252:[function(t,e,r){"use strict";r.boxVertex="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n",r.boxFragment="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n gl_FragColor = color;\n}\n"},{}],253:[function(t,e,r){"use strict";function n(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}function i(t,e){var r=t.gl,i=o(r,[0,0,0,1,1,0,1,1]),l=a(r,s.boxVertex,s.boxFragment),u=new n(t,i,l);return u.update(e),t.addOverlay(u),u}var a=t("gl-shader"),o=t("gl-buffer"),s=t("./lib/shaders");e.exports=i;var l=n.prototype;l.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,h=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],f=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],d=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],p=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(h=Math.max(h,u[0]),f=Math.max(f,u[1]),d=Math.min(d,u[2]),p=Math.min(p,u[3]),!(d<h||p<f)){o.bind();var m=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,m,f,i),o.drawBox(0,f,h,p,i),o.drawBox(0,p,m,v,i),o.drawBox(d,f,m,p,i)),this.innerFill&&o.drawBox(h,f,d,p,n),r>0){var g=r*c;o.drawBox(h-g,f-g,d+g,f+g,a),o.drawBox(h-g,p-g,d+g,p+g,a),o.drawBox(h-g,f-g,h+g,p+g,a),o.drawBox(d-g,f-g,d+g,p+g,a)}}}},l.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},l.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{"./lib/shaders":252,"gl-buffer":156,"gl-shader":255}],254:[function(t,e,r){"use strict";function n(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function i(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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Array(r.length);a(),d._relink=a,d.types={uniforms:l(r),attributes:l(n)},d.attributes=s(p,d,b,_),Object.defineProperty(d,"uniforms",o(p,d,r,E))},e.exports=a},{"./lib/GLError":256,"./lib/create-attributes":257,"./lib/create-uniforms":258,"./lib/reflect":259,"./lib/runtime-reflect":260,"./lib/shader-cache":261}],256:[function(t,e,r){arguments[4][213][0].apply(r,arguments)},{dup:213}],257:[function(t,e,r){arguments[4][214][0].apply(r,arguments)},{"./GLError":256,dup:214}],258:[function(t,e,r){arguments[4][215][0].apply(r,arguments)},{"./GLError":256,"./reflect":259,dup:215}],259:[function(t,e,r){arguments[4][216][0].apply(r,arguments)},{dup:216}],260:[function(t,e,r){arguments[4][217][0].apply(r,arguments)},{dup:217}],261:[function(t,e,r){arguments[4][218][0].apply(r,arguments)},{"./GLError":256,dup:218,"gl-format-compiler-error":165,"weakmap-shim":562}],262:[function(t,e,r){"use strict";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}function i(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r}e.exports=i;var a=n.prototype;a.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map(function(t){return t.slice()}),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},a.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var 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t&&(this.drawSides=t.drawSides))},u.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":263,"gl-buffer":156,"gl-vao":271}],265:[function(t,e,r){var n=t("gl-shader"),i="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n worldCoordinate = vec3(uv.zw, f.x);\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n vec4 clipPosition = projection * view * worldPosition;\n gl_Position = clipPosition;\n kill = f.y;\n value = f.z;\n planeCoordinate = uv.xy;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = 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kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n",o="precision mediump float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n vec4 worldPosition = model * vec4(dataCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z = clipPosition.z + zOffset;\n\n gl_Position = clipPosition;\n value = f;\n kill = -1.0;\n worldCoordinate = dataCoordinate;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n",s="precision mediump float;\n#define GLSLIFY 1\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if(kill > 0.0 ||\n any(lessThan(worldCoordinate, clipBounds[0])) || any(greaterThan(worldCoordinate, clipBounds[1]))) {\n discard;\n }\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n";r.createShader=function(t){var e=n(t,i,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,o,a,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,o,s,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":255}],266:[function(t,e,r){"use strict";function n(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function i(t){var e=x([y({colormap:t,nshades:R,format:"rgba"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return b.divseq(e,255),e}function a(t,e,r,i,a,o,s,l,u,c,h,f,d,p){this.gl=t,this.shape=e,this.bounds=r,this.intensityBounds=[],this._shader=i,this._pickShader=a,this._coordinateBuffer=o,this._vao=s,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=f,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new n([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=p,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[_(g.mallocFloat(1024),[0,0]),_(g.mallocFloat(1024),[0,0]),_(g.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}function o(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||j,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=N.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],M(l,t.model,l);var u=N.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return N.showSurface=o,N.showContour=s,N}function s(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=B;n.model=t.model||D,n.view=t.view||D,n.projection=t.projection||D,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.contourColor=this.contourColor[0],n.inverseModel=k(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],s=0;s<3;++s)a[s]=Math.min(Math.max(this.clipBounds[i][s],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=V,n.vertexColor=this.vertexColor;var l=U;for(M(l,n.view,n.model),M(l,n.projection,l),k(l,l),i=0;i<3;++i)n.eyePosition[i]=l[12+i]/l[15];var u=l[15];for(i=0;i<3;++i)u+=this.lightPosition[i]*l[4*i+3];for(i=0;i<3;++i){var c=l[12+i];for(s=0;s<3;++s)c+=l[4*s+i]*this.lightPosition[s];n.lightPosition[i]=c/u}var h=o(n,this);if(h.showSurface&&e===this.opacity<1){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=h.projections[i],this._shader.uniforms.clipBounds=h.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(h.showContour&&!e){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var d=this._contourVAO;for(d.bind(),i=0;i<3;++i)for(f.uniforms.permutation=O[i],r.lineWidth(this.contourWidth[i]),s=0;s<this.contourLevels[i].length;++s)this._contourCounts[i][s]&&(s===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==s&&s-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),f.uniforms.height=this.contourLevels[i][s],d.draw(r.LINES,this._contourCounts[i][s],this._contourOffsets[i][s]));for(i=0;i<3;++i)for(f.uniforms.model=h.projections[i],f.uniforms.clipBounds=h.clipBounds[i],s=0;s<3;++s)if(this.contourProject[i][s]){f.uniforms.permutation=O[s],r.lineWidth(this.contourWidth[s]);for(var p=0;p<this.contourLevels[s].length;++p)p===this.highlightLevel[s]?(f.uniforms.contourColor=this.highlightColor[s],f.uniforms.contourTint=this.highlightTint[s]):0!==p&&p-1!==this.highlightLevel[s]||(f.uniforms.contourColor=this.contourColor[s],f.uniforms.contourTint=this.contourTint[s]),f.uniforms.height=this.contourLevels[s][p],d.draw(r.LINES,this._contourCounts[s][p],this._contourOffsets[s][p])}for(d=this._dynamicVAO,d.bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=O[i],r.lineWidth(this.dynamicWidth[i]),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),s=0;s<3;++s)this.contourProject[s][i]&&(f.uniforms.model=h.projections[s],f.uniforms.clipBounds=h.clipBounds[s],d.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));d.unbind()}}function l(t,e){var r=e.shape.slice(),n=t.shape.slice();b.assign(t.lo(1,1).hi(r[0],r[1]),e),b.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),b.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),b.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),b.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))}function u(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function c(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function h(t){if(Array.isArray(t)){if(Array.isArray(t))return[c(t[0]),c(t[1]),c(t[2])];var e=c(t);return[e.slice(),e.slice(),e.slice()]}}function f(t){var e=t.gl,r=E(e),n=C(e),i=L(e),o=I(e),s=p(e),l=m(e,[{buffer:s,size:4,stride:z,offset:0},{buffer:s,size:3,stride:z,offset:16},{buffer:s,size:3,stride:z,offset:28}]),u=p(e),c=m(e,[{buffer:u,size:4,stride:20,offset:0},{buffer:u,size:1,stride:20,offset:16}]),h=p(e),f=m(e,[{buffer:h,size:2,type:e.FLOAT}]),d=v(e,1,R,e.RGBA,e.UNSIGNED_BYTE);d.minFilter=e.LINEAR,d.magFilter=e.LINEAR;var g=new a(e,[0,0],[[0,0,0],[0,0,0]],r,n,s,l,d,i,o,u,c,h,f),y={levels:[[],[],[]]};for(var b in t)y[b]=t[b];return y.colormap=y.colormap||"jet",g.update(y),g}e.exports=f -;var d=t("bit-twiddle"),p=t("gl-buffer"),m=t("gl-vao"),v=t("gl-texture2d"),g=t("typedarray-pool"),y=t("colormap"),b=t("ndarray-ops"),x=t("ndarray-pack"),_=t("ndarray"),w=t("surface-nets"),M=t("gl-mat4/multiply"),k=t("gl-mat4/invert"),A=t("binary-search-bounds"),T=t("ndarray-gradient"),S=t("./lib/shaders"),E=S.createShader,L=S.createContourShader,C=S.createPickShader,I=S.createPickContourShader,z=40,D=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],P=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],O=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];!function(){for(var t=0;t<3;++t){var e=O[t],r=(t+1)%3,n=(t+2)%3;e[r+0]=1,e[n+3]=1,e[t+6]=1}}();var R=256,F=a.prototype;F.isTransparent=function(){return this.opacity<1},F.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},F.pickSlots=1,F.setPickBase=function(t){this.pickId=t};var j=[0,0,0],N={showSurface:!1,showContour:!1,projections:[D.slice(),D.slice(),D.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]},B={model:D,view:D,projection:D,inverseModel:D.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},U=D.slice(),V=[1,0,0,0,1,0,0,0,1];F.draw=function(t){return s.call(this,t,!1)},F.drawTransparent=function(t){return s.call(this,t,!0)};var H={model:D,view:D,projection:D,inverseModel:D,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};F.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=H;r.model=t.model||D,r.view=t.view||D,r.projection=t.projection||D,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.permutation=V;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var s=o(r,this);if(s.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=s.projections[n],this._pickShader.uniforms.clipBounds=s.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(s.showContour){var l=this._contourPickShader;l.bind(),l.uniforms=r;var u=this._contourVAO;for(u.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]),l.uniforms.permutation=O[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(l.uniforms.height=this.contourLevels[a][n],u.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(l.uniforms.model=s.projections[n],l.uniforms.clipBounds=s.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){l.uniforms.permutation=O[a],e.lineWidth(this.contourWidth[a]);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(l.uniforms.height=this.contourLevels[a][c],u.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}u.unbind()}},F.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var h=c?a:1-a,f=0;f<2;++f)for(var d=f?l:1-l,p=i+c,m=s+f,v=h*d,g=0;g<3;++g)u[g]+=this._field[g].get(p,m)*v;for(var y=this._pickResult.level,b=0;b<3;++b)if(y[b]=A.le(this.contourLevels[b],u[b]),y[b]<0)this.contourLevels[b].length>0&&(y[b]=0);else if(y[b]<this.contourLevels[b].length-1){var x=this.contourLevels[b][y[b]],_=this.contourLevels[b][y[b]+1];Math.abs(x-u[b])>Math.abs(_-u[b])&&(y[b]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],g=0;g<3;++g)r.dataCoordinate[g]=this._field[g].get(r.index[0],r.index[1]);return r},F.update=function(t){t=t||{},this.dirty=!0,"contourWidth"in t&&(this.contourWidth=u(t.contourWidth,Number)),"showContour"in t&&(this.showContour=u(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=u(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=h(t.contourColor)),"contourProject"in t&&(this.contourProject=u(t.contourProject,function(t){return u(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=h(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=u(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=u(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var n=(e.shape[0]+2)*(e.shape[1]+2);n>this._field[2].data.length&&(g.freeFloat(this._field[2].data),this._field[2].data=g.mallocFloat(d.nextPow2(n))),this._field[2]=_(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),l(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(g.freeFloat(this._field[o].data),this._field[o].data=g.mallocFloat(this._field[2].size)),this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var s=t.coords;if(!Array.isArray(s)||3!==s.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var c=s[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error("gl-surface: coords have incorrect shape");l(this._field[o],c)}}else if(t.ticks){var f=t.ticks;if(!Array.isArray(f)||2!==f.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var p=f[o];if((Array.isArray(p)||p.length)&&(p=_(p)),p.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var m=_(p.data,a);m.stride[o]=p.stride[0],m.stride[1^o]=0,l(this._field[o],m)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=_(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var b=this._field,x=_(g.mallocFloat(3*b[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)T(x.pick(o),b[o],"mirror");var M=_(g.mallocFloat(3*b[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var k=x.get(0,o,y,0),A=x.get(0,o,y,1),S=x.get(1,o,y,0),E=x.get(1,o,y,1),L=x.get(2,o,y,0),C=x.get(2,o,y,1),I=S*C-E*L,z=L*A-C*k,D=k*E-A*S,O=Math.sqrt(I*I+z*z+D*D);O<1e-8?(O=Math.max(Math.abs(I),Math.abs(z),Math.abs(D)),O<1e-8?(D=1,z=I=0,O=1):O=1/O):O=1/Math.sqrt(O),M.set(o,y,0,I*O),M.set(o,y,1,z*O),M.set(o,y,2,D*O)}g.free(x.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],j=1/0,N=-1/0,B=(a[0]-1)*(a[1]-1)*6,U=g.mallocFloat(d.nextPow2(10*B)),V=0,H=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var q=0;q<2;++q)for(var G=0;G<2;++G)for(var Y=0;Y<3;++Y){var W=this._field[Y].get(1+o+q,1+y+G);if(isNaN(W)||!isFinite(W))continue t}for(Y=0;Y<6;++Y){var X=o+P[Y][0],Z=y+P[Y][1],J=this._field[0].get(X+1,Z+1),K=this._field[1].get(X+1,Z+1);W=this._field[2].get(X+1,Z+1);var Q=W;I=M.get(X+1,Z+1,0),z=M.get(X+1,Z+1,1),D=M.get(X+1,Z+1,2),t.intensity&&(Q=t.intensity.get(X,Z)),U[V++]=X,U[V++]=Z,U[V++]=J,U[V++]=K,U[V++]=W,U[V++]=0,U[V++]=Q,U[V++]=I,U[V++]=z,U[V++]=D,R[0]=Math.min(R[0],J),R[1]=Math.min(R[1],K),R[2]=Math.min(R[2],W),j=Math.min(j,Q),F[0]=Math.max(F[0],J),F[1]=Math.max(F[1],K),F[2]=Math.max(F[2],W),N=Math.max(N,Q),H+=1}}for(t.intensityBounds&&(j=+t.intensityBounds[0],N=+t.intensityBounds[1]),o=6;o<V;o+=10)U[o]=(U[o]-j)/(N-j);this._vertexCount=H,this._coordinateBuffer.update(U.subarray(0,V)),g.freeFloat(U),g.free(M.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===j&&this.intensityBounds[1]===N||(r=!0),this.intensityBounds=[j,N]}if("levels"in t){var $=t.levels;for($=Array.isArray($[0])?$.slice():[[],[],$],o=0;o<3;++o)$[o]=$[o].slice(),$.sort(function(t,e){return t-e});t:for(o=0;o<3;++o){if($[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<$[o].length;++y)if($[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=$}if(r){b=this._field,a=this.shape;for(var tt=[],et=0;et<3;++et){$=this.contourLevels[et];var rt=[],nt=[],it=[0,0,0];for(o=0;o<$.length;++o){var at=w(this._field[et],$[o]);rt.push(tt.length/5|0),H=0;t:for(y=0;y<at.cells.length;++y){var ot=at.cells[y];for(Y=0;Y<2;++Y){var st=at.positions[ot[Y]],lt=st[0],ut=0|Math.floor(lt),ct=lt-ut,ht=st[1],ft=0|Math.floor(ht),dt=ht-ft,pt=!1;e:for(var mt=0;mt<3;++mt){it[mt]=0;var vt=(et+mt+1)%3;for(q=0;q<2;++q){var gt=q?ct:1-ct;for(X=0|Math.min(Math.max(ut+q,0),a[0]),G=0;G<2;++G){var yt=G?dt:1-dt;if(Z=0|Math.min(Math.max(ft+G,0),a[1]),W=mt<2?this._field[vt].get(X,Z):(this.intensity.get(X,Z)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(W)||isNaN(W)){pt=!0;break e}var bt=gt*yt;it[mt]+=bt*W}}}if(pt){if(Y>0){for(var xt=0;xt<5;++xt)tt.pop();H-=1}continue t}tt.push(it[0],it[1],st[0],st[1],it[2]),H+=1}}nt.push(H)}this._contourOffsets[et]=rt,this._contourCounts[et]=nt}var _t=g.mallocFloat(tt.length);for(o=0;o<tt.length;++o)_t[o]=tt[o];this._contourBuffer.update(_t),g.freeFloat(_t)}t.colormap&&this._colorMap.setPixels(i(t.colormap))},F.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)g.freeFloat(this._field[t].data)},F.highlight=function(t){if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(var e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;var r;if(r=this.snapToData?t.dataCoordinate:t.position,this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=g.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var s=(o+1)%3,l=(o+2)%3,u=this._field[o],c=this._field[s],h=this._field[l],f=(this.intensity,w(u,r[o])),d=f.cells,p=f.positions;for(this._dynamicOffsets[o]=n,e=0;e<d.length;++e)for(var m=d[e],v=0;v<2;++v){var y=p[m[v]],b=+y[0],x=0|b,_=0|Math.min(x+1,i[0]),M=b-x,k=1-M,A=+y[1],T=0|A,S=0|Math.min(T+1,i[1]),E=A-T,L=1-E,C=k*L,I=k*E,z=M*L,D=M*E,P=C*c.get(x,T)+I*c.get(x,S)+z*c.get(_,T)+D*c.get(_,S),O=C*h.get(x,T)+I*h.get(x,S)+z*h.get(_,T)+D*h.get(_,S);if(isNaN(P)||isNaN(O)){v&&(n-=1);break}a[2*n+0]=P,a[2*n+1]=O,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),g.freeFloat(a)}}},{"./lib/shaders":265,"binary-search-bounds":66,"bit-twiddle":67,colormap:99,"gl-buffer":156,"gl-mat4/invert":181,"gl-mat4/multiply":183,"gl-texture2d":267,"gl-vao":271,ndarray:467,"ndarray-gradient":458,"ndarray-ops":461,"ndarray-pack":462,"surface-nets":531,"typedarray-pool":541}],267:[function(t,e,r){"use strict";function n(t){g=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],y=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],b=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function i(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}function a(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function o(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}function s(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function l(t,e,r,n,i,a,o,l){var u=l.dtype,c=l.shape.slice();if(c.length<2||c.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var h=0,f=0,d=s(c,l.stride.slice());"float32"===u?h=t.FLOAT:"float64"===u?(h=t.FLOAT,d=!1,u="float32"):"uint8"===u?h=t.UNSIGNED_BYTE:(h=t.UNSIGNED_BYTE,d=!1,u="uint8");if(2===c.length)f=t.LUMINANCE,c=[c[0],c[1],1],l=p(l.data,c,[l.stride[0],l.stride[1],1],l.offset);else{if(3!==c.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===c[2])f=t.ALPHA;else if(2===c[2])f=t.LUMINANCE_ALPHA;else if(3===c[2])f=t.RGB;else{if(4!==c[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");f=t.RGBA}c[2]}if(f!==t.LUMINANCE&&f!==t.ALPHA||i!==t.LUMINANCE&&i!==t.ALPHA||(f=i),f!==i)throw new Error("gl-texture2d: Incompatible texture format for setPixels");var g=l.size,y=o.indexOf(n)<0;if(y&&o.push(n),h===a&&d)0===l.offset&&l.data.length===g?y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data):y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,l.data.subarray(l.offset,l.offset+g)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,l.data.subarray(l.offset,l.offset+g));else{var b;b=a===t.FLOAT?v.mallocFloat32(g):v.mallocUint8(g);var _=p(b,c,[c[2],c[2]*c[0],1]);h===t.FLOAT&&a===t.UNSIGNED_BYTE?x(_,l):m.assign(_,l),y?t.texImage2D(t.TEXTURE_2D,n,i,c[0],c[1],0,i,a,b.subarray(0,g)):t.texSubImage2D(t.TEXTURE_2D,n,e,r,c[0],c[1],i,a,b.subarray(0,g)),a===t.FLOAT?v.freeFloat32(b):v.freeUint8(b)}}function u(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function c(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture shape");if(i===t.FLOAT&&!t.getExtension("OES_texture_float"))throw new Error("gl-texture2d: Floating point textures not supported on this platform");var s=u(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new o(t,s,e,r,n,i)}function h(t,e,r,n,i,a){var s=u(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new o(t,s,r,n,i,a)}function f(t,e){var r=e.dtype,n=e.shape.slice(),i=t.getParameter(t.MAX_TEXTURE_SIZE);if(n[0]<0||n[0]>i||n[1]<0||n[1]>i)throw new Error("gl-texture2d: Invalid texture size");var a=s(n,e.stride.slice()),l=0;"float32"===r?l=t.FLOAT:"float64"===r?(l=t.FLOAT,a=!1,r="float32"):"uint8"===r?l=t.UNSIGNED_BYTE:(l=t.UNSIGNED_BYTE,a=!1,r="uint8");var c=0;if(2===n.length)c=t.LUMINANCE,n=[n[0],n[1],1],e=p(e.data,n,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==n.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===n[2])c=t.ALPHA;else if(2===n[2])c=t.LUMINANCE_ALPHA;else if(3===n[2])c=t.RGB;else{if(4!==n[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");c=t.RGBA}}l!==t.FLOAT||t.getExtension("OES_texture_float")||(l=t.UNSIGNED_BYTE,a=!1);var h,f,d=e.size;if(a)h=0===e.offset&&e.data.length===d?e.data:e.data.subarray(e.offset,e.offset+d);else{var g=[n[2],n[2]*n[0],1];f=v.malloc(d,r);var y=p(f,n,g,0);"float32"!==r&&"float64"!==r||l!==t.UNSIGNED_BYTE?m.assign(y,e):x(y,e),h=f.subarray(0,d)}var b=u(t);return t.texImage2D(t.TEXTURE_2D,0,c,n[0],n[1],0,c,l,h),a||v.free(f),new o(t,b,n[0],n[1],c,l)}function d(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");if(g||n(t),"number"==typeof arguments[1])return c(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return c(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=i(e)?e:e.raw;if(r)return h(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return f(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")}var p=t("ndarray"),m=t("ndarray-ops"),v=t("typedarray-pool");e.exports=d;var g=null,y=null,b=null,x=function(t,e){m.muls(t,e,255)},_=o.prototype;Object.defineProperties(_,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&g.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&g.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),y.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),b.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),b.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(b.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return a(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return t|=0,a(this,t,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,a(this,this._shape[0],t),t}}}),_.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},_.dispose=function(){this.gl.deleteTexture(this.handle)},_.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},_.setPixels=function(t,e,r,n){var a=this.gl;this.bind(),Array.isArray(e)?(n=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),n=n||0;var 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d=this.orient();if(d>0)return u;u.lastVisited=-n,0===d&&o.push(u)}}}return null},f.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,u=s.adjacent,c=0;c<=n;++c)a[c]=i[l[c]];s.lastVisited=r;for(var c=0;c<=n;++c){var h=u[c];if(!(h.lastVisited>=r)){var f=a[c];a[c]=t;var d=this.orient();if(a[c]=f,d<0){s=h;continue t}h.boundary?h.lastVisited=-r:h.lastVisited=r}}return}return s},f.addPeaks=function(t,e){var r=this.vertices.length-1,o=this.dimension,s=this.vertices,l=this.tuple,u=this.interior,c=this.simplices,h=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,u.push(e);for(var f=[];h.length>0;){var e=h.pop(),d=e.vertices,p=e.adjacent,m=d.indexOf(r);if(!(m<0))for(var v=0;v<=o;++v)if(v!==m){var g=p[v];if(g.boundary&&!(g.lastVisited>=r)){var y=g.vertices;if(g.lastVisited!==-r){for(var 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highp\n#endif\n\nattribute vec2 a_pos;\n\nuniform mat4 u_matrix;\n\nvoid main() {\n gl_Position = u_matrix * vec4(a_pos, step(32767.0, a_pos.x), 1);\n}\n"},fill:{fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\n#pragma mapbox: define lowp vec4 color\n#pragma mapbox: define lowp float opacity\n\nvoid main() {\n #pragma mapbox: initialize lowp vec4 color\n #pragma mapbox: initialize lowp float opacity\n\n gl_FragColor = color * opacity;\n\n#ifdef OVERDRAW_INSPECTOR\n gl_FragColor = vec4(1.0);\n#endif\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nattribute vec2 a_pos;\n\nuniform mat4 u_matrix;\n\n#pragma mapbox: define lowp vec4 color\n#pragma mapbox: define lowp float opacity\n\nvoid main() {\n #pragma mapbox: initialize lowp vec4 color\n #pragma mapbox: initialize lowp float opacity\n\n gl_Position = u_matrix * vec4(a_pos, 0, 1);\n}\n"},circle:{fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\n#pragma mapbox: define lowp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n\nvarying vec2 v_extrude;\nvarying lowp float v_antialiasblur;\n\nvoid main() {\n #pragma mapbox: initialize lowp vec4 color\n #pragma mapbox: initialize lowp float blur\n #pragma mapbox: initialize lowp float opacity\n\n float t = smoothstep(1.0 - max(blur, v_antialiasblur), 1.0, length(v_extrude));\n gl_FragColor = color * (1.0 - t) * opacity;\n\n#ifdef OVERDRAW_INSPECTOR\n gl_FragColor = vec4(1.0);\n#endif\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform mat4 u_matrix;\nuniform bool u_scale_with_map;\nuniform vec2 u_extrude_scale;\nuniform float u_devicepixelratio;\n\nattribute vec2 a_pos;\n\n#pragma mapbox: define lowp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n\nvarying vec2 v_extrude;\nvarying lowp float v_antialiasblur;\n\nvoid main(void) {\n #pragma mapbox: initialize lowp vec4 color\n #pragma mapbox: initialize mediump float radius\n #pragma mapbox: initialize lowp float blur\n #pragma mapbox: initialize lowp float opacity\n\n // unencode the extrusion vector that we snuck into the a_pos vector\n v_extrude = vec2(mod(a_pos, 2.0) * 2.0 - 1.0);\n\n vec2 extrude = v_extrude * radius * u_extrude_scale;\n // multiply a_pos by 0.5, since we had it * 2 in order to sneak\n // in extrusion data\n gl_Position = u_matrix * vec4(floor(a_pos * 0.5), 0, 1);\n\n if (u_scale_with_map) {\n gl_Position.xy += extrude;\n } else {\n gl_Position.xy += extrude * gl_Position.w;\n }\n\n // This is a minimum blur distance that serves as a faux-antialiasing for\n // the circle. since blur is a ratio of the circle's size and the intent is\n // to keep the blur at roughly 1px, the two are inversely related.\n v_antialiasblur = 1.0 / u_devicepixelratio / radius;\n}\n"},line:{fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform lowp vec4 u_color;\nuniform lowp float u_opacity;\nuniform float u_blur;\n\nvarying vec2 v_linewidth;\nvarying vec2 v_normal;\nvarying float v_gamma_scale;\n\nvoid main() {\n // Calculate the distance of the pixel from the line in pixels.\n float dist = length(v_normal) * v_linewidth.s;\n\n // Calculate the antialiasing fade factor. This is either when fading in\n // the line in case of an offset line (v_linewidth.t) or when fading out\n // (v_linewidth.s)\n float blur = u_blur * v_gamma_scale;\n float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\n\n gl_FragColor = u_color * (alpha * u_opacity);\n\n#ifdef OVERDRAW_INSPECTOR\n gl_FragColor = vec4(1.0);\n#endif\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\n// floor(127 / 2) == 63.0\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\n// there are also \"special\" normals that have a bigger length (of up to 126 in\n// this case).\n// #define scale 63.0\n#define scale 0.015873016\n\nattribute vec2 a_pos;\nattribute vec4 a_data;\n\nuniform mat4 u_matrix;\nuniform mediump float u_ratio;\nuniform mediump float u_linewidth;\nuniform mediump float u_gapwidth;\nuniform mediump float u_antialiasing;\nuniform mediump float u_extra;\nuniform mat2 u_antialiasingmatrix;\nuniform mediump float u_offset;\nuniform mediump float u_blur;\n\nvarying vec2 v_normal;\nvarying vec2 v_linewidth;\nvarying float v_gamma_scale;\n\nvoid main() {\n vec2 a_extrude = a_data.xy - 128.0;\n float a_direction = mod(a_data.z, 4.0) - 1.0;\n\n // We store the texture normals in the most insignificant bit\n // transform y so that 0 => -1 and 1 => 1\n // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\n // y is 1 if the normal points up, and -1 if it points down\n mediump vec2 normal = mod(a_pos, 2.0);\n normal.y = sign(normal.y - 0.5);\n v_normal = normal;\n\n float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\n float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\n\n // Scale the extrusion vector down to a normal and then up by the line width\n // of this vertex.\n mediump vec2 dist = outset * a_extrude * scale;\n\n // Calculate the offset when drawing a line that is to the side of the actual line.\n // We do this by creating a vector that points towards the extrude, but rotate\n // it when we're drawing round end points (a_direction = -1 or 1) since their\n // extrude vector points in another direction.\n mediump float u = 0.5 * a_direction;\n mediump float t = 1.0 - abs(u);\n mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\n\n // Remove the texture normal bit of the position before scaling it with the\n // model/view matrix.\n gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\n\n // position of y on the screen\n float y = gl_Position.y / gl_Position.w;\n\n // how much features are squished in the y direction by the tilt\n float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\n\n // how much features are squished in all directions by the perspectiveness\n float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\n\n v_linewidth = vec2(outset, inset);\n v_gamma_scale = perspective_scale * squish_scale;\n}\n"},linepattern:{ -fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform float u_blur;\n\nuniform vec2 u_pattern_size_a;\nuniform vec2 u_pattern_size_b;\nuniform vec2 u_pattern_tl_a;\nuniform vec2 u_pattern_br_a;\nuniform vec2 u_pattern_tl_b;\nuniform vec2 u_pattern_br_b;\nuniform float u_fade;\nuniform float u_opacity;\n\nuniform sampler2D u_image;\n\nvarying vec2 v_normal;\nvarying vec2 v_linewidth;\nvarying float v_linesofar;\nvarying float v_gamma_scale;\n\nvoid main() {\n // Calculate the distance of the pixel from the line in pixels.\n float dist = length(v_normal) * v_linewidth.s;\n\n // Calculate the antialiasing fade factor. This is either when fading in\n // the line in case of an offset line (v_linewidth.t) or when fading out\n // (v_linewidth.s)\n float blur = u_blur * v_gamma_scale;\n float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\n\n float x_a = mod(v_linesofar / u_pattern_size_a.x, 1.0);\n float x_b = mod(v_linesofar / u_pattern_size_b.x, 1.0);\n float y_a = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_a.y);\n float y_b = 0.5 + (v_normal.y * v_linewidth.s / u_pattern_size_b.y);\n vec2 pos_a = mix(u_pattern_tl_a, u_pattern_br_a, vec2(x_a, y_a));\n vec2 pos_b = mix(u_pattern_tl_b, u_pattern_br_b, vec2(x_b, y_b));\n\n vec4 color = mix(texture2D(u_image, pos_a), texture2D(u_image, pos_b), u_fade);\n\n alpha *= u_opacity;\n\n gl_FragColor = color * alpha;\n\n#ifdef OVERDRAW_INSPECTOR\n gl_FragColor = vec4(1.0);\n#endif\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\n// floor(127 / 2) == 63.0\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\n// there are also \"special\" normals that have a bigger length (of up to 126 in\n// this case).\n// #define scale 63.0\n#define scale 0.015873016\n\n// We scale the distance before adding it to the buffers so that we can store\n// long distances for long segments. Use this value to unscale the distance.\n#define LINE_DISTANCE_SCALE 2.0\n\nattribute vec2 a_pos;\nattribute vec4 a_data;\n\nuniform mat4 u_matrix;\nuniform mediump float u_ratio;\nuniform mediump float u_linewidth;\nuniform mediump float u_gapwidth;\nuniform mediump float u_antialiasing;\nuniform mediump float u_extra;\nuniform mat2 u_antialiasingmatrix;\nuniform mediump float u_offset;\n\nvarying vec2 v_normal;\nvarying vec2 v_linewidth;\nvarying float v_linesofar;\nvarying float v_gamma_scale;\n\nvoid main() {\n vec2 a_extrude = a_data.xy - 128.0;\n float a_direction = mod(a_data.z, 4.0) - 1.0;\n float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\n\n // We store the texture normals in the most insignificant bit\n // transform y so that 0 => -1 and 1 => 1\n // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\n // y is 1 if the normal points up, and -1 if it points down\n mediump vec2 normal = mod(a_pos, 2.0);\n normal.y = sign(normal.y - 0.5);\n v_normal = normal;\n\n float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\n float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\n\n // Scale the extrusion vector down to a normal and then up by the line width\n // of this vertex.\n mediump vec2 dist = outset * a_extrude * scale;\n\n // Calculate the offset when drawing a line that is to the side of the actual line.\n // We do this by creating a vector that points towards the extrude, but rotate\n // it when we're drawing round end points (a_direction = -1 or 1) since their\n // extrude vector points in another direction.\n mediump float u = 0.5 * a_direction;\n mediump float t = 1.0 - abs(u);\n mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\n\n // Remove the texture normal bit of the position before scaling it with the\n // model/view matrix.\n gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\n v_linesofar = a_linesofar;\n\n // position of y on the screen\n float y = gl_Position.y / gl_Position.w;\n\n // how much features are squished in the y direction by the tilt\n float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\n\n // how much features are squished in all directions by the perspectiveness\n float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\n\n v_linewidth = vec2(outset, inset);\n v_gamma_scale = perspective_scale * squish_scale;\n}\n"},linesdfpattern:{fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform lowp vec4 u_color;\nuniform lowp float u_opacity;\n\nuniform float u_blur;\nuniform sampler2D u_image;\nuniform float u_sdfgamma;\nuniform float u_mix;\n\nvarying vec2 v_normal;\nvarying vec2 v_linewidth;\nvarying vec2 v_tex_a;\nvarying vec2 v_tex_b;\nvarying float v_gamma_scale;\n\nvoid main() {\n // Calculate the distance of the pixel from the line in pixels.\n float dist = length(v_normal) * v_linewidth.s;\n\n // Calculate the antialiasing fade factor. This is either when fading in\n // the line in case of an offset line (v_linewidth.t) or when fading out\n // (v_linewidth.s)\n float blur = u_blur * v_gamma_scale;\n float alpha = clamp(min(dist - (v_linewidth.t - blur), v_linewidth.s - dist) / blur, 0.0, 1.0);\n\n float sdfdist_a = texture2D(u_image, v_tex_a).a;\n float sdfdist_b = texture2D(u_image, v_tex_b).a;\n float sdfdist = mix(sdfdist_a, sdfdist_b, u_mix);\n alpha *= smoothstep(0.5 - u_sdfgamma, 0.5 + u_sdfgamma, sdfdist);\n\n gl_FragColor = u_color * (alpha * u_opacity);\n\n#ifdef OVERDRAW_INSPECTOR\n gl_FragColor = vec4(1.0);\n#endif\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\n// floor(127 / 2) == 63.0\n// the maximum allowed miter limit is 2.0 at the moment. the extrude normal is\n// stored in a byte (-128..127). we scale regular normals up to length 63, but\n// there are also \"special\" normals that have a bigger length (of up to 126 in\n// this case).\n// #define scale 63.0\n#define scale 0.015873016\n\n// We scale the distance before adding it to the buffers so that we can store\n// long distances for long segments. Use this value to unscale the distance.\n#define LINE_DISTANCE_SCALE 2.0\n\nattribute vec2 a_pos;\nattribute vec4 a_data;\n\nuniform mat4 u_matrix;\nuniform mediump float u_ratio;\nuniform mediump float u_linewidth;\nuniform mediump float u_gapwidth;\nuniform mediump float u_antialiasing;\nuniform vec2 u_patternscale_a;\nuniform float u_tex_y_a;\nuniform vec2 u_patternscale_b;\nuniform float u_tex_y_b;\nuniform float u_extra;\nuniform mat2 u_antialiasingmatrix;\nuniform mediump float u_offset;\n\nvarying vec2 v_normal;\nvarying vec2 v_linewidth;\nvarying vec2 v_tex_a;\nvarying vec2 v_tex_b;\nvarying float v_gamma_scale;\n\nvoid main() {\n vec2 a_extrude = a_data.xy - 128.0;\n float a_direction = mod(a_data.z, 4.0) - 1.0;\n float a_linesofar = (floor(a_data.z / 4.0) + a_data.w * 64.0) * LINE_DISTANCE_SCALE;\n\n // We store the texture normals in the most insignificant bit\n // transform y so that 0 => -1 and 1 => 1\n // In the texture normal, x is 0 if the normal points straight up/down and 1 if it's a round cap\n // y is 1 if the normal points up, and -1 if it points down\n mediump vec2 normal = mod(a_pos, 2.0);\n normal.y = sign(normal.y - 0.5);\n v_normal = normal;\n\n float inset = u_gapwidth + (u_gapwidth > 0.0 ? u_antialiasing : 0.0);\n float outset = u_gapwidth + u_linewidth * (u_gapwidth > 0.0 ? 2.0 : 1.0) + u_antialiasing;\n\n // Scale the extrusion vector down to a normal and then up by the line width\n // of this vertex.\n mediump vec2 dist = outset * a_extrude * scale;\n\n // Calculate the offset when drawing a line that is to the side of the actual line.\n // We do this by creating a vector that points towards the extrude, but rotate\n // it when we're drawing round end points (a_direction = -1 or 1) since their\n // extrude vector points in another direction.\n mediump float u = 0.5 * a_direction;\n mediump float t = 1.0 - abs(u);\n mediump vec2 offset = u_offset * a_extrude * scale * normal.y * mat2(t, -u, u, t);\n\n // Remove the texture normal bit of the position before scaling it with the\n // model/view matrix.\n gl_Position = u_matrix * vec4(floor(a_pos * 0.5) + (offset + dist) / u_ratio, 0.0, 1.0);\n\n v_tex_a = vec2(a_linesofar * u_patternscale_a.x, normal.y * u_patternscale_a.y + u_tex_y_a);\n v_tex_b = vec2(a_linesofar * u_patternscale_b.x, normal.y * u_patternscale_b.y + u_tex_y_b);\n\n // position of y on the screen\n float y = gl_Position.y / gl_Position.w;\n\n // how much features are squished in the y direction by the tilt\n float squish_scale = length(a_extrude) / length(u_antialiasingmatrix * a_extrude);\n\n // how much features are squished in all directions by the perspectiveness\n float perspective_scale = 1.0 / (1.0 - min(y * u_extra, 0.9));\n\n v_linewidth = vec2(outset, inset);\n v_gamma_scale = perspective_scale * squish_scale;\n}\n"},outline:{fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\n#pragma mapbox: define lowp vec4 outline_color\n#pragma mapbox: define lowp float opacity\n\nvarying vec2 v_pos;\n\nvoid main() {\n #pragma mapbox: initialize lowp vec4 outline_color\n #pragma mapbox: initialize lowp float opacity\n\n float dist = length(v_pos - gl_FragCoord.xy);\n float alpha = smoothstep(1.0, 0.0, dist);\n gl_FragColor = outline_color * (alpha * opacity);\n\n#ifdef OVERDRAW_INSPECTOR\n gl_FragColor = vec4(1.0);\n#endif\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nattribute vec2 a_pos;\n\nuniform mat4 u_matrix;\nuniform vec2 u_world;\n\nvarying vec2 v_pos;\n\n#pragma mapbox: define lowp vec4 outline_color\n#pragma mapbox: define lowp float opacity\n\nvoid main() {\n #pragma mapbox: initialize lowp vec4 outline_color\n #pragma mapbox: initialize lowp float opacity\n\n gl_Position = u_matrix * vec4(a_pos, 0, 1);\n v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\n}\n"},outlinepattern:{fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform float u_opacity;\nuniform vec2 u_pattern_tl_a;\nuniform vec2 u_pattern_br_a;\nuniform vec2 u_pattern_tl_b;\nuniform vec2 u_pattern_br_b;\nuniform float u_mix;\n\nuniform sampler2D u_image;\n\nvarying vec2 v_pos_a;\nvarying vec2 v_pos_b;\nvarying vec2 v_pos;\n\nvoid main() {\n vec2 imagecoord = mod(v_pos_a, 1.0);\n vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\n vec4 color1 = texture2D(u_image, pos);\n\n vec2 imagecoord_b = mod(v_pos_b, 1.0);\n vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\n vec4 color2 = texture2D(u_image, pos2);\n\n // find distance to outline for alpha interpolation\n\n float dist = length(v_pos - gl_FragCoord.xy);\n float alpha = smoothstep(1.0, 0.0, dist);\n \n\n gl_FragColor = mix(color1, color2, u_mix) * alpha * u_opacity;\n\n#ifdef OVERDRAW_INSPECTOR\n gl_FragColor = vec4(1.0);\n#endif\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform vec2 u_pattern_size_a;\nuniform vec2 u_pattern_size_b;\nuniform vec2 u_pixel_coord_upper;\nuniform vec2 u_pixel_coord_lower;\nuniform float u_scale_a;\nuniform float u_scale_b;\nuniform float u_tile_units_to_pixels;\n\nattribute vec2 a_pos;\n\nuniform mat4 u_matrix;\nuniform vec2 u_world;\n\nvarying vec2 v_pos_a;\nvarying vec2 v_pos_b;\nvarying vec2 v_pos;\n\nvoid main() {\n gl_Position = u_matrix * vec4(a_pos, 0, 1);\n vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\n vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\n\n // the correct offset needs to be calculated.\n //\n // The offset depends on how many pixels are between the world origin and\n // the edge of the tile:\n // vec2 offset = mod(pixel_coord, size)\n //\n // At high zoom levels there are a ton of pixels between the world origin\n // and the edge of the tile. The glsl spec only guarantees 16 bits of\n // precision for highp floats. We need more than that.\n //\n // The pixel_coord is passed in as two 16 bit values:\n // pixel_coord_upper = floor(pixel_coord / 2^16)\n // pixel_coord_lower = mod(pixel_coord, 2^16)\n //\n // The offset is calculated in a series of steps that should preserve this precision:\n vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\n vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\n\n v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\n v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\n\n v_pos = (gl_Position.xy / gl_Position.w + 1.0) / 2.0 * u_world;\n}\n"},pattern:{fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform float u_opacity;\nuniform vec2 u_pattern_tl_a;\nuniform vec2 u_pattern_br_a;\nuniform vec2 u_pattern_tl_b;\nuniform vec2 u_pattern_br_b;\nuniform float u_mix;\n\nuniform sampler2D u_image;\n\nvarying vec2 v_pos_a;\nvarying vec2 v_pos_b;\n\nvoid main() {\n\n vec2 imagecoord = mod(v_pos_a, 1.0);\n vec2 pos = mix(u_pattern_tl_a, u_pattern_br_a, imagecoord);\n vec4 color1 = texture2D(u_image, pos);\n\n vec2 imagecoord_b = mod(v_pos_b, 1.0);\n vec2 pos2 = mix(u_pattern_tl_b, u_pattern_br_b, imagecoord_b);\n vec4 color2 = texture2D(u_image, pos2);\n\n gl_FragColor = mix(color1, color2, u_mix) * u_opacity;\n\n#ifdef OVERDRAW_INSPECTOR\n gl_FragColor = vec4(1.0);\n#endif\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform mat4 u_matrix;\nuniform vec2 u_pattern_size_a;\nuniform vec2 u_pattern_size_b;\nuniform vec2 u_pixel_coord_upper;\nuniform vec2 u_pixel_coord_lower;\nuniform float u_scale_a;\nuniform float u_scale_b;\nuniform float u_tile_units_to_pixels;\n\nattribute vec2 a_pos;\n\nvarying vec2 v_pos_a;\nvarying vec2 v_pos_b;\n\nvoid main() {\n gl_Position = u_matrix * vec4(a_pos, 0, 1);\n vec2 scaled_size_a = u_scale_a * u_pattern_size_a;\n vec2 scaled_size_b = u_scale_b * u_pattern_size_b;\n\n // the correct offset needs to be calculated.\n //\n // The offset depends on how many pixels are between the world origin and\n // the edge of the tile:\n // vec2 offset = mod(pixel_coord, size)\n //\n // At high zoom levels there are a ton of pixels between the world origin\n // and the edge of the tile. The glsl spec only guarantees 16 bits of\n // precision for highp floats. We need more than that.\n //\n // The pixel_coord is passed in as two 16 bit values:\n // pixel_coord_upper = floor(pixel_coord / 2^16)\n // pixel_coord_lower = mod(pixel_coord, 2^16)\n //\n // The offset is calculated in a series of steps that should preserve this precision:\n vec2 offset_a = mod(mod(mod(u_pixel_coord_upper, scaled_size_a) * 256.0, scaled_size_a) * 256.0 + u_pixel_coord_lower, scaled_size_a);\n vec2 offset_b = mod(mod(mod(u_pixel_coord_upper, scaled_size_b) * 256.0, scaled_size_b) * 256.0 + u_pixel_coord_lower, scaled_size_b);\n\n v_pos_a = (u_tile_units_to_pixels * a_pos + offset_a) / scaled_size_a;\n v_pos_b = (u_tile_units_to_pixels * a_pos + offset_b) / scaled_size_b;\n}\n"},raster:{fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform float u_opacity0;\nuniform float u_opacity1;\nuniform sampler2D u_image0;\nuniform sampler2D u_image1;\nvarying vec2 v_pos0;\nvarying vec2 v_pos1;\n\nuniform float u_brightness_low;\nuniform float u_brightness_high;\n\nuniform float u_saturation_factor;\nuniform float u_contrast_factor;\nuniform vec3 u_spin_weights;\n\nvoid main() {\n\n // read and cross-fade colors from the main and parent tiles\n vec4 color0 = texture2D(u_image0, v_pos0);\n vec4 color1 = texture2D(u_image1, v_pos1);\n vec4 color = color0 * u_opacity0 + color1 * u_opacity1;\n vec3 rgb = color.rgb;\n\n // spin\n rgb = vec3(\n dot(rgb, u_spin_weights.xyz),\n dot(rgb, u_spin_weights.zxy),\n dot(rgb, u_spin_weights.yzx));\n\n // saturation\n float average = (color.r + color.g + color.b) / 3.0;\n rgb += (average - rgb) * u_saturation_factor;\n\n // contrast\n rgb = (rgb - 0.5) * u_contrast_factor + 0.5;\n\n // brightness\n vec3 u_high_vec = vec3(u_brightness_low, u_brightness_low, u_brightness_low);\n vec3 u_low_vec = vec3(u_brightness_high, u_brightness_high, u_brightness_high);\n\n gl_FragColor = vec4(mix(u_high_vec, u_low_vec, rgb), color.a);\n\n#ifdef OVERDRAW_INSPECTOR\n gl_FragColor = vec4(1.0);\n#endif\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform mat4 u_matrix;\nuniform vec2 u_tl_parent;\nuniform float u_scale_parent;\nuniform float u_buffer_scale;\n\nattribute vec2 a_pos;\nattribute vec2 a_texture_pos;\n\nvarying vec2 v_pos0;\nvarying vec2 v_pos1;\n\nvoid main() {\n gl_Position = u_matrix * vec4(a_pos, 0, 1);\n v_pos0 = (((a_texture_pos / 32767.0) - 0.5) / u_buffer_scale ) + 0.5;\n v_pos1 = (v_pos0 * u_scale_parent) + u_tl_parent;\n}\n"},icon:{fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform sampler2D u_texture;\nuniform sampler2D u_fadetexture;\nuniform lowp float u_opacity;\n\nvarying vec2 v_tex;\nvarying vec2 v_fade_tex;\n\nvoid main() {\n lowp float alpha = texture2D(u_fadetexture, v_fade_tex).a * u_opacity;\n gl_FragColor = texture2D(u_texture, v_tex) * alpha;\n\n#ifdef OVERDRAW_INSPECTOR\n gl_FragColor = vec4(1.0);\n#endif\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nattribute vec2 a_pos;\nattribute vec2 a_offset;\nattribute vec2 a_texture_pos;\nattribute vec4 a_data;\n\n\n// matrix is for the vertex position.\nuniform mat4 u_matrix;\n\nuniform mediump float u_zoom;\nuniform bool u_rotate_with_map;\nuniform vec2 u_extrude_scale;\n\nuniform vec2 u_texsize;\n\nvarying vec2 v_tex;\nvarying vec2 v_fade_tex;\n\nvoid main() {\n vec2 a_tex = a_texture_pos.xy;\n mediump float a_labelminzoom = a_data[0];\n mediump vec2 a_zoom = a_data.pq;\n mediump float a_minzoom = a_zoom[0];\n mediump float a_maxzoom = a_zoom[1];\n\n // u_zoom is the current zoom level adjusted for the change in font size\n mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\n\n vec2 extrude = u_extrude_scale * (a_offset / 64.0);\n if (u_rotate_with_map) {\n gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\n gl_Position.z += z * gl_Position.w;\n } else {\n gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\n }\n\n v_tex = a_tex / u_texsize;\n v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\n}\n"},sdf:{fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform sampler2D u_texture;\nuniform sampler2D u_fadetexture;\nuniform lowp vec4 u_color;\nuniform lowp float u_opacity;\nuniform lowp float u_buffer;\nuniform lowp float u_gamma;\n\nvarying vec2 v_tex;\nvarying vec2 v_fade_tex;\nvarying float v_gamma_scale;\n\nvoid main() {\n lowp float dist = texture2D(u_texture, v_tex).a;\n lowp float fade_alpha = texture2D(u_fadetexture, v_fade_tex).a;\n lowp float gamma = u_gamma * v_gamma_scale;\n lowp float alpha = smoothstep(u_buffer - gamma, u_buffer + gamma, dist) * fade_alpha;\n\n gl_FragColor = u_color * (alpha * u_opacity);\n\n#ifdef OVERDRAW_INSPECTOR\n gl_FragColor = vec4(1.0);\n#endif\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nconst float PI = 3.141592653589793;\n\nattribute vec2 a_pos;\nattribute vec2 a_offset;\nattribute vec2 a_texture_pos;\nattribute vec4 a_data;\n\n\n// matrix is for the vertex position.\nuniform mat4 u_matrix;\n\nuniform mediump float u_zoom;\nuniform bool u_rotate_with_map;\nuniform bool u_pitch_with_map;\nuniform mediump float u_pitch;\nuniform mediump float u_bearing;\nuniform mediump float u_aspect_ratio;\nuniform vec2 u_extrude_scale;\n\nuniform vec2 u_texsize;\n\nvarying vec2 v_tex;\nvarying vec2 v_fade_tex;\nvarying float v_gamma_scale;\n\nvoid main() {\n vec2 a_tex = a_texture_pos.xy;\n mediump float a_labelminzoom = a_data[0];\n mediump vec2 a_zoom = a_data.pq;\n mediump float a_minzoom = a_zoom[0];\n mediump float a_maxzoom = a_zoom[1];\n\n // u_zoom is the current zoom level adjusted for the change in font size\n mediump float z = 2.0 - step(a_minzoom, u_zoom) - (1.0 - step(a_maxzoom, u_zoom));\n\n // pitch-alignment: map\n // rotation-alignment: map | viewport\n if (u_pitch_with_map) {\n lowp float angle = u_rotate_with_map ? (a_data[1] / 256.0 * 2.0 * PI) : u_bearing;\n lowp float asin = sin(angle);\n lowp float acos = cos(angle);\n mat2 RotationMatrix = mat2(acos, asin, -1.0 * asin, acos);\n vec2 offset = RotationMatrix * a_offset;\n vec2 extrude = u_extrude_scale * (offset / 64.0);\n gl_Position = u_matrix * vec4(a_pos + extrude, 0, 1);\n gl_Position.z += z * gl_Position.w;\n // pitch-alignment: viewport\n // rotation-alignment: map\n } else if (u_rotate_with_map) {\n // foreshortening factor to apply on pitched maps\n // as a label goes from horizontal <=> vertical in angle\n // it goes from 0% foreshortening to up to around 70% foreshortening\n lowp float pitchfactor = 1.0 - cos(u_pitch * sin(u_pitch * 0.75));\n\n lowp float lineangle = a_data[1] / 256.0 * 2.0 * PI;\n\n // use the lineangle to position points a,b along the line\n // project the points and calculate the label angle in projected space\n // this calculation allows labels to be rendered unskewed on pitched maps\n vec4 a = u_matrix * vec4(a_pos, 0, 1);\n vec4 b = u_matrix * vec4(a_pos + vec2(cos(lineangle),sin(lineangle)), 0, 1);\n lowp float angle = atan((b[1]/b[3] - a[1]/a[3])/u_aspect_ratio, b[0]/b[3] - a[0]/a[3]);\n lowp float asin = sin(angle);\n lowp float acos = cos(angle);\n mat2 RotationMatrix = mat2(acos, -1.0 * asin, asin, acos);\n\n vec2 offset = RotationMatrix * (vec2((1.0-pitchfactor)+(pitchfactor*cos(angle*2.0)), 1.0) * a_offset);\n vec2 extrude = u_extrude_scale * (offset / 64.0);\n gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\n gl_Position.z += z * gl_Position.w;\n // pitch-alignment: viewport\n // rotation-alignment: viewport\n } else {\n vec2 extrude = u_extrude_scale * (a_offset / 64.0);\n gl_Position = u_matrix * vec4(a_pos, 0, 1) + vec4(extrude, 0, 0);\n }\n\n v_gamma_scale = (gl_Position.w - 0.5);\n\n v_tex = a_tex / u_texsize;\n v_fade_tex = vec2(a_labelminzoom / 255.0, 0.0);\n}\n"},collisionbox:{fragmentSource:"#ifdef GL_ES\nprecision mediump float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nuniform float u_zoom;\nuniform float u_maxzoom;\n\nvarying float v_max_zoom;\nvarying float v_placement_zoom;\n\nvoid main() {\n\n float alpha = 0.5;\n\n gl_FragColor = vec4(0.0, 1.0, 0.0, 1.0) * alpha;\n\n if (v_placement_zoom > u_zoom) {\n gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0) * alpha;\n }\n\n if (u_zoom >= v_max_zoom) {\n gl_FragColor = vec4(0.0, 0.0, 0.0, 1.0) * alpha * 0.25;\n }\n\n if (v_placement_zoom >= u_maxzoom) {\n gl_FragColor = vec4(0.0, 0.0, 1.0, 1.0) * alpha * 0.2;\n }\n}\n",vertexSource:"#ifdef GL_ES\nprecision highp float;\n#else\n#define lowp\n#define mediump\n#define highp\n#endif\n\nattribute vec2 a_pos;\nattribute vec2 a_extrude;\nattribute vec2 a_data;\n\nuniform mat4 u_matrix;\nuniform float u_scale;\n\nvarying float v_max_zoom;\nvarying float v_placement_zoom;\n\nvoid main() {\n gl_Position = u_matrix * vec4(a_pos + a_extrude / u_scale, 0.0, 1.0);\n\n v_max_zoom = a_data.x;\n v_placement_zoom = a_data.y;\n}\n"}},e.exports.util="float evaluate_zoom_function_1(const vec4 values, const float t) {\n if (t < 1.0) {\n return mix(values[0], values[1], t);\n } else if (t < 2.0) {\n return mix(values[1], values[2], t - 1.0);\n } else {\n return mix(values[2], values[3], t - 2.0);\n }\n}\nvec4 evaluate_zoom_function_4(const vec4 value0, const vec4 value1, const vec4 value2, const vec4 value3, const float t) {\n if (t < 1.0) {\n return mix(value0, value1, t);\n } else if (t < 2.0) {\n return mix(value1, value2, t - 1.0);\n } else {\n return mix(value2, value3, t - 2.0);\n }\n}\n"},{path:476}],304:[function(t,e,r){"use strict";function n(t,e){this.message=(t?t+": ":"")+i.apply(i,Array.prototype.slice.call(arguments,2)),null!==e&&void 0!==e&&e.__line__&&(this.line=e.__line__)}var i=t("util").format;e.exports=n},{util:549}],305:[function(t,e,r){"use strict";e.exports=function(t){for(var e=1;e<arguments.length;e++){var r=arguments[e];for(var n in r)t[n]=r[n]}return 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T=[],S=0;S<4;S++)T.push(m+S),p.attributes.push(c.extend({},u,{getValue:a(u,[M[S]]),isFunction:!0,name:m+S})),p.vertexPragmas.define[g]+=["attribute","{precision}","{type}",m+S].join(" ")+";\n";p.vertexPragmas.initialize[g]=[g," = ","evaluate_zoom_function_4("+T.join(", ")+", "+b+")","/",u.multiplier.toFixed(1)].join(" ")+";\n"}}}}}return e}function a(t,e){return function(r,n,i){if(1===e.length)return t.getValue(r,c.extend({},n,{zoom:e[0]}),i);for(var a=[],o=0;o<e.length;o++){var s=e[o];a.push(t.getValue(r,c.extend({},n,{zoom:s}),i)[0])}return a}}function o(t,e){return function(r,n){var i=r.getPaintInterpolationT(t.paintProperty,n.zoom);return[Math.max(0,Math.min(4,i-e))]}}var s=t("feature-filter"),l=t("./array_group"),u=t("./buffer_group"),c=t("../util/util"),h=t("../util/struct_array"),f=t("assert");e.exports=n,n.create=function(e){return new({fill:t("./bucket/fill_bucket"),line:t("./bucket/line_bucket"),circle:t("./bucket/circle_bucket"),symbol:t("./bucket/symbol_bucket")}[e.layer.type])(e)},n.EXTENT=8192,n.prototype.populateArrays=function(){this.createArrays(),this.recalculateStyleLayers();for(var t=0;t<this.features.length;t++)this.addFeature(this.features[t]);this.trimArrays()},n.prototype.prepareArrayGroup=function(t,e){var r=this.arrayGroups[t],n=r.length&&r[r.length-1];return n&&n.hasCapacityFor(e)||(n=new l({layoutVertexArrayType:this.programInterfaces[t].layoutVertexArrayType,elementArrayType:this.programInterfaces[t].elementArrayType,elementArrayType2:this.programInterfaces[t].elementArrayType2,paintVertexArrayTypes:this.paintVertexArrayTypes[t]}),n.index=r.length,r.push(n)),n},n.prototype.createArrays=function(){this.arrayGroups={},this.paintVertexArrayTypes={};for(var t in this.programInterfaces){this.arrayGroups[t]=[];var e=this.paintVertexArrayTypes[t]={},r=this.paintAttributes[t];for(var i in r)e[i]=new n.VertexArrayType(r[i].attributes)}},n.prototype.destroy=function(t){for(var e in this.bufferGroups)for(var r=this.bufferGroups[e],n=0;n<r.length;n++)r[n].destroy(t)},n.prototype.trimArrays=function(){for(var t in this.arrayGroups)for(var e=this.arrayGroups[t],r=0;r<e.length;r++)e[r].trim()},n.prototype.isEmpty=function(){for(var t in this.arrayGroups)for(var e=this.arrayGroups[t],r=0;r<e.length;r++)if(!e[r].isEmpty())return!1;return!0},n.prototype.getTransferables=function(t){for(var e in this.arrayGroups)for(var r=this.arrayGroups[e],n=0;n<r.length;n++)r[n].getTransferables(t)},n.prototype.setUniforms=function(t,e,r,n,i){for(var a=this.paintAttributes[e][n.id].uniforms,o=0;o<a.length;o++){var s=a[o],l=r[s.name];t["uniform"+s.components+"fv"](l,s.getValue(n,i))}},n.prototype.serialize=function(){return{layerId:this.layer.id,zoom:this.zoom,arrays:c.mapObject(this.arrayGroups,function(t){return t.map(function(t){return t.serialize()})}),paintVertexArrayTypes:c.mapObject(this.paintVertexArrayTypes,function(t){return c.mapObject(t,function(t){return t.serialize()})}),childLayerIds:this.childLayers.map(function(t){return t.id})}},n.prototype.createFilter=function(){this.filter||(this.filter=s(this.layer.filter))};var d={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};n.prototype.recalculateStyleLayers=function(){for(var t=0;t<this.childLayers.length;t++)this.childLayers[t].recalculate(this.zoom,d)},n.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a=0;a<this.childLayers.length;a++)for(var o=this.childLayers[a],s=this.arrayGroups[t],l=n.index;l<s.length;l++){var u=s[l],c=u.layoutVertexArray.length,h=u.paintVertexArrays[o.id];h.resize(c);for(var f=this.paintAttributes[t][o.id].attributes,d=0;d<f.length;d++)for(var p=f[d],m=p.getValue(o,e,r),v=p.multiplier||1,g=p.components||1,y=l===n.index?i:0,b=y;b<c;b++)for(var x=h.get(b),_=0;_<g;_++){var w=g>1?p.name+_:p.name;x[w]=m[_]*v}}},n.VertexArrayType=function(t){return new h({members:t,alignment:4})},n.ElementArrayType=function(t){return new h({members:[{type:"Uint16",name:"vertices",components:t||3}]})}},{"../util/struct_array":440,"../util/util":442,"./array_group":328,"./bucket/circle_bucket":330,"./bucket/fill_bucket":331,"./bucket/line_bucket":332,"./bucket/symbol_bucket":333,"./buffer_group":335,assert:47,"feature-filter":132}],330:[function(t,e,r){"use strict";function n(){i.apply(this,arguments)}var i=t("../bucket"),a=t("../../util/util"),o=t("../load_geometry"),s=i.EXTENT;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addCircleVertex=function(t,e,r,n,i){return t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)},n.prototype.programInterfaces={circle:{layoutVertexArrayType:new i.VertexArrayType([{name:"a_pos",components:2,type:"Int16"}]),elementArrayType:new i.ElementArrayType,paintAttributes:[{name:"a_color",components:4,type:"Uint8",getValue:function(t,e,r){return t.getPaintValue("circle-color",e,r)},multiplier:255,paintProperty:"circle-color"},{name:"a_radius",components:1,type:"Uint16",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue("circle-radius",e,r)]},multiplier:10,paintProperty:"circle-radius"},{name:"a_blur",components:1,type:"Uint16",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue("circle-blur",e,r)]},multiplier:10,paintProperty:"circle-blur"},{name:"a_opacity",components:1,type:"Uint16",isLayerConstant:!1,getValue:function(t,e,r){return[t.getPaintValue("circle-opacity",e,r)]},multiplier:255,paintProperty:"circle-opacity"}]}},n.prototype.addFeature=function(t){for(var e={zoom:this.zoom},r=o(t),n=this.prepareArrayGroup("circle",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)for(var l=0;l<r[a].length;l++){var u=r[a][l].x,c=r[a][l].y;if(!(u<0||u>=s||c<0||c>=s)){var h=this.prepareArrayGroup("circle",4),f=h.layoutVertexArray,d=this.addCircleVertex(f,u,c,-1,-1);this.addCircleVertex(f,u,c,1,-1),this.addCircleVertex(f,u,c,1,1),this.addCircleVertex(f,u,c,-1,1),h.elementArray.emplaceBack(d,d+1,d+2),h.elementArray.emplaceBack(d,d+3,d+2)}}this.populatePaintArrays("circle",e,t.properties,n,i)}},{"../../util/util":442,"../bucket":329,"../load_geometry":337}],331:[function(t,e,r){"use strict";function n(){i.apply(this,arguments)}var i=t("../bucket"),a=t("../../util/util"),o=t("../load_geometry"),s=t("earcut"),l=t("../../util/classify_rings");e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.programInterfaces={fill:{layoutVertexArrayType:new i.VertexArrayType([{name:"a_pos",components:2,type:"Int16"}]),elementArrayType:new i.ElementArrayType(1),elementArrayType2:new i.ElementArrayType(2),paintAttributes:[{name:"a_color",components:4,type:"Uint8",getValue:function(t,e,r){return t.getPaintValue("fill-color",e,r)},multiplier:255,paintProperty:"fill-color"},{name:"a_outline_color",components:4,type:"Uint8",getValue:function(t,e,r){return t.getPaintValue("fill-outline-color",e,r)},multiplier:255,paintProperty:"fill-outline-color"},{name:"a_opacity",components:1,type:"Uint8",getValue:function(t,e,r){return[t.getPaintValue("fill-opacity",e,r)]},multiplier:255,paintProperty:"fill-opacity"}]}},n.prototype.addFeature=function(t){for(var e=o(t),r=l(e,500),n=this.prepareArrayGroup("fill",0),i=n.layoutVertexArray.length,a=0;a<r.length;a++)this.addPolygon(r[a]);this.populatePaintArrays("fill",{zoom:this.zoom},t.properties,n,i)},n.prototype.addPolygon=function(t){for(var e=0,r=0;r<t.length;r++)e+=t[r].length;for(var n=this.prepareArrayGroup("fill",e),i=[],a=[],o=n.layoutVertexArray.length,l=0;l<t.length;l++){var u=t[l];l>0&&a.push(i.length/2);for(var c=0;c<u.length;c++){var h=u[c],f=n.layoutVertexArray.emplaceBack(h.x,h.y);c>=1&&n.elementArray2.emplaceBack(f-1,f),i.push(h.x),i.push(h.y)}}for(var d=s(i,a),p=0;p<d.length;p++)n.elementArray.emplaceBack(d[p]+o)}},{"../../util/classify_rings":430,"../../util/util":442,"../bucket":329,"../load_geometry":337,earcut:126}],332:[function(t,e,r){"use strict";function n(){i.apply(this,arguments)}var i=t("../bucket"),a=t("../../util/util"),o=t("../load_geometry"),s=i.EXTENT,l=Math.cos(Math.PI/180*37.5),u=Math.pow(2,14)/.5;e.exports=n,n.prototype=a.inherit(i,{}),n.prototype.addLineVertex=function(t,e,r,n,i,a,o){return t.emplaceBack(e.x<<1|n,e.y<<1|i,Math.round(63*r.x)+128,Math.round(63*r.y)+128,1+(0===a?0:a<0?-1:1)|(.5*o&63)<<2,.5*o>>6)},n.prototype.programInterfaces={line:{layoutVertexArrayType:new i.VertexArrayType([{name:"a_pos",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}]),elementArrayType:new i.ElementArrayType}},n.prototype.addFeature=function(t){for(var e=o(t,15),r=0;r<e.length;r++)this.addLine(e[r],this.layer.layout["line-join"],this.layer.layout["line-cap"],this.layer.layout["line-miter-limit"],this.layer.layout["line-round-limit"])},n.prototype.addLine=function(t,e,r,n,i){for(var a=t.length;a>2&&t[a-1].equals(t[a-2]);)a--;if(!(t.length<2)){"bevel"===e&&(n=1.05);var o=s/(512*this.overscaling)*15,u=t[0],c=t[a-1],h=u.equals(c);if(this.prepareArrayGroup("line",10*a),2!==a||!h){this.distance=0;var f,d,p,m,v,g,y,b=r,x=h?"butt":r,_=!0;this.e1=this.e2=this.e3=-1,h&&(f=t[a-2],v=u.sub(f)._unit()._perp());for(var w=0;w<a;w++)if(!(p=h&&w===a-1?t[1]:t[w+1])||!t[w].equals(p)){v&&(m=v),f&&(d=f),f=t[w],v=p?p.sub(f)._unit()._perp():m,m=m||v;var M=m.add(v)._unit(),k=M.x*v.x+M.y*v.y,A=1/k,T=k<l&&d&&p;if(T&&w>0){var S=f.dist(d);if(S>2*o){var E=f.sub(f.sub(d)._mult(o/S)._round());this.distance+=E.dist(d),this.addCurrentVertex(E,this.distance,m.mult(1),0,0,!1),d=E}}var L=d&&p,C=L?e:p?b:x;if(L&&"round"===C&&(A<i?C="miter":A<=2&&(C="fakeround")),"miter"===C&&A>n&&(C="bevel"),"bevel"===C&&(A>2&&(C="flipbevel"),A<n&&(C="miter")),d&&(this.distance+=f.dist(d)),"miter"===C)M._mult(A),this.addCurrentVertex(f,this.distance,M,0,0,!1);else if("flipbevel"===C){if(A>100)M=v.clone();else{var I=m.x*v.y-m.y*v.x>0?-1:1,z=A*m.add(v).mag()/m.sub(v).mag();M._perp()._mult(z*I)}this.addCurrentVertex(f,this.distance,M,0,0,!1),this.addCurrentVertex(f,this.distance,M.mult(-1),0,0,!1)}else if("bevel"===C||"fakeround"===C){var D=m.x*v.y-m.y*v.x>0,P=-Math.sqrt(A*A-1);if(D?(y=0,g=P):(g=0,y=P),_||this.addCurrentVertex(f,this.distance,m,g,y,!1),"fakeround"===C){for(var O,R=Math.floor(8*(.5-(k-.5))),F=0;F<R;F++)O=v.mult((F+1)/(R+1))._add(m)._unit(),this.addPieSliceVertex(f,this.distance,O,D);this.addPieSliceVertex(f,this.distance,M,D);for(var j=R-1;j>=0;j--)O=m.mult((j+1)/(R+1))._add(v)._unit(),this.addPieSliceVertex(f,this.distance,O,D)}p&&this.addCurrentVertex(f,this.distance,v,-g,-y,!1)}else"butt"===C?(_||this.addCurrentVertex(f,this.distance,m,0,0,!1),p&&this.addCurrentVertex(f,this.distance,v,0,0,!1)):"square"===C?(_||(this.addCurrentVertex(f,this.distance,m,1,1,!1),this.e1=this.e2=-1),p&&this.addCurrentVertex(f,this.distance,v,-1,-1,!1)):"round"===C&&(_||(this.addCurrentVertex(f,this.distance,m,0,0,!1),this.addCurrentVertex(f,this.distance,m,1,1,!0),this.e1=this.e2=-1),p&&(this.addCurrentVertex(f,this.distance,v,-1,-1,!0),this.addCurrentVertex(f,this.distance,v,0,0,!1)));if(T&&w<a-1){var N=f.dist(p);if(N>2*o){var B=f.add(p.sub(f)._mult(o/N)._round());this.distance+=B.dist(f),this.addCurrentVertex(B,this.distance,v.mult(1),0,0,!1),f=B}}_=!1}}}},n.prototype.addCurrentVertex=function(t,e,r,n,i,a){var o,s=a?1:0,l=this.arrayGroups.line[this.arrayGroups.line.length-1],c=l.layoutVertexArray,h=l.elementArray;o=r.clone(),n&&o._sub(r.perp()._mult(n)),this.e3=this.addLineVertex(c,t,o,s,0,n,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,o=r.mult(-1),i&&o._sub(r.perp()._mult(i)),this.e3=this.addLineVertex(c,t,o,s,1,-i,e),this.e1>=0&&this.e2>=0&&h.emplaceBack(this.e1,this.e2,this.e3),this.e1=this.e2,this.e2=this.e3,e>u/2&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a))},n.prototype.addPieSliceVertex=function(t,e,r,n){var i=n?1:0;r=r.mult(n?-1:1);var a=this.arrayGroups.line[this.arrayGroups.line.length-1],o=a.layoutVertexArray,s=a.elementArray;this.e3=this.addLineVertex(o,t,r,0,i,0,e),this.e1>=0&&this.e2>=0&&s.emplaceBack(this.e1,this.e2,this.e3),n?this.e2=this.e3:this.e1=this.e3}},{"../../util/util":442,"../bucket":329,"../load_geometry":337}],333:[function(t,e,r){"use strict";function n(t){o.apply(this,arguments),this.showCollisionBoxes=t.showCollisionBoxes,this.overscaling=t.overscaling,this.collisionBoxArray=t.collisionBoxArray,this.symbolQuadsArray=t.symbolQuadsArray,this.symbolInstancesArray=t.symbolInstancesArray,this.sdfIcons=t.sdfIcons,this.iconsNeedLinear=t.iconsNeedLinear,this.adjustedTextSize=t.adjustedTextSize,this.adjustedIconSize=t.adjustedIconSize,this.fontstack=t.fontstack}function i(t,e,r,n,i,a,o,s,l,u,c){return t.emplaceBack(e,r,Math.round(64*n),Math.round(64*i),a/4,o/4,10*(u||0),c,10*(s||0),10*Math.min(l||25,25))}var a=t("point-geometry"),o=t("../bucket"),s=t("../../symbol/anchor"),l=t("../../symbol/get_anchors"),u=t("../../util/token"),c=t("../../symbol/quads"),h=t("../../symbol/shaping"),f=t("../../symbol/resolve_text"),d=t("../../symbol/mergelines"),p=t("../../symbol/clip_line"),m=t("../../util/util"),v=t("../load_geometry"),g=t("../../symbol/collision_feature"),y=h.shapeText,b=h.shapeIcon,x=c.getGlyphQuads,_=c.getIconQuads,w=o.EXTENT;e.exports=n,n.MAX_QUADS=65535,n.prototype=m.inherit(o,{}),n.prototype.serialize=function(){var t=o.prototype.serialize.apply(this);return t.sdfIcons=this.sdfIcons,t.iconsNeedLinear=this.iconsNeedLinear,t.adjustedTextSize=this.adjustedTextSize,t.adjustedIconSize=this.adjustedIconSize,t.fontstack=this.fontstack,t};var M=new o.VertexArrayType([{name:"a_pos",components:2,type:"Int16"},{name:"a_offset",components:2,type:"Int16"},{name:"a_texture_pos",components:2,type:"Uint16"},{name:"a_data",components:4,type:"Uint8"}]),k=new o.ElementArrayType;n.prototype.addCollisionBoxVertex=function(t,e,r,n,i){return t.emplaceBack(e.x,e.y,Math.round(r.x),Math.round(r.y),10*n,10*i)},n.prototype.programInterfaces={glyph:{layoutVertexArrayType:M,elementArrayType:k},icon:{layoutVertexArrayType:M,elementArrayType:k},collisionBox:{layoutVertexArrayType:new o.VertexArrayType([{name:"a_pos",components:2,type:"Int16"},{name:"a_extrude",components:2,type:"Int16"},{name:"a_data",components:2,type:"Uint8"}])}},n.prototype.populateArrays=function(t,e,r){var n={lastIntegerZoom:1/0,lastIntegerZoomTime:0,lastZoom:0};this.adjustedTextMaxSize=this.layer.getLayoutValue("text-size",{zoom:18,zoomHistory:n}),this.adjustedTextSize=this.layer.getLayoutValue("text-size",{zoom:this.zoom+1,zoomHistory:n}),this.adjustedIconMaxSize=this.layer.getLayoutValue("icon-size",{zoom:18,zoomHistory:n}),this.adjustedIconSize=this.layer.getLayoutValue("icon-size",{zoom:this.zoom+1,zoomHistory:n});var i=512*this.overscaling;this.tilePixelRatio=w/i,this.compareText={},this.iconsNeedLinear=!1,this.symbolInstancesStartIndex=this.symbolInstancesArray.length;var a=this.layer.layout,o=this.features,s=this.textFeatures,l=.5,c=.5;switch(a["text-anchor"]){case"right":case"top-right":case"bottom-right":l=1;break;case"left":case"top-left":case"bottom-left":l=0}switch(a["text-anchor"]){case"bottom":case"bottom-right":case"bottom-left":c=1;break;case"top":case"top-right":case"top-left":c=0}for(var h="right"===a["text-justify"]?1:"left"===a["text-justify"]?0:.5,f=24*a["text-line-height"],p="line"!==a["symbol-placement"]?24*a["text-max-width"]:0,g=24*a["text-letter-spacing"],x=[24*a["text-offset"][0],24*a["text-offset"][1]],_=this.fontstack=a["text-font"].join(","),M=[],k=0;k<o.length;k++)M.push(v(o[k]));if("line"===a["symbol-placement"]){var A=d(o,s,M);M=A.geometries,o=A.features,s=A.textFeatures}for(var T,S,E=0;E<o.length;E++)if(M[E]){if(T=s[E]?y(s[E],e[_],p,f,l,c,h,g,x):null,a["icon-image"]){var L=u(o[E].properties,a["icon-image"]),C=r[L];S=b(C,a),C&&(void 0===this.sdfIcons?this.sdfIcons=C.sdf:this.sdfIcons!==C.sdf&&m.warnOnce("Style sheet warning: Cannot mix SDF and non-SDF icons in one buffer"),1!==C.pixelRatio?this.iconsNeedLinear=!0:0===a["icon-rotate"]&&this.layer.isLayoutValueFeatureConstant("icon-rotate")||(this.iconsNeedLinear=!0))}else S=null;(T||S)&&this.addFeature(M[E],T,S,o[E])}this.symbolInstancesEndIndex=this.symbolInstancesArray.length,this.placeFeatures(t,this.showCollisionBoxes),this.trimArrays()},n.prototype.addFeature=function(t,e,r,n){var i=this.layer.layout,a=this.adjustedTextSize/24,o=void 0!==this.adjustedTextMaxSize?this.adjustedTextMaxSize:this.adjustedTextSize,u=this.tilePixelRatio*a,c=this.tilePixelRatio*o/24,h=this.tilePixelRatio*this.adjustedIconSize,f=this.tilePixelRatio*i["symbol-spacing"],d=i["symbol-avoid-edges"],m=i["text-padding"]*this.tilePixelRatio,v=i["icon-padding"]*this.tilePixelRatio,g=i["text-max-angle"]/180*Math.PI,y="map"===i["text-rotation-alignment"]&&"line"===i["symbol-placement"],b="map"===i["icon-rotation-alignment"]&&"line"===i["symbol-placement"],x=i["text-allow-overlap"]||i["icon-allow-overlap"]||i["text-ignore-placement"]||i["icon-ignore-placement"],_="line"===i["symbol-placement"],M=f/2;_&&(t=p(t,0,0,w,w));for(var k=0;k<t.length;k++){var A,T=t[k];A=_?l(T,f,g,e,r,24,c,this.overscaling,w):[new s(T[0].x,T[0].y,0)];for(var S=0,E=A.length;S<E;S++){var L=A[S];if(!(e&&_&&this.anchorIsTooClose(e.text,M,L))){var C=!(L.x<0||L.x>w||L.y<0||L.y>w);if(!d||C){var I=C||x;this.addSymbolInstance(L,T,e,r,this.layer,I,this.symbolInstancesArray.length,this.collisionBoxArray,n.index,this.sourceLayerIndex,this.index,u,m,y,h,v,b,{zoom:this.zoom},n.properties)}}}}},n.prototype.anchorIsTooClose=function(t,e,r){var n=this.compareText;if(t in n){for(var i=n[t],a=i.length-1;a>=0;a--)if(r.dist(i[a])<e)return!0}else n[t]=[];return n[t].push(r),!1},n.prototype.placeFeatures=function(t,e){this.recalculateStyleLayers(),this.createArrays();var r=this.layer.layout,n=t.maxScale,i="map"===r["text-rotation-alignment"]&&"line"===r["symbol-placement"],a="map"===r["icon-rotation-alignment"]&&"line"===r["symbol-placement"];if(r["text-allow-overlap"]||r["icon-allow-overlap"]||r["text-ignore-placement"]||r["icon-ignore-placement"]){var o=this.symbolInstancesArray.toArray(this.symbolInstancesStartIndex,this.symbolInstancesEndIndex),s=t.angle,l=Math.sin(s),u=Math.cos(s);this.sortedSymbolInstances=o.sort(function(t,e){return(l*t.anchorPointX+u*t.anchorPointY|0)-(l*e.anchorPointX+u*e.anchorPointY|0)||e.index-t.index})}for(var c=this.symbolInstancesStartIndex;c<this.symbolInstancesEndIndex;c++){var h=this.sortedSymbolInstances?this.sortedSymbolInstances[c-this.symbolInstancesStartIndex]:this.symbolInstancesArray.get(c),f={boxStartIndex:h.textBoxStartIndex,boxEndIndex:h.textBoxEndIndex},d={boxStartIndex:h.iconBoxStartIndex,boxEndIndex:h.iconBoxEndIndex},p=!(h.textBoxStartIndex===h.textBoxEndIndex),m=!(h.iconBoxStartIndex===h.iconBoxEndIndex),v=r["text-optional"]||!p,g=r["icon-optional"]||!m,y=p?t.placeCollisionFeature(f,r["text-allow-overlap"],r["symbol-avoid-edges"]):t.minScale,b=m?t.placeCollisionFeature(d,r["icon-allow-overlap"],r["symbol-avoid-edges"]):t.minScale;v||g?!g&&y?y=Math.max(b,y):!v&&b&&(b=Math.max(b,y)):b=y=Math.max(b,y),p&&(t.insertCollisionFeature(f,y,r["text-ignore-placement"]),y<=n&&this.addSymbols("glyph",h.glyphQuadStartIndex,h.glyphQuadEndIndex,y,r["text-keep-upright"],i,t.angle)),m&&(t.insertCollisionFeature(d,b,r["icon-ignore-placement"]),b<=n&&this.addSymbols("icon",h.iconQuadStartIndex,h.iconQuadEndIndex,b,r["icon-keep-upright"],a,t.angle))}e&&this.addToDebugBuffers(t)},n.prototype.addSymbols=function(t,e,r,n,a,o,s){for(var l=this.prepareArrayGroup(t,4*(r-e)),u=l.elementArray,c=l.layoutVertexArray,h=this.zoom,f=Math.max(Math.log(n)/Math.LN2+h,0),d=e;d<r;d++){var p=this.symbolQuadsArray.get(d).SymbolQuad,m=(p.anchorAngle+s+Math.PI)%(2*Math.PI);if(!(a&&o&&(m<=Math.PI/2||m>3*Math.PI/2))){var v=p.tl,g=p.tr,y=p.bl,b=p.br,x=p.tex,_=p.anchorPoint,w=Math.max(h+Math.log(p.minScale)/Math.LN2,f),M=Math.min(h+Math.log(p.maxScale)/Math.LN2,25);if(!(M<=w)){w===f&&(w=0);var k=Math.round(p.glyphAngle/(2*Math.PI)*256),A=i(c,_.x,_.y,v.x,v.y,x.x,x.y,w,M,f,k);i(c,_.x,_.y,g.x,g.y,x.x+x.w,x.y,w,M,f,k),i(c,_.x,_.y,y.x,y.y,x.x,x.y+x.h,w,M,f,k),i(c,_.x,_.y,b.x,b.y,x.x+x.w,x.y+x.h,w,M,f,k),u.emplaceBack(A,A+1,A+2),u.emplaceBack(A+1,A+2,A+3)}}}},n.prototype.updateIcons=function(t){this.recalculateStyleLayers();var e=this.layer.layout["icon-image"];if(e)for(var r=0;r<this.features.length;r++){var n=u(this.features[r].properties,e);n&&(t[n]=!0)}},n.prototype.updateFont=function(t){this.recalculateStyleLayers();var e=this.layer.layout["text-font"],r=t[e]=t[e]||{};this.textFeatures=f(this.features,this.layer.layout,r)},n.prototype.addToDebugBuffers=function(t){for(var e=this.prepareArrayGroup("collisionBox",0),r=e.layoutVertexArray,n=-t.angle,i=t.yStretch,o=this.symbolInstancesStartIndex;o<this.symbolInstancesEndIndex;o++){var s=this.symbolInstancesArray.get(o);s.textCollisionFeature={boxStartIndex:s.textBoxStartIndex,boxEndIndex:s.textBoxEndIndex},s.iconCollisionFeature={boxStartIndex:s.iconBoxStartIndex,boxEndIndex:s.iconBoxEndIndex};for(var l=0;l<2;l++){var u=s[0===l?"textCollisionFeature":"iconCollisionFeature"];if(u)for(var c=u.boxStartIndex;c<u.boxEndIndex;c++){var h=this.collisionBoxArray.get(c),f=h.anchorPoint,d=new a(h.x1,h.y1*i)._rotate(n),p=new a(h.x2,h.y1*i)._rotate(n),m=new a(h.x1,h.y2*i)._rotate(n),v=new a(h.x2,h.y2*i)._rotate(n),g=Math.max(0,Math.min(25,this.zoom+Math.log(h.maxScale)/Math.LN2)),y=Math.max(0,Math.min(25,this.zoom+Math.log(h.placementScale)/Math.LN2));this.addCollisionBoxVertex(r,f,d,g,y),this.addCollisionBoxVertex(r,f,p,g,y),this.addCollisionBoxVertex(r,f,p,g,y),this.addCollisionBoxVertex(r,f,v,g,y),this.addCollisionBoxVertex(r,f,v,g,y),this.addCollisionBoxVertex(r,f,m,g,y),this.addCollisionBoxVertex(r,f,m,g,y),this.addCollisionBoxVertex(r,f,d,g,y)}}}},n.prototype.addSymbolInstance=function(t,e,r,i,a,o,s,l,u,c,h,f,d,p,v,y,b,w,M){var k,A,T,S,E,L,C,I;if(r&&(C=o?x(t,r,f,e,a,p):[],E=new g(l,e,t,u,c,h,r,f,d,p,!1)),k=this.symbolQuadsArray.length,C&&C.length)for(var z=0;z<C.length;z++)this.addSymbolQuad(C[z]);A=this.symbolQuadsArray.length;var D=E?E.boxStartIndex:this.collisionBoxArray.length,P=E?E.boxEndIndex:this.collisionBoxArray.length;i&&(I=o?_(t,i,v,e,a,b,r,w,M):[],L=new g(l,e,t,u,c,h,i,v,y,b,!0)),T=this.symbolQuadsArray.length,I&&1===I.length&&this.addSymbolQuad(I[0]),S=this.symbolQuadsArray.length;var O=L?L.boxStartIndex:this.collisionBoxArray.length,R=L?L.boxEndIndex:this.collisionBoxArray.length;return S>n.MAX_QUADS&&m.warnOnce("Too many symbols being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),A>n.MAX_QUADS&&m.warnOnce("Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907"),this.symbolInstancesArray.emplaceBack(D,P,O,R,k,A,T,S,t.x,t.y,s)},n.prototype.addSymbolQuad=function(t){return this.symbolQuadsArray.emplaceBack(t.anchorPoint.x,t.anchorPoint.y,t.tl.x,t.tl.y,t.tr.x,t.tr.y,t.bl.x,t.bl.y,t.br.x,t.br.y,t.tex.h,t.tex.w,t.tex.x,t.tex.y,t.anchorAngle,t.glyphAngle,t.maxScale,t.minScale)}},{"../../symbol/anchor":391,"../../symbol/clip_line":393,"../../symbol/collision_feature":395,"../../symbol/get_anchors":397,"../../symbol/mergelines":400,"../../symbol/quads":401,"../../symbol/resolve_text":402,"../../symbol/shaping":403,"../../util/token":441,"../../util/util":442,"../bucket":329,"../load_geometry":337,"point-geometry":484}],334:[function(t,e,r){"use strict";function n(t,e,r){this.arrayBuffer=t.arrayBuffer,this.length=t.length,this.attributes=e.members,this.itemSize=e.bytesPerElement,this.type=r,this.arrayType=e}e.exports=n,n.prototype.bind=function(t){var e=t[this.type];this.buffer?t.bindBuffer(e,this.buffer):(this.buffer=t.createBuffer(),t.bindBuffer(e,this.buffer),t.bufferData(e,this.arrayBuffer,t.STATIC_DRAW),this.arrayBuffer=null)};var i={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT"};n.prototype.setVertexAttribPointers=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],a=e[n.name];void 0!==a&&t.vertexAttribPointer(a,n.components,t[i[n.type]],!1,this.arrayType.bytesPerElement,n.offset)}},n.prototype.destroy=function(t){this.buffer&&t.deleteBuffer(this.buffer)},n.BufferType={VERTEX:"ARRAY_BUFFER",ELEMENT:"ELEMENT_ARRAY_BUFFER"}},{}],335:[function(t,e,r){"use strict";function n(t,e){this.layoutVertexBuffer=new a(t.layoutVertexArray,e.layoutVertexArrayType,a.BufferType.VERTEX),t.elementArray&&(this.elementBuffer=new a(t.elementArray,e.elementArrayType,a.BufferType.ELEMENT));var r,n=this.vaos={};t.elementArray2&&(this.elementBuffer2=new a(t.elementArray2,e.elementArrayType2,a.BufferType.ELEMENT),r=this.secondVaos={}),this.paintVertexBuffers=i.mapObject(t.paintVertexArrays,function(i,s){return n[s]=new o,t.elementArray2&&(r[s]=new o),new a(i,e.paintVertexArrayTypes[s],a.BufferType.VERTEX)})}var i=t("../util/util"),a=t("./buffer"),o=t("../render/vertex_array_object");e.exports=n,n.prototype.destroy=function(t){this.layoutVertexBuffer.destroy(t),this.elementBuffer&&this.elementBuffer.destroy(t),this.elementBuffer2&&this.elementBuffer2.destroy(t);for(var e in this.paintVertexBuffers)this.paintVertexBuffers[e].destroy(t);for(var r in this.vaos)this.vaos[r].destroy(t);for(var n in this.secondVaos)this.secondVaos[n].destroy(t)}},{"../render/vertex_array_object":357,"../util/util":442,"./buffer":334}],336:[function(t,e,r){"use strict";function n(t,e,r){if(t.grid){var n=t,i=e;t=n.coord,e=n.overscaling,this.grid=new p(n.grid),this.featureIndexArray=new k(n.featureIndexArray),this.rawTileData=i,this.bucketLayerIDs=n.bucketLayerIDs}else this.grid=new p(h,16,0),this.featureIndexArray=new k;this.coord=t,this.overscaling=e,this.x=t.x,this.y=t.y,this.z=t.z-Math.log(e)/Math.LN2,this.setCollisionTile(r)}function i(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function a(t,e){return e-t}function o(t){return t["line-gap-width"]>0?t["line-gap-width"]+2*t["line-width"]:t["line-width"]}function s(t,e,r,n,i){if(!e[0]&&!e[1])return t;e=u.convert(e),"viewport"===r&&e._rotate(-n);for(var a=[],o=0;o<t.length;o++){for(var s=t[o],l=[],c=0;c<s.length;c++)l.push(s[c].sub(e._mult(i)));a.push(l)}return a}function l(t,e){for(var r=[],n=new u(0,0),i=0;i<t.length;i++){for(var a=t[i],o=[],s=0;s<a.length;s++){var l=a[s-1],c=a[s],h=a[s+1],f=0===s?n:c.sub(l)._unit()._perp(),d=s===a.length-1?n:h.sub(c)._unit()._perp(),p=f._add(d)._unit(),m=p.x*d.x+p.y*d.y;p._mult(1/m),o.push(p._mult(e)._add(c))}r.push(o)}return r}var u=t("point-geometry"),c=t("./load_geometry"),h=t("./bucket").EXTENT,f=t("feature-filter"),d=t("../util/struct_array"),p=t("grid-index"),m=t("../util/dictionary_coder"),v=t("vector-tile"),g=t("pbf"),y=t("../util/vectortile_to_geojson"),b=t("../util/util").arraysIntersect,x=t("../util/intersection_tests"),_=x.multiPolygonIntersectsBufferedMultiPoint,w=x.multiPolygonIntersectsMultiPolygon,M=x.multiPolygonIntersectsBufferedMultiLine,k=new d({members:[{type:"Uint32",name:"featureIndex"},{type:"Uint16",name:"sourceLayerIndex"},{type:"Uint16",name:"bucketIndex"}]});e.exports=n,n.prototype.insert=function(t,e,r,n){var i=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(e,r,n);for(var a=c(t),o=0;o<a.length;o++){for(var s=a[o],l=[1/0,1/0,-1/0,-1/0],u=0;u<s.length;u++){var h=s[u];l[0]=Math.min(l[0],h.x),l[1]=Math.min(l[1],h.y),l[2]=Math.max(l[2],h.x),l[3]=Math.max(l[3],h.y)}this.grid.insert(i,l[0],l[1],l[2],l[3])}},n.prototype.setCollisionTile=function(t){this.collisionTile=t},n.prototype.serialize=function(){var t={coord:this.coord,overscaling:this.overscaling,grid:this.grid.toArrayBuffer(),featureIndexArray:this.featureIndexArray.serialize(),bucketLayerIDs:this.bucketLayerIDs};return{data:t,transferables:[t.grid,t.featureIndexArray.arrayBuffer]}},n.prototype.query=function(t,e){this.vtLayers||(this.vtLayers=new v.VectorTile(new g(new Uint8Array(this.rawTileData))).layers,this.sourceLayerCoder=new m(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"]));var r={},n=t.params||{},s=h/t.tileSize/t.scale,l=f(n.filter),c=0;for(var d in e){var p=e[d],y=p.paint,b=0;"line"===p.type?b=o(y)/2+Math.abs(y["line-offset"])+i(y["line-translate"]):"fill"===p.type?b=i(y["fill-translate"]):"circle"===p.type&&(b=y["circle-radius"]+i(y["circle-translate"])),c=Math.max(c,b*s)}for(var x=t.queryGeometry.map(function(t){return t.map(function(t){return new u(t.x,t.y)})}),_=1/0,w=1/0,M=-1/0,k=-1/0,A=0;A<x.length;A++)for(var T=x[A],S=0;S<T.length;S++){var E=T[S];_=Math.min(_,E.x),w=Math.min(w,E.y),M=Math.max(M,E.x),k=Math.max(k,E.y)}var L=this.grid.query(_-c,w-c,M+c,k+c);L.sort(a),this.filterMatching(r,L,this.featureIndexArray,x,l,n.layers,e,t.bearing,s);var C=this.collisionTile.queryRenderedSymbols(_,w,M,k,t.scale);return C.sort(),this.filterMatching(r,C,this.collisionTile.collisionBoxArray,x,l,n.layers,e,t.bearing,s),r},n.prototype.filterMatching=function(t,e,r,n,i,a,u,h,f){for(var d,p=0;p<e.length;p++){var m=e[p];if(m!==d){d=m;var v=r.get(m),g=this.bucketLayerIDs[v.bucketIndex];if(!a||b(a,g)){var x=this.sourceLayerCoder.decode(v.sourceLayerIndex),k=this.vtLayers[x],A=k.feature(v.featureIndex);if(i(A))for(var T=null,S=0;S<g.length;S++){var E=g[S];if(!(a&&a.indexOf(E)<0)){var L=u[E];if(L){var C;if("symbol"!==L.type){T||(T=c(A));var I=L.paint;if("line"===L.type){C=s(n,I["line-translate"],I["line-translate-anchor"],h,f);var z=o(I)/2*f;if(I["line-offset"]&&(T=l(T,I["line-offset"]*f)),!M(C,T,z))continue}else if("fill"===L.type){if(C=s(n,I["fill-translate"],I["fill-translate-anchor"],h,f),!w(C,T))continue}else if("circle"===L.type){C=s(n,I["circle-translate"],I["circle-translate-anchor"],h,f);var D=I["circle-radius"]*f;if(!_(C,T,D))continue}}var P=new y(A,this.z,this.x,this.y);P.layer=L.serialize({includeRefProperties:!0});var O=t[E];void 0===O&&(O=t[E]=[]),O.push(P)}}}}}}}},{"../util/dictionary_coder":432,"../util/intersection_tests":437,"../util/struct_array":440,"../util/util":442,"../util/vectortile_to_geojson":443,"./bucket":329,"./load_geometry":337,"feature-filter":132,"grid-index":287,pbf:478,"point-geometry":484,"vector-tile":550}],337:[function(t,e,r){"use strict";function n(t){return{min:-1*Math.pow(2,t-1),max:Math.pow(2,t-1)-1}}var i=t("../util/util"),a=t("./bucket").EXTENT,o=t("assert"),s={15:n(15),16:n(16)};e.exports=function(t,e){var r=s[e||16];o(r);for(var n=a/t.extent,l=t.loadGeometry(),u=0;u<l.length;u++)for(var c=l[u],h=0;h<c.length;h++){var f=c[h];f.x=Math.round(f.x*n),f.y=Math.round(f.y*n),(f.x<r.min||f.x>r.max||f.y<r.min||f.y>r.max)&&i.warnOnce("Geometry exceeds allowed extent, reduce your vector tile buffer size")}return l}},{"../util/util":442,"./bucket":329,assert:47}],338:[function(t,e,r){"use strict";function n(t,e,r){this.column=t,this.row=e,this.zoom=r}e.exports=n,n.prototype={clone:function(){return new n(this.column,this.row,this.zoom)},zoomTo:function(t){return this.clone()._zoomTo(t)},sub:function(t){return this.clone()._sub(t)},_zoomTo:function(t){var e=Math.pow(2,t-this.zoom);return this.column*=e,this.row*=e,this.zoom=t,this},_sub:function(t){return t=t.zoomTo(this.zoom),this.column-=t.column,this.row-=t.row,this}}},{}],339:[function(t,e,r){"use strict";function n(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")}e.exports=n -;var i=t("../util/util").wrap;n.prototype.wrap=function(){return new n(i(this.lng,-180,180),this.lat)},n.prototype.toArray=function(){return[this.lng,this.lat]},n.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},n.convert=function(t){return t instanceof n?t:Array.isArray(t)?new n(t[0],t[1]):t}},{"../util/util":442}],340:[function(t,e,r){"use strict";function n(t,e){t&&(e?this.extend(t).extend(e):4===t.length?this.extend([t[0],t[1]]).extend([t[2],t[3]]):this.extend(t[0]).extend(t[1]))}e.exports=n;var i=t("./lng_lat");n.prototype={extend:function(t){var e,r,a=this._sw,o=this._ne;if(t instanceof i)e=t,r=t;else{if(!(t instanceof n))return t?this.extend(i.convert(t)||n.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return a||o?(a.lng=Math.min(e.lng,a.lng),a.lat=Math.min(e.lat,a.lat),o.lng=Math.max(r.lng,o.lng),o.lat=Math.max(r.lat,o.lat)):(this._sw=new i(e.lng,e.lat),this._ne=new i(r.lng,r.lat)),this},getCenter:function(){return new i((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},getSouthWest:function(){return this._sw},getNorthEast:function(){return this._ne},getNorthWest:function(){return new i(this.getWest(),this.getNorth())},getSouthEast:function(){return new i(this.getEast(),this.getSouth())},getWest:function(){return this._sw.lng},getSouth:function(){return this._sw.lat},getEast:function(){return this._ne.lng},getNorth:function(){return this._ne.lat},toArray:function(){return[this._sw.toArray(),this._ne.toArray()]},toString:function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"}},n.convert=function(t){return!t||t instanceof n?t:new n(t)}},{"./lng_lat":339}],341:[function(t,e,r){"use strict";function n(t,e){this.tileSize=512,this._minZoom=t||0,this._maxZoom=e||22,this.latRange=[-85.05113,85.05113],this.width=0,this.height=0,this._center=new i(0,0),this.zoom=0,this.angle=0,this._altitude=1.5,this._pitch=0,this._unmodified=!0}var i=t("./lng_lat"),a=t("point-geometry"),o=t("./coordinate"),s=t("../util/util").wrap,l=t("../util/interpolate"),u=t("../source/tile_coord"),c=t("../data/bucket").EXTENT,h=t("gl-matrix"),f=h.vec4,d=h.mat4,p=h.mat2;e.exports=n,n.prototype={get minZoom(){return this._minZoom},set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},get maxZoom(){return this._maxZoom},set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},get worldSize(){return this.tileSize*this.scale},get centerPoint(){return this.size._div(2)},get size(){return new a(this.width,this.height)},get bearing(){return-this.angle/Math.PI*180},set bearing(t){var e=-s(t,-180,180)*Math.PI/180;this.angle!==e&&(this._unmodified=!1,this.angle=e,this._calcMatrices(),this.rotationMatrix=p.create(),p.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},get pitch(){return this._pitch/Math.PI*180},set pitch(t){var e=Math.min(60,t)/180*Math.PI;this._pitch!==e&&(this._unmodified=!1,this._pitch=e,this._calcMatrices())},get altitude(){return this._altitude},set altitude(t){var e=Math.max(.75,t);this._altitude!==e&&(this._unmodified=!1,this._altitude=e,this._calcMatrices())},get zoom(){return this._zoom},set zoom(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._calcMatrices(),this._constrain())},get center(){return this._center},set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._calcMatrices(),this._constrain())},coveringZoomLevel:function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},coveringTiles:function(t){var e=this.coveringZoomLevel(t),r=e;if(e<t.minzoom)return[];e>t.maxzoom&&(e=t.maxzoom);var n=this,i=n.locationCoordinate(n.center)._zoomTo(e),o=new a(i.column-.5,i.row-.5);return u.cover(e,[n.pointCoordinate(new a(0,0))._zoomTo(e),n.pointCoordinate(new a(n.width,0))._zoomTo(e),n.pointCoordinate(new a(n.width,n.height))._zoomTo(e),n.pointCoordinate(new a(0,n.height))._zoomTo(e)],t.reparseOverscaled?r:e).sort(function(t,e){return o.dist(t)-o.dist(e)})},resize:function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._calcMatrices(),this._constrain()},get unmodified(){return this._unmodified},zoomScale:function(t){return Math.pow(2,t)},scaleZoom:function(t){return Math.log(t)/Math.LN2},project:function(t,e){return new a(this.lngX(t.lng,e),this.latY(t.lat,e))},unproject:function(t,e){return new i(this.xLng(t.x,e),this.yLat(t.y,e))},get x(){return this.lngX(this.center.lng)},get y(){return this.latY(this.center.lat)},get point(){return new a(this.x,this.y)},lngX:function(t,e){return(180+t)*(e||this.worldSize)/360},latY:function(t,e){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))*(e||this.worldSize)/360},xLng:function(t,e){return 360*t/(e||this.worldSize)-180},yLat:function(t,e){var r=180-360*t/(e||this.worldSize);return 360/Math.PI*Math.atan(Math.exp(r*Math.PI/180))-90},panBy:function(t){var e=this.centerPoint._add(t);this.center=this.pointLocation(e)},setLocationAtPoint:function(t,e){var r=this.locationCoordinate(t),n=this.pointCoordinate(e),i=this.pointCoordinate(this.centerPoint),a=n._sub(r);this._unmodified=!1,this.center=this.coordinateLocation(i._sub(a))},locationPoint:function(t){return this.coordinatePoint(this.locationCoordinate(t))},pointLocation:function(t){return this.coordinateLocation(this.pointCoordinate(t))},locationCoordinate:function(t){var e=this.zoomScale(this.tileZoom)/this.worldSize,r=i.convert(t);return new o(this.lngX(r.lng)*e,this.latY(r.lat)*e,this.tileZoom)},coordinateLocation:function(t){var e=this.zoomScale(t.zoom);return new i(this.xLng(t.column,e),this.yLat(t.row,e))},pointCoordinate:function(t){var e=[t.x,t.y,0,1],r=[t.x,t.y,1,1];f.transformMat4(e,e,this.pixelMatrixInverse),f.transformMat4(r,r,this.pixelMatrixInverse);var n=e[3],i=r[3],a=e[0]/n,s=r[0]/i,u=e[1]/n,c=r[1]/i,h=e[2]/n,d=r[2]/i,p=h===d?0:(0-h)/(d-h),m=this.worldSize/this.zoomScale(this.tileZoom);return new o(l(a,s,p)/m,l(u,c,p)/m,this.tileZoom)},coordinatePoint:function(t){var e=this.worldSize/this.zoomScale(t.zoom),r=[t.column*e,t.row*e,0,1];return f.transformMat4(r,r,this.pixelMatrix),new a(r[0]/r[3],r[1]/r[3])},calculatePosMatrix:function(t,e){void 0===e&&(e=1/0),t instanceof u&&(t=t.toCoordinate(e));var r=Math.min(t.zoom,e),n=this.worldSize/Math.pow(2,r),i=new Float64Array(16);return d.identity(i),d.translate(i,i,[t.column*n,t.row*n,0]),d.scale(i,i,[n/c,n/c,1]),d.multiply(i,this.projMatrix,i),new Float32Array(i)},_constrain:function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var t,e,r,n,i,o,s,l,u=this.size,c=this._unmodified;this.latRange&&(t=this.latY(this.latRange[1]),e=this.latY(this.latRange[0]),i=e-t<u.y?u.y/(e-t):0),this.lngRange&&(r=this.lngX(this.lngRange[0]),n=this.lngX(this.lngRange[1]),o=n-r<u.x?u.x/(n-r):0);var h=Math.max(o||0,i||0);if(h)return this.center=this.unproject(new a(o?(n+r)/2:this.x,i?(e+t)/2:this.y)),this.zoom+=this.scaleZoom(h),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var f=this.y,d=u.y/2;f-d<t&&(l=t+d),f+d>e&&(l=e-d)}if(this.lngRange){var p=this.x,m=u.x/2;p-m<r&&(s=r+m),p+m>n&&(s=n-m)}void 0===s&&void 0===l||(this.center=this.unproject(new a(void 0!==s?s:this.x,void 0!==l?l:this.y))),this._unmodified=c,this._constraining=!1}},_calcMatrices:function(){if(this.height){var t=Math.atan(.5/this.altitude),e=Math.sin(t)*this.altitude/Math.sin(Math.PI/2-this._pitch-t),r=Math.cos(Math.PI/2-this._pitch)*e+this.altitude,n=new Float64Array(16);if(d.perspective(n,2*Math.atan(this.height/2/this.altitude),this.width/this.height,.1,r),d.translate(n,n,[0,0,-this.altitude]),d.scale(n,n,[1,-1,1/this.height]),d.rotateX(n,n,this._pitch),d.rotateZ(n,n,this.angle),d.translate(n,n,[-this.x,-this.y,0]),this.projMatrix=n,n=d.create(),d.scale(n,n,[this.width/2,-this.height/2,1]),d.translate(n,n,[1,-1,0]),this.pixelMatrix=d.multiply(new Float64Array(16),n,this.projMatrix),!(n=d.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=n}}}},{"../data/bucket":329,"../source/tile_coord":369,"../util/interpolate":436,"../util/util":442,"./coordinate":338,"./lng_lat":339,"gl-matrix":193,"point-geometry":484}],342:[function(t,e,r){"use strict";var n={" 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a,o,s,l,u,c,h,f,d=[];for(a=0,o=t.length;a<o;a++)if(u=n[t[a]]){for(f=null,s=0,l=u[1].length;s<l;s+=2)-1===u[1][s]&&-1===u[1][s+1]?f=null:(c=e+u[1][s]*i,h=r-u[1][s+1]*i,f&&d.push(f.x,f.y,c,h),f={x:c,y:h});e+=u[0]*i}return d}},{}],343:[function(t,e,r){"use strict";var n=e.exports={};n.version=t("../package.json").version,n.Map=t("./ui/map"),n.Control=t("./ui/control/control"),n.Navigation=t("./ui/control/navigation"),n.Geolocate=t("./ui/control/geolocate"),n.Attribution=t("./ui/control/attribution"),n.Popup=t("./ui/popup"),n.Marker=t("./ui/marker"),n.Style=t("./style/style"),n.LngLat=t("./geo/lng_lat"),n.LngLatBounds=t("./geo/lng_lat_bounds"),n.Point=t("point-geometry"),n.Evented=t("./util/evented"),n.util=t("./util/util"),n.supported=t("./util/browser").supported;var i=t("./util/ajax");n.util.getJSON=i.getJSON,n.util.getArrayBuffer=i.getArrayBuffer;var a=t("./util/config");n.config=a,Object.defineProperty(n,"accessToken",{get:function(){return a.ACCESS_TOKEN},set:function(t){a.ACCESS_TOKEN=t}})},{"../package.json":444,"./geo/lng_lat":339,"./geo/lng_lat_bounds":340,"./style/style":378,"./ui/control/attribution":409,"./ui/control/control":410,"./ui/control/geolocate":411,"./ui/control/navigation":412,"./ui/map":421,"./ui/marker":422,"./ui/popup":423,"./util/ajax":425,"./util/browser":426,"./util/config":431,"./util/evented":434,"./util/util":442,"point-geometry":484}],344:[function(t,e,r){"use strict";var n=t("assert");e.exports=function(t){for(var e={define:{},initialize:{}},r=0;r<t.length;r++){var i=t[r];n("u_"===i.name.slice(0,2));var a="{precision} "+(1===i.components?"float":"vec"+i.components);e.define[i.name.slice(2)]="uniform "+a+" "+i.name+";\n",e.initialize[i.name.slice(2)]=a+" "+i.name.slice(2)+" = "+i.name+";\n"}return e}},{assert:47}],345:[function(t,e,r){"use strict";function n(t,e,r){var n,s=t.gl,l=t.transform,u=r.paint["background-color"],c=r.paint["background-pattern"],h=r.paint["background-opacity"],f=c?t.spriteAtlas.getPosition(c.from,!0):null,d=c?t.spriteAtlas.getPosition(c.to,!0):null;if(t.setDepthSublayer(0),f&&d){if(t.isOpaquePass)return;n=t.useProgram("pattern"),s.uniform1i(n.u_image,0),s.uniform2fv(n.u_pattern_tl_a,f.tl),s.uniform2fv(n.u_pattern_br_a,f.br),s.uniform2fv(n.u_pattern_tl_b,d.tl),s.uniform2fv(n.u_pattern_br_b,d.br),s.uniform1f(n.u_opacity,h),s.uniform1f(n.u_mix,c.t),s.uniform2fv(n.u_pattern_size_a,f.size),s.uniform2fv(n.u_pattern_size_b,d.size),s.uniform1f(n.u_scale_a,c.fromScale),s.uniform1f(n.u_scale_b,c.toScale),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),t.tileExtentPatternVAO.bind(s,n,t.tileExtentBuffer)}else{if(t.isOpaquePass!==(1===u[3]))return;var p=a([{name:"u_color",components:4},{name:"u_opacity",components:1}]);n=t.useProgram("fill",[],p,p),s.uniform4fv(n.u_color,u),s.uniform1f(n.u_opacity,h),t.tileExtentVAO.bind(s,n,t.tileExtentBuffer)}s.disable(s.STENCIL_TEST);for(var m=l.coveringTiles({tileSize:o}),v=0;v<m.length;v++){var g=m[v];if(f&&d){var y={coord:g,tileSize:o};s.uniform1f(n.u_tile_units_to_pixels,1/i(y,1,t.transform.tileZoom));var b=y.tileSize*Math.pow(2,t.transform.tileZoom-y.coord.z),x=b*(y.coord.x+g.w*Math.pow(2,y.coord.z)),_=b*y.coord.y;s.uniform2f(n.u_pixel_coord_upper,x>>16,_>>16),s.uniform2f(n.u_pixel_coord_lower,65535&x,65535&_)}s.uniformMatrix4fv(n.u_matrix,!1,t.transform.calculatePosMatrix(g)),s.drawArrays(s.TRIANGLE_STRIP,0,t.tileExtentBuffer.length)}s.stencilMask(0),s.stencilFunc(s.EQUAL,128,128)}var i=t("../source/pixels_to_tile_units"),a=t("./create_uniform_pragmas"),o=512;e.exports=n},{"../source/pixels_to_tile_units":363,"./create_uniform_pragmas":344}],346:[function(t,e,r){"use strict";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;t.setDepthSublayer(0),t.depthMask(!1),a.disable(a.STENCIL_TEST);for(var o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.circle;if(c){var h=u.paintAttributes.circle[r.id],f=t.useProgram("circle",h.defines,h.vertexPragmas,h.fragmentPragmas);"map"===r.paint["circle-pitch-scale"]?(a.uniform1i(f.u_scale_with_map,!0),a.uniform2f(f.u_extrude_scale,t.transform.pixelsToGLUnits[0]*t.transform.altitude,t.transform.pixelsToGLUnits[1]*t.transform.altitude)):(a.uniform1i(f.u_scale_with_map,!1),a.uniform2fv(f.u_extrude_scale,t.transform.pixelsToGLUnits)),a.uniform1f(f.u_devicepixelratio,i.devicePixelRatio),a.uniformMatrix4fv(f.u_matrix,!1,t.translatePosMatrix(s.posMatrix,l,r.paint["circle-translate"],r.paint["circle-translate-anchor"])),u.setUniforms(a,"circle",f,r,{zoom:t.transform.zoom});for(var d=0;d<c.length;d++){var p=c[d];p.vaos[r.id].bind(a,f,p.layoutVertexBuffer,p.elementBuffer,p.paintVertexBuffers[r.id]),a.drawElements(a.TRIANGLES,3*p.elementBuffer.length,a.UNSIGNED_SHORT,0)}}}}}}var i=t("../util/browser");e.exports=n},{"../util/browser":426}],347:[function(t,e,r){"use strict";function n(t,e,r,n){var i=t.gl;i.enable(i.STENCIL_TEST);for(var a=t.useProgram("collisionbox"),o=0;o<n.length;o++){var s=n[o],l=e.getTile(s),u=l.getBucket(r);if(u){var c=u.bufferGroups.collisionBox;if(c&&c.length){var h=c[0];0!==h.layoutVertexBuffer.length&&(i.uniformMatrix4fv(a.u_matrix,!1,s.posMatrix),t.enableTileClippingMask(s),t.lineWidth(1),i.uniform1f(a.u_scale,Math.pow(2,t.transform.zoom-l.coord.z)),i.uniform1f(a.u_zoom,10*t.transform.zoom),i.uniform1f(a.u_maxzoom,10*(l.coord.z+1)),h.vaos[r.id].bind(i,a,h.layoutVertexBuffer),i.drawArrays(i.LINES,0,h.layoutVertexBuffer.length))}}}}e.exports=n},{}],348:[function(t,e,r){"use strict";function n(t,e,r){if(!t.isOpaquePass&&t.options.debug)for(var n=0;n<r.length;n++)i(t,e,r[n])}function i(t,e,r){var n=t.gl;n.disable(n.STENCIL_TEST),t.lineWidth(1*o.devicePixelRatio);var i=r.posMatrix,h=t.useProgram("debug");n.uniformMatrix4fv(h.u_matrix,!1,i),n.uniform4f(h.u_color,1,0,0,1),t.debugVAO.bind(n,h,t.debugBuffer),n.drawArrays(n.LINE_STRIP,0,t.debugBuffer.length);for(var f=a(r.toString(),50,200,5),d=new t.PosArray,p=0;p<f.length;p+=2)d.emplaceBack(f[p],f[p+1]);var m=new u(d.serialize(),t.PosArray.serialize(),u.BufferType.VERTEX);(new c).bind(n,h,m),n.uniform4f(h.u_color,1,1,1,1);for(var v=e.getTile(r).tileSize,g=l/(Math.pow(2,t.transform.zoom-r.z)*v),y=[[-1,-1],[-1,1],[1,-1],[1,1]],b=0;b<y.length;b++){var x=y[b];n.uniformMatrix4fv(h.u_matrix,!1,s.translate([],i,[g*x[0],g*x[1],0])),n.drawArrays(n.LINES,0,m.length)}n.uniform4f(h.u_color,0,0,0,1),n.uniformMatrix4fv(h.u_matrix,!1,i),n.drawArrays(n.LINES,0,m.length)}var a=t("../lib/debugtext"),o=t("../util/browser"),s=t("gl-matrix").mat4,l=t("../data/bucket").EXTENT,u=t("../data/buffer"),c=t("./vertex_array_object");e.exports=n},{"../data/bucket":329,"../data/buffer":334,"../lib/debugtext":342,"../util/browser":426,"./vertex_array_object":357,"gl-matrix":193}],349:[function(t,e,r){"use strict";function n(t,e,r,n){var o=t.gl;o.enable(o.STENCIL_TEST);var s;if(s=!r.paint["fill-pattern"]&&(r.isPaintValueFeatureConstant("fill-color")&&r.isPaintValueFeatureConstant("fill-opacity")&&1===r.paint["fill-color"][3]&&1===r.paint["fill-opacity"]),t.isOpaquePass===s){t.setDepthSublayer(1);for(var l=0;l<n.length;l++)i(t,e,r,n[l])}if(!t.isOpaquePass&&r.paint["fill-antialias"]){t.lineWidth(2),t.depthMask(!1);var u=r.getPaintProperty("fill-outline-color");(u||!r.paint["fill-pattern"])&&u?t.setDepthSublayer(2):t.setDepthSublayer(0);for(var c=0;c<n.length;c++)a(t,e,r,n[c])}}function i(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s=a.bufferGroups.fill;if(s){var l,u=t.gl,c=r.paint["fill-pattern"];if(c)l=t.useProgram("pattern"),o(c,r.paint["fill-opacity"],i,n,t,l),u.activeTexture(u.TEXTURE0),t.spriteAtlas.bind(u,!0);else{var h=a.paintAttributes.fill[r.id];l=t.useProgram("fill",h.defines,h.vertexPragmas,h.fragmentPragmas),a.setUniforms(u,"fill",l,r,{zoom:t.transform.zoom})}u.uniformMatrix4fv(l.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint["fill-translate"],r.paint["fill-translate-anchor"])),t.enableTileClippingMask(n);for(var f=0;f<s.length;f++){var d=s[f];d.vaos[r.id].bind(u,l,d.layoutVertexBuffer,d.elementBuffer,d.paintVertexBuffers[r.id]),u.drawElements(u.TRIANGLES,d.elementBuffer.length,u.UNSIGNED_SHORT,0)}}}}function a(t,e,r,n){var i=e.getTile(n),a=i.getBucket(r);if(a){var s,l=t.gl,u=a.bufferGroups.fill,c=r.paint["fill-pattern"],h=r.paint["fill-opacity"],f=r.getPaintProperty("fill-outline-color");if(c&&!f)s=t.useProgram("outlinepattern"),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight);else{var d=a.paintAttributes.fill[r.id];s=t.useProgram("outline",d.defines,d.vertexPragmas,d.fragmentPragmas),l.uniform2f(s.u_world,l.drawingBufferWidth,l.drawingBufferHeight),l.uniform1f(s.u_opacity,h),a.setUniforms(l,"fill",s,r,{zoom:t.transform.zoom})}l.uniformMatrix4fv(s.u_matrix,!1,t.translatePosMatrix(n.posMatrix,i,r.paint["fill-translate"],r.paint["fill-translate-anchor"])),c&&o(c,h,i,n,t,s),t.enableTileClippingMask(n);for(var p=0;p<u.length;p++){var m=u[p];m.secondVaos[r.id].bind(l,s,m.layoutVertexBuffer,m.elementBuffer2,m.paintVertexBuffers[r.id]),l.drawElements(l.LINES,2*m.elementBuffer2.length,l.UNSIGNED_SHORT,0)}}}function o(t,e,r,n,i,a){var o=i.gl,l=i.spriteAtlas.getPosition(t.from,!0),u=i.spriteAtlas.getPosition(t.to,!0);if(l&&u){o.uniform1i(a.u_image,0),o.uniform2fv(a.u_pattern_tl_a,l.tl),o.uniform2fv(a.u_pattern_br_a,l.br),o.uniform2fv(a.u_pattern_tl_b,u.tl),o.uniform2fv(a.u_pattern_br_b,u.br),o.uniform1f(a.u_opacity,e),o.uniform1f(a.u_mix,t.t),o.uniform1f(a.u_tile_units_to_pixels,1/s(r,1,i.transform.tileZoom)),o.uniform2fv(a.u_pattern_size_a,l.size),o.uniform2fv(a.u_pattern_size_b,u.size),o.uniform1f(a.u_scale_a,t.fromScale),o.uniform1f(a.u_scale_b,t.toScale);var c=r.tileSize*Math.pow(2,i.transform.tileZoom-r.coord.z),h=c*(r.coord.x+n.w*Math.pow(2,r.coord.z)),f=c*r.coord.y;o.uniform2f(a.u_pixel_coord_upper,h>>16,f>>16),o.uniform2f(a.u_pixel_coord_lower,65535&h,65535&f),o.activeTexture(o.TEXTURE0),i.spriteAtlas.bind(o,!0)}}var s=t("../source/pixels_to_tile_units");e.exports=n},{"../source/pixels_to_tile_units":363}],350:[function(t,e,r){"use strict";var n=t("../util/browser"),i=t("gl-matrix").mat2,a=t("../source/pixels_to_tile_units");e.exports=function(t,e,r,o){if(!t.isOpaquePass){t.setDepthSublayer(0),t.depthMask(!1);var s=t.gl;if(s.enable(s.STENCIL_TEST),!(r.paint["line-width"]<=0)){var l=1/n.devicePixelRatio,u=r.paint["line-blur"]+l,c=r.paint["line-color"],h=t.transform,f=i.create();i.scale(f,f,[1,Math.cos(h._pitch)]),i.rotate(f,f,t.transform.angle);var d,p,m,v,g,y=Math.sqrt(h.height*h.height/4*(1+h.altitude*h.altitude)),b=h.height/2*Math.tan(h._pitch),x=(y+b)/y-1,_=r.paint["line-dasharray"],w=r.paint["line-pattern"];if(_)d=t.useProgram("linesdfpattern"),s.uniform1f(d.u_linewidth,r.paint["line-width"]/2),s.uniform1f(d.u_gapwidth,r.paint["line-gap-width"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint["line-opacity"]),p=t.lineAtlas.getDash(_.from,"round"===r.layout["line-cap"]),m=t.lineAtlas.getDash(_.to,"round"===r.layout["line-cap"]),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.lineAtlas.bind(s),s.uniform1f(d.u_tex_y_a,p.y),s.uniform1f(d.u_tex_y_b,m.y),s.uniform1f(d.u_mix,_.t),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint["line-offset"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f);else if(w){if(v=t.spriteAtlas.getPosition(w.from,!0),g=t.spriteAtlas.getPosition(w.to,!0),!v||!g)return;d=t.useProgram("linepattern"),s.uniform1i(d.u_image,0),s.activeTexture(s.TEXTURE0),t.spriteAtlas.bind(s,!0),s.uniform1f(d.u_linewidth,r.paint["line-width"]/2),s.uniform1f(d.u_gapwidth,r.paint["line-gap-width"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform2fv(d.u_pattern_tl_a,v.tl),s.uniform2fv(d.u_pattern_br_a,v.br),s.uniform2fv(d.u_pattern_tl_b,g.tl),s.uniform2fv(d.u_pattern_br_b,g.br),s.uniform1f(d.u_fade,w.t),s.uniform1f(d.u_opacity,r.paint["line-opacity"]),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint["line-offset"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f)}else d=t.useProgram("line"),s.uniform1f(d.u_linewidth,r.paint["line-width"]/2),s.uniform1f(d.u_gapwidth,r.paint["line-gap-width"]/2),s.uniform1f(d.u_antialiasing,l/2),s.uniform1f(d.u_blur,u),s.uniform1f(d.u_extra,x),s.uniform1f(d.u_offset,-r.paint["line-offset"]),s.uniformMatrix2fv(d.u_antialiasingmatrix,!1,f),s.uniform4fv(d.u_color,c),s.uniform1f(d.u_opacity,r.paint["line-opacity"]);for(var M=0;M<o.length;M++){var k=o[M],A=e.getTile(k),T=A.getBucket(r);if(T){var S=T.bufferGroups.line;if(S){t.enableTileClippingMask(k);var E=t.translatePosMatrix(k.posMatrix,A,r.paint["line-translate"],r.paint["line-translate-anchor"]);s.uniformMatrix4fv(d.u_matrix,!1,E);var L=1/a(A,1,t.transform.zoom);if(_){var C=p.width*_.fromScale,I=m.width*_.toScale,z=[1/a(A,C,t.transform.tileZoom),-p.height/2],D=[1/a(A,I,t.transform.tileZoom),-m.height/2],P=t.lineAtlas.width/(256*Math.min(C,I)*n.devicePixelRatio)/2;s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_patternscale_a,z),s.uniform2fv(d.u_patternscale_b,D),s.uniform1f(d.u_sdfgamma,P)}else w?(s.uniform1f(d.u_ratio,L),s.uniform2fv(d.u_pattern_size_a,[a(A,v.size[0]*w.fromScale,t.transform.tileZoom),g.size[1]]),s.uniform2fv(d.u_pattern_size_b,[a(A,g.size[0]*w.toScale,t.transform.tileZoom),g.size[1]])):s.uniform1f(d.u_ratio,L);for(var O=0;O<S.length;O++){var R=S[O];R.vaos[r.id].bind(s,d,R.layoutVertexBuffer,R.elementBuffer),s.drawElements(s.TRIANGLES,3*R.elementBuffer.length,s.UNSIGNED_SHORT,0)}}}}}}}},{"../source/pixels_to_tile_units":363,"../util/browser":426,"gl-matrix":193}],351:[function(t,e,r){"use strict";function n(t,e,r,n){if(!t.isOpaquePass){var a=t.gl;a.enable(a.DEPTH_TEST),t.depthMask(!0),a.depthFunc(a.LESS);for(var o=n.length&&n[0].z,s=0;s<n.length;s++){var l=n[s];t.setDepthSublayer(l.z-o),i(t,e,r,l)}a.depthFunc(a.LEQUAL)}}function i(t,e,r,n){var i=t.gl;i.disable(i.STENCIL_TEST);var u=e.getTile(n),c=t.transform.calculatePosMatrix(n,e.maxzoom),h=t.useProgram("raster");i.uniformMatrix4fv(h.u_matrix,!1,c),i.uniform1f(h.u_brightness_low,r.paint["raster-brightness-min"]),i.uniform1f(h.u_brightness_high,r.paint["raster-brightness-max"]),i.uniform1f(h.u_saturation_factor,s(r.paint["raster-saturation"])),i.uniform1f(h.u_contrast_factor,o(r.paint["raster-contrast"])),i.uniform3fv(h.u_spin_weights,a(r.paint["raster-hue-rotate"]));var f,d,p=u.source&&u.source.findLoadedParent(n,0,{}),m=l(u,p,r,t.transform);i.activeTexture(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,u.texture),i.activeTexture(i.TEXTURE1),p?(i.bindTexture(i.TEXTURE_2D,p.texture),f=Math.pow(2,p.coord.z-u.coord.z),d=[u.coord.x*f%1,u.coord.y*f%1]):(i.bindTexture(i.TEXTURE_2D,u.texture),m[1]=0),i.uniform2fv(h.u_tl_parent,d||[0,0]),i.uniform1f(h.u_scale_parent,f||1),i.uniform1f(h.u_buffer_scale,1),i.uniform1f(h.u_opacity0,m[0]),i.uniform1f(h.u_opacity1,m[1]),i.uniform1i(h.u_image0,0),i.uniform1i(h.u_image1,1);var v=u.boundsBuffer||t.rasterBoundsBuffer;(u.boundsVAO||t.rasterBoundsVAO).bind(i,h,v),i.drawArrays(i.TRIANGLE_STRIP,0,v.length)}function a(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}function o(t){return t>0?1/(1-t):1+t}function s(t){return t>0?1-1/(1.001-t):-t}function l(t,e,r,n){var i=[1,0],a=r.paint["raster-fade-duration"];if(t.source&&a>0){var o=(new Date).getTime(),s=(o-t.timeAdded)/a,l=e?(o-e.timeAdded)/a:-1,c=n.coveringZoomLevel(t.source),h=!!e&&Math.abs(e.coord.z-c)>Math.abs(t.coord.z-c);!e||h?(i[0]=u.clamp(s,0,1),i[1]=1-i[0]):(i[0]=u.clamp(1-l,0,1),i[1]=1-i[0])}var f=r.paint["raster-opacity"];return i[0]*=f,i[1]*=f,i}var u=t("../util/util"),c=t("../util/struct_array");e.exports=n,n.RasterBoundsArray=new c({members:[{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]})},{"../util/struct_array":440,"../util/util":442}],352:[function(t,e,r){"use strict";function n(t,e,r,n){if(!t.isOpaquePass){var a=!(r.layout["text-allow-overlap"]||r.layout["icon-allow-overlap"]||r.layout["text-ignore-placement"]||r.layout["icon-ignore-placement"]),o=t.gl;a?o.disable(o.STENCIL_TEST):o.enable(o.STENCIL_TEST),t.setDepthSublayer(0),t.depthMask(!1),o.disable(o.DEPTH_TEST),i(t,e,r,n,!1,r.paint["icon-translate"],r.paint["icon-translate-anchor"],r.layout["icon-rotation-alignment"],r.layout["icon-rotation-alignment"],r.layout["icon-size"],r.paint["icon-halo-width"],r.paint["icon-halo-color"],r.paint["icon-halo-blur"],r.paint["icon-opacity"],r.paint["icon-color"]), -i(t,e,r,n,!0,r.paint["text-translate"],r.paint["text-translate-anchor"],r.layout["text-rotation-alignment"],r.layout["text-pitch-alignment"],r.layout["text-size"],r.paint["text-halo-width"],r.paint["text-halo-color"],r.paint["text-halo-blur"],r.paint["text-opacity"],r.paint["text-color"]),o.enable(o.DEPTH_TEST),e.map.showCollisionBoxes&&s(t,e,r,n)}}function i(t,e,r,n,i,o,s,l,u,c,h,f,d,p,m){for(var v=0;v<n.length;v++){var g=e.getTile(n[v]),y=g.getBucket(r);if(y){var b=y.bufferGroups,x=i?b.glyph:b.icon;x.length&&(t.enableTileClippingMask(n[v]),a(t,r,n[v].posMatrix,g,y,x,i,i||y.sdfIcons,!i&&y.iconsNeedLinear,i?y.adjustedTextSize:y.adjustedIconSize,y.fontstack,o,s,l,u,c,h,f,d,p,m))}}}function a(t,e,r,n,i,a,s,u,c,h,f,d,p,m,v,g,y,b,x,_,w){var M,k,A,T=t.gl,S=t.transform,E="map"===m,L="map"===v,C=s?24:1,I=g/C;if(L?(k=l(n,1,t.transform.zoom)*I,A=1/Math.cos(S._pitch),M=[k,k]):(k=t.transform.altitude*I,A=1,M=[S.pixelsToGLUnits[0]*k,S.pixelsToGLUnits[1]*k]),s||t.style.sprite.loaded()){var z=t.useProgram(u?"sdf":"icon");if(T.uniformMatrix4fv(z.u_matrix,!1,t.translatePosMatrix(r,n,d,p)),T.uniform1i(z.u_rotate_with_map,E),T.uniform1i(z.u_pitch_with_map,L),T.uniform2fv(z.u_extrude_scale,M),T.activeTexture(T.TEXTURE0),T.uniform1i(z.u_texture,0),s){var D=f&&t.glyphSource.getGlyphAtlas(f);if(!D)return;D.updateTexture(T),T.uniform2f(z.u_texsize,D.width/4,D.height/4)}else{var P=t.options.rotating||t.options.zooming,O=1!==I||o.devicePixelRatio!==t.spriteAtlas.pixelRatio||c,R=L||t.transform.pitch;t.spriteAtlas.bind(T,u||P||O||R),T.uniform2f(z.u_texsize,t.spriteAtlas.width/4,t.spriteAtlas.height/4)}var F=Math.log(g/h)/Math.LN2||0;T.uniform1f(z.u_zoom,10*(t.transform.zoom-F)),T.activeTexture(T.TEXTURE1),t.frameHistory.bind(T),T.uniform1i(z.u_fadetexture,1);var j;if(u){var N=.105*C/g/o.devicePixelRatio;if(y){T.uniform1f(z.u_gamma,(1.19*x/I/8+N)*A),T.uniform4fv(z.u_color,b),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,(6-y/I)/8);for(var B=0;B<a.length;B++)j=a[B],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}T.uniform1f(z.u_gamma,N*A),T.uniform4fv(z.u_color,w),T.uniform1f(z.u_opacity,_),T.uniform1f(z.u_buffer,.75),T.uniform1f(z.u_pitch,S.pitch/360*2*Math.PI),T.uniform1f(z.u_bearing,S.bearing/360*2*Math.PI),T.uniform1f(z.u_aspect_ratio,S.width/S.height);for(var U=0;U<a.length;U++)j=a[U],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}else{T.uniform1f(z.u_opacity,_);for(var V=0;V<a.length;V++)j=a[V],j.vaos[e.id].bind(T,z,j.layoutVertexBuffer,j.elementBuffer),T.drawElements(T.TRIANGLES,3*j.elementBuffer.length,T.UNSIGNED_SHORT,0)}}}var o=t("../util/browser"),s=t("./draw_collision_debug"),l=t("../source/pixels_to_tile_units");e.exports=n},{"../source/pixels_to_tile_units":363,"../util/browser":426,"./draw_collision_debug":347}],353:[function(t,e,r){"use strict";function n(){this.changeTimes=new Float64Array(256),this.changeOpacities=new Uint8Array(256),this.opacities=new Uint8ClampedArray(256),this.array=new Uint8Array(this.opacities.buffer),this.fadeDuration=300,this.previousZoom=0,this.firstFrame=!0}e.exports=n,n.prototype.record=function(t){var e=Date.now();this.firstFrame&&(e=0,this.firstFrame=!1),t=Math.floor(10*t);var r;if(t<this.previousZoom)for(r=t+1;r<=this.previousZoom;r++)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];else for(r=t;r>this.previousZoom;r--)this.changeTimes[r]=e,this.changeOpacities[r]=this.opacities[r];for(r=0;r<256;r++){var n=e-this.changeTimes[r],i=n/this.fadeDuration*255;this.opacities[r]=r<=t?this.changeOpacities[r]+i:this.changeOpacities[r]-i}this.changed=!0,this.previousZoom=t},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.changed&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,256,1,t.ALPHA,t.UNSIGNED_BYTE,this.array),this.changed=!1)):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,256,1,0,t.ALPHA,t.UNSIGNED_BYTE,this.array))}},{}],354:[function(t,e,r){"use strict";function n(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}}var i=t("../util/util");e.exports=n,n.prototype.setSprite=function(t){this.sprite=t},n.prototype.getDash=function(t,e){var r=t.join(",")+e;return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},n.prototype.addDash=function(t,e){var r=e?7:0,n=2*r+1;if(this.nextRow+n>this.height)return i.warnOnce("LineAtlas out of space"),null;for(var a=0,o=0;o<t.length;o++)a+=t[o];for(var s=this.width/a,l=s/2,u=t.length%2==1,c=-r;c<=r;c++)for(var h=this.nextRow+r+c,f=this.width*h,d=u?-t[t.length-1]:0,p=t[0],m=1,v=0;v<this.width;v++){for(;p<v/s;)d=p,p+=t[m],u&&m===t.length-1&&(p+=t[0]),m++;var g,y=Math.abs(v-d*s),b=Math.abs(v-p*s),x=Math.min(y,b),_=m%2==1;if(e){var w=r?c/r*(l+1):0;if(_){var M=l-Math.abs(w);g=Math.sqrt(x*x+M*M)}else g=l-Math.sqrt(x*x+w*w)}else g=(_?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,g+128))}var k={y:(this.nextRow+r+.5)/this.height,height:2*r/this.height,width:a};return this.nextRow+=n,this.dirty=!0,k},n.prototype.bind=function(t){this.texture?(t.bindTexture(t.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.RGBA,t.UNSIGNED_BYTE,this.data))):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.REPEAT),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width,this.height,0,t.RGBA,t.UNSIGNED_BYTE,this.data))}},{"../util/util":442}],355:[function(t,e,r){"use strict";function n(t,e){this.gl=t,this.transform=e,this.reusableTextures={},this.preFbos={},this.frameHistory=new o,this.setup(),this.numSublayers=s.maxUnderzooming+s.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.lineWidthRange=t.getParameter(t.ALIASED_LINE_WIDTH_RANGE)}var i=t("../util/browser"),a=t("gl-matrix").mat4,o=t("./frame_history"),s=t("../source/source_cache"),l=t("../data/bucket").EXTENT,u=t("../source/pixels_to_tile_units"),c=t("../util/util"),h=t("../util/struct_array"),f=t("../data/buffer"),d=t("./vertex_array_object"),p=t("./draw_raster").RasterBoundsArray,m=t("./create_uniform_pragmas");e.exports=n,c.extend(n.prototype,t("./painter/use_program")),n.prototype.resize=function(t,e){var r=this.gl;this.width=t*i.devicePixelRatio,this.height=e*i.devicePixelRatio,r.viewport(0,0,this.width,this.height)},n.prototype.setup=function(){var t=this.gl;t.verbose=!0,t.enable(t.BLEND),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),t.enable(t.STENCIL_TEST),t.enable(t.DEPTH_TEST),t.depthFunc(t.LEQUAL),this._depthMask=!1,t.depthMask(!1);var e=this.PosArray=new h({members:[{name:"a_pos",type:"Int16",components:2}]}),r=new e;r.emplaceBack(0,0),r.emplaceBack(l,0),r.emplaceBack(0,l),r.emplaceBack(l,l),this.tileExtentBuffer=new f(r.serialize(),e.serialize(),f.BufferType.VERTEX),this.tileExtentVAO=new d,this.tileExtentPatternVAO=new d;var n=new e;n.emplaceBack(0,0),n.emplaceBack(l,0),n.emplaceBack(l,l),n.emplaceBack(0,l),n.emplaceBack(0,0),this.debugBuffer=new f(n.serialize(),e.serialize(),f.BufferType.VERTEX),this.debugVAO=new d;var i=new p;i.emplaceBack(0,0,0,0),i.emplaceBack(l,0,32767,0),i.emplaceBack(0,l,0,32767),i.emplaceBack(l,l,32767,32767),this.rasterBoundsBuffer=new f(i.serialize(),p.serialize(),f.BufferType.VERTEX),this.rasterBoundsVAO=new d},n.prototype.clearColor=function(){var t=this.gl;t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},n.prototype.clearStencil=function(){var t=this.gl;t.clearStencil(0),t.stencilMask(255),t.clear(t.STENCIL_BUFFER_BIT)},n.prototype.clearDepth=function(){var t=this.gl;t.clearDepth(1),this.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},n.prototype._renderTileClippingMasks=function(t){var e=this.gl;e.colorMask(!1,!1,!1,!1),this.depthMask(!1),e.disable(e.DEPTH_TEST),e.enable(e.STENCIL_TEST),e.stencilMask(248),e.stencilOp(e.KEEP,e.KEEP,e.REPLACE);var r=1;this._tileClippingMaskIDs={};for(var n=0;n<t.length;n++){var i=t[n],a=this._tileClippingMaskIDs[i.id]=r++<<3;e.stencilFunc(e.ALWAYS,a,248);var o=m([{name:"u_color",components:4},{name:"u_opacity",components:1}]),s=this.useProgram("fill",[],o,o);e.uniformMatrix4fv(s.u_matrix,!1,i.posMatrix),this.tileExtentVAO.bind(e,s,this.tileExtentBuffer),e.drawArrays(e.TRIANGLE_STRIP,0,this.tileExtentBuffer.length)}e.stencilMask(0),e.colorMask(!0,!0,!0,!0),this.depthMask(!0),e.enable(e.DEPTH_TEST)},n.prototype.enableTileClippingMask=function(t){var e=this.gl;e.stencilFunc(e.EQUAL,this._tileClippingMaskIDs[t.id],248)},n.prototype.prepareBuffers=function(){},n.prototype.bindDefaultFramebuffer=function(){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,null)};var v={symbol:t("./draw_symbol"),circle:t("./draw_circle"),line:t("./draw_line"),fill:t("./draw_fill"),raster:t("./draw_raster"),background:t("./draw_background"),debug:t("./draw_debug")};n.prototype.render=function(t,e){this.style=t,this.options=e,this.lineAtlas=t.lineAtlas,this.spriteAtlas=t.spriteAtlas,this.spriteAtlas.setSprite(t.sprite),this.glyphSource=t.glyphSource,this.frameHistory.record(this.transform.zoom),this.prepareBuffers(),this.clearColor(),this.clearDepth(),this.showOverdrawInspector(e.showOverdrawInspector),this.depthRange=(t._order.length+2)*this.numSublayers*this.depthEpsilon,this.renderPass({isOpaquePass:!0}),this.renderPass({isOpaquePass:!1})},n.prototype.renderPass=function(t){var e=this.style._groups,r=t.isOpaquePass;this.currentLayer=r?this.style._order.length:-1;for(var n=0;n<e.length;n++){var i,a=e[r?e.length-1-n:n],o=this.style.sources[a.source],s=[];if(o){for(s=o.getVisibleCoordinates(),i=0;i<s.length;i++)s[i].posMatrix=this.transform.calculatePosMatrix(s[i],o.maxzoom);this.clearStencil(),o.prepare&&o.prepare(),o.isTileClipped&&this._renderTileClippingMasks(s)}for(r?(this._showOverdrawInspector||this.gl.disable(this.gl.BLEND),this.isOpaquePass=!0):(this.gl.enable(this.gl.BLEND),this.isOpaquePass=!1,s.reverse()),i=0;i<a.length;i++){var l=a[r?a.length-1-i:i];this.currentLayer+=r?-1:1,this.renderLayer(this,o,l,s)}o&&v.debug(this,o,s)}},n.prototype.depthMask=function(t){t!==this._depthMask&&(this._depthMask=t,this.gl.depthMask(t))},n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||n.length)&&(this.id=r.id,v[r.type](t,e,r,n))},n.prototype.setDepthSublayer=function(t){var e=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon,r=e-1+this.depthRange;this.gl.depthRange(r,e)},n.prototype.translatePosMatrix=function(t,e,r,n){if(!r[0]&&!r[1])return t;if("viewport"===n){var i=Math.sin(-this.transform.angle),o=Math.cos(-this.transform.angle);r=[r[0]*o-r[1]*i,r[0]*i+r[1]*o]}var s=[u(e,r[0],this.transform.zoom),u(e,r[1],this.transform.zoom),0],l=new Float32Array(16);return a.translate(l,t,s),l},n.prototype.saveTexture=function(t){var e=this.reusableTextures[t.size];e?e.push(t):this.reusableTextures[t.size]=[t]},n.prototype.getTexture=function(t){var e=this.reusableTextures[t];return e&&e.length>0?e.pop():null},n.prototype.lineWidth=function(t){this.gl.lineWidth(c.clamp(t,this.lineWidthRange[0],this.lineWidthRange[1]))},n.prototype.showOverdrawInspector=function(t){if(t||this._showOverdrawInspector){this._showOverdrawInspector=t;var e=this.gl;if(t){e.blendFunc(e.CONSTANT_COLOR,e.ONE);e.blendColor(1/8,1/8,1/8,0),e.clearColor(0,0,0,1),e.clear(e.COLOR_BUFFER_BIT)}else e.blendFunc(e.ONE,e.ONE_MINUS_SRC_ALPHA)}}},{"../data/bucket":329,"../data/buffer":334,"../source/pixels_to_tile_units":363,"../source/source_cache":367,"../util/browser":426,"../util/struct_array":440,"../util/util":442,"./create_uniform_pragmas":344,"./draw_background":345,"./draw_circle":346,"./draw_debug":348,"./draw_fill":349,"./draw_line":350,"./draw_raster":351,"./draw_symbol":352,"./frame_history":353,"./painter/use_program":356,"./vertex_array_object":357,"gl-matrix":193}],356:[function(t,e,r){"use strict";function n(t,e){return t.replace(/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,function(t,r,n,i,a){return e[r][a].replace(/{type}/g,i).replace(/{precision}/g,n)})}var i=t("assert"),a=t("../../util/util"),o=t("mapbox-gl-shaders"),s=o.util;e.exports._createProgram=function(t,e,r,l){for(var u=this.gl,c=u.createProgram(),h=o[t],f="#define MAPBOX_GL_JS;\n",d=0;d<e.length;d++)f+="#define "+e[d]+";\n";var p=u.createShader(u.FRAGMENT_SHADER);u.shaderSource(p,n(f+h.fragmentSource,l)),u.compileShader(p),i(u.getShaderParameter(p,u.COMPILE_STATUS),u.getShaderInfoLog(p)),u.attachShader(c,p);var m=u.createShader(u.VERTEX_SHADER);u.shaderSource(m,n(f+s+h.vertexSource,r)),u.compileShader(m),i(u.getShaderParameter(m,u.COMPILE_STATUS),u.getShaderInfoLog(m)),u.attachShader(c,m),u.linkProgram(c),i(u.getProgramParameter(c,u.LINK_STATUS),u.getProgramInfoLog(c));for(var v={},g=u.getProgramParameter(c,u.ACTIVE_ATTRIBUTES),y=0;y<g;y++){var b=u.getActiveAttrib(c,y);v[b.name]=u.getAttribLocation(c,b.name)}for(var x={},_=u.getProgramParameter(c,u.ACTIVE_UNIFORMS),w=0;w<_;w++){var M=u.getActiveUniform(c,w);x[M.name]=u.getUniformLocation(c,M.name)}return a.extend({program:c,definition:h,attributes:v,numAttributes:g},v,x)},e.exports._createProgramCached=function(t,e,r,n){this.cache=this.cache||{};var i=JSON.stringify({name:t,defines:e,vertexPragmas:r,fragmentPragmas:n});return this.cache[i]||(this.cache[i]=this._createProgram(t,e,r,n)),this.cache[i]},e.exports.useProgram=function(t,e,r,n){var i=this.gl;e=e||[],this._showOverdrawInspector&&(e=e.concat("OVERDRAW_INSPECTOR"));var a=this._createProgramCached(t,e,r,n);return this.currentProgram!==a&&(i.useProgram(a.program),this.currentProgram=a),a}},{"../../util/util":442,assert:47,"mapbox-gl-shaders":303}],357:[function(t,e,r){"use strict";function n(){this.boundProgram=null,this.boundVertexBuffer=null,this.boundVertexBuffer2=null,this.boundElementBuffer=null,this.vao=null}var i=t("assert");e.exports=n,n.prototype.bind=function(t,e,r,n,i){void 0===t.extVertexArrayObject&&(t.extVertexArrayObject=t.getExtension("OES_vertex_array_object"));var a=!this.vao||this.boundProgram!==e||this.boundVertexBuffer!==r||this.boundVertexBuffer2!==i||this.boundElementBuffer!==n;!t.extVertexArrayObject||a?this.freshBind(t,e,r,n,i):t.extVertexArrayObject.bindVertexArrayOES(this.vao)},n.prototype.freshBind=function(t,e,r,n,a){var o,s=e.numAttributes;if(t.extVertexArrayObject)this.vao&&this.destroy(t),this.vao=t.extVertexArrayObject.createVertexArrayOES(),t.extVertexArrayObject.bindVertexArrayOES(this.vao),o=0,this.boundProgram=e,this.boundVertexBuffer=r,this.boundVertexBuffer2=a,this.boundElementBuffer=n;else{o=t.currentNumAttributes||0;for(var l=s;l<o;l++)i(0!==l),t.disableVertexAttribArray(l)}for(var u=o;u<s;u++)t.enableVertexAttribArray(u);r.bind(t),r.setVertexAttribPointers(t,e),a&&(a.bind(t),a.setVertexAttribPointers(t,e)),n&&n.bind(t),t.currentNumAttributes=s},n.prototype.unbind=function(t){var e=t.extVertexArrayObject;e&&e.bindVertexArrayOES(null)},n.prototype.destroy=function(t){var e=t.extVertexArrayObject;e&&this.vao&&(e.deleteVertexArrayOES(this.vao),this.vao=null)}},{assert:47}],358:[function(t,e,r){"use strict";function n(t,e,r){e=e||{},this.id=t,this.dispatcher=r,this._data=e.data,void 0!==e.maxzoom&&(this.maxzoom=e.maxzoom),e.type&&(this.type=e.type);var n=s/this.tileSize;this.workerOptions=a.extend({source:this.id,cluster:e.cluster||!1,geojsonVtOptions:{buffer:(void 0!==e.buffer?e.buffer:128)*n,tolerance:(void 0!==e.tolerance?e.tolerance:.375)*n,extent:s,maxZoom:this.maxzoom},superclusterOptions:{maxZoom:Math.min(e.clusterMaxZoom,this.maxzoom-1)||this.maxzoom-1,extent:s,radius:(e.clusterRadius||50)*n,log:!1}},e.workerOptions),this._updateWorkerData(function(t){if(t)return void this.fire("error",{error:t});this.fire("load")}.bind(this))}var i=t("../util/evented"),a=t("../util/util"),o=t("resolve-url"),s=t("../data/bucket").EXTENT;e.exports=n,n.prototype=a.inherit(i,{type:"geojson",minzoom:0,maxzoom:18,tileSize:512,isTileClipped:!0,reparseOverscaled:!0,onAdd:function(t){this.map=t},setData:function(t){return this._data=t,this._updateWorkerData(function(t){if(t)return this.fire("error",{error:t});this.fire("change")}.bind(this)),this},_updateWorkerData:function(t){var e=a.extend({},this.workerOptions),r=this._data;"string"==typeof r?e.url="undefined"!=typeof window?o(window.location.href,r):r:e.data=JSON.stringify(r),this.workerID=this.dispatcher.send(this.type+".loadData",e,function(e){this._loaded=!0,t(e)}.bind(this))},loadTile:function(t,e){var r=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,n={type:this.type,uid:t.uid,coord:t.coord,zoom:t.coord.z,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,overscaling:r,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID=this.dispatcher.send("load tile",n,function(r,n){if(t.unloadVectorData(this.map.painter),!t.aborted)return r?e(r):(t.loadVectorData(n,this.map.style),t.redoWhenDone&&(t.redoWhenDone=!1,t.redoPlacement(this)),e(null))}.bind(this),this.workerID)},abortTile:function(t){t.aborted=!0},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send("remove tile",{uid:t.uid,source:this.id},function(){},t.workerID)},serialize:function(){return{type:this.type,data:this._data}}})},{"../data/bucket":329,"../util/evented":434,"../util/util":442,"resolve-url":501}],359:[function(t,e,r){"use strict";function n(t,e,r){r&&(this.loadGeoJSON=r),h.call(this,t,e)}var i=t("../util/util"),a=t("../util/ajax"),o=t("geojson-rewind"),s=t("./geojson_wrapper"),l=t("vt-pbf"),u=t("supercluster"),c=t("geojson-vt"),h=t("./vector_tile_worker_source");e.exports=n,n.prototype=i.inherit(h,{_geoJSONIndexes:{},loadVectorData:function(t,e){var r=t.source,n=t.coord;if(!this._geoJSONIndexes[r])return e(null,null);var i=this._geoJSONIndexes[r].getTile(Math.min(n.z,t.maxZoom),n.x,n.y);if(!i)return e(null,null);var a=new s(i.features);a.name="_geojsonTileLayer";var o=l({layers:{_geojsonTileLayer:a}});0===o.byteOffset&&o.byteLength===o.buffer.byteLength||(o=new Uint8Array(o)),e(null,{tile:a,rawTileData:o.buffer})},loadData:function(t,e){var r=function(r,n){return r?e(r):"object"!=typeof n?e(new Error("Input data is not a valid GeoJSON object.")):(o(n,!0),void this._indexData(n,t,function(r,n){if(r)return e(r);this._geoJSONIndexes[t.source]=n,e(null)}.bind(this)))}.bind(this);this.loadGeoJSON(t,r)},loadGeoJSON:function(t,e){if(t.url)a.getJSON(t.url,e);else{if("string"!=typeof t.data)return e(new Error("Input data is not a valid GeoJSON object."));try{return e(null,JSON.parse(t.data))}catch(t){return e(new Error("Input data is not a valid GeoJSON object."))}}},_indexData:function(t,e,r){try{e.cluster?r(null,u(e.superclusterOptions).load(t.features)):r(null,c(t,e.geojsonVtOptions))}catch(t){return r(t)}}})},{"../util/ajax":425,"../util/util":442,"./geojson_wrapper":360,"./vector_tile_worker_source":371,"geojson-rewind":138,"geojson-vt":142,supercluster:529,"vt-pbf":556}],360:[function(t,e,r){"use strict";function n(t){this.features=t,this.length=t.length,this.extent=s}function i(t){if(this.type=t.type,1===t.type){this.rawGeometry=[];for(var e=0;e<t.geometry.length;e++)this.rawGeometry.push([t.geometry[e]])}else this.rawGeometry=t.geometry;this.properties=t.tags,this.extent=s}var a=t("point-geometry"),o=t("vector-tile").VectorTileFeature,s=t("../data/bucket").EXTENT;e.exports=n,n.prototype.feature=function(t){return new i(this.features[t])},i.prototype.loadGeometry=function(){var t=this.rawGeometry;this.geometry=[];for(var e=0;e<t.length;e++){for(var r=t[e],n=[],i=0;i<r.length;i++)n.push(new a(r[i][0],r[i][1]));this.geometry.push(n)}return this.geometry},i.prototype.bbox=function(){this.geometry||this.loadGeometry();for(var t=this.geometry,e=1/0,r=-1/0,n=1/0,i=-1/0,a=0;a<t.length;a++)for(var o=t[a],s=0;s<o.length;s++){var l=o[s];e=Math.min(e,l.x),r=Math.max(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.y)}return[e,n,r,i]},i.prototype.toGeoJSON=o.prototype.toGeoJSON},{"../data/bucket":329,"point-geometry":484,"vector-tile":550}],361:[function(t,e,r){"use strict";function n(t,e,r){this.id=t,this.dispatcher=r,this.url=e.url,this.coordinates=e.coordinates,u.getImage(e.url,function(t,r){if(t)return this.fire("error",{error:t});this.image=r,this.image.addEventListener("load",function(){this.map._rerender()}.bind(this)),this._loaded=!0,this.fire("load"),this.map&&this.setCoordinates(e.coordinates)}.bind(this))}var i=t("../util/util"),a=t("./tile_coord"),o=t("../geo/lng_lat"),s=t("point-geometry"),l=t("../util/evented"),u=t("../util/ajax"),c=t("../data/bucket").EXTENT,h=t("../render/draw_raster").RasterBoundsArray,f=t("../data/buffer"),d=t("../render/vertex_array_object");e.exports=n,n.prototype=i.inherit(l,{minzoom:0,maxzoom:22,tileSize:512,onAdd:function(t){this.map=t,this.image&&this.setCoordinates(this.coordinates)},setCoordinates:function(t){this.coordinates=t;var e=this.map,r=t.map(function(t){return e.transform.locationCoordinate(o.convert(t)).zoomTo(0)}),n=this.centerCoord=i.getCoordinatesCenter(r);return n.column=Math.round(n.column),n.row=Math.round(n.row),this.minzoom=this.maxzoom=n.zoom,this._coord=new a(n.zoom,n.column,n.row),this._tileCoords=r.map(function(t){var e=t.zoomTo(n.zoom);return new s(Math.round((e.column-n.column)*c),Math.round((e.row-n.row)*c))}),this.fire("change"),this},_setTile:function(t){this._prepared=!1,this.tile=t;var e=new h;e.emplaceBack(this._tileCoords[0].x,this._tileCoords[0].y,0,0),e.emplaceBack(this._tileCoords[1].x,this._tileCoords[1].y,32767,0),e.emplaceBack(this._tileCoords[3].x,this._tileCoords[3].y,0,32767),e.emplaceBack(this._tileCoords[2].x,this._tileCoords[2].y,32767,32767),this.tile.buckets={},this.tile.boundsBuffer=new f(e.serialize(),h.serialize(),f.BufferType.VERTEX),this.tile.boundsVAO=new d,this.tile.state="loaded"},prepare:function(){if(this._loaded&&this.image&&this.image.complete&&this.tile){var t=this.map.painter,e=t.gl;this._prepared?(e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,this.image)):(this.tile.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.tile.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,this.image))}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state="errored",e(null))},serialize:function(){return{type:"image",urls:this.url,coordinates:this.coordinates}}})},{"../data/bucket":329,"../data/buffer":334,"../geo/lng_lat":339,"../render/draw_raster":351,"../render/vertex_array_object":357,"../util/ajax":425,"../util/evented":434,"../util/util":442,"./tile_coord":369,"point-geometry":484}],362:[function(t,e,r){"use strict";var n=t("../util/util"),i=t("../util/ajax"),a=t("../util/browser"),o=t("../util/mapbox").normalizeSourceURL;e.exports=function(t,e){var r=function(t,r){if(t)return e(t);var i=n.pick(r,["tiles","minzoom","maxzoom","attribution"]);r.vector_layers&&(i.vectorLayers=r.vector_layers,i.vectorLayerIds=i.vectorLayers.map(function(t){return t.id})),e(null,i)};t.url?i.getJSON(o(t.url),r):a.frame(r.bind(null,null,t))}},{"../util/ajax":425,"../util/browser":426,"../util/mapbox":439,"../util/util":442}],363:[function(t,e,r){"use strict";var n=t("../data/bucket");e.exports=function(t,e,r){return e*(n.EXTENT/(t.tileSize*Math.pow(2,r-t.coord.z)))}},{"../data/bucket":329}],364:[function(t,e,r){"use strict";function n(t,e){var r=t.coord,n=e.coord;return r.z-n.z||r.y-n.y||r.w-n.w||r.x-n.x}function i(t){for(var e=t[0]||{},r=1;r<t.length;r++){var n=t[r];for(var i in n){var a=n[i],o=e[i];if(void 0===o)o=e[i]=a;else for(var s=0;s<a.length;s++)o.push(a[s])}}return e}var a=t("./tile_coord");r.rendered=function(t,e,r,a,o,s){var l=t.tilesIn(r);l.sort(n);for(var u=[],c=0;c<l.length;c++){var h=l[c];h.tile.featureIndex&&u.push(h.tile.featureIndex.query({queryGeometry:h.queryGeometry,scale:h.scale,tileSize:h.tile.tileSize,bearing:s,params:a},e))}return i(u)},r.source=function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],i={},o=0;o<r.length;o++){var s=r[o],l=new a(Math.min(s.sourceMaxZoom,s.coord.z),s.coord.x,s.coord.y,0).id;i[l]||(i[l]=!0,s.querySourceFeatures(n,e))}return n}},{"./tile_coord":369}],365:[function(t,e,r){"use strict";function n(t,e,r){this.id=t,this.dispatcher=r,i.extend(this,i.pick(e,["url","scheme","tileSize"])),s(e,function(t,e){if(t)return this.fire("error",t);i.extend(this,e),this.fire("load")}.bind(this))}var i=t("../util/util"),a=t("../util/ajax"),o=t("../util/evented"),s=t("./load_tilejson"),l=t("../util/mapbox").normalizeTileURL;e.exports=n,n.prototype=i.inherit(o,{minzoom:0,maxzoom:22,roundZoom:!0,scheme:"xyz",tileSize:512,_loaded:!1,onAdd:function(t){this.map=t},serialize:function(){return{type:"raster",url:this.url,tileSize:this.tileSize}},loadTile:function(t,e){function r(r,n){if(delete t.request,!t.aborted){if(r)return e(r);var i=this.map.painter.gl;t.texture=this.map.painter.getTexture(n.width),t.texture?(i.bindTexture(i.TEXTURE_2D,t.texture),i.texSubImage2D(i.TEXTURE_2D,0,0,0,i.RGBA,i.UNSIGNED_BYTE,n)):(t.texture=i.createTexture(),i.bindTexture(i.TEXTURE_2D,t.texture),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,i.LINEAR_MIPMAP_NEAREST),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,i.LINEAR),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,i.CLAMP_TO_EDGE),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,i.CLAMP_TO_EDGE),i.pixelStorei(i.UNPACK_PREMULTIPLY_ALPHA_WEBGL,!0),i.texImage2D(i.TEXTURE_2D,0,i.RGBA,i.RGBA,i.UNSIGNED_BYTE,n),t.texture.size=n.width),i.generateMipmap(i.TEXTURE_2D),this.map.animationLoop.set(this.map.style.rasterFadeDuration),t.state="loaded",e(null)}}var n=l(t.coord.url(this.tiles,null,this.scheme),this.url,this.tileSize);t.request=a.getImage(n,r.bind(this))},abortTile:function(t){t.request&&(t.request.abort(),delete t.request)},unloadTile:function(t){t.texture&&this.map.painter.saveTexture(t.texture)}})},{"../util/ajax":425,"../util/evented":434,"../util/mapbox":439,"../util/util":442,"./load_tilejson":362}],366:[function(t,e,r){"use strict";var n=t("../util/util"),i={vector:t("../source/vector_tile_source"),raster:t("../source/raster_tile_source"),geojson:t("../source/geojson_source"),video:t("../source/video_source"),image:t("../source/image_source")};r.create=function(t,e,r){if(e=new i[e.type](t,e,r),e.id!==t)throw new Error("Expected Source id to be "+t+" instead of "+e.id);return n.bindAll(["load","abort","unload","serialize","prepare"],e),e},r.getType=function(t){return i[t]},r.setType=function(t,e){i[t]=e}},{"../source/geojson_source":358,"../source/image_source":361,"../source/raster_tile_source":365,"../source/vector_tile_source":370,"../source/video_source":372,"../util/util":442}],367:[function(t,e,r){"use strict";function n(t,e,r){this.id=t,this.dispatcher=r;var n=this._source=o.create(t,e,r).on("load",function(){this.map&&this._source.onAdd&&this._source.onAdd(this.map),this._sourceLoaded=!0,this.tileSize=n.tileSize,this.minzoom=n.minzoom,this.maxzoom=n.maxzoom,this.roundZoom=n.roundZoom,this.reparseOverscaled=n.reparseOverscaled,this.isTileClipped=n.isTileClipped,this.attribution=n.attribution,this.vectorLayerIds=n.vectorLayerIds,this.fire("load")}.bind(this)).on("error",function(t){this._sourceErrored=!0,this.fire("error",t)}.bind(this)).on("change",function(){this.reload(),this.transform&&this.update(this.transform,this.map&&this.map.style.rasterFadeDuration),this.fire("change")}.bind(this));this._tiles={},this._cache=new c(0,this.unloadTile.bind(this)),this._isIdRenderable=this._isIdRenderable.bind(this)}function i(t,e,r){var n=r.zoomTo(Math.min(t.z,e));return{x:(n.column-(t.x+t.w*Math.pow(2,t.z)))*d,y:(n.row-t.y)*d}}function a(t,e){return t%32-e%32}var o=t("./source"),s=t("./tile"),l=t("../util/evented"),u=t("./tile_coord"),c=t("../util/lru_cache"),h=t("../geo/coordinate"),f=t("../util/util"),d=t("../data/bucket").EXTENT;e.exports=n,n.maxOverzooming=10,n.maxUnderzooming=3,n.prototype=f.inherit(l,{onAdd:function(t){this.map=t,this._source&&this._source.onAdd&&this._source.onAdd(t)},loaded:function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},getSource:function(){return this._source},loadTile:function(t,e){return this._source.loadTile(t,e)},unloadTile:function(t){if(this._source.unloadTile)return this._source.unloadTile(t)},abortTile:function(t){if(this._source.abortTile)return this._source.abortTile(t)},serialize:function(){return this._source.serialize()},prepare:function(){if(this._sourceLoaded&&this._source.prepare)return this._source.prepare()},getIds:function(){return Object.keys(this._tiles).map(Number).sort(a)},getRenderableIds:function(){return this.getIds().filter(this._isIdRenderable)},_isIdRenderable:function(t){return this._tiles[t].isRenderable()&&!this._coveredTiles[t]},reload:function(){this._cache.reset();for(var t in this._tiles){var e=this._tiles[t];"loading"!==e.state&&(e.state="reloading"),this.loadTile(this._tiles[t],this._tileLoaded.bind(this,this._tiles[t]))}},_tileLoaded:function(t,e){if(e)return t.state="errored",this.fire("tile.error",{tile:t,error:e}),void this._source.fire("tile.error",{tile:t,error:e});t.source=this,t.timeAdded=(new Date).getTime(),this.fire("tile.load",{tile:t}),this._source.fire("tile.load",{tile:t})},getTile:function(t){return this.getTileByID(t.id)},getTileByID:function(t){return this._tiles[t]},getZoom:function(t){return t.zoom+t.scaleZoom(t.tileSize/this.tileSize)},findLoadedChildren:function(t,e,r){var n=!1;for(var i in this._tiles){var a=this._tiles[i];if(!(r[i]||!a.isRenderable()||a.coord.z<=t.z||a.coord.z>e)){var o=Math.pow(2,Math.min(a.coord.z,this.maxzoom)-Math.min(t.z,this.maxzoom));if(Math.floor(a.coord.x/o)===t.x&&Math.floor(a.coord.y/o)===t.y)for(r[i]=!0,n=!0;a&&a.coord.z-1>t.z;){var s=a.coord.parent(this.maxzoom).id;a=this._tiles[s],a&&a.isRenderable()&&(delete r[i],r[s]=!0)}}}return n},findLoadedParent:function(t,e,r){for(var n=t.z-1;n>=e;n--){t=t.parent(this.maxzoom);var i=this._tiles[t.id];if(i&&i.isRenderable())return r[t.id]=!0,i;if(this._cache.has(t.id))return this.addTile(t),r[t.id]=!0,this._tiles[t.id]}},updateCacheSize:function(t){var e=Math.ceil(t.width/t.tileSize)+1,r=Math.ceil(t.height/t.tileSize)+1,n=e*r;this._cache.setMaxSize(Math.floor(5*n))},update:function(t,e){if(this._sourceLoaded){var r,i,a;this.updateCacheSize(t);var o=(this.roundZoom?Math.round:Math.floor)(this.getZoom(t)),s=Math.max(o-n.maxOverzooming,this.minzoom),l=Math.max(o+n.maxUnderzooming,this.minzoom),c={},h=(new Date).getTime();this._coveredTiles={};var d=this.used?t.coveringTiles(this._source):[];for(r=0;r<d.length;r++)i=d[r],a=this.addTile(i),c[i.id]=!0,a.isRenderable()||this.findLoadedChildren(i,l,c)||this.findLoadedParent(i,s,c);for(var p={},m=Object.keys(c),v=0;v<m.length;v++){var g=m[v];i=u.fromID(g),a=this._tiles[g],a&&a.timeAdded>h-(e||0)&&(this.findLoadedChildren(i,l,c)&&(c[g]=!0),this.findLoadedParent(i,s,p))}var y;for(y in p)c[y]||(this._coveredTiles[y]=!0);for(y in p)c[y]=!0;var b=f.keysDifference(this._tiles,c);for(r=0;r<b.length;r++)this.removeTile(+b[r]);this.transform=t}},addTile:function(t){var e=this._tiles[t.id];if(e)return e;var r=t.wrapped() -;if(e=this._tiles[r.id],e||(e=this._cache.get(r.id))&&this._redoPlacement&&this._redoPlacement(e),!e){var n=t.z,i=n>this.maxzoom?Math.pow(2,n-this.maxzoom):1;e=new s(r,this.tileSize*i,this.maxzoom),this.loadTile(e,this._tileLoaded.bind(this,e))}return e.uses++,this._tiles[t.id]=e,this.fire("tile.add",{tile:e}),this._source.fire("tile.add",{tile:e}),e},removeTile:function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this.fire("tile.remove",{tile:e}),this._source.fire("tile.remove",{tile:e}),e.uses>0||(e.isRenderable()?this._cache.add(e.coord.wrapped().id,e):(e.aborted=!0,this.abortTile(e),this.unloadTile(e))))},clearTiles:function(){for(var t in this._tiles)this.removeTile(t);this._cache.reset()},tilesIn:function(t){for(var e={},r=this.getIds(),n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0].zoom,c=0;c<t.length;c++){var f=t[c];n=Math.min(n,f.column),a=Math.min(a,f.row),o=Math.max(o,f.column),s=Math.max(s,f.row)}for(var p=0;p<r.length;p++){var m=this._tiles[r[p]],v=u.fromID(r[p]),g=[i(v,m.sourceMaxZoom,new h(n,a,l)),i(v,m.sourceMaxZoom,new h(o,s,l))];if(g[0].x<d&&g[0].y<d&&g[1].x>=0&&g[1].y>=0){for(var y=[],b=0;b<t.length;b++)y.push(i(v,m.sourceMaxZoom,t[b]));var x=e[m.coord.id];void 0===x&&(x=e[m.coord.id]={tile:m,coord:v,queryGeometry:[],scale:Math.pow(2,this.transform.zoom-m.coord.z)}),x.queryGeometry.push(y)}}var _=[];for(var w in e)_.push(e[w]);return _},redoPlacement:function(){for(var t=this.getIds(),e=0;e<t.length;e++){this.getTileByID(t[e]).redoPlacement(this)}},getVisibleCoordinates:function(){return this.getRenderableIds().map(u.fromID)}})},{"../data/bucket":329,"../geo/coordinate":338,"../util/evented":434,"../util/lru_cache":438,"../util/util":442,"./source":366,"./tile":368,"./tile_coord":369}],368:[function(t,e,r){"use strict";function n(t,e,r){this.coord=t,this.uid=a.uniqueId(),this.uses=0,this.tileSize=e,this.sourceMaxZoom=r,this.buckets={},this.state="loading"}function i(t,e){if(e){for(var r={},n=0;n<t.length;n++){var i=e.getLayer(t[n].layerId);if(i){var s=o.create(a.extend({layer:i,childLayers:t[n].childLayerIds.map(e.getLayer.bind(e)).filter(function(t){return t})},t[n]));r[s.id]=s}}return r}}var a=t("../util/util"),o=t("../data/bucket"),s=t("../data/feature_index"),l=t("vector-tile"),u=t("pbf"),c=t("../util/vectortile_to_geojson"),h=t("feature-filter"),f=t("../symbol/collision_tile"),d=t("../symbol/collision_box"),p=t("../symbol/symbol_instances"),m=t("../symbol/symbol_quads");e.exports=n,n.prototype={loadVectorData:function(t,e){this.state="loaded",t&&(this.collisionBoxArray=new d(t.collisionBoxArray),this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.symbolInstancesArray=new p(t.symbolInstancesArray),this.symbolQuadsArray=new m(t.symbolQuadsArray),this.featureIndex=new s(t.featureIndex,t.rawTileData,this.collisionTile),this.rawTileData=t.rawTileData,this.buckets=i(t.buckets,e))},reloadSymbolData:function(t,e,r){if("unloaded"!==this.state){this.collisionTile=new f(t.collisionTile,this.collisionBoxArray),this.featureIndex.setCollisionTile(this.collisionTile);for(var n in this.buckets){var o=this.buckets[n];"symbol"===o.type&&(o.destroy(e.gl),delete this.buckets[n])}a.extend(this.buckets,i(t.buckets,r))}},unloadVectorData:function(t){for(var e in this.buckets){this.buckets[e].destroy(t.gl)}this.collisionBoxArray=null,this.symbolQuadsArray=null,this.symbolInstancesArray=null,this.collisionTile=null,this.featureIndex=null,this.rawTileData=null,this.buckets=null,this.state="unloaded"},redoPlacement:function(t){function e(e,r){this.reloadSymbolData(r,t.map.painter,t.map.style),t.fire("tile.load",{tile:this}),this.state="loaded",this.redoWhenDone&&(this.redoPlacement(t),this.redoWhenDone=!1)}if("loaded"!==this.state||"reloading"===this.state)return void(this.redoWhenDone=!0);this.state="reloading",t.dispatcher.send("redo placement",{uid:this.uid,source:t.id,angle:t.map.transform.angle,pitch:t.map.transform.pitch,showCollisionBoxes:t.map.showCollisionBoxes},e.bind(this),this.workerID)},getBucket:function(t){return this.buckets&&this.buckets[t.ref||t.id]},querySourceFeatures:function(t,e){if(this.rawTileData){this.vtLayers||(this.vtLayers=new l.VectorTile(new u(new Uint8Array(this.rawTileData))).layers);var r=this.vtLayers._geojsonTileLayer||this.vtLayers[e.sourceLayer];if(r)for(var n=h(e.filter),i={z:this.coord.z,x:this.coord.x,y:this.coord.y},a=0;a<r.length;a++){var o=r.feature(a);if(n(o)){var s=new c(o,this.coord.z,this.coord.x,this.coord.y);s.tile=i,t.push(s)}}}},isRenderable:function(){return"loaded"===this.state||"reloading"===this.state}}},{"../data/bucket":329,"../data/feature_index":336,"../symbol/collision_box":394,"../symbol/collision_tile":396,"../symbol/symbol_instances":405,"../symbol/symbol_quads":406,"../util/util":442,"../util/vectortile_to_geojson":443,"feature-filter":132,pbf:478,"vector-tile":550}],369:[function(t,e,r){"use strict";function n(t,e,r,n){l(!isNaN(t)&&t>=0&&t%1==0),l(!isNaN(e)&&e>=0&&e%1==0),l(!isNaN(r)&&r>=0&&r%1==0),isNaN(n)&&(n=0),this.z=+t,this.x=+e,this.y=+r,this.w=+n,(n*=2)<0&&(n=-1*n-1);var i=1<<this.z;this.id=32*(i*i*n+i*this.y+this.x)+this.z,this.posMatrix=null}function i(t,e,r){for(var n,i="",a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}function a(t,e){if(t.row>e.row){var r=t;t=e,e=r}return{x0:t.column,y0:t.row,x1:e.column,y1:e.row,dx:e.column-t.column,dy:e.row-t.row}}function o(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,u=e.dx/e.dy,c=t.dx>0,h=e.dx<0,f=a;f<o;f++){var d=l*Math.max(0,Math.min(t.dy,f+c-t.y0))+t.x0,p=u*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(p),Math.ceil(d),f)}}function s(t,e,r,n,i,s){var l,u=a(t,e),c=a(e,r),h=a(r,t);u.dy>c.dy&&(l=u,u=c,c=l),u.dy>h.dy&&(l=u,u=h,h=l),c.dy>h.dy&&(l=c,c=h,h=l),u.dy&&o(h,u,n,i,s),c.dy&&o(h,c,n,i,s)}var l=t("assert"),u=t("whoots-js"),c=t("../geo/coordinate");e.exports=n,n.prototype.toString=function(){return this.z+"/"+this.x+"/"+this.y},n.prototype.toCoordinate=function(t){var e=Math.min(this.z,t),r=Math.pow(2,e),n=this.y,i=this.x+r*this.w;return new c(i,n,e)},n.fromID=function(t){var e=t%32,r=1<<e,i=(t-e)/32,a=i%r,o=(i-a)/r%r,s=Math.floor(i/(r*r));return s%2!=0&&(s=-1*s-1),s/=2,new n(e,a,o,s)},n.prototype.url=function(t,e,r){var n=u.getTileBBox(this.x,this.y,this.z),a=i(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",Math.min(this.z,e||this.z)).replace("{x}",this.x).replace("{y}","tms"===r?Math.pow(2,this.z)-this.y-1:this.y).replace("{quadkey}",a).replace("{bbox-epsg-3857}",n)},n.prototype.parent=function(t){return 0===this.z?null:this.z>t?new n(this.z-1,this.x,this.y,this.w):new n(this.z-1,Math.floor(this.x/2),Math.floor(this.y/2),this.w)},n.prototype.wrapped=function(){return new n(this.z,this.x,this.y,0)},n.prototype.children=function(t){if(this.z>=t)return[new n(this.z+1,this.x,this.y,this.w)];var e=this.z+1,r=2*this.x,i=2*this.y;return[new n(e,r,i,this.w),new n(e,r+1,i,this.w),new n(e,r,i+1,this.w),new n(e,r+1,i+1,this.w)]},n.cover=function(t,e,r){function i(t,e,i){var s,l,u;if(i>=0&&i<=a)for(s=t;s<e;s++)l=(s%a+a)%a,u=new n(r,l,i,Math.floor(s/a)),o[u.id]=u}var a=1<<t,o={};return s(e[0],e[1],e[2],0,a,i),s(e[2],e[3],e[0],0,a,i),Object.keys(o).map(function(t){return o[t]})}},{"../geo/coordinate":338,assert:47,"whoots-js":566}],370:[function(t,e,r){"use strict";function n(t,e,r){if(this.id=t,this.dispatcher=r,a.extend(this,a.pick(e,["url","scheme","tileSize"])),this._options=a.extend({type:"vector"},e),512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");o(e,function(t,e){if(t)return void 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n=t.coord.z>this.maxzoom?Math.pow(2,t.coord.z-this.maxzoom):1,i={url:s(t.coord.url(this.tiles,this.maxzoom,this.scheme),this.url),uid:t.uid,coord:t.coord,zoom:t.coord.z,tileSize:this.tileSize*n,source:this.id,overscaling:n,angle:this.map.transform.angle,pitch:this.map.transform.pitch,showCollisionBoxes:this.map.showCollisionBoxes};t.workerID?"loading"===t.state?t.reloadCallback=e:(i.rawTileData=t.rawTileData,this.dispatcher.send("reload tile",i,r.bind(this),t.workerID)):t.workerID=this.dispatcher.send("load tile",i,r.bind(this))},abortTile:function(t){this.dispatcher.send("abort tile",{uid:t.uid,source:this.id},null,t.workerID)},unloadTile:function(t){t.unloadVectorData(this.map.painter),this.dispatcher.send("remove tile",{uid:t.uid,source:this.id},null,t.workerID)}})},{"../util/evented":434,"../util/mapbox":439,"../util/util":442,"./load_tilejson":362}],371:[function(t,e,r){"use strict";function n(t,e,r){this.actor=t,this.styleLayers=e,r&&(this.loadVectorData=r),this.loading={},this.loaded={}}var i=t("../util/ajax"),a=t("vector-tile"),o=t("pbf"),s=t("./worker_tile");e.exports=n,n.prototype={loadTile:function(t,e){function r(t,r){return delete this.loading[n][i],t?e(t):r?(a.data=r.tile,a.parse(a.data,this.styleLayers.getLayerFamilies(),this.actor,r.rawTileData,e),this.loaded[n]=this.loaded[n]||{},void(this.loaded[n][i]=a)):e(null,null)}var n=t.source,i=t.uid;this.loading[n]||(this.loading[n]={});var a=this.loading[n][i]=new s(t);a.abort=this.loadVectorData(t,r.bind(this))},reloadTile:function(t,e){var r=this.loaded[t.source],n=t.uid;if(r&&r[n]){var i=r[n];i.parse(i.data,this.styleLayers.getLayerFamilies(),this.actor,t.rawTileData,e)}},abortTile:function(t){var e=this.loading[t.source],r=t.uid;e&&e[r]&&e[r].abort&&(e[r].abort(),delete e[r])},removeTile:function(t){var e=this.loaded[t.source],r=t.uid;e&&e[r]&&delete e[r]},loadVectorData:function(t,e){function r(t,r){if(t)return 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t=this.map.painter.gl;this._prepared?(t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texSubImage2D(t.TEXTURE_2D,0,0,0,t.RGBA,t.UNSIGNED_BYTE,this.video)):(this._prepared=!0,this.tile.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.tile.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,this.video)),this._currentTime=this.video.currentTime}},loadTile:function(t,e){this._coord&&this._coord.toString()===t.coord.toString()?(this._setTile(t),e(null)):(t.state="errored",e(null))},serialize:function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}}})},{"../data/bucket":329,"../data/buffer":334,"../geo/lng_lat":339,"../render/draw_raster":351,"../render/vertex_array_object":357,"../util/ajax":425,"../util/evented":434,"../util/util":442,"./tile_coord":369,"point-geometry":484}],373:[function(t,e,r){"use 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r=this,n=[],a=0;a<t.length;a++){var s=t[a];"fill"!==s.type&&"line"!==s.type&&"circle"!==s.type&&"symbol"!==s.type||(s.ref?n.push(a):e(s))}for(var l=0;l<n.length;l++)e(t[n[l]]);this.layerFamilies=i(this.layers)},"update layers":function(t){function e(t){var e=a.layers[t.ref];a.layers[t.id]?a.layers[t.id].set(t,e):a.layers[t.id]=o.create(t,e),a.layers[t.id].updatePaintTransitions({},{transition:!1})}var r,n,a=this;for(r in t)n=t[r],n.ref&&e(n);for(r in t)n=t[r],n.ref||e(n);this.layerFamilies=i(this.layers)},"load tile":function(t,e){var r=t.type||"vector";this.workerSources[r].loadTile(t,e)},"reload tile":function(t,e){var r=t.type||"vector";this.workerSources[r].reloadTile(t,e)},"abort tile":function(t){var e=t.type||"vector";this.workerSources[e].abortTile(t)},"remove tile":function(t){var e=t.type||"vector";this.workerSources[e].removeTile(t)},"redo placement":function(t,e){var r=t.type||"vector";this.workerSources[r].redoPlacement(t,e)},"load worker source":function(t,e){try{this.self.importScripts(t.url),e()}catch(t){e(t)}}})},{"../style/style_layer":381,"../util/actor":424,"../util/util":442,"./geojson_worker_source":359,"./vector_tile_worker_source":371}],374:[function(t,e,r){"use strict";function n(t){this.coord=t.coord,this.uid=t.uid,this.zoom=t.zoom,this.tileSize=t.tileSize,this.source=t.source,this.overscaling=t.overscaling,this.angle=t.angle,this.pitch=t.pitch,this.showCollisionBoxes=t.showCollisionBoxes}function i(t){return!t.isEmpty()}function a(t){return t.serialize()}function o(t){var e=[];for(var r in t)t[r].getTransferables(e);return e}function s(t){return t.id}var l=t("../data/feature_index"),u=t("../symbol/collision_tile"),c=t("../data/bucket"),h=t("../symbol/collision_box"),f=t("../util/dictionary_coder"),d=t("../util/util"),p=t("../symbol/symbol_instances"),m=t("../symbol/symbol_quads");e.exports=n,n.prototype.parse=function(t,e,r,n,v){function g(t,e){for(var r=0;r<t.length;r++){var n=t.feature(r);n.index=r;for(var i in e)e[i].filter(n)&&e[i].features.push(n)}}function y(t){if(t)return v(t);if(2===++N){for(var e=P.length-1;e>=0;e--)b(E,P[e]);x()}}function b(t,e){if(e.populateArrays(A,j,F),"symbol"!==e.type)for(var r=0;r<e.features.length;r++){var n=e.features[r];T.insert(n,n.index,e.sourceLayerIndex,e.index)}e.features=null}function x(){E.status="done",E.redoPlacementAfterDone&&(E.redoPlacement(E.angle,E.pitch,null),E.redoPlacementAfterDone=!1);var t=T.serialize(),e=A.serialize(),r=E.collisionBoxArray.serialize(),s=E.symbolInstancesArray.serialize(),l=E.symbolQuadsArray.serialize(),u=[n].concat(t.transferables).concat(e.transferables),c=D.filter(i);v(null,{buckets:c.map(a),featureIndex:t.data,collisionTile:e.data,collisionBoxArray:r,symbolInstancesArray:s,symbolQuadsArray:l,rawTileData:n},o(c).concat(u))}this.status="parsing",this.data=t,this.collisionBoxArray=new h,this.symbolInstancesArray=new p,this.symbolQuadsArray=new m;var _,w,M,k,A=new u(this.angle,this.pitch,this.collisionBoxArray),T=new l(this.coord,this.overscaling,A,t.layers),S=new f(t.layers?Object.keys(t.layers).sort():["_geojsonTileLayer"]),E=this,L={},C={},I=0;for(var z in e)w=e[z][0],w.source===this.source&&(w.ref||w.minzoom&&this.zoom<w.minzoom||w.maxzoom&&this.zoom>=w.maxzoom||w.layout&&"none"===w.layout.visibility||t.layers&&!t.layers[w.sourceLayer]||(k=c.create({layer:w,index:I++,childLayers:e[z],zoom:this.zoom,overscaling:this.overscaling,showCollisionBoxes:this.showCollisionBoxes,collisionBoxArray:this.collisionBoxArray,symbolQuadsArray:this.symbolQuadsArray,symbolInstancesArray:this.symbolInstancesArray,sourceLayerIndex:S.encode(w.sourceLayer||"_geojsonTileLayer")}),k.createFilter(),L[w.id]=k,t.layers&&(M=w.sourceLayer,C[M]=C[M]||{},C[M][w.id]=k)));if(t.layers)for(M in C)1===w.version&&d.warnOnce('Vector tile source "'+this.source+'" layer "'+M+'" does not use vector tile spec v2 and therefore may have some rendering errors.'),(w=t.layers[M])&&g(w,C[M]);else g(t,L);var D=[],P=this.symbolBuckets=[],O=[];T.bucketLayerIDs={};for(var R in L)k=L[R],0!==k.features.length&&(T.bucketLayerIDs[k.index]=k.childLayers.map(s),D.push(k),"symbol"===k.type?P.push(k):O.push(k));var F={},j={},N=0;if(P.length>0){for(_=P.length-1;_>=0;_--)P[_].updateIcons(F),P[_].updateFont(j);for(var B in j)j[B]=Object.keys(j[B]).map(Number);F=Object.keys(F),r.send("get glyphs",{uid:this.uid,stacks:j},function(t,e){j=e,y(t)}),F.length?r.send("get icons",{icons:F},function(t,e){F=e,y(t)}):y()}for(_=O.length-1;_>=0;_--)b(this,O[_]);if(0===P.length)return x()},n.prototype.redoPlacement=function(t,e,r){if("done"!==this.status)return this.redoPlacementAfterDone=!0,this.angle=t,{};for(var n=new u(t,e,this.collisionBoxArray),s=this.symbolBuckets,l=s.length-1;l>=0;l--)s[l].placeFeatures(n,r);var c=n.serialize(),h=s.filter(i);return{result:{buckets:h.map(a),collisionTile:c.data},transferables:o(h).concat(c.transferables)}}},{"../data/bucket":329,"../data/feature_index":336,"../symbol/collision_box":394,"../symbol/collision_tile":396,"../symbol/symbol_instances":405,"../symbol/symbol_quads":406,"../util/dictionary_coder":432,"../util/util":442}],375:[function(t,e,r){"use strict";function n(){this.n=0,this.times=[]}e.exports=n,n.prototype.stopped=function(){return this.times=this.times.filter(function(t){return t.time>=(new Date).getTime()}),!this.times.length},n.prototype.set=function(t){return this.times.push({id:this.n,time:t+(new Date).getTime()}),this.n++},n.prototype.cancel=function(t){this.times=this.times.filter(function(e){return e.id!==t})}},{}],376:[function(t,e,r){"use strict";function n(t){this.base=t,this.retina=s.devicePixelRatio>1;var e=this.retina?"@2x":"";o.getJSON(l(t,e,".json"),function(t,e){if(t)return void this.fire("error",{error:t});this.data=e,this.img&&this.fire("load")}.bind(this)),o.getImage(l(t,e,".png"),function(t,e){if(t)return void this.fire("error",{error:t});for(var r=e.getData(),n=e.data=new Uint8Array(r.length),i=0;i<r.length;i+=4){var a=r[i+3]/255;n[i+0]=r[i+0]*a,n[i+1]=r[i+1]*a,n[i+2]=r[i+2]*a,n[i+3]=r[i+3]}this.img=e,this.data&&this.fire("load")}.bind(this))}function i(){}var a=t("../util/evented"),o=t("../util/ajax"),s=t("../util/browser"),l=t("../util/mapbox").normalizeSpriteURL;e.exports=n,n.prototype=Object.create(a),n.prototype.toJSON=function(){return this.base},n.prototype.loaded=function(){return!(!this.data||!this.img)},n.prototype.resize=function(){if(s.devicePixelRatio>1!==this.retina){var t=new n(this.base);t.on("load",function(){this.img=t.img,this.data=t.data,this.retina=t.retina}.bind(this))}},i.prototype={x:0,y:0,width:0,height:0,pixelRatio:1,sdf:!1},n.prototype.getSpritePosition=function(t){if(!this.loaded())return new i;var e=this.data&&this.data[t];return e&&this.img?e:new i}},{"../util/ajax":425,"../util/browser":426,"../util/evented":434,"../util/mapbox":439}],377:[function(t,e,r){"use strict";var n=t("csscolorparser").parseCSSColor,i=t("../util/util"),a=t("./style_function"),o={};e.exports=function t(e){if(a.isFunctionDefinition(e))return i.extend({},e,{stops:e.stops.map(function(e){return[e[0],t(e[1])]})});if("string"==typeof e){if(!o[e]){var r=n(e);if(!r)throw new Error("Invalid color "+e);o[e]=[r[0]/255*r[3],r[1]/255*r[3],r[2]/255*r[3],r[3]]}return o[e]}throw new Error("Invalid color "+e)}},{"../util/util":442,"./style_function":380,csscolorparser:108}],378:[function(t,e,r){"use strict";function n(t,e,r){this.animationLoop=e||new m,this.dispatcher=new p(r||1,this),this.spriteAtlas=new l(1024,1024),this.lineAtlas=new u(256,512),this._layers={},this._order=[],this._groups=[],this.sources={},this.zoomHistory={},c.bindAll(["_forwardSourceEvent","_forwardTileEvent","_forwardLayerEvent","_redoPlacement"],this),this._resetUpdates();var n=function(t,e){if(t)return void this.fire("error",{error:t});if(!v.emitErrors(this,v(e))){this._loaded=!0,this.stylesheet=e,this.updateClasses();var r=e.sources;for(var n in r)this.addSource(n,r[n]);e.sprite&&(this.sprite=new o(e.sprite),this.sprite.on("load",this.fire.bind(this,"change"))),this.glyphSource=new s(e.glyphs),this._resolve(),this.fire("load")}}.bind(this);"string"==typeof t?h.getJSON(f(t),n):d.frame(n.bind(this,null,t)),this.on("source.load",function(t){var e=t.source;if(e&&e.vectorLayerIds)for(var r in this._layers){var n=this._layers[r];n.source===e.id&&this._validateLayer(n)}})}var i=t("../util/evented"),a=t("./style_layer"),o=t("./image_sprite"),s=t("../symbol/glyph_source"),l=t("../symbol/sprite_atlas"),u=t("../render/line_atlas"),c=t("../util/util"),h=t("../util/ajax"),f=t("../util/mapbox").normalizeStyleURL,d=t("../util/browser"),p=t("../util/dispatcher"),m=t("./animation_loop"),v=t("./validate_style"),g=t("../source/source"),y=t("../source/query_features"),b=t("../source/source_cache"),x=t("./style_spec"),_=t("./style_function");e.exports=n,n.prototype=c.inherit(i,{_loaded:!1,_validateLayer:function(t){var e=this.sources[t.source];t.sourceLayer&&e&&e.vectorLayerIds&&-1===e.vectorLayerIds.indexOf(t.sourceLayer)&&this.fire("error",{error:new Error('Source layer "'+t.sourceLayer+'" does not exist on source "'+e.id+'" as specified by style layer "'+t.id+'"')})},loaded:function(){if(!this._loaded)return!1;if(Object.keys(this._updates.sources).length)return!1;for(var t in this.sources)if(!this.sources[t].loaded())return!1;return!(this.sprite&&!this.sprite.loaded())},_resolve:function(){var t,e;this._layers={},this._order=this.stylesheet.layers.map(function(t){return t.id});for(var r=0;r<this.stylesheet.layers.length;r++)e=this.stylesheet.layers[r],e.ref||(t=a.create(e),this._layers[t.id]=t,t.on("error",this._forwardLayerEvent));for(var n=0;n<this.stylesheet.layers.length;n++)if(e=this.stylesheet.layers[n],e.ref){var i=this.getLayer(e.ref);t=a.create(e,i),this._layers[t.id]=t,t.on("error",this._forwardLayerEvent)}this._groupLayers(),this._updateWorkerLayers()},_groupLayers:function(){var t;this._groups=[];for(var e=0;e<this._order.length;++e){var r=this._layers[this._order[e]];t&&r.source===t.source||(t=[],t.source=r.source,this._groups.push(t)),t.push(r)}},_updateWorkerLayers:function(t){this.dispatcher.broadcast(t?"update layers":"set layers",this._serializeLayers(t))},_serializeLayers:function(t){t=t||this._order;for(var e=[],r={includeRefProperties:!0},n=0;n<t.length;n++)e.push(this._layers[t[n]].serialize(r));return e},_applyClasses:function(t,e){if(this._loaded){t=t||[],e=e||{transition:!0};var r=this.stylesheet.transition||{},n=this._updates.allPaintProps?this._layers:this._updates.paintProps;for(var i in n){var a=this._layers[i],o=this._updates.paintProps[i];if(this._updates.allPaintProps||o.all)a.updatePaintTransitions(t,e,r,this.animationLoop);else for(var s in o)this._layers[i].updatePaintTransition(s,t,e,r,this.animationLoop)}}},_recalculate:function(t){for(var e in this.sources)this.sources[e].used=!1;this._updateZoomHistory(t),this.rasterFadeDuration=300;for(var r in this._layers){var n=this._layers[r];n.recalculate(t,this.zoomHistory),!n.isHidden(t)&&n.source&&(this.sources[n.source].used=!0)}Math.floor(this.z)!==Math.floor(t)&&this.animationLoop.set(300),this.z=t,this.fire("zoom")},_updateZoomHistory:function(t){var e=this.zoomHistory;void 0===e.lastIntegerZoom&&(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=0,e.lastZoom=t),Math.floor(e.lastZoom)<Math.floor(t)?(e.lastIntegerZoom=Math.floor(t),e.lastIntegerZoomTime=Date.now()):Math.floor(e.lastZoom)>Math.floor(t)&&(e.lastIntegerZoom=Math.floor(t+1),e.lastIntegerZoomTime=Date.now()),e.lastZoom=t},_checkLoaded:function(){if(!this._loaded)throw new Error("Style is not done loading")},update:function(t,e){if(!this._updates.changed)return this;if(this._updates.allLayers)this._groupLayers(),this._updateWorkerLayers();else{var r=Object.keys(this._updates.layers);r.length&&this._updateWorkerLayers(r)}var n,i=Object.keys(this._updates.sources);for(n=0;n<i.length;n++)this._reloadSource(i[n]);for(n=0;n<this._updates.events.length;n++){var a=this._updates.events[n];this.fire(a[0],a[1])}return this._applyClasses(t,e),this._updates.changed&&this.fire("change"),this._resetUpdates(),this},_resetUpdates:function(){this._updates={events:[],layers:{},sources:{},paintProps:{}}},addSource:function(t,e){if(this._checkLoaded(),void 0!==this.sources[t])throw new Error("There is already a source with this ID");if(!e.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(e)+".");return["vector","raster","geojson","video","image"].indexOf(e.type)>=0&&this._handleErrors(v.source,"sources."+t,e)?this:(e=new b(t,e,this.dispatcher),this.sources[t]=e,e.style=this,e.on("load",this._forwardSourceEvent).on("error",this._forwardSourceEvent).on("change",this._forwardSourceEvent).on("tile.add",this._forwardTileEvent).on("tile.load",this._forwardTileEvent).on("tile.error",this._forwardTileEvent).on("tile.remove",this._forwardTileEvent).on("tile.stats",this._forwardTileEvent),this._updates.events.push(["source.add",{source:e}]),this._updates.changed=!0,this)},removeSource:function(t){if(this._checkLoaded(),void 0===this.sources[t])throw new Error("There is no source with this ID");var e=this.sources[t];return delete this.sources[t],delete this._updates.sources[t],e.off("load",this._forwardSourceEvent).off("error",this._forwardSourceEvent).off("change",this._forwardSourceEvent).off("tile.add",this._forwardTileEvent).off("tile.load",this._forwardTileEvent).off("tile.error",this._forwardTileEvent).off("tile.remove",this._forwardTileEvent).off("tile.stats",this._forwardTileEvent),this._updates.events.push(["source.remove",{source:e}]),this._updates.changed=!0,this},getSource:function(t){return this.sources[t]&&this.sources[t].getSource()},addLayer:function(t,e){if(this._checkLoaded(),!(t instanceof a)){if(this._handleErrors(v.layer,"layers."+t.id,t,!1,{arrayIndex:-1}))return this;var r=t.ref&&this.getLayer(t.ref);t=a.create(t,r)}return this._validateLayer(t),t.on("error",this._forwardLayerEvent),this._layers[t.id]=t,this._order.splice(e?this._order.indexOf(e):1/0,0,t.id),this._updates.allLayers=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.events.push(["layer.add",{layer:t}]),this.updateClasses(t.id)},removeLayer:function(t){this._checkLoaded();var e=this._layers[t];if(void 0===e)throw new Error("There is no layer with this ID");for(var r in this._layers)this._layers[r].ref===t&&this.removeLayer(r);return e.off("error",this._forwardLayerEvent),delete this._layers[t],delete this._updates.layers[t],delete this._updates.paintProps[t],this._order.splice(this._order.indexOf(t),1),this._updates.allLayers=!0,this._updates.events.push(["layer.remove",{layer:e}]),this._updates.changed=!0,this},getLayer:function(t){return this._layers[t]},getReferentLayer:function(t){var e=this.getLayer(t);return e.ref&&(e=this.getLayer(e.ref)),e},setLayerZoomRange:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return n.minzoom===e&&n.maxzoom===r?this:(null!=e&&(n.minzoom=e),null!=r&&(n.maxzoom=r),this._updateLayer(n))},setFilter:function(t,e){this._checkLoaded();var r=this.getReferentLayer(t);return null!==e&&this._handleErrors(v.filter,"layers."+r.id+".filter",e)?this:c.deepEqual(r.filter,e)?this:(r.filter=c.clone(e),this._updateLayer(r))},getFilter:function(t){return this.getReferentLayer(t).filter},setLayoutProperty:function(t,e,r){this._checkLoaded();var n=this.getReferentLayer(t);return c.deepEqual(n.getLayoutProperty(e),r)?this:(n.setLayoutProperty(e,r),this._updateLayer(n))},getLayoutProperty:function(t,e){return this.getReferentLayer(t).getLayoutProperty(e)},setPaintProperty:function(t,e,r,n){this._checkLoaded();var i=this.getLayer(t);if(c.deepEqual(i.getPaintProperty(e,n),r))return this;var a=i.isPaintValueFeatureConstant(e);return i.setPaintProperty(e,r,n),!(r&&_.isFunctionDefinition(r)&&"$zoom"!==r.property&&void 0!==r.property)&&a||(this._updates.layers[t]=!0,i.source&&(this._updates.sources[i.source]=!0)),this.updateClasses(t,e)},getPaintProperty:function(t,e,r){return this.getLayer(t).getPaintProperty(e,r)},updateClasses:function(t,e){if(this._updates.changed=!0,t){var r=this._updates.paintProps;r[t]||(r[t]={}),r[t][e||"all"]=!0}else this._updates.allPaintProps=!0;return this},serialize:function(){return c.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:c.mapObject(this.sources,function(t){return t.serialize()}),layers:this._order.map(function(t){return this._layers[t].serialize()},this)},function(t){return void 0!==t})},_updateLayer:function(t){return this._updates.layers[t.id]=!0,t.source&&(this._updates.sources[t.source]=!0),this._updates.changed=!0,this},_flattenRenderedFeatures:function(t){for(var e=[],r=this._order.length-1;r>=0;r--)for(var n=this._order[r],i=0;i<t.length;i++){var a=t[i][n];if(a)for(var o=0;o<a.length;o++)e.push(a[o])}return e},queryRenderedFeatures:function(t,e,r,n){ -e&&e.filter&&this._handleErrors(v.filter,"queryRenderedFeatures.filter",e.filter,!0);var i={};if(e&&e.layers)for(var a=0;a<e.layers.length;a++){var o=e.layers[a];i[this._layers[o].source]=!0}var s=[];for(var l in this.sources)if(!e.layers||i[l]){var u=this.sources[l],c=y.rendered(u,this._layers,t,e,r,n);s.push(c)}return this._flattenRenderedFeatures(s)},querySourceFeatures:function(t,e){e&&e.filter&&this._handleErrors(v.filter,"querySourceFeatures.filter",e.filter,!0);var r=this.sources[t];return r?y.source(r,e):[]},addSourceType:function(t,e,r){return g.getType(t)?r(new Error('A source type called "'+t+'" already exists.')):(g.setType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("load worker source",{name:t,url:e.workerSourceURL},r):r(null,null))},_handleErrors:function(t,e,r,n,i){var a=n?v.throwErrors:v.emitErrors,o=t.call(v,c.extend({key:e,style:this.serialize(),value:r,styleSpec:x},i));return a.call(v,this,o)},_remove:function(){this.dispatcher.remove()},_reloadSource:function(t){this.sources[t].reload()},_updateSources:function(t){for(var e in this.sources)this.sources[e].update(t)},_redoPlacement:function(){for(var t in this.sources)this.sources[t].redoPlacement&&this.sources[t].redoPlacement()},_forwardSourceEvent:function(t){this.fire("source."+t.type,c.extend({source:t.target.getSource()},t))},_forwardTileEvent:function(t){this.fire(t.type,c.extend({source:t.target},t))},_forwardLayerEvent:function(t){this.fire("layer."+t.type,c.extend({layer:{id:t.target.id}},t))},"get sprite json":function(t,e){var r=this.sprite;r.loaded()?e(null,{sprite:r.data,retina:r.retina}):r.on("load",function(){e(null,{sprite:r.data,retina:r.retina})})},"get icons":function(t,e){var r=this.sprite,n=this.spriteAtlas;r.loaded()?(n.setSprite(r),n.addIcons(t.icons,e)):r.on("load",function(){n.setSprite(r),n.addIcons(t.icons,e)})},"get glyphs":function(t,e){function r(t,r,n){t&&console.error(t),a[n]=r,0===--i&&e(null,a)}var n=t.stacks,i=Object.keys(n).length,a={};for(var o in n)this.glyphSource.getSimpleGlyphs(o,n[o],t.uid,r)}})},{"../render/line_atlas":354,"../source/query_features":364,"../source/source":366,"../source/source_cache":367,"../symbol/glyph_source":399,"../symbol/sprite_atlas":404,"../util/ajax":425,"../util/browser":426,"../util/dispatcher":433,"../util/evented":434,"../util/mapbox":439,"../util/util":442,"./animation_loop":375,"./image_sprite":376,"./style_function":380,"./style_layer":381,"./style_spec":388,"./validate_style":390}],379:[function(t,e,r){"use strict";function n(t,e){this.value=s.clone(e),this.isFunction=a.isFunctionDefinition(e),this.json=JSON.stringify(this.value);var r="color"===t.type&&this.value?o(this.value):e;if(this.calculate=a[t.function||"piecewise-constant"](r),this.isFeatureConstant=this.calculate.isFeatureConstant,this.isZoomConstant=this.calculate.isZoomConstant,"piecewise-constant"===t.function&&t.transition&&(this.calculate=i(this.calculate)),!this.isFeatureConstant&&!this.isZoomConstant){this.stopZoomLevels=[];for(var n=[],l=this.value.stops,u=0;u<this.value.stops.length;u++){var c=l[u][0].zoom;this.stopZoomLevels.indexOf(c)<0&&(this.stopZoomLevels.push(c),n.push([c,n.length]))}this.calculateInterpolationT=a.interpolated({stops:n,base:e.base})}}function i(t){return function(e,r){var n,i,a,o=e.zoom,s=e.zoomHistory,l=e.duration,u=o%1,c=Math.min((Date.now()-s.lastIntegerZoomTime)/l,1),h=1;return o>s.lastIntegerZoom?(n=u+(1-u)*c,h*=2,i=t({zoom:o-1},r),a=t({zoom:o},r)):(n=1-(1-c)*u,a=t({zoom:o},r),i=t({zoom:o+1},r),h/=2),void 0===i||void 0===a?void 0:{from:i,fromScale:h,to:a,toScale:1,t:n}}}var a=t("./style_function"),o=t("./parse_color"),s=t("../util/util");e.exports=n},{"../util/util":442,"./parse_color":377,"./style_function":380}],380:[function(t,e,r){"use strict";var n=t("mapbox-gl-function");r.interpolated=function(t){var e=n.interpolated(t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r["piecewise-constant"]=function(t){var e=n["piecewise-constant"](t),r=function(t,r){return e(t&&t.zoom,r||{})};return r.isFeatureConstant=e.isFeatureConstant,r.isZoomConstant=e.isZoomConstant,r},r.isFunctionDefinition=n.isFunctionDefinition},{"mapbox-gl-function":302}],381:[function(t,e,r){"use strict";function n(t,e){this.set(t,e)}function i(t){return t.value}var a=t("../util/util"),o=t("./style_transition"),s=t("./style_declaration"),l=t("./style_spec"),u=t("./validate_style"),c=t("./parse_color"),h=t("../util/evented");e.exports=n;n.create=function(e,r){return new({background:t("./style_layer/background_style_layer"),circle:t("./style_layer/circle_style_layer"),fill:t("./style_layer/fill_style_layer"),line:t("./style_layer/line_style_layer"),raster:t("./style_layer/raster_style_layer"),symbol:t("./style_layer/symbol_style_layer")}[(r||e).type])(e,r)},n.prototype=a.inherit(h,{set:function(t,e){this.id=t.id,this.ref=t.ref,this.metadata=t.metadata,this.type=(e||t).type,this.source=(e||t).source,this.sourceLayer=(e||t)["source-layer"],this.minzoom=(e||t).minzoom,this.maxzoom=(e||t).maxzoom,this.filter=(e||t).filter,this.paint={},this.layout={},this._paintSpecifications=l["paint_"+this.type],this._layoutSpecifications=l["layout_"+this.type],this._paintTransitions={},this._paintTransitionOptions={},this._paintDeclarations={},this._layoutDeclarations={},this._layoutFunctions={};var r,n;for(var i in t){var a=i.match(/^paint(?:\.(.*))?$/);if(a){var o=a[1]||"";for(r in t[i])this.setPaintProperty(r,t[i][r],o)}}if(this.ref)this._layoutDeclarations=e._layoutDeclarations;else for(n in t.layout)this.setLayoutProperty(n,t.layout[n]);for(r in this._paintSpecifications)this.paint[r]=this.getPaintValue(r);for(n in this._layoutSpecifications)this._updateLayoutValue(n)},setLayoutProperty:function(t,e){if(null==e)delete this._layoutDeclarations[t];else{var r="layers."+this.id+".layout."+t;if(this._handleErrors(u.layoutProperty,r,t,e))return;this._layoutDeclarations[t]=new s(this._layoutSpecifications[t],e)}this._updateLayoutValue(t)},getLayoutProperty:function(t){return this._layoutDeclarations[t]&&this._layoutDeclarations[t].value},getLayoutValue:function(t,e,r){var n=this._layoutSpecifications[t],i=this._layoutDeclarations[t];return i?i.calculate(e,r):n.default},setPaintProperty:function(t,e,r){var n="layers."+this.id+(r?'["paint.'+r+'"].':".paint.")+t;if(a.endsWith(t,"-transition"))if(this._paintTransitionOptions[r||""]||(this._paintTransitionOptions[r||""]={}),null===e||void 0===e)delete this._paintTransitionOptions[r||""][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintTransitionOptions[r||""][t]=e}else if(this._paintDeclarations[r||""]||(this._paintDeclarations[r||""]={}),null===e||void 0===e)delete this._paintDeclarations[r||""][t];else{if(this._handleErrors(u.paintProperty,n,t,e))return;this._paintDeclarations[r||""][t]=new s(this._paintSpecifications[t],e)}},getPaintProperty:function(t,e){return e=e||"",a.endsWith(t,"-transition")?this._paintTransitionOptions[e]&&this._paintTransitionOptions[e][t]:this._paintDeclarations[e]&&this._paintDeclarations[e][t]&&this._paintDeclarations[e][t].value},getPaintValue:function(t,e,r){var n=this._paintSpecifications[t],i=this._paintTransitions[t];return i?i.calculate(e,r):"color"===n.type&&n.default?c(n.default):n.default},getPaintValueStopZoomLevels:function(t){var e=this._paintTransitions[t];return e?e.declaration.stopZoomLevels:[]},getPaintInterpolationT:function(t,e){return this._paintTransitions[t].declaration.calculateInterpolationT({zoom:e})},isPaintValueFeatureConstant:function(t){var e=this._paintTransitions[t];return!e||e.declaration.isFeatureConstant},isLayoutValueFeatureConstant:function(t){var e=this._layoutDeclarations[t];return!e||e.isFeatureConstant},isPaintValueZoomConstant:function(t){var e=this._paintTransitions[t];return!e||e.declaration.isZoomConstant},isHidden:function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||("none"===this.layout.visibility||0===this.paint[this.type+"-opacity"]))},updatePaintTransitions:function(t,e,r,n){for(var i=a.extend({},this._paintDeclarations[""]),o=0;o<t.length;o++)a.extend(i,this._paintDeclarations[t[o]]);var s;for(s in i)this._applyPaintDeclaration(s,i[s],e,r,n);for(s in this._paintTransitions)s in i||this._applyPaintDeclaration(s,null,e,r,n)},updatePaintTransition:function(t,e,r,n,i){for(var a=this._paintDeclarations[""][t],o=0;o<e.length;o++){var s=this._paintDeclarations[e[o]];s&&s[t]&&(a=s[t])}this._applyPaintDeclaration(t,a,r,n,i)},recalculate:function(t,e){for(var r in this._paintTransitions)this.paint[r]=this.getPaintValue(r,{zoom:t,zoomHistory:e});for(var n in this._layoutFunctions)this.layout[n]=this.getLayoutValue(n,{zoom:t,zoomHistory:e})},serialize:function(t){var e={id:this.id,ref:this.ref,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom};for(var r in this._paintDeclarations){e[""===r?"paint":"paint."+r]=a.mapObject(this._paintDeclarations[r],i)}return(!this.ref||t&&t.includeRefProperties)&&a.extend(e,{type:this.type,source:this.source,"source-layer":this.sourceLayer,filter:this.filter,layout:a.mapObject(this._layoutDeclarations,i)}),a.filterObject(e,function(t,e){return void 0!==t&&!("layout"===e&&!Object.keys(t).length)})},_applyPaintDeclaration:function(t,e,r,n,i){var l=r.transition?this._paintTransitions[t]:void 0,u=this._paintSpecifications[t];if(null!==e&&void 0!==e||(e=new s(u,u.default)),!l||l.declaration.json!==e.json){var c=a.extend({duration:300,delay:0},n,this.getPaintProperty(t+"-transition")),h=this._paintTransitions[t]=new o(u,e,l,c);h.instant()||(h.loopID=i.set(h.endTime-Date.now())),l&&i.cancel(l.loopID)}},_updateLayoutValue:function(t){var e=this._layoutDeclarations[t];e&&e.isFunction?this._layoutFunctions[t]=!0:(delete this._layoutFunctions[t],this.layout[t]=this.getLayoutValue(t))},_handleErrors:function(t,e,r,n){return u.emitErrors(this,t.call(u,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:l,style:{glyphs:!0,sprite:!0}}))}})},{"../util/evented":434,"../util/util":442,"./parse_color":377,"./style_declaration":379,"./style_layer/background_style_layer":382,"./style_layer/circle_style_layer":383,"./style_layer/fill_style_layer":384,"./style_layer/line_style_layer":385,"./style_layer/raster_style_layer":386,"./style_layer/symbol_style_layer":387,"./style_spec":388,"./style_transition":389,"./validate_style":390}],382:[function(t,e,r){"use strict";function n(){a.apply(this,arguments)}var i=t("../../util/util"),a=t("../style_layer");e.exports=n,n.prototype=i.inherit(a,{})},{"../../util/util":442,"../style_layer":381}],383:[function(t,e,r){"use strict";function n(){a.apply(this,arguments)}var i=t("../../util/util"),a=t("../style_layer");e.exports=n,n.prototype=i.inherit(a,{})},{"../../util/util":442,"../style_layer":381}],384:[function(t,e,r){"use strict";function n(){a.apply(this,arguments)}var i=t("../../util/util"),a=t("../style_layer");n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){return"fill-outline-color"===t&&void 0===this.getPaintProperty("fill-outline-color")?a.prototype.getPaintValue.call(this,"fill-color",e,r):a.prototype.getPaintValue.call(this,t,e,r)},getPaintValueStopZoomLevels:function(t){return"fill-outline-color"===t&&void 0===this.getPaintProperty("fill-outline-color")?a.prototype.getPaintValueStopZoomLevels.call(this,"fill-color"):a.prototype.getPaintValueStopZoomLevels.call(this,arguments)},getPaintInterpolationT:function(t,e){return"fill-outline-color"===t&&void 0===this.getPaintProperty("fill-outline-color")?a.prototype.getPaintInterpolationT.call(this,"fill-color",e):a.prototype.getPaintInterpolationT.call(this,t,e)},isPaintValueFeatureConstant:function(t){return"fill-outline-color"===t&&void 0===this.getPaintProperty("fill-outline-color")?a.prototype.isPaintValueFeatureConstant.call(this,"fill-color"):a.prototype.isPaintValueFeatureConstant.call(this,t)},isPaintValueZoomConstant:function(t){return"fill-outline-color"===t&&void 0===this.getPaintProperty("fill-outline-color")?a.prototype.isPaintValueZoomConstant.call(this,"fill-color"):a.prototype.isPaintValueZoomConstant.call(this,t)}}),e.exports=n},{"../../util/util":442,"../style_layer":381}],385:[function(t,e,r){"use strict";function n(){a.apply(this,arguments)}var i=t("../../util/util"),a=t("../style_layer");e.exports=n,n.prototype=i.inherit(a,{getPaintValue:function(t,e,r){var n=a.prototype.getPaintValue.apply(this,arguments);if(n&&"line-dasharray"===t){var i=Math.floor(e.zoom);this._flooredZoom!==i&&(this._flooredZoom=i,this._flooredLineWidth=this.getPaintValue("line-width",e,r)),n.fromScale*=this._flooredLineWidth,n.toScale*=this._flooredLineWidth}return n}})},{"../../util/util":442,"../style_layer":381}],386:[function(t,e,r){"use strict";function n(){a.apply(this,arguments)}var i=t("../../util/util"),a=t("../style_layer");e.exports=n,n.prototype=i.inherit(a,{})},{"../../util/util":442,"../style_layer":381}],387:[function(t,e,r){"use strict";function n(){a.apply(this,arguments)}var i=t("../../util/util"),a=t("../style_layer");e.exports=n,n.prototype=i.inherit(a,{isHidden:function(){if(a.prototype.isHidden.apply(this,arguments))return!0;var t=0===this.paint["text-opacity"]||!this.layout["text-field"],e=0===this.paint["icon-opacity"]||!this.layout["icon-image"];return!(!t||!e)},getLayoutValue:function(t,e,r){return("text-rotation-alignment"!==t||"line"!==this.getLayoutValue("symbol-placement",e,r)||this.getLayoutProperty("text-rotation-alignment"))&&("icon-rotation-alignment"!==t||"line"!==this.getLayoutValue("symbol-placement",e,r)||this.getLayoutProperty("icon-rotation-alignment"))?"text-pitch-alignment"!==t||this.getLayoutProperty("text-pitch-alignment")?a.prototype.getLayoutValue.apply(this,arguments):this.getLayoutValue("text-rotation-alignment"):"map"}})},{"../../util/util":442,"../style_layer":381}],388:[function(t,e,r){"use strict";e.exports=t("mapbox-gl-style-spec/reference/latest.min")},{"mapbox-gl-style-spec/reference/latest.min":325}],389:[function(t,e,r){"use strict";function n(t,e,r,n){this.declaration=e,this.startTime=this.endTime=(new Date).getTime(),"piecewise-constant"===t.function&&t.transition?this.interp=i:this.interp=o[t.type],this.oldTransition=r,this.duration=n.duration||0,this.delay=n.delay||0,this.instant()||(this.endTime=this.startTime+this.duration+this.delay,this.ease=a.easeCubicInOut),r&&r.endTime<=this.startTime&&delete r.oldTransition}function i(t,e,r){return void 0===(t&&t.to)||void 0===(e&&e.to)?void 0:{from:t.to,fromScale:t.toScale,to:e.to,toScale:e.toScale,t:r}}var a=t("../util/util"),o=t("../util/interpolate");e.exports=n,n.prototype.instant=function(){return!this.oldTransition||!this.interp||0===this.duration&&0===this.delay},n.prototype.calculate=function(t,e){var r=this.declaration.calculate(a.extend({},t,{duration:this.duration}),e);if(this.instant())return r;var n=t.time||Date.now();if(n<this.endTime){var i=this.oldTransition.calculate(a.extend({},t,{time:this.startTime}),e),o=this.ease((n-this.startTime-this.delay)/this.duration);r=this.interp(i,r,o)}return r}},{"../util/interpolate":436,"../util/util":442}],390:[function(t,e,r){"use strict";e.exports=t("mapbox-gl-style-spec/lib/validate_style.min"),e.exports.emitErrors=function(t,e){if(e&&e.length){for(var r=0;r<e.length;r++)t.fire("error",{error:new Error(e[r].message)});return!0}return!1},e.exports.throwErrors=function(t,e){if(e)for(var r=0;r<e.length;r++)throw new Error(e[r].message)}},{"mapbox-gl-style-spec/lib/validate_style.min":324}],391:[function(t,e,r){"use strict";function n(t,e,r,n){this.x=t,this.y=e,this.angle=r,void 0!==n&&(this.segment=n)}var i=t("point-geometry");e.exports=n,n.prototype=Object.create(i.prototype),n.prototype.clone=function(){return new n(this.x,this.y,this.angle,this.segment)}},{"point-geometry":484}],392:[function(t,e,r){"use strict";function n(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var d=c.angleTo(h)-h.angleTo(f);for(d=Math.abs((d+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:d}),u+=d;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=h.dist(f)}return!0}e.exports=n},{}],393:[function(t,e,r){"use strict";function n(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l,u=t[s],c=0;c<u.length-1;c++){var h=u[c],f=u[c+1];h.x<e&&f.x<e||(h.x<e?h=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round():f.x<e&&(f=new i(e,h.y+(f.y-h.y)*((e-h.x)/(f.x-h.x)))._round()),h.y<r&&f.y<r||(h.y<r?h=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round():f.y<r&&(f=new i(h.x+(f.x-h.x)*((r-h.y)/(f.y-h.y)),r)._round()),h.x>=n&&f.x>=n||(h.x>=n?h=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round():f.x>=n&&(f=new i(n,h.y+(f.y-h.y)*((n-h.x)/(f.x-h.x)))._round()),h.y>=a&&f.y>=a||(h.y>=a?h=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round():f.y>=a&&(f=new i(h.x+(f.x-h.x)*((a-h.y)/(f.y-h.y)),a)._round()),l&&h.equals(l[l.length-1])||(l=[h],o.push(l)),l.push(f)))))}return o}var i=t("point-geometry");e.exports=n},{"point-geometry":484}],394:[function(t,e,r){"use strict";var n=t("../util/struct_array"),i=t("../util/util"),a=t("point-geometry"),o=e.exports=new n({members:[{type:"Int16",name:"anchorPointX"},{type:"Int16",name:"anchorPointY"},{type:"Int16",name:"x1"},{type:"Int16",name:"y1"},{type:"Int16",name:"x2"},{type:"Int16",name:"y2"},{type:"Float32",name:"maxScale"},{type:"Uint32",name:"featureIndex"},{type:"Uint16",name:"sourceLayerIndex"},{type:"Uint16",name:"bucketIndex"},{type:"Int16",name:"bbox0"},{type:"Int16",name:"bbox1"},{type:"Int16",name:"bbox2"},{type:"Int16",name:"bbox3"},{type:"Float32",name:"placementScale"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{"../util/struct_array":440,"../util/util":442,"point-geometry":484}],395:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s,l,u,c){var h=o.top*s-l,f=o.bottom*s+l,d=o.left*s-l,p=o.right*s+l;if(this.boxStartIndex=t.length,u){var m=f-h,v=p-d;if(m>0)if(m=Math.max(10*s,m),c){var g=e[r.segment+1].sub(e[r.segment])._unit()._mult(v),y=[r.sub(g),r.add(g)];this._addLineCollisionBoxes(t,y,r,0,v,m,n,i,a)}else this._addLineCollisionBoxes(t,e,r,r.segment,v,m,n,i,a)}else t.emplaceBack(r.x,r.y,d,h,p,f,1/0,n,i,a,0,0,0,0,0);this.boxEndIndex=t.length}e.exports=n,n.prototype._addLineCollisionBoxes=function(t,e,r,n,i,a,o,s,l){var u=a/2,c=Math.floor(i/u),h=-a/2,f=this.boxes,d=r,p=n+1,m=h;do{if(--p<0)return f;m-=e[p].dist(d),d=e[p]}while(m>-i/2);for(var v=e[p].dist(e[p+1]),g=0;g<c;g++){for(var y=-i/2+g*u;m+v<y;){if(m+=v,++p+1>=e.length)return f;v=e[p].dist(e[p+1])}var b=y-m,x=e[p],_=e[p+1],w=_.sub(x)._unit()._mult(b)._add(x)._round(),M=Math.max(Math.abs(y-h)-u/2,0),k=i/2/M;t.emplaceBack(w.x,w.y,-a/2,-a/2,a/2,a/2,k,o,s,l,0,0,0,0,0)}return f}},{}],396:[function(t,e,r){"use strict";function n(t,e,r){if("object"==typeof t){var n=t;r=e,t=n.angle,e=n.pitch,this.grid=new o(n.grid),this.ignoredGrid=new o(n.ignoredGrid)}else this.grid=new o(a,12,6),this.ignoredGrid=new o(a,12,0);this.angle=t,this.pitch=e;var i=Math.sin(t),s=Math.cos(t);if(this.rotationMatrix=[s,-i,i,s],this.reverseRotationMatrix=[s,i,-i,s],this.yStretch=1/Math.cos(e/180*Math.PI),this.yStretch=Math.pow(this.yStretch,1.3),this.collisionBoxArray=r,0===r.length){r.emplaceBack();r.emplaceBack(0,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(a,0,0,-32767,0,32767,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,0,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0),r.emplaceBack(0,a,-32767,0,32767,0,32767,0,0,0,0,0,0,0,0,0)}this.tempCollisionBox=r.get(0),this.edges=[r.get(1),r.get(2),r.get(3),r.get(4)]}var i=t("point-geometry"),a=t("../data/bucket").EXTENT,o=t("grid-index");e.exports=n,n.prototype.serialize=function(){var t={angle:this.angle,pitch:this.pitch,grid:this.grid.toArrayBuffer(),ignoredGrid:this.ignoredGrid.toArrayBuffer()};return{data:t,transferables:[t.grid,t.ignoredGrid]}},n.prototype.minScale=.25,n.prototype.maxScale=2,n.prototype.placeCollisionFeature=function(t,e,r){for(var n=this.collisionBoxArray,a=this.minScale,o=this.rotationMatrix,s=this.yStretch,l=t.boxStartIndex;l<t.boxEndIndex;l++){var u=n.get(l),c=u.anchorPoint._matMult(o),h=c.x,f=c.y,d=h+u.x1,p=f+u.y1*s,m=h+u.x2,v=f+u.y2*s;if(u.bbox0=d,u.bbox1=p,u.bbox2=m,u.bbox3=v,!e)for(var g=this.grid.query(d,p,m,v),y=0;y<g.length;y++){var b=n.get(g[y]),x=b.anchorPoint._matMult(o);if((a=this.getPlacementScale(a,c,u,x,b))>=this.maxScale)return a}if(r){var _;if(this.angle){var w=this.reverseRotationMatrix,M=new i(u.x1,u.y1).matMult(w),k=new i(u.x2,u.y1).matMult(w),A=new i(u.x1,u.y2).matMult(w),T=new i(u.x2,u.y2).matMult(w);_=this.tempCollisionBox,_.anchorPointX=u.anchorPoint.x,_.anchorPointY=u.anchorPoint.y,_.x1=Math.min(M.x,k.x,A.x,T.x),_.y1=Math.min(M.y,k.x,A.x,T.x),_.x2=Math.max(M.x,k.x,A.x,T.x),_.y2=Math.max(M.y,k.x,A.x,T.x),_.maxScale=u.maxScale}else _=u;for(var S=0;S<this.edges.length;S++){var E=this.edges[S];if((a=this.getPlacementScale(a,u.anchorPoint,_,E.anchorPoint,E))>=this.maxScale)return a}}}return a},n.prototype.queryRenderedSymbols=function(t,e,r,n,a){var o={},s=[],l=this.collisionBoxArray,u=this.rotationMatrix,c=new i(t,e)._matMult(u),h=this.tempCollisionBox;h.anchorX=c.x,h.anchorY=c.y,h.x1=0,h.y1=0,h.x2=r-t,h.y2=n-e,h.maxScale=a,a=h.maxScale;for(var f=[c.x+h.x1/a,c.y+h.y1/a*this.yStretch,c.x+h.x2/a,c.y+h.y2/a*this.yStretch],d=this.grid.query(f[0],f[1],f[2],f[3]),p=this.ignoredGrid.query(f[0],f[1],f[2],f[3]),m=0;m<p.length;m++)d.push(p[m]);for(var v=0;v<d.length;v++){var g=l.get(d[v]),y=g.sourceLayerIndex,b=g.featureIndex;if(void 0===o[y]&&(o[y]={}),!o[y][b]){var x=g.anchorPoint.matMult(u);this.getPlacementScale(this.minScale,c,h,x,g)>=a&&(o[y][b]=!0,s.push(d[v]))}}return s},n.prototype.getPlacementScale=function(t,e,r,n,i){var a=e.x-n.x,o=e.y-n.y,s=(i.x1-r.x2)/a,l=(i.x2-r.x1)/a,u=(i.y1-r.y2)*this.yStretch/o,c=(i.y2-r.y1)*this.yStretch/o;(isNaN(s)||isNaN(l))&&(s=l=1),(isNaN(u)||isNaN(c))&&(u=c=1);var h=Math.min(Math.max(s,l),Math.max(u,c)),f=i.maxScale,d=r.maxScale;return h>f&&(h=f),h>d&&(h=d),h>t&&h>=i.placementScale&&(t=h),t},n.prototype.insertCollisionFeature=function(t,e,r){for(var n=r?this.ignoredGrid:this.grid,i=this.collisionBoxArray,a=t.boxStartIndex;a<t.boxEndIndex;a++){var o=i.get(a);o.placementScale=e,e<this.maxScale&&n.insert(a,o.bbox0,o.bbox1,o.bbox2,o.bbox3)}}},{"../data/bucket":329,"grid-index":287,"point-geometry":484}],397:[function(t,e,r){"use strict";function n(t,e,r,n,a,o,s,l,u){var c=n?.6*o*s:0,h=Math.max(n?n.right-n.left:0,a?a.right-a.left:0),f=0===t[0].x||t[0].x===u||0===t[0].y||t[0].y===u;e-h*s<e/4&&(e=h*s+e/4);var d=2*o;return i(t,f?e/2*l%e:(h/2+d)*s*l%e,e,c,r,h*s,f,!1,u)}function i(t,e,r,n,l,u,c,h,f){for(var d=u/2,p=0,m=0;m<t.length-1;m++)p+=t[m].dist(t[m+1]);for(var v=0,g=e-r,y=[],b=0;b<t.length-1;b++){for(var x=t[b],_=t[b+1],w=x.dist(_),M=_.angleTo(x);g+r<v+w;){g+=r;var k=(g-v)/w,A=a(x.x,_.x,k),T=a(x.y,_.y,k);if(A>=0&&A<f&&T>=0&&T<f&&g-d>=0&&g+d<=p){var S=new o(A,T,M,b)._round();n&&!s(t,S,u,n,l)||y.push(S)}}v+=w}return h||y.length||c||(y=i(t,v/2,r,n,l,u,c,!0,f)),y}var a=t("../util/interpolate"),o=t("../symbol/anchor"),s=t("./check_max_angle");e.exports=n},{"../symbol/anchor":391,"../util/interpolate":436,"./check_max_angle":392}],398:[function(t,e,r){"use strict";function n(){this.width=o,this.height=o,this.bin=new i(this.width,this.height),this.index={},this.ids={},this.data=new Uint8Array(this.width*this.height)}var i=t("shelf-pack"),a=t("../util/util"),o=128;e.exports=n,n.prototype.getGlyphs=function(){var t,e,r,n={};for(var i in this.ids)t=i.split("#"),e=t[0],r=t[1],n[e]||(n[e]=[]),n[e].push(r);return n},n.prototype.getRects=function(){var t,e,r,n={};for(var i in this.ids)t=i.split("#"),e=t[0],r=t[1],n[e]||(n[e]={}),n[e][r]=this.index[i];return n},n.prototype.addGlyph=function(t,e,r,n){if(!r)return null;var i=e+"#"+r.id;if(this.index[i])return this.ids[i].indexOf(t)<0&&this.ids[i].push(t),this.index[i];if(!r.bitmap)return null;var o=r.width+2*n,s=r.height+2*n,l=o+2,u=s+2;l+=4-l%4,u+=4-u%4;var c=this.bin.packOne(l,u);if(c||(this.resize(),c=this.bin.packOne(l,u)),!c)return a.warnOnce("glyph bitmap overflow"),null;this.index[i]=c,this.ids[i]=[t];for(var h=this.data,f=r.bitmap,d=0;d<s;d++)for(var p=this.width*(c.y+d+1)+c.x+1,m=o*d,v=0;v<o;v++)h[p+v]=f[m+v];return this.dirty=!0,c},n.prototype.resize=function(){var t=this.width,e=this.height;if(!(t>=2048||e>=2048)){this.texture&&(this.gl&&this.gl.deleteTexture(this.texture),this.texture=null),this.width*=4,this.height*=4,this.bin.resize(this.width,this.height);for(var r=new ArrayBuffer(this.width*this.height),n=0;n<e;n++){var i=new Uint8Array(this.data.buffer,e*n,t);new Uint8Array(r,e*n*4,t).set(i)}this.data=new Uint8Array(r)}},n.prototype.bind=function(t){this.gl=t,this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.LINEAR),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),t.texImage2D(t.TEXTURE_2D,0,t.ALPHA,this.width,this.height,0,t.ALPHA,t.UNSIGNED_BYTE,null))},n.prototype.updateTexture=function(t){this.bind(t),this.dirty&&(t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width,this.height,t.ALPHA,t.UNSIGNED_BYTE,this.data),this.dirty=!1)}},{"../util/util":442,"shelf-pack":514}],399:[function(t,e,r){"use strict";function n(t){this.url=t&&o(t),this.atlases={},this.stacks={},this.loading={}}function i(t,e,r){this.advance=t.advance,this.left=t.left-r-1,this.top=t.top+r+1,this.rect=e}function a(t,e,r,n){return n=n||"abc",r.replace("{s}",n[t.length%n.length]).replace("{fontstack}",t).replace("{range}",e)}var o=t("../util/mapbox").normalizeGlyphsURL,s=t("../util/ajax").getArrayBuffer,l=t("../util/glyphs"),u=t("../symbol/glyph_atlas"),c=t("pbf");e.exports=n,n.prototype.getSimpleGlyphs=function(t,e,r,n){void 0===this.stacks[t]&&(this.stacks[t]={}),void 0===this.atlases[t]&&(this.atlases[t]=new u);for(var a,o={},s=this.stacks[t],l=this.atlases[t],c={},h=0,f=0;f<e.length;f++){var d=e[f];if(a=Math.floor(d/256),s[a]){var p=s[a].glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}else void 0===c[a]&&(c[a]=[],h++),c[a].push(d)}h||n(void 0,o,t);var v=function(e,a,s){if(!e)for(var u=this.stacks[t][a]=s.stacks[0],f=0;f<c[a].length;f++){var d=c[a][f],p=u.glyphs[d],m=l.addGlyph(r,t,p,3);p&&(o[d]=new i(p,m,3))}--h||n(void 0,o,t)}.bind(this);for(var g in c)this.loadRange(t,g,v)},n.prototype.loadRange=function(t,e,r){if(256*e>65535)return r("glyphs > 65535 not supported");void 0===this.loading[t]&&(this.loading[t]={});var n=this.loading[t];if(n[e])n[e].push(r);else{n[e]=[r];var i=256*e+"-"+(256*e+255),o=a(t,i,this.url);s(o,function(t,r){for(var i=!t&&new l(new c(new Uint8Array(r))),a=0;a<n[e].length;a++)n[e][a](t,e,i);delete n[e]})}},n.prototype.getGlyphAtlas=function(t){return this.atlases[t]}},{"../symbol/glyph_atlas":398,"../util/ajax":425,"../util/glyphs":435,"../util/mapbox":439,pbf:478}],400:[function(t,e,r){"use strict";e.exports=function(t,e,r){function n(n){c.push(t[n]),h.push(r[n]),f.push(e[n]),d++}function i(t,e,r){var n=u[t];return delete u[t],u[e]=n,h[n][0].pop(),h[n][0]=h[n][0].concat(r[0]),n}function a(t,e,r){var n=l[e];return delete l[e],l[t]=n,h[n][0].shift(),h[n][0]=r[0].concat(h[n][0]),n}function o(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}var s,l={},u={},c=[],h=[],f=[],d=0;for(s=0;s<t.length;s++){var p=r[s],m=e[s];if(m){var v=o(m,p),g=o(m,p,!0);if(v in u&&g in l&&u[v]!==l[g]){var y=a(v,g,p),b=i(v,g,h[y]);delete l[v],delete u[g],u[o(m,h[b],!0)]=b,h[y]=null}else v in u?i(v,g,p):g in l?a(v,g,p):(n(s),l[v]=d-1,u[g]=d-1)}else n(s)}return{features:c,textFeatures:f,geometries:h}}},{}],401:[function(t,e,r){"use strict";function n(t,e,r,n,i,a,o,s,l,u){this.anchorPoint=t,this.tl=e,this.tr=r,this.bl=n,this.br=i,this.tex=a,this.anchorAngle=o,this.glyphAngle=s,this.minScale=l,this.maxScale=u}function i(t,e,r,i,a,o,u,c,h){var f,d,p,m,v=e.image.rect,g=a.layout,y=e.left-1,b=y+v.w/e.image.pixelRatio,x=e.top-1,_=x+v.h/e.image.pixelRatio;if("none"!==g["icon-text-fit"]&&u){var w=b-y,M=_-x,k=g["text-size"]/24,A=u.left*k,T=u.right*k,S=u.top*k,E=u.bottom*k,L=T-A,C=E-S,I=g["icon-text-fit-padding"][0],z=g["icon-text-fit-padding"][1],D=g["icon-text-fit-padding"][2],P=g["icon-text-fit-padding"][3],O="width"===g["icon-text-fit"]?.5*(C-M):0,R="height"===g["icon-text-fit"]?.5*(L-w):0,F="width"===g["icon-text-fit"]||"both"===g["icon-text-fit"]?L:w,j="height"===g["icon-text-fit"]||"both"===g["icon-text-fit"]?C:M;f=new s(A+R-P,S+O-I),d=new s(A+R+z+F,S+O-I),p=new s(A+R+z+F,S+O+D+j),m=new s(A+R-P,S+O+D+j)}else f=new s(y,x),d=new s(b,x),p=new s(b,_),m=new s(y,_);var N=a.getLayoutValue("icon-rotate",c,h)*Math.PI/180;if(o){var B=i[t.segment];if(t.y===B.y&&t.x===B.x&&t.segment+1<i.length){var U=i[t.segment+1];N+=Math.atan2(t.y-U.y,t.x-U.x)+Math.PI}else N+=Math.atan2(t.y-B.y,t.x-B.x)}if(N){var V=Math.sin(N),H=Math.cos(N),q=[H,-V,V,H];f=f.matMult(q),d=d.matMult(q),m=m.matMult(q),p=p.matMult(q)}return[new n(new s(t.x,t.y),f,d,m,p,e.image.rect,0,0,l,1/0)]}function a(t,e,r,i,a,u){for(var c=a.layout["text-rotate"]*Math.PI/180,h=a.layout["text-keep-upright"],f=e.positionedGlyphs,d=[],p=0;p<f.length;p++){var m=f[p],v=m.glyph,g=v.rect;if(g){var y,b=(m.x+v.advance/2)*r,x=l;u?(y=[],x=o(y,t,b,i,t.segment,!0),h&&(x=Math.min(x,o(y,t,b,i,t.segment,!1)))):y=[{anchorPoint:new s(t.x,t.y),offset:0,angle:0,maxScale:1/0,minScale:l}];for(var _=m.x+v.left,w=m.y-v.top,M=_+g.w,k=w+g.h,A=new s(_,w),T=new s(M,w),S=new s(_,k),E=new s(M,k),L=0;L<y.length;L++){var C=y[L],I=A,z=T,D=S,P=E;if(c){var O=Math.sin(c),R=Math.cos(c),F=[R,-O,O,R];I=I.matMult(F),z=z.matMult(F),D=D.matMult(F),P=P.matMult(F)}var j=Math.max(C.minScale,x),N=(t.angle+C.offset+2*Math.PI)%(2*Math.PI),B=(C.angle+C.offset+2*Math.PI)%(2*Math.PI);d.push(new n(C.anchorPoint,I,z,D,P,g,N,B,j,C.maxScale))}}}return d}function o(t,e,r,n,i,a){var o=!a;r<0&&(a=!a),a&&i++;var u=new s(e.x,e.y),c=n[i],h=1/0;r=Math.abs(r);for(var f=l;;){var d=u.dist(c),p=r/d,m=Math.atan2(c.y-u.y,c.x-u.x);if(a||(m+=Math.PI),t.push({anchorPoint:u,offset:o?Math.PI:0,minScale:p,maxScale:h,angle:(m+2*Math.PI)%(2*Math.PI)}),p<=f)break;for(u=c;u.equals(c);)if(i+=a?1:-1,!(c=n[i]))return p;var v=c.sub(u)._unit();u=u.sub(v._mult(d)),h=p}return f}var s=t("point-geometry");e.exports={getIconQuads:i,getGlyphQuads:a,SymbolQuad:n};var l=.5},{"point-geometry":484}],402:[function(t,e,r){"use strict";function n(t,e,r){for(var n=[],a=0,o=t.length;a<o;a++){var s=i(t[a].properties,e["text-field"]);if(s){s=s.toString();var l=e["text-transform"];"uppercase"===l?s=s.toLocaleUpperCase():"lowercase"===l&&(s=s.toLocaleLowerCase());for(var u=0;u<s.length;u++)r[s.charCodeAt(u)]=!0;n[a]=s}else n[a]=null}return n}var i=t("../util/token");e.exports=n},{"../util/token":441}],403:[function(t,e,r){"use strict";function n(t,e,r,n){this.codePoint=t,this.x=e,this.y=r,this.glyph=n}function i(t,e,r,n,i,a){this.positionedGlyphs=t,this.text=e,this.top=r,this.bottom=n,this.left=i,this.right=a}function a(t,e,r,a,s,l,u,c,h){for(var f=[],d=new i(f,t,h[1],h[1],h[0],h[0]),p=0,m=0;m<t.length;m++){var v=t.charCodeAt(m),g=e[v];g&&(f.push(new n(v,p,-17,g)),p+=g.advance+c)}return!!f.length&&(o(d,e,a,r,s,l,u,h),d)}function o(t,e,r,n,i,a,o,u){var c=null,d=0,p=0,m=0,v=0,g=t.positionedGlyphs;if(n)for(var y=0;y<g.length;y++){var b=g[y];if(b.x-=d,b.y+=r*m,b.x>n&&null!==c){var x=g[c+1].x;v=Math.max(x,v);for(var _=c+1;_<=y;_++)g[_].y+=r,g[_].x-=x;if(o){var w=c;h[g[c].codePoint]&&w--,s(g,e,p,w,o)}p=c+1,c=null,d+=x,m++}f[b.codePoint]&&(c=y)}var M=g[g.length-1],k=M.x+e[M.codePoint].advance;v=Math.max(v,k);var A=(m+1)*r;s(g,e,p,g.length-1,o),l(g,o,i,a,v,r,m,u),t.top+=-a*A,t.bottom=t.top+A,t.left+=-i*v,t.right=t.left+v}function s(t,e,r,n,i){for(var a=e[t[n].codePoint].advance,o=(t[n].x+a)*i,s=r;s<=n;s++)t[s].x-=o} -function l(t,e,r,n,i,a,o,s){for(var l=(e-r)*i+s[0],u=(-n*(o+1)+.5)*a+s[1],c=0;c<t.length;c++)t[c].x+=l,t[c].y+=u}function u(t,e){if(!t||!t.rect)return null;var r=e["icon-offset"][0],n=e["icon-offset"][1],i=r-t.width/2,a=i+t.width,o=n-t.height/2;return new c(t,o,o+t.height,i,a)}function c(t,e,r,n,i){this.image=t,this.top=e,this.bottom=r,this.left=n,this.right=i}e.exports={shapeText:a,shapeIcon:u};var h={32:!0,8203:!0},f={32:!0,38:!0,43:!0,45:!0,47:!0,173:!0,183:!0,8203:!0,8208:!0,8211:!0}},{}],404:[function(t,e,r){"use strict";function n(t,e){this.width=t,this.height=e,this.bin=new o(t,e),this.images={},this.data=!1,this.texture=0,this.filter=0,this.pixelRatio=1,this.dirty=!0}function i(t,e,r,n,i,a,o,s,l,u,c){var h,f,d=n*e+r,p=s*a+o;if(c)for(p-=a,f=-1;f<=u;f++,d=((f+u)%u+n)*e+r,p+=a)for(h=-1;h<=l;h++)i[p+h]=t[d+(h+l)%l];else for(f=0;f<u;f++,d+=e,p+=a)for(h=0;h<l;h++)i[p+h]=t[d+h]}function a(t,e,r,n,i){this.rect=t,this.width=e,this.height=r,this.sdf=n,this.pixelRatio=i}var o=t("shelf-pack"),s=t("../util/browser"),l=t("../util/util");e.exports=n,n.prototype.allocateImage=function(t,e){t/=this.pixelRatio,e/=this.pixelRatio;var r=t+2+(4-(t+2)%4),n=e+2+(4-(e+2)%4),i=this.bin.packOne(r,n);return i||(l.warnOnce("SpriteAtlas out of space."),null)},n.prototype.getImage=function(t,e){if(this.images[t])return this.images[t];if(!this.sprite)return null;var r=this.sprite.getSpritePosition(t);if(!r.width||!r.height)return null;var n=this.allocateImage(r.width,r.height);if(!n)return null;var i=new a(n,r.width/r.pixelRatio,r.height/r.pixelRatio,r.sdf,r.pixelRatio/this.pixelRatio);return this.images[t]=i,this.copy(n,r,e),i},n.prototype.getPosition=function(t,e){var r=this.getImage(t,e),n=r&&r.rect;if(!n)return null;var i=r.width*r.pixelRatio,a=r.height*r.pixelRatio;return{size:[r.width,r.height],tl:[(n.x+1)/this.width,(n.y+1)/this.height],br:[(n.x+1+i)/this.width,(n.y+1+a)/this.height]}},n.prototype.allocate=function(){if(!this.data){var t=Math.floor(this.width*this.pixelRatio),e=Math.floor(this.height*this.pixelRatio);this.data=new Uint32Array(t*e);for(var r=0;r<this.data.length;r++)this.data[r]=0}},n.prototype.copy=function(t,e,r){if(this.sprite.img.data){var n=new Uint32Array(this.sprite.img.data.buffer);this.allocate();var a=this.data;i(n,this.sprite.img.width,e.x,e.y,a,this.width*this.pixelRatio,(t.x+1)*this.pixelRatio,(t.y+1)*this.pixelRatio,e.width,e.height,r),this.dirty=!0}},n.prototype.setSprite=function(t){t&&(this.pixelRatio=s.devicePixelRatio>1?2:1,this.canvas&&(this.canvas.width=this.width*this.pixelRatio,this.canvas.height=this.height*this.pixelRatio)),this.sprite=t},n.prototype.addIcons=function(t,e){for(var r=0;r<t.length;r++)this.getImage(t[r]);e(null,this.images)},n.prototype.bind=function(t,e){var r=!1;this.texture?t.bindTexture(t.TEXTURE_2D,this.texture):(this.texture=t.createTexture(),t.bindTexture(t.TEXTURE_2D,this.texture),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),r=!0);var n=e?t.LINEAR:t.NEAREST;n!==this.filter&&(t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,n),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,n),this.filter=n),this.dirty&&(this.allocate(),r?t.texImage2D(t.TEXTURE_2D,0,t.RGBA,this.width*this.pixelRatio,this.height*this.pixelRatio,0,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)):t.texSubImage2D(t.TEXTURE_2D,0,0,0,this.width*this.pixelRatio,this.height*this.pixelRatio,t.RGBA,t.UNSIGNED_BYTE,new Uint8Array(this.data.buffer)),this.dirty=!1)}},{"../util/browser":426,"../util/util":442,"shelf-pack":514}],405:[function(t,e,r){"use strict";var n=t("../util/struct_array"),i=t("../util/util"),a=t("point-geometry"),o=e.exports=new n({members:[{type:"Uint16",name:"textBoxStartIndex"},{type:"Uint16",name:"textBoxEndIndex"},{type:"Uint16",name:"iconBoxStartIndex"},{type:"Uint16",name:"iconBoxEndIndex"},{type:"Uint16",name:"glyphQuadStartIndex"},{type:"Uint16",name:"glyphQuadEndIndex"},{type:"Uint16",name:"iconQuadStartIndex"},{type:"Uint16",name:"iconQuadEndIndex"},{type:"Int16",name:"anchorPointX"},{type:"Int16",name:"anchorPointY"},{type:"Int8",name:"index"}]});i.extendAll(o.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}})},{"../util/struct_array":440,"../util/util":442,"point-geometry":484}],406:[function(t,e,r){"use strict";var n=t("../util/struct_array"),i=t("../util/util"),a=t("point-geometry"),o=t("./quads").SymbolQuad,s=e.exports=new n({members:[{type:"Int16",name:"anchorPointX"},{type:"Int16",name:"anchorPointY"},{type:"Float32",name:"tlX"},{type:"Float32",name:"tlY"},{type:"Float32",name:"trX"},{type:"Float32",name:"trY"},{type:"Float32",name:"blX"},{type:"Float32",name:"blY"},{type:"Float32",name:"brX"},{type:"Float32",name:"brY"},{type:"Int16",name:"texH"},{type:"Int16",name:"texW"},{type:"Int16",name:"texX"},{type:"Int16",name:"texY"},{type:"Float32",name:"anchorAngle"},{type:"Float32",name:"glyphAngle"},{type:"Float32",name:"maxScale"},{type:"Float32",name:"minScale"}]});i.extendAll(s.prototype.StructType.prototype,{get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)},get SymbolQuad(){return new o(this.anchorPoint,new a(this.tlX,this.tlY),new a(this.trX,this.trY),new a(this.blX,this.blY),new a(this.brX,this.brY),{x:this.texX,y:this.texY,h:this.texH,w:this.texW,height:this.texH,width:this.texW},this.anchorAngle,this.glyphAngle,this.minScale,this.maxScale)}})},{"../util/struct_array":440,"../util/util":442,"./quads":401,"point-geometry":484}],407:[function(t,e,r){"use strict";var n=t("../util/dom"),i=t("point-geometry"),a={scrollZoom:t("./handler/scroll_zoom"),boxZoom:t("./handler/box_zoom"),dragRotate:t("./handler/drag_rotate"),dragPan:t("./handler/drag_pan"),keyboard:t("./handler/keyboard"),doubleClickZoom:t("./handler/dblclick_zoom"),touchZoomRotate:t("./handler/touch_zoom_rotate")};e.exports=function(t,e){function r(t){g("mouseout",t)}function o(e){t.stop(),_=n.mousePos(b,e),g("mousedown",e)}function s(e){var r=t.dragRotate&&t.dragRotate.isActive();x&&!r&&g("contextmenu",x),x=null,g("mouseup",e)}function l(e){if(!(t.dragPan&&t.dragPan.isActive()||t.dragRotate&&t.dragRotate.isActive())){for(var r=e.toElement||e.target;r&&r!==b;)r=r.parentNode;r===b&&g("mousemove",e)}}function u(e){t.stop(),y("touchstart",e),!e.touches||e.touches.length>1||(w?(clearTimeout(w),w=null,g("dblclick",e)):w=setTimeout(d,300))}function c(t){y("touchmove",t)}function h(t){y("touchend",t)}function f(t){y("touchcancel",t)}function d(){w=null}function p(t){n.mousePos(b,t).equals(_)&&g("click",t)}function m(t){g("dblclick",t),t.preventDefault()}function v(t){x=t,t.preventDefault()}function g(e,r){var i=n.mousePos(b,r);return t.fire(e,{lngLat:t.unproject(i),point:i,originalEvent:r})}function y(e,r){var a=n.touchPos(b,r),o=a.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new i(0,0));return t.fire(e,{lngLat:t.unproject(o),point:o,lngLats:a.map(function(e){return t.unproject(e)},this),points:a,originalEvent:r})}var b=t.getCanvasContainer(),x=null,_=null,w=null;for(var M in a)t[M]=new a[M](t,e),e.interactive&&e[M]&&t[M].enable();b.addEventListener("mouseout",r,!1),b.addEventListener("mousedown",o,!1),b.addEventListener("mouseup",s,!1),b.addEventListener("mousemove",l,!1),b.addEventListener("touchstart",u,!1),b.addEventListener("touchend",h,!1),b.addEventListener("touchmove",c,!1),b.addEventListener("touchcancel",f,!1),b.addEventListener("click",p,!1),b.addEventListener("dblclick",m,!1),b.addEventListener("contextmenu",v,!1)}},{"../util/dom":428,"./handler/box_zoom":413,"./handler/dblclick_zoom":414,"./handler/drag_pan":415,"./handler/drag_rotate":416,"./handler/keyboard":417,"./handler/scroll_zoom":418,"./handler/touch_zoom_rotate":419,"point-geometry":484}],408:[function(t,e,r){"use strict";var n=t("../util/util"),i=t("../util/interpolate"),a=t("../util/browser"),o=t("../geo/lng_lat"),s=t("../geo/lng_lat_bounds"),l=t("point-geometry"),u=e.exports=function(){};n.extend(u.prototype,{getCenter:function(){return this.transform.center},setCenter:function(t,e){return this.jumpTo({center:t},e),this},panBy:function(t,e,r){return this.panTo(this.transform.center,n.extend({offset:l.convert(t).mult(-1)},e),r),this},panTo:function(t,e,r){return this.easeTo(n.extend({center:t},e),r)},getZoom:function(){return this.transform.zoom},setZoom:function(t,e){return this.jumpTo({zoom:t},e),this},zoomTo:function(t,e,r){return this.easeTo(n.extend({zoom:t},e),r)},zoomIn:function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},zoomOut:function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},getBearing:function(){return this.transform.bearing},setBearing:function(t,e){return this.jumpTo({bearing:t},e),this},rotateTo:function(t,e,r){return this.easeTo(n.extend({bearing:t},e),r)},resetNorth:function(t,e){return this.rotateTo(0,n.extend({duration:1e3},t),e),this},snapToNorth:function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},getPitch:function(){return this.transform.pitch},setPitch:function(t,e){return this.jumpTo({pitch:t},e),this},fitBounds:function(t,e,r){e=n.extend({padding:0,offset:[0,0],maxZoom:1/0},e),t=s.convert(t);var i=l.convert(e.offset),a=this.transform,o=a.project(t.getNorthWest()),u=a.project(t.getSouthEast()),c=u.sub(o),h=(a.width-2*e.padding-2*Math.abs(i.x))/c.x,f=(a.height-2*e.padding-2*Math.abs(i.y))/c.y;return e.center=a.unproject(o.add(u).div(2)),e.zoom=Math.min(a.scaleZoom(a.scale*Math.min(h,f)),e.maxZoom),e.bearing=0,e.linear?this.easeTo(e,r):this.flyTo(e,r)},jumpTo:function(t,e){this.stop();var r=this.transform,n=!1,i=!1,a=!1;return"zoom"in t&&r.zoom!==+t.zoom&&(n=!0,r.zoom=+t.zoom),"center"in t&&(r.center=o.convert(t.center)),"bearing"in t&&r.bearing!==+t.bearing&&(i=!0,r.bearing=+t.bearing),"pitch"in t&&r.pitch!==+t.pitch&&(a=!0,r.pitch=+t.pitch),this.fire("movestart",e).fire("move",e),n&&this.fire("zoomstart",e).fire("zoom",e).fire("zoomend",e),i&&this.fire("rotate",e),a&&this.fire("pitch",e),this.fire("moveend",e)},easeTo:function(t,e){this.stop(),t=n.extend({offset:[0,0],duration:500,easing:n.ease},t);var r,a,s=this.transform,u=l.convert(t.offset),c=this.getZoom(),h=this.getBearing(),f=this.getPitch(),d="zoom"in t?+t.zoom:c,p="bearing"in t?this._normalizeBearing(t.bearing,h):h,m="pitch"in t?+t.pitch:f;"center"in t?(r=o.convert(t.center),a=s.centerPoint.add(u)):"around"in t?(r=o.convert(t.around),a=s.locationPoint(r)):(a=s.centerPoint.add(u),r=s.pointLocation(a));var v=s.locationPoint(r);return!1===t.animate&&(t.duration=0),this.zooming=d!==c,this.rotating=h!==p,this.pitching=m!==f,t.noMoveStart||this.fire("movestart",e),this.zooming&&this.fire("zoomstart",e),clearTimeout(this._onEaseEnd),this._ease(function(t){this.zooming&&(s.zoom=i(c,d,t)),this.rotating&&(s.bearing=i(h,p,t)),this.pitching&&(s.pitch=i(f,m,t)),s.setLocationAtPoint(r,v.add(a.sub(v)._mult(t))),this.fire("move",e),this.zooming&&this.fire("zoom",e),this.rotating&&this.fire("rotate",e),this.pitching&&this.fire("pitch",e)},function(){t.delayEndEvents?this._onEaseEnd=setTimeout(this._easeToEnd.bind(this,e),t.delayEndEvents):this._easeToEnd(e)}.bind(this),t),this},_easeToEnd:function(t){var e=this.zooming;this.zooming=!1,this.rotating=!1,this.pitching=!1,e&&this.fire("zoomend",t),this.fire("moveend",t)},flyTo:function(t,e){function r(t){var e=(A*A-k*k+(t?-1:1)*L*L*T*T)/(2*(t?A:k)*L*T);return Math.log(Math.sqrt(e*e+1)-e)}function a(t){return(Math.exp(t)-Math.exp(-t))/2}function s(t){return(Math.exp(t)+Math.exp(-t))/2}function u(t){return a(t)/s(t)}this.stop(),t=n.extend({offset:[0,0],speed:1.2,curve:1.42,easing:n.ease},t);var c=this.transform,h=l.convert(t.offset),f=this.getZoom(),d=this.getBearing(),p=this.getPitch(),m="center"in t?o.convert(t.center):this.getCenter(),v="zoom"in t?+t.zoom:f,g="bearing"in t?this._normalizeBearing(t.bearing,d):d,y="pitch"in t?+t.pitch:p;Math.abs(c.center.lng)+Math.abs(m.lng)>180&&(c.center.lng>0&&m.lng<0?m.lng+=360:c.center.lng<0&&m.lng>0&&(m.lng-=360));var b=c.zoomScale(v-f),x=c.point,_="center"in t?c.project(m).sub(h.div(b)):x,w=c.worldSize,M=t.curve,k=Math.max(c.width,c.height),A=k/b,T=_.sub(x).mag();if("minZoom"in t){var S=n.clamp(Math.min(t.minZoom,f,v),c.minZoom,c.maxZoom),E=k/c.zoomScale(S-f);M=Math.sqrt(E/T*2)}var L=M*M,C=r(0),I=function(t){return s(C)/s(C+M*t)},z=function(t){return k*((s(C)*u(C+M*t)-a(C))/L)/T},D=(r(1)-C)/M;if(Math.abs(T)<1e-6){if(Math.abs(k-A)<1e-6)return this.easeTo(t);var P=A<k?-1:1;D=Math.abs(Math.log(A/k))/M,z=function(){return 0},I=function(t){return Math.exp(P*M*t)}}if("duration"in t)t.duration=+t.duration;else{var O="screenSpeed"in t?+t.screenSpeed/M:+t.speed;t.duration=1e3*D/O}return this.zooming=!0,d!==g&&(this.rotating=!0),p!==y&&(this.pitching=!0),this.fire("movestart",e),this.fire("zoomstart",e),this._ease(function(t){var r=t*D,n=z(r);c.zoom=f+c.scaleZoom(1/I(r)),c.center=c.unproject(x.add(_.sub(x).mult(n)),w),this.rotating&&(c.bearing=i(d,g,t)),this.pitching&&(c.pitch=i(p,y,t)),this.fire("move",e),this.fire("zoom",e),this.rotating&&this.fire("rotate",e),this.pitching&&this.fire("pitch",e)},function(){this.zooming=!1,this.rotating=!1,this.pitching=!1,this.fire("zoomend",e),this.fire("moveend",e)},t),this},isEasing:function(){return!!this._abortFn},stop:function(){return this._abortFn&&(this._abortFn(),this._finishEase()),this},_ease:function(t,e,r){this._finishFn=e,this._abortFn=a.timed(function(e){t.call(this,r.easing(e)),1===e&&this._finishEase()},!1===r.animate?0:r.duration,this)},_finishEase:function(){delete this._abortFn;var t=this._finishFn;delete this._finishFn,t.call(this)},_normalizeBearing:function(t,e){t=n.wrap(t,-180,180);var r=Math.abs(t-e);return Math.abs(t-360-e)<r&&(t-=360),Math.abs(t+360-e)<r&&(t+=360),t},_updateEasing:function(t,e,r){var i;if(this.ease){var a=this.ease,o=(Date.now()-a.start)/a.duration,s=a.easing(o+.01)-a.easing(o),l=.27/Math.sqrt(s*s+1e-4)*.01,u=Math.sqrt(.0729-l*l);i=n.bezier(l,u,.25,1)}else i=r?n.bezier.apply(n,r):n.ease;return this.ease={start:(new Date).getTime(),to:Math.pow(2,e),duration:t,easing:i},i}})},{"../geo/lng_lat":339,"../geo/lng_lat_bounds":340,"../util/browser":426,"../util/interpolate":436,"../util/util":442,"point-geometry":484}],409:[function(t,e,r){"use strict";function n(t){o.setOptions(this,t)}var i=t("./control"),a=t("../../util/dom"),o=t("../../util/util");e.exports=n,n.createAttributionString=function(t){var e=[];for(var r in t){var n=t[r];n.attribution&&e.indexOf(n.attribution)<0&&e.push(n.attribution)}return e.sort(function(t,e){return t.length-e.length}),e=e.filter(function(t,r){for(var n=r+1;n<e.length;n++)if(e[n].indexOf(t)>=0)return!1;return!0}),e.join(" | ")},n.prototype=o.inherit(i,{options:{position:"bottom-right"},onAdd:function(t){var e=this._container=a.create("div","mapboxgl-ctrl-attrib",t.getContainer());return this._update(),t.on("source.load",this._update.bind(this)),t.on("source.change",this._update.bind(this)),t.on("source.remove",this._update.bind(this)),t.on("moveend",this._updateEditLink.bind(this)),e},_update:function(){this._map.style&&(this._container.innerHTML=n.createAttributionString(this._map.style.sources)),this._editLink=this._container.getElementsByClassName("mapbox-improve-map")[0],this._updateEditLink()},_updateEditLink:function(){if(this._editLink){var t=this._map.getCenter();this._editLink.href="https://www.mapbox.com/map-feedback/#/"+t.lng+"/"+t.lat+"/"+Math.round(this._map.getZoom()+1)}}})},{"../../util/dom":428,"../../util/util":442,"./control":410}],410:[function(t,e,r){"use strict";function n(){}var i=t("../../util/util"),a=t("../../util/evented");e.exports=n,n.prototype={addTo:function(t){this._map=t;var e=this._container=this.onAdd(t);if(this.options&&this.options.position){var r=this.options.position,n=t._controlCorners[r];e.className+=" mapboxgl-ctrl",-1!==r.indexOf("bottom")?n.insertBefore(e,n.firstChild):n.appendChild(e)}return this},remove:function(){return this._container.parentNode.removeChild(this._container),this.onRemove&&this.onRemove(this._map),this._map=null,this}},i.extend(n.prototype,a)},{"../../util/evented":434,"../../util/util":442}],411:[function(t,e,r){"use strict";function n(t){s.setOptions(this,t)}var i=t("./control"),a=t("../../util/browser"),o=t("../../util/dom"),s=t("../../util/util");e.exports=n;var l={enableHighAccuracy:!1,timeout:6e3};n.prototype=s.inherit(i,{options:{position:"top-right"},onAdd:function(t){var e=this._container=o.create("div","mapboxgl-ctrl-group",t.getContainer());return a.supportsGeolocation?(this._container.addEventListener("contextmenu",this._onContextMenu.bind(this)),this._geolocateButton=o.create("button","mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate",this._container),this._geolocateButton.type="button",this._geolocateButton.addEventListener("click",this._onClickGeolocate.bind(this)),e):e},_onContextMenu:function(t){t.preventDefault()},_onClickGeolocate:function(){navigator.geolocation.getCurrentPosition(this._success.bind(this),this._error.bind(this),l),this._timeoutId=setTimeout(this._finish.bind(this),1e4)},_success:function(t){this._map.jumpTo({center:[t.coords.longitude,t.coords.latitude],zoom:17,bearing:0,pitch:0}),this.fire("geolocate",t),this._finish()},_error:function(t){this.fire("error",t),this._finish()},_finish:function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0}})},{"../../util/browser":426,"../../util/dom":428,"../../util/util":442,"./control":410}],412:[function(t,e,r){"use strict";function n(t){s.setOptions(this,t)}function i(t){return new MouseEvent(t.type,{button:2,buttons:2,bubbles:!0,cancelable:!0,detail:t.detail,view:t.view,screenX:t.screenX,screenY:t.screenY,clientX:t.clientX,clientY:t.clientY,movementX:t.movementX,movementY:t.movementY,ctrlKey:t.ctrlKey,shiftKey:t.shiftKey,altKey:t.altKey,metaKey:t.metaKey})}var a=t("./control"),o=t("../../util/dom"),s=t("../../util/util");e.exports=n,n.prototype=s.inherit(a,{options:{position:"top-right"},onAdd:function(t){var e="mapboxgl-ctrl",r=this._container=o.create("div",e+"-group",t.getContainer());return this._container.addEventListener("contextmenu",this._onContextMenu.bind(this)),this._zoomInButton=this._createButton(e+"-icon "+e+"-zoom-in",t.zoomIn.bind(t)),this._zoomOutButton=this._createButton(e+"-icon "+e+"-zoom-out",t.zoomOut.bind(t)),this._compass=this._createButton(e+"-icon "+e+"-compass",t.resetNorth.bind(t)),this._compassArrow=o.create("div","arrow",this._compass),this._compass.addEventListener("mousedown",this._onCompassDown.bind(this)),this._onCompassMove=this._onCompassMove.bind(this),this._onCompassUp=this._onCompassUp.bind(this),t.on("rotate",this._rotateCompassArrow.bind(this)),this._rotateCompassArrow(),this._el=t.getCanvasContainer(),r},_onContextMenu:function(t){t.preventDefault()},_onCompassDown:function(t){0===t.button&&(o.disableDrag(),document.addEventListener("mousemove",this._onCompassMove),document.addEventListener("mouseup",this._onCompassUp),this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassMove:function(t){0===t.button&&(this._el.dispatchEvent(i(t)),t.stopPropagation())},_onCompassUp:function(t){0===t.button&&(document.removeEventListener("mousemove",this._onCompassMove),document.removeEventListener("mouseup",this._onCompassUp),o.enableDrag(),this._el.dispatchEvent(i(t)),t.stopPropagation())},_createButton:function(t,e){var r=o.create("button",t,this._container);return r.type="button",r.addEventListener("click",function(){e()}),r},_rotateCompassArrow:function(){var t="rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassArrow.style.transform=t}})},{"../../util/dom":428,"../../util/util":442,"./control":410}],413:[function(t,e,r){"use strict";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),o.bindHandlers(this)}var i=t("../../util/dom"),a=t("../../geo/lng_lat_bounds"),o=t("../../util/util");e.exports=n,n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener("mousedown",this._onMouseDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener("mousedown",this._onMouseDown),this._enabled=!1)},_onMouseDown:function(t){t.shiftKey&&0===t.button&&(document.addEventListener("mousemove",this._onMouseMove,!1),document.addEventListener("keydown",this._onKeyDown,!1),document.addEventListener("mouseup",this._onMouseUp,!1),i.disableDrag(),this._startPos=i.mousePos(this._el,t),this._active=!0)},_onMouseMove:function(t){var e=this._startPos,r=i.mousePos(this._el,t);this._box||(this._box=i.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var n=Math.min(e.x,r.x),a=Math.max(e.x,r.x),o=Math.min(e.y,r.y),s=Math.max(e.y,r.y);i.setTransform(this._box,"translate("+n+"px,"+o+"px)"),this._box.style.width=a-n+"px",this._box.style.height=s-o+"px"},_onMouseUp:function(t){if(0===t.button){var e=this._startPos,r=i.mousePos(this._el,t),n=new a(this._map.unproject(e),this._map.unproject(r));this._finish(),e.x===r.x&&e.y===r.y?this._fireEvent("boxzoomcancel",t):this._map.fitBounds(n,{linear:!0}).fire("boxzoomend",{originalEvent:t,boxZoomBounds:n})}},_onKeyDown:function(t){27===t.keyCode&&(this._finish(),this._fireEvent("boxzoomcancel",t))},_finish:function(){this._active=!1,document.removeEventListener("mousemove",this._onMouseMove,!1),document.removeEventListener("keydown",this._onKeyDown,!1),document.removeEventListener("mouseup",this._onMouseUp,!1),this._container.classList.remove("mapboxgl-crosshair"),this._box&&(this._box.parentNode.removeChild(this._box),this._box=null),i.enableDrag()},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})}}},{"../../geo/lng_lat_bounds":340,"../../util/dom":428,"../../util/util":442}],414:[function(t,e,r){"use strict";function n(t){this._map=t,this._onDblClick=this._onDblClick.bind(this)}e.exports=n,n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._map.on("dblclick",this._onDblClick),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._map.off("dblclick",this._onDblClick),this._enabled=!1)},_onDblClick:function(t){this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)}}},{}],415:[function(t,e,r){"use strict";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t("../../util/dom"),a=t("../../util/util");e.exports=n;var o=a.bezier(0,0,.3,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener("mousedown",this._onDown),this._el.addEventListener("touchstart",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener("mousedown",this._onDown),this._el.removeEventListener("touchstart",this._onDown),this._enabled=!1)},_onDown:function(t){this._ignoreEvent(t)||this.isActive()||(t.touches?(document.addEventListener("touchmove",this._onMove),document.addEventListener("touchend",this._onTouchEnd)):(document.addEventListener("mousemove",this._onMove),document.addEventListener("mouseup",this._onMouseUp)),this._active=!1,this._startPos=this._pos=i.mousePos(this._el,t),this._inertia=[[Date.now(),this._pos]])},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent("dragstart",t),this._fireEvent("movestart",t));var e=i.mousePos(this._el,t),r=this._map;r.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),e]),r.transform.setLocationAtPoint(r.transform.pointLocation(this._pos),e),this._fireEvent("drag",t),this._fireEvent("move",t),this._pos=e,t.preventDefault()}},_onUp:function(t){if(this.isActive()){this._active=!1,this._fireEvent("dragend",t),this._drainInertiaBuffer();var e=function(){this._fireEvent("moveend",t)}.bind(this),r=this._inertia;if(r.length<2)return void e();var n=r[r.length-1],i=r[0],a=n[1].sub(i[1]),s=(n[0]-i[0])/1e3;if(0===s||n[1].equals(i[1]))return void e();var l=a.mult(.3/s),u=l.mag();u>1400&&(u=1400,l._unit()._mult(u));var c=u/750,h=l.mult(-c/2);this._map.panBy(h,{duration:1e3*c,easing:o,noMoveStart:!0},{originalEvent:t})}},_onMouseUp:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener("mousemove",this._onMove),document.removeEventListener("mouseup",this._onMouseUp))},_onTouchEnd:function(t){this._ignoreEvent(t)||(this._onUp(t),document.removeEventListener("touchmove",this._onMove),document.removeEventListener("touchend",this._onTouchEnd))},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragRotate&&e.dragRotate.isActive())return!0;if(t.touches)return t.touches.length>1;if(t.ctrlKey)return!0;return"mousemove"===t.type?!1&t.buttons:0!==t.button},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{"../../util/dom":428,"../../util/util":442}],416:[function(t,e,r){"use strict";function n(t,e){this._map=t,this._el=t.getCanvasContainer(),this._bearingSnap=e.bearingSnap,o.bindHandlers(this)}var i=t("../../util/dom"),a=t("point-geometry"),o=t("../../util/util");e.exports=n;var s=o.bezier(0,0,.25,1);n.prototype={_enabled:!1,_active:!1,isEnabled:function(){return this._enabled},isActive:function(){return this._active},enable:function(){this.isEnabled()||(this._el.addEventListener("mousedown",this._onDown),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener("mousedown",this._onDown),this._enabled=!1)},_onDown:function(t){if(!this._ignoreEvent(t)&&!this.isActive()){document.addEventListener("mousemove",this._onMove),document.addEventListener("mouseup",this._onUp),this._active=!1,this._inertia=[[Date.now(),this._map.getBearing()]],this._startPos=this._pos=i.mousePos(this._el,t),this._center=this._map.transform.centerPoint;var e=this._startPos.sub(this._center);e.mag()<200&&(this._center=this._startPos.add(new a(-200,0)._rotate(e.angle()))),t.preventDefault()}},_onMove:function(t){if(!this._ignoreEvent(t)){this.isActive()||(this._active=!0,this._fireEvent("rotatestart",t),this._fireEvent("movestart",t));var e=this._map;e.stop();var r=this._pos,n=i.mousePos(this._el,t),a=this._center,o=r.sub(a).angleWith(n.sub(a))/Math.PI*180,s=e.getBearing()-o,l=this._inertia,u=l[l.length-1];this._drainInertiaBuffer(),l.push([Date.now(),e._normalizeBearing(s,u[1])]),e.transform.bearing=s,this._fireEvent("rotate",t),this._fireEvent("move",t),this._pos=n}},_onUp:function(t){if(!this._ignoreEvent(t)&&(document.removeEventListener("mousemove",this._onMove),document.removeEventListener("mouseup",this._onUp),this.isActive())){this._active=!1,this._fireEvent("rotateend",t),this._drainInertiaBuffer();var e=this._map,r=e.getBearing(),n=this._inertia,i=function(){Math.abs(r)<this._bearingSnap?e.resetNorth({noMoveStart:!0},{originalEvent:t}):this._fireEvent("moveend",t)}.bind(this);if(n.length<2)return void i();var a=n[0],o=n[n.length-1],l=n[n.length-2],u=e._normalizeBearing(r,l[1]),c=o[1]-a[1],h=c<0?-1:1,f=(o[0]-a[0])/1e3;if(0===c||0===f)return void i();var d=Math.abs(c*(.25/f));d>180&&(d=180);var p=d/180;u+=h*d*(p/2),Math.abs(e._normalizeBearing(u,0))<this._bearingSnap&&(u=e._normalizeBearing(0,u)),e.rotateTo(u,{duration:1e3*p,easing:s,noMoveStart:!0},{originalEvent:t})}},_fireEvent:function(t,e){return this._map.fire(t,{originalEvent:e})},_ignoreEvent:function(t){var e=this._map;if(e.boxZoom&&e.boxZoom.isActive())return!0;if(e.dragPan&&e.dragPan.isActive())return!0;if(t.touches)return t.touches.length>1;var r=t.ctrlKey?1:2,n=t.ctrlKey?0:2;return"mousemove"===t.type?t.buttons&0===r:t.button!==n},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>0&&e-t[0][0]>160;)t.shift()}}},{"../../util/dom":428,"../../util/util":442,"point-geometry":484}],417:[function(t,e,r){"use strict";function n(t){this._map=t,this._el=t.getCanvasContainer(),this._onKeyDown=this._onKeyDown.bind(this)}e.exports=n;n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener("keydown",this._onKeyDown,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener("keydown",this._onKeyDown),this._enabled=!1)},_onKeyDown:function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=this._map,r={originalEvent:t};if(!e.isEasing())switch(t.keyCode){case 61:case 107:case 171:case 187:e.zoomTo(Math.round(e.getZoom())+(t.shiftKey?2:1),r);break;case 189:case 109:case 173:e.zoomTo(Math.round(e.getZoom())-(t.shiftKey?2:1),r);break;case 37:t.shiftKey?e.easeTo({bearing:e.getBearing()-2},r):(t.preventDefault(),e.panBy([-80,0],r));break;case 39:t.shiftKey?e.easeTo({bearing:e.getBearing()+2},r):(t.preventDefault(),e.panBy([80,0],r));break;case 38:t.shiftKey?e.easeTo({pitch:e.getPitch()+5},r):(t.preventDefault(),e.panBy([0,-80],r));break;case 40:t.shiftKey?e.easeTo({pitch:Math.max(e.getPitch()-5,0)},r):(t.preventDefault(),e.panBy([0,80],r))}}}}},{}],418:[function(t,e,r){"use strict";function n(t){this._map=t,this._el=t.getCanvasContainer(),o.bindHandlers(this)}var i=t("../../util/dom"),a=t("../../util/browser"),o=t("../../util/util");e.exports=n;var s="undefined"!=typeof navigator?navigator.userAgent.toLowerCase():"",l=-1!==s.indexOf("firefox"),u=-1!==s.indexOf("safari")&&-1===s.indexOf("chrom");n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener("wheel",this._onWheel,!1),this._el.addEventListener("mousewheel",this._onWheel,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener("wheel",this._onWheel),this._el.removeEventListener("mousewheel",this._onWheel),this._enabled=!1)},_onWheel:function(t){var e;"wheel"===t.type?(e=t.deltaY,l&&t.deltaMode===window.WheelEvent.DOM_DELTA_PIXEL&&(e/=a.devicePixelRatio),t.deltaMode===window.WheelEvent.DOM_DELTA_LINE&&(e*=40)):"mousewheel"===t.type&&(e=-t.wheelDeltaY,u&&(e/=3));var r=a.now(),n=r-(this._time||0);this._pos=i.mousePos(this._el,t),this._time=r,0!==e&&e%4.000244140625==0?(this._type="wheel",e=Math.floor(e/4)):0!==e&&Math.abs(e)<4?this._type="trackpad":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40)):this._type||(this._type=Math.abs(n*e)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&this._zoom(-e,t),t.preventDefault()},_onTimeout:function(){this._type="wheel",this._zoom(-this._lastValue)},_zoom:function(t,e){if(0!==t){var r=this._map,n=2/(1+Math.exp(-Math.abs(t/100)));t<0&&0!==n&&(n=1/n);var i=r.ease?r.ease.to:r.transform.scale,a=r.transform.scaleZoom(i*n);r.zoomTo(a,{duration:0,around:r.unproject(this._pos),delayEndEvents:200},{originalEvent:e})}}}},{"../../util/browser":426,"../../util/dom":428,"../../util/util":442}],419:[function(t,e,r){"use strict";function n(t){this._map=t,this._el=t.getCanvasContainer(),a.bindHandlers(this)}var i=t("../../util/dom"),a=t("../../util/util");e.exports=n;var o=a.bezier(0,0,.15,1);n.prototype={_enabled:!1,isEnabled:function(){return this._enabled},enable:function(){this.isEnabled()||(this._el.addEventListener("touchstart",this._onStart,!1),this._enabled=!0)},disable:function(){this.isEnabled()&&(this._el.removeEventListener("touchstart",this._onStart),this._enabled=!1)},disableRotation:function(){this._rotationDisabled=!0},enableRotation:function(){this._rotationDisabled=!1},_onStart:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]);this._startVec=e.sub(r),this._startScale=this._map.transform.scale,this._startBearing=this._map.transform.bearing,this._gestureIntent=void 0,this._inertia=[], -document.addEventListener("touchmove",this._onMove,!1),document.addEventListener("touchend",this._onEnd,!1)}},_onMove:function(t){if(2===t.touches.length){var e=i.mousePos(this._el,t.touches[0]),r=i.mousePos(this._el,t.touches[1]),n=e.add(r).div(2),a=e.sub(r),o=a.mag()/this._startVec.mag(),s=this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI,l=this._map;if(this._gestureIntent){var u={duration:0,around:l.unproject(n)};"rotate"===this._gestureIntent&&(u.bearing=this._startBearing+s),"zoom"!==this._gestureIntent&&"rotate"!==this._gestureIntent||(u.zoom=l.transform.scaleZoom(this._startScale*o)),l.stop(),this._drainInertiaBuffer(),this._inertia.push([Date.now(),o,n]),l.easeTo(u,{originalEvent:t})}else{var c=Math.abs(1-o)>.15;Math.abs(s)>4?this._gestureIntent="rotate":c&&(this._gestureIntent="zoom"),this._gestureIntent&&(this._startVec=a,this._startScale=l.transform.scale,this._startBearing=l.transform.bearing)}t.preventDefault()}},_onEnd:function(t){document.removeEventListener("touchmove",this._onMove),document.removeEventListener("touchend",this._onEnd),this._drainInertiaBuffer();var e=this._inertia,r=this._map;if(e.length<2)return void r.snapToNorth({},{originalEvent:t});var n=e[e.length-1],i=e[0],a=r.transform.scaleZoom(this._startScale*n[1]),s=r.transform.scaleZoom(this._startScale*i[1]),l=a-s,u=(n[0]-i[0])/1e3,c=n[2];if(0===u||a===s)return void r.snapToNorth({},{originalEvent:t});var h=.15*l/u;Math.abs(h)>2.5&&(h=h>0?2.5:-2.5);var f=1e3*Math.abs(h/(12*.15)),d=a+h*f/2e3;d<0&&(d=0),r.easeTo({zoom:d,duration:f,easing:o,around:r.unproject(c)},{originalEvent:t})},_drainInertiaBuffer:function(){for(var t=this._inertia,e=Date.now();t.length>2&&e-t[0][0]>160;)t.shift()}}},{"../../util/dom":428,"../../util/util":442}],420:[function(t,e,r){"use strict";function n(){i.bindAll(["_onHashChange","_updateHash"],this)}e.exports=n;var i=t("../util/util");n.prototype={addTo:function(t){return this._map=t,window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},remove:function(){return window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),delete this._map,this},_onHashChange:function(){var t=location.hash.replace("#","").split("/");return t.length>=3&&(this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:+(t[3]||0)}),!0)},_updateHash:function(){var t=this._map.getCenter(),e=this._map.getZoom(),r=this._map.getBearing(),n=Math.max(0,Math.ceil(Math.log(e)/Math.LN2)),i="#"+Math.round(100*e)/100+"/"+t.lat.toFixed(n)+"/"+t.lng.toFixed(n)+(r?"/"+Math.round(10*r)/10:"");window.history.replaceState("","",i)}}},{"../util/util":442}],421:[function(t,e,r){"use strict";function n(t){t.parentNode&&t.parentNode.removeChild(t)}var i=t("../util/canvas"),a=t("../util/util"),o=t("../util/browser"),s=t("../util/browser").window,l=t("../util/evented"),u=t("../util/dom"),c=t("../style/style"),h=t("../style/animation_loop"),f=t("../render/painter"),d=t("../geo/transform"),p=t("./hash"),m=t("./bind_handlers"),v=t("./camera"),g=t("../geo/lng_lat"),y=t("../geo/lng_lat_bounds"),b=t("point-geometry"),x=t("./control/attribution"),_={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:20,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,workerCount:Math.max(o.hardwareConcurrency-1,1)},w=e.exports=function(t){if(t=a.extend({},_,t),t.workerCount<1)throw new Error("workerCount must an integer greater than or equal to 1.");this._interactive=t.interactive,this._failIfMajorPerformanceCaveat=t.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=t.preserveDrawingBuffer,this._trackResize=t.trackResize,this._workerCount=t.workerCount,this._bearingSnap=t.bearingSnap,"string"==typeof t.container?this._container=document.getElementById(t.container):this._container=t.container,this.animationLoop=new h,this.transform=new d(t.minZoom,t.maxZoom),t.maxBounds&&this.setMaxBounds(t.maxBounds),a.bindAll(["_forwardStyleEvent","_forwardSourceEvent","_forwardLayerEvent","_forwardTileEvent","_onStyleLoad","_onStyleChange","_onSourceAdd","_onSourceRemove","_onSourceUpdate","_onWindowOnline","_onWindowResize","_update","_render"],this),this._setupContainer(),this._setupPainter(),this.on("move",this._update.bind(this,!1)),this.on("zoom",this._update.bind(this,!0)),this.on("moveend",function(){this.animationLoop.set(300),this._rerender()}.bind(this)),void 0!==s&&(s.addEventListener("online",this._onWindowOnline,!1),s.addEventListener("resize",this._onWindowResize,!1)),m(this,t),this._hash=t.hash&&(new p).addTo(this),this._hash&&this._hash._onHashChange()||this.jumpTo({center:t.center,zoom:t.zoom,bearing:t.bearing,pitch:t.pitch}),this.stacks={},this._classes=[],this.resize(),t.classes&&this.setClasses(t.classes),t.style&&this.setStyle(t.style),t.attributionControl&&this.addControl(new x(t.attributionControl));var e=this.fire.bind(this,"error");this.on("style.error",e),this.on("source.error",e),this.on("tile.error",e),this.on("layer.error",e)};a.extend(w.prototype,l),a.extend(w.prototype,v.prototype),a.extend(w.prototype,{addControl:function(t){return t.addTo(this),this},addClass:function(t,e){return this._classes.indexOf(t)>=0||""===t?this:(this._classes.push(t),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},removeClass:function(t,e){var r=this._classes.indexOf(t);return r<0||""===t?this:(this._classes.splice(r,1),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0))},setClasses:function(t,e){for(var r={},n=0;n<t.length;n++)""!==t[n]&&(r[t[n]]=!0);return this._classes=Object.keys(r),this._classOptions=e,this.style&&this.style.updateClasses(),this._update(!0)},hasClass:function(t){return this._classes.indexOf(t)>=0},getClasses:function(){return this._classes},resize:function(){var t=0,e=0;return this._container&&(t=this._container.offsetWidth||400,e=this._container.offsetHeight||300),this._canvas.resize(t,e),this.transform.resize(t,e),this.painter.resize(t,e),this.fire("movestart").fire("move").fire("resize").fire("moveend")},getBounds:function(){var t=new y(this.transform.pointLocation(new b(0,0)),this.transform.pointLocation(this.transform.size));return(this.transform.angle||this.transform.pitch)&&(t.extend(this.transform.pointLocation(new b(this.transform.size.x,0))),t.extend(this.transform.pointLocation(new b(0,this.transform.size.y)))),t},setMaxBounds:function(t){if(t){var e=y.convert(t);this.transform.lngRange=[e.getWest(),e.getEast()],this.transform.latRange=[e.getSouth(),e.getNorth()],this.transform._constrain(),this._update()}else null!==t&&void 0!==t||(this.transform.lngRange=[],this.transform.latRange=[],this._update());return this},setMinZoom:function(t){if((t=null===t||void 0===t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between 0 and the current maxZoom, inclusive")},setMaxZoom:function(t){if((t=null===t||void 0===t?20:t)>=this.transform.minZoom&&t<=20)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be between the current minZoom and 20, inclusive")},project:function(t){return this.transform.locationPoint(g.convert(t))},unproject:function(t){return this.transform.pointLocation(b.convert(t))},queryRenderedFeatures:function(){var t,e={};return 2===arguments.length?(t=arguments[0],e=arguments[1]):1===arguments.length&&function(t){return t instanceof b||Array.isArray(t)}(arguments[0])?t=arguments[0]:1===arguments.length&&(e=arguments[0]),this.style.queryRenderedFeatures(this._makeQueryGeometry(t),e,this.transform.zoom,this.transform.angle)},_makeQueryGeometry:function(t){void 0===t&&(t=[b.convert([0,0]),b.convert([this.transform.width,this.transform.height])]);var e;if(t instanceof b||"number"==typeof t[0])e=[b.convert(t)];else{var r=[b.convert(t[0]),b.convert(t[1])];e=[r[0],new b(r[1].x,r[0].y),r[1],new b(r[0].x,r[1].y),r[0]]}return e=e.map(function(t){return this.transform.pointCoordinate(t)}.bind(this))},querySourceFeatures:function(t,e){return this.style.querySourceFeatures(t,e)},setStyle:function(t){return this.style&&(this.style.off("load",this._onStyleLoad).off("error",this._forwardStyleEvent).off("change",this._onStyleChange).off("source.add",this._onSourceAdd).off("source.remove",this._onSourceRemove).off("source.load",this._onSourceUpdate).off("source.error",this._forwardSourceEvent).off("source.change",this._onSourceUpdate).off("layer.add",this._forwardLayerEvent).off("layer.remove",this._forwardLayerEvent).off("layer.error",this._forwardLayerEvent).off("tile.add",this._forwardTileEvent).off("tile.remove",this._forwardTileEvent).off("tile.load",this._update).off("tile.error",this._forwardTileEvent).off("tile.stats",this._forwardTileEvent)._remove(),this.off("rotate",this.style._redoPlacement),this.off("pitch",this.style._redoPlacement)),t?(this.style=t instanceof c?t:new c(t,this.animationLoop,this._workerCount),this.style.on("load",this._onStyleLoad).on("error",this._forwardStyleEvent).on("change",this._onStyleChange).on("source.add",this._onSourceAdd).on("source.remove",this._onSourceRemove).on("source.load",this._onSourceUpdate).on("source.error",this._forwardSourceEvent).on("source.change",this._onSourceUpdate).on("layer.add",this._forwardLayerEvent).on("layer.remove",this._forwardLayerEvent).on("layer.error",this._forwardLayerEvent).on("tile.add",this._forwardTileEvent).on("tile.remove",this._forwardTileEvent).on("tile.load",this._update).on("tile.error",this._forwardTileEvent).on("tile.stats",this._forwardTileEvent),this.on("rotate",this.style._redoPlacement),this.on("pitch",this.style._redoPlacement),this):(this.style=null,this)},getStyle:function(){if(this.style)return this.style.serialize()},addSource:function(t,e){return this.style.addSource(t,e),this._update(!0),this},addSourceType:function(t,e,r){return this.style.addSourceType(t,e,r)},removeSource:function(t){return this.style.removeSource(t),this._update(!0),this},getSource:function(t){return this.style.getSource(t)},addLayer:function(t,e){return this.style.addLayer(t,e),this._update(!0),this},removeLayer:function(t){return this.style.removeLayer(t),this._update(!0),this},getLayer:function(t){return this.style.getLayer(t)},setFilter:function(t,e){return this.style.setFilter(t,e),this._update(!0),this},setLayerZoomRange:function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0),this},getFilter:function(t){return this.style.getFilter(t)},setPaintProperty:function(t,e,r,n){return this.style.setPaintProperty(t,e,r,n),this._update(!0),this},getPaintProperty:function(t,e,r){return this.style.getPaintProperty(t,e,r)},setLayoutProperty:function(t,e,r){return this.style.setLayoutProperty(t,e,r),this._update(!0),this},getLayoutProperty:function(t,e){return this.style.getLayoutProperty(t,e)},getContainer:function(){return this._container},getCanvasContainer:function(){return this._canvasContainer},getCanvas:function(){return this._canvas.getElement()},_setupContainer:function(){var t=this._container;t.classList.add("mapboxgl-map");var e=this._canvasContainer=u.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=new i(this,e);var r=this._controlContainer=u.create("div","mapboxgl-control-container",t),n=this._controlCorners={};["top-left","top-right","bottom-left","bottom-right"].forEach(function(t){n[t]=u.create("div","mapboxgl-ctrl-"+t,r)})},_setupPainter:function(){var t=this._canvas.getWebGLContext({failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer});if(!t)return void this.fire("error",{error:new Error("Failed to initialize WebGL")});this.painter=new f(t,this.transform)},_contextLost:function(t){t.preventDefault(),this._frameId&&o.cancelFrame(this._frameId),this.fire("webglcontextlost",{originalEvent:t})},_contextRestored:function(t){this._setupPainter(),this.resize(),this._update(),this.fire("webglcontextrestored",{originalEvent:t})},loaded:function(){return!this._styleDirty&&!this._sourcesDirty&&!(!this.style||!this.style.loaded())},_update:function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this._rerender(),this):this},_render:function(){try{this.style&&this._styleDirty&&(this._styleDirty=!1,this.style.update(this._classes,this._classOptions),this._classOptions=null,this.style._recalculate(this.transform.zoom)),this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.painter.render(this.style,{debug:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,vertices:this.vertices,rotating:this.rotating,zooming:this.zooming}),this.fire("render"),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire("load")),this._frameId=null,this.animationLoop.stopped()||(this._styleDirty=!0),(this._sourcesDirty||this._repaint||this._styleDirty)&&this._rerender()}catch(t){this.fire("error",{error:t})}return this},remove:function(){this._hash&&this._hash.remove(),o.cancelFrame(this._frameId),this.setStyle(null),void 0!==s&&s.removeEventListener("resize",this._onWindowResize,!1);var t=this.painter.gl.getExtension("WEBGL_lose_context");t&&t.loseContext(),n(this._canvasContainer),n(this._controlContainer),this._container.classList.remove("mapboxgl-map")},_rerender:function(){this.style&&!this._frameId&&(this._frameId=o.frame(this._render))},_forwardStyleEvent:function(t){this.fire("style."+t.type,a.extend({style:t.target},t))},_forwardSourceEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardLayerEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_forwardTileEvent:function(t){this.fire(t.type,a.extend({style:t.target},t))},_onStyleLoad:function(t){this.transform.unmodified&&this.jumpTo(this.style.stylesheet),this.style.update(this._classes,{transition:!1}),this._forwardStyleEvent(t)},_onStyleChange:function(t){this._update(!0),this._forwardStyleEvent(t)},_onSourceAdd:function(t){var e=t.source;e.onAdd&&e.onAdd(this),this._forwardSourceEvent(t)},_onSourceRemove:function(t){var e=t.source;e.onRemove&&e.onRemove(this),this._forwardSourceEvent(t)},_onSourceUpdate:function(t){this._update(),this._forwardSourceEvent(t)},_onWindowOnline:function(){this._update()},_onWindowResize:function(){this._trackResize&&this.stop().resize()._update()}}),a.extendAll(w.prototype,{_showTileBoundaries:!1,get showTileBoundaries(){return this._showTileBoundaries},set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},_showCollisionBoxes:!1,get showCollisionBoxes(){return this._showCollisionBoxes},set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,this.style._redoPlacement())},_showOverdrawInspector:!1,get showOverdrawInspector(){return this._showOverdrawInspector},set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},_repaint:!1,get repaint(){return this._repaint},set repaint(t){this._repaint=t,this._update()},_vertices:!1,get vertices(){return this._vertices},set vertices(t){this._vertices=t,this._update()}})},{"../geo/lng_lat":339,"../geo/lng_lat_bounds":340,"../geo/transform":341,"../render/painter":355,"../style/animation_loop":375,"../style/style":378,"../util/browser":426,"../util/canvas":427,"../util/dom":428,"../util/evented":434,"../util/util":442,"./bind_handlers":407,"./camera":408,"./control/attribution":409,"./hash":420,"point-geometry":484}],422:[function(t,e,r){"use strict";function n(t,e){t||(t=i.create("div")),t.classList.add("mapboxgl-marker"),this._el=t,this._offset=o.convert(e&&e.offset||[0,0]),this._update=this._update.bind(this)}e.exports=n;var i=t("../util/dom"),a=t("../geo/lng_lat"),o=t("point-geometry");n.prototype={addTo:function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._el),t.on("move",this._update),this._update(),this},remove:function(){this._map&&(this._map.off("move",this._update),this._map=null);var t=this._el.parentNode;return t&&t.removeChild(this._el),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=a.convert(t),this._update(),this},getElement:function(){return this._el},_update:function(){if(this._map){var t=this._map.project(this._lngLat)._add(this._offset);i.setTransform(this._el,"translate("+t.x+"px,"+t.y+"px)")}}}},{"../geo/lng_lat":339,"../util/dom":428,"point-geometry":484}],423:[function(t,e,r){"use strict";function n(t){i.setOptions(this,t),i.bindAll(["_update","_onClickClose"],this)}e.exports=n;var i=t("../util/util"),a=t("../util/evented"),o=t("../util/dom"),s=t("../geo/lng_lat");n.prototype=i.inherit(a,{options:{closeButton:!0,closeOnClick:!0},addTo:function(t){return this._map=t,this._map.on("move",this._update),this.options.closeOnClick&&this._map.on("click",this._onClickClose),this._update(),this},remove:function(){return this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._container&&(this._container.parentNode.removeChild(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("click",this._onClickClose),delete this._map),this.fire("close"),this},getLngLat:function(){return this._lngLat},setLngLat:function(t){return this._lngLat=s.convert(t),this._update(),this},setText:function(t){return this.setDOMContent(document.createTextNode(t))},setHTML:function(t){var e,r=document.createDocumentFragment(),n=document.createElement("body");for(n.innerHTML=t;;){if(!(e=n.firstChild))break;r.appendChild(e)}return this.setDOMContent(r)},setDOMContent:function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},_createContent:function(){this._content&&this._content.parentNode&&this._content.parentNode.removeChild(this._content),this._content=o.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=o.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.innerHTML="×",this._closeButton.addEventListener("click",this._onClickClose))},_update:function(){if(this._map&&this._lngLat&&this._content){this._container||(this._container=o.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=o.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content));var t=this._map.project(this._lngLat).round(),e=this.options.anchor;if(!e){var r=this._container.offsetWidth,n=this._container.offsetHeight;e=t.y<n?["top"]:t.y>this._map.transform.height-n?["bottom"]:[],t.x<r/2?e.push("left"):t.x>this._map.transform.width-r/2&&e.push("right"),e=0===e.length?"bottom":e.join("-")}var i={top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"},a=this._container.classList;for(var s in i)a.remove("mapboxgl-popup-anchor-"+s);a.add("mapboxgl-popup-anchor-"+e),o.setTransform(this._container,i[e]+" translate("+t.x+"px,"+t.y+"px)")}},_onClickClose:function(){this.remove()}})},{"../geo/lng_lat":339,"../util/dom":428,"../util/evented":434,"../util/util":442}],424:[function(t,e,r){"use strict";function n(t,e){this.target=t,this.parent=e,this.callbacks={},this.callbackID=0,this.receive=this.receive.bind(this),this.target.addEventListener("message",this.receive,!1)}e.exports=n,n.prototype.receive=function(t){function e(t,e,r){this.postMessage({type:"<response>",id:String(i),error:t?String(t):null,data:e},r)}var r,n=t.data,i=n.id;if("<response>"===n.type)r=this.callbacks[n.id],delete this.callbacks[n.id],r&&r(n.error||null,n.data);else if(void 0!==n.id&&this.parent[n.type])this.parent[n.type](n.data,e.bind(this));else if(void 0!==n.id&&this.parent.workerSources){var a=n.type.split(".");this.parent.workerSources[a[0]][a[1]](n.data,e.bind(this))}else this.parent[n.type](n.data)},n.prototype.send=function(t,e,r,n){var i=null;r&&(this.callbacks[i=this.callbackID++]=r),this.postMessage({type:t,id:String(i),data:e},n)},n.prototype.postMessage=function(t,e){this.target.postMessage(t,e)}},{}],425:[function(t,e,r){"use strict";function n(t){var e=document.createElement("a");return e.href=t,e.protocol===document.location.protocol&&e.host===document.location.host}r.getJSON=function(t,e){var r=new XMLHttpRequest;return r.open("GET",t,!0),r.setRequestHeader("Accept","application/json"),r.onerror=function(t){e(t)},r.onload=function(){if(r.status>=200&&r.status<300&&r.response){var t;try{t=JSON.parse(r.response)}catch(t){return e(t)}e(null,t)}else e(new Error(r.statusText))},r.send(),r},r.getArrayBuffer=function(t,e){var r=new XMLHttpRequest;return r.open("GET",t,!0),r.responseType="arraybuffer",r.onerror=function(t){e(t)},r.onload=function(){r.status>=200&&r.status<300&&r.response?e(null,r.response):e(new Error(r.statusText))},r.send(),r},r.getImage=function(t,e){return r.getArrayBuffer(t,function(t,r){if(t)return e(t);var n=new Image;n.onload=function(){e(null,n),(window.URL||window.webkitURL).revokeObjectURL(n.src)};var i=new Blob([new Uint8Array(r)],{type:"image/png"});return n.src=(window.URL||window.webkitURL).createObjectURL(i),n.getData=function(){var t=document.createElement("canvas"),e=t.getContext("2d");return t.width=n.width,t.height=n.height,e.drawImage(n,0,0),e.getImageData(0,0,n.width,n.height).data},n})},r.getVideo=function(t,e){var r=document.createElement("video");r.onloadstart=function(){e(null,r)};for(var i=0;i<t.length;i++){var a=document.createElement("source");n(t[i])||(r.crossOrigin="Anonymous"),a.src=t[i],r.appendChild(a)}return r.getData=function(){return r},r}},{}],426:[function(t,e,r){"use strict";r.window=window,e.exports.now=function(){return window.performance&&window.performance.now?window.performance.now.bind(window.performance):Date.now.bind(Date)}();var n=window.requestAnimationFrame||window.mozRequestAnimationFrame||window.webkitRequestAnimationFrame||window.msRequestAnimationFrame;r.frame=function(t){return n(t)};var i=window.cancelAnimationFrame||window.mozCancelAnimationFrame||window.webkitCancelAnimationFrame||window.msCancelAnimationFrame;r.cancelFrame=function(t){i(t)},r.timed=function(t,n,i){function a(l){o||(l=e.exports.now(),l>=s+n?t.call(i,1):(t.call(i,(l-s)/n),r.frame(a)))}if(!n)return t.call(i,1),null;var o=!1,s=e.exports.now();return r.frame(a),function(){o=!0}},r.supported=t("mapbox-gl-supported"),r.hardwareConcurrency=navigator.hardwareConcurrency||4,Object.defineProperty(r,"devicePixelRatio",{get:function(){return window.devicePixelRatio}}),r.supportsWebp=!1;var a=document.createElement("img");a.onload=function(){r.supportsWebp=!0},a.src="data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=",r.supportsGeolocation=!!navigator.geolocation},{"mapbox-gl-supported":327}],427:[function(t,e,r){"use strict";function n(t,e){this.canvas=document.createElement("canvas"),t&&e&&(this.canvas.style.position="absolute",this.canvas.classList.add("mapboxgl-canvas"),this.canvas.addEventListener("webglcontextlost",t._contextLost.bind(t),!1),this.canvas.addEventListener("webglcontextrestored",t._contextRestored.bind(t),!1),this.canvas.setAttribute("tabindex",0),e.appendChild(this.canvas))}var i=t("../util"),a=t("mapbox-gl-supported");e.exports=n,n.prototype.resize=function(t,e){var r=window.devicePixelRatio||1;this.canvas.width=r*t,this.canvas.height=r*e,this.canvas.style.width=t+"px",this.canvas.style.height=e+"px"},n.prototype.getWebGLContext=function(t){return t=i.extend({},t,a.webGLContextAttributes),this.canvas.getContext("webgl",t)||this.canvas.getContext("experimental-webgl",t)},n.prototype.getElement=function(){return this.canvas}},{"../util":442,"mapbox-gl-supported":327}],428:[function(t,e,r){"use strict";function n(t){for(var e=0;e<t.length;e++)if(t[e]in s)return t[e]}function i(t){t.preventDefault(),t.stopPropagation(),window.removeEventListener("click",i,!0)}var a=t("point-geometry");r.create=function(t,e,r){var n=document.createElement(t);return e&&(n.className=e),r&&r.appendChild(n),n};var o,s=document.documentElement.style,l=n(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){l&&(o=s[l],s[l]="none")},r.enableDrag=function(){l&&(s[l]=o)};var u=n(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[u]=e},r.suppressClick=function(){window.addEventListener("click",i,!0),window.setTimeout(function(){window.removeEventListener("click",i,!0)},0)},r.mousePos=function(t,e){var r=t.getBoundingClientRect();return e=e.touches?e.touches[0]:e,new a(e.clientX-r.left-t.clientLeft,e.clientY-r.top-t.clientTop)},r.touchPos=function(t,e){for(var r=t.getBoundingClientRect(),n=[],i=0;i<e.touches.length;i++)n.push(new a(e.touches[i].clientX-r.left-t.clientLeft,e.touches[i].clientY-r.top-t.clientTop));return n}},{"point-geometry":484}],429:[function(t,e,r){"use strict";var n=t("webworkify");e.exports=function(){return new n(t("../../source/worker"))}},{"../../source/worker":373,webworkify:564}],430:[function(t,e,r){"use strict";function n(t,e){return e.area-t.area}function i(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],r=t[o],n+=(r.x-e.x)*(e.y+r.y);return n}var a=t("quickselect");e.exports=function(t,e){var r=t.length;if(r<=1)return[t];for(var o,s,l=[],u=0;u<r;u++){var c=i(t[u]);0!==c&&(t[u].area=Math.abs(c),void 0===s&&(s=c<0),s===c<0?(o&&l.push(o),o=[t[u]]):o.push(t[u]))}if(o&&l.push(o),e>1)for(var h=0;h<l.length;h++)l[h].length<=e||(a(l[h],e,1,l[h].length-1,n),l[h]=l[h].slice(0,e));return l}},{quickselect:493}],431:[function(t,e,r){"use strict";e.exports={API_URL:"https://api.mapbox.com",REQUIRE_ACCESS_TOKEN:!0}},{}],432:[function(t,e,r){"use strict";function n(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}}var i=t("assert");e.exports=n,n.prototype.encode=function(t){return i(t in this._stringToNumber),this._stringToNumber[t]},n.prototype.decode=function(t){return i(t<this._numberToString.length),this._numberToString[t]}},{assert:47}],433:[function(t,e,r){"use strict";function n(t,e){this.actors=[],this.currentActor=0;for(var r=0;r<t;r++){var n=new o,i=new a(n,e);i.name="Worker "+r,this.actors.push(i)}}var i=t("./util"),a=t("./actor"),o=t("./web_worker");e.exports=n,n.prototype={broadcast:function(t,e,r){r=r||function(){},i.asyncAll(this.actors,function(r,n){r.send(t,e,n)},r)},send:function(t,e,r,n,i){return("number"!=typeof n||isNaN(n))&&(n=this.currentActor=(this.currentActor+1)%this.actors.length),this.actors[n].send(t,e,r,i),n},remove:function(){for(var t=0;t<this.actors.length;t++)this.actors[t].target.terminate();this.actors=[]}}},{"./actor":424,"./util":442,"./web_worker":429}],434:[function(t,e,r){"use strict";var n=t("./util"),i={on:function(t,e){return this._events=this._events||{},this._events[t]=this._events[t]||[],this._events[t].push(e),this},off:function(t,e){if(!t)return delete this._events,this;if(!this.listens(t))return this;if(e){var r=this._events[t].indexOf(e);r>=0&&this._events[t].splice(r,1),this._events[t].length||delete this._events[t]}else delete this._events[t];return this},once:function(t,e){var r=function(n){this.off(t,r),e.call(this,n)}.bind(this);return this.on(t,r),this},fire:function(t,e){if(!this.listens(t))return n.endsWith(t,"error")&&console.error(e&&e.error||e||"Empty error event"),this;e=n.extend({},e),n.extend(e,{type:t,target:this});for(var r=this._events[t].slice(),i=0;i<r.length;i++)r[i].call(this,e);return this},listens:function(t){return!(!this._events||!this._events[t])}};e.exports=i},{"./util":442}],435:[function(t,e,r){"use strict";function n(t,e){this.stacks=t.readFields(i,[],e)}function i(t,e,r){if(1===t){var n=r.readMessage(a,{glyphs:{}});e.push(n)}}function a(t,e,r){if(1===t)e.name=r.readString();else if(2===t)e.range=r.readString();else if(3===t){var n=r.readMessage(o,{});e.glyphs[n.id]=n}}function o(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}e.exports=n},{}],436:[function(t,e,r){"use strict";function n(t,e,r){return t*(1-r)+e*r}e.exports=n,n.number=n,n.vec2=function(t,e,r){return[n(t[0],e[0],r),n(t[1],e[1],r)]},n.color=function(t,e,r){return[n(t[0],e[0],r),n(t[1],e[1],r),n(t[2],e[2],r),n(t[3],e[3],r)]},n.array=function(t,e,r){return t.map(function(t,i){return n(t,e[i],r)})}},{}],437:[function(t,e,r){"use strict";function n(t,e,r){for(var n=0;n<t.length;n++)for(var i=t[n],a=0;a<e.length;a++)for(var o=e[a],s=0;s<o.length;s++){var l=o[s];if(d(i,l))return!0;if(c(l,i,r))return!0}return!1}function i(t,e){if(1===t.length&&1===t[0].length)return f(e,t[0][0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(f(t,n[i]))return!0;for(var a=0;a<t.length;a++){for(var o=t[a],l=0;l<o.length;l++)if(f(e,o[l]))return!0;for(var u=0;u<e.length;u++)if(s(o,e[u]))return!0}return!1}function a(t,e,r){for(var n=0;n<e.length;n++)for(var i=e[n],a=0;a<t.length;a++){var s=t[a];if(s.length>=3)for(var l=0;l<i.length;l++)if(d(s,i[l]))return!0;if(o(s,i,r))return!0}return!1}function o(t,e,r){if(t.length>1){if(s(t,e))return!0;for(var n=0;n<e.length;n++)if(c(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(c(t[i],e,r))return!0;return!1}function s(t,e){for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++){var o=e[a],s=e[a+1];if(u(n,i,o,s))return!0}return!1}function l(t,e,r){return(r.y-t.y)*(e.x-t.x)>(e.y-t.y)*(r.x-t.x)}function u(t,e,r,n){return l(t,r,n)!==l(e,r,n)&&l(t,e,r)!==l(t,e,n)}function c(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++){if(h(t,e[i-1],e[i])<n)return!0}return!1}function h(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return i<0?t.distSqr(e):i>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(i)._add(e))}function f(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++){r=t[o];for(var s=0,l=r.length-1;s<r.length;l=s++)n=r[s],i=r[l],n.y>e.y!=i.y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a)}return a}function d(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}e.exports={multiPolygonIntersectsBufferedMultiPoint:n,multiPolygonIntersectsMultiPolygon:i,multiPolygonIntersectsBufferedMultiLine:a}},{}],438:[function(t,e,r){"use strict";function n(t,e){this.max=t,this.onRemove=e,this.reset()}e.exports=n,n.prototype.reset=function(){for(var t in this.data)this.onRemove(this.data[t]);return this.data={},this.order=[],this},n.prototype.add=function(t,e){if(this.has(t))this.order.splice(this.order.indexOf(t),1),this.data[t]=e,this.order.push(t);else if(this.data[t]=e,this.order.push(t),this.order.length>this.max){var r=this.get(this.order[0]);r&&this.onRemove(r)}return this},n.prototype.has=function(t){return t in this.data},n.prototype.keys=function(){return this.order},n.prototype.get=function(t){if(!this.has(t))return null;var e=this.data[t];return delete this.data[t],this.order.splice(this.order.indexOf(t),1),e},n.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this.get(this.order[0]);e&&this.onRemove(e)}return this}},{}],439:[function(t,e,r){"use strict";function n(t,e,r){if(!(r=r||o.ACCESS_TOKEN)&&o.REQUIRE_ACCESS_TOKEN)throw new Error("An API access token is required to use Mapbox GL. 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n=0;n<16;++n)e[n]=r[n];return e}return r},d.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},d.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},d.pan=function(t,e,r,i){e=e||0,r=r||0,i=i||0,this.recalcMatrix(t);var a=this.computedMatrix,o=a[1],s=a[5],l=a[9],u=n(o,s,l);o/=u,s/=u,l/=u;var c=a[0],h=a[4],f=a[8],d=c*o+h*s+f*l;c-=o*d,h-=s*d,f-=l*d;var p=n(c,h,f);c/=p,h/=p,f/=p;var m=a[2],v=a[6],g=a[10],y=m*o+v*s+g*l,b=m*c+v*h+g*f;m-=y*o+b*c,v-=y*s+b*h,g-=y*l+b*f;var x=n(m,v,g);m/=x,v/=x,g/=x;var _=c*e+o*r,w=h*e+s*r,M=f*e+l*r;this.center.move(t,_,w,M);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+i),this.radius.set(t,Math.log(k))},d.rotate=function(t,e,r,a){this.recalcMatrix(t),e=e||0,r=r||0;var o=this.computedMatrix,s=o[0],l=o[4],u=o[8],c=o[1],h=o[5],f=o[9],d=o[2],p=o[6],m=o[10],v=e*s+r*c,g=e*l+r*h,y=e*u+r*f,b=-(p*y-m*g),x=-(m*v-d*y),_=-(d*g-p*v),w=Math.sqrt(Math.max(0,1-Math.pow(b,2)-Math.pow(x,2)-Math.pow(_,2))),M=i(b,x,_,w);M>1e-6?(b/=M,x/=M,_/=M,w/=M):(b=x=_=0,w=1);var k=this.computedRotation,A=k[0],T=k[1],S=k[2],E=k[3],L=A*w+E*b+T*_-S*x,C=T*w+E*x+S*b-A*_,I=S*w+E*_+A*x-T*b,z=E*w-A*b-T*x-S*_;if(a){b=d,x=p,_=m;var D=Math.sin(a)/n(b,x,_);b*=D,x*=D,_*=D,w=Math.cos(e),L=L*w+z*b+C*_-I*x,C=C*w+z*x+I*b-L*_,I=I*w+z*_+L*x-C*b,z=z*w-L*b-C*x-I*_}var P=i(L,C,I,z);P>1e-6?(L/=P,C/=P,I/=P,z/=P):(L=C=I=0,z=1),this.rotation.set(t,L,C,I,z)},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var i=this.computedMatrix;u(i,e,r,n);var o=this.computedRotation;f(o,i[0],i[1],i[2],i[4],i[5],i[6],i[8],i[9],i[10]),a(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var s=0,l=0;l<3;++l)s+=Math.pow(r[l]-e[l],2);this.radius.set(t,.5*Math.log(Math.max(s,1e-6))),this.center.set(t,r[0],r[1],r[2])},d.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},d.setMatrix=function(t,e){var r=this.computedRotation;f(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),a(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;h(n,e);var i=n[15];if(Math.abs(i)>1e-6){var o=n[12]/i,s=n[13]/i,l=n[14]/i;this.recalcMatrix(t);var u=Math.exp(this.computedRadius[0]);this.center.set(t,o-n[2]*u,s-n[6]*u,l-n[10]*u),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},d.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},d.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},d.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},d.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},d.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{"./lib/quatFromFrame":472,"filtered-vector":133,"gl-mat4/fromQuat":178,"gl-mat4/invert":181,"gl-mat4/lookAt":182}],474:[function(t,e,r){"use strict";var n=t("repeat-string");e.exports=function(t,e,r){return r=void 0!==r?r+"":" ",n(r,e)+t}},{"repeat-string":500}],475:[function(t,e,r){e.exports=function(t,e){e||(e=[0,""]),t=String(t);var r=parseFloat(t,10);return 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n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),t<0&&t++,n.day()+30*(n.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),i.calendars.ethiopian=n},{"../main":581,"object-assign":470}],571:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function i(t,e){return t-e*Math.floor(t/e)}var a=t("../main"),o=t("object-assign");n.prototype=new 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n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),e=n.month(),r=n.day(),t=t<=0?t+1:t,r+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),i.calendars.islamic=n},{"../main":581,"object-assign":470}],573:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}var i=t("../main"),a=t("object-assign");n.prototype=new 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r=this._validate(t,e,this.minDay,i.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate);return t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=e+1524,n=Math.floor((r-122.1)/365.25),i=Math.floor(365.25*n),a=Math.floor((r-i)/30.6001),o=a-Math.floor(a<14?1:13),s=n-Math.floor(o>2?4716:4715),l=r-i-Math.floor(30.6001*a);return s<=0&&s--,this.newDate(s,o,l)}}),i.calendars.julian=n},{"../main":581,"object-assign":470}],574:[function(t,e,r){function n(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function i(t,e){return t-e*Math.floor(t/e)}function a(t,e){return i(t-1,e)+1}var o=t("../main"),s=t("object-assign");n.prototype=new 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i.baseCalendar,a(n.prototype,{name:"UmmAlQura",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Umm al-Qura",epochs:["BH","AH"],monthNames:["Al-Muharram","Safar","Rabi' al-awwal","Rabi' Al-Thani","Jumada Al-Awwal","Jumada Al-Thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-Ahad","Yawm al-Ithnain","Yawm al-Thal\u0101th\u0101\u2019","Yawm al-Arba\u2018\u0101\u2019","Yawm al-Kham\u012bs","Yawm al-Jum\u2018a","Yawm al-Sabt"],dayNamesMin:["Ah","Ith","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,i.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,i.local.invalidMonth),n=r.toJD()-24e5+.5,a=0,s=0;s<o.length;s++){if(o[s]>n)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var n=this._validate(t,e,r,i.local.invalidDate),a=12*(n.year()-1)+n.month()-15292;return n.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,u=e-o[r-1]+1;return this.newDate(s,l,u)},isValid:function(t,e,r){var n=i.baseCalendar.prototype.isValid.apply(this,arguments);return n&&(t=null!=t.year?t.year:t,n=t>=1276&&t<=1500),n},_validate:function(t,e,r,n){var a=i.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw n.replace(/\{0\}/,this.local.name);return a}}),i.calendars.ummalqura=n;var 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n(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function a(t,e){return t=""+t,"000000".substring(0,e-t.length)+t}function o(){this.shortYearCutoff="+10"}function s(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}var l=t("object-assign");l(n.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,i){return n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,i):n)||this.instance(),n.newDate(t,e,r)},substituteDigits:function(t){ -return function(e){return(e+"").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n="",i=0;r>0;){var a=r%10;n=(0===a?"":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),l(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+a(Math.abs(this.year()),4)+"-"+a(this.month(),2)+"-"+a(this.day(),2)}}),l(o.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+a(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0),i=t.day();"y"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):"m"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw this._validateLevel--,t}},_correctAdd:function(t,e,r,n){if(!(this.hasYearZero||"y"!==n&&"m"!==n||0!==e[0]&&t.year()>0==e[0]>0)){var i={y:[1,1,"y"],m:[1,this.monthsInYear(-1),"m"],w:[this.daysInWeek(),this.daysInYear(-1),"d"],d:[1,this.daysInYear(-1),"d"]}[n],a=r<0?-1:1;e=this._add(t,r*i[0]+a*i[1],i[2])}return t.date(e[0],e[1],e[2])},set:function(t,e,r){this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[""].invalidDate);var n="y"===r?e:t.year(),i="m"===r?e:t.month(),a="d"===r?e:t.day();return"y"!==r&&"m"!==r||(a=Math.min(a,this.daysInMonth(n,i))),t.date(n,i,a)},isValid:function(t,e,r){this._validateLevel++;var n=this.hasYearZero||0!==t;if(n){var i=this.newDate(t,e,this.minDay);n=e>=this.minMonth&&e-this.minMonth<this.monthsInYear(i)&&r>=this.minDay&&r-this.minDay<this.daysInMonth(i)}return this._validateLevel--,n},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate);return u.instance().fromJD(this.toJD(n)).toJSDate()},fromJSDate:function(t){return this.fromJD(u.instance().fromJSDate(t).toJD())},_validate:function(t,e,r,n){if(t.year){if(0===this._validateLevel&&this.name!==t.calendar().name)throw(u.local.differentCalendars||u.regionalOptions[""].differentCalendars).replace(/\{0\}/,this.local.name).replace(/\{1\}/,t.calendar().local.name);return t}try{if(1===++this._validateLevel&&!this.isValid(t,e,r))throw n.replace(/\{0\}/,this.local.name);var i=this.newDate(t,e,r);return this._validateLevel--,i}catch(t){throw this._validateLevel--,t}}}),s.prototype=new 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n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[""].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=e.exports=new n;u.cdate=i,u.baseCalendar=o,u.calendars.gregorian=s},{"object-assign":470}],582:[function(t,e,r){var n=t("object-assign"),i=t("./main");n(i.regionalOptions[""],{invalidArguments:"Invalid arguments",invalidFormat:"Cannot format a date from another calendar",missingNumberAt:"Missing number at position {0}",unknownNameAt:"Unknown name at position {0}",unexpectedLiteralAt:"Unexpected literal at position {0}",unexpectedText:"Additional text found at end"}),i.local=i.regionalOptions[""],n(i.cdate.prototype,{formatDate:function(t,e){return"string"!=typeof 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a=r.dayNamesShort||this.local.dayNamesShort,o=r.dayNames||this.local.dayNames,s=r.parseMonth||this.local.parseMonth,l=r.monthNumbers||this.local.monthNumbers,u=r.monthNamesShort||this.local.monthNamesShort,c=r.monthNames||this.local.monthNames,h=-1,f=-1,d=-1,p=-1,m=-1,v=!1,g=!1,y=function(e,r){for(var n=1;k+n<t.length&&t.charAt(k+n)===e;)n++;return k+=n-1,Math.floor(n/(r||1))>1},b=function(t,r){var n=y(t,r),a=[2,3,n?4:2,n?4:2,10,11,20]["oyYJ@!".indexOf(t)+1],o=new RegExp("^-?\\d{1,"+a+"}"),s=e.substring(M).match(o);if(!s)throw(i.local.missingNumberAt||i.regionalOptions[""].missingNumberAt).replace(/\{0\}/,M);return M+=s[0].length,parseInt(s[0],10)},x=this,_=function(t,r,n,a){for(var o=y(t,a)?n:r,s=0;s<o.length;s++)if(e.substr(M,o[s].length).toLowerCase()===o[s].toLowerCase())return 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k={x:{},y:{}},A=+e.textangle||0,T=x._infolayer.append("g").classed(y,!0).attr("data-index",String(r)).style("opacity",e.opacity),S=T.append("g").classed("annotation-text-g",!0),E=w[e.showarrow?"annotationTail":"annotationPosition"],L=e.captureevents||w.annotationText||E,C=S.append("g").style("pointer-events",L?"all":null).call(m,"default").on("click",function(){t._dragging=!1;var i={index:r,annotation:e._input,fullAnnotation:e,event:o.event};n&&(i.subplotId=n),t.emit("plotly_clickannotation",i)});e.hovertext&&C.on("mouseover",function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();d.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:x._hoverlayer.node(),outerContainer:x._paper.node(),gd:t})}).on("mouseout",function(){d.loneUnhover(x._hoverlayer.node())});var I=e.borderwidth,z=e.borderpad,D=I+z,P=C.append("rect").attr("class","bg").style("stroke-width",I+"px").call(h.stroke,e.bordercolor).call(h.fill,e.bgcolor),O=e.width||e.height,R=x._topclips.selectAll("#"+M).data(O?[0]:[]);R.enter().append("clipPath").classed("annclip",!0).attr("id",M).append("rect"),R.exit().remove();var F=e.font,j=C.append("text").classed("annotation-text",!0).text(e.text);w.annotationText?j.call(p.makeEditable,{delegate:C,gd:t}).call(l).on("edit",function(r){e.text=r,this.call(l);var n={};n[b+".text"]=e.text,i&&i.autorange&&(n[i._name+".autorange"]=!0),a&&a.autorange&&(n[a._name+".autorange"]=!0),s.relayout(t,n)}):j.call(l)}var o=t("d3"),s=t("../../plotly"),l=t("../../plots/plots"),u=t("../../lib"),c=t("../../plots/cartesian/axes"),h=t("../color"),f=t("../drawing"),d=t("../fx"),p=t("../../lib/svg_text_utils"),m=t("../../lib/setcursor"),v=t("../dragelement"),g=t("./draw_arrow_head");e.exports={draw:n,drawOne:i,drawRaw:a}},{"../../lib":728,"../../lib/setcursor":746,"../../lib/svg_text_utils":750,"../../plotly":767,"../../plots/cartesian/axes":772,"../../plots/plots":831,"../color":604,"../dragelement":625,"../drawing":628,"../fx":645,"./draw_arrow_head":594,d3:122}],594:[function(t,e,r){"use strict";var n=t("d3"),i=t("../color"),a=t("./arrow_paths");e.exports=function(t,e,r){function o(){t.style("stroke-dasharray","0px,100px")}function s(e,a){d.path&&(d.noRotate&&(a=0),n.select(f.parentNode).append("path").attr({class:t.attr("class"),d:d.path,transform:"translate("+e.x+","+e.y+")"+(a?"rotate("+180*a/Math.PI+")":"")+"scale("+p+")"}).style({ -fill:i.rgb(r.arrowcolor),"stroke-width":0}))}var 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sans-serif",HOVERMINTIME:50,HOVERID:"-hover"}},{}],641:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("./hoverlabel_defaults");e.exports=function(t,e,r,o){function s(r,a){return n.coerce(t,e,i,r,a)}a(t,e,s,o.hoverlabel)}},{"../../lib":728,"./attributes":637,"./hoverlabel_defaults":644}],642:[function(t,e,r){"use strict";function n(t,e){return function(r){var n=t(r),i=e(r);return Math.sqrt(n*n+i*i)}}var i=t("../../lib"),a=t("./constants");r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},r.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},r.getDistanceFunction=function(t,e,r,i){return"closest"===t?i||n(e,r):"x"===t?e:r},r.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){ -var i=e(t[n]);i<=r.distance&&(r.index=n,r.distance=i)}return r},r.inbox=function(t,e){return t*e<0||0===t?a.MAXDIST*(.6-.3/Math.max(3,Math.abs(t-e))):1/0},r.appendArrayPointValue=function(t,e,r){var n=e._arrayAttrs;if(n)for(var a=0;a<n.length;a++){var o,s=n[a];if(o="ids"===s?"id":"locations"===s?"location":s,void 0===t[o]){var l=i.nestedProperty(e,s).get();Array.isArray(r)?Array.isArray(l)&&Array.isArray(l[r[0]])&&(t[o]=l[r[0]][r[1]]):t[o]=l[r]}}}},{"../../lib":728,"./constants":640}],643:[function(t,e,r){"use strict";function n(t,e,r,n){if(("pie"===r||"sankey"===r)&&!n)return void t.emit("plotly_hover",{event:e.originalEvent,points:[e]});r||(r="xy");var f=Array.isArray(r)?r:[r],m=t._fullLayout,g=m._plots||[],k=g[r];if(k){var A=k.overlays.map(function(t){return t.id});f=f.concat(A)}for(var T=f.length,S=new Array(T),E=new Array(T),L=0;L<T;L++){var C=f[L],I=g[C];if(I)S[L]=x.getFromId(t,I.xaxis._id),E[L]=x.getFromId(t,I.yaxis._id);else{var z=m[C]._subplot;S[L]=z.xaxis,E[L]=z.yaxis}}var D=e.hovermode||m.hovermode;if(-1===["x","y","closest"].indexOf(D)||!t.calcdata||t.querySelector(".zoombox")||t._dragging)return b.unhoverRaw(t,e);var P,O,R,F,j,N,B,U,V,H,q,G,Y,W=[],X=[];if(Array.isArray(e))for(D="array",R=0;R<e.length;R++)j=t.calcdata[e[R].curveNumber||0],"skip"!==j[0].trace.hoverinfo&&X.push(j);else{for(F=0;F<t.calcdata.length;F++)j=t.calcdata[F],N=j[0].trace,"skip"!==N.hoverinfo&&-1!==f.indexOf(w.getSubplot(N))&&X.push(j);var Z,J,K=!e.target;if(K)Z="xpx"in e?e.xpx:S[0]._length/2,J="ypx"in e?e.ypx:E[0]._length/2;else{if(!1===p.triggerHandler(t,"plotly_beforehover",e))return;var Q=e.target.getBoundingClientRect();if(Z=e.clientX-Q.left,J=e.clientY-Q.top,Z<0||Z>Q.width||J<0||J>Q.height)return b.unhoverRaw(t,e)}if(P="xval"in e?w.flat(f,e.xval):w.p2c(S,Z),O="yval"in e?w.flat(f,e.yval):w.p2c(E,J),!h(P[0])||!h(O[0]))return d.warn("Fx.hover failed",e,t),b.unhoverRaw(t,e)}var $=1/0;for(F=0;F<X.length;F++)if((j=X[F])&&j[0]&&j[0].trace&&!0===j[0].trace.visible&&(N=j[0].trace,-1===["carpet","contourcarpet"].indexOf(N._module.name))){if(B=w.getSubplot(N),U=f.indexOf(B),V=D,G={cd:j,trace:N,xa:S[U],ya:E[U],index:!1,distance:Math.min($,M.MAXDIST),color:y.defaultLine,name:N.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},m[B]&&(G.subplot=m[B]._subplot),Y=W.length,"array"===V){var tt=e[F];"pointNumber"in tt?(G.index=tt.pointNumber,V="closest"):(V="","xval"in tt&&(H=tt.xval,V="x"),"yval"in tt&&(q=tt.yval,V=V?"closest":"y"))}else H=P[U],q=O[U];if(N._module&&N._module.hoverPoints){var et=N._module.hoverPoints(G,H,q,V);if(et)for(var rt,nt=0;nt<et.length;nt++)rt=et[nt],h(rt.x0)&&h(rt.y0)&&W.push(s(rt,D))}else d.log("Unrecognized trace type in hover:",N);"closest"===D&&W.length>Y&&(W.splice(0,Y),$=W[0].distance)}if(0===W.length)return b.unhoverRaw(t,e);W.sort(function(t,e){return t.distance-e.distance});var it=t._hoverdata,at=[];for(R=0;R<W.length;R++){var ot=W[R],st={data:ot.trace._input,fullData:ot.trace,curveNumber:ot.trace.index,pointNumber:ot.index};ot.trace._module.eventData?st=ot.trace._module.eventData(st,ot):(st.x=ot.xVal,st.y=ot.yVal,st.xaxis=ot.xa,st.yaxis=ot.ya,void 0!==ot.zLabelVal&&(st.z=ot.zLabelVal)),w.appendArrayPointValue(st,ot.trace,ot.index),at.push(st)}if(t._hoverdata=at,u(t,e,it)&&m._hasCartesian){l(W,{hovermode:D,fullLayout:m,container:m._hoverlayer,outerContainer:m._paperdiv})}var lt="y"===D&&X.length>1,ut=y.combine(m.plot_bgcolor||y.background,m.paper_bgcolor),ct={hovermode:D,rotateLabels:lt,bgColor:ut,container:m._hoverlayer,outerContainer:m._paperdiv,commonLabelOpts:m.hoverlabel},ht=i(W,ct,t);if(a(W,lt?"xa":"ya"),o(ht,lt),e.target&&e.target.tagName){var ft=_.getComponentMethod("annotations","hasClickToShow")(t,at);v(c.select(e.target),ft?"pointer":"")}e.target&&!n&&u(t,e,it)&&(it&&t.emit("plotly_unhover",{event:e,points:it}),t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:S,yaxes:E,xvals:P,yvals:O}))}function i(t,e,r){var n,i,a=e.hovermode,o=e.rotateLabels,s=e.bgColor,l=e.container,u=e.outerContainer,h=e.commonLabelOpts||{},f=e.fontFamily||M.HOVERFONT,d=e.fontSize||M.HOVERFONTSIZE,p=t[0],v=p.xa,b=p.ya,x="y"===a?"yLabel":"xLabel",_=p[x],w=(String(_)||"").split(" ")[0],A=u.node().getBoundingClientRect(),T=A.top,S=A.width,E=A.height,I=p.distance<=M.MAXDIST&&("x"===a||"y"===a);for(n=0;n<t.length;n++){i=t[n].hoverinfo||t[n].trace.hoverinfo;var z=i.split("+");if(-1===z.indexOf("all")&&-1===z.indexOf(a)){I=!1;break}}var D=l.selectAll("g.axistext").data(I?[0]:[]);D.enter().append("g").classed("axistext",!0),D.exit().remove(),D.each(function(){var e=c.select(this),n=e.selectAll("path").data([0]),i=e.selectAll("text").data([0]);n.enter().append("path").style({"stroke-width":"1px"}),n.style({fill:h.bgcolor||y.defaultLine,stroke:h.bordercolor||y.background}),i.enter().append("text").attr("data-notex",1),i.text(_).call(g.font,h.font.family||f,h.font.size||d,h.font.color||y.background).call(m.positionText,0,0).call(m.convertToTspans,r),e.attr("transform","");var o=i.node().getBoundingClientRect();if("x"===a){i.attr("text-anchor","middle").call(m.positionText,0,"top"===v.side?T-o.bottom-L-C:T-o.top+L+C);var s="top"===v.side?"-":"";n.attr("d","M0,0L"+L+","+s+L+"H"+(C+o.width/2)+"v"+s+(2*C+o.height)+"H-"+(C+o.width/2)+"V"+s+L+"H-"+L+"Z"),e.attr("transform","translate("+(v._offset+(p.x0+p.x1)/2)+","+(b._offset+("top"===v.side?0:b._length))+")")}else{i.attr("text-anchor","right"===b.side?"start":"end").call(m.positionText,("right"===b.side?1:-1)*(C+L),T-o.top-o.height/2);var l="right"===b.side?"":"-";n.attr("d","M0,0L"+l+L+","+L+"V"+(C+o.height/2)+"h"+l+(2*C+o.width)+"V-"+(C+o.height/2)+"H"+l+L+"V-"+L+"Z"),e.attr("transform","translate("+(v._offset+("right"===b.side?v._length:0))+","+(b._offset+(p.y0+p.y1)/2)+")")}t=t.filter(function(t){return void 0!==t.zLabelVal||(t[x]||"").split(" ")[0]===w})});var P=l.selectAll("g.hovertext").data(t,function(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa,t.ya||""].join(",")});return P.enter().append("g").classed("hovertext",!0).each(function(){var t=c.select(this);t.append("rect").call(y.fill,y.addOpacity(s,.8)),t.append("text").classed("name",!0),t.append("path").style("stroke-width","1px"),t.append("text").classed("nums",!0).call(g.font,f,d)}),P.exit().remove(),P.each(function(t){var e=c.select(this).attr("transform",""),n="",i="",l=y.opacity(t.color)?t.color:y.defaultLine,u=y.combine(l,s),h=t.borderColor||y.contrast(u);if(void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name){n=m.plainText(t.name||"");var p=Math.round(t.nameLength);p>-1&&n.length>p&&(n=p>3?n.substr(0,p-3)+"...":n.substr(0,p))}void 0!==t.extraText&&(i+=t.extraText),void 0!==t.zLabel?(void 0!==t.xLabel&&(i+="x: "+t.xLabel+"<br>"),void 0!==t.yLabel&&(i+="y: "+t.yLabel+"<br>"),i+=(i?"z: ":"")+t.zLabel):I&&t[a+"Label"]===_?i=t[("x"===a?"y":"x")+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&(i=t.yLabel):i=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",t.text&&!Array.isArray(t.text)&&(i+=(i?"<br>":"")+t.text),""===i&&(""===n&&e.remove(),i=n);var v=e.select("text.nums").call(g.font,t.fontFamily||f,t.fontSize||d,t.fontColor||h).text(i).attr("data-notex",1).call(m.positionText,0,0).call(m.convertToTspans,r),b=e.select("text.name"),x=0;n&&n!==i?(b.call(g.font,t.fontFamily||f,t.fontSize||d,u).text(n).attr("data-notex",1).call(m.positionText,0,0).call(m.convertToTspans,r),x=b.node().getBoundingClientRect().width+2*C):(b.remove(),e.select("rect").remove()),e.select("path").style({fill:u,stroke:h});var w,M,A=v.node().getBoundingClientRect(),z=t.xa._offset+(t.x0+t.x1)/2,D=t.ya._offset+(t.y0+t.y1)/2,P=Math.abs(t.x1-t.x0),O=Math.abs(t.y1-t.y0),R=A.width+L+C+x;t.ty0=T-A.top,t.bx=A.width+2*C,t.by=A.height+2*C,t.anchor="start",t.txwidth=A.width,t.tx2width=x,t.offset=0,o?(t.pos=z,w=D+O/2+R<=E,M=D-O/2-R>=0,"top"!==t.idealAlign&&w||!M?w?(D+=O/2,t.anchor="start"):t.anchor="middle":(D-=O/2,t.anchor="end")):(t.pos=D,w=z+P/2+R<=S,M=z-P/2-R>=0,"left"!==t.idealAlign&&w||!M?w?(z+=P/2,t.anchor="start"):t.anchor="middle":(z-=P/2,t.anchor="end")),v.attr("text-anchor",t.anchor),x&&b.attr("text-anchor",t.anchor),e.attr("transform","translate("+z+","+D+")"+(o?"rotate("+k+")":""))}),P}function a(t,e){function r(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var u=0;for(o=0;o<t.length;o++)l=t[o],l.pos+l.dp+l.size>e.pmax&&u++;for(o=t.length-1;o>=0&&!(u<=0);o--)l=t[o],l.pos>e.pmax-1&&(l.del=!0,u--);for(o=0;o<t.length&&!(u<=0);o++)if(l=t[o],l.pos<e.pmin+1)for(l.del=!0,u--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(u<=0);o--)l=t[o],l.pos+l.dp+l.size>e.pmax&&(l.del=!0,u--)}}}for(var n,i,a,o,s,l,u,c=0,h=t.map(function(t,r){var n=t[e];return[{i:r,dp:0,pos:t.pos,posref:t.posref,size:t.by*("x"===n._id.charAt(0)?T:1)/2,pmin:n._offset,pmax:n._offset+n._length}]}).sort(function(t,e){return t[0].posref-e[0].posref});!n&&c<=t.length;){for(c++,n=!0,o=0;o<h.length-1;){var f=h[o],d=h[o+1],p=f[f.length-1],m=d[0];if((i=p.pos+p.dp+p.size-m.pos-m.dp+m.size)>.01&&p.pmin===m.pmin&&p.pmax===m.pmax){for(s=d.length-1;s>=0;s--)d[s].dp+=i;for(f.push.apply(f,d),h.splice(o+1,1),u=0,s=f.length-1;s>=0;s--)u+=f[s].dp;for(a=u/f.length,s=f.length-1;s>=0;s--)f[s].dp-=a;n=!1}else o++}h.forEach(r)}for(o=h.length-1;o>=0;o--){var v=h[o];for(s=v.length-1;s>=0;s--){var g=v[s],y=t[g.i];y.offset=g.dp,y.del=g.del}}}function o(t,e){t.each(function(t){var r=c.select(this);if(t.del)return void r.remove();var n="end"===t.anchor?-1:1,i=r.select("text.nums"),a={start:1,end:-1,middle:0}[t.anchor],o=a*(L+C),s=o+a*(t.txwidth+C),l=0,u=t.offset;"middle"===t.anchor&&(o-=t.tx2width/2,s-=t.tx2width/2),e&&(u*=-E,l=t.offset*S),r.select("path").attr("d","middle"===t.anchor?"M-"+t.bx/2+",-"+t.by/2+"h"+t.bx+"v"+t.by+"h-"+t.bx+"Z":"M0,0L"+(n*L+l)+","+(L+u)+"v"+(t.by/2-L)+"h"+n*t.bx+"v-"+t.by+"H"+(n*L+l)+"V"+(u-L)+"Z"),i.call(m.positionText,o+l,u+t.ty0-t.by/2+C),t.tx2width&&(r.select("text.name").call(m.positionText,s+a*C+l,u+t.ty0-t.by/2+C),r.select("rect").call(g.setRect,s+(a-1)*t.tx2width/2+l,u-t.by/2-1,t.tx2width,t.by+2))})}function s(t,e){function r(e,r,n){var i=s(r,n);i&&(t[e]=i)}var n=t.index,i=t.trace||{},a=t.cd[0],o=t.cd[n]||{},s=Array.isArray(n)?function(t,e){return d.castOption(a,n,t)||d.extractOption({},i,"",e)}:function(t,e){return d.extractOption(o,i,t,e)};r("hoverinfo","hi","hoverinfo"),r("color","hbg","hoverlabel.bgcolor"),r("borderColor","hbc","hoverlabel.bordercolor"),r("fontFamily","htf","hoverlabel.font.family"),r("fontSize","hts","hoverlabel.font.size"),r("fontColor","htc","hoverlabel.font.color"),r("nameLength","hnl","hoverlabel.namelength"),t.posref="y"===e?(t.x0+t.x1)/2:(t.y0+t.y1)/2,t.x0=d.constrain(t.x0,0,t.xa._length),t.x1=d.constrain(t.x1,0,t.xa._length),t.y0=d.constrain(t.y0,0,t.ya._length),t.y1=d.constrain(t.y1,0,t.ya._length);var l;if(void 0!==t.xLabelVal){l="log"===t.xa.type&&t.xLabelVal<=0;var u=x.tickText(t.xa,t.xa.c2l(l?-t.xLabelVal:t.xLabelVal),"hover");l?0===t.xLabelVal?t.xLabel="0":t.xLabel="-"+u.text:t.xLabel=u.text,t.xVal=t.xa.c2d(t.xLabelVal)}if(void 0!==t.yLabelVal){l="log"===t.ya.type&&t.yLabelVal<=0;var 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R=this.container.selectAll("rect.scrollbar-vertical").data(I?[0]:[]);R.exit().on(".drag",null).remove(),R.enter().append("rect").classed("scrollbar-vertical",!0).call(a.fill,n.barColor),I?(this.vbar=R.attr({rx:n.barRadius,ry:n.barRadius,x:P,y:O,width:z,height:D}),this._vbarYMin=O+D/2,this._vbarTranslateMax=k-D):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var F=this.id,j=c-.5,N=I?h+z+.5:h+.5,B=f-.5,U=A?d+S+.5:d+.5,V=s._topdefs.selectAll("#"+F).data(A||I?[0]:[]);if(V.exit().remove(),V.enter().append("clipPath").attr("id",F).append("rect"),A||I?(this._clipRect=V.select("rect").attr({x:Math.floor(j),y:Math.floor(B),width:Math.ceil(N)-Math.floor(j),height:Math.ceil(U)-Math.floor(B)}),this.container.call(o.setClipUrl,F),this.bg.attr({x:p,y:v,width:m,height:g})):(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(o.setClipUrl,null),delete this._clipRect),A||I){var H=i.behavior.drag().on("dragstart",function(){i.event.sourceEvent.preventDefault()}).on("drag",this._onBoxDrag.bind(this));this.container.on("wheel",null).on("wheel",this._onBoxWheel.bind(this)).on(".drag",null).call(H);var q=i.behavior.drag().on("dragstart",function(){i.event.sourceEvent.preventDefault(),i.event.sourceEvent.stopPropagation()}).on("drag",this._onBarDrag.bind(this));A&&this.hbar.on(".drag",null).call(q),I&&this.vbar.on(".drag",null).call(q)}this.setTranslate(e,r)},n.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(o.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(".drag",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(".drag",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},n.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=i.event.dx),this.vbar&&(e-=i.event.dy),this.setTranslate(t,e)},n.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=i.event.deltaY),this.vbar&&(e+=i.event.deltaY),this.setTranslate(t,e)},n.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,n=r+this._hbarTranslateMax;t=(s.constrain(i.event.x,r,n)-r)/(n-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,o=a+this._vbarTranslateMax;e=(s.constrain(i.event.y,a,o)-a)/(o-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},n.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=s.constrain(t||0,0,r),e=s.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(o.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(o.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var a=e/n;this.vbar.call(o.setTranslate,t,e+a*this._vbarTranslateMax)}}},{"../../lib":728,"../color":604,"../drawing":628,d3:122}],701:[function(t,e,r){"use strict";e.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},LINE_SPACING:1.3,MID_SHIFT:.35}},{}],702:[function(t,e,r){"use strict";e.exports={solid:[1],dot:[1,1],dash:[4,1],longdash:[8,1],dashdot:[4,1,1,1],longdashdot:[8,1,1,1]}},{}],703:[function(t,e,r){"use strict";for(var 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i(t){return new n(t)}var a=t("../plots"),o=t("../cartesian/axes"),s=t("../../lib/html2unicode"),l=t("../../lib/str2rgbarray"),u=n.prototype,c=["xaxis","yaxis"];u.merge=function(t){this.titleEnable=!1,this.backgroundColor=l(t.plot_bgcolor);var e,r,n,i,a,o,u,h,f,d,p;for(d=0;d<2;++d){for(e=c[d],r=t[this.scene[e]._name],n=/Click to enter .+ title/.test(r.title)?"":r.title,p=0;p<=2;p+=2)this.labelEnable[d+p]=!1,this.labels[d+p]=s(n),this.labelColor[d+p]=l(r.titlefont.color),this.labelFont[d+p]=r.titlefont.family,this.labelSize[d+p]=r.titlefont.size,this.labelPad[d+p]=this.getLabelPad(e,r),this.tickEnable[d+p]=!1,this.tickColor[d+p]=l((r.tickfont||{}).color),this.tickAngle[d+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[d+p]=this.getTickPad(r),this.tickMarkLength[d+p]=0,this.tickMarkWidth[d+p]=r.tickwidth||0,this.tickMarkColor[d+p]=l(r.tickcolor),this.borderLineEnable[d+p]=!1,this.borderLineColor[d+p]=l(r.linecolor),this.borderLineWidth[d+p]=r.linewidth||0;u=this.hasSharedAxis(r),a=this.hasAxisInDfltPos(e,r)&&!u,o=this.hasAxisInAltrPos(e,r)&&!u,i=r.mirror||!1,h=u?-1!==String(i).indexOf("all"):!!i,f=u?"allticks"===i:-1!==String(i).indexOf("ticks"),a?this.labelEnable[d]=!0:o&&(this.labelEnable[d+2]=!0),a?this.tickEnable[d]=r.showticklabels:o&&(this.tickEnable[d+2]=r.showticklabels),(a||h)&&(this.borderLineEnable[d]=r.showline),(o||h)&&(this.borderLineEnable[d+2]=r.showline),(a||f)&&(this.tickMarkLength[d]=this.getTickMarkLength(r)),(o||f)&&(this.tickMarkLength[d+2]=this.getTickMarkLength(r)),this.gridLineEnable[d]=r.showgrid,this.gridLineColor[d]=l(r.gridcolor),this.gridLineWidth[d]=r.gridwidth,this.zeroLineEnable[d]=r.zeroline,this.zeroLineColor[d]=l(r.zerolinecolor),this.zeroLineWidth[d]=r.zerolinewidth}},u.hasSharedAxis=function(t){var e=this.scene,r=a.getSubplotIds(e.fullLayout,"gl2d");return 0!==o.findSubplotsWithAxis(r,t).indexOf(e.id)},u.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},u.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},u.getLabelPad=function(t,e){var r=e.titlefont.size,n=e.showticklabels;return"xaxis"===t?"top"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:"yaxis"===t?"right"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},u.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},u.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=i},{ -"../../lib/html2unicode":726,"../../lib/str2rgbarray":749,"../cartesian/axes":772,"../plots":831}],808:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("./scene2d"),a=t("../plots"),o=t("../../constants/xmlns_namespaces"),s=t("../cartesian/constants"),l=t("../cartesian"),u=t("../../components/fx/layout_attributes");r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t("../cartesian/attributes"),r.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.layoutAttributes.plot_bgcolor,hoverlabel:u.hoverlabel},"plot","nested"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=a.getSubplotIds(e,"gl2d"),o=0;o<n.length;o++){var s=n[o],l=e._plots[s],u=a.getSubplotData(r,"gl2d",s),c=l._scene2d;void 0===c&&(c=new i({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),l._scene2d=c),c.plot(u,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=a.getSubplotIds(n,"gl2d"),o=0;o<i.length;o++){var s=i[o],u=n._plots[s];if(u._scene2d){0===a.getSubplotData(t,"gl2d",s).length&&(u._scene2d.destroy(),delete n._plots[s])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=a.getSubplotIds(e,"gl2d"),n=0;n<r.length;n++){var i=e._plots[r[n]],s=i._scene2d,l=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":l,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),s.destroy()}},r.updateFx=function(t){for(var e=a.getSubplotIds(t,"gl2d"),r=0;r<e.length;r++){t._plots[e[r]]._scene2d.updateFx(t.dragmode)}}},{"../../components/fx/layout_attributes":646,"../../constants/xmlns_namespaces":709,"../../plot_api/edit_types":756,"../cartesian":782,"../cartesian/attributes":771,"../cartesian/constants":777,"../plots":831,"./scene2d":809}],809:[function(t,e,r){"use strict";function n(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context.scrollZoom,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.glplotOptions=p(this),this.glplotOptions.merge(e),this.glplot=c(this.glplotOptions),this.camera=m(this),this.traces={},this.spikes=h(this.glplot),this.selectBox=f(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.bounds=[1/0,1/0,-1/0,-1/0],this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw()}function i(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1}var a,o,s=t("../../registry"),l=t("../../plots/cartesian/axes"),u=t("../../components/fx"),c=t("gl-plot2d"),h=t("gl-spikes2d"),f=t("gl-select-box"),d=t("webgl-context"),p=t("./convert"),m=t("./camera"),v=t("../../lib/html2unicode"),g=t("../../lib/show_no_webgl_msg"),y=t("../../plots/cartesian/constraints"),b=y.enforce,x=y.clean,_=["xaxis","yaxis"];e.exports=n;var w=n.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(o||(a=document.createElement("canvas"),o=d({canvas:a,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=a,this.gl=o}else{var t=document.createElement("canvas"),e=d({canvas:t,premultipliedAlpha:!0});e||g(this),this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r),r.className+="user-select-none";var n=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");n.style.position="absolute",n.style.top=n.style.left="0px",n.style.width=n.style.height="100%",n.style["z-index"]=20,n.style["pointer-events"]="none";var i=this.mouseContainer=document.createElement("div");i.style.position="absolute",i.style["pointer-events"]="auto";var s=this.container;s.appendChild(r),s.appendChild(n),s.appendChild(i);var l=this;i.addEventListener("mouseout",function(){l.isMouseOver=!1,l.unhover()}),i.addEventListener("mouseover",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(a),this.updateSize(this.canvas),this.glplot.setDirty(),this.glplot.draw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=n-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=i[4*(r*o+l)+u];i[4*(r*o+l)+u]=i[4*(r*s+l)+u],i[4*(r*s+l)+u]=c}var h=document.createElement("canvas");h.width=r,h.height=n;var f=h.getContext("2d"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case"jpeg":p=h.toDataURL("image/jpeg");break;case"webp":p=h.toDataURL("image/webp");break;default:p=h.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(a),p},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),this.redraw&&this.redraw(),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[l.calcTicks(this.xaxis),l.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=v(t[e][r].text+"");return t},w.updateRefs=function(t){this.fullLayout=t;var e=l.subplotMatch,r="xaxis"+this.id.match(e)[1],n="yaxis"+this.id.match(e)[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout;n.xaxis.autorange=e.autorange,n.xaxis.range=e.range.slice(0),n.yaxis.autorange=r.autorange,n.yaxis.range=r.range.slice(0);var i={lastInputTime:this.camera.lastInputTime};i[e._name]=e.range.slice(0),i[r._name]=r.range.slice(0),t.emit("plotly_relayout",i)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();i(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&s.getComponentMethod("annotations","drawOne")(t,r)}},w.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.staticPlot||this.container.removeChild(this.canvas),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};x(s,this.xaxis),x(s,this.yaxis);var u=r._size,c=this.xaxis.domain,h=this.yaxis.domain;o.viewBox=[u.l+c[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-c[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(c[1]-c[0])+"px",this.mouseContainer.style.height=u.h*(h[1]-h[0])+"px",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+c[0]*u.w+"px",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+"px";var f=this.bounds;f[0]=f[1]=1/0,f[2]=f[3]=-1/0;var d,p,m=Object.keys(this.traces);for(p=0;p<m.length;++p)for(var v=this.traces[m[p]],g=0;g<2;++g)f[g]=Math.min(f[g],v.bounds[g]),f[g+2]=Math.max(f[g+2],v.bounds[g+2]);for(p=0;p<2;++p)f[p]>f[p+2]&&(f[p]=-1,f[p+2]=1),d=this[_[p]],d._length=o.viewBox[p+2]-o.viewBox[p],l.doAutoRange(d),d.setScale();b(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},w.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if(i=t[n],i.uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){this.mouseContainer.style["pointer-events"]="lasso"===t||"select"===t?"none":"auto",this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};u.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},w.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,s=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===i.dragmode){this.selectBox.enabled=!0;for(var l=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(l[c]=t.dataBox[c],l[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,d=this.yaxis.domain;a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,s/t.pixelRatio-(h.t+(1-d[1])*h.h));var p=a&&a.object._trace.handlePick(a);if(p&&n&&this.emitPointAction(p,"plotly_click"),a&&"skip"!==a.object._trace.hoverinfo&&i.hovermode&&p&&(!this.lastPickResult||this.lastPickResult.traceUid!==p.trace.uid||this.lastPickResult.dataCoord[0]!==p.dataCoord[0]||this.lastPickResult.dataCoord[1]!==p.dataCoord[1])){var m=p;this.lastPickResult={traceUid:p.trace?p.trace.uid:null,dataCoord:p.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(p,"plotly_hover");var v=this.fullData[m.trace.index]||{},g=m.pointIndex,y=u.castHoverinfo(v,i,g);if(y&&"all"!==y){var b=y.split("+");-1===b.indexOf("x")&&(m.traceCoord[0]=void 0),-1===b.indexOf("y")&&(m.traceCoord[1]=void 0),-1===b.indexOf("z")&&(m.traceCoord[2]=void 0),-1===b.indexOf("text")&&(m.textLabel=void 0),-1===b.indexOf("name")&&(m.name=void 0)}u.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter("xaxis",m.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:u.castHoverOption(v,g,"bgcolor")||m.color,borderColor:u.castHoverOption(v,g,"bordercolor"),fontFamily:u.castHoverOption(v,g,"font.family"),fontSize:u.castHoverOption(v,g,"font.size"),fontColor:u.castHoverOption(v,g,"font.color")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),u.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return l.tickText(r,r.c2l(e),"hover").text}}},{"../../components/fx":645,"../../lib/html2unicode":726,"../../lib/show_no_webgl_msg":747,"../../plots/cartesian/axes":772,"../../plots/cartesian/constraints":779,"../../registry":846,"./camera":806,"./convert":807,"gl-plot2d":219,"gl-select-box":253,"gl-spikes2d":262,"webgl-context":563}],810:[function(t,e,r){"use strict";function n(t,e){function r(e,r,n,a){var o=p.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,c="zoom"===o,f=!!a.control,d=!!a.alt,y=!!a.shift,b=!!(1&e),x=!!(2&e),_=!!(4&e),w=1/t.clientHeight,M=w*(r-m),k=w*(n-v),A=p.flipX?1:-1,T=p.flipY?1:-1,S=i(),E=Math.PI*p.rotateSpeed;if((s&&b&&!f&&!d&&!y||b&&!f&&!d&&y)&&u.rotate(S,A*E*M,-T*E*k,0),(l&&b&&!f&&!d&&!y||x||b&&f&&!d&&!y)&&u.pan(S,-p.translateSpeed*M*h,p.translateSpeed*k*h,0),c&&b&&!f&&!d&&!y||_||b&&!f&&d&&!y){var L=-p.zoomSpeed*k/window.innerHeight*(S-u.lastT())*100;u.pan(S,0,0,h*(Math.exp(L)-1))}return m=r,v=n,g=a,!0}}t=t||document.body,e=e||{};var 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h=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),f=h?"manual":"auto",d=r("aspectmode",f);h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===d&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode),l(t,e,{font:n.font,scene:n.id,data:n.fullData,bgColor:s,calendar:n.calendar}),o.getComponentMethod("annotations3d","handleDefaults")(t,e,n),r("dragmode",n.getDfltFromLayout("dragmode")),r("hovermode",n.getDfltFromLayout("hovermode"))}var i=t("../../../lib"),a=t("../../../components/color"),o=t("../../../registry"),s=t("../../subplot_defaults"),l=t("./axis_defaults"),u=t("./layout_attributes");e.exports=function(t,e,r){function a(e){if(!o){return i.validate(t[e],u[e])?t[e]:void 0}}var o=e._basePlotModules.length>1;s(t,e,r,{type:"gl3d",attributes:u,handleDefaults:n,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:a,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{"../../../components/color":604,"../../../lib":728,"../../../registry":846,"../../subplot_defaults":838,"./axis_defaults":814,"./layout_attributes":817}],817:[function(t,e,r){"use strict";function n(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}var i=t("./axis_attributes"),a=t("../../../lib/extend").extendFlat,o=t("../../../lib").counterRegex;e.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:a(n(0,0,1),{}),center:a(n(0,0,0),{}),eye:a(n(1.25,1.25,1.25),{}),editType:"camera"},domain:{x:{valType:"info_array",items:[{valType:"number",min:0,max:1,editType:"plot"},{valType:"number",min:0,max:1,editType:"plot"}],dflt:[0,1],editType:"plot"},y:{valType:"info_array",items:[{valType:"number",min:0,max:1,editType:"plot"},{valType:"number",min:0,max:1,editType:"plot"}],dflt:[0,1],editType:"plot"},editType:"plot"},aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 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a=t("../../../lib/str2rgbarray"),o=["xaxis","yaxis","zaxis"];n.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[o[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=a(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=i},{"../../../lib/str2rgbarray":749}],819:[function(t,e,r){"use strict";function n(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}function i(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,i=t.fullSceneLayout,c=[[],[],[]],h=0;h<3;++h){var f=i[l[h]];if(f._length=(r[h].hi-r[h].lo)*r[h].pixelsPerDataUnit/t.dataScale[h],Math.abs(f._length)===1/0)c[h]=[];else{f.range[0]=r[h].lo/t.dataScale[h],f.range[1]=r[h].hi/t.dataScale[h],f._m=1/(t.dataScale[h]*r[h].pixelsPerDataUnit),f.range[0]===f.range[1]&&(f.range[0]-=1,f.range[1]+=1);var d=f.tickmode;if("auto"===f.tickmode){f.tickmode="linear";var p=f.nticks||o.constrain(f._length/40,4,9);a.autoTicks(f,Math.abs(f.range[1]-f.range[0])/p)}for(var m=a.calcTicks(f),v=0;v<m.length;++v)m[v].x=m[v].x*t.dataScale[h],m[v].text=s(m[v].text);c[h]=m,f.tickmode=d}}e.ticks=c;for(var h=0;h<3;++h){u[h]=.5*(t.glplot.bounds[0][h]+t.glplot.bounds[1][h]);for(var v=0;v<2;++v)e.bounds[v][h]=t.glplot.bounds[v][h]}t.contourLevels=n(c)}e.exports=i;var a=t("../../cartesian/axes"),o=t("../../../lib"),s=t("../../../lib/html2unicode"),l=["xaxis","yaxis","zaxis"],u=[0,0,0]},{"../../../lib":728,"../../../lib/html2unicode":726,"../../cartesian/axes":772}],820:[function(t,e,r){"use strict";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}function i(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}e.exports=i},{}],821:[function(t,e,r){"use strict";function n(t){function e(e,r){var n=t.fullSceneLayout[e];return v.tickText(n,n.d2l(r),"hover").text}var r,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,"viewBox","0 0 "+a+" "+o),n.setAttributeNS(null,"width",a),n.setAttributeNS(null,"height",o),k(t),t.glplot.axes.update(t.axesOptions);for(var s=Object.keys(t.traces),l=null,u=t.glplot.selection,c=0;c<s.length;++c)r=t.traces[s[c]],"skip"!==r.data.hoverinfo&&r.handlePick(u)&&(l=r),r.setContourLevels&&r.setContourLevels();var h;if(null!==l){var f=_(t.glplot.cameraParams,u.dataCoordinate);r=l.data;var d=u.index,p=g.castHoverinfo(r,t.fullLayout,d),m=e("xaxis",u.traceCoordinate[0]),y=e("yaxis",u.traceCoordinate[1]),b=e("zaxis",u.traceCoordinate[2]);if("all"!==p){var x=p.split("+");-1===x.indexOf("x")&&(m=void 0),-1===x.indexOf("y")&&(y=void 0),-1===x.indexOf("z")&&(b=void 0),-1===x.indexOf("text")&&(u.textLabel=void 0),-1===x.indexOf("name")&&(l.name=void 0)}t.fullSceneLayout.hovermode&&g.loneHover({x:(.5+.5*f[0]/f[3])*a,y:(.5-.5*f[1]/f[3])*o,xLabel:m,yLabel:y,zLabel:b,text:u.textLabel,name:l.name,color:g.castHoverOption(r,d,"bgcolor")||l.color,borderColor:g.castHoverOption(r,d,"bordercolor"),fontFamily:g.castHoverOption(r,d,"font.family"),fontSize:g.castHoverOption(r,d,"font.size"),fontColor:g.castHoverOption(r,d,"font.color")},{container:n,gd:t.graphDiv});var w={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:r._input,fullData:r,curveNumber:r.index,pointNumber:d};g.appendArrayPointValue(w,r,d);var M={points:[w]};u.buttons&&u.distance<5?t.graphDiv.emit("plotly_click",M):t.graphDiv.emit("plotly_hover",M),h=M}else g.loneUnhover(n),t.graphDiv.emit("plotly_unhover",h);t.drawAnnotations(t)}function i(t,e,r,i){var a={canvas:r,gl:i,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1};if(t.staticMode){if(!(h||(c=document.createElement("canvas"),h=d({canvas:c,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");a.pixelRatio=t.pixelRatio,a.gl=h,a.canvas=c}try{t.glplot=f(a)}catch(e){b(t)}var o=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+".camera"]=u(t.camera),t.saveCamera(t.graphDiv.layout),t.graphDiv.emit("plotly_relayout",e)}};if(t.glplot.canvas.addEventListener("mouseup",o.bind(null,t)),t.glplot.canvas.addEventListener("wheel",o.bind(null,t)),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",function(t){m.warn("Lost WebGL context."),t.preventDefault()}),!t.camera){var s=t.fullSceneLayout.camera;t.camera=x(t.container,{center:[s.center.x,s.center.y,s.center.z], -eye:[s.eye.x,s.eye.y,s.eye.z],up:[s.up.x,s.up.y,s.up.z],zoomMin:.1,zoomMax:100,mode:"orbit"})}return t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=n.bind(null,t),t.traces={},!0}function a(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=w(e[this.id]),this.spikeOptions=M(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=p.getComponentMethod("annotations3d","convert"),this.drawAnnotations=p.getComponentMethod("annotations3d","draw"),i(this,e)}function o(t,e,r,n,i){for(var a,o=0;o<e.length;++o)if(Array.isArray(e[o]))for(var s=0;s<e[o].length;++s)a=t.d2l(e[o][s],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a));else a=t.d2l(e[o],0,i),!isNaN(a)&&isFinite(a)&&(n[0][r]=Math.min(n[0][r],a),n[1][r]=Math.max(n[1][r],a))}function s(t,e,r){var n=t.fullSceneLayout;o(n.xaxis,e.x,0,r,e.xcalendar),o(n.yaxis,e.y,1,r,e.ycalendar),o(n.zaxis,e.z,2,r,e.zcalendar)}function l(t){return[[t.eye.x,t.eye.y,t.eye.z],[t.center.x,t.center.y,t.center.z],[t.up.x,t.up.y,t.up.z]]}function u(t){return{up:{x:t.up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]}}}var c,h,f=t("gl-plot3d"),d=t("webgl-context"),p=t("../../registry"),m=t("../../lib"),v=t("../../plots/cartesian/axes"),g=t("../../components/fx"),y=t("../../lib/str2rgbarray"),b=t("../../lib/show_no_webgl_msg"),x=t("./camera"),_=t("./project"),w=t("./layout/convert"),M=t("./layout/spikes"),k=t("./layout/tick_marks"),A=a.prototype;A.recoverContext=function(){function t(){return r.isContextLost()?void requestAnimationFrame(t):i(e,e.fullLayout,n,r)?void e.plot.apply(e,e.plotArgs):void m.error("Catastrophic and unrecoverable WebGL error. Context lost.")}var e=this,r=this.glplot.gl,n=this.glplot.canvas;this.glplot.dispose(),requestAnimationFrame(t)};var T=["xaxis","yaxis","zaxis"];A.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,l,u,c=e[this.id],h=r[this.id];c.bgcolor?this.glplot.clearColor=y(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.glplot.update({}),this.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)n=t[a],!0===n.visible&&s(this,n,f);var d=[1,1,1];for(o=0;o<3;++o)f[0][o]>f[1][o]?d[o]=1:f[1][o]===f[0][o]?d[o]=1:d[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=d,this.convertAnnotations(this),a=0;a<t.length;++a)n=t[a],!0===n.visible&&(i=this.traces[n.uid],i?i.update(n):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible)continue t;i=this.traces[p[a]],i.dispose(),delete this.traces[p[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var m=[[0,0,0],[0,0,0]],v=[],g={};for(a=0;a<3;++a){if(l=c[T[a]],u=l.type,u in g?(g[u].acc*=d[a],g[u].count+=1):g[u]={acc:d[a],count:1},l.autorange){m[0][a]=1/0,m[1][a]=-1/0;var b=this.glplot.objects,x=this.fullSceneLayout.annotations||[],_=l._name.charAt(0);for(o=0;o<b.length;o++){var w=b[o].bounds;m[0][a]=Math.min(m[0][a],w[0][a]/d[a]),m[1][a]=Math.max(m[1][a],w[1][a]/d[a])}for(o=0;o<x.length;o++){var M=x[o];if(M.visible){var k=l.r2l(M[_]);m[0][a]=Math.min(m[0][a],k),m[1][a]=Math.max(m[1][a],k)}}if("rangemode"in l&&"tozero"===l.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var A=m[1][a]-m[0][a];m[0][a]-=A/32,m[1][a]+=A/32}}else{var S=l.range;m[0][a]=l.r2l(S[0]),m[1][a]=l.r2l(S[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.bounds[0][a]=m[0][a]*d[a],this.glplot.bounds[1][a]=m[1][a]*d[a]}var E=[1,1,1];for(a=0;a<3;++a){l=c[T[a]],u=l.type;var L=g[u];E[a]=Math.pow(L.acc,1/L.count)/d[a]}var C;if("auto"===c.aspectmode)C=Math.max.apply(null,E)/Math.min.apply(null,E)<=4?E:[1,1,1];else if("cube"===c.aspectmode)C=[1,1,1];else if("data"===c.aspectmode)C=E;else{if("manual"!==c.aspectmode)throw new Error("scene.js aspectRatio was not one of the enumerated types");var I=c.aspectratio;C=[I.x,I.y,I.z]}c.aspectratio.x=h.aspectratio.x=C[0],c.aspectratio.y=h.aspectratio.y=C[1],c.aspectratio.z=h.aspectratio.z=C[2],this.glplot.aspect=C;var z=c.domain||null,D=e._size||null;if(z&&D){var P=this.container.style;P.position="absolute",P.left=D.l+z.x[0]*D.w+"px",P.top=D.t+(1-z.y[1])*D.h+"px",P.width=D.w*(z.x[1]-z.x[0])+"px",P.height=D.h*(z.y[1]-z.y[0])+"px"}this.glplot.redraw()}},A.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener("wheel",this.camera.wheelListener),this.camera=this.glplot.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},A.getCamera=function(){return this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()),u(this.glplot.camera)},A.setCamera=function(t){this.glplot.camera.lookAt.apply(this,l(t))},A.saveCamera=function(t){var e=this.getCamera(),r=m.nestedProperty(t,this.id+".camera"),n=r.get(),i=!1;if(void 0===n)i=!0;else for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!function(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}(e,n,a,o)){i=!0;break}return i&&r.set(e),i},A.updateFx=function(t,e){var r=this.camera;r&&("orbit"===t?(r.mode="orbit",r.keyBindingMode="rotate"):"turntable"===t?(r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate"):r.keyBindingMode=t),this.fullSceneLayout.hovermode=e},A.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(c),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,n=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*n*4);e.readPixels(0,0,r,n,e.RGBA,e.UNSIGNED_BYTE,i);for(var a=0,o=n-1;a<o;++a,--o)for(var s=0;s<r;++s)for(var l=0;l<4;++l){var u=i[4*(r*a+s)+l];i[4*(r*a+s)+l]=i[4*(r*o+s)+l],i[4*(r*o+s)+l]=u}var h=document.createElement("canvas");h.width=r,h.height=n;var f=h.getContext("2d"),d=f.createImageData(r,n);d.data.set(i),f.putImageData(d,0,0);var p;switch(t){case"jpeg":p=h.toDataURL("image/jpeg");break;case"webp":p=h.toDataURL("image/webp");break;default:p=h.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(c),p},A.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[T[t]];v.setConvert(e,this.fullLayout),e.setScale=m.noop}},e.exports=a},{"../../components/fx":645,"../../lib":728,"../../lib/show_no_webgl_msg":747,"../../lib/str2rgbarray":749,"../../plots/cartesian/axes":772,"../../registry":846,"./camera":810,"./layout/convert":815,"./layout/spikes":818,"./layout/tick_marks":819,"./project":820,"gl-plot3d":221,"webgl-context":563}],822:[function(t,e,r){"use strict";var n=t("./font_attributes"),i=t("../components/color/attributes"),a=n({editType:"calc"});a.family.dflt='"Open Sans", verdana, arial, sans-serif',a.size.dflt=12,a.color.dflt=i.defaultLine,e.exports={font:a,title:{valType:"string",dflt:"Click to enter Plot title",editType:"layoutstyle"},titlefont:n({editType:"layoutstyle"}),autosize:{valType:"boolean",dflt:!1,editType:"none"},width:{valType:"number",min:10,dflt:700,editType:"none"},height:{valType:"number",min:10,dflt:450,editType:"none"},margin:{l:{valType:"number",min:0,dflt:80,editType:"calc"},r:{valType:"number",min:0,dflt:80,editType:"calc"},t:{valType:"number",min:0,dflt:100,editType:"calc"},b:{valType:"number",min:0,dflt:80,editType:"calc"},pad:{valType:"number",min:0,dflt:0,editType:"calc"},autoexpand:{valType:"boolean",dflt:!0,editType:"calc"},editType:"calc"},paper_bgcolor:{valType:"color",dflt:i.background,editType:"plot"},plot_bgcolor:{valType:"color",dflt:i.background,editType:"layoutstyle"},separators:{valType:"string",dflt:".,",editType:"plot"},hidesources:{valType:"boolean",dflt:!1,editType:"plot"},smith:{valType:"enumerated",values:[!1],dflt:!1,editType:"none"},showlegend:{valType:"boolean",editType:"legend"}}},{"../components/color/attributes":603,"./font_attributes":796}],823:[function(t,e,r){"use strict";e.exports={styleUrlPrefix:"mapbox://styles/mapbox/",styleUrlSuffix:"v9",controlContainerClassName:"mapboxgl-control-container",noAccessTokenErrorMsg:["Missing Mapbox access token.","Mapbox trace type require a Mapbox access token to be registered.","For example:"," Plotly.plot(gd, data, layout, { mapboxAccessToken: 'my-access-token' });","More info here: https://www.mapbox.com/help/define-access-token/"].join("\n"),mapOnErrorMsg:"Mapbox error."}},{}],824:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t.split(" "),i=r[0],a=r[1],o=Array.isArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,u=["",""],c=[0,0];switch(i){case"top":u[0]="top",c[1]=-l;break;case"bottom":u[0]="bottom",c[1]=l}switch(a){case"left":u[1]="right",c[0]=-s;break;case"right":u[1]="left",c[0]=s}var h;return h=u[0]&&u[1]?u.join("-"):u[0]?u[0]:u[1]?u[1]:"center",{anchor:h,offset:c}}},{"../../lib":728}],825:[function(t,e,r){"use strict";function n(t,e){var r=t._fullLayout,n=t._context;if(""===n.mapboxAccessToken)return"";for(var i=n.mapboxAccessToken,a=0;a<e.length;a++){var o=r[e[a]];if(o.accesstoken){i=o.accesstoken;break}}if(!i)throw new Error(u.noAccessTokenErrorMsg);return i}var i=t("mapbox-gl"),a=t("../../lib"),o=t("../plots"),s=t("../../constants/xmlns_namespaces"),l=t("./mapbox"),u=t("./constants");r.name="mapbox",r.attr="subplot",r.idRoot="mapbox",r.idRegex=r.attrRegex=a.counterRegex("mapbox"),r.attributes={subplot:{valType:"subplotid",dflt:"mapbox",editType:"calc"}},r.layoutAttributes=t("./layout_attributes"),r.supplyLayoutDefaults=t("./layout_defaults"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,s=o.getSubplotIds(e,"mapbox"),u=n(t,s);i.accessToken=u;for(var c=0;c<s.length;c++){var h=s[c],f=o.getSubplotCalcData(r,"mapbox",h),d=e[h],p=d._subplot;d.accesstoken=u,p||(p=l({gd:t,container:e._glcontainer.node(),id:h,fullLayout:e,staticPlot:t._context.staticPlot}),e[h]._subplot=p),p.viewInitial||(p.viewInitial={center:a.extendFlat({},d.center),zoom:d.zoom,bearing:d.bearing,pitch:d.pitch}),p.plot(f,e,t._promises)}},r.clean=function(t,e,r,n){for(var i=o.getSubplotIds(n,"mapbox"),a=0;a<i.length;a++){var s=i[a];!e[s]&&n[s]._subplot&&n[s]._subplot.destroy()}},r.toSVG=function(t){for(var e=t._fullLayout,r=o.getSubplotIds(e,"mapbox"),n=e._size,i=0;i<r.length;i++){var a=e[r[i]],l=a.domain,u=a._subplot,c=u.toImage("png");e._glimages.append("svg:image").attr({xmlns:s.svg,"xlink:href":c,x:n.l+n.w*l.x[0],y:n.t+n.h*(1-l.y[1]),width:n.w*(l.x[1]-l.x[0]),height:n.h*(l.y[1]-l.y[0]),preserveAspectRatio:"none"}),u.destroy()}},r.updateFx=function(t){for(var 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o=a({},t.layout);if([[o,["plot_bgcolor"],["backgroundColor"]],[o,["showlegend"],["showLegend"]],[o,["radialaxis"],["radialAxis"]],[o,["angularaxis"],["angularAxis"]],[o.angularaxis,["showline"],["gridLinesVisible"]],[o.angularaxis,["showticklabels"],["labelsVisible"]],[o.angularaxis,["nticks"],["ticksCount"]],[o.angularaxis,["tickorientation"],["tickOrientation"]],[o.angularaxis,["ticksuffix"],["ticksSuffix"]],[o.angularaxis,["range"],["domain"]],[o.angularaxis,["endpadding"],["endPadding"]],[o.radialaxis,["showline"],["gridLinesVisible"]],[o.radialaxis,["tickorientation"],["tickOrientation"]],[o.radialaxis,["ticksuffix"],["ticksSuffix"]],[o.radialaxis,["range"],["domain"]],[o.angularAxis,["showline"],["gridLinesVisible"]],[o.angularAxis,["showticklabels"],["labelsVisible"]],[o.angularAxis,["nticks"],["ticksCount"]],[o.angularAxis,["tickorientation"],["tickOrientation"]],[o.angularAxis,["ticksuffix"],["ticksSuffix"]],[o.angularAxis,["range"],["domain"]],[o.angularAxis,["endpadding"],["endPadding"]],[o.radialAxis,["showline"],["gridLinesVisible"]],[o.radialAxis,["tickorientation"],["tickOrientation"]],[o.radialAxis,["ticksuffix"],["ticksSuffix"]],[o.radialAxis,["range"],["domain"]],[o.font,["outlinecolor"],["outlineColor"]],[o.legend,["traceorder"],["reverseOrder"]],[o,["labeloffset"],["labelOffset"]],[o,["defaultcolorrange"],["defaultColorRange"]]].forEach(function(t,r){s.util.translator.apply(null,t.concat(e))}),e?(void 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n=t("./ternary"),i=t("../../plots/plots"),a=t("../../lib").counterRegex;r.name="ternary",r.attr="subplot",r.idRoot="ternary",r.idRegex=r.attrRegex=a("ternary"),r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t.calcdata,a=i.getSubplotIds(e,"ternary"),o=0;o<a.length;o++){var s=a[o],l=i.getSubplotCalcData(r,"ternary",s),u=e[s]._subplot;u||(u=new n({id:s,graphDiv:t,container:e._ternarylayer.node()},e),e[s]._subplot=u),u.plot(l,e,t._promises)}},r.clean=function(t,e,r,n){for(var a=i.getSubplotIds(n,"ternary"),o=0;o<a.length;o++){var s=a[o],l=n[s]._subplot;!e[s]&&l&&(l.plotContainer.remove(),l.clipDef.remove(),l.clipDefRelative.remove())}}},{"../../lib":728,"../../plots/plots":831,"./layout/attributes":840,"./layout/defaults":843,"./layout/layout_attributes":844,"./ternary":845}],840:[function(t,e,r){"use 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hi) {\n return mclamp(p, lo, hi) == p;\n}\n\nfloat val(mat4 p, mat4 v) {\n return dot(matrixCompMult(p, v) * unit, unit);\n}\n\nvoid main() {\n\n float x = 0.5 * sign(pf[3]) + 0.5;\n float prominence = abs(pf[3]);\n float depth = 1.0 - prominence;\n\n mat4 pA = mat4(p0, p1, p2, p3);\n mat4 pB = mat4(p4, p5, p6, p7);\n mat4 pC = mat4(p8, p9, pa, pb);\n mat4 pD = mat4(pc, pd, pe, abs(pf));\n\n float show = float(mshow(pA, loA, hiA) &&\n mshow(pB, loB, hiB) &&\n mshow(pC, loC, hiC) &&\n mshow(pD, loD, hiD));\n\n vec2 yy = show * vec2(val(pA, dim2A) + val(pB, dim2B) + val(pC, dim2C) + val(pD, dim2D),\n val(pA, dim1A) + val(pB, dim1B) + val(pC, dim1C) + val(pD, dim1D));\n\n vec2 dimensionToggle = vec2(x, 1.0 - x);\n\n vec2 scatterToggle = vec2(scatter, 1.0 - scatter);\n\n float y = dot(yy, dimensionToggle);\n mat2 xy = mat2(viewBoxSize * yy + dimensionToggle, viewBoxSize * vec2(x, y));\n\n vec2 viewBoxXY = viewBoxPosition + xy * scatterToggle;\n\n float depthOrHide = depth + 2.0 * (1.0 - show);\n\n gl_Position = vec4(\n xyProjection * (2.0 * viewBoxXY / resolution - 1.0),\n depthOrHide,\n 1.0\n );\n\n // visible coloring\n float clampedColorIndex = clamp((prominence - colorClamp[0]) / (colorClamp[1] - colorClamp[0]), 0.0, 1.0);\n fragColor = texture2D(palette, vec2((clampedColorIndex * 255.0 + 0.5) / 256.0, 0.5));\n}\n",frag:"precision lowp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n gl_FragColor = fragColor;\n}\n",primitive:"lines",lineWidth:1,attributes:P,uniforms:{resolution:O.prop("resolution"),viewBoxPosition:O.prop("viewBoxPosition"),viewBoxSize:O.prop("viewBoxSize"),dim1A:O.prop("dim1A"),dim2A:O.prop("dim2A"),dim1B:O.prop("dim1B"),dim2B:O.prop("dim2B"),dim1C:O.prop("dim1C"),dim2C:O.prop("dim2C"),dim1D:O.prop("dim1D"),dim2D:O.prop("dim2D"),loA:O.prop("loA"),hiA:O.prop("hiA"),loB:O.prop("loB"),hiB:O.prop("hiB"),loC:O.prop("loC"),hiC:O.prop("hiC"),loD:O.prop("loD"),hiD:O.prop("hiD"),palette:R,colorClamp:O.prop("colorClamp"),scatter:O.prop("scatter")},offset:O.prop("offset"),count:O.prop("count")}),j=[0,1],N=[];return{setColorDomain:y,render:x,readPixel:w,readPixels:M,destroy:O.destroy}}},{"./constants":1001,regl:499}],1005:[function(t,e,r){"use strict";function n(t){return t.key}function i(t){return[t]}function a(t){return!("visible"in t)||t.visible}function o(t){var 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n,i,o,h,f,p,m=r.labelExtraY+(a?r.yLabelMax:r.yLabelMin),v=a?t.yLabelMin:t.yLabelMax,g=a?t.yLabelMax:t.yLabelMin,y=t.cyFinal+l(t.px0[1],t.px1[1]),b=m-v;if(b*c>0&&(t.labelExtraY=b),Array.isArray(e.pull))for(i=0;i<d.length;i++)(o=d[i])===t||(e.pull[t.i]||0)>=e.pull[o.i]||((t.pxmid[1]-o.pxmid[1])*c>0?(h=o.cyFinal+l(o.px0[1],o.px1[1]),(b=h-v-t.labelExtraY)*c>0&&(t.labelExtraY+=b)):(g+t.labelExtraY-y)*c>0&&(n=3*u*Math.abs(i-d.indexOf(t)),f=o.cxFinal+s(o.px0[0],o.px1[0]),(p=f+n-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*u>0&&(t.labelExtraX+=p)))}(m[p],g)}}}function s(t,e){var r,n,i,a,o,s,l,c,h,f,d=[];for(i=0;i<t.length;i++){if(o=t[i][0],s=o.trace,r=e.w*(s.domain.x[1]-s.domain.x[0]),n=e.h*(s.domain.y[1]-s.domain.y[0]),l=s.tiltaxis*Math.PI/180,c=s.pull,Array.isArray(c))for(c=0,a=0;a<s.pull.length;a++)s.pull[a]>c&&(c=s.pull[a]);o.r=Math.min(r/u(s.tilt,Math.sin(l),s.depth),n/u(s.tilt,Math.cos(l),s.depth))/(2+2*c),o.cx=e.l+e.w*(s.domain.x[1]+s.domain.x[0])/2,o.cy=e.t+e.h*(2-s.domain.y[1]-s.domain.y[0])/2,s.scalegroup&&-1===d.indexOf(s.scalegroup)&&d.push(s.scalegroup)}for(a=0;a<d.length;a++){for(f=1/0,h=d[a],i=0;i<t.length;i++)o=t[i][0],o.trace.scalegroup===h&&(f=Math.min(f,o.r*o.r/o.vTotal));for(i=0;i<t.length;i++)o=t[i][0],o.trace.scalegroup===h&&(o.r=Math.sqrt(f*o.vTotal))}}function l(t){function e(t){var e=h.r*Math.sin(t),r=-h.r*Math.cos(t);return d?[e*(1-s*n*n)+r*o*s,e*o*s+r*(1-s*i*i),Math.sin(a)*(r*i-e*n)]:[e,r]}var r,n,i,a,o,s,l,u,c,h=t[0],f=h.trace,d=f.tilt,p=f.rotation*Math.PI/180,m=2*Math.PI/h.vTotal,v="px0",g="px1";if("counterclockwise"===f.direction){for(l=0;l<t.length&&t[l].hidden;l++);if(l===t.length)return;p+=m*t[l].v,m*=-1,v="px1",g="px0"}for(d&&(a=d*Math.PI/180,r=f.tiltaxis*Math.PI/180,o=Math.sin(r)*Math.cos(r),s=1-Math.cos(a),n=Math.sin(r),i=Math.cos(r)),c=e(p),l=0;l<t.length;l++)u=t[l],u.hidden||(u[v]=c,p+=m*u.v/2,u.pxmid=e(p),u.midangle=p,p+=m*u.v/2,c=e(p),u[g]=c,u.largeArc=u.v>h.vTotal/2?1:0)}function u(t,e,r){if(!t)return 1;var n=Math.sin(t*Math.PI/180);return Math.max(.01,r*n*Math.abs(e)+2*Math.sqrt(1-n*n*e*e))}var c=t("d3"),h=t("../../components/fx"),f=t("../../components/color"),d=t("../../components/drawing"),p=t("../../lib/svg_text_utils"),m=t("./helpers");e.exports=function(t,e){var r=t._fullLayout;s(e,r._size);var u=r._pielayer.selectAll("g.trace").data(e);u.enter().append("g").attr({"stroke-linejoin":"round",class:"trace"}),u.exit().remove(),u.order(),u.each(function(e){var s=c.select(this),u=e[0],v=u.trace,g=(v.depth||0)*u.r*Math.sin(0)/2,y=v.tiltaxis||0,b=y*Math.PI/180,x=[g*Math.sin(b),g*Math.cos(b)],_=u.r*Math.cos(0),w=s.selectAll("g.part").data(v.tilt?["top","sides"]:["top"]);w.enter().append("g").attr("class",function(t){return t+" part"}),w.exit().remove(),w.order(),l(e),s.selectAll(".top").each(function(){var s=c.select(this).selectAll("g.slice").data(e);s.enter().append("g").classed("slice",!0),s.exit().remove();var l=[[[],[]],[[],[]]],g=!1;s.each(function(e){function o(n){n.originalEvent=c.event;var a=t._fullLayout,o=t._fullData[v.index],s=h.castHoverinfo(o,a,e.i);if("all"===s&&(s="label+text+value+percent+name"),t._dragging||!1===a.hovermode||"none"===s||"skip"===s||!s)return void h.hover(t,n,"pie");var l=i(e,u),f=w+e.pxmid[0]*(1-l),d=M+e.pxmid[1]*(1-l),p=r.separators,g=[];-1!==s.indexOf("label")&&g.push(e.label),-1!==s.indexOf("text")&&(o.hovertext?g.push(Array.isArray(o.hovertext)?o.hovertext[e.i]:o.hovertext):o.text&&o.text[e.i]&&g.push(o.text[e.i])),-1!==s.indexOf("value")&&g.push(m.formatPieValue(e.v,p)),-1!==s.indexOf("percent")&&g.push(m.formatPiePercent(e.v/u.vTotal,p)),h.loneHover({x0:f-l*u.r,x1:f+l*u.r,y:d,text:g.join("<br>"),name:-1!==s.indexOf("name")?o.name:void 0,idealAlign:e.pxmid[0]<0?"left":"right",color:h.castHoverOption(v,e.i,"bgcolor")||e.color,borderColor:h.castHoverOption(v,e.i,"bordercolor"),fontFamily:h.castHoverOption(v,e.i,"font.family"),fontSize:h.castHoverOption(v,e.i,"font.size"),fontColor:h.castHoverOption(v,e.i,"font.color")},{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:t}),h.hover(t,n,"pie"),T=!0}function s(e){e.originalEvent=c.event,t.emit("plotly_unhover",{event:c.event,points:[e]}),T&&(h.loneUnhover(r._hoverlayer.node()),T=!1)}function f(){t._hoverdata=[e],t._hoverdata.trace=u.trace,h.click(t,c.event)}function b(t,r,n,i){return"a"+i*u.r+","+i*_+" "+y+" "+e.largeArc+(n?" 1 ":" 0 ")+i*(r[0]-t[0])+","+i*(r[1]-t[1])}if(e.hidden)return void c.select(this).selectAll("path,g").remove();e.pointNumber=e.i,e.curveNumber=v.index,l[e.pxmid[1]<0?0:1][e.pxmid[0]<0?0:1].push(e);var w=u.cx+x[0],M=u.cy+x[1],k=c.select(this),A=k.selectAll("path.surface").data([e]),T=!1;if(A.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),k.select("path.textline").remove(),k.on("mouseover",o).on("mouseout",s).on("click",f),v.pull){var S=+(Array.isArray(v.pull)?v.pull[e.i]:v.pull)||0;S>0&&(w+=S*e.pxmid[0],M+=S*e.pxmid[1])}e.cxFinal=w,e.cyFinal=M;var E=v.hole;if(e.v===u.vTotal){var L="M"+(w+e.px0[0])+","+(M+e.px0[1])+b(e.px0,e.pxmid,!0,1)+b(e.pxmid,e.px0,!0,1)+"Z";E?A.attr("d","M"+(w+E*e.px0[0])+","+(M+E*e.px0[1])+b(e.px0,e.pxmid,!1,E)+b(e.pxmid,e.px0,!1,E)+"Z"+L):A.attr("d",L)}else{var C=b(e.px0,e.px1,!0,1);if(E){var I=1-E;A.attr("d","M"+(w+E*e.px1[0])+","+(M+E*e.px1[1])+b(e.px1,e.px0,!1,E)+"l"+I*e.px0[0]+","+I*e.px0[1]+C+"Z")}else A.attr("d","M"+w+","+M+"l"+e.px0[0]+","+e.px0[1]+C+"Z")}var z=Array.isArray(v.textposition)?v.textposition[e.i]:v.textposition,D=k.selectAll("g.slicetext").data(e.text&&"none"!==z?[0]:[]);D.enter().append("g").classed("slicetext",!0),D.exit().remove(),D.each(function(){var r=c.select(this).selectAll("text").data([0]);r.enter().append("text").attr("data-notex",1),r.exit().remove(),r.text(e.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(d.font,"outside"===z?v.outsidetextfont:v.insidetextfont).call(p.convertToTspans,t);var i,o=d.bBox(r.node());"outside"===z?i=a(o,e):(i=n(o,e,u),"auto"===z&&i.scale<1&&(r.call(d.font,v.outsidetextfont),v.outsidetextfont.family===v.insidetextfont.family&&v.outsidetextfont.size===v.insidetextfont.size||(o=d.bBox(r.node())),i=a(o,e)));var s=w+e.pxmid[0]*i.rCenter+(i.x||0),l=M+e.pxmid[1]*i.rCenter+(i.y||0);i.outside&&(e.yLabelMin=l-o.height/2,e.yLabelMid=l,e.yLabelMax=l+o.height/2,e.labelExtraX=0,e.labelExtraY=0,g=!0),r.attr("transform","translate("+s+","+l+")"+(i.scale<1?"scale("+i.scale+")":"")+(i.rotate?"rotate("+i.rotate+")":"")+"translate("+-(o.left+o.right)/2+","+-(o.top+o.bottom)/2+")")})}),g&&o(l,v),s.each(function(t){if(t.labelExtraX||t.labelExtraY){var e=c.select(this),r=e.select("g.slicetext text");r.attr("transform","translate("+t.labelExtraX+","+t.labelExtraY+")"+r.attr("transform"));var n=t.cxFinal+t.pxmid[0],i=t.cyFinal+t.pxmid[1],a="M"+n+","+i,o=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var s=t.labelExtraX*t.pxmid[1]/t.pxmid[0],l=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(s)>Math.abs(l)?a+="l"+l*t.pxmid[0]/t.pxmid[1]+","+l+"H"+(n+t.labelExtraX+o):a+="l"+t.labelExtraX+","+s+"v"+(l-s)+"h"+o}else a+="V"+(t.yLabelMid+t.labelExtraY)+"h"+o;e.append("path").classed("textline",!0).call(f.stroke,v.outsidetextfont.color).attr({"stroke-width":Math.min(2,v.outsidetextfont.size/8),d:a,fill:"none"})}})})}),setTimeout(function(){u.selectAll("tspan").each(function(){var t=c.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))})},0)}},{"../../components/color":604,"../../components/drawing":628,"../../components/fx":645,"../../lib/svg_text_utils":750,"./helpers":1011,d3:122}],1016:[function(t,e,r){"use strict";var n=t("d3"),i=t("./style_one");e.exports=function(t){t._fullLayout._pielayer.selectAll(".trace").each(function(t){var e=t[0],r=e.trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(".top path.surface").each(function(t){n.select(this).call(i,t,r)})})}},{"./style_one":1017,d3:122}],1017:[function(t,e,r){"use strict";var n=t("../../components/color");e.exports=function(t,e,r){var i=r.marker.line.color;Array.isArray(i)&&(i=i[e.i]||n.defaultLine);var a=r.marker.line.width||0;Array.isArray(a)&&(a=a[e.i]||0),t.style({"stroke-width":a}).call(n.fill,e.color).call(n.stroke,i)}},{"../../components/color":604}],1018:[function(t,e,r){"use strict";var n=t("../scattergl/attributes");e.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"}}},{"../scattergl/attributes":1077}],1019:[function(t,e,r){"use strict";function n(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=a(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}function i(t,e){var r=new n(t,e.uid);return r.update(e),r}var a=t("gl-pointcloud2d"),o=t("../../lib/str2rgbarray"),s=t("../scatter/get_trace_color"),l=["xaxis","yaxis"],u=n.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,a,s,l=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,c=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,f=t.indices,d=this.bounds;if(c){if(n=c,e=c.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(s=0;s<e;s++)i=n[2*s],a=n[2*s+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);if(f)r=f;else for(r=new Int32Array(e),s=0;s<e;s++)r[s]=s}else for(e=l.length,n=new Float32Array(2*e),r=new Int32Array(e),s=0;s<e;s++)i=l[s],a=u[s],r[s]=s,n[2*s]=i,n[2*s+1]=a,i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),a<d[1]&&(d[1]=a),a>d[3]&&(d[3]=a);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var p=o(t.marker.color),m=o(t.marker.border.color),v=t.opacity*t.marker.opacity;p[3]*=v,this.pointcloudOptions.color=p;var g=t.marker.blend;if(null===g){g=l.length<100||u.length<100}this.pointcloudOptions.blend=g,m[3]*=v,this.pointcloudOptions.borderColor=m;var y=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=y,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions),this.expandAxesFast(d,b/2)},u.expandAxesFast=function(t,e){for(var r,n,i,a=e||.5,o=0;o<2;o++)r=this.scene[l[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},u.dispose=function(){this.pointcloud.dispose()},e.exports=i},{"../../lib/str2rgbarray":749,"../scatter/get_trace_color":1040,"gl-pointcloud2d":230}],1020:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a("x"),a("y"),a("xbounds"),a("ybounds"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a("text"),a("marker.color",r),a("marker.opacity"),a("marker.blend"),a("marker.sizemin"),a("marker.sizemax"),a("marker.border.color",r),a("marker.border.arearatio")}},{"../../lib":728,"./attributes":1018}],1021:[function(t,e,r){"use strict";var n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.calc=t("../scatter3d/calc"),n.plot=t("./convert"),n.moduleType="trace",n.name="pointcloud",n.basePlotModule=t("../../plots/gl2d"),n.categories=["gl2d","showLegend"],n.meta={},e.exports=n},{"../../plots/gl2d":808,"../scatter3d/calc":1056,"./attributes":1018,"./convert":1019,"./defaults":1020}],1022:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),i=t("../../plots/attributes"),a=t("../../components/color/attributes"),o=t("../../components/fx/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll;e.exports=l({hoverinfo:s({},i.hoverinfo,{flags:["label","text","value","percent","name"]}),hoverlabel:o.hoverlabel,domain:{x:{valType:"info_array",items:[{valType:"number",min:0,max:1},{valType:"number",min:0,max:1}],dflt:[0,1]},y:{valType:"info_array",items:[{valType:"number",min:0,max:1},{valType:"number",min:0,max:1}],dflt:[0,1]}},orientation:{valType:"enumerated",values:["v","h"],dflt:"h"},valueformat:{valType:"string",dflt:".3s"},valuesuffix:{valType:"string",dflt:""},arrangement:{valType:"enumerated",values:["snap","perpendicular","freeform","fixed"],dflt:"snap"},textfont:n({}),node:{label:{valType:"data_array",dflt:[]},color:{valType:"color",arrayOk:!0},line:{color:{valType:"color",dflt:a.defaultLine,arrayOk:!0},width:{valType:"number",min:0,dflt:.5,arrayOk:!0}},pad:{valType:"number",arrayOk:!1,min:0,dflt:20},thickness:{valType:"number",arrayOk:!1,min:1,dflt:20}},link:{label:{valType:"data_array",dflt:[]},color:{valType:"color",arrayOk:!0},line:{color:{valType:"color",dflt:a.defaultLine,arrayOk:!0},width:{valType:"number",min:0,dflt:0,arrayOk:!0}},source:{valType:"data_array",dflt:[]},target:{valType:"data_array",dflt:[]},value:{valType:"data_array",dflt:[]}}},"calc","nested")},{"../../components/color/attributes":603,"../../components/fx/attributes":637,"../../lib/extend":717,"../../plot_api/edit_types":756,"../../plots/attributes":770,"../../plots/font_attributes":796}],1023:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../plots/plots"),a=t("./plot"),o=t("../../components/fx/layout_attributes");r.name="sankey",r.attr="type",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},"plot","nested"),r.plot=function(t){var e=i.getSubplotCalcData(t.calcdata,"sankey","sankey");e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has("sankey"),a=e._has&&e._has("sankey");i&&!a&&n._paperdiv.selectAll(".sankey").remove()}},{"../../components/fx/layout_attributes":646,"../../plot_api/edit_types":756,"../../plots/plots":831,"./plot":1028}],1024:[function(t,e,r){"use strict";function n(t,e,r){for(var n=t.map(function(){return[]}),a=0;a<Math.min(e.length,r.length);a++){if(e[a]===r[a])return!0;n[e[a]].push(r[a])}return i(n).components.some(function(t){return t.length>1})}var i=t("strongly-connected-components"),a=t("../../lib");e.exports=function(t,e){return n(e.node.label,e.link.source,e.link.target)&&(a.error("Circularity is present in the Sankey data. Removing all nodes and links."),e.link.label=[],e.link.source=[],e.link.target=[],e.link.value=[],e.link.color=[],e.node.label=[],e.node.color=[]),[{link:e.link,node:e.node}]}},{"../../lib":728,"strongly-connected-components":528}],1025:[function(t,e,r){"use strict";e.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:"cubic-in-out"}},{}],1026:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../components/color/attributes").defaults,o=t("../../components/color"),s=t("tinycolor2");e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,i,r,a)}u("node.label"),u("node.pad"),u("node.thickness"),u("node.line.color"),u("node.line.width");var c=function(t){return a[t%a.length]};u("node.color",e.node.label.map(function(t,e){return o.addOpacity(c(e),.8)})),u("link.label"),u("link.source"),u("link.target"),u("link.value"),u("link.line.color"),u("link.line.width"),u("link.color",e.link.value.map(function(){return s(l.paper_bgcolor).getLuminance()<.333?"rgba(255, 255, 255, 0.6)":"rgba(0, 0, 0, 0.2)"})),u("domain.x"),u("domain.y"),u("orientation"),u("valueformat"),u("valuesuffix"),u("arrangement"),n.coerceFont(u,"textfont",n.extendFlat({},l.font));var h=function(t,r){return-1===e.link.source.indexOf(r)&&-1===e.link.target.indexOf(r)};e.node.label.some(h)&&n.warn("Some of the nodes are neither sources nor targets, they will not be displayed.")}},{"../../components/color":604,"../../components/color/attributes":603,"../../lib":728,"./attributes":1022,tinycolor2:534}],1027:[function(t,e,r){"use strict";var n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.calc=t("./calc"),n.plot=t("./plot"),n.moduleType="trace",n.name="sankey",n.basePlotModule=t("./base_plot"),n.categories=["noOpacity"],n.meta={},e.exports=n},{"./attributes":1022,"./base_plot":1023,"./calc":1024,"./defaults":1026,"./plot":1028}],1028:[function(t,e,r){"use strict";function n(t){return""!==t}function i(t,e){return t.filter(function(t){return t.key===e.traceId})}function a(t,e){p.select(t).select("path").style("fill-opacity",e),p.select(t).select("rect").style("fill-opacity",e)}function o(t){p.select(t).select("text.name").style("fill","black")}function s(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function l(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function u(t,e,r){ -e&&r&&i(r,e).selectAll(".sankeyLink").filter(s(e)).call(h.bind(0,e,r,!1))}function c(t,e,r){e&&r&&i(r,e).selectAll(".sankeyLink").filter(s(e)).call(f.bind(0,e,r,!1))}function h(t,e,r,n){var a=n.datum().link.label;n.style("fill-opacity",.4),a&&i(e,t).selectAll(".sankeyLink").filter(function(t){return t.link.label===a}).style("fill-opacity",.4),r&&i(e,t).selectAll(".sankeyNode").filter(l(t)).call(u)}function f(t,e,r,n){var a=n.datum().link.label;n.style("fill-opacity",function(t){return t.tinyColorAlpha}),a&&i(e,t).selectAll(".sankeyLink").filter(function(t){return t.link.label===a}).style("fill-opacity",function(t){return t.tinyColorAlpha}),r&&i(e,t).selectAll(".sankeyNode").filter(l(t)).call(c)}function d(t,e){var r=t.hoverlabel||{},n=y.nestedProperty(r,e).get();return!Array.isArray(n)&&n}var p=t("d3"),m=t("./render"),v=t("../../components/fx"),g=t("../../components/color"),y=t("../../lib");e.exports=function(t,e){var r=t._fullLayout,i=r._paper,s=r._size,l=function(e,r){var n=r.link;n.originalEvent=p.event,t._hoverdata=[n],v.click(t,{target:!0})},y=function(e,r,n){var i=r.link;i.originalEvent=p.event,p.select(e).call(h.bind(0,r,n,!0)),v.hover(t,i,"sankey")},b=function(e,i){var s=i.link.trace,l=t._fullLayout._paperdiv.node().getBoundingClientRect(),u=e.getBoundingClientRect(),c=u.left+u.width/2,h=u.top+u.height/2,f=v.loneHover({x:c-l.left,y:h-l.top,name:p.format(i.valueFormat)(i.link.value)+i.valueSuffix,text:[i.link.label||"",["Source:",i.link.source.label].join(" "),["Target:",i.link.target.label].join(" ")].filter(n).join("<br>"),color:d(s,"bgcolor")||g.addOpacity(i.tinyColorHue,1),borderColor:d(s,"bordercolor"),fontFamily:d(s,"font.family"),fontSize:d(s,"font.size"),fontColor:d(s,"font.color"),idealAlign:p.event.x<c?"right":"left"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});a(f,.65),o(f)},x=function(e,n,i){p.select(e).call(f.bind(0,n,i,!0)),t.emit("plotly_unhover",{event:p.event,points:[n.link]}),v.loneUnhover(r._hoverlayer.node())},_=function(e,r,n){var i=r.node;i.originalEvent=p.event,t._hoverdata=[i],p.select(e).call(c,r,n),v.click(t,{target:!0})},w=function(e,r,n){var i=r.node;i.originalEvent=p.event,p.select(e).call(u,r,n),v.hover(t,i,"sankey")},M=function(e,i){var s=i.node.trace,l=p.select(e).select(".nodeRect"),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),c=l.node().getBoundingClientRect(),h=c.left-2-u.left,f=c.right+2-u.left,m=c.top+c.height/4-u.top,g=v.loneHover({x0:h,x1:f,y:m,name:p.format(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,["Incoming flow count:",i.node.targetLinks.length].join(" "),["Outgoing flow count:",i.node.sourceLinks.length].join(" ")].filter(n).join("<br>"),color:d(s,"bgcolor")||i.tinyColorHue,borderColor:d(s,"bordercolor"),fontFamily:d(s,"font.family"),fontSize:d(s,"font.size"),fontColor:d(s,"font.color"),idealAlign:"left"},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});a(g,.85),o(g)},k=function(e,n,i){p.select(e).call(c,n,i),t.emit("plotly_unhover",{event:p.event,points:[n.node]}),v.loneUnhover(r._hoverlayer.node())};m(i,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},{linkEvents:{hover:y,follow:b,unhover:x,select:l},nodeEvents:{hover:w,follow:M,unhover:k,select:_}})}},{"../../components/color":604,"../../components/fx":645,"../../lib":728,"./render":1029,d3:122}],1029:[function(t,e,r){"use strict";function n(t){return t.key}function i(t){return[t]}function a(t){return t[0]}function o(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=t[e].x,t[e].originalY=t[e].y,-1===r.indexOf(t[e].x)&&r.push(t[e].x);for(r.sort(function(t,e){return t-e}),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}function s(t){t.lastDraggedX=t.x,t.lastDraggedY=t.y}function l(t){return function(e){return e.node.originalX===t.node.originalX}}function u(t){for(var e=0;e<t.length;e++)t[e].y=t[e].y+t[e].dy/2}function c(t){for(var e=0;e<t.length;e++)t[e].y=t[e].y-t[e].dy/2}function h(t,e,r){for(var n,i=a(e).trace,o=i.domain,s=i.node,l=i.link,c=i.arrangement,h="h"===i.orientation,f=i.node.pad,d=i.node.thickness,p=i.node.line.color,m=i.node.line.width,v=i.link.line.color,g=i.link.line.width,y=i.valueformat,b=i.valuesuffix,x=i.textfont,_=t.width*(o.x[1]-o.x[0]),w=t.height*(o.y[1]-o.y[0]),M=s.label.map(function(t,e){return{pointNumber:e,label:t,color:N.isArray(s.color)?s.color[e]:s.color}}),k=l.value.map(function(t,e){return{pointNumber:e,label:l.label[e],color:N.isArray(l.color)?l.color[e]:l.color,source:l.source[e],target:l.target[e],value:t}}),A=F().size(h?[_,w]:[w,_]).nodeWidth(d).nodePadding(f).nodes(M).links(k).layout(z.sankeyIterations),T=A.nodes(),S=0;S<T.length;S++)n=T[S],n.width=_,n.height=w;return u(M),{key:r,trace:i,guid:Math.floor(1e12*(1+Math.random())),horizontal:h,width:_,height:w,nodePad:f,nodeLineColor:p,nodeLineWidth:m,linkLineColor:v,linkLineWidth:g,valueFormat:y,valueSuffix:b,textFont:x,translateX:o.x[0]*_+t.margin.l,translateY:t.height-o.y[1]*t.height+t.margin.t,dragParallel:h?w:_,dragPerpendicular:h?_:w,nodes:M,links:k,arrangement:c,sankey:A,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function f(t,e,r){var n=P(r.color),i=r.source.label+"|"+r.target.label,a=t[i];t[i]=(a||0)+1;var o=i+"__"+t[i];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:o,traceId:e.key,link:r,tinyColorHue:O.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkLineColor:e.linkLineColor,linkLineWidth:e.linkLineWidth,valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,interactionState:e.interactionState}}function d(t,e,r){var n=P(r.color),i=z.nodePadAcross,a=e.nodePad/2,o=r.dx,s=Math.max(.5,r.dy),l=r.label,u=t[l];t[l]=(u||0)+1;var c=l+"__"+t[l];return r.trace=e.trace,r.curveNumber=e.trace.index,{key:c,traceId:e.key,node:r,nodePad:e.nodePad,nodeLineColor:e.nodeLineColor,nodeLineWidth:e.nodeLineWidth,textFont:e.textFont,size:e.horizontal?e.height:e.width,visibleWidth:Math.ceil(o),visibleHeight:s,zoneX:-i,zoneY:-a,zoneWidth:o+2*i,zoneHeight:s+2*a,labelY:e.horizontal?r.dy/2+1:r.dx/2+1,left:1===r.originalLayer,sizeAcross:e.width,forceLayouts:e.forceLayouts,horizontal:e.horizontal,darkBackground:n.getBrightness()<=128,tinyColorHue:O.tinyRGB(n),tinyColorAlpha:n.getAlpha(),valueFormat:e.valueFormat,valueSuffix:e.valueSuffix,sankey:e.sankey,arrangement:e.arrangement,uniqueNodeLabelPathId:[e.guid,e.key,c].join(" "),interactionState:e.interactionState}}function p(t){t.attr("transform",function(t){return"translate("+t.node.x.toFixed(3)+", "+(t.node.y-t.node.dy/2).toFixed(3)+")"})}function m(t){var e=t.sankey.nodes();c(e);var r=t.sankey.link()(t.link);return u(e),r}function v(t){t.call(p)}function g(t,e){t.call(v),e.attr("d",m)}function y(t){t.attr("width",function(t){return t.visibleWidth}).attr("height",function(t){return t.visibleHeight})}function b(t){return t.link.dy>1||t.linkLineWidth>0}function x(t){return"translate("+t.translateX+","+t.translateY+")"+(t.horizontal?"matrix(1 0 0 1 0 0)":"matrix(0 1 1 0 0 0)")}function _(t){return"translate("+(t.horizontal?0:t.labelY)+" "+(t.horizontal?t.labelY:0)+")"}function w(t){return D.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+z.nodeTextOffsetHorizontal:z.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-z.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-z.nodeTextOffsetHorizontal,0]])}function M(t){return t.horizontal?"matrix(1 0 0 1 0 0)":"matrix(0 1 1 0 0 0)"}function k(t){return t.horizontal?"scale(1 1)":"scale(-1 1)"}function A(t){return t.darkBackground&&!t.horizontal?"rgb(255,255,255)":"rgb(0,0,0)"}function T(t){return t.horizontal&&t.left?"100%":"0%"}function S(t,e,r){t.on(".basic",null).on("mouseover.basic",function(t){t.interactionState.dragInProgress||(r.hover(this,t,e),t.interactionState.hovered=[this,t])}).on("mousemove.basic",function(t){t.interactionState.dragInProgress||(r.follow(this,t),t.interactionState.hovered=[this,t])}).on("mouseout.basic",function(t){t.interactionState.dragInProgress||(r.unhover(this,t,e),t.interactionState.hovered=!1)}).on("click.basic",function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||r.select(this,t,e)})}function E(t,e,r){var n=D.behavior.drag().origin(function(t){return t.node}).on("dragstart",function(n){if("fixed"!==n.arrangement&&(N.raiseToTop(this),n.interactionState.dragInProgress=n.node,s(n.node),n.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,n.interactionState.hovered),n.interactionState.hovered=!1),"snap"===n.arrangement)){var i=n.traceId+"|"+Math.floor(n.node.originalX);n.forceLayouts[i]?n.forceLayouts[i].alpha(1):L(t,i,n),C(t,e,n,i)}}).on("drag",function(r){if("fixed"!==r.arrangement){var n=D.event.x,i=D.event.y;"snap"===r.arrangement?(r.node.x=n,r.node.y=i):("freeform"===r.arrangement&&(r.node.x=n),r.node.y=Math.max(r.node.dy/2,Math.min(r.size-r.node.dy/2,i))),s(r.node),"snap"!==r.arrangement&&(r.sankey.relayout(),g(t.filter(l(r)),e))}}).on("dragend",function(t){t.interactionState.dragInProgress=!1});t.on(".drag",null).call(n)}function L(t,e,r){var n=r.sankey.nodes().filter(function(t){return t.originalX===r.node.originalX});r.forceLayouts[e]=j.forceSimulation(n).alphaDecay(0).force("collide",j.forceCollide().radius(function(t){return t.dy/2+r.nodePad/2}).strength(1).iterations(z.forceIterations)).force("constrain",I(t,e,n,r)).stop()}function C(t,e,r,n){window.requestAnimationFrame(function i(){for(var a=0;a<z.forceTicksPerFrame;a++)r.forceLayouts[n].tick();r.sankey.relayout(),g(t.filter(l(r)),e),r.forceLayouts[n].alpha()>0&&window.requestAnimationFrame(i)})}function I(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/z.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}var z=t("./constants"),D=t("d3"),P=t("tinycolor2"),O=t("../../components/color"),R=t("../../components/drawing"),F=t("@plotly/d3-sankey").sankey,j=t("d3-force"),N=t("../../lib");e.exports=function(t,e,r,s){var l=t.selectAll(".sankey").data(e.filter(function(t){return a(t).trace.visible}).map(h.bind(null,r)),n);l.exit().remove(),l.enter().append("g").classed("sankey",!0).style("box-sizing","content-box").style("position","absolute").style("left",0).style("shape-rendering","geometricPrecision").style("pointer-events","auto").style("box-sizing","content-box").attr("transform",x),l.transition().ease(z.ease).duration(z.duration).attr("transform",x);var u=l.selectAll(".sankeyLinks").data(i,n);u.enter().append("g").classed("sankeyLinks",!0).style("fill","none");var c=u.selectAll(".sankeyLink").data(function(t){var e={};return t.sankey.links().filter(function(t){return t.value}).map(f.bind(null,e,t))},n);c.enter().append("path").classed("sankeyLink",!0).attr("d",m).call(S,l,s.linkEvents),c.style("stroke",function(t){return b(t)?O.tinyRGB(P(t.linkLineColor)):t.tinyColorHue}).style("stroke-opacity",function(t){return b(t)?O.opacity(t.linkLineColor):t.tinyColorAlpha}).style("stroke-width",function(t){return b(t)?t.linkLineWidth:1}).style("fill",function(t){return t.tinyColorHue}).style("fill-opacity",function(t){return t.tinyColorAlpha}),c.transition().ease(z.ease).duration(z.duration).attr("d",m),c.exit().transition().ease(z.ease).duration(z.duration).style("opacity",0).remove();var v=l.selectAll(".sankeyNodeSet").data(i,n);v.enter().append("g").classed("sankeyNodeSet",!0),v.style("cursor",function(t){switch(t.arrangement){case"fixed":return"default";case"perpendicular":return"ns-resize";default:return"move"}});var g=v.selectAll(".sankeyNode").data(function(t){var e=t.sankey.nodes(),r={};return o(e),e.filter(function(t){return t.value}).map(d.bind(null,r,t))},n);g.enter().append("g").classed("sankeyNode",!0).call(p).call(S,l,s.nodeEvents),g.call(E,c,s),g.transition().ease(z.ease).duration(z.duration).call(p),g.exit().transition().ease(z.ease).duration(z.duration).style("opacity",0).remove();var L=g.selectAll(".nodeRect").data(i);L.enter().append("rect").classed("nodeRect",!0).call(y),L.style("stroke-width",function(t){return t.nodeLineWidth}).style("stroke",function(t){return O.tinyRGB(P(t.nodeLineColor))}).style("stroke-opacity",function(t){return O.opacity(t.nodeLineColor)}).style("fill",function(t){return t.tinyColorHue}).style("fill-opacity",function(t){return t.tinyColorAlpha}),L.transition().ease(z.ease).duration(z.duration).call(y);var C=g.selectAll(".nodeCapture").data(i);C.enter().append("rect").classed("nodeCapture",!0).style("fill-opacity",0),C.attr("x",function(t){return t.zoneX}).attr("y",function(t){return t.zoneY}).attr("width",function(t){return t.zoneWidth}).attr("height",function(t){return t.zoneHeight});var I=g.selectAll(".nodeCentered").data(i);I.enter().append("g").classed("nodeCentered",!0).attr("transform",_),I.transition().ease(z.ease).duration(z.duration).attr("transform",_);var D=I.selectAll(".nodeLabelGuide").data(i);D.enter().append("path").classed("nodeLabelGuide",!0).attr("id",function(t){return t.uniqueNodeLabelPathId}).attr("d",w).attr("transform",M),D.transition().ease(z.ease).duration(z.duration).attr("d",w).attr("transform",M);var F=I.selectAll(".nodeLabel").data(i);F.enter().append("text").classed("nodeLabel",!0).attr("transform",k).style("user-select","none").style("cursor","default").style("fill","black"),F.style("text-shadow",function(t){return t.horizontal?"-1px 1px 1px #fff, 1px 1px 1px #fff, 1px -1px 1px #fff, -1px -1px 1px #fff":"none"}).each(function(t){R.font(F,t.textFont)}),F.transition().ease(z.ease).duration(z.duration).attr("transform",k);var j=F.selectAll(".nodeLabelTextPath").data(i);j.enter().append("textPath").classed("nodeLabelTextPath",!0).attr("alignment-baseline","middle").attr("xlink:href",function(t){return"#"+t.uniqueNodeLabelPathId}).attr("startOffset",T).style("fill",A),j.text(function(t){return t.horizontal||t.node.dy>5?t.node.label:""}).attr("text-anchor",function(t){return t.horizontal&&t.left?"end":"start"}),j.transition().ease(z.ease).duration(z.duration).attr("startOffset",T).style("fill",A)}},{"../../components/color":604,"../../components/drawing":628,"../../lib":728,"./constants":1025,"@plotly/d3-sankey":38,d3:122,"d3-force":118,tinycolor2:534}],1030:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){for(var r=0;r<t.length;r++)t[r].i=r;n.mergeArray(e.text,t,"tx"),n.mergeArray(e.hovertext,t,"htx"),n.mergeArray(e.customdata,t,"data"),n.mergeArray(e.textposition,t,"tp"),e.textfont&&(n.mergeArray(e.textfont.size,t,"ts"),n.mergeArray(e.textfont.color,t,"tc"),n.mergeArray(e.textfont.family,t,"tf"));var i=e.marker;if(i){n.mergeArray(i.size,t,"ms"),n.mergeArray(i.opacity,t,"mo"),n.mergeArray(i.symbol,t,"mx"),n.mergeArray(i.color,t,"mc");var a=i.line;i.line&&(n.mergeArray(a.color,t,"mlc"),n.mergeArray(a.width,t,"mlw"));var 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n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),u=t("../scatter/text_defaults"),c=t("../scatter/fillcolor_defaults"),h=t("./attributes");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}d("carpet"),e.xaxis="x",e.yaxis="y";var p,m=d("a"),v=d("b");if(!(p=Math.min(m.length,v.length)))return void(e.visible=!1);m&&p<m.length&&(e.a=m.slice(0,p)),v&&p<v.length&&(e.b=v.slice(0,p)),d("text"),d("mode",p<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(s(t,e,r,f,d),l(t,e,d),d("connectgaps")),a.hasMarkers(e)&&o(t,e,r,f,d,{gradient:!0}),a.hasText(e)&&u(t,e,f,d);var g=[];(a.hasMarkers(e)||a.hasText(e))&&(d("marker.maxdisplayed"),g.push("points")),d("fill"),"none"!==e.fill&&(c(t,e,r,d),a.hasLines(e)||l(t,e,d)),"tonext"!==e.fill&&"toself"!==e.fill||g.push("fills"),d("hoveron",g.join("+")||"points")}},{"../../lib":728,"../scatter/constants":1036,"../scatter/fillcolor_defaults":1039,"../scatter/line_defaults":1043,"../scatter/line_shape_defaults":1045,"../scatter/marker_defaults":1048,"../scatter/subtypes":1052,"../scatter/text_defaults":1053,"./attributes":1061}],1064:[function(t,e,r){"use strict";var n=t("../scatter/hover");e.exports=function(t,e,r,i){function a(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,""):t._hovertitle,g.push(r+": "+e.toFixed(3)+t.labelsuffix)}var o=n(t,e,r,i);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,u=t.xa._length,c=u*l/2,h=u-c;return s.x0=Math.max(Math.min(s.x0,h),c),s.x1=Math.max(Math.min(s.x1,h),c),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var d=s.trace,p=d._carpet,m=f.hi||d.hoverinfo,v=m.split("+"),g=[];-1!==v.indexOf("all")&&(v=["a","b"]),-1!==v.indexOf("a")&&a(p.aaxis,f.a),-1!==v.indexOf("b")&&a(p.baxis,f.b);var y=p.ab2ij([f.a,f.b]),b=Math.floor(y[0]),x=y[0]-b,_=Math.floor(y[1]),w=y[1]-_,M=p.evalxy([],b,_,x,w);return g.push("y: "+M[1].toFixed(3)),s.extraText=g.join("<br>"),o}}},{"../scatter/hover":1041}],1065:[function(t,e,r){"use strict";var n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.calc=t("./calc"),n.plot=t("./plot"),n.style=t("./style"),n.hoverPoints=t("./hover"),n.selectPoints=t("./select"),n.moduleType="trace",n.name="scattercarpet",n.basePlotModule=t("../../plots/cartesian"),n.categories=["carpet","symbols","markerColorscale","showLegend","carpetDependent"],n.meta={},e.exports=n},{"../../plots/cartesian":782,"../scatter/colorbar":1034,"./attributes":1061,"./calc":1062,"./defaults":1063,"./hover":1064,"./plot":1066,"./select":1067,"./style":1068}],1066:[function(t,e,r){"use strict";var n=t("../scatter/plot"),i=t("../../plots/cartesian/axes"),a=t("../../components/drawing");e.exports=function(t,e,r){var o,s,l,u=r[0][0].carpet,c={xaxis:i.getFromId(t,u.xaxis||"x"),yaxis:i.getFromId(t,u.yaxis||"y"),plot:e.plot};for(n(t,c,r),o=0;o<r.length;o++)s=r[o][0].trace,l=c.plot.selectAll("g.trace"+s.uid+" .js-line"),a.setClipUrl(l,u._clipPathId)}},{"../../components/drawing":628,"../../plots/cartesian/axes":772,"../scatter/plot":1049}],1067:[function(t,e,r){"use strict";var n=t("../scatter/select");e.exports=function(t,e){var r=n(t,e);if(r){var i,a,o,s=t.cd;for(o=0;o<r.length;o++)i=r[o],a=s[i.pointNumber],i.a=a.a,i.b=a.b,i.c=a.c,delete i.x,delete i.y;return r}}},{"../scatter/select":1050}],1068:[function(t,e,r){"use strict";var n=t("../scatter/style");e.exports=function(t){for(var e=t._fullLayout._modules,r=0;r<e.length;r++)if("scatter"===e[r].name)return;n(t)}},{"../scatter/style":1051}],1069:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../components/colorscale/color_attributes"),o=t("../../components/drawing/attributes").dash,s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll,u=n.marker,c=n.line,h=u.line;e.exports=l({lon:{valType:"data_array"},lat:{valType:"data_array"},locations:{valType:"data_array"},locationmode:{valType:"enumerated",values:["ISO-3","USA-states","country names"],dflt:"ISO-3"},mode:s({},n.mode,{dflt:"markers"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),textfont:n.textfont,textposition:n.textposition,line:{color:c.color,width:c.width,dash:o},connectgaps:n.connectgaps,marker:s({symbol:u.symbol,opacity:u.opacity,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,showscale:u.showscale,colorbar:u.colorbar,line:s({width:h.width},a("marker.line")),gradient:u.gradient},a("marker")),fill:{valType:"enumerated",values:["none","toself"],dflt:"none"},fillcolor:n.fillcolor,hoverinfo:s({},i.hoverinfo,{flags:["lon","lat","location","text","name"]})},"calc","nested")},{"../../components/colorscale/color_attributes":611,"../../components/drawing/attributes":627,"../../lib/extend":717,"../../plot_api/edit_types":756,"../../plots/attributes":770,"../scatter/attributes":1031}],1070:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("../../constants/numerical").BADNUM,a=t("../scatter/colorscale_calc"),o=t("../scatter/arrays_to_calcdata");e.exports=function(t,e){for(var r=Array.isArray(e.locations),s=r?e.locations.length:e.lon.length,l=new Array(s),u=0;u<s;u++){var c=l[u]={};if(r){var h=e.locations[u];c.loc="string"==typeof h?h:null}else{var f=e.lon[u],d=e.lat[u];n(f)&&n(d)?c.lonlat=[+f,+d]:c.lonlat=[i,i]}}return o(l,e),a(e),l}},{"../../constants/numerical":707,"../scatter/arrays_to_calcdata":1030,"../scatter/colorscale_calc":1035,"fast-isnumeric":131}],1071:[function(t,e,r){"use strict";function n(t,e,r){var n,i,a=0,o=r("locations");return o?(r("locationmode"),a=o.length):(n=r("lon")||[],i=r("lat")||[],a=Math.min(n.length,i.length),a<n.length&&(e.lon=n.slice(0,a)),a<i.length&&(e.lat=i.slice(0,a)),a)}var i=t("../../lib"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),c=t("./attributes");e.exports=function(t,e,r,h){function f(r,n){return i.coerce(t,e,c,r,n)}if(!n(t,e,f))return void(e.visible=!1);f("text"),f("hovertext"),f("mode"),a.hasLines(e)&&(s(t,e,r,h,f),f("connectgaps")),a.hasMarkers(e)&&o(t,e,r,h,f,{gradient:!0}),a.hasText(e)&&l(t,e,h,f),f("fill"),"none"!==e.fill&&u(t,e,r,f)}},{"../../lib":728,"../scatter/fillcolor_defaults":1039,"../scatter/line_defaults":1043,"../scatter/marker_defaults":1048,"../scatter/subtypes":1052,"../scatter/text_defaults":1053,"./attributes":1069}],1072:[function(t,e,r){"use strict";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null,t}},{}],1073:[function(t,e,r){"use strict";function n(t,e,r){function n(t){return a.tickText(r,r.c2l(t),"hover").text+"\xb0"}var 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t.x0=g[0]-y,t.x1=g[0]+y,t.y0=g[1]-y,t.y1=g[1]+y,t.loc=m.loc,t.lon=v[0],t.lat=v[1],t.color=s(u,m),t.extraText=n(u,m,f.mockAxis),[t]}}},{"../../components/fx":645,"../../constants/numerical":707,"../../plots/cartesian/axes":772,"../scatter/fill_hover_text":1038,"../scatter/get_trace_color":1040,"./attributes":1069}],1074:[function(t,e,r){"use strict";var n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.calc=t("./calc"),n.plot=t("./plot"),n.hoverPoints=t("./hover"),n.eventData=t("./event_data"),n.selectPoints=t("./select"),n.moduleType="trace",n.name="scattergeo",n.basePlotModule=t("../../plots/geo"),n.categories=["geo","symbols","markerColorscale","showLegend","scatter-like"],n.meta={},e.exports=n},{"../../plots/geo":800,"../scatter/colorbar":1034,"./attributes":1069,"./calc":1070,"./defaults":1071,"./event_data":1072,"./hover":1073,"./plot":1075,"./select":1076}],1075:[function(t,e,r){"use strict";function n(t,e){var r=t[0].trace;if(Array.isArray(r.locations))for(var n=c(r,e),i=r.locationmode,a=0;a<t.length;a++){var o=t[a],s=h(i,o.loc,n);o.lonlat=s?s.properties.ct:[u,u]}}function i(t){var e=t.layers.frontplot.selectAll(".trace.scattergeo");e.style("opacity",function(t){return t[0].trace.opacity}),e.each(function(e){var r=e[0].trace,n=a.select(this);n.selectAll("path.point").call(o.pointStyle,r,t.graphDiv),n.selectAll("text").call(o.textPointStyle,r,t.graphDiv)}),e.selectAll("path.js-line").style("fill","none").each(function(t){var e=a.select(this),r=t.trace,n=r.line||{};e.call(s.stroke,n.color).call(o.dashLine,n.dash||"",n.width||0),"none"!==r.fill&&e.call(s.fill,r.fillcolor)})}var a=t("d3"),o=t("../../components/drawing"),s=t("../../components/color"),l=t("../../lib"),u=t("../../constants/numerical").BADNUM,c=t("../../lib/topojson_utils").getTopojsonFeatures,h=t("../../lib/geo_location_utils").locationToFeature,f=t("../../lib/geojson_utils"),d=t("../scatter/subtypes") 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n=t("../scatter/attributes"),i=t("../../components/colorscale/color_attributes"),a=t("../../constants/gl2d_dashes"),o=t("../../constants/gl2d_markers"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll,u=n.line,c=n.marker,h=c.line,f=e.exports=l({x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,text:s({},n.text,{}),mode:{valType:"flaglist",flags:["lines","markers"],extras:["none"]},line:{color:u.color,width:u.width,dash:{valType:"enumerated",values:Object.keys(a),dflt:"solid"}},marker:s({},i("marker"),{symbol:{valType:"enumerated",values:Object.keys(o),dflt:"circle",arrayOk:!0},size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,opacity:c.opacity,showscale:c.showscale,colorbar:c.colorbar,line:s({},i("marker.line"),{width:h.width})}),connectgaps:n.connectgaps,fill:s({},n.fill,{values:["none","tozeroy","tozerox"]}),fillcolor:n.fillcolor,error_y:n.error_y,error_x:n.error_x},"calc","nested");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType="calc+clearAxisTypes"},{"../../components/colorscale/color_attributes":611,"../../constants/gl2d_dashes":702,"../../constants/gl2d_markers":703,"../../lib/extend":717,"../../plot_api/edit_types":756,"../scatter/attributes":1031}],1078:[function(t,e,r){"use 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Array.isArray(e)||(e=[e]),a(t,e,r)}function a(t,e,r){for(var n=new Array(r),i=e[0],a=0;a<r;++a)n[a]=t(a>=e.length?i:e[a]);return n}function o(t,e,r){return l(O(t,r),P(e,r),r)}function s(t,e,r,n){var i=k(t,e,n);return i=Array.isArray(i[0])?i:a(y.identity,[i],n),l(i,P(r,n),n)}function l(t,e,r){for(var n=new Array(4*r),i=0;i<r;++i){for(var a=0;a<3;++a)n[4*i+a]=t[i][a];n[4*i+3]=t[i][3]*e[i]}return n}function u(t){return""===t.split("-open")[1]}function c(t,e,r,n,i){var a,o=i?C:1;for(a=0;a<3;a++)t[4*r+a]=e[4*n+a];t[4*r+a]=o*e[4*n+a]}function h(t){for(var e,r=t.length,n=Math.max(1,(r-1)/Math.min(Math.max(r,1),1e3)),i=0;i<r;i+=n)if(e=t[Math.floor(i)],!(g(e)||e instanceof Date))return!1;return!0}function f(t,e,r){var i=new n(t,e.uid);return i.update(e,r),i}var d=t("gl-scatter2d"),p=t("gl-scatter2d-sdf"),m=t("gl-line2d"),v=t("gl-error2d"),g=t("fast-isnumeric"),y=t("../../lib"),b=t("../../plots/cartesian/axes"),x=t("../../plots/cartesian/axis_autotype"),_=t("../../components/errorbars"),w=t("../../lib/str2rgbarray"),M=t("../../lib/typed_array_truncate"),k=t("../../lib/gl_format_color"),A=t("../scatter/subtypes"),T=t("../scatter/make_bubble_size_func"),S=t("../scatter/get_trace_color"),E=t("../../constants/gl2d_markers"),L=t("../../constants/gl2d_dashes"),C=t("../../constants/interactions").DESELECTDIM,I=["xaxis","yaxis"],z=[0,0,0,0],D=n.prototype;D.initObject=function(t,e,r){function n(){u||(u=t(s,e),u._trace=o,u._index=r),u.update(e)}function i(){u&&u.update(l)}function a(){u&&u.dispose()}var o=this,s=o.scene.glplot,l=y.extendFlat({},e),u=null;return{options:e,update:n,clear:i,dispose:a}},D.handlePick=function(t){var e=t.pointId;(t.object!==this.line||this.connectgaps)&&(e=this.idToIndex[t.pointId]);var r=this.pickXData[e];return{trace:this,dataCoord:t.dataCoord,traceCoord:[g(r)||!y.isDateTime(r)?r:y.dateTime2ms(r),this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:Array.isArray(this.color)?this.color[e]:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},D.isFancy=function(t){if("linear"!==this.scene.xaxis.type&&"date"!==this.scene.xaxis.type)return!0;if("linear"!==this.scene.yaxis.type)return!0;if(!t.x||!t.y)return!0;if(this.hasMarkers){var e=t.marker||{};if(Array.isArray(e.symbol)||"circle"!==e.symbol||Array.isArray(e.size)||Array.isArray(e.color)||Array.isArray(e.line.width)||Array.isArray(e.line.color)||Array.isArray(e.opacity))return!0}return!(!this.hasLines||this.connectgaps)||(!!this.hasErrorX||!!this.hasErrorY)};var P=i.bind(null,function(t){return+t}),O=i.bind(null,w),R=i.bind(null,function(t){return 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Float64Array(2*l),f=this.bounds,d=0,p=0,m=t.selection,v=t.xcalendar,b=h(o),_=!b&&"date"===x(o,v);if(b||_)for(e=0;e<l;++e)i=o[e],a=s[e],g(a)&&(b||(i=y.dateTime2ms(i,v)),c[p++]=i,c[p++]=a,u[d++]=e,f[0]=Math.min(f[0],i),f[1]=Math.min(f[1],a),f[2]=Math.max(f[2],i),f[3]=Math.max(f[3],a));if(c=M(c,p),this.idToIndex=u,m&&m.length)for(r=new Float64Array(2*m.length),e=0,n=m.length;e<n;e++)r[2*e+0]=m[e].x,r[2*e+1]=m[e].y;this.updateLines(t,c),this.updateError("X",t),this.updateError("Y",t);var k;if(this.hasMarkers){var A,T,S;r?(this.scatter.options.positions=null,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity*C,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update(),this.scatter.options.positions=c,this.selectScatter.options.positions=r,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.selectScatter.options.color=A,T[3]*=S,this.selectScatter.options.borderColor=T,k=t.marker.size,this.selectScatter.options.size=k,this.selectScatter.options.borderSize=t.marker.line.width,this.selectScatter.update()):(this.scatter.options.positions=c,A=w(t.marker.color),T=w(t.marker.line.color),S=t.opacity*t.marker.opacity,A[3]*=S,this.scatter.options.color=A,T[3]*=S,this.scatter.options.borderColor=T,k=t.marker.size,this.scatter.options.size=k,this.scatter.options.borderSize=t.marker.line.width,this.scatter.update())}else this.scatter.clear();this.fancyScatter.clear(),this.expandAxesFast(f,k)},D.updateFancy=function(t){var e=this.scene,r=e.xaxis,n=e.yaxis,a=this.bounds,o=t.selection,l=this.pickXData=r.makeCalcdata(t,"x").slice(),h=this.pickYData=n.makeCalcdata(t,"y").slice();this.xData=l.slice(),this.yData=h.slice();var f,d,p,m,v,g,y,b=_.calcFromTrace(t,e.fullLayout),x=l.length,w=new Array(x),k=new Float64Array(2*x),A=new Float64Array(4*x),S=new Float64Array(4*x),L=0,C=0,I=0,D=0,O="log"===r.type?r.d2l:function(t){return t},F="log"===n.type?n.d2l:function(t){return t};for(f=0;f<x;++f)this.xData[f]=d=O(l[f]),this.yData[f]=p=F(h[f]),isNaN(d)||isNaN(p)||(w[L++]=f,k[C++]=d,k[C++]=p,m=A[I++]=d-b[f].xs||0,v=A[I++]=b[f].xh-d||0,A[I++]=0,A[I++]=0,S[D++]=0,S[D++]=0,g=S[D++]=p-b[f].ys||0,y=S[D++]=b[f].yh-p||0,a[0]=Math.min(a[0],d-m),a[1]=Math.min(a[1],p-g),a[2]=Math.max(a[2],d+v),a[3]=Math.max(a[3],p+y));k=M(k,C),this.idToIndex=w,this.updateLines(t,k),this.updateError("X",t,k,A),this.updateError("Y",t,k,S);var j,N;if(o&&o.length)for(N={},f=0;f<o.length;f++)N[o[f].pointNumber]=!0;if(this.hasMarkers){this.scatter.options.positions=k,this.scatter.options.sizes=new Array(L),this.scatter.options.glyphs=new Array(L),this.scatter.options.borderWidths=new Array(L),this.scatter.options.colors=new Array(4*L),this.scatter.options.borderColors=new Array(4*L);var B,U,V,H,q,G,Y,W,X,Z,J=T(t),K=t.marker,Q=K.opacity,$=t.opacity,tt=R(K.symbol,x),et=s(K,Q,$,x),rt=P(K.line.width,x),nt=s(K.line,Q,$,x);for(j=i(J,K.size,x),f=0;f<L;++f)B=w[f],V=tt[B],H=E[V],q=u(V),G=N&&!N[B],Y=H.noBorder&&!q?nt:et,W=q?et:nt,U=j[B],X=rt[B],Z=H.noBorder||H.noFill?.1*U:0,this.scatter.options.sizes[f]=4*U,this.scatter.options.glyphs[f]=H.unicode,this.scatter.options.borderWidths[f]=.5*(X>Z?X-Z:0),!q||H.noBorder||H.noFill?c(this.scatter.options.colors,Y,f,B,G):c(this.scatter.options.colors,z,f,0),c(this.scatter.options.borderColors,W,f,B,G);N?(this.scatter.options.positions=null,this.fancyScatter.update(),this.scatter.options.positions=k):this.fancyScatter.update()}else this.fancyScatter.clear();this.scatter.clear(),this.expandAxesFancy(l,h,j)},D.updateLines=function(t,e){var r;if(this.hasLines){var n=e;if(!t.connectgaps){var i=0,a=this.xData,s=this.yData;for(n=new Float64Array(2*a.length),r=0;r<a.length;++r)n[i++]=a[r],n[i++]=s[r]}this.line.options.positions=n;var l=o(t.line.color,t.opacity,1),u=Math.round(.5*this.line.options.width),c=(L[t.line.dash]||[1]).slice();for(r=0;r<c.length;++r)c[r]*=u;switch(t.fill){case"tozeroy":this.line.options.fill=[!1,!0,!1,!1];break;case"tozerox":this.line.options.fill=[!0,!1,!1,!1];break;default:this.line.options.fill=[!1,!1,!1,!1]}var h=w(t.fillcolor);this.line.options.color=l,this.line.options.width=2*t.line.width,this.line.options.dashes=c,this.line.options.fillColor=[h,h,h,h],this.line.update()}else this.line.clear()},D.updateError=function(t,e,r,n){var i=this["error"+t],a=e["error_"+t.toLowerCase()];"x"===t.toLowerCase()&&a.copy_ystyle&&(a=e.error_y),this["hasError"+t]?(i.options.positions=r,i.options.errors=n,i.options.capSize=a.width,i.options.lineWidth=a.thickness/2,i.options.color=o(a.color,1,1),i.update()):i.clear()},D.expandAxesFast=function(t,e){for(var r,n,i,a=e||10,o=0;o<2;o++)r=this.scene[I[o]],n=r._min,n||(n=[]),n.push({val:t[o],pad:a}),i=r._max,i||(i=[]),i.push({val:t[o+2],pad:a})},D.expandAxesFancy=function(t,e,r){var n=this.scene,i={padded:!0,ppad:r};b.expand(n.xaxis,t,i),b.expand(n.yaxis,e,i)},D.dispose=function(){this.line.dispose(),this.errorX.dispose(),this.errorY.dispose(),this.scatter.dispose(),this.fancyScatter.dispose()},e.exports=f},{"../../components/errorbars":634,"../../constants/gl2d_dashes":702,"../../constants/gl2d_markers":703,"../../constants/interactions":706,"../../lib":728,"../../lib/gl_format_color":724,"../../lib/str2rgbarray":749,"../../lib/typed_array_truncate":754,"../../plots/cartesian/axes":772,"../../plots/cartesian/axis_autotype":773,"../scatter/get_trace_color":1040,"../scatter/make_bubble_size_func":1047,"../scatter/subtypes":1052,"fast-isnumeric":131,"gl-error2d":159,"gl-line2d":170,"gl-scatter2d":248,"gl-scatter2d-sdf":243}],1080:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/xy_defaults"),s=t("../scatter/marker_defaults"),l=t("../scatter/line_defaults"),u=t("../scatter/fillcolor_defaults"),c=t("../../components/errorbars/defaults"),h=t("./attributes");e.exports=function(t,e,r,f){function d(r,i){return n.coerce(t,e,h,r,i)}var p=o(t,e,f,d);if(!p)return void(e.visible=!1);d("text"),d("mode",p<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(d("connectgaps"),l(t,e,r,f,d)),a.hasMarkers(e)&&s(t,e,r,f,d),d("fill"),"none"!==e.fill&&u(t,e,r,d),c(t,e,r,{axis:"y"}),c(t,e,r,{axis:"x",inherit:"y"})}},{"../../components/errorbars/defaults":633,"../../lib":728,"../scatter/constants":1036,"../scatter/fillcolor_defaults":1039,"../scatter/line_defaults":1043,"../scatter/marker_defaults":1048,"../scatter/subtypes":1052,"../scatter/xy_defaults":1054,"./attributes":1077}],1081:[function(t,e,r){"use strict";var n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("../scatter/colorbar"),n.hoverPoints=t("../scatter/hover"),n.calc=t("./calc"),n.plot=t("./convert"),n.selectPoints=t("./select"),n.moduleType="trace",n.name="scattergl",n.basePlotModule=t("../../plots/gl2d"),n.categories=["gl2d","symbols","errorBarsOK","markerColorscale","showLegend","scatter-like"],n.meta={},e.exports=n},{"../../plots/gl2d":808,"../scatter/colorbar":1034,"../scatter/hover":1041,"./attributes":1077,"./calc":1078,"./convert":1079,"./defaults":1080,"./select":1082}],1082:[function(t,e,r){"use strict";var n=t("../scatter/subtypes");e.exports=function(t,e){var r,i,a,o,s=t.cd,l=t.xaxis,u=t.yaxis,c=[],h=s[0].trace,f=s[0]._glTrace,d=f.scene,p=!n.hasMarkers(h)&&!n.hasText(h);if(!0===h.visible&&!p){if(!1===e)for(r=0;r<s.length;r++)s[r].dim=0;else for(r=0;r<s.length;r++)i=s[r],a=l.c2p(i.x),o=u.c2p(i.y),e.contains([a,o])?(c.push({pointNumber:r,x:i.x,y:i.y}),i.dim=0):i.dim=1;return 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n={};n.attributes=t("./attributes"),n.supplyDefaults=t("./defaults"),n.colorbar=t("./colorbar"),n.calc=t("./calc"),n.plot=t("./convert"),n.moduleType="trace",n.name="surface",n.basePlotModule=t("../../plots/gl3d"),n.categories=["gl3d","2dMap","noOpacity"],n.meta={},e.exports=n},{"../../plots/gl3d":811,"./attributes":1099,"./calc":1100,"./colorbar":1101,"./convert":1102,"./defaults":1103}],1105:[function(t,e,r){"use strict";var n=t("../../components/annotations/attributes"),i=t("../../lib/extend").extendFlat,a=t("../../plot_api/edit_types").overrideAll;e.exports=a({domain:{x:{valType:"info_array",items:[{valType:"number",min:0,max:1},{valType:"number",min:0,max:1}],dflt:[0,1]},y:{valType:"info_array",items:[{valType:"number",min:0,max:1},{valType:"number",min:0,max:1}],dflt:[0,1]}},columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[]},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0},color:{valType:"color",arrayOk:!0}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:{family:{valType:"string",arrayOk:!0,noBlank:!0,strict:!0},size:{valType:"number",arrayOk:!0},color:{valType:"color",arrayOk:!0}}},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[]},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:20},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0},color:{valType:"color",arrayOk:!0}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:{family:{valType:"string",arrayOk:!0,noBlank:!0,strict:!0},size:{valType:"number",arrayOk:!0},color:{valType:"color",arrayOk:!0}}}},"calc","from-root")},{"../../components/annotations/attributes":587,"../../lib/extend":717,"../../plot_api/edit_types":756}],1106:[function(t,e,r){"use 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t.calcdata.columns.reduce(function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e},0)}function i(t,e){return Object.keys(t).map(function(r){return l({},t[r],{auxiliaryBlocks:e})})}function a(t,e){for(var r,n={},i=0,a=0,s=o(),l=0,u=0,c=0;c<t.length;c++)r=t[c],s.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=s,s.key=u++,s.firstRowIndex=l,s.lastRowIndex=c,s=o(),i+=a,l=c+1,a=0);return n}function o(){return{firstRowIndex:null,lastRowIndex:null,rows:[]}}var s=t("./constants"),l=t("../../lib/extend").extendFlat;e.exports=function(t,e){var r=e.domain,o=Math.floor(t._fullLayout._size.w*(r.x[1]-r.x[0])),l=Math.floor(t._fullLayout._size.h*(r.y[1]-r.y[0])),u=e.header.values[0].map(function(){return e.header.height}),c=e.cells.values[0].map(function(){return e.cells.height}),h=u.reduce(function(t,e){return t+e},0),f=l-h,d=f+s.uplift,p=a(c,d),m=a(u,h),v=i(m,[]),g=i(p,v),y={},b=e._fullInput.columnorder,x=e.header.values.map(function(t,r){return Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:isFinite(e.columnwidth)&&null!==e.columnwidth?e.columnwidth:1}),_=x.reduce(function(t,e){return t+e},0);x=x.map(function(t){return t/_*o});var w={key:e.index,translateX:r.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-r.y[1]),size:t._fullLayout._size,width:o,height:l,columnOrder:b,groupHeight:l,rowBlocks:g,headerRowBlocks:v,scrollY:0,cells:e.cells,headerCells:e.header,gdColumns:e.header.values.map(function(t){return t[0]}),gdColumnsOriginalOrder:e.header.values.map(function(t){return t[0]}),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:e.header.values.map(function(t,e){var r=y[t];return y[t]=(r||0)+1,{key:t+"__"+y[t],label:t,specIndex:e,xIndex:b[e],xScale:n,x:void 0,calcdata:void 0,columnWidth:x[e]}})};return w.columns.forEach(function(t){t.calcdata=w,t.x=n(t)}),w}},{"../../lib/extend":717,"./constants":1108}],1110:[function(t,e,r){"use strict";function n(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}var i=t("../../lib/extend").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=i({},t,{key:"header",type:"header",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:i({},t.calcdata,{cells:t.calcdata.headerCells})});return[i({},t,{key:"cells1",type:"cells",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),i({},t,{key:"cells2",type:"cells",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=n(t);return t.values.slice(e[0],e[1]).map(function(r,n){return{keyWithinBlock:n+("string"==typeof r&&r.match(/[<$&> 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,v=0|o[2],m=8191&v,y=v>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],k=8191&w,T=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,z=P>>>13,I=0|o[8],D=8191&I,R=I>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],V=8191&j,U=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var vt=(c+(n=Math.imul(h,V))|0)+((8191&(a=(a=Math.imul(h,U))+Math.imul(f,V)|0))<<13)|0;c=((i=Math.imul(f,U))+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(d,V),a=(a=Math.imul(d,U))+Math.imul(g,V)|0,i=Math.imul(g,U);var mt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(m,V),a=(a=Math.imul(m,U))+Math.imul(y,V)|0,i=Math.imul(y,U),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,X)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,X)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,V),a=(a=Math.imul(b,U))+Math.imul(_,V)|0,i=Math.imul(_,U),n=n+Math.imul(m,H)|0,a=(a=a+Math.imul(m,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,X)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(k,V),a=(a=Math.imul(k,U))+Math.imul(T,V)|0,i=Math.imul(T,U),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(m,W)|0,a=(a=a+Math.imul(m,X)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,V),a=(a=Math.imul(A,U))+Math.imul(S,V)|0,i=Math.imul(S,U),n=n+Math.imul(k,H)|0,a=(a=a+Math.imul(k,G)|0)+Math.imul(T,H)|0,i=i+Math.imul(T,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,X)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,X)|0,n=n+Math.imul(m,J)|0,a=(a=a+Math.imul(m,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,V),a=(a=Math.imul(L,U))+Math.imul(C,V)|0,i=Math.imul(C,U),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(k,W)|0,a=(a=a+Math.imul(k,X)|0)+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(m,$)|0,a=(a=a+Math.imul(m,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,V),a=(a=Math.imul(O,U))+Math.imul(z,V)|0,i=Math.imul(z,U),n=n+Math.imul(L,H)|0,a=(a=a+Math.imul(L,G)|0)+Math.imul(C,H)|0,i=i+Math.imul(C,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,X)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,X)|0,n=n+Math.imul(k,J)|0,a=(a=a+Math.imul(k,K)|0)+Math.imul(T,J)|0,i=i+Math.imul(T,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,a=(a=a+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var kt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(D,V),a=(a=Math.imul(D,U))+Math.imul(R,V)|0,i=Math.imul(R,U),n=n+Math.imul(O,H)|0,a=(a=a+Math.imul(O,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(L,W)|0,a=(a=a+Math.imul(L,X)|0)+Math.imul(C,W)|0,i=i+Math.imul(C,X)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(k,$)|0,a=(a=a+Math.imul(k,tt)|0)+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(m,it)|0,a=(a=a+Math.imul(m,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var Tt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(B,V),a=(a=Math.imul(B,U))+Math.imul(N,V)|0,i=Math.imul(N,U),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(O,W)|0,a=(a=a+Math.imul(O,X)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,n=n+Math.imul(L,J)|0,a=(a=a+Math.imul(L,K)|0)+Math.imul(C,J)|0,i=i+Math.imul(C,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(k,rt)|0,a=(a=a+Math.imul(k,nt)|0)+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,a=(a=a+Math.imul(m,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,X)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,X)|0,n=n+Math.imul(O,J)|0,a=(a=a+Math.imul(O,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(L,$)|0,a=(a=a+Math.imul(L,tt)|0)+Math.imul(C,$)|0,i=i+Math.imul(C,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(k,it)|0,a=(a=a+Math.imul(k,ot)|0)+Math.imul(T,it)|0,i=i+Math.imul(T,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(m,ht)|0,a=(a=a+Math.imul(m,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,X))+Math.imul(N,W)|0,i=Math.imul(N,X),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(O,$)|0,a=(a=a+Math.imul(O,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(L,rt)|0,a=(a=a+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,i=i+Math.imul(C,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(k,lt)|0,a=(a=a+Math.imul(k,ct)|0)+Math.imul(T,lt)|0,i=i+Math.imul(T,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(m,dt)|0)|0)+((8191&(a=(a=a+Math.imul(m,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,a=(a=a+Math.imul(O,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(L,it)|0,a=(a=a+Math.imul(L,ot)|0)+Math.imul(C,it)|0,i=i+Math.imul(C,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(k,ht)|0,a=(a=a+Math.imul(k,ft)|0)+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(O,it)|0,a=(a=a+Math.imul(O,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(L,lt)|0,a=(a=a+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,i=i+Math.imul(C,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Lt=(c+(n=n+Math.imul(k,dt)|0)|0)+((8191&(a=(a=a+Math.imul(k,gt)|0)+Math.imul(T,dt)|0))<<13)|0;c=((i=i+Math.imul(T,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,a=(a=a+Math.imul(O,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(L,ht)|0,a=(a=a+Math.imul(L,ft)|0)+Math.imul(C,ht)|0,i=i+Math.imul(C,ft)|0;var Ct=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(O,ht)|0,a=(a=a+Math.imul(O,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(a=(a=a+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((i=i+Math.imul(C,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var Ot=(c+(n=n+Math.imul(O,dt)|0)|0)+((8191&(a=(a=a+Math.imul(O,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var It=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(It>>>26)|0,It&=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=kt,l[8]=Tt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=zt,l[18]=It,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],v=r[u+p+o],m=n[u+p+o],y=h*v-f*m;m=h*m+f*v,v=y,r[u+p]=d+v,n[u+p]=g+m,r[u+p+o]=d-v,n[u+p+o]=g-m,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n("number"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n("number"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n("number"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.prototype.imaskn=function(t){n("number"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,"imaskn works only with positive numbers"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return n("number"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(n("number"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if("mod"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),"div"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),"mod"!==e&&(a=s.div.neg()),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),"mod"!==e&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),"div"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?"div"===e?{div:this.divn(t.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,"div",!1).div},i.prototype.mod=function(t){return this.divmod(t,"mod",!1).mod},i.prototype.umod=function(t){return this.divmod(t,"mod",!0).mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n("number"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction 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t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new i(1)).iushrn(2);return 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M=s[w];s[w]=s[k],s[k]=M}var A=l[u-1];l[u-1]=l[p],l[p]=A,p=n(t,e,c,u-1,s,l,d);for(var w=f*(u-1),k=f*p,T=0;T<f;++T,++w,++k){var M=s[w];s[w]=s[k],s[k]=M}var A=l[u-1];if(l[u-1]=l[p],l[p]=A,h<p){for(u=p-1;c<u&&s[f*(u-1)+e]===d;)u-=1;u+=1}else{if(!(p<h))break;for(c=p+1;c<u&&s[f*c+e]===d;)c+=1}}return n(t,e,r,h,s,l,s[f*h+e])};var n=t("./partition")("lo<p0",["p0"]),a=8;function i(t,e,r,n,a,i){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=a[s],u=l,h=o*(l-1);u>r&&a[h+e]>c;--u,h-=o){for(var f=h,p=h+o,d=0;d<o;++d,++f,++p){var g=a[f];a[f]=a[p],a[p]=g}var v=i[u];i[u]=i[u-1],i[u-1]=v}}},{"./partition":102}],102:[function(t,e,r){"use strict";e.exports=function(t,e){var r="abcdef".split("").concat(e),a=[];t.indexOf("lo")>=0&&a.push("lo=e[k+n]");t.indexOf("hi")>=0&&a.push("hi=e[k+o]");return r.push(n.replace("_",a.join()).replace("$",t)),Function.apply(void 0,r)};var n="for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var 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r=8*e;p.length<r&&(n.free(p),p=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,a,h,f,v,m,y){for(var x=0,b=2*t,_=t-1,w=b-1,k=r;k<n;++k){var T=h[k],M=b*k;p[x++]=a[M+_],p[x++]=-(T+1),p[x++]=a[M+w],p[x++]=T}for(var k=f;k<v;++k){var T=y[k]+o,A=b*k;p[x++]=m[A+_],p[x++]=-T,p[x++]=m[A+w],p[x++]=T}var S=x>>>1;i(p,S);for(var E=0,L=0,k=0;k<S;++k){var C=0|p[2*k+1];if(C>=o)d(c,u,L--,C=C-o|0);else if(C>=0)d(s,l,E--,C);else if(C<=-o){C=-C-o|0;for(var P=0;P<E;++P){var O=e(s[P],C);if(void 0!==O)return O}g(c,u,L++,C)}else{C=-C-1|0;for(var P=0;P<L;++P){var O=e(C,c[P]);if(void 0!==O)return O}g(s,l,E++,C)}}},sweepComplete:function(t,e,r,n,a,o,v,m,y,x){for(var b=0,_=2*t,w=t-1,k=_-1,T=r;T<n;++T){var M=o[T]+1<<1,A=_*T;p[b++]=a[A+w],p[b++]=-M,p[b++]=a[A+k],p[b++]=M}for(var T=v;T<m;++T){var M=x[T]+1<<1,S=_*T;p[b++]=y[S+w],p[b++]=1|-M,p[b++]=y[S+k],p[b++]=1|M}var E=b>>>1;i(p,E);for(var L=0,C=0,P=0,T=0;T<E;++T){var O=0|p[2*T+1],z=1&O;if(T<E-1&&O>>1==p[2*T+3]>>1&&(z=2,T+=1),O<0){for(var 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r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasNext",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var e=this._stack;if(0===e.length)throw new Error("Can't update empty node!");var r=new Array(e.length),n=e[e.length-1];r[r.length-1]=new i(n._color,n.key,t,n.left,n.right,n._count);for(var a=e.length-2;a>=0;--a)(n=e[a]).left===e[a+1]?r[a]=new i(n._color,n.key,n.value,r[a+1],n.right,n._count):r[a]=new i(n._color,n.key,n.value,n.left,r[a+1],n._count);return new c(this.tree._compare,r[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],234:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],a=607/128,i=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function o(t){if(t<0)return Number("0/0");for(var e=i[0],r=i.length-1;r>0;--r)e+=i[r]/(t+r);var n=t+a+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(o(e));e-=1;for(var r=n[0],a=1;a<9;a++)r+=n[a]/(e+a);var i=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(i,e+.5)*Math.exp(-i)*r},e.exports.log=o},{}],235:[function(t,e,r){e.exports=function(t,e){if("string"!=typeof t)throw new TypeError("must specify type string");if(e=e||{},"undefined"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement("canvas");"number"==typeof e.width&&(r.width=e.width);"number"==typeof e.height&&(r.height=e.height);var n,a=e;try{var i=[t];0===t.indexOf("webgl")&&i.push("experimental-"+t);for(var o=0;o<i.length;o++)if(n=r.getContext(i[o],a))return n}catch(t){n=null}return n||null}},{}],236:[function(t,e,r){"use strict";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t("./lib/text.js"),a=t("./lib/lines.js"),i=t("./lib/background.js"),o=t("./lib/cube.js"),s=t("./lib/ticks.js"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=i(t)}var h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var a,i=t[n],o=this[n];(e?Array.isArray(i)&&Array.isArray(i[0]):Array.isArray(i))?this[n]=a=[r(i[0]),r(i[1]),r(i[2])]:this[n]=a=[r(i),r(i),r(i)];for(var s=0;s<3;++s)if(a[s]!==o[s])return!0}return!1}t=t||{};var r,i=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]}),u=!1,h=!1;if("bounds"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if("ticks"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else i("tickSpacing")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort(function(t,e){return t.x-e.x});s.equal(r,this.ticks)?u=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(u=!0),i("tickSize"),i("tickAngle"),i("tickPad"),c("tickColor");var g=l("labels");l("labelFont")&&(g=!0),o("labelEnable"),i("labelSize"),i("labelPad"),c("labelColor"),o("lineEnable"),o("lineMirror"),i("lineWidth"),c("lineColor"),o("lineTickEnable"),o("lineTickMirror"),i("lineTickLength"),i("lineTickWidth"),c("lineTickColor"),o("gridEnable"),i("gridWidth"),c("gridColor"),o("zeroEnable"),c("zeroLineColor"),i("zeroLineWidth"),o("backgroundEnable"),c("backgroundColor"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],k=n[15],T=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*k)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var L=[0,0,0];f[M]>0?L[M]=i[1][M]:L[M]=i[0][M];for(var C=0;C<2;++C){var P=(M+1+C)%3,O=(M+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,O,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(M+1+C)%3,O=(M+1+(1^C))%3;this.zeroEnable[O]&&Math.min(i[0][O],i[1][O])<=0&&Math.max(i[0][O],i[1][O])>=0&&this._lines.drawZero(P,O,this.bounds,L,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(m,A[M].primalMinor),I=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=T/r[5*C];z[C]*=D[C]*R,I[C]*=D[C]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,I,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0?N(n):i>0&&l<0?N(n):i<0&&l>0?N(n):i<0&&l<0?N(n):o>0&&s>0?N(a):o>0&&s<0?N(a):o<0&&s>0?N(a):o<0&&s<0&&N(a)}for(M=0;M<3;++M){var V=A[M].primalMinor,U=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[M]&&(q[C]+=T*V[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]="auto"):this.tickAlign[M]=-1,F=1,"auto"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]),B=[0,0,0],j(M,V,U);for(C=0;C<3;++C)q[C]+=T*V[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),"auto"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]);for(C=0;C<3;++C)q[C]+=T*V[C]*this.labelPad[C]/r[5*C];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{"./lib/background.js":237,"./lib/cube.js":238,"./lib/lines.js":239,"./lib/text.js":241,"./lib/ticks.js":242}],237:[function(t,e,r){"use strict";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var v=c;c=u,u=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,m,x,b)};var n=t("gl-buffer"),a=t("gl-vao"),i=t("./shaders").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders":240,"gl-buffer":244,"gl-vao":329}],238:[function(t,e,r){"use strict";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}for(var w=-1,x=0;x<8;++x){for(var k=l[x][3],T=0;T<3;++T)c[x][T]=l[x][T]/k;p&&(c[x][2]*=-1),k<0&&(w<0?w=x:c[x][2]<c[w][2]&&(w=x))}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S);o(c[P],c[O],c[z],h)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<M);else{for(var C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S),I=d([l[P],l[O],l[z],l[P+(1<<A)+(1<<S)]]);C?E=I:L=I}L>E&&(w|=1<<M)}}}for(var D=7^w,R=-1,x=0;x<8;++x)x!==w&&x!==D&&(R<0?R=x:c[R][1]>c[x][1]&&(R=x));for(var F=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D){F<0&&(F=B);var S=c[B];S[0]<c[F][0]&&(F=B)}}for(var N=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D&&B!==F){N<0&&(N=B);var S=c[B];S[0]>c[N][0]&&(N=B)}}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^N)]=R&N;var V=7^N;V===w||V===D?(V=7^F,j[n.log2(N^V)]=V&N):j[n.log2(F^V)]=V&F;for(var U=v,q=w,M=0;M<3;++M)U[M]=q&1<<M?-1:1;return m};var n=t("bit-twiddle"),a=t("gl-mat4/multiply"),i=t("split-polygon"),o=t("robust-orientation"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{"bit-twiddle":94,"gl-mat4/multiply":270,"robust-orientation":508,"split-polygon":525}],239:[function(t,e,r){"use strict";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[h]=f,l[h]=v-f;for(var f=o.length/3|0,m=0;m<r[h].length;++m){var g=+r[h][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;c[h]=f,u[h]=v-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t("gl-buffer"),a=t("gl-vao"),i=t("./shaders").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var 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g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{"./shaders":240,"gl-buffer":244,"gl-vao":329}],240:[function(t,e,r){"use strict";var n=t("glslify"),a=t("gl-shader"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\nuniform float lineWidth;\nuniform vec2 screenShape;\n\nvec3 project(vec3 p) {\n vec4 pp = projection * view * model * vec4(p, 1.0);\n return pp.xyz / max(pp.w, 0.0001);\n}\n\nvoid main() {\n vec3 major = position.x * majorAxis;\n vec3 minor = position.y * minorAxis;\n\n vec3 vPosition = major + minor + offset;\n vec3 pPosition = project(vPosition);\n vec3 offset = project(vPosition + screenAxis * position.z);\n\n vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\n\n gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n gl_FragColor = color;\n}"]);r.line=function(t){return a(t,i,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n vec4 pp = projection * view * model * vec4(p, 1.0);\n 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bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n vec3 realNormal = signAxis * normal;\n\n if(dot(realNormal, enable) > 0.0) {\n vec3 minRange = min(bounds[0], bounds[1]);\n vec3 maxRange = max(bounds[0], bounds[1]);\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\n } else {\n gl_Position = vec4(0,0,0,0);\n }\n\n colorChannel = abs(realNormal);\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n gl_FragColor = colorChannel.x * colors[0] +\n colorChannel.y * colors[1] +\n colorChannel.z * colors[2];\n}"]);r.bg=function(t){return a(t,c,u,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},{"gl-shader":304,glslify:410}],241:[function(t,e,r){(function(r){"use strict";e.exports=function(t,e,r,i,s,l){var 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g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t("_process"))},{"./shaders":240,_process:483,"gl-buffer":244,"gl-vao":329,"vectorize-text":548}],242:[function(t,e,r){"use 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f=e.model||c,p=e.view||c,m=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,m,x,y)).axis;o(u,p,f),o(u,m,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var k=n(s(u,u));s(u,u);for(var T=0;T<3;++T){var M=(T+1)%3,A=(T+2)%3,S=v;t:for(var w=0;w<2;++w){var E=[];if(b[T]<0!=!!w){S[T]=x[w][T];for(var L=0;L<2;++L){S[M]=x[L^w][M];for(var C=0;C<2;++C)S[A]=x[C^L^w][A],E.push(S.slice())}for(var P=y?5:4,L=P;L===P;++L){if(0===E.length)continue t;E=a.positive(E,k[L])}for(var L=0;L<E.length;++L)for(var A=E[L],O=d(v,u,A,r,l),C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,A[C]),_[C].hi=Math.max(_[C].hi,A[C]),C!==T&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}return _};var n=t("extract-frustum-planes"),a=t("split-polygon"),i=t("./lib/cube.js"),o=t("gl-mat4/multiply"),s=t("gl-mat4/transpose"),l=t("gl-vec4/transformMat4"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],v=[0,0,0]},{"./lib/cube.js":238,"extract-frustum-planes":227,"gl-mat4/multiply":270,"gl-mat4/transpose":279,"gl-vec4/transformMat4":400,"split-polygon":525}],244:[function(t,e,r){"use strict";var n=t("typedarray-pool"),a=t("ndarray-ops"),i=t("ndarray"),o=["uint8","uint8_clamped","uint16","uint32","int8","int16","int32","float32"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error("gl-buffer: If resizing buffer, 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s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,"uint16"):u(t,"float32"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if("object"==typeof t&&"number"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if("number"!=typeof t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:451,"ndarray-ops":445,"typedarray-pool":543}],245:[function(t,e,r){"use strict";var n=t("gl-vec3");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],v=1/0,m=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(v=Math.min(v,_),m=!1):m=!0}m||(p=x,d=b),g.push(b)}var w=[s,c,h],k=[l,u,f];e&&(e[0]=w,e[1]=k),0===o&&(o=1);var T=1/o;isFinite(v)||(v=1),i.vectorScale=v;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*T),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*T,O=0;O<8;O++){i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t("./lib/shaders");e.exports.createMesh=t("./create_mesh"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:"cone"})}},{"./create_mesh":246,"./lib/shaders":247,"gl-vec3":348}],246:[function(t,e,r){"use strict";var n=t("gl-shader"),a=t("gl-buffer"),i=t("gl-vao"),o=t("gl-texture2d"),s=t("gl-mat4/multiply"),l=t("gl-mat4/invert"),c=t("ndarray"),u=t("colormap"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"lightPosition"in t&&(this.lightPosition=t.lightPosition),"opacity"in t&&(this.opacity=t.opacity),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var v=0;v<p.length;++v){var m=p[v];d=Math.min(d,m),g=Math.max(g,m)}else for(v=0;v<n.length;++v){m=n[v][2];d=Math.min(d,m),g=Math.max(g,m)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(v=0;v<n.length;++v)for(var y=n[v],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(v=0;v<r.length;++v){var _=r[v];switch(_.length){case 3:for(x=0;x<3;++x){y=n[k=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var k;y=n[k=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var T=a[k];o.push(T[0],T[1],T[2],T[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[k]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(v)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return"cone"===this.traceType?a.index=Math.floor(r[1]/48):"streamtube"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),u=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=a(t),d=a(t),g=a(t),v=a(t),m=a(t),y=new f(t,h,l,u,p,d,m,g,v,i(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||"cone");return y.update(e),y}},{colormap:128,"gl-buffer":244,"gl-mat4/invert":268,"gl-mat4/multiply":270,"gl-shader":304,"gl-texture2d":324,"gl-vao":329,ndarray:451}],247:[function(t,e,r){var n=t("glslify"),a=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec3 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\n\nuniform float vectorScale, coneScale, coneOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 eyePosition, lightPosition;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n // Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * conePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(conePosition, 1.0);\n vec4 t_position = view * conePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = conePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),i=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the cone vertex and normal at the given index.\n//\n// The returned vertex is for a cone with its top at origin and height of 1.0,\n// pointing in the direction of the vector attribute.\n//\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\n// These vertices are used to make up the triangles of the cone by the following:\n// segment + 0 top vertex\n// segment + 1 perimeter vertex a+1\n// segment + 2 perimeter vertex a\n// segment + 3 center base vertex\n// segment + 4 perimeter vertex a\n// segment + 5 perimeter vertex a+1\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\n// To go from index to segment, floor(index / 6)\n// To go from segment to angle, 2*pi * (segment/segmentCount)\n// To go from index to segment index, index - (segment*6)\n//\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\n\n const float segmentCount = 8.0;\n\n float index = rawIndex - floor(rawIndex /\n (segmentCount * 6.0)) *\n (segmentCount * 6.0);\n\n float segment = floor(0.001 + index/6.0);\n float segmentIndex = index - (segment*6.0);\n\n normal = -normalize(d);\n\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\n return mix(vec3(0.0), -d, coneOffset);\n }\n\n float nextAngle = (\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\n (segmentIndex > 4.99 && segmentIndex < 5.01)\n ) ? 1.0 : 0.0;\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\n\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\n vec3 v2 = v1 - d;\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d)*0.25;\n vec3 y = v * sin(angle) * length(d)*0.25;\n vec3 v3 = v2 + x + y;\n if (segmentIndex < 3.0) {\n vec3 tx = u * sin(angle);\n vec3 ty = v * -cos(angle);\n vec3 tangent = tx + ty;\n normal = normalize(cross(v3 - v1, tangent));\n }\n\n if (segmentIndex == 0.0) {\n return mix(d, vec3(0.0), coneOffset);\n }\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float vectorScale, coneScale, coneOffset;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n gl_Position = projection * view * conePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},{glslify:410}],248:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34000:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],249:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":248}],250:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),o=a(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=i(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t("gl-buffer"),a=t("gl-vao"),i=t("./shaders/index"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var o=a[i];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return a.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var a=[],i=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<i;++l){for(var u=r[l],f=0;f<3;++f)if(isNaN(u[f])||!isFinite(u[f]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var g;if(p[0][s]<0)(g=u.slice())[s]+=p[0][s],a.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(a,g,d,s);if(p[1][s]>0)(g=u.slice())[s]+=p[1][s],a.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(a,g,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(a)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":251,"gl-buffer":244,"gl-vao":329}],251:[function(t,e,r){"use strict";var n=t("glslify"),a=t("gl-shader"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n vec4 worldPosition = model * vec4(position, 1.0);\n worldPosition = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n gl_Position = projection * view * worldPosition;\n fragColor = color;\n fragPosition = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n gl_FragColor = opacity * fragColor;\n}"]);e.exports=function(t){return a(t,i,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},{"gl-shader":304,glslify:410}],252:[function(t,e,r){"use strict";var n=t("gl-texture2d");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension("WEBGL_draw_buffers");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(var i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if("number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error("gl-fbo: Parameters are too large for FBO");var h=1;if("color"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(h>1){if(!c)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+h+" draw buffers")}}var f=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&h>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;"depth"in n&&(g=!!n.depth);var v=!1;"stencil"in n&&(v=!!n.stencil);return new d(t,e,r,f,h,g,v,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error("gl-fbo: Framebuffer unsupported");case i:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,v=[0|e,0|r];Object.defineProperties(v,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=v,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m<o;++m)t.color[m]=f(r,a,i,v,r.RGBA,r.COLOR_ATTACHMENT0+m);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension("WEBGL_depth_texture");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),m=0;m<t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function v(t,e,r){if(t._destroyed)throw new Error("gl-fbo: Can't resize destroyed FBO");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-fbo: Can't resize FBO, invalid dimensions");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,v(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{"gl-texture2d":324}],253:[function(t,e,r){var n=t("sprintf-js").sprintf,a=t("gl-constants/lookup"),i=t("glsl-shader-name"),o=t("add-line-numbers");e.exports=function(t,e,r){"use strict";var s=i(e)||"of unknown name (see npm glsl-shader-name)",l="unknown type";void 0!==r&&(l=r===a.FRAGMENT_SHADER?"fragment":"vertex");for(var c=n("Error compiling %s shader %s:\n",l,s),u=n("%s%s",c,t),h=t.split("\n"),f={},p=0;p<h.length;p++){var d=h[p];if(""!==d&&"\0"!==d){var g=parseInt(d.split(":")[2]);if(isNaN(g))throw new Error(n("Could not parse error: %s",d));f[g]=d}}for(var v=o(e).split("\n"),p=0;p<v.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var m=v[p];if(c+=m+"\n",f[p+1]){var y=f[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),c+=n("^^^ %s\n\n",y)}}return{long:c.trim(),short:u.trim()}}},{"add-line-numbers":64,"gl-constants/lookup":249,"glsl-shader-name":402,"sprintf-js":526}],254:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t("binary-search-bounds"),a=t("iota-array"),i=t("typedarray-pool"),o=t("gl-shader"),s=t("gl-buffer"),l=t("./lib/shaders");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=o;var l=t.colorLevels||[0],c=t.colorValues||[0,0,0,1],u=l.length,h=this.bounds,p=h[0]=r[0],d=h[1]=o[0],g=1/((h[2]=r[r.length-1])-p),v=1/((h[3]=o[o.length-1])-d),m=e[0],y=e[1];this.shape=[m,y];var x=(m-1)*(y-1)*(f.length>>>1);this.numVertices=x;for(var b=i.mallocUint8(4*x),_=i.mallocFloat32(2*x),w=i.mallocUint8(2*x),k=i.mallocUint32(x),T=0,M=0;M<y-1;++M)for(var A=v*(o[M]-d),S=v*(o[M+1]-d),E=0;E<m-1;++E)for(var L=g*(r[E]-p),C=g*(r[E+1]-p),P=0;P<f.length;P+=2){var O,z,I,D,R=f[P],F=f[P+1],B=s[(M+F)*m+(E+R)],N=n.le(l,B);if(N<0)O=c[0],z=c[1],I=c[2],D=c[3];else if(N===u-1)O=c[4*u-4],z=c[4*u-3],I=c[4*u-2],D=c[4*u-1];else{var j=(B-l[N])/(l[N+1]-l[N]),V=1-j,U=4*N,q=4*(N+1);O=V*c[U]+j*c[q],z=V*c[U+1]+j*c[q+1],I=V*c[U+2]+j*c[q+2],D=V*c[U+3]+j*c[q+3]}b[4*T]=255*O,b[4*T+1]=255*z,b[4*T+2]=255*I,b[4*T+3]=255*D,_[2*T]=.5*L+.5*C,_[2*T+1]=.5*A+.5*S,w[2*T]=R,w[2*T+1]=F,k[T]=M*m+E,T+=1}this.positionBuffer.update(_),this.weightBuffer.update(w),this.colorBuffer.update(b),this.idBuffer.update(k),i.free(_),i.free(b),i.free(w),i.free(k)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{"./lib/shaders":255,"binary-search-bounds":256,"gl-buffer":244,"gl-shader":304,"iota-array":417,"typedarray-pool":543}],255:[function(t,e,r){"use strict";var n=t("glslify");e.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n fragColor = color;\n gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n vec2 d = step(.5, vWeight);\n vec4 id = fragId + pickOffset;\n id.x += d.x + d.y*shape.x;\n\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n vWeight = weight;\n\n fragId = pickId;\n\n vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},{glslify:410}],256:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],257:[function(t,e,r){var n=t("glslify"),a=t("gl-shader"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, nextPosition;\nattribute float arcLength, lineWidth;\nattribute vec4 color;\n\nuniform vec2 screenShape;\nuniform float pixelRatio;\nuniform mat4 model, view, projection;\n\nvarying vec4 fragColor;\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n vec4 startPoint = project(position);\n vec4 endPoint = project(nextPosition);\n\n vec2 A = startPoint.xy / startPoint.w;\n vec2 B = endPoint.xy / endPoint.w;\n\n float clipAngle = atan(\n (B.y - A.y) * screenShape.y,\n (B.x - A.x) * screenShape.x\n );\n\n vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\n sin(clipAngle),\n -cos(clipAngle)\n ) / screenShape;\n\n gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\n\n worldPosition = position;\n pixelArcLength = arcLength;\n fragColor = color;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D dashTexture;\nuniform float dashScale;\nuniform float opacity;\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\n fragColor.a * opacity == 0.\n ) discard;\n\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\n if(dashWeight < 0.5) {\n discard;\n }\n gl_FragColor = fragColor * opacity;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\n#define FLOAT_MAX 1.70141184e38\n#define FLOAT_MIN 1.17549435e-38\n\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\nvec4 packFloat(float v) {\n float av = abs(v);\n\n //Handle special cases\n if(av < FLOAT_MIN) {\n return vec4(0.0, 0.0, 0.0, 0.0);\n } else if(v > FLOAT_MAX) {\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\n } else if(v < -FLOAT_MAX) {\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\n }\n\n vec4 c = vec4(0,0,0,0);\n\n //Compute exponent and mantissa\n float e = floor(log2(av));\n float m = av * pow(2.0, -e) - 1.0;\n\n //Unpack mantissa\n c[1] = floor(128.0 * m);\n m -= c[1] / 128.0;\n c[2] = floor(32768.0 * m);\n m -= c[2] / 32768.0;\n c[3] = floor(8388608.0 * m);\n\n //Unpack exponent\n float ebias = e + 127.0;\n c[0] = floor(ebias / 2.0);\n ebias -= c[0] * 2.0;\n c[1] += floor(ebias) * 128.0;\n\n //Unpack sign bit\n c[0] += 128.0 * step(0.0, -v);\n\n //Scale back to range\n return c / 255.0;\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform float pickId;\nuniform vec3 clipBounds[2];\n\nvarying vec3 worldPosition;\nvarying float pixelArcLength;\nvarying vec4 fragColor;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\n\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{"gl-shader":304,glslify:410}],258:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new m(e,r,o,s,l,d);return g.update(t),g};var n=t("gl-buffer"),a=t("gl-vao"),i=t("gl-texture2d"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t("binary-search-bounds"),c=t("ndarray"),u=t("./lib/shaders"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function v(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function m(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=m.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var 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i,o,s,l,c,u,h,f,p,d,g=e[0],v=e[1],m=e[2],y=a[0],x=a[1],b=a[2],_=r[0],w=r[1],k=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(m-k)<1e-6)return n(t);h=g-_,f=v-w,p=m-k,d=1/Math.sqrt(h*h+f*f+p*p),i=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(i*i+o*o+s*s))?(i*=d=1/d,o*=d,s*=d):(i=0,o=0,s=0);l=f*s-p*o,c=p*i-h*s,u=h*o-f*i,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=i,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(i*g+o*v+s*m),t[13]=-(l*g+c*v+u*m),t[14]=-(h*g+f*v+p*m),t[15]=1,t}},{"./identity":267}],270:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],g=e[12],v=e[13],m=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*v,t[2]=x*i+b*c+_*p+w*m,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*v,t[6]=x*i+b*c+_*p+w*m,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*v,t[10]=x*i+b*c+_*p+w*m,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*v,t[14]=x*i+b*c+_*p+w*m,t[15]=x*o+b*u+_*d+w*y,t}},{}],271:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],272:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],273:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,w,k,T,M,A,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,a=Math.sin(r),i=Math.cos(r),o=1-i,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],v=e[9],m=e[10],y=e[11],x=E*E*o+i,b=L*E*o+C*a,_=C*E*o-L*a,w=E*L*o-C*a,k=L*L*o+i,T=C*L*o+E*a,M=E*C*o+L*a,A=L*C*o-E*a,S=C*C*o+i,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+v*_,t[2]=c*x+p*b+m*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*k+g*T,t[5]=l*w+f*k+v*T,t[6]=c*w+p*k+m*T,t[7]=u*w+d*k+y*T,t[8]=s*M+h*A+g*S,t[9]=l*M+f*A+v*S,t[10]=c*M+p*A+m*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],274:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],275:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],276:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],277:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*a,t[5]=e[5]*a,t[6]=e[6]*a,t[7]=e[7]*a,t[8]=e[8]*i,t[9]=e[9]*i,t[10]=e[10]*i,t[11]=e[11]*i,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],278:[function(t,e,r){e.exports=function(t,e,r){var n,a,i,o,s,l,c,u,h,f,p,d,g=r[0],v=r[1],m=r[2];e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(n=e[0],a=e[1],i=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],t[0]=n,t[1]=a,t[2]=i,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*v+h*m+e[12],t[13]=a*g+l*v+f*m+e[13],t[14]=i*g+c*v+p*m+e[14],t[15]=o*g+u*v+d*m+e[15]);return t}},{}],279:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],a=e[3],i=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=i,t[11]=e[14],t[12]=a,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],280:[function(t,e,r){"use strict";e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:a(t,e);break;case 16:i(t,e);break;default:throw new Error("currently supports matrices up to 4x4")}return t};var n=t("gl-mat2/invert"),a=t("gl-mat3/invert"),i=t("gl-mat4/invert")},{"gl-mat2/invert":260,"gl-mat3/invert":261,"gl-mat4/invert":268}],281:[function(t,e,r){"use strict";var n=t("barycentric"),a=t("polytope-closest-point/lib/closest_point_2d.js");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);for(var f=0,p=1/0,h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}for(var v=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),m=0,h=0;h<3;++h){if(v[h]<-.001||v[h]>1.0001)return null;m+=v[h]}if(Math.abs(m-1)>.001)return null;return[f,s(t,v),v]}},{barycentric:75,"polytope-closest-point/lib/closest_point_2d.js":482}],282:[function(t,e,r){var n=t("glslify"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, normal;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model\n , view\n , projection\n , inverseModel;\nuniform vec3 eyePosition\n , lightPosition;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvec4 project(vec3 p) {\n return projection * view * model * vec4(p, 1.0);\n}\n\nvoid main() {\n gl_Position = project(position);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * vec4(position , 1.0);\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n f_color = color;\n f_data = position;\n f_uv = uv;\n}\n"]),i=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat cookTorranceSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness,\n float fresnel) {\n\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\n\n //Half angle vector\n vec3 H = normalize(lightDirection + viewDirection);\n\n //Geometric term\n float NdotH = max(dot(surfaceNormal, H), 0.0);\n float VdotH = max(dot(viewDirection, H), 0.000001);\n float LdotH = max(dot(lightDirection, H), 0.000001);\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\n float G = min(1.0, min(G1, G2));\n \n //Distribution term\n float D = beckmannDistribution(NdotH, roughness);\n\n //Fresnel term\n float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness\n , fresnel\n , kambient\n , kdiffuse\n , kspecular;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n , f_lightDirection\n , f_eyeDirection\n , f_data;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (f_color.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], f_data)\n ) discard;\n\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\n\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * f_color.a;\n}\n"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\n\nuniform mat4 model, view, projection;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_color = color;\n f_data = position;\n f_uv = uv;\n}"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec3 f_data;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\n\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 uv;\nattribute float pointSize;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n }\n gl_PointSize = pointSize;\n f_color = color;\n f_uv = uv;\n}"]),c=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D texture;\nuniform float opacity;\n\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\n if(dot(pointR, pointR) > 0.25) {\n discard;\n }\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n f_id = id;\n f_position = position;\n}"]),h=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]),f=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute float pointSize;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\n } else {\n gl_Position = projection * view * model * vec4(position, 1.0);\n gl_PointSize = pointSize;\n }\n f_id = id;\n f_position = position;\n}"]),p=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\n\nvoid main() {\n gl_Position = projection * view * model * vec4(position, 1.0);\n}"]),d=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec3 contourColor;\n\nvoid main() {\n gl_FragColor = vec4(contourColor, 1.0);\n}\n"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{glslify:410}],283:[function(t,e,r){"use strict";var n=t("gl-shader"),a=t("gl-buffer"),i=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),h=t("colormap"),f=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./lib/shaders"),g=t("./lib/closest-point"),v=d.meshShader,m=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,k,T,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=k,this.pointSizes=T,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var T=k.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}T.isOpaque=function(){return!this.hasAlpha},T.isTransparent=function(){return this.hasAlpha},T.pickSlots=1,T.setPickBase=function(t){this.pickId=t},T.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],v=a[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},T.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,"contourEnable"in t&&(this.contourEnable=t.contourEnable),"contourColor"in t&&(this.contourColor=t.contourColor),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"lightPosition"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,"opacity"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),"opacityscale"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),"ambient"in t&&(this.ambientLight=t.ambient),"diffuse"in t&&(this.diffuseLight=t.diffuse),"specular"in t&&(this.specularLight=t.specular),"roughness"in t&&(this.roughness=t.roughness),"fresnel"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:"rgba"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,k=t.cellNormals,T=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=s.faceNormals(r,n,A)),k||w||(w=s.vertexNormals(r,n,T));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,z=t.cellIntensity,I=1/0,D=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];I=Math.min(I,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)I=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];I=Math.min(I,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];I=Math.min(I,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],V=0;V<3;++V)!isNaN(j[V])&&isFinite(j[V])&&(this.bounds[0][V]=Math.min(this.bounds[0][V],j[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],j[V]));var U=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],V=0;V<3;++V)if(isNaN(j[V])||!isFinite(j[V]))continue t;m.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(V=0;V<2;++V){j=n[W=G[V]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(V=0;V<2;++V){j=n[W=G[V]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],g.push(Z[0],Z[1]),v.push(R)}q+=1;break;case 3:for(V=0;V<3;++V)for(j=n[W=G[V]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(V=0;V<3;++V){var W,X,Z,J;j=n[W=G[2-V]];a.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?i.push(X[0],X[1],X[2],this.opacity):(i.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],c.push(Z[0],Z[1]),J=w?w[W]:k[R],l.push(J[0],J[1],J[2]),f.push(R)}U+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=U,this.pointPositions.update(m),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(v)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},T.drawTransparent=T.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},T.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},T.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},T.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension("OES_standard_derivatives")||t.getExtension("MOZ_OES_standard_derivatives")||t.getExtension("WEBKIT_OES_standard_derivatives")))throw new Error("derivatives not supported");var r=function(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=A(t),c=S(t),h=E(t),f=L(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),y=a(t),x=a(t),b=a(t),_=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=a(t),T=a(t),M=a(t),C=a(t),P=i(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:T,type:t.FLOAT,size:4},{buffer:M,type:t.FLOAT,size:2}]),O=a(t),z=a(t),I=a(t),D=a(t),R=a(t),F=i(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:I,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=new k(t,p,r,s,l,c,h,f,d,b,g,y,x,_,w,C,T,M,P,O,R,z,I,D,F,B,i(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},{"./lib/closest-point":281,"./lib/shaders":282,colormap:128,"gl-buffer":244,"gl-mat4/invert":268,"gl-mat4/multiply":270,"gl-shader":304,"gl-texture2d":324,"gl-vao":329,ndarray:451,normals:454,"simplicial-complex-contour":516,"typedarray-pool":543}],284:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),a=t("gl-shader"),i=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":287,"gl-buffer":244,"gl-shader":304}],285:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t("gl-buffer"),a=t("gl-shader"),i=t("binary-search-bounds"),o=t("./shaders");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var v=i[g],m=i[g+2]-v,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*m/x,c[g]=2*(v-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,v=s.pixelRatio,m=s.screenBox,y=m[2]-m[0],x=m[3]-m[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var k=p[w],T=p[w+2]-k,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*T/A,t[w]=2*(k-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*h[0].length,O=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),I=0+6*O,D=6*Math.max(0,z-O),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*v/y,o[1]=L[1]*v/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*v/y,o[1]=E[0]*v/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*v/y,o[1]=L[3]*v/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*v/y,o[1]=E[2]*v/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":287,"binary-search-bounds":289,"gl-buffer":244,"gl-shader":304}],286:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),a=t("gl-shader"),i=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":287,"gl-buffer":244,"gl-shader":304}],287:[function(t,e,r){"use strict";var n=t("glslify"),a=n(["precision lowp float;\n#define GLSLIFY 1\nuniform vec4 color;\nvoid main() {\n gl_FragColor = vec4(color.xyz * color.w, color.w);\n}\n"]);e.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n vec2 delta = normalize(perp(start - end));\n vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag:a,textVert:n(["#define GLSLIFY 1\nattribute vec3 textCoordinate;\n\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\nuniform float angle;\n\nvoid main() {\n float dataOffset = textCoordinate.z;\n vec2 glyphOffset = textCoordinate.xy;\n mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\n vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\n glyphMatrix * glyphOffset * textScale + screenOffset;\n gl_Position = vec4(screenCoordinate, 0, 1);\n}\n"]),textFrag:a,gridVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale;\nuniform float lineWidth;\n\nvoid main() {\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\n gl_Position = vec4(pos, 0, 1);\n}\n"]),gridFrag:a,boxVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 lo, hi;\n\nvec2 screen(vec2 v) {\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\n}\n"]),tickVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 dataCoord;\n\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\n\nvoid main() {\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\n gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\n}\n"])}},{glslify:410}],288:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t("gl-buffer"),a=t("gl-shader"),i=t("text-cache"),o=t("binary-search-bounds"),s=t("./shaders");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,v=e.tickColor,m=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],k=this.labelCount[t],T=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t],r.uniforms.angle=m[t],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t]&&k&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,k)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t+2],r.uniforms.angle=m[t+2],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t+2]&&k&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,k))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,v=a[o],m=a[o+2]-v;p[o]=2*l/u*g/m,f[o]=2*(s-c)/u*g/m}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,v=p.font||"sans-serif";a=p.fontSize||12;for(var m=1/(c[o+2]-c[o]),y=c[o],x=g.split("\n"),b=0;b<x.length;b++)for(n=i(v,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*m);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:"center"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":287,"binary-search-bounds":289,"gl-buffer":244,"gl-shader":304,"text-cache":534}],289:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],290:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t("gl-select-static"),a=t("./lib/grid"),i=t("./lib/text"),o=t("./lib/line"),s=t("./lib/box");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var v=this.borderLineEnable,m=this.borderLineWidth,y=this.borderLineColor;for(v[1]&&o.drawLine(r[0],r[1]-.5*m[1]*a,r[0],r[3]+.5*m[3]*a,m[1],y[1]),v[0]&&o.drawLine(r[0]-.5*m[0]*a,r[1],r[2]+.5*m[2]*a,r[1],m[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*m[1]*a,r[2],r[3]+.5*m[3]*a,m[3],y[3]),v[2]&&o.drawLine(r[0]-.5*m[0]*a,r[3],r[2]+.5*m[2]*a,r[3],m[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!("titleEnable"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||["x","y"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||["sans-serif","sans-serif"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{"./lib/box":284,"./lib/grid":285,"./lib/line":286,"./lib/text":288,"gl-select-static":303}],291:[function(t,e,r){"use strict";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);"zoomMin"in e&&(r[0]=e.zoomMin);"zoomMax"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||"orbit",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:"rotate",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&"orthographic"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),"turntable"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener("contextmenu",function(t){return t.preventDefault(),!1}),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s="rotate"===o,l="pan"===o,u="zoom"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,v=!!(1&e),m=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,k=d.flipY?1:-1,T=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&v&&!f&&!p&&!g||v&&!f&&!p&&g)&&c.rotate(M,w*T*b,-k*T*_,0),(l&&v&&!f&&!p&&!g||m||v&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&v&&!f&&!p&&!g||y||v&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener("touchstart",function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener("touchmove",function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener("touchend",function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()},!!l&&{passive:!1}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}},!0)},d.enableMouseListeners(),d};var n=t("right-now"),a=t("3d-view"),i=t("mouse-change"),o=t("mouse-wheel"),s=t("mouse-event-offset"),l=t("has-passive-events")},{"3d-view":54,"has-passive-events":412,"mouse-change":436,"mouse-event-offset":437,"mouse-wheel":439,"right-now":502}],292:[function(t,e,r){var n=t("glslify"),a=t("gl-shader"),i=n(["precision mediump float;\n#define GLSLIFY 1\nattribute vec2 position;\nvarying vec2 uv;\nvoid main() {\n uv = position;\n gl_Position = vec4(position, 0, 1);\n}"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform sampler2D accumBuffer;\nvarying vec2 uv;\n\nvoid main() {\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\n gl_FragColor = min(vec4(1,1,1,1), accum);\n}"]);e.exports=function(t){return a(t,i,o,null,[{name:"position",type:"vec2"}])}},{"gl-shader":304,glslify:410}],293:[function(t,e,r){"use strict";var n=t("./camera.js"),a=t("gl-axes3d"),i=t("gl-axes3d/properties"),o=t("gl-spikes3d"),s=t("gl-select-static"),l=t("gl-fbo"),c=t("a-big-triangle"),u=t("mouse-change"),h=t("gl-mat4/perspective"),f=t("gl-mat4/ortho"),p=t("./lib/shader"),d=t("is-mobile")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function v(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function m(t){return"boolean"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e)if(e=document.createElement("canvas"),t.container){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var y=t.gl;y||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),y=function(t,e){var r=null;try{(r=t.getContext("webgl",e))||(r=t.getContext("experimental-webgl",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!y)throw new Error("webgl not supported");var x=t.bounds||[[-10,-10,-10],[10,10,10]],b=new g,_=l(y,y.drawingBufferWidth,y.drawingBufferHeight,{preferFloat:!d}),w=p(y),k=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||"turntable",_ortho:k},M=t.axes||{},A=a(y,M);A.enable=!M.disable;var S=t.spikes||{},E=o(y,S),L=[],C=[],P=[],O=[],z=!0,I=!0,D=new Array(16),R=new Array(16),F={view:null,projection:D,model:R,_ortho:!1},I=!0,B=[y.drawingBufferWidth,y.drawingBufferHeight],N=t.cameraObject||n(e,T),j={gl:y,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:b,camera:N,axes:A,axesPixels:null,spikes:E,bounds:x,objects:L,shape:B,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:m(t.autoResize),autoBounds:m(t.autoBounds),autoScale:!!t.autoScale,autoCenter:m(t.autoCenter),clipToBounds:m(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:F,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},V=[y.drawingBufferWidth/j.pixelRatio|0,y.drawingBufferHeight/j.pixelRatio|0];function U(){if(!j._stopped&&j.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*j.pixelRatio),i=0|Math.ceil(n*j.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||"absolute",o.left="0px",o.top="0px",o.width=r+"px",o.height=n+"px",z=!0}}}j.autoResize&&U();function q(){for(var t=L.length,e=O.length,r=0;r<e;++r)P[r]=0;t:for(var r=0;r<t;++r){var n=L[r],a=n.pickSlots;if(a){for(var i=0;i<e;++i)if(P[i]+a<255){C[r]=i,n.setPickBase(P[i]+1),P[i]+=a;continue t}var o=s(y,B);C[r]=e,O.push(o),P.push(a),n.setPickBase(1),e+=1}else C[r]=-1}for(;e>0&&0===P[e-1];)P.pop(),O.pop().dispose()}function H(){if(j.contextLost)return!0;y.isContextLost()&&(j.contextLost=!0,j.mouseListener.enabled=!1,j.selection.object=null,j.oncontextloss&&j.oncontextloss())}window.addEventListener("resize",U),j.update=function(t){j._stopped||(t=t||{},z=!0,I=!0)},j.add=function(t){j._stopped||(t.axes=A,L.push(t),C.push(-1),z=!0,I=!0,q())},j.remove=function(t){if(!j._stopped){var e=L.indexOf(t);e<0||(L.splice(e,1),C.pop(),z=!0,I=!0,q())}},j.dispose=function(){if(!j._stopped&&(j._stopped=!0,window.removeEventListener("resize",U),e.removeEventListener("webglcontextlost",H),j.mouseListener.enabled=!1,!j.contextLost)){A.dispose(),E.dispose();for(var t=0;t<L.length;++t)L[t].dispose();_.dispose();for(var t=0;t<O.length;++t)O[t].dispose();w.dispose(),y=null,A=null,E=null,L=[]}},j._mouseRotating=!1,j._prevButtons=0,j.enableMouseListeners=function(){j.mouseListener=u(e,function(t,e,r){if(!j._stopped){var n=O.length,a=L.length,i=b.object;b.distance=1/0,b.mouse[0]=e,b.mouse[1]=r,b.object=null,b.screen=null,b.dataCoordinate=b.dataPosition=null;var o=!1;if(t&&j._prevButtons)j._mouseRotating=!0;else{j._mouseRotating&&(I=!0),j._mouseRotating=!1;for(var s=0;s<n;++s){var l=O[s].query(e,V[1]-r-1,j.pickRadius);if(l){if(l.distance>b.distance)continue;for(var c=0;c<a;++c){var u=L[c];if(C[c]===s){var h=u.pick(l);h&&(b.buttons=t,b.screen=l.coord,b.distance=l.distance,b.object=u,b.index=h.distance,b.dataPosition=h.position,b.dataCoordinate=h.dataCoordinate,b.data=h,o=!0)}}}}}i&&i!==b.object&&(i.highlight&&i.highlight(null),z=!0),b.object&&(b.object.highlight&&b.object.highlight(b.data),z=!0),(o=o||b.object!==i)&&j.onselect&&j.onselect(b),1&t&&!(1&j._prevButtons)&&j.onclick&&j.onclick(b),j._prevButtons=t}})},e.addEventListener("webglcontextlost",H);var G=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],Y=[G[0].slice(),G[1].slice()];function W(){if(!H()){U();var t=j.camera.tick();F.view=j.camera.matrix,z=z||t,I=I||t,A.pixelRatio=j.pixelRatio,E.pixelRatio=j.pixelRatio;var e=L.length,r=G[0],n=G[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var a=0;a<e;++a){var o=L[a];o.pixelRatio=j.pixelRatio,o.axes=j.axes,z=z||!!o.dirty,I=I||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)r[p]=Math.min(r[p],l[p]),n[p]=Math.max(n[p],u[p])}var d=j.bounds;if(j.autoBounds)for(var p=0;p<3;++p){if(n[p]<r[p])r[p]=-1,n[p]=1;else{r[p]===n[p]&&(r[p]-=1,n[p]+=1);var g=.05*(n[p]-r[p]);r[p]=r[p]-g,n[p]=n[p]+g}d[0][p]=r[p],d[1][p]=n[p]}for(var m=!1,p=0;p<3;++p)m=m||Y[0][p]!==d[0][p]||Y[1][p]!==d[1][p],Y[0][p]=d[0][p],Y[1][p]=d[1][p];if(I=I||m,z=z||m){if(m){for(var x=[0,0,0],a=0;a<3;++a)x[a]=v((d[1][a]-d[0][a])/10);A.autoTicks?A.update({bounds:d,tickSpacing:x}):A.update({bounds:d})}var T=y.drawingBufferWidth,M=y.drawingBufferHeight;B[0]=T,B[1]=M,V[0]=0|Math.max(T/j.pixelRatio,1),V[1]=0|Math.max(M/j.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;for(var g=0,d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(var d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(j,k);for(var a=0;a<e;++a){var o=L[a];o.axesBounds=d,j.clipToBounds&&(o.clipBounds=d)}b.object&&(j.snapToData?E.position=b.dataCoordinate:E.position=b.dataPosition,E.bounds=d),I&&(I=!1,function(){if(H())return;y.colorMask(!0,!0,!0,!0),y.depthMask(!0),y.disable(y.BLEND),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL);for(var t=L.length,e=O.length,r=0;r<e;++r){var n=O[r];n.shape=V,n.begin();for(var a=0;a<t;++a)if(C[a]===r){var i=L[a];i.drawPick&&(i.pixelRatio=1,i.drawPick(F))}n.end()}}()),j.axesPixels=i(j.axes,F,T,M),j.onrender&&j.onrender(),y.bindFramebuffer(y.FRAMEBUFFER,null),y.viewport(0,0,T,M),j.clearRGBA(),y.depthMask(!0),y.colorMask(!0,!0,!0,!0),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL),y.disable(y.BLEND),y.disable(y.CULL_FACE);var S=!1;A.enable&&(S=S||A.isTransparent(),A.draw(F)),E.axes=A,b.object&&E.draw(F),y.disable(y.CULL_FACE);for(var a=0;a<e;++a){var o=L[a];o.axes=A,o.pixelRatio=j.pixelRatio,o.isOpaque&&o.isOpaque()&&o.draw(F),o.isTransparent&&o.isTransparent()&&(S=!0)}if(S){_.shape=B,_.bind(),y.clear(y.DEPTH_BUFFER_BIT),y.colorMask(!1,!1,!1,!1),y.depthMask(!0),y.depthFunc(y.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isOpaque&&o.isOpaque()&&o.draw(F)}y.enable(y.BLEND),y.blendEquation(y.FUNC_ADD),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.colorMask(!0,!0,!0,!0),y.depthMask(!1),y.clearColor(0,0,0,0),y.clear(y.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isTransparent&&o.isTransparent()&&o.drawTransparent(F)}y.bindFramebuffer(y.FRAMEBUFFER,null),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.disable(y.DEPTH_TEST),w.bind(),_.color[0].bind(0),w.uniforms.accumBuffer=0,c(y),y.disable(y.BLEND)}z=!1;for(var a=0;a<e;++a)L[a].dirty=!1}}}return j.enableMouseListeners(),function t(){j._stopped||j.contextLost||(W(),requestAnimationFrame(t))}(),j.redraw=function(){j._stopped||(z=!0,W())},j},createCamera:n}},{"./camera.js":291,"./lib/shader":292,"a-big-triangle":62,"gl-axes3d":236,"gl-axes3d/properties":243,"gl-fbo":252,"gl-mat4/ortho":271,"gl-mat4/perspective":272,"gl-select-static":303,"gl-spikes3d":313,"is-mobile":421,"mouse-change":436}],294:[function(t,e,r){var n=t("glslify");r.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n highp float a = 12.9898;\n highp float b = 78.233;\n highp float c = 43758.5453;\n highp float d = dot(co.xy, vec2(a, b));\n highp float e = mod(d, 3.14);\n return fract(sin(e) * c);\n}\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n // if we don't jitter the point size a bit, overall point cloud\n // saturation 'jumps' on zooming, which is disturbing and confusing\n gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n if(pointCloud != 0.0) { // pointCloud is truthy\n // get the same square surface as circle would be\n gl_PointSize *= 0.886;\n }\n}"]),r.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n float radius;\n vec4 baseColor;\n if(pointCloud != 0.0) { // pointCloud is truthy\n if(centerFraction == 1.0) {\n gl_FragColor = color;\n } else {\n gl_FragColor = mix(borderColor, color, centerFraction);\n }\n } else {\n radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n baseColor = mix(borderColor, color, step(radius, centerFraction));\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n }\n}\n"]),r.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n vec3 hgPosition = matrix * vec3(position, 1);\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\n gl_PointSize = pointSize;\n\n vec4 id = pickId + pickOffset;\n id.y += floor(id.x / 256.0);\n id.x -= floor(id.x / 256.0) * 256.0;\n\n id.z += floor(id.y / 256.0);\n id.y -= floor(id.y / 256.0) * 256.0;\n\n id.w += floor(id.z / 256.0);\n id.z -= floor(id.z / 256.0) * 256.0;\n\n fragId = id;\n}\n"]),r.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n if(radius > 1.0) {\n discard;\n }\n gl_FragColor = fragId / 255.0;\n}\n"])},{glslify:410}],295:[function(t,e,r){"use strict";var n=t("gl-shader"),a=t("gl-buffer"),i=t("typedarray-pool"),o=t("./lib/shader");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{"./lib/shader":294,"gl-buffer":244,"gl-shader":304,"typedarray-pool":543}],296:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],v=r[3];(i=c*p+u*d+h*g+f*v)<0&&(i=-i,p=-p,d=-d,g=-g,v=-v);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*v,t}},{}],297:[function(t,e,r){"use strict";e.exports=function(t){return t||0===t?t.toString():""}},{}],298:[function(t,e,r){"use strict";var n=t("vectorize-text");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{"vectorize-text":548}],299:[function(t,e,r){var n=t("gl-shader"),a=t("glslify"),i=a(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform vec4 highlightId;\nuniform float highlightScale;\nuniform mat4 model, view, projection;\nuniform vec3 clipBounds[2];\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = 1.0;\n if(distance(highlightId, id) < 0.0001) {\n scale = highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1);\n vec4 viewPosition = view * worldPosition;\n viewPosition = viewPosition / viewPosition.w;\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),o=a(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float highlightScale, pixelRatio;\nuniform vec4 highlightId;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float scale = pixelRatio;\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\n scale *= highlightScale;\n }\n\n vec4 worldPosition = model * vec4(position, 1.0);\n vec4 viewPosition = view * worldPosition;\n vec4 clipPosition = projection * viewPosition;\n clipPosition /= clipPosition.w;\n\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\n interpColor = color;\n pickId = id;\n dataCoordinate = position;\n }\n}"]),s=a(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nattribute vec3 position;\nattribute vec4 color;\nattribute vec2 glyph;\nattribute vec4 id;\n\nuniform float highlightScale;\nuniform vec4 highlightId;\nuniform vec3 axes[2];\nuniform mat4 model, view, projection;\nuniform vec2 screenSize;\nuniform vec3 clipBounds[2];\nuniform float scale, pixelRatio;\n\nvarying vec4 interpColor;\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\n\n gl_Position = vec4(0,0,0,0);\n } else {\n float lscale = pixelRatio * scale;\n if(distance(highlightId, id) < 0.0001) {\n lscale *= highlightScale;\n }\n\n vec4 clipCenter = projection * view * model * vec4(position, 1);\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\n\n gl_Position = clipPosition;\n interpColor = color;\n pickId = id;\n dataCoordinate = dataPosition;\n }\n}\n"]),l=a(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float opacity;\n\nvarying vec4 interpColor;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\n interpColor.a * opacity == 0.\n ) discard;\n gl_FragColor = interpColor * opacity;\n}\n"]),c=a(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 fragClipBounds[2];\nuniform float pickGroup;\n\nvarying vec4 pickId;\nvarying vec3 dataCoordinate;\n\nvoid main() {\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\n\n gl_FragColor = vec4(pickGroup, pickId.bgr);\n}"]),u=[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"glyph",type:"vec2"},{name:"id",type:"vec4"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};function m(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return m(t,h)},r.createOrtho=function(t){return m(t,f)},r.createProject=function(t){return m(t,p)},r.createPickPerspective=function(t){return m(t,d)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{"gl-shader":304,glslify:410}],300:[function(t,e,r){"use strict";var n=t("is-string-blank"),a=t("gl-buffer"),i=t("gl-vao"),o=t("typedarray-pool"),s=t("gl-mat4/multiply"),l=t("./lib/shaders"),c=t("./lib/glyphs"),u=t("./lib/get-simple-string"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t>1?1:t}function v(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),m=new v(e,r,n,o,h,f,p,d,g,s,c,u);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},m.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],k=h.slice(),T=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(i[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=k,L=0;L<16;++L)m[L]=0;for(L=0;L<4;++L)m[5*L]=1;m[5*v]=0,a[v]<0?m[12+v]=d[0][v]:m[12+v]=d[1][v],s(m,c,m),l.model=m;var C=(v+1)%3,P=(v+2)%3,O=A(x),z=A(b);O[C]=1,z[P]=1;var I=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,z));if(Math.abs(I[1])>Math.abs(D[1])){var R=I;I=D,D=R,R=O,O=z,z=R;var F=C;C=P,P=F}I[0]<0&&(O[C]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);O[C]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=z,l.fragClipBounds[0]=E(T,g[0],v,-1e8),l.fragClipBounds[1]=E(T,g[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&L(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i="\u25bc",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},m.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},m.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in 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u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,v=t.angle,m=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],k=0;k<3;++k)if(isNaN(w[k])||!isFinite(w[k]))continue t;var T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*T.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,I=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(m)&&Array.isArray(m[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],k=0;k<3;++k){if(isNaN(w[k])||!isFinite(w[k]))continue t;h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k])}T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(V=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)D[k]=V[k];D[3]=1}else if(4===V.length){for(k=0;k<4;++k)D[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else 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t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,v,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var m=r*u;o.drawBox(h-m,f-m,p+m,f+m,i),o.drawBox(h-m,d-m,p+m,d+m,i),o.drawBox(h-m,f-m,h+m,d+m,i),o.drawBox(p-m,f-m,p+m,d+m,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{"./lib/shaders":301,"gl-buffer":244,"gl-shader":304}],303:[function(t,e,r){"use strict";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new c(t,o,s)};var 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l(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function c(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=c.prototype;Object.defineProperty(u,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),u.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},u.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},u.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,"number"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),c=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||u<=c)return null;var h=[o-a,u-c],f=i(this.buffer,[h[0],h[1],4],[4,4*n[0],1],4*(a+n[0]*c)),p=s(f.hi(h[0],h[1],1),r,r),d=p[0],g=p[1];return d<0||Math.pow(this.radius,2)<p[2]?null:new l(d+a|0,g+c|0,f.get(d,g,0),[f.get(d,g,1),f.get(d,g,2),f.get(d,g,3)],Math.sqrt(p[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{"bit-twiddle":94,"cwise/lib/wrapper":151,"gl-fbo":252,ndarray:451,"typedarray-pool":543}],304:[function(t,e,r){"use strict";var n=t("./lib/create-uniforms"),a=t("./lib/create-attributes"),i=t("./lib/reflect"),o=t("./lib/shader-cache"),s=t("./lib/runtime-reflect"),l=t("./lib/GLError");function 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f=this,p=f.gl,d=f._vref;f._vref=o.shader(p,p.VERTEX_SHADER,t),d&&d.dispose(),f.vertShader=f._vref.shader;var g=this._fref;if(f._fref=o.shader(p,p.FRAGMENT_SHADER,e),g&&g.dispose(),f.fragShader=f._fref.shader,!r||!c){var v=p.createProgram();if(p.attachShader(v,f.fragShader),p.attachShader(v,f.vertShader),p.linkProgram(v),!p.getProgramParameter(v,p.LINK_STATUS)){var m=p.getProgramInfoLog(v);throw new l(m,"Error linking program:"+m)}r=r||s.uniforms(p,v),c=c||s.attributes(p,v),p.deleteProgram(v)}(c=c.slice()).sort(h);var y,x=[],b=[],_=[];for(y=0;y<c.length;++y){var w=c[y];if(w.type.indexOf("mat")>=0){for(var k=0|w.type.charAt(w.type.length-1),T=new Array(k),M=0;M<k;++M)T[M]=_.length,b.push(w.name+"["+M+"]"),"number"==typeof w.location?_.push(w.location+M):Array.isArray(w.location)&&w.location.length===k&&"number"==typeof w.location[M]?_.push(0|w.location[M]):_.push(-1);x.push({name:w.name,type:w.type,locations:T})}else 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Scale the vector magnitude to stay constant with\n // model & view changes.\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * tubePosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\n\n // vec4 m_position = model * vec4(tubePosition, 1.0);\n vec4 t_position = view * tubePosition;\n gl_Position = projection * t_position;\n\n f_color = color;\n f_data = tubePosition.xyz;\n f_position = position.xyz;\n f_uv = uv;\n}\n"]),i=n(["#extension GL_OES_standard_derivatives : enable\n\nprecision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 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float F = pow(1.0 - VdotN, fresnel);\n\n //Multiply terms and done\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n vec3 N = normalize(f_normal);\n vec3 L = normalize(f_lightDirection);\n vec3 V = normalize(f_eyeDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n // Return up-vector for only-z vector.\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\n // Assign z = 0, x = -b, y = a:\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n return normalize(vec3(-v.y, v.x, 0.0));\n } else {\n return normalize(vec3(0.0, v.z, -v.y));\n }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n float segmentCount = 8.0;\n\n float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n vec3 u = getOrthogonalVector(d);\n vec3 v = normalize(cross(u, d));\n\n vec3 x = u * cos(angle) * length(d);\n vec3 y = v * sin(angle) * length(d);\n vec3 v3 = x + y;\n\n normal = normalize(v3);\n\n return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n vec3 normal;\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n gl_Position = projection * view * tubePosition;\n f_id = id;\n f_position = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:"position",type:"vec4"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},{glslify:410}],315:[function(t,e,r){"use strict";var n=t("gl-vec3"),a=t("gl-vec4"),i=["xyz","xzy","yxz","yzx","zxy","zyx"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map(function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,v=0,m=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),v=n.length(_)/i,m=a.create(),n.copy(m,_),m[3]=w;for(var k=0;k<8;k++)p[k]=[b[0],b[1],b[2],k];if(f.length>0)for(k=0;k<8;k++){var T=(k+1)%8;c.push(f[k],p[k],p[T],p[T],f[T],f[k]),h.push(y,m,m,m,y,y),d.push(g,v,v,v,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=m,m=S;var E=g;g=v,v=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)}),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],v=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var m=g.cells[c],y=[];f.push(y);for(var x=0;x<m.length;x++)y.push(m[x]+v)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||"+x+y+z",p={};-1!==f.indexOf("-x")&&(p.reversedX=!0),-1!==f.indexOf("-y")&&(p.reversedY=!0),-1!==f.indexOf("-z")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,"").replace(/\+/g,""));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),v=s(i[2],u),m=d+1,y=g+1,x=v+1;if(d=l(d,0,h-1),m=l(m,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),v=l(v,0,p-1),x=l(x,0,p-1),d<0||g<0||v<0||m>h-1||y>f-1||x>p-1)return n.create();var b,_,w,k,T,M,A=i[0][d],S=i[0][m],E=i[1][g],L=i[1][y],C=i[2][v],P=(o-A)/(S-A),O=(c-E)/(L-E),z=(u-C)/(i[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,m=h-1-m),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(v=p-1-v,x=p-1-x),r.filled){case 5:T=v,M=x,w=g*p,k=y*p,b=d*p*f,_=m*p*f;break;case 4:T=v,M=x,b=d*p,_=m*p,w=g*p*h,k=y*p*h;break;case 3:w=g,k=y,T=v*f,M=x*f,b=d*f*p,_=m*f*p;break;case 2:w=g,k=y,b=d*f,_=m*f,T=v*f*h,M=x*f*h;break;case 1:b=d,_=m,T=v*h,M=x*h,w=g*h*p,k=y*h*p;break;default:b=d,_=m,w=g*h,k=y*h,T=v*h*f,M=x*h*f}var I=a[b+w+T],D=a[b+w+M],R=a[b+k+T],F=a[b+k+M],B=a[_+w+T],N=a[_+w+M],j=a[_+k+T],V=a[_+k+M],U=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(U,I,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,V,P);var Y=n.create(),W=n.create();n.lerp(Y,U,H,O),n.lerp(W,q,G,O);var X=n.create();return n.lerp(X,Y,W,z),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1e4),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,i,o),n.add(r,r,s),r},v=[],m=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],k=function(t){var e=t[0],r=t[1],n=t[2];return!(e<m||e>b||r<y||r>_||n<x||n>w)},T=10*n.distance(e[0],e[1])/a,M=T*T,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),v=c(n),m=Math.min(d,g,v);return isFinite(m)?m:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],z=d(C),I=C;O.push(z);var D=[],R=g(C,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),v.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*a&&P.length<a&&k(C);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,T/Math.sqrt(j)),n.add(N,N,C),z=d(N),n.squaredDistance(I,N)-M>-1e-4*M){P.push(N),I=N,O.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var V=o(v,t.colormap,S,A);return h?V.tubeScale=h:(0===S&&(S=1),V.tubeScale=.5*u*A/S),V};var u=t("./lib/shaders"),h=t("gl-cone3d").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:"streamtube"})}},{"./lib/shaders":314,"gl-cone3d":245,"gl-vec3":348,"gl-vec4":384}],316:[function(t,e,r){var n=t("gl-shader"),a=t("glslify"),i=a(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 localCoordinate = vec3(uv.zw, f.x);\n worldCoordinate = objectOffset + localCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n vec4 clipPosition = projection * view * worldPosition;\n gl_Position = clipPosition;\n kill = f.y;\n value = f.z;\n planeCoordinate = uv.xy;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Lighting geometry parameters\n vec4 cameraCoordinate = view * worldPosition;\n cameraCoordinate.xyz /= cameraCoordinate.w;\n lightDirection = lightPosition - cameraCoordinate.xyz;\n eyeDirection = eyePosition - cameraCoordinate.xyz;\n surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=a(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n float NdotH = max(x, 0.0001);\n float cos2Alpha = NdotH * NdotH;\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n float roughness2 = roughness * roughness;\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n vec3 lightDirection,\n vec3 viewDirection,\n vec3 surfaceNormal,\n float roughness) {\n return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n if (\n kill > 0.0 ||\n vColor.a == 0.0 ||\n outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\n ) discard;\n\n vec3 N = normalize(surfaceNormal);\n vec3 V = normalize(eyeDirection);\n vec3 L = normalize(lightDirection);\n\n if(gl_FrontFacing) {\n N = -N;\n }\n\n float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n //decide how to interpolate color \u2014 in vertex or in fragment\n vec4 surfaceColor =\n step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n step(.5, vertexColor) * vColor;\n\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\n\n gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=a(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n worldCoordinate = objectOffset + dataCoordinate;\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n vec4 clipPosition = projection * view * worldPosition;\n clipPosition.z += zOffset;\n\n gl_Position = clipPosition;\n value = f + objectOffset.z;\n kill = -1.0;\n planeCoordinate = uv.zw;\n\n vColor = texture2D(colormap, vec2(value, value));\n\n //Don't do lighting for contours\n surfaceNormal = vec3(1,0,0);\n eyeDirection = vec3(0,1,0);\n lightDirection = vec3(0,0,1);\n}\n"]),l=a(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n return ((p > max(a, b)) || \n (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n return (outOfRange(a.x, b.x, p.x) ||\n outOfRange(a.y, b.y, p.y) ||\n outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n float vh = 255.0 * v;\n float upper = floor(vh);\n float lower = fract(vh);\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n if ((kill > 0.0) ||\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"vec3"},{name:"normal",type:"vec3"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":304,glslify:410}],317:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],318:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),m={levels:[[],[],[]]};for(var k in t)m[k]=t[k];return m.colormap=m.colormap||"jet",v.update(m),v};var n=t("bit-twiddle"),a=t("gl-buffer"),i=t("gl-vao"),o=t("gl-texture2d"),s=t("typedarray-pool"),l=t("colormap"),c=t("ndarray-ops"),u=t("ndarray-pack"),h=t("ndarray"),f=t("surface-nets"),p=t("gl-mat4/multiply"),d=t("gl-mat4/invert"),g=t("binary-search-bounds"),v=t("ndarray-gradient"),m=t("./lib/shaders"),y=m.createShader,x=m.createContourShader,b=m.createPickShader,_=m.createPickContourShader,w=40,k=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],M=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=M[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,a,i,o,l,c,u,f,p,d,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.opacityscale=!1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.isTransparent=function(){return this.opacity<1||this.opacityscale},L.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[k.slice(),k.slice(),k.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=P.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var z={model:k,view:k,projection:k,inverseModel:k.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=k.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||k,n.view=t.view||k,n.projection=t.projection||k,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=O(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=M[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=M[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=M[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:k,view:k,projection:k,inverseModel:k,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||k,r.view=t.view||k,r.projection=t.projection||k,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=M[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=M[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,v=h*(f?l:1-l),m=0;m<3;++m)c[m]+=this._field[m].get(p,d)*v;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;m<3;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,"contourWidth"in t&&(this.contourWidth=B(t.contourWidth,Number)),"showContour"in t&&(this.showContour=B(t.showContour,Boolean)),"showSurface"in t&&(this.showSurface=!!t.showSurface),"contourTint"in t&&(this.contourTint=B(t.contourTint,Boolean)),"contourColor"in t&&(this.contourColor=j(t.contourColor)),"contourProject"in t&&(this.contourProject=B(t.contourProject,function(t){return B(t,Boolean)})),"surfaceProject"in t&&(this.surfaceProject=t.surfaceProject),"dynamicColor"in t&&(this.dynamicColor=j(t.dynamicColor)),"dynamicTint"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),"dynamicWidth"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),"opacity"in t&&(this.opacity=t.opacity),"opacityscale"in t&&(this.opacityscale=t.opacityscale),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var m=g[o];if((Array.isArray(m)||m.length)&&(m=h(m)),m.shape[0]!==i[o])throw new Error("gl-surface: invalid tick length");var y=h(m.data,i);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)v(w.pick(o),_[o],"mirror");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),E=w.get(1,o,b,0),L=w.get(1,o,b,1),C=w.get(2,o,b,0),P=w.get(2,o,b,1),O=E*P-L*C,z=C*A-P*M,I=M*L-A*E,D=Math.sqrt(O*O+z*z+I*I);D<1e-8?(D=Math.max(Math.abs(O),Math.abs(z),Math.abs(I)))<1e-8?(I=1,z=O=0,D=1):D=1/D:D=1/Math.sqrt(D),k.set(o,b,0,O*D),k.set(o,b,1,z*D),k.set(o,b,2,I*D)}s.free(w.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,V=-1/0,U=(i[0]-1)*(i[1]-1)*6,q=s.mallocFloat(n.nextPow2(10*U)),H=0,G=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var Y=0;Y<2;++Y)for(var W=0;W<2;++W)for(var X=0;X<3;++X){var Z=this._field[X].get(1+o+Y,1+b+W);if(isNaN(Z)||!isFinite(Z))continue t}for(X=0;X<6;++X){var J=o+T[X][0],K=b+T[X][1],Q=this._field[0].get(J+1,K+1),$=this._field[1].get(J+1,K+1);Z=this._field[2].get(J+1,K+1),O=k.get(J+1,K+1,0),z=k.get(J+1,K+1,1),I=k.get(J+1,K+1,2),t.intensity&&(tt=t.intensity.get(J,K));var tt=t.intensity?t.intensity.get(J,K):Z+this.objectOffset[2];q[H++]=J,q[H++]=K,q[H++]=Q,q[H++]=$,q[H++]=Z,q[H++]=0,q[H++]=tt,q[H++]=O,q[H++]=z,q[H++]=I,R[0]=Math.min(R[0],Q+this.objectOffset[0]),R[1]=Math.min(R[1],$+this.objectOffset[1]),R[2]=Math.min(R[2],Z+this.objectOffset[2]),N=Math.min(N,tt),F[0]=Math.max(F[0],Q+this.objectOffset[0]),F[1]=Math.max(F[1],$+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),V=Math.max(V,tt),G+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],V=+t.intensityBounds[1]),o=6;o<H;o+=10)q[o]=(q[o]-N)/(V-N);this._vertexCount=G,this._coordinateBuffer.update(q.subarray(0,H)),s.freeFloat(q),s.free(k.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===V||(r=!0),this.intensityBounds=[N,V]}if("levels"in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o<3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(b=0;b<et[o].length;++b)et[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<et[o].length;++b)if(et[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,i=this.shape;for(var rt=[],nt=0;nt<3;++nt){var at=this.contourLevels[nt],it=[],ot=[],st=[0,0,0];for(o=0;o<at.length;++o){var lt=f(this._field[nt],at[o]);it.push(rt.length/5|0),G=0;t:for(b=0;b<lt.cells.length;++b){var ct=lt.cells[b];for(X=0;X<2;++X){var ut=lt.positions[ct[X]],ht=ut[0],ft=0|Math.floor(ht),pt=ht-ft,dt=ut[1],gt=0|Math.floor(dt),vt=dt-gt,mt=!1;e:for(var yt=0;yt<3;++yt){st[yt]=0;var xt=(nt+yt+1)%3;for(Y=0;Y<2;++Y){var bt=Y?pt:1-pt;for(J=0|Math.min(Math.max(ft+Y,0),i[0]),W=0;W<2;++W){var _t=W?vt:1-vt;if(K=0|Math.min(Math.max(gt+W,0),i[1]),Z=yt<2?this._field[xt].get(J,K):(this.intensity.get(J,K)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=bt*_t;st[yt]+=wt*Z}}}if(mt){if(X>0){for(var kt=0;kt<5;++kt)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ut[0],ut[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=it,this._contourCounts[nt]=ot}var Tt=s.mallocFloat(rt.length);for(o=0;o<rt.length;++o)Tt[o]=rt[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:S,format:"rgba"}).map(function(t,r){var n=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(r/255,e):1;return[t[0],t[1],t[2],255*n]})]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,v=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var m=g[e],y=0;y<2;++y){var x=v[m[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),k=b-_,T=1-k,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,L=1-E,C=T*L,P=T*E,O=k*L,z=k*E,I=C*h.get(_,A)+P*h.get(_,S)+O*h.get(w,A)+z*h.get(w,S),D=C*p.get(_,A)+P*p.get(_,S)+O*p.get(w,A)+z*p.get(w,S);if(isNaN(I)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=I,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{"./lib/shaders":316,"binary-search-bounds":317,"bit-twiddle":94,colormap:128,"gl-buffer":244,"gl-mat4/invert":268,"gl-mat4/multiply":270,"gl-texture2d":324,"gl-vao":329,ndarray:451,"ndarray-gradient":442,"ndarray-ops":445,"ndarray-pack":446,"surface-nets":529,"typedarray-pool":543}],319:[function(t,e,r){"use strict";var n=t("css-font"),a=t("pick-by-alias"),i=t("regl"),o=t("gl-util/context"),s=t("es6-weak-map"),l=t("color-normalize"),c=t("font-atlas"),u=t("typedarray-pool"),h=t("parse-rect"),f=t("is-plain-obj"),p=t("parse-unit"),d=t("to-px"),g=t("detect-kerning"),v=t("object-assign"),m=t("font-measure"),y=t("flatten-vertex-data"),x=t("bit-twiddle").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement("div"));w.style.font="italic small-caps bold condensed 16px/2 cursive",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var k=function(t){!function(t){return"function"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:"uint8",usage:"stream"}),this.sizeBuffer=this.regl.buffer({type:"float",usage:"stream"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};k.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop("count"),offset:t.prop("offset"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this("sizeBuffer")},width:{offset:0,stride:8,buffer:t.this("sizeBuffer")},char:t.this("charBuffer"),position:t.this("position")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop("color"),opacity:t.prop("opacity"),viewport:t.this("viewportArray"),scale:t.this("scale"),align:t.prop("align"),baseline:t.prop("baseline"),translate:t.this("translate"),positionOffset:t.prop("positionOffset")},primitive:"points",viewport:t.this("viewport"),vert:"\n\t\t\tprecision highp float;\n\t\t\tattribute float width, charOffset, char;\n\t\t\tattribute vec2 position;\n\t\t\tuniform float fontSize, charStep, em, align, baseline;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform vec4 color;\n\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvoid main () {\n\t\t\t\t"+(k.normalViewport?"":"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);")+"\n\n\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n\t\t\t\t\t+ positionOffset))\n\t\t\t\t\t/ (viewport.zw * scale.xy);\n\n\t\t\t\tvec2 position = (position + translate) * scale;\n\t\t\t\tposition += offset * scale;\n\n\t\t\t\t"+(k.normalViewport?"position.y = 1. - position.y;":"")+"\n\n\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n\n\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n\n\t\t\t\tgl_PointSize = charStep;\n\n\t\t\t\tcharId.x = mod(char, atlasDim.x);\n\t\t\t\tcharId.y = floor(char / atlasDim.x);\n\n\t\t\t\tcharWidth = width * em;\n\n\t\t\t\tfontColor = color / 255.;\n\t\t\t}",frag:"\n\t\t\tprecision highp float;\n\t\t\tuniform sampler2D atlas;\n\t\t\tuniform float fontSize, charStep, opacity;\n\t\t\tuniform vec2 atlasSize;\n\t\t\tuniform vec4 viewport;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\n\t\t\tfloat lightness(vec4 color) {\n\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n\t\t\t}\n\n\t\t\tvoid main () {\n\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n\n\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n\t\t\t\tuv.y = charStep - uv.y;\n\n\t\t\t\t// ignore points outside of character bounding box\n\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n\n\t\t\t\tuv += charId * charStep;\n\t\t\t\tuv = uv / atlasSize;\n\n\t\t\t\tvec4 color = fontColor;\n\t\t\t\tvec4 mask = texture2D(atlas, uv);\n\n\t\t\t\tfloat maskY = lightness(mask);\n\t\t\t\t// float colorY = lightness(color);\n\t\t\t\tcolor.a *= maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}"});return{regl:t,draw:e,atlas:{}}},k.prototype.update=function(t){var e=this;if("string"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:"position positions coord coords coordinates",font:"font fontFace fontface typeface cssFont css-font family fontFamily",fontSize:"fontSize fontsize size font-size",text:"text texts chars characters value values symbols",align:"align alignment textAlign textbaseline",baseline:"baseline textBaseline textbaseline",direction:"dir direction textDirection",color:"color colour fill fill-color fillColor textColor textcolor",kerning:"kerning kern",range:"range dataBox",viewport:"vp viewport viewBox viewbox viewPort",opacity:"opacity alpha transparency visible visibility opaque",offset:"offset positionOffset padding shift indent indentation"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(t){return parseFloat(t)}):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),k.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&("number"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=k.baseFontSize+"px sans-serif");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(t,r){if("string"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(k.baseFontSize+"px "+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:k.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=k.fonts[a],e.font[r]))){var c=t.family.join(", "),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:m(c,{origin:"top",fontSize:k.baseFontSize,fontStyle:u.join(" ")})},k.fonts[a]=e.font[r]}}),(i||o)&&this.font.forEach(function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)}),"string"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join("")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach(function(t,n){k.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=k.atlasContext.measureText(o).width/k.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);v(t.kerning,g(t.family,{pairs:s}))}}})}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,T=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)T[A++]=t.position[2*M],T[A++]=t.position[2*M+1];else for(var L=0;L<S;L++)T[A++]=t.position[M][0],T[A++]=t.position[M][1]}this.position.call?this.position({type:"float",data:T}):this.position=this.regl.buffer({type:"float",data:T}),u.freeFloat(T)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,z=0;O<this.counts.length;O++){for(var I=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<I;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(C[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],V=P[2*z],U=P[2*z-1]+.5*j+.5*V;if(this.kerning){var q=D.kerning[N+B];q&&(U+=.001*q)}P[2*z+1]=U}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:"uint8",usage:"stream"}),this.sizeBuffer({data:P,type:"float",usage:"stream"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach(function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(k.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:k.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if("number"==typeof n)return n;switch(n){case"right":case"end":return-t;case"center":case"centre":case"middle":return.5*-t}return 0})),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+="number"==typeof t?t-n.baseline:-n[t],k.normalViewport||(a*=-1),a})),null!=t.color)if(t.color||(t.color="transparent"),"string"!=typeof t.color&&isNaN(t.color)){var H;if("number"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),"uint8"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,"uint8"),4*Z)}this.color=H}else this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},k.prototype.destroy=function(){},k.prototype.kerning=!0,k.prototype.position={constant:new Float32Array(2)},k.prototype.translate=null,k.prototype.scale=null,k.prototype.font=null,k.prototype.text="",k.prototype.positionOffset=[0,0],k.prototype.opacity=1,k.prototype.color=new 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x=n(p,o,y,0);"float32"!==r&&"float64"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):u(x,e),h=p.subarray(0,m)}var b=g(t);t.texImage2D(t.TEXTURE_2D,0,v,o[0],o[1],0,v,c,h),l||i.free(p);return new f(t,b,o[0],o[1],v,c)}(t,e)}throw new Error("gl-texture2d: Invalid arguments for texture2d constructor")};var o=null,s=null,l=null;function c(t){return"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||"undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||"undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||"undefined"!=typeof ImageData&&t instanceof ImageData}var u=function(t,e){a.muls(t,e,255)};function h(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error("gl-texture2d: Invalid texture size");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function 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e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension("OES_texture_float_linear")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error("gl-texture2d: Unknown filter mode "+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension("EXT_texture_filter_anisotropic");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error("gl-texture2d: Must specify wrap mode for rows and columns");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error("gl-texture2d: Unknown wrap mode "+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error("gl-texture2d: Invalid texture shape")}else t=[0|t,0|t];return 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l=c(t)?t:t.raw;if(l){this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l)}else{if(!(t.shape&&t.stride&&t.data))throw new Error("gl-texture2d: Unsupported data type");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error("gl-texture2d: Texture dimensions are out of bounds");!function(t,e,r,o,s,l,c,h){var f=h.dtype,p=h.shape.slice();if(p.length<2||p.length>3)throw new Error("gl-texture2d: Invalid ndarray, must be 2d or 3d");var g=0,v=0,m=d(p,h.stride.slice());"float32"===f?g=t.FLOAT:"float64"===f?(g=t.FLOAT,m=!1,f="float32"):"uint8"===f?g=t.UNSIGNED_BYTE:(g=t.UNSIGNED_BYTE,m=!1,f="uint8");if(2===p.length)v=t.LUMINANCE,p=[p[0],p[1],1],h=n(h.data,p,[h.stride[0],h.stride[1],1],h.offset);else{if(3!==p.length)throw new Error("gl-texture2d: Invalid shape for texture");if(1===p[2])v=t.ALPHA;else 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t.style.position="absolute",t.style.top=0,t.style.left=0,t}e.exports=function(t){var e;if(t?"string"==typeof t&&(t={container:t}):t={},i(t)?t={container:t}:t="string"==typeof(e=t).nodeName&&"function"==typeof e.appendChild&&"function"==typeof e.getBoundingClientRect?{container:t}:function(t){return"function"==typeof t.drawArrays||"function"==typeof t.drawElements}(t)?{gl:t}:n(t,{container:"container target element el canvas holder parent parentNode wrapper use ref root node",gl:"gl context webgl glContext",attrs:"attributes attrs contextAttributes",pixelRatio:"pixelRatio pxRatio px ratio pxratio pixelratio",width:"w width",height:"h height"},!0),t.pixelRatio||(t.pixelRatio=r.pixelRatio||1),t.gl)return t.gl;if(t.canvas&&(t.container=t.canvas.parentNode),t.container){if("string"==typeof t.container){var s=document.querySelector(t.container);if(!s)throw Error("Element "+t.container+" is not 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Use headless-gl.");t.container=document.body||document.documentElement,t.canvas=o(),t.container.appendChild(t.canvas),a(t)}if(!t.gl)try{t.gl=t.canvas.getContext("webgl",t.attrs)}catch(e){try{t.gl=t.canvas.getContext("experimental-webgl",t.attrs)}catch(e){t.gl=t.canvas.getContext("webgl-experimental",t.attrs)}}return t.gl}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"pick-by-alias":466}],326:[function(t,e,r){"use strict";e.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error("gl-vao: Too many vertex attributes");for(var a=0;a<r.length;++a){var i=r[a];if(i.buffer){var o=i.buffer,s=i.size||4,l=i.type||t.FLOAT,c=!!i.normalized,u=i.stride||0,h=i.offset||0;o.bind(),t.enableVertexAttribArray(a),t.vertexAttribPointer(a,s,l,c,u,h)}else{if("number"==typeof i)t.vertexAttrib1f(a,i);else if(1===i.length)t.vertexAttrib1f(a,i[0]);else if(2===i.length)t.vertexAttrib2f(a,i[0],i[1]);else if(3===i.length)t.vertexAttrib3f(a,i[0],i[1],i[2]);else{if(4!==i.length)throw new Error("gl-vao: Invalid vertex attribute");t.vertexAttrib4f(a,i[0],i[1],i[2],i[3])}t.disableVertexAttribArray(a)}}for(;a<n;++a)t.disableVertexAttribArray(a)}else for(t.bindBuffer(t.ARRAY_BUFFER,null),a=0;a<n;++a)t.disableVertexAttribArray(a)}},{}],327:[function(t,e,r){"use strict";var n=t("./do-bind.js");function a(t){this.gl=t,this._elements=null,this._attributes=null,this._elementsType=t.UNSIGNED_SHORT}a.prototype.bind=function(){n(this.gl,this._elements,this._attributes)},a.prototype.update=function(t,e,r){this._elements=e,this._attributes=t,this._elementsType=r||this.gl.UNSIGNED_SHORT},a.prototype.dispose=function(){},a.prototype.unbind=function(){},a.prototype.draw=function(t,e,r){r=r||0;var n=this.gl;this._elements?n.drawElements(t,e,this._elementsType,r):n.drawArrays(t,r,e)},e.exports=function(t){return 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this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Tr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)};var Mr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent="camera"!==t&&!fe(e.expression),this.interpolationType=n};function Ar(t,e){if("error"===(t=kr(t,e)).result)return t;var r=t.value.expression,n=he(r);if(!n&&!ur(e))return cr([new Pt("","data expressions not supported")]);var a=pe(r,["zoom"]);if(!a&&!hr(e))return cr([new Pt("","zoom expressions not supported")]);var i=function t(e){var r=null;if(e instanceof Ue)r=t(e.result);else if(e instanceof Ve)for(var n=0,a=e.args;n<a.length;n+=1){var i=a[n];if(r=t(i))break}else(e instanceof me||e instanceof Ne)&&e.input instanceof ce&&"zoom"===e.input.name&&(r=e);return r instanceof Pt?r:(e.eachChild(function(e){var n=t(e);n instanceof Pt?r=n:!r&&n?r=new Pt("",'"zoom" expression may only be used as input to a top-level "step" or "interpolate" 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Sr=function(t,e){this._parameters=t,this._specification=e,St(this,function t(e,r){var n,a,i,o="color"===r.type,s=e.stops&&"object"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(fr(r)?"exponential":"interval");if(o&&((e=St({},e)).stops&&(e.stops=e.stops.map(function(t){return[t[0],Wt.parse(t[1])]})),e.default?e.default=Wt.parse(e.default):e.default=Wt.parse(r.default)),e.colorSpace&&"rgb"!==e.colorSpace&&!Be[e.colorSpace])throw new Error("Unknown color space: "+e.colorSpace);if("exponential"===u)n=xr;else if("interval"===u)n=yr;else if("categorical"===u){n=mr,a=Object.create(null);for(var h=0,f=e.stops;h<f.length;h+=1){var p=f[h];a[p[0]]=p[1]}i=typeof e.stops[0][0]}else{if("identity"!==u)throw new Error('Unknown function type "'+u+'"');n=br}if(s){for(var d={},g=[],v=0;v<e.stops.length;v++){var m=e.stops[v],y=m[0].zoom;void 0===d[y]&&(d[y]={zoom:y,type:e.type,property:e.property,default:e.default,stops:[]},g.push(y)),d[y].stops.push([m[0].value,m[1]])}for(var x=[],b=0,_=g;b<_.length;b+=1){var w=_[b];x.push([d[w].zoom,t(d[w],r)])}var k={name:"linear"};return{kind:"composite",interpolationType:k,interpolationFactor:Ne.interpolationFactor.bind(void 0,k),zoomStops:x.map(function(t){return t[0]}),evaluate:function(t,n){var a=t.zoom;return xr({stops:x,base:e.base},r,a).evaluate(a,n)}}}if(c){var T="exponential"===u?{name:"exponential",base:void 0!==e.base?e.base:1}:null;return{kind:"camera",interpolationType:T,interpolationFactor:Ne.interpolationFactor.bind(void 0,T),zoomStops:e.stops.map(function(t){return t[0]}),evaluate:function(t){var o=t.zoom;return n(e,r,o,a,i)}}}return{kind:"source",evaluate:function(t,o){var s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?vr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Er(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=pr(r);if("object"!==l)return[new Mt(e,r,"object expected, "+l+" 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s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),"object"===pr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+"["+c+"]"}));return l}function Cr(t){var e=t.key,r=t.value,n=t.valueSpec,a=pr(r);return"number"!==a?[new Mt(e,r,"number expected, "+a+" found")]:"minimum"in n&&r<n.minimum?[new Mt(e,r,r+" is less than the minimum value "+n.minimum)]:"maximum"in n&&r>n.maximum?[new Mt(e,r,r+" is greater than the maximum value "+n.maximum)]:[]}function Pr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s="categorical"!==i&&void 0===t.value.property,l=!s,c="array"===pr(t.value.stops)&&"array"===pr(t.value.stops[0])&&"object"===pr(t.value.stops[0][0]),u=Er({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if("identity"===i)return[new Mt(t.key,t.value,'identity function may not have a "stops" property')];var e=[],r=t.value;return e=e.concat(Lr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),"array"===pr(r)&&0===r.length&&e.push(new Mt(t.key,r,"array must have at least one stop")),e},default:function(t){return Qr({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return"identity"===i&&s&&u.push(new Mt(t.key,t.value,'missing required property "property"')),"identity"===i||t.value.stops||u.push(new Mt(t.key,t.value,'missing required property "stops"')),"exponential"===i&&t.valueSpec.expression&&!fr(t.valueSpec)&&u.push(new Mt(t.key,t.value,"exponential functions not supported")),t.styleSpec.$version>=8&&(l&&!ur(t.valueSpec)?u.push(new Mt(t.key,t.value,"property functions not supported")):s&&!hr(t.valueSpec)&&u.push(new Mt(t.key,t.value,"zoom functions not supported"))),"categorical"!==i&&!c||void 0!==t.value.property||u.push(new Mt(t.key,t.value,'"property" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if("array"!==pr(i))return[new Mt(s,i,"array expected, "+pr(i)+" found")];if(2!==i.length)return[new Mt(s,i,"array length 2 expected, length "+i.length+" found")];if(c){if("object"!==pr(i[0]))return[new Mt(s,i,"object expected, "+pr(i[0])+" found")];if(void 0===i[0].zoom)return[new Mt(s,i,"object stop key must have zoom")];if(void 0===i[0].value)return[new Mt(s,i,"object stop key must have value")];if(n&&n>Lt(i[0].zoom))return[new Mt(s,i[0].zoom,"stop zoom values must appear in ascending order")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Er({key:s+"[0]",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Cr,value:f}}))}else e=e.concat(f({key:s+"[0]",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return wr(Ct(i[1]))?e.concat([new Mt(s+"[1]",i[1],"expressions are not allowed in function stops.")]):e.concat(Qr({key:s+"[1]",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=pr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Mt(t.key,c,s+" stop domain type must match previous stop domain type "+e)]}else e=s;if("number"!==s&&"string"!==s&&"boolean"!==s)return[new Mt(t.key,c,"stop domain value must be a number, string, or boolean")];if("number"!==s&&"categorical"!==i){var u="number expected, "+s+" found";return ur(a)&&void 0===i&&(u+='\nIf you intended to use a categorical function, specify `"type": "categorical"`.'),[new Mt(t.key,c,u)]}return"categorical"!==i||"number"!==s||isFinite(l)&&Math.floor(l)===l?"categorical"!==i&&"number"===s&&void 0!==r&&l<r?[new Mt(t.key,c,"stop domain values must appear in ascending order")]:(r=l,"categorical"===i&&l in o?[new Mt(t.key,c,"stop domain values must be unique")]:(o[l]=!0,[])):[new Mt(t.key,c,"integer expected, found "+l)]}}function Or(t){var e=("property"===t.expressionContext?Ar:kr)(Ct(t.value),t.valueSpec);if("error"===e.result)return e.value.map(function(e){return new Mt(""+t.key+e.key,t.value,e.message)});var r=e.value.expression||e.value._styleExpression.expression;if("property"===t.expressionContext&&"text-font"===t.propertyKey&&-1!==r.possibleOutputs().indexOf(void 0))return[new Mt(t.key,t.value,'Invalid data expression for "'+t.propertyKey+'". Output values must be contained as literals within the expression.')];if("property"===t.expressionContext&&"layout"===t.propertyType&&!fe(r))return[new Mt(t.key,t.value,'"feature-state" data expressions are not supported with layout properties.')];if("filter"===t.expressionContext&&!fe(r))return[new Mt(t.key,t.value,'"feature-state" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf("cluster")){if(!pe(r,["zoom","feature-state"]))return[new Mt(t.key,t.value,'"zoom" and "feature-state" expressions are not supported with cluster properties.')];if("cluster-initial"===t.expressionContext&&!he(r))return[new Mt(t.key,t.value,"Feature data expressions are not supported with initial expression part of cluster properties.")]}return[]}function zr(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new Mt(e,r,"expected one of ["+n.values.join(", ")+"], "+JSON.stringify(r)+" 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e=kr(t,Dr);if("error"===e.result)throw new Error(e.value.map(function(t){return t.key+": "+t.message}).join(", "));return function(t,r){return e.value.evaluate(t,r)}}function Fr(t,e){return t<e?-1:t>e?1:0}function Br(t){if(!t)return!0;var e,r=t[0];return t.length<=1?"any"!==r:"=="===r?Nr(t[1],t[2],"=="):"!="===r?Ur(Nr(t[1],t[2],"==")):"<"===r||">"===r||"<="===r||">="===r?Nr(t[1],t[2],r):"any"===r?(e=t.slice(1),["any"].concat(e.map(Br))):"all"===r?["all"].concat(t.slice(1).map(Br)):"none"===r?["all"].concat(t.slice(1).map(Br).map(Ur)):"in"===r?jr(t[1],t.slice(2)):"!in"===r?Ur(jr(t[1],t.slice(2))):"has"===r?Vr(t[1]):"!has"!==r||Ur(Vr(t[1]))}function Nr(t,e,r){switch(t){case"$type":return["filter-type-"+r,e];case"$id":return["filter-id-"+r,e];default:return["filter-"+r,t,e]}}function jr(t,e){if(0===e.length)return!1;switch(t){case"$type":return["filter-type-in",["literal",e]];case"$id":return["filter-id-in",["literal",e]];default:return e.length>200&&!e.some(function(t){return typeof 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Mt(n+"[1]",r[1],"string expected, "+a+" found"));for(var s=2;s<r.length;s++)a=pr(r[s]),"$type"===Lt(r[1])?o=o.concat(zr({key:n+"["+s+"]",value:r[s],valueSpec:i.geometry_type,style:e.style,styleSpec:e.styleSpec})):"string"!==a&&"number"!==a&&"boolean"!==a&&o.push(new Mt(n+"["+s+"]",r[s],"string, number, or boolean expected, "+a+" found"));break;case"any":case"all":case"none":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+"["+l+"]",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case"has":case"!has":a=pr(r[1]),2!==r.length?o.push(new Mt(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"string"!==a&&o.push(new Mt(n+"[1]",r[1],"string expected, "+a+" found"))}return o}(t)}function Hr(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return Qr({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new Mt(r,i,'unknown property "'+o+'"')];if("string"===pr(i)&&ur(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new Mt(r,i,'"'+o+'" does not support interpolation syntax\nUse an identity property function instead: `{ "type": "identity", "property": '+JSON.stringify(c[1])+" }`.")];var h=[];return"symbol"===t.layerType&&("text-field"===o&&n&&!n.glyphs&&h.push(new Mt(r,i,'use of "text-field" requires a style "glyphs" property')),"text-font"===o&&dr(Ct(i))&&"identity"===Lt(i.type)&&h.push(new Mt(r,i,'"text-font" does not support identity functions'))),h.concat(Qr({key:t.key,value:i,valueSpec:u,style:n,styleSpec:a,expressionContext:"property",propertyType:e,propertyKey:o}))}function Gr(t){return Hr(t,"paint")}function Yr(t){return Hr(t,"layout")}function Wr(t){var e=[],r=t.value,n=t.key,a=t.style,i=t.styleSpec;r.type||r.ref||e.push(new Mt(n,r,'either "type" or "ref" is required'));var o,s=Lt(r.type),l=Lt(r.ref);if(r.id)for(var c=Lt(r.id),u=0;u<t.arrayIndex;u++){var h=a.layers[u];Lt(h.id)===c&&e.push(new Mt(n,r.id,'duplicate layer id "'+r.id+'", previously used at line '+h.id.__line__))}if("ref"in r)["type","source","source-layer","filter","layout"].forEach(function(t){t in r&&e.push(new Mt(n,r[t],'"'+t+'" is prohibited for ref layers'))}),a.layers.forEach(function(t){Lt(t.id)===l&&(o=t)}),o?o.ref?e.push(new Mt(n,r.ref,"ref cannot reference another ref layer")):s=Lt(o.type):e.push(new Mt(n,r.ref,'ref layer "'+l+'" not found'));else if("background"!==s)if(r.source){var f=a.sources&&a.sources[r.source],p=f&&Lt(f.type);f?"vector"===p&&"raster"===s?e.push(new Mt(n,r.source,'layer "'+r.id+'" requires a raster source')):"raster"===p&&"raster"!==s?e.push(new Mt(n,r.source,'layer "'+r.id+'" requires a vector source')):"vector"!==p||r["source-layer"]?"raster-dem"===p&&"hillshade"!==s?e.push(new Mt(n,r.source,"raster-dem source can only be used with layer type 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Er({key:r,value:e,valueSpec:n.source_image,style:a,styleSpec:n});case"canvas":return[new Mt(r,null,"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.","source.canvas")];default:return zr({key:r+".type",value:e.type,valueSpec:{values:["vector","raster","raster-dem","geojson","video","image"]},style:a,styleSpec:n})}}function Zr(t){var e=t.value,r=t.styleSpec,n=r.light,a=t.style,i=[],o=pr(e);if(void 0===e)return i;if("object"!==o)return i.concat([new Mt("light",e,"object expected, "+o+" found")]);for(var s in e){var l=s.match(/^(.*)-transition$/);i=l&&n[l[1]]&&n[l[1]].transition?i.concat(Qr({key:s,value:e[s],valueSpec:r.transition,style:a,styleSpec:r})):n[s]?i.concat(Qr({key:s,value:e[s],valueSpec:n[s],style:a,styleSpec:r})):i.concat([new Mt(s,e[s],'unknown property "'+s+'"')])}return i}function Jr(t){var e=t.value,r=t.key,n=pr(e);return"string"!==n?[new Mt(r,e,"string expected, "+n+" found")]:[]}var 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kn(t){return!(wn(t)||function(t){return!!(xn["Latin-1 Supplement"](t)&&(167===t||169===t||174===t||177===t||188===t||189===t||190===t||215===t||247===t)||xn["General Punctuation"](t)&&(8214===t||8224===t||8225===t||8240===t||8241===t||8251===t||8252===t||8258===t||8263===t||8264===t||8265===t||8273===t)||xn["Letterlike Symbols"](t)||xn["Number Forms"](t)||xn["Miscellaneous Technical"](t)&&(t>=8960&&t<=8967||t>=8972&&t<=8991||t>=8996&&t<=9e3||9003===t||t>=9085&&t<=9114||t>=9150&&t<=9165||9167===t||t>=9169&&t<=9179||t>=9186&&t<=9215)||xn["Control Pictures"](t)&&9251!==t||xn["Optical Character Recognition"](t)||xn["Enclosed Alphanumerics"](t)||xn["Geometric Shapes"](t)||xn["Miscellaneous Symbols"](t)&&!(t>=9754&&t<=9759)||xn["Miscellaneous Symbols and Arrows"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||xn["CJK Symbols and Punctuation"](t)||xn.Katakana(t)||xn["Private Use Area"](t)||xn["CJK Compatibility Forms"](t)||xn["Small Form Variants"](t)||xn["Halfwidth and Fullwidth Forms"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function Tn(t,e){return!(!e&&(t>=1424&&t<=2303||xn["Arabic Presentation Forms-A"](t)||xn["Arabic Presentation Forms-B"](t))||t>=2304&&t<=3583||t>=3840&&t<=4255||xn.Khmer(t))}var Mn,An=!1,Sn=null,En=!1,Ln=new kt,Cn={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return En||null!=Cn.applyArabicShaping}},Pn=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new yn,this.transition={})};Pn.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!Tn(n[r].charCodeAt(0),e))return!1;return!0}(t,Cn.isLoaded())},Pn.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},Pn.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var On=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(dr(t))return new Sr(t,e);if(wr(t)){var r=Ar(t,e);if("error"===r.result)throw new Error(r.value.map(function(t){return t.key+": "+t.message}).join(", "));return r.value}var n=t;return"string"==typeof t&&"color"===e.type&&(n=Wt.parse(t)),{kind:"constant",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};On.prototype.isDataDriven=function(){return"source"===this.expression.kind||"composite"===this.expression.kind},On.prototype.possiblyEvaluate=function(t){return this.property.possiblyEvaluate(this,t)};var zn=function(t){this.property=t,this.value=new On(t,void 0)};zn.prototype.transitioned=function(t,e){return new Dn(this.property,this.value,e,h({},t.transition,this.transition),t.now)},zn.prototype.untransitioned=function(){return new Dn(this.property,this.value,null,{},0)};var In=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};In.prototype.getValue=function(t){return b(this._values[t].value.value)},In.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new zn(this._values[t].property)),this._values[t].value=new On(this._values[t].property,null===e?void 0:b(e))},In.prototype.getTransition=function(t){return b(this._values[t].transition)},In.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new zn(this._values[t].property)),this._values[t].transition=b(e)||void 0},In.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],a=this.getValue(n);void 0!==a&&(t[n]=a);var 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this.property.interpolate(n.possiblyEvaluate(t),r,function(t){if(a<=0)return 0;if(a>=1)return 1;var e=a*a,r=e*a;return 4*(a<.5?r:3*(a-e)+r-.75)}())}return r};var Rn=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Rn.prototype.possiblyEvaluate=function(t){for(var e=new Nn(this._properties),r=0,n=Object.keys(this._values);r<n.length;r+=1){var a=n[r];e._values[a]=this._values[a].possiblyEvaluate(t)}return e},Rn.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var Fn=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Fn.prototype.getValue=function(t){return b(this._values[t].value)},Fn.prototype.setValue=function(t,e){this._values[t]=new On(this._values[t].property,null===e?void 0:b(e))},Fn.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var 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Vn=function(t,e){this.specification=t,this.overrides=e};Vn.prototype.possiblyEvaluate=function(t,e){return"constant"===t.expression.kind||"camera"===t.expression.kind?new Bn(this,{kind:"constant",value:t.expression.evaluate(e)},e):new Bn(this,t.expression,e)},Vn.prototype.interpolate=function(t,e,r){if("constant"!==t.value.kind||"constant"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Bn(this,{kind:"constant",value:void 0},t.parameters);var n=xe[this.specification.type];return n?new Bn(this,{kind:"constant",value:n(t.value.value,e.value.value,r)},t.parameters):t},Vn.prototype.evaluate=function(t,e,r,n){return"constant"===t.kind?t.value:t.evaluate(e,r,n)};var Un=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e){if(void 0===t.value)return new Bn(this,{kind:"constant",value:void 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Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,a,i,o,s,l,c,u)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=12*t,p=6*t;return this.int16[f+0]=e,this.int16[f+1]=r,this.int16[f+2]=n,this.int16[f+3]=a,this.int16[f+4]=i,this.int16[f+5]=o,this.uint32[p+3]=s,this.uint16[f+8]=l,this.uint16[f+9]=c,this.int16[f+10]=u,this.int16[f+11]=h,t},e}(Zn);oa.prototype.bytesPerElement=24,dn("StructArrayLayout6i1ul2ui2i24",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(Zn);sa.prototype.bytesPerElement=12,dn("StructArrayLayout2i2i2i12",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=12*t,o=3*t;return this.uint8[i+0]=e,this.uint8[i+1]=r,this.float32[o+1]=n,this.float32[o+2]=a,t},e}(Zn);la.prototype.bytesPerElement=12,dn("StructArrayLayout2ub2f12",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v){var m=22*t,y=11*t,x=44*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=a,this.uint32[y+2]=i,this.uint32[y+3]=o,this.uint32[y+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=c,this.uint16[m+12]=u,this.float32[y+7]=h,this.float32[y+8]=f,this.uint8[x+36]=p,this.uint8[x+37]=d,this.uint8[x+38]=g,this.uint32[y+10]=v,t},e}(Zn);ca.prototype.bytesPerElement=44,dn("StructArrayLayout2i2ui3ul3ui2f3ub1ul44",ca);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x){var b=this.length;return this.resize(b+1),this.emplace(b,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b){var _=24*t,w=12*t;return this.int16[_+0]=e,this.int16[_+1]=r,this.int16[_+2]=n,this.int16[_+3]=a,this.int16[_+4]=i,this.int16[_+5]=o,this.uint16[_+6]=s,this.uint16[_+7]=l,this.uint16[_+8]=c,this.uint16[_+9]=u,this.uint16[_+10]=h,this.uint16[_+11]=f,this.uint16[_+12]=p,this.uint16[_+13]=d,this.uint16[_+14]=g,this.uint16[_+15]=v,this.uint16[_+16]=m,this.uint32[w+9]=y,this.float32[w+10]=x,this.float32[w+11]=b,t},e}(Zn);ua.prototype.bytesPerElement=48,dn("StructArrayLayout6i11ui1ul2f48",ua);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Zn);ha.prototype.bytesPerElement=4,dn("StructArrayLayout1f4",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(Zn);fa.prototype.bytesPerElement=6,dn("StructArrayLayout3i6",fa);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=2*t,i=4*t;return this.uint32[a+0]=e,this.uint16[i+2]=r,this.uint16[i+3]=n,t},e}(Zn);pa.prototype.bytesPerElement=8,dn("StructArrayLayout1ul2ui8",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.uint16[a+0]=e,this.uint16[a+1]=r,this.uint16[a+2]=n,t},e}(Zn);da.prototype.bytesPerElement=6,dn("StructArrayLayout3ui6",da);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Zn);ga.prototype.bytesPerElement=4,dn("StructArrayLayout2ui4",ga);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Zn);va.prototype.bytesPerElement=2,dn("StructArrayLayout1ui2",va);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Zn);ma.prototype.bytesPerElement=8,dn("StructArrayLayout2f8",ma);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(Zn);ya.prototype.bytesPerElement=16,dn("StructArrayLayout4f16",ya);var xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},radius:{configurable:!0},signedDistanceFromAnchor:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorPointY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.x1.set=function(t){this._structArray.int16[this._pos2+2]=t},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.y1.set=function(t){this._structArray.int16[this._pos2+3]=t},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.x2.set=function(t){this._structArray.int16[this._pos2+4]=t},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.y2.set=function(t){this._structArray.int16[this._pos2+5]=t},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.radius.get=function(){return this._structArray.int16[this._pos2+10]},r.radius.set=function(t){this._structArray.int16[this._pos2+10]=t},r.signedDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+11]},r.signedDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+11]=t},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Xn);xa.prototype.size=24;var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new xa(this,t)},e}(oa);dn("CollisionBoxArray",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.glyphStartIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.numGlyphs.set=function(t){this._structArray.uint16[this._pos2+3]=t},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.vertexStartIndex.set=function(t){this._structArray.uint32[this._pos4+2]=t},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineStartIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.lineLength.set=function(t){this._structArray.uint32[this._pos4+4]=t},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.segment.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.lowerSize.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.upperSize.set=function(t){this._structArray.uint16[this._pos2+12]=t},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetX.set=function(t){this._structArray.float32[this._pos4+7]=t},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.lineOffsetY.set=function(t){this._structArray.float32[this._pos4+8]=t},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.writingMode.set=function(t){this._structArray.uint8[this._pos1+36]=t},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},Object.defineProperties(e.prototype,r),e}(Xn);_a.prototype.size=44;var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new _a(this,t)},e}(ca);dn("PlacedSymbolArray",wa);var ka=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},radialTextOffset:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.rightJustifiedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+2]=t},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.centerJustifiedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+3]=t},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.leftJustifiedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+4]=t},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.verticalPlacedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+5]=t},r.key.get=function(){return this._structArray.uint16[this._pos2+6]},r.key.set=function(t){this._structArray.uint16[this._pos2+6]=t},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+7]},r.textBoxStartIndex.set=function(t){this._structArray.uint16[this._pos2+7]=t},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxEndIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.verticalTextBoxStartIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxEndIndex.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.iconBoxStartIndex.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxEndIndex.set=function(t){this._structArray.uint16[this._pos2+12]=t},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.featureIndex.set=function(t){this._structArray.uint16[this._pos2+13]=t},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+14]},r.numHorizontalGlyphVertices.set=function(t){this._structArray.uint16[this._pos2+14]=t},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+15]},r.numVerticalGlyphVertices.set=function(t){this._structArray.uint16[this._pos2+15]=t},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+16]},r.numIconVertices.set=function(t){this._structArray.uint16[this._pos2+16]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+9]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+9]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+10]},r.textBoxScale.set=function(t){this._structArray.float32[this._pos4+10]=t},r.radialTextOffset.get=function(){return this._structArray.float32[this._pos4+11]},r.radialTextOffset.set=function(t){this._structArray.float32[this._pos4+11]=t},Object.defineProperties(e.prototype,r),e}(Xn);ka.prototype.size=48;var Ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ka(this,t)},e}(ua);dn("SymbolInstanceArray",Ta);var Ma=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={offsetX:{configurable:!0}};return r.offsetX.get=function(){return this._structArray.float32[this._pos4+0]},r.offsetX.set=function(t){this._structArray.float32[this._pos4+0]=t},Object.defineProperties(e.prototype,r),e}(Xn);Ma.prototype.size=4;var 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l=t;l<e;l++)a.emplace(l,i);this.maxValue=Math.max(this.maxValue,i)}},Xa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Xa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Xa.prototype.setUniforms=function(t,e){e.set(0)},Xa.prototype.getBinding=function(t,e){return new Ba(t,e)};var Za=function(t,e,r,n,a,i){this.expression=t,this.names=e,this.uniformNames=this.names.map(function(t){return"u_"+t+"_t"}),this.type=r,this.useIntegerZoom=n,this.zoom=a,this.maxValue=-1/0;var o=i;this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}}),this.paintVertexArray=new 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Ja=function(t,e,r,n,a,i,o){this.expression=t,this.names=e,this.type=r,this.uniformNames=this.names.map(function(t){return"u_"+t+"_t"}),this.useIntegerZoom=n,this.zoom=a,this.maxValue=-1/0,this.layerId=o,this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Uint16",components:4,offset:0}}),this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};Ja.prototype.defines=function(){return[]},Ja.prototype.setConstantPatternPositions=function(){},Ja.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray,a=this.zoomOutPaintVertexArray,i=this.layerId,o=n.length;if(n.reserve(t),a.reserve(t),r&&e.patterns&&e.patterns[i]){var s=e.patterns[i],l=s.min,c=s.mid,u=s.max,h=r[l],f=r[c],p=r[u];if(!h||!f||!p)return;for(var d=o;d<t;d++)n.emplaceBack(f.tl[0],f.tl[1],f.br[0],f.br[1],h.tl[0],h.tl[1],h.br[0],h.br[1]),a.emplaceBack(f.tl[0],f.tl[1],f.br[0],f.br[1],p.tl[0],p.tl[1],p.br[0],p.br[1])}},Ja.prototype.updatePaintArray=function(t,e,r,n,a){var i=this.zoomInPaintVertexArray,o=this.zoomOutPaintVertexArray,s=this.layerId;if(a&&r.patterns&&r.patterns[s]){var l=r.patterns[s],c=l.min,u=l.mid,h=l.max,f=a[c],p=a[u],d=a[h];if(!f||!p||!d)return;for(var g=t;g<e;g++)i.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],f.tl[0],f.tl[1],f.br[0],f.br[1]),o.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],d.tl[0],d.tl[1],d.br[0],d.br[1])}},Ja.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ja.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()},Ja.prototype.setUniforms=function(t,e){e.set(0)},Ja.prototype.getBinding=function(t,e){return new Ba(t,e)};var Ka=function(){this.binders={},this.cacheKey="",this._buffers=[],this._featureMap=new 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this.binders)this.binders[i].populatePaintArray(t,e,n,a);void 0!==e.id&&this._featureMap.add(+e.id,r,this._bufferOffset,t),this._bufferOffset=t},Ka.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders)this.binders[r].setConstantPatternPositions(t,e)},Ka.prototype.updatePaintArrays=function(t,e,r,n){var a=!1;for(var i in t)for(var o=0,s=this._featureMap.getPositions(+i);o<s.length;o+=1){var l=s[o],c=e.feature(l.index);for(var u in this.binders){var h=this.binders[u];if(!(h instanceof Ya||h instanceof Wa)&&!0===h.expression.isStateDependent){var f=r.paint.get(u);h.expression=f.value,h.updatePaintArray(l.start,l.end,c,t[i],n),a=!0}}}return a},Ka.prototype.defines=function(){var t=[];for(var e in this.binders)t.push.apply(t,this.binders[e].defines());return t},Ka.prototype.getPaintVertexBuffers=function(){return this._buffers},Ka.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders)for(var 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Qa=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=Ka.createDynamic(o,r,n),this.programConfigurations[o.id].layoutAttributes=t}this.needsUpload=!1};function $a(t,e){return{"text-opacity":["opacity"],"icon-opacity":["opacity"],"text-color":["fill_color"],"icon-color":["fill_color"],"text-halo-color":["halo_color"],"icon-halo-color":["halo_color"],"text-halo-blur":["halo_blur"],"icon-halo-blur":["halo_blur"],"text-halo-width":["halo_width"],"icon-halo-width":["halo_width"],"line-gap-width":["gapwidth"],"line-pattern":["pattern_to","pattern_from"],"fill-pattern":["pattern_to","pattern_from"],"fill-extrusion-pattern":["pattern_to","pattern_from"]}[t]||[t.replace(e+"-","").replace(/-/g,"_")]}function ti(t,e,r){var n={color:{source:ma,composite:ya},number:{source:ha,composite:ma}},a=function(t){return{"line-pattern":{source:ra,composite:ra},"fill-pattern":{source:ra,composite:ra},"fill-extrusion-pattern":{source:ra,composite:ra}}[t]}(t);return a&&a[r]||n[e][r]}Qa.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.programConfigurations)this.programConfigurations[i].populatePaintArrays(t,e,r,n,a);this.needsUpload=!0},Qa.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,e,o,n)||this.needsUpload}},Qa.prototype.get=function(t){return this.programConfigurations[t]},Qa.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Qa.prototype.destroy=function(){for(var t in 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c=t.readVarint();n=7&c,i=c>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error("unknown command "+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},So.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,a=0,i=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(a+=t.readSVarint())<o&&(o=a),a>s&&(s=a),(i+=t.readSVarint())<l&&(l=i),i>c&&(c=i);else if(7!==r)throw new Error("unknown command "+r)}return[o,l,s,c]},So.prototype.toGeoJSON=function(t,e,r){var n,a,i=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=So.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/i;t[e]=[360*(r.x+o)/i-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=Lo(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c="Multi"+c;var f={type:"Feature",geometry:{type:c,coordinates:l},properties:this.properties};return"id"in this&&(f.id=this.id),f};var Co=Po;function Po(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Oo,this,e),this.length=this._features.length}function Oo(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function zo(t,e,r){if(3===t){var n=new Co(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Po.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error("feature index out of bounds");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ao(this._pbf,e,this.extent,this._keys,this._values)};var Io={VectorTile:function(t,e){this.layers=t.readFields(zo,{},e)},VectorTileFeature:Ao,VectorTileLayer:Co},Do=Io.VectorTileFeature.types,Ro=Math.pow(2,13);function Fo(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ro)+o,a*Ro*2,i*Ro*2,Math.round(s))}var Bo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ta,this.indexArray=new da,this.programConfigurations=new Qa(Mo,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function No(t,e){return t.x===e.x&&(t.x<0||t.x>ei)||t.y===e.y&&(t.y<0||t.y>ei)}function jo(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>ei})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>ei})}Bo.prototype.populate=function(t,e){this.features=[],this.hasPattern=xo("fill-extrusion",this.layers,e);for(var r=0,n=t;r<n.length;r+=1){var a=n[r],i=a.feature,o=a.index,s=a.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),i)){var l=ni(i),c={sourceLayerIndex:s,index:o,geometry:l,properties:i.properties,type:i.type,patterns:{}};void 0!==i.id&&(c.id=i.id),this.hasPattern?this.features.push(bo("fill-extrusion",this.layers,c,this.zoom,e)):this.addFeature(c,l,o,{}),e.featureIndex.insert(i,l,o,s,this.index,!0)}}},Bo.prototype.addFeatures=function(t,e){for(var r=0,n=this.features;r<n.length;r+=1){var a=n[r],i=a.geometry;this.addFeature(a,i,a.index,e)}},Bo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Bo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Bo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Bo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Mo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Bo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Bo.prototype.addFeature=function(t,e,r,n){for(var a=0,i=mo(e,500);a<i.length;a+=1){for(var o=i[a],s=0,l=0,c=o;l<c.length;l+=1)s+=c[l].length;for(var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,f=o;h<f.length;h+=1){var p=f[h];if(0!==p.length&&!jo(p))for(var d=0,g=0;g<p.length;g++){var v=p[g];if(g>=1){var m=p[g-1];if(!No(v,m)){u.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var y=v.sub(m)._perp()._unit(),x=m.dist(v);d+x>32768&&(d=0),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,1,d),d+=x,Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,1,d);var b=u.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),u.vertexLength+=4,u.primitiveLength+=2}}}}if(u.vertexLength+s>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(s,this.layoutVertexArray,this.indexArray)),"Polygon"===Do[t.type]){for(var _=[],w=[],k=u.vertexLength,T=0,M=o;T<M.length;T+=1){var A=M[T];if(0!==A.length){A!==o[0]&&w.push(_.length/2);for(var S=0;S<A.length;S++){var E=A[S];Fo(this.layoutVertexArray,E.x,E.y,0,0,1,1,0),_.push(E.x),_.push(E.y)}}}for(var L=Ni(_,w),C=0;C<L.length;C+=3)this.indexArray.emplaceBack(k+L[C],k+L[C+2],k+L[C+1]);u.primitiveLength+=L.length/3,u.vertexLength+=s}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,n)},dn("FillExtrusionBucket",Bo,{omit:["layers","features"]});var Vo={paint:new Gn({"fill-extrusion-opacity":new jn(Tt["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Vn(Tt["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new jn(Tt["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new jn(Tt["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new Un(Tt["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Vn(Tt["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Vn(Tt["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new jn(Tt["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},Uo=function(t){function e(e){t.call(this,e,Vo)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Bo(t)},e.prototype.queryRadius=function(){return yi(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=xi(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),u=this.paint.get("fill-extrusion-height").evaluate(e,r),h=this.paint.get("fill-extrusion-base").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];Ti(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,v=t;g<v.length;g+=1){for(var m=[],y=[],x=0,b=v[g];x<b.length;x+=1){var _=b[x],w=_.x,k=_.y,T=n[0]*w+n[4]*k+n[12],M=n[1]*w+n[5]*k+n[13],A=n[2]*w+n[6]*k+n[14],S=n[3]*w+n[7]*k+n[15],E=A+c,L=S+u,C=T+h,P=M+f,O=A+p,z=S+d,I=new a((T+s)/L,(M+l)/L);I.z=E/L,m.push(I);var D=new a(C/z,P/z);D.z=O/z,y.push(D)}i.push(m),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;li(r,e)&&(n=Ho(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=i[s+1],u=o[s],h=[l,c,o[s+1],u,l];oi(r,h)&&(n=Math.min(n,Ho(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}(Yn);function qo(t,e){return t.x*e.x+t.y*e.y}function Ho(t,e){if(1===t.length){var r=e[0],n=e[1],a=e[3],i=t[0],o=n.sub(r),s=a.sub(r),l=i.sub(r),c=qo(o,o),u=qo(o,s),h=qo(s,s),f=qo(l,o),p=qo(l,s),d=c*h-u*u,g=(h*f-u*p)/d,v=(c*p-u*f)/d,m=1-g-v;return r.z*m+n.z*g+a.z*v}for(var y=1/0,x=0,b=e;x<b.length;x+=1){var _=b[x];y=Math.min(y,_.z)}return y}var Go=Jn([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,Yo=Io.VectorTileFeature.types,Wo=Math.cos(Math.PI/180*37.5),Xo=Math.pow(2,14)/.5,Zo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ea,this.indexArray=new da,this.programConfigurations=new Qa(Go,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};Zo.prototype.populate=function(t,e){this.hasPattern=xo("line",this.layers,e);for(var r=this.layers[0].layout.get("line-sort-key"),n=[],a=0,i=t;a<i.length;a+=1){var o=i[a],s=o.feature,l=o.index,c=o.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),s)){var u=ni(s),h=r?r.evaluate(s,{}):void 0,f={id:s.id,properties:s.properties,type:s.type,sourceLayerIndex:c,index:l,geometry:u,patterns:{},sortKey:h};n.push(f)}}r&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var p=0,d=n;p<d.length;p+=1){var g=d[p],v=g,m=v.geometry,y=v.index,x=v.sourceLayerIndex;if(this.hasPattern){var b=bo("line",this.layers,g,this.zoom,e);this.patternFeatures.push(b)}else this.addFeature(g,m,y,{});var _=t[y].feature;e.featureIndex.insert(_,m,y,x,this.index)}},Zo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Zo.prototype.addFeatures=function(t,e){for(var r=0,n=this.patternFeatures;r<n.length;r+=1){var a=n[r];this.addFeature(a,a.geometry,a.index,e)}},Zo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Zo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Zo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Go),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Zo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Zo.prototype.addFeature=function(t,e,r,n){for(var a=this.layers[0].layout,i=a.get("line-join").evaluate(t,{}),o=a.get("line-cap"),s=a.get("line-miter-limit"),l=a.get("line-round-limit"),c=0,u=e;c<u.length;c+=1){var h=u[c];this.addLine(h,t,i,o,s,l,r,n)}},Zo.prototype.addLine=function(t,e,r,n,a,i,o,s){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var l=0;l<t.length-1;l++)this.totalDistance+=t[l].dist(t[l+1])}for(var c="Polygon"===Yo[e.type],u=t.length;u>=2&&t[u-1].equals(t[u-2]);)u--;for(var h=0;h<u-1&&t[h].equals(t[h+1]);)h++;if(!(u<(c?3:2))){"bevel"===r&&(a=1.05);var f,p=ei/(512*this.overscaling)*15,d=this.segments.prepareSegment(10*u,this.layoutVertexArray,this.indexArray),g=void 0,v=void 0,m=void 0,y=void 0;this.e1=this.e2=-1,c&&(f=t[u-2],y=t[h].sub(f)._unit()._perp());for(var x=h;x<u;x++)if(!(v=c&&x===u-1?t[h+1]:t[x+1])||!t[x].equals(v)){y&&(m=y),f&&(g=f),f=t[x],y=v?v.sub(f)._unit()._perp():m;var b=(m=m||y).add(y);0===b.x&&0===b.y||b._unit();var _=m.x*y.x+m.y*y.y,w=b.x*y.x+b.y*y.y,k=0!==w?1/w:1/0,T=2*Math.sqrt(2-2*w),M=w<Wo&&g&&v,A=m.x*y.y-m.y*y.x>0;if(M&&x>h){var S=f.dist(g);if(S>2*p){var E=f.sub(f.sub(g)._mult(p/S)._round());this.updateDistance(g,E),this.addCurrentVertex(E,m,0,0,d),g=E}}var L=g&&v,C=L?r:c?"butt":n;if(L&&"round"===C&&(k<i?C="miter":k<=2&&(C="fakeround")),"miter"===C&&k>a&&(C="bevel"),"bevel"===C&&(k>2&&(C="flipbevel"),k<a&&(C="miter")),g&&this.updateDistance(g,f),"miter"===C)b._mult(k),this.addCurrentVertex(f,b,0,0,d);else if("flipbevel"===C){if(k>100)b=y.mult(-1);else{var P=k*m.add(y).mag()/m.sub(y).mag();b._perp()._mult(P*(A?-1:1))}this.addCurrentVertex(f,b,0,0,d),this.addCurrentVertex(f,b.mult(-1),0,0,d)}else if("bevel"===C||"fakeround"===C){var O=-Math.sqrt(k*k-1),z=A?O:0,I=A?0:O;if(g&&this.addCurrentVertex(f,m,z,I,d),"fakeround"===C)for(var D=Math.round(180*T/Math.PI/20),R=1;R<D;R++){var F=R/D;if(.5!==F){var B=F-.5;F+=F*B*(F-1)*((1.0904+_*(_*(3.55645-1.43519*_)-3.2452))*B*B+(.848013+_*(.215638*_-1.06021)))}var N=y.sub(m)._mult(F)._add(m)._unit()._mult(A?-1:1);this.addHalfVertex(f,N.x,N.y,!1,A,0,d)}v&&this.addCurrentVertex(f,y,-z,-I,d)}else if("butt"===C)this.addCurrentVertex(f,b,0,0,d);else if("square"===C){var j=g?1:-1;this.addCurrentVertex(f,b,j,j,d)}else"round"===C&&(g&&(this.addCurrentVertex(f,m,0,0,d),this.addCurrentVertex(f,m,1,1,d,!0)),v&&(this.addCurrentVertex(f,y,-1,-1,d,!0),this.addCurrentVertex(f,y,0,0,d)));if(M&&x<u-1){var V=f.dist(v);if(V>2*p){var U=f.add(v.sub(f)._mult(p/V)._round());this.updateDistance(f,U),this.addCurrentVertex(U,y,0,0,d),f=U}}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,e,o,s)}},Zo.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,i,!1,r,a),this.addHalfVertex(t,l,c,i,!0,-n,a),this.distance>Xo/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Zo.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),a?this.e2=u:this.e1=u},Zo.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Xo-1):this.distance},dn("LineBucket",Zo,{omit:["layers","patternFeatures"]});var Jo=new Gn({"line-cap":new jn(Tt.layout_line["line-cap"]),"line-join":new Vn(Tt.layout_line["line-join"]),"line-miter-limit":new jn(Tt.layout_line["line-miter-limit"]),"line-round-limit":new jn(Tt.layout_line["line-round-limit"]),"line-sort-key":new Vn(Tt.layout_line["line-sort-key"])}),Ko={paint:new Gn({"line-opacity":new Vn(Tt.paint_line["line-opacity"]),"line-color":new Vn(Tt.paint_line["line-color"]),"line-translate":new jn(Tt.paint_line["line-translate"]),"line-translate-anchor":new jn(Tt.paint_line["line-translate-anchor"]),"line-width":new Vn(Tt.paint_line["line-width"]),"line-gap-width":new Vn(Tt.paint_line["line-gap-width"]),"line-offset":new Vn(Tt.paint_line["line-offset"]),"line-blur":new Vn(Tt.paint_line["line-blur"]),"line-dasharray":new qn(Tt.paint_line["line-dasharray"]),"line-pattern":new Un(Tt.paint_line["line-pattern"]),"line-gradient":new Hn(Tt.paint_line["line-gradient"])}),layout:Jo},Qo=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Pn(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,a){return r=h({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,a)},e}(Vn))(Ko.paint.properties["line-width"].specification);Qo.useIntegerZoom=!0;var $o=function(t){function e(e){t.call(this,e,Ko)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){"line-gradient"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values["line-gradient"].value.expression;this.gradient=Ii(t,"lineProgress"),this.gradientTexture=null},e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),this.paint._values["line-floorwidth"]=Qo.possiblyEvaluate(this._transitioningPaint._values["line-width"].value,e)},e.prototype.createBucket=function(t){return new Zo(t)},e.prototype.queryRadius=function(t){var e=t,r=ts(mi("line-width",this,e),mi("line-gap-width",this,e)),n=mi("line-offset",this,e);return r/2+Math.abs(n)+yi(this.paint.get("line-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=xi(t,this.paint.get("line-translate"),this.paint.get("line-translate-anchor"),o.angle,s),c=s/2*ts(this.paint.get("line-width").evaluate(e,r),this.paint.get("line-gap-width").evaluate(e,r)),u=this.paint.get("line-offset").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var 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os(t,e,r){return t.sections.forEach(function(t){t.text=function(t,e,r){var n=e.layout.get("text-transform").evaluate(r,{});return"uppercase"===n?t=t.toLocaleUpperCase():"lowercase"===n&&(t=t.toLocaleLowerCase()),Cn.applyArabicShaping&&(t=Cn.applyArabicShaping(t)),t}(t.text,e,r)}),t}Jn([{type:"Int16",name:"anchorX"},{type:"Int16",name:"anchorY"},{type:"Uint16",name:"glyphStartIndex"},{type:"Uint16",name:"numGlyphs"},{type:"Uint32",name:"vertexStartIndex"},{type:"Uint32",name:"lineStartIndex"},{type:"Uint32",name:"lineLength"},{type:"Uint16",name:"segment"},{type:"Uint16",name:"lowerSize"},{type:"Uint16",name:"upperSize"},{type:"Float32",name:"lineOffsetX"},{type:"Float32",name:"lineOffsetY"},{type:"Uint8",name:"writingMode"},{type:"Uint8",name:"placedOrientation"},{type:"Uint8",name:"hidden"},{type:"Uint32",name:"crossTileID"}]),Jn([{type:"Int16",name:"anchorX"},{type:"Int16",name:"anchorY"},{type:"Int16",name:"rightJustifiedTextSymbolIndex"},{type:"Int16",name:"centerJustifiedTextSymbolIndex"},{type:"Int16",name:"leftJustifiedTextSymbolIndex"},{type:"Int16",name:"verticalPlacedTextSymbolIndex"},{type:"Uint16",name:"key"},{type:"Uint16",name:"textBoxStartIndex"},{type:"Uint16",name:"textBoxEndIndex"},{type:"Uint16",name:"verticalTextBoxStartIndex"},{type:"Uint16",name:"verticalTextBoxEndIndex"},{type:"Uint16",name:"iconBoxStartIndex"},{type:"Uint16",name:"iconBoxEndIndex"},{type:"Uint16",name:"featureIndex"},{type:"Uint16",name:"numHorizontalGlyphVertices"},{type:"Uint16",name:"numVerticalGlyphVertices"},{type:"Uint16",name:"numIconVertices"},{type:"Uint32",name:"crossTileID"},{type:"Float32",name:"textBoxScale"},{type:"Float32",name:"radialTextOffset"}]),Jn([{type:"Float32",name:"offsetX"}]),Jn([{type:"Int16",name:"x"},{type:"Int16",name:"y"},{type:"Int16",name:"tileUnitDistanceFromAnchor"}]);var 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hs(t,e,r,n,a,i,o,s,l,c,u){var h,f=us.fromFeature(t,r);c===cs.vertical&&f.verticalizePunctuation();var p=Cn.processBidirectionalText,d=Cn.processStyledBidirectionalText;if(p&&1===f.sections.length){h=[];for(var g=0,v=p(f.toString(),ms(f,s,n,e));g<v.length;g+=1){var m=v[g],y=new us;y.text=m,y.sections=f.sections;for(var x=0;x<m.length;x++)y.sectionIndex.push(0);h.push(y)}}else if(d){h=[];for(var b=0,_=d(f.text,f.sectionIndex,ms(f,s,n,e));b<_.length;b+=1){var w=_[b],k=new us;k.text=w[0],k.sectionIndex=w[1],k.sections=f.sections,h.push(k)}}else h=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(f,ms(f,s,n,e));var T=[],M={positionedGlyphs:T,text:f.toString(),top:l[1],bottom:l[1],left:l[0],right:l[0],writingMode:c,lineCount:h.length,yOffset:-17};return function(t,e,r,n,a,i,o,s,l){for(var c=0,u=t.yOffset,h=0,f=t.positionedGlyphs,p="right"===i?1:"left"===i?0:.5,d=0,g=r;d<g.length;d+=1){var v=g[d];v.trim();var m=v.getMaxScale();if(v.length()){for(var y=f.length,x=0;x<v.length();x++){var b=v.getSection(x),_=v.getSectionIndex(x),w=v.getCharCode(x),k=24*(m-b.scale),T=e[b.fontStack],M=T&&T[w];M&&(o===cs.horizontal||!l&&!wn(w)||l&&(fs[w]||(S=w,xn.Arabic(S)||xn["Arabic Supplement"](S)||xn["Arabic Extended-A"](S)||xn["Arabic Presentation Forms-A"](S)||xn["Arabic Presentation Forms-B"](S)))?(f.push({glyph:w,x:c,y:u+k,vertical:!1,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=M.metrics.advance*b.scale+s):(f.push({glyph:w,x:c,y:u+k,vertical:!0,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=ls*b.scale+s))}if(f.length!==y){var A=c-s;h=Math.max(A,h),xs(f,e,y,f.length-1,p)}c=0,u+=n*m}else u+=n}var S,E=ys(a),L=E.horizontalAlign,C=E.verticalAlign;!function(t,e,r,n,a,i,o){for(var s=(e-r)*a,l=(-n*o+.5)*i,c=0;c<t.length;c++)t[c].x+=s,t[c].y+=l}(f,p,L,C,h,n,r.length);var P=u-t.yOffset;t.top+=-C*P,t.bottom=t.top+P,t.left+=-L*h,t.right=t.left+h}(M,e,h,a,i,o,c,s,u),!!T.length&&M}us.fromFeature=function(t,e){for(var r=new us,n=0;n<t.sections.length;n++){var a=t.sections[n];r.sections.push({scale:a.scale||1,fontStack:a.fontStack||e}),r.text+=a.text;for(var i=0;i<a.text.length;i++)r.sectionIndex.push(n)}return r},us.prototype.length=function(){return this.text.length},us.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},us.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},us.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},us.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e="",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;n&&kn(n)&&!ss[t[r+1]]||a&&kn(a)&&!ss[t[r-1]]||!ss[t[r]]?e+=t[r]:e+=ss[t[r]]}return e}(this.text)},us.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&fs[this.text.charCodeAt(e)];e++)t++;for(var 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(a);dn("Anchor",bs);var _s=256;function ws(t,e){var r=e.expression;if("constant"===r.kind)return{kind:"constant",layoutSize:r.evaluate(new Pn(t+1))};if("source"===r.kind)return{kind:"source"};for(var n=r.zoomStops,a=r.interpolationType,i=0;i<n.length&&n[i]<=t;)i++;for(var o=i=Math.max(0,i-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[i],l=n[o];return"composite"===r.kind?{kind:"composite",minZoom:s,maxZoom:l,interpolationType:a}:{kind:"camera",minZoom:s,maxZoom:l,minSize:r.evaluate(new Pn(s)),maxSize:r.evaluate(new Pn(l)),interpolationType:a}}function ks(t,e,r){var n=e.uSize,a=e.uSizeT,i=r.lowerSize,o=r.upperSize;return"source"===t.kind?i/_s:"composite"===t.kind?ye(i/_s,o/_s,a):n}function Ts(t,e){var r=0,n=0;if("constant"===t.kind)n=t.layoutSize;else if("source"!==t.kind){var a=t.interpolationType,i=t.minZoom,o=t.maxZoom,s=a?c(Ne.interpolationFactor(a,e,i,o),0,1):0;"camera"===t.kind?n=ye(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Ms=Object.freeze({getSizeData:ws,evaluateSizeForFeature:ks,evaluateSizeForZoom:Ts,SIZE_PACK_FACTOR:_s}),As=Io.VectorTileFeature.types,Ss=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function Es(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,Math.round(32*n),Math.round(32*a),i,o,s?s[0]:0,s?s[1]:0)}function Ls(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}var Cs=function(t){this.layoutVertexArray=new na,this.indexArray=new da,this.programConfigurations=t,this.segments=new Oa,this.dynamicLayoutVertexArray=new aa,this.opacityVertexArray=new ia,this.placedSymbolArray=new wa};Cs.prototype.upload=function(t,e,r,n){r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,es.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,Ss,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t)},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},dn("SymbolBuffers",Cs);var Ps=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Oa,this.collisionVertexArray=new la};Ps.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,ns.members,!0)},Ps.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},dn("CollisionBuffers",Ps);var Os=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasPaintOverrides=!1;var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=ws(this.zoom,e["text-size"]),this.iconSizeData=ws(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),a=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==a&&void 0!==n.constantOr(1);var i="viewport-y"===a||"auto"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=i&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),"point"===r.get("symbol-placement")&&(this.writingModes=r.get("text-writing-mode").map(function(t){return cs[t]})),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};Os.prototype.createArrays=function(){var t=this.layers[0].layout;this.hasPaintOverrides=Rs.hasPaintOverrides(t),this.text=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.collisionBox=new Ps(sa,as.members,ga),this.collisionCircle=new Ps(sa,is.members,da),this.glyphOffsetArray=new Aa,this.lineVertexArray=new Ea,this.symbolInstances=new Ta},Os.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=ss[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},Os.prototype.populate=function(t,e){var r=this.layers[0],n=r.layout,a=n.get("text-font"),i=n.get("text-field"),o=n.get("icon-image"),s=("constant"!==i.value.kind||i.value.value.toString().length>0)&&("constant"!==a.value.kind||a.value.value.length>0),l="constant"!==o.value.kind||o.value.value&&o.value.value.length>0,c=n.get("symbol-sort-key");if(this.features=[],s||l){for(var u=e.iconDependencies,h=e.glyphDependencies,f=new Pn(this.zoom),p=0,d=t;p<d.length;p+=1){var g=d[p],v=g.feature,m=g.index,y=g.sourceLayerIndex;if(r._featureFilter(f,v)){var x=void 0;if(s){var b=r.getValueAndResolveTokens("text-field",v);x=os(b instanceof Jt?b:Jt.fromString(b),r,v)}var _=void 0;if(l&&(_=r.getValueAndResolveTokens("icon-image",v)),x||_){var w=this.sortFeaturesByKey?c.evaluate(v,{}):void 0,k={text:x,icon:_,index:m,sourceLayerIndex:y,geometry:ni(v),properties:v.properties,type:As[v.type],sortKey:w};if(void 0!==v.id&&(k.id=v.id),this.features.push(k),_&&(u[_]=!0),x){var T=a.evaluate(v,{}).join(","),M="map"===n.get("text-rotation-alignment")&&"point"!==n.get("symbol-placement");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(cs.vertical)>=0;for(var A=0,S=x.sections;A<S.length;A+=1){var E=S[A],L=bn(x.toString()),C=E.fontStack||T,P=h[C]=h[C]||{};this.calculateGlyphDependencies(E.text,P,M,this.allowVerticalPlacement,L)}}}}}"line"===n.get("symbol-placement")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+":"+n.x+":"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),v=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[v].geometry,!0)]=v,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter(function(t){return t.geometry})}(this.features)),this.sortFeaturesByKey&&this.features.sort(function(t,e){return t.sortKey-e.sortKey})}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Os.prototype.isEmpty=function(){return 0===this.symbolInstances.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.collisionBox.upload(t),this.collisionCircle.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Os.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.collisionBox.destroy(),this.collisionCircle.destroy()},Os.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Os.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c){var u=this,h=t.indexArray,f=t.layoutVertexArray,p=t.dynamicLayoutVertexArray,d=t.segments.prepareSegment(4*e.length,t.layoutVertexArray,t.indexArray,i.sortKey),g=this.glyphOffsetArray.length,v=d.vertexLength,m=this.allowVerticalPlacement&&o===cs.vertical?Math.PI/2:0,y=function(t){var e=t.tl,n=t.tr,a=t.bl,i=t.br,o=t.tex,l=d.vertexLength,c=t.glyphOffset[1];Es(f,s.x,s.y,e.x,c+e.y,o.x,o.y,r),Es(f,s.x,s.y,n.x,c+n.y,o.x+o.w,o.y,r),Es(f,s.x,s.y,a.x,c+a.y,o.x,o.y+o.h,r),Es(f,s.x,s.y,i.x,c+i.y,o.x+o.w,o.y+o.h,r),Ls(p,s,m),h.emplaceBack(l,l+1,l+2),h.emplaceBack(l+1,l+2,l+3),d.vertexLength+=4,d.primitiveLength+=2,u.glyphOffsetArray.emplaceBack(t.glyphOffset[0])};if(i.text&&i.text.sections){var x=i.text.sections;if(this.hasPaintOverrides){for(var b,_=function(e,r){void 0===b||b===e&&!r||t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[b]),b=e},w=0,k=e;w<k.length;w+=1){var T=k[w];_(T.sectionIndex,!1),y(T)}_(b,!0)}else{for(var M=0,A=e;M<A.length;M+=1)y(A[M]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[0])}}else{for(var S=0,E=e;S<E.length;S+=1)y(E[S]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{})}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,v,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0)},Os.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},Os.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s,l){var c=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=c.vertexLength,h=i.layoutVertexArray,f=i.collisionVertexArray,p=s.anchorX,d=s.anchorY;if(this._addCollisionDebugVertex(h,f,o,p,d,new a(t,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,n)),this._addCollisionDebugVertex(h,f,o,p,d,new a(t,n)),c.vertexLength+=4,l){var g=i.indexArray;g.emplaceBack(u,u+1,u+2),g.emplaceBack(u,u+2,u+3),c.primitiveLength+=2}else{var v=i.indexArray;v.emplaceBack(u,u+1),v.emplaceBack(u+1,u+2),v.emplaceBack(u+2,u+3),v.emplaceBack(u+3,u),c.primitiveLength+=4}},Os.prototype.addDebugCollisionBoxes=function(t,e,r){for(var n=t;n<e;n++){var a=this.collisionBoxArray.get(n),i=a.x1,o=a.y1,s=a.x2,l=a.y2,c=a.radius>0;this.addCollisionDebugVertices(i,o,s,l,c?this.collisionCircle:this.collisionBox,a.anchorPoint,r,c)}},Os.prototype.generateCollisionDebugBuffers=function(){for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e)}},Os.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o){for(var s={},l=e;l<r;l++){var c=t.get(l);if(0===c.radius){s.textBox={x1:c.x1,y1:c.y1,x2:c.x2,y2:c.y2,anchorPointX:c.anchorPointX,anchorPointY:c.anchorPointY},s.textFeatureIndex=c.featureIndex;break}s.textCircles||(s.textCircles=[],s.textFeatureIndex=c.featureIndex),s.textCircles.push(c.anchorPointX,c.anchorPointY,c.radius,c.signedDistanceFromAnchor,1)}for(var u=n;u<a;u++){var h=t.get(u);if(0===h.radius){s.verticalTextBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},s.verticalTextFeatureIndex=h.featureIndex;break}}for(var f=i;f<o;f++){var p=t.get(f);if(0===p.radius){s.iconBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},s.iconFeatureIndex=p.featureIndex;break}}return s},Os.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex))}},Os.prototype.hasTextData=function(){return this.text.segments.get().length>0},Os.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Os.prototype.hasCollisionBoxData=function(){return this.collisionBox.segments.get().length>0},Os.prototype.hasCollisionCircleData=function(){return this.collisionCircle.segments.get().length>0},Os.prototype.addIndicesForPlacedTextSymbol=function(t){for(var e=this.text.placedSymbolArray.get(t),r=e.vertexStartIndex+4*e.numGlyphs,n=e.vertexStartIndex;n<r;n+=4)this.text.indexArray.emplaceBack(n,n+1,n+2),this.text.indexArray.emplaceBack(n+1,n+2,n+3)},Os.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort(function(t,e){return n[t]-n[e]||a[e]-a[t]}),i},Os.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var a=n[r],i=this.symbolInstances.get(a);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach(function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedTextSymbol(t)}),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedTextSymbol(i.verticalPlacedTextSymbolIndex);var o=this.icon.placedSymbolArray.get(a);if(o.numGlyphs){var s=o.vertexStartIndex;this.icon.indexArray.emplaceBack(s,s+1,s+2),this.icon.indexArray.emplaceBack(s+1,s+2,s+3)}}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},dn("SymbolBucket",Os,{omit:["layers","collisionBoxArray","features","compareText"]}),Os.MAX_GLYPHS=65535,Os.addDynamicAttributes=Ls;var zs=new Gn({"symbol-placement":new jn(Tt.layout_symbol["symbol-placement"]),"symbol-spacing":new jn(Tt.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new jn(Tt.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Vn(Tt.layout_symbol["symbol-sort-key"]),"symbol-z-order":new jn(Tt.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new jn(Tt.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new jn(Tt.layout_symbol["icon-ignore-placement"]),"icon-optional":new jn(Tt.layout_symbol["icon-optional"]),"icon-rotation-alignment":new jn(Tt.layout_symbol["icon-rotation-alignment"]),"icon-size":new Vn(Tt.layout_symbol["icon-size"]),"icon-text-fit":new jn(Tt.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new jn(Tt.layout_symbol["icon-text-fit-padding"]),"icon-image":new Vn(Tt.layout_symbol["icon-image"]),"icon-rotate":new Vn(Tt.layout_symbol["icon-rotate"]),"icon-padding":new jn(Tt.layout_symbol["icon-padding"]),"icon-keep-upright":new jn(Tt.layout_symbol["icon-keep-upright"]),"icon-offset":new Vn(Tt.layout_symbol["icon-offset"]),"icon-anchor":new Vn(Tt.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new jn(Tt.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new jn(Tt.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new jn(Tt.layout_symbol["text-rotation-alignment"]),"text-field":new Vn(Tt.layout_symbol["text-field"]),"text-font":new Vn(Tt.layout_symbol["text-font"]),"text-size":new Vn(Tt.layout_symbol["text-size"]),"text-max-width":new Vn(Tt.layout_symbol["text-max-width"]),"text-line-height":new jn(Tt.layout_symbol["text-line-height"]),"text-letter-spacing":new Vn(Tt.layout_symbol["text-letter-spacing"]),"text-justify":new Vn(Tt.layout_symbol["text-justify"]),"text-radial-offset":new Vn(Tt.layout_symbol["text-radial-offset"]),"text-variable-anchor":new jn(Tt.layout_symbol["text-variable-anchor"]),"text-anchor":new Vn(Tt.layout_symbol["text-anchor"]),"text-max-angle":new jn(Tt.layout_symbol["text-max-angle"]),"text-writing-mode":new jn(Tt.layout_symbol["text-writing-mode"]),"text-rotate":new Vn(Tt.layout_symbol["text-rotate"]),"text-padding":new jn(Tt.layout_symbol["text-padding"]),"text-keep-upright":new jn(Tt.layout_symbol["text-keep-upright"]),"text-transform":new Vn(Tt.layout_symbol["text-transform"]),"text-offset":new Vn(Tt.layout_symbol["text-offset"]),"text-allow-overlap":new jn(Tt.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new jn(Tt.layout_symbol["text-ignore-placement"]),"text-optional":new jn(Tt.layout_symbol["text-optional"])}),Is={paint:new Gn({"icon-opacity":new Vn(Tt.paint_symbol["icon-opacity"]),"icon-color":new Vn(Tt.paint_symbol["icon-color"]),"icon-halo-color":new Vn(Tt.paint_symbol["icon-halo-color"]),"icon-halo-width":new Vn(Tt.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Vn(Tt.paint_symbol["icon-halo-blur"]),"icon-translate":new jn(Tt.paint_symbol["icon-translate"]),"icon-translate-anchor":new jn(Tt.paint_symbol["icon-translate-anchor"]),"text-opacity":new Vn(Tt.paint_symbol["text-opacity"]),"text-color":new Vn(Tt.paint_symbol["text-color"],{runtimeType:Ft,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),"text-halo-color":new Vn(Tt.paint_symbol["text-halo-color"]),"text-halo-width":new Vn(Tt.paint_symbol["text-halo-width"]),"text-halo-blur":new Vn(Tt.paint_symbol["text-halo-blur"]),"text-translate":new jn(Tt.paint_symbol["text-translate"]),"text-translate-anchor":new jn(Tt.paint_symbol["text-translate-anchor"])}),layout:zs},Ds=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:zt,this.defaultValue=t};Ds.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Ds.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Ds.prototype.possibleOutputs=function(){return[void 0]},Ds.prototype.serialize=function(){return null},dn("FormatSectionOverride",Ds,{omit:["defaultValue"]});var Rs=function(t){function e(e){t.call(this,e,Is)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e){if(t.prototype.recalculate.call(this,e),"auto"===this.layout.get("icon-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["icon-rotation-alignment"]="map":this.layout._values["icon-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-rotation-alignment")&&("point"!==this.layout.get("symbol-placement")?this.layout._values["text-rotation-alignment"]="map":this.layout._values["text-rotation-alignment"]="viewport"),"auto"===this.layout.get("text-pitch-alignment")&&(this.layout._values["text-pitch-alignment"]=this.layout.get("text-rotation-alignment")),"auto"===this.layout.get("icon-pitch-alignment")&&(this.layout._values["icon-pitch-alignment"]=this.layout.get("icon-rotation-alignment")),"point"===this.layout.get("symbol-placement")){var r=this.layout.get("text-writing-mode");if(r){for(var n=[],a=0,i=r;a<i.length;a+=1){var o=i[a];n.indexOf(o)<0&&n.push(o)}this.layout._values["text-writing-mode"]=n}else this.layout._values["text-writing-mode"]=["horizontal"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e){var r=this.layout.get(t).evaluate(e,{}),n=this._unevaluatedLayout._values[t];return n.isDataDriven()||wr(n.value)?r:function(t,e){return r.replace(/{([^{}]+)}/g,function(e,r){return r in t?String(t[r]):""})}(e.properties)},e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Is.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new Ds(i),s=new _r(o,i.property.specification);a="constant"===i.value.kind||"source"===i.value.kind?new Tr("source",s):new Mr("composite",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new Bn(i.property,a,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get("text-field"),n=Is.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1){var i=r[e];if(n.overrides&&n.overrides.hasOverride(i))return void(a=!0)}};if("constant"===r.value.kind&&r.value.value instanceof Jt)i(r.value.value.sections);else if("source"===r.value.kind){var o=function(t){if(!a)if(t instanceof te&&Qt(t.value)===Vt){var e=t.value;i(e.sections)}else t instanceof ae?i(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e.hasPaintOverrides=function(t){for(var r=0,n=Is.paint.overridableProperties;r<n.length;r+=1){var a=n[r];if(e.hasPaintOverride(t,a))return!0}return!1},e}(Yn),Fs={paint:new Gn({"background-color":new jn(Tt.paint_background["background-color"]),"background-pattern":new qn(Tt.paint_background["background-pattern"]),"background-opacity":new jn(Tt.paint_background["background-opacity"])})},Bs=function(t){function e(e){t.call(this,e,Fs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Ns={paint:new Gn({"raster-opacity":new jn(Tt.paint_raster["raster-opacity"]),"raster-hue-rotate":new jn(Tt.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new jn(Tt.paint_raster["raster-brightness-min"]),"raster-brightness-max":new jn(Tt.paint_raster["raster-brightness-max"]),"raster-saturation":new jn(Tt.paint_raster["raster-saturation"]),"raster-contrast":new jn(Tt.paint_raster["raster-contrast"]),"raster-resampling":new jn(Tt.paint_raster["raster-resampling"]),"raster-fade-duration":new jn(Tt.paint_raster["raster-fade-duration"])})},js=function(t){function e(e){t.call(this,e,Ns)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Vs=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return"3d"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Yn),Us={circle:Mi,heatmap:Di,hillshade:Fi,fill:To,"fill-extrusion":Uo,line:$o,symbol:Rs,background:Bs,raster:js};function qs(t){for(var e=0,r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];e+=i.w*i.h,r=Math.max(r,i.w)}t.sort(function(t,e){return e.h-t.h});for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else h.h===p.h?(p.x+=h.w,p.w-=h.w):h.w===p.w?(p.y+=h.h,p.h-=h.h):(o.push({x:p.x+h.w,y:p.y,w:p.w-h.w,h:h.h}),p.y+=h.h,p.h-=h.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var Hs=function(t,e){var r=e.pixelRatio,n=e.version;this.paddedRect=t,this.pixelRatio=r,this.version=n},Gs={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};Gs.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},Gs.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},Gs.tlbr.get=function(){return this.tl.concat(this.br)},Gs.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(Hs.prototype,Gs);var Ys=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=qs(a),o=i.w,s=i.h,l=new Oi({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Oi.copy(u.data,l,{x:0,y:0},{x:h.x+1,y:h.y+1},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,g=d.x+1,v=d.y+1,m=p.data.width,y=p.data.height;Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v},p.data),Oi.copy(p.data,l,{x:0,y:y-1},{x:g,y:v-1},{width:m,height:1}),Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v+y},{width:m,height:1}),Oi.copy(p.data,l,{x:m-1,y:0},{x:g-1,y:v},{width:1,height:y}),Oi.copy(p.data,l,{x:0,y:0},{x:g+m,y:v},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ys.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new Hs(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ys.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ys.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,a=n[0],i=n[1];r.update(e.data,void 0,{x:a,y:i})}},dn("ImagePosition",Hs),dn("ImageAtlas",Ys);var Ws=self.HTMLImageElement,Xs=self.HTMLCanvasElement,Zs=self.HTMLVideoElement,Js=self.ImageData,Ks=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ks.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),i)this.size=[n,a],t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ks.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ks.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ks.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Qs=function(t,e,r,n,a){var i,o,s=8*a-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?a-1:0,f=r?-1:1,p=t[e+h];for(h+=f,i=p&(1<<-u)-1,p>>=-u,u+=s;u>0;i=256*i+t[e+h],h+=f,u-=8);for(o=i&(1<<-u)-1,i>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===i)i=1-c;else{if(i===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),i-=c}return(p?-1:1)*o*Math.pow(2,i-n)},$s=function(t,e,r,n,a,i){var o,s,l,c=8*i-a-1,u=(1<<c)-1,h=u>>1,f=23===a?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:i-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,a),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,a),o=0));a>=8;t[r+p]=255&s,p+=d,s/=256,a-=8);for(o=o<<a|s,c+=a;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},tl=el;function el(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}function rl(t){return t.type===el.Bytes?t.readVarint()+t.pos:t.pos+1}function nl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function al(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var a=r.pos-1;a>=t;a--)r.buf[a+n]=r.buf[a]}function il(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function ol(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function sl(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function ll(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function cl(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function ul(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function hl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function fl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function pl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function dl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function gl(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function vl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}el.Varint=0,el.Fixed64=1,el.Bytes=2,el.Fixed32=5,el.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var n=this.readVarint(),a=n>>3,i=this.pos;this.type=7&n,t(a,e,this),this.pos===i&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=dl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var t=vl(this.buf,this.pos);return this.pos+=4,t},readFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*dl(this.buf,this.pos+4);return this.pos+=8,t},readSFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*vl(this.buf,this.pos+4);return this.pos+=8,t},readFloat:function(){var t=Qs(this.buf,this.pos,!0,23,4);return this.pos+=4,t},readDouble:function(){var t=Qs(this.buf,this.pos,!0,52,8);return this.pos+=8,t},readVarint:function(t){var e,r,n=this.buf;return e=127&(r=n[this.pos++]),r<128?e:(e|=(127&(r=n[this.pos++]))<<7,r<128?e:(e|=(127&(r=n[this.pos++]))<<14,r<128?e:(e|=(127&(r=n[this.pos++]))<<21,r<128?e:function(t,e,r){var n,a,i=r.buf;if(n=(112&(a=i[r.pos++]))>>4,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<3,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<10,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<17,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<24,a<128)return nl(t,n,e);if(n|=(1&(a=i[r.pos++]))<<31,a<128)return nl(t,n,e);throw new Error("Expected varint not more than 10 bytes")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=function(t,e,r){for(var n="",a=e;a<r;){var i,o,s,l=t[a],c=null,u=l>239?4:l>223?3:l>191?2:1;if(a+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(i=t[a+1]))&&(c=(31&l)<<6|63&i)<=127&&(c=null):3===u?(i=t[a+1],o=t[a+2],128==(192&i)&&128==(192&o)&&((c=(15&l)<<12|(63&i)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(i=t[a+1],o=t[a+2],s=t[a+3],128==(192&i)&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&i)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),a+=u}return n}(this.buf,this.pos,t);return this.pos=t,e},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==el.Bytes)return t.push(this.readVarint(e));var r=rl(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==el.Bytes)return t.push(this.readSVarint());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==el.Bytes)return t.push(this.readBoolean());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==el.Bytes)return t.push(this.readFloat());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==el.Bytes)return t.push(this.readDouble());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===el.Varint)for(;this.buf[this.pos++]>127;);else if(e===el.Bytes)this.pos=this.readVarint()+this.pos;else if(e===el.Fixed32)this.pos+=4;else{if(e!==el.Fixed64)throw new Error("Unimplemented type: "+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error("Given varint doesn't fit into 10 bytes");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&al(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),$s(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),$s(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&al(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,el.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,il,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,ol,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,cl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,sl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ll,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ul,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,pl,e)},writeBytesField:function(t,e){this.writeTag(t,el.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,el.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,el.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,el.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var ml=3;function yl(t,e,r){1===t&&r.readMessage(xl,e)}function xl(t,e,r){if(3===t){var n=r.readMessage(bl,{}),a=n.id,i=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:a,bitmap:new Pi({width:o+2*ml,height:s+2*ml},i),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function bl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var _l=ml,wl=function(t){var e=this;this._callback=t,this._triggered=!1,"undefined"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};wl.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){t._triggered=!1,t._callback()},0))};var kl=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v(["receive","process"],this),this.invoker=new wl(this.process),this.target.addEventListener("message",this.receive,!1)};function Tl(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}kl.prototype.send=function(t,e,r,n){var a=this,i=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[i]=r);var o=[];return this.target.postMessage({id:i,type:t,hasCallback:!!r,targetMapId:n,sourceMapId:this.mapId,data:vn(e,o)},o),{cancel:function(){r&&delete a.callbacks[i],a.target.postMessage({id:i,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},kl.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if("<cancel>"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()},kl.prototype.process=function(){var t=this;if(this.taskQueue.length){var e=this.taskQueue.shift(),r=this.tasks[e];if(delete this.tasks[e],this.taskQueue.length&&this.invoker.trigger(),r)if("<response>"===r.type){var n=this.callbacks[e];delete this.callbacks[e],n&&(r.error?n(mn(r.error)):n(null,mn(r.data)))}else{var a=!1,i=r.hasCallback?function(r,n){a=!0,delete t.cancelCallbacks[e];var i=[];t.target.postMessage({id:e,type:"<response>",sourceMapId:t.mapId,error:r?vn(r):null,data:vn(n,i)},i)}:function(t){a=!0},o=null,s=mn(r.data);if(this.parent[r.type])o=this.parent[r.type](r.sourceMapId,s,i);else if(this.parent.getWorkerSource){var l=r.type.split(".");o=this.parent.getWorkerSource(r.sourceMapId,l[0],s.source)[l[1]](s,i)}else i(new Error("Could not find function "+r.type));!a&&o&&o.cancel&&(this.cancelCallbacks[e]=o.cancel)}}},kl.prototype.remove=function(){this.target.removeEventListener("message",this.receive,!1)};var Ml=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Ml.prototype.setNorthEast=function(t){return this._ne=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.setSouthWest=function(t){return this._sw=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Al)e=t,r=t;else{if(!(t instanceof Ml))return Array.isArray(t)?t.every(Array.isArray)?this.extend(Ml.convert(t)):this.extend(Al.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Al(e.lng,e.lat),this._ne=new Al(r.lng,r.lat)),this},Ml.prototype.getCenter=function(){return new Al((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Ml.prototype.getSouthWest=function(){return this._sw},Ml.prototype.getNorthEast=function(){return this._ne},Ml.prototype.getNorthWest=function(){return new Al(this.getWest(),this.getNorth())},Ml.prototype.getSouthEast=function(){return new Al(this.getEast(),this.getSouth())},Ml.prototype.getWest=function(){return this._sw.lng},Ml.prototype.getSouth=function(){return this._sw.lat},Ml.prototype.getEast=function(){return this._ne.lng},Ml.prototype.getNorth=function(){return this._ne.lat},Ml.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Ml.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},Ml.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Ml.convert=function(t){return!t||t instanceof Ml?t:new Ml(t)};var Al=function(t,e){if(isNaN(t)||isNaN(e))throw new Error("Invalid LngLat object: ("+t+", "+e+")");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error("Invalid LngLat latitude value: must be between -90 and 90")};Al.prototype.wrap=function(){return new Al(u(this.lng,-180,180),this.lat)},Al.prototype.toArray=function(){return[this.lng,this.lat]},Al.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Al.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Ml(new Al(this.lng-r,this.lat-e),new Al(this.lng+r,this.lat+e))},Al.convert=function(t){if(t instanceof Al)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Al(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Al(Number("lng"in t?t.lng:t.lon),Number(t.lat));throw new Error("`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]")};var Sl=2*Math.PI*6378137;function El(t){return Sl*Math.cos(t*Math.PI/180)}function Ll(t){return(180+t)/360}function Cl(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Pl(t,e){return t/El(e)}function Ol(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var zl=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};zl.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Al.convert(t);return new zl(Ll(r.lng),Cl(r.lat),Pl(e,r.lat))},zl.prototype.toLngLat=function(){return new Al(360*this.x-180,Ol(this.y))},zl.prototype.toAltitude=function(){return this.z*El(Ol(this.y))},zl.prototype.meterInMercatorCoordinateUnits=function(){return 1/Sl*(t=Ol(this.y),1/Math.cos(t*Math.PI/180));var t};var Il=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Fl(0,t,e,r)};Il.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Il.prototype.url=function(t,e){var r,n,a,i,o,s=(r=this.x,n=this.y,a=this.z,i=Tl(256*r,256*(n=Math.pow(2,a)-n-1),a),o=Tl(256*(r+1),256*(n+1),a),i[0]+","+i[1]+","+o[0]+","+o[1]),l=function(t,e,r){for(var n,a="",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace("{prefix}",(this.x%16).toString(16)+(this.y%16).toString(16)).replace("{z}",String(this.z)).replace("{x}",String(this.x)).replace("{y}",String("tms"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace("{quadkey}",l).replace("{bbox-epsg-3857}",s)},Il.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*ei,(t.y*e-this.y)*ei)};var Dl=function(t,e){this.wrap=t,this.canonical=e,this.key=Fl(t,e.z,e.x,e.y)},Rl=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new Il(r,+n,+a),this.key=Fl(e,t,n,a)};function Fl(t,e,r,n){(t*=2)<0&&(t=-1*t-1);var a=1<<e;return 32*(a*a*t+a*n+r)+e}Rl.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Rl.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Rl(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Rl(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Rl.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Rl.prototype.children=function(t){if(this.overscaledZ>=t)return[new Rl(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Rl(e,this.wrap,e,r,n),new Rl(e,this.wrap,e,r+1,n),new Rl(e,this.wrap,e,r,n+1),new Rl(e,this.wrap,e,r+1,n+1)]},Rl.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Rl.prototype.wrapped=function(){return new Rl(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.unwrapTo=function(t){return new Rl(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Rl.prototype.toUnwrapped=function(){return new Dl(this.wrap,this.canonical)},Rl.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},Rl.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new zl(t.x-this.wrap,t.y))},dn("CanonicalTileID",Il),dn("OverscaledTileID",Rl,{omit:["posMatrix"]});var Bl=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return w('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');var n=this.dim=e.height;this.stride=this.dim+2,this.data=new Int32Array(this.stride*this.stride);for(var a=e.data,i="terrarium"===r?this._unpackTerrarium:this._unpackMapbox,o=0;o<n;o++)for(var s=0;s<n;s++){var l=4*(o*n+s);this.set(s,o,i(a[l],a[l+1],a[l+2]))}for(var c=0;c<n;c++)this.set(-1,c,this.get(0,c)),this.set(n,c,this.get(n-1,c)),this.set(c,-1,this.get(c,0)),this.set(c,n,this.get(c,n-1));this.set(-1,-1,this.get(0,0)),this.set(n,-1,this.get(n-1,0)),this.set(-1,n,this.get(0,n-1)),this.set(n,n,this.get(n-1,n-1))};Bl.prototype.set=function(t,e,r){this.data[this._idx(t,e)]=r+65536},Bl.prototype.get=function(t,e){return this.data[this._idx(t,e)]-65536},Bl.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError("out of range source coordinates for DEM data");return(e+1)*this.stride+(t+1)},Bl.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Bl.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Bl.prototype.getPixels=function(){return new Oi({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Bl.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error("dem dimension mismatch");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.set(u,c,t.get(u+s,c+l))},dn("DEMData",Bl);var Nl=Jn([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),jl=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};jl.prototype.encode=function(t){return this._stringToNumber[t]},jl.prototype.decode=function(t){return this._numberToString[t]};var Vl=function(t,e,r,n){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,null!=t.id&&(this.id=t.id)},Ul={geometry:{configurable:!0}};Ul.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Ul.geometry.set=function(t){this._geometry=t},Vl.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)"_geometry"!==e&&"_vectorTileFeature"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Vl.prototype,Ul);var ql=function(){this.state={},this.stateChanges={},this.deletedStates={}};ql.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},h(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},ql.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e&&e>=0)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e&&e>=0)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},ql.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},a=this.stateChanges[t]||{},i=h({},n[r],a[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete i[s]}return i},ql.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},ql.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),h(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,f=Object.keys(this.deletedStates[o][c]);u<f.length;u+=1){var p=f[u];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},h(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Hl=function(t,e,r){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=e||new cn(ei,16,0),this.grid3D=new cn(ei,16,0),this.featureIndexArray=r||new Ca};function Gl(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Yl(t,e){return e-t}Hl.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<ei&&u[1]<ei&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Hl.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Io.VectorTile(new tl(this.rawTileData)).layers,this.sourceLayerCoder=new jl(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Hl.prototype.query=function(t,e,r){var n=this;this.loadVTLayers();for(var i=t.params||{},o=ei/t.tileSize/t.scale,s=Rr(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=Gl(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=Gl(t.cameraQueryGeometry),p=0,d=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(gi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(vi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)});p<d.length;p+=1){var g=d[p];h.push(g)}h.sort(Yl);for(var v,m={},y=function(a){var c=h[a];if(c!==v){v=c;var u=n.featureIndexArray.get(c),f=null;n.loadMatchingFeature(m,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,e,function(e,a){f||(f=ni(e));var i={};return e.id&&(i=r.getState(a.sourceLayer||"_geojsonTileLayer",e.id)),a.queryIntersectsFeature(l,e,i,f,n.z,t.transform,o,t.pixelPosMatrix)})}},x=0;x<h.length;x++)y(x);return m},Hl.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s){var l=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,l)){var c=this.sourceLayerCoder.decode(r),u=this.vtLayers[c].feature(n);if(a(new Pn(this.tileID.overscaledZ),u))for(var h=0;h<l.length;h++){var f=l[h];if(!(i&&i.indexOf(f)<0)){var p=o[f];if(p){var d=!s||s(u,p);if(d){var g=new Vl(u,this.z,this.x,this.y);g.layer=p.serialize();var v=t[f];void 0===v&&(v=t[f]=[]),v.push({featureIndex:n,feature:g,intersectionZ:d})}}}}}},Hl.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i){var o={};this.loadVTLayers();for(var s=Rr(n),l=0,c=t;l<c.length;l+=1){var u=c[l];this.loadMatchingFeature(o,e,r,u,s,a,i)}return o},Hl.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},dn("FeatureIndex",Hl,{omit:["rawTileData","sourceLayerCoder"]});var Wl=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.expiredRequestCount=0,this.state="loading"};function Xl(t,e,r,n,a){if(void 0===e.segment)return!0;for(var i=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(i),i=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var p=u.angleTo(h)-h.angleTo(f);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>a)return!1;o++,s+=h.dist(f)}return!0}function Zl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Jl(t,e,r){return t?.6*e*r:0}function Kl(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Ql(t,e,r,n,a,i){for(var o=Jl(r,a,i),s=Kl(r,n)*i,l=0,c=Zl(t)/2,u=0;u<t.length-1;u++){var h=t[u],f=t[u+1],p=h.dist(f);if(l+p>c){var d=(c-l)/p,g=ye(h.x,f.x,d),v=ye(h.y,f.y,d),m=new bs(g,v,f.angleTo(h),u);return m._round(),!o||Xl(t,m,s,o,e)?m:void 0}l+=p}}function $l(t,e,r,n,a,i,o,s,l){var c=Jl(n,i,o),u=Kl(n,a),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),function t(e,r,n,a,i,o,s,l,c){for(var u=o/2,h=Zl(e),f=0,p=r-n,d=[],g=0;g<e.length-1;g++){for(var v=e[g],m=e[g+1],y=v.dist(m),x=m.angleTo(v);p+n<f+y;){var b=((p+=n)-f)/y,_=ye(v.x,m.x,b),w=ye(v.y,m.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=h){var k=new bs(_,w,x,g);k._round(),a&&!Xl(e,k,o,a,i)||d.push(k)}}f+=y}return l||d.length||s||(d=t(e,f/2,n,a,i,o,s,!0,c)),d}(t,f?e/2*s%e:(u/2+2*i)*o*s%e,e,c,r,h,f,!1,l)}Wl.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<I.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Wl.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},Wl.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state="loaded",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=i[a],n=t.layerIds.map(function(t){return e.getLayer(t)}).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map(function(t){return n.filter(function(e){return e.id===t})[0]}));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof Os){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}for(var i in this.queryPadding=0,this.buckets){var o=this.buckets[i];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(i).queryRadius(o))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new ba},Wl.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state="unloaded"},Wl.prototype.unloadDEMData=function(){this.dem=null,this.neighboringTiles=null,this.state="unloaded"},Wl.prototype.getBucket=function(t){return this.buckets[t.id]},Wl.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ks(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ks(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Wl.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Wl.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:r,cameraQueryGeometry:n,scale:a,tileSize:this.tileSize,pixelPosMatrix:l,transform:o,params:i,queryPadding:this.queryPadding*s},t,e):{}},Wl.prototype.querySourceFeatures=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData){var r=this.latestFeatureIndex.loadVTLayers(),n=e?e.sourceLayer:"",a=r._geojsonTileLayer||r[n];if(a)for(var i=Rr(e&&e.filter),o=this.tileID.canonical,s=o.z,l=o.x,c=o.y,u={z:s,x:l,y:c},h=0;h<a.length;h++){var f=a.feature(h);if(i(new Pn(this.tileID.overscaledZ),f)){var p=new Vl(f,s,l,c);p.tile=u,t.push(p)}}}},Wl.prototype.clearMask=function(){this.segments&&(this.segments.destroy(),delete this.segments),this.maskedBoundsBuffer&&(this.maskedBoundsBuffer.destroy(),delete this.maskedBoundsBuffer),this.maskedIndexBuffer&&(this.maskedIndexBuffer.destroy(),delete this.maskedIndexBuffer)},Wl.prototype.setMask=function(t,e){if(!o(this.mask,t)&&(this.mask=t,this.clearMask(),!o(t,{0:!0}))){var r=new $n,n=new da;this.segments=new Oa,this.segments.prepareSegment(0,r,n);for(var i=Object.keys(t),s=0;s<i.length;s++){var l=t[+i[s]],c=ei>>l.z,u=new a(l.x*c,l.y*c),h=new a(u.x+c,u.y+c),f=this.segments.prepareSegment(4,r,n);r.emplaceBack(u.x,u.y,u.x,u.y),r.emplaceBack(h.x,u.y,h.x,u.y),r.emplaceBack(u.x,h.y,u.x,h.y),r.emplaceBack(h.x,h.y,h.x,h.y);var p=f.vertexLength;n.emplaceBack(p,p+1,p+2),n.emplaceBack(p+1,p+2,p+3),f.vertexLength+=4,f.primitiveLength+=2}this.maskedBoundsBuffer=e.createVertexBuffer(r,Nl.members),this.maskedIndexBuffer=e.createIndexBuffer(n)}},Wl.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},Wl.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Wl.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r["max-age"]&&(this.expirationTime=Date.now()+1e3*r["max-age"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state="expired"):this.expiredRequestCount=0}},Wl.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Wl.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets){var a=this.buckets[n],i=a.layers[0].sourceLayer||"_geojsonTileLayer",o=r[i],s=t[i];o&&s&&0!==Object.keys(s).length&&(a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{}),e&&e.style&&(this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(n).queryRadius(a))))}}},Wl.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Wl.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<I.now()},Wl.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Wl.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=I.now()+t};var tc=function(t,e,r,n,i,o,s,l,c,u,h,f){var p=s.top*l-c,d=s.bottom*l+c,g=s.left*l-c,v=s.right*l+c;if(this.boxStartIndex=t.length,u){var m=d-p,y=v-g;m>0&&(m=Math.max(10*l,m),this._addLineCollisionCircles(t,e,r,r.segment,y,m,n,i,o,h))}else{if(f){var x=new a(g,p),b=new a(v,p),_=new a(g,d),w=new a(v,d),k=f*Math.PI/180;x._rotate(k),b._rotate(k),_._rotate(k),w._rotate(k),g=Math.min(x.x,b.x,_.x,w.x),v=Math.max(x.x,b.x,_.x,w.x),p=Math.min(x.y,b.y,_.y,w.y),d=Math.max(x.y,b.y,_.y,w.y)}t.emplaceBack(r.x,r.y,g,p,v,d,n,i,o,0,0)}this.boxEndIndex=t.length};tc.prototype._addLineCollisionCircles=function(t,e,r,n,a,i,o,s,l,c){var u=i/2,h=Math.floor(a/u)||1,f=1+.4*Math.log(c)/Math.LN2,p=Math.floor(h*f/2),d=-i/2,g=r,v=n+1,m=d,y=-a/2,x=y-a/4;do{if(--v<0){if(m>y)return;v=0;break}m-=e[v].dist(g),g=e[v]}while(m>x);for(var b=e[v].dist(e[v+1]),_=-p;_<h+p;_++){var w=_*u,k=y+w;if(w<0&&(k+=w),w>a&&(k+=w-a),!(k<m)){for(;m+b<k;){if(m+=b,++v+1>=e.length)return;b=e[v].dist(e[v+1])}var T=k-m,M=e[v],A=e[v+1].sub(M)._unit()._mult(T)._add(M)._round(),S=Math.abs(k-d)<u?0:.8*(k-d);t.emplaceBack(A.x,A.y,-i/2,-i/2,i/2,i/2,o,s,l,i/2,S)}}};var ec=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=rc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function rc(t,e){return t<e?-1:t>e?1:0}function nc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<i)&&(i=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=o-n,f=s-i,p=Math.min(h,f),d=p/2,g=new ec([],ac);if(0===p)return new a(n,i);for(var v=n;v<o;v+=p)for(var m=i;m<s;m+=p)g.push(new ic(v+d,m+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,a=t[0],i=0,o=a.length,s=o-1;i<o;s=i++){var l=a[i],c=a[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new ic(r/e,n/e,0,t)}(t),x=g.length;g.length;){var b=g.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new ic(b.p.x-d,b.p.y-d,d,t)),g.push(new ic(b.p.x+d,b.p.y-d,d,t)),g.push(new ic(b.p.x-d,b.p.y+d,d,t)),g.push(new ic(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log("num probes: "+x),console.log("best distance: "+y.d)),y.p}function ac(t,e){return e.max-t.max}function ic(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,a=0;a<e.length;a++)for(var i=e[a],o=0,s=i.length,l=s-1;o<s;l=o++){var c=i[o],u=i[l];c.y>t.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,pi(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}ec.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},ec.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},ec.prototype.peek=function(){return this.data[0]},ec.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var a=t-1>>1,i=e[a];if(r(n,i)>=0)break;e[t]=i,t=a}e[t]=n},ec.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,a=e[t];t<n;){var 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l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if("composite"===t.textSizeData.kind){var h=t.textSizeData,f=h.minZoom,p=h.maxZoom;u.compositeTextSizes=[c["text-size"].possiblyEvaluate(new Pn(f)),c["text-size"].possiblyEvaluate(new Pn(p))]}if("composite"===t.iconSizeData.kind){var d=t.iconSizeData,g=d.minZoom,v=d.maxZoom;u.compositeIconSizes=[c["icon-size"].possiblyEvaluate(new Pn(g)),c["icon-size"].possiblyEvaluate(new Pn(v))]}u.layoutTextSize=c["text-size"].possiblyEvaluate(new Pn(t.zoom+1)),u.layoutIconSize=c["icon-size"].possiblyEvaluate(new Pn(t.zoom+1)),u.textMaxSize=c["text-size"].possiblyEvaluate(new Pn(18));for(var m=l.get("text-line-height")*ls,y="map"===l.get("text-rotation-alignment")&&"point"!==l.get("symbol-placement"),x=l.get("text-keep-upright"),b=function(){var o=k[_],s=l.get("text-font").evaluate(o,{}).join(","),c=r,h={horizontal:{},vertical:void 0},f=o.text,p=[0,0];if(f){var 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bt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function _t(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(wt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(wt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function wt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function kt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,Tt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function Tt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if("Point"===i||"MultiPoint"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===i)Mt(o,a,t,r,!1,!1);else if("MultiLineString"===i||"Polygon"===i)for(s=0;s<a.length;s++)Mt(o,a[s],t,r,"Polygon"===i,0===s);else if("MultiPolygon"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)Mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if("LineString"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:"Polygon"===i||"MultiPolygon"===i?3:"LineString"===i||"MultiLineString"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function Mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function At(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)it(r,t.features[n],e,n);else"Feature"===t.type?it(r,t,e):it(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,a=ht(t,1,-1-r,r,0,-1,2,e),i=ht(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=ht(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=xt(a,1).concat(n)),i&&(n=n.concat(xt(i,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function St(t,e,r){return 32*((1<<t)*r+e)+t}function Et(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var a=new k(n.features),i=E(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}Y.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=e.nodeSize;r&&console.time("total time");var o="prepare "+t.length+" points";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(X(t[l],l));this.trees[a+1]=new H(s,tt,et,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new H(s,tt,et,i,Float32Array),r&&console.log("z%d: %d clusters in %dms",c,s.length,+Date.now()-u)}return r&&console.timeEnd("total time"),this},Y.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(K(r),Q(i),K(a),Q(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?Z(p):this.points[p.index])}return c},Y.prototype.getChildren=function(t){var e=t>>5,r=t%32,n="No cluster with the specified id.",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=c[l],h=a.points[u];h.parentId===t&&s.push(h.numPoints?Z(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},Y.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},Y.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.extent,s=i.radius/o,l=(r-s)/a,c=(r+1+s)/a,u={features:[]};return this._addTileFeatures(n.range((e-s)/a,l,(e+1+s)/a,c),n.points,e,r,a,u),0===e&&this._addTileFeatures(n.range(1-s/a,l,1,c),n.points,a,r,a,u),e===a-1&&this._addTileFeatures(n.range(0,l,s/a,c),n.points,-1,r,a,u),u.features.length?u:null},Y.prototype.getClusterExpansionZoom=function(t){for(var e=t%32-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},Y.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},Y.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:l.numPoints?J(l):this.points[l.index].properties},u=l.numPoints?l.id:this.points[l.index].id;void 0!==u&&(c.id=u),i.features.push(c)}},Y.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},Y.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.radius,i=n.extent,o=n.reduce,s=a/(i*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],h=u.within(c.x,c.y,s),f=c.numPoints||1,p=c.x*f,d=c.y*f,g=o&&f>1?this._map(c,!0):null,v=(l<<5)+(e+1),m=0,y=h;m<y.length;m+=1){var x=y[m],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,f+=_,b.parentId=v,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===f?r.push(c):(c.parentId=v,r.push(W(p/f,d/f,v,f,g)))}}return r},Y.prototype._map=function(t,e){if(t.numPoints)return e?$({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?$({},n):n},At.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},At.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=St(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time("creation"),f=this.tiles[h]=kt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log("tile z%d-%d-%d (features: %d, points: %d, simplified: %d)",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd("creation"));var p="z"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time("clipping");var g,v,m,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,k=.5+_,T=1+_;g=v=m=y=null,x=ht(t,u,r-_,r+k,0,f.minX,f.maxX,l),b=ht(t,u,r+w,r+T,0,f.minX,f.maxX,l),t=null,x&&(g=ht(x,u,n-_,n+k,1,f.minY,f.maxY,l),v=ht(x,u,n+w,n+T,1,f.minY,f.maxY,l),x=null),b&&(m=ht(b,u,n-_,n+k,1,f.minY,f.maxY,l),y=ht(b,u,n+w,n+T,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd("clipping"),s.push(g||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(m||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},At.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=St(t,e=(e%o+o)%o,r);if(this.tiles[s])return _t(this.tiles[s],a);i>1&&console.log("drilling down to z%d-%d-%d",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[St(c,u,h)];return l&&l.source?(i>1&&console.log("found parent tile z%d-%d-%d",c,u,h),i>1&&console.time("drilling down"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd("drilling down"),this.tiles[s]?_t(this.tiles[s],a):null):null};var Lt=function(e){function r(t,r,n){e.call(this,t,r,Et),n&&(this.loadGeoJSON=n)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&"Idle"!==this._state?this._state="NeedsLoadData":(this._state="Coalescing",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var a=!!(n&&n.request&&n.request.collectResourceTiming)&&new l.Performance(n.request);this.loadGeoJSON(n,function(i,o){if(i||!o)return r(i);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));!function t(e,r){switch(e&&e.type||null){case"FeatureCollection":return e.features=e.features.map(y(t,r)),e;case"GeometryCollection":return e.geometries=e.geometries.map(y(t,r)),e;case"Feature":return e.geometry=t(e.geometry,r),e;case"Polygon":case"MultiPolygon":return function(t,e){return"Polygon"===t.type?t.coordinates=x(t.coordinates,e):"MultiPolygon"===t.type&&(t.coordinates=t.coordinates.map(y(x,e))),t}(e,r);default:return e}}(o,!0);try{e._geoJSONIndex=n.cluster?new Y(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=f[1],g=t.createExpression(d),v=t.createExpression("string"==typeof p?[p,["accumulated"],["get",h]]:p);a[h]=g.value,i[h]=v.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):new At(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)})}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,a=t.uid;return n&&n[a]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))},r.prototype.getClusterChildren=function(t,e){e(null,this._geoJSONIndex.getChildren(t.clusterId))},r.prototype.getClusterLeaves=function(t,e){e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))},r}(h),Ct=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.workerSourceTypes={vector:h,geojson:Lt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isLoaded())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return Ct.prototype.setReferrer=function(t,e){this.referrer=e},Ct.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},Ct.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},Ct.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},Ct.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},Ct.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},Ct.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},Ct.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},Ct.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},Ct.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},Ct.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},Ct.prototype.loadRTLTextPlugin=function(e,r,n){try{t.plugin.isLoaded()||(this.self.importScripts(r),n(t.plugin.isLoaded()?null:new Error("RTL Text Plugin failed to import scripts from "+r)))}catch(t){n(t.toString())}},Ct.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},Ct.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var a={send:function(e,r,a){n.actor.send(e,r,a,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](a,this.getLayerIndex(t))}return this.workerSources[t][e][r]},Ct.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new f),this.demWorkerSources[t][e]},Ct.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},"undefined"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new Ct(t.window)),Ct}),n(0,function(t){var e=t.createCommonjsModule(function(t){function e(t){return!!("undefined"!=typeof window&&"undefined"!=typeof document&&Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray&&Function.prototype&&Function.prototype.bind&&Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions&&"JSON"in window&&"parse"in JSON&&"stringify"in JSON&&function(){if(!("Worker"in window&&"Blob"in window&&"URL"in window))return!1;var t,e,r=new Blob([""],{type:"text/javascript"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()&&"Uint8ClampedArray"in window&&ArrayBuffer.isView&&function(t){return void 0===r[t]&&(r[t]=function(t){var r=document.createElement("canvas"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext("webgl",n)||r.probablySupportsContext("experimental-webgl",n):r.supportsContext?r.supportsContext("webgl",n)||r.supportsContext("experimental-webgl",n):r.getContext("webgl",n)||r.getContext("experimental-webgl",n)}(t)),r[t]}(t&&t.failIfMajorPerformanceCaveat))}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e);var r={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",c,c),t.window.removeEventListener("test",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener("click",u,!0),t.window.setTimeout(function(){t.window.removeEventListener("click",u,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect(),a=t.window.TouchEvent&&r instanceof t.window.TouchEvent?r.touches[0]:r;return new t.Point(a.clientX-n.left-e.clientLeft,a.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),a=[],i="touchend"===r.type?r.changedTouches:r.touches,o=0;o<i.length;o++)a.push(new t.Point(i[o].clientX-n.left-e.clientLeft,i[o].clientY-n.top-e.clientTop));return a},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf("MAC")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],a=n.ids,i=n.callback;this._notify(a,i)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this.images[t]=e},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,a=t;n<a.length;n+=1){var i=a[n];this.images[i]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a];this.images[o]||this.fire(new t.Event("styleimagemissing",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image "'+o+'" could not be loaded. Please make sure you have added the image with map.addImage() or a "sprite" property in your style. You can provide missing images by listening for the "styleimagemissing" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var a={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new t.ImagePosition(a,n);this.patterns[e]={bin:a,position:i}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),a=n.w,i=n.h,o=this.atlasImage;for(var s in o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=v,d=v,g=1e20;function v(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||"sans-serif",this.fontWeight=i||"normal",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement("canvas"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext("2d"),this.ctx.font=this.fontWeight+" "+this.fontSize+"px "+this.fontFamily,this.ctx.textBaseline="middle",this.ctx.fillStyle="black",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf("Gecko/")>=0?1.2:1))}function m(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}v.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(m(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),m(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var i=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(i/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1){var l=s[o];a.push({stack:i,id:l})}t.asyncAll(a,function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e)for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]})),l.push(function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})})}}else e(null,{stack:r,id:a,glyph:o})},function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}})},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar["CJK Unified Ideographs"](e)||t.isChar["Hangul Syllables"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o="400";/bold/i.test(r)?o="900":/medium/i.test(r)?o="500":/light/i.test(r)&&(o="200"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace("{fontstack}",e).replace("{range}",o+"-"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}})},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var a=e[n];t.endsWith(n,"-transition")?this._transitionable.setTransition(n.slice(0,-"-transition".length),a):this._transitionable.setValue(n,a)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}};k.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},k.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce("LineAtlas out of space"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];for(var s=this.width/i,l=s/2,c=e.length%2==1,u=-n;u<=n;u++)for(var h=this.nextRow+n+u,f=this.width*h,p=c?-e[e.length-1]:0,d=e[0],g=1,v=0;v<this.width;v++){for(;d<v/s;)p=d,d+=e[g],c&&g===e.length-1&&(d+=e[0]),g++;var m=Math.abs(v-p*s),y=Math.abs(v-d*s),x=Math.min(m,y),b=g%2==1,_=void 0;if(r){var w=n?u/n*(l+1):0;if(b){var k=l-Math.abs(w);_=Math.sqrt(x*x+k*k)}else _=l-Math.sqrt(x*x+w*w)}else _=(b?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,_+128))}var T={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,T},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.RGBA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,this.width,this.height,0,e.RGBA,e.UNSIGNED_BYTE,this.data))};var T=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=a[i],s=new e.Actor(o,n,this.id);s.name="Worker "+i,this.actors.push(s)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds","scheme","tileSize","encoding"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),e.url&&(o.tiles=r.canonicalizeTileset(o,e.url)),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame(function(){return a(null,e)})}T.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},T.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},T.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},T.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,this.type="vector",this.minzoom=0,this.maxzoom=22,this.scheme="xyz",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,["url","scheme","tileSize"])),this._options=t.extend({type:"vector"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error("vector tile sources must have a tileSize of 512");this.setEventedParent(i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,null),a={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&"expired"!==e.state?"loading"===e.state?e.reloadCallback=r:e.request=e.actor.send("reloadTile",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send("loadTile",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),this.type="raster",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme="xyz",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:"raster"},n),t.extend(this,t.pick(n,["url","scheme","tileSize"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),function(a,i){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(a)e.state="errored",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state="loaded",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}})},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),this.type="raster-dem",this.maxzoom=22,this._options=t.extend({type:"raster-dem"},n),this.encoding=n.encoding||"mapbox"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:"raster-dem",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var i=t.browser.getImageData(a),o={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:i,encoding:this.encoding};e.actor&&"expired"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send("loadDEMTile",o,function(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),a=(r.x-1+n)%n,i=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state="unloaded",t.actor&&t.actor.send("removeDEMTile",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.type="geojson",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=a.getActor(),this.setEventedParent(i),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution);var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}}),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),a=this._data;"string"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+".loadData",n,function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.resourceTiming[r.id].slice(0)),r.actor.send(r.type+".coalesce",{source:n.source},null),e(t))})},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,a=e.actor?"reloadTile":"loadTile";e.actor=this.actor;var i={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};e.request=this.actor.send(a,i,function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,"reloadTile"===a),r(null))})},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send("removeTile",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send("removeSource",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=function(e){function r(t,r,n,a){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type="image",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(a),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event("dataloading",{dataType:"source"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),function(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,e&&(n.coordinates=e),r&&r(),n._finishLoading())})},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,function(){e.texture=null}),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,a=-1/0,i=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=a-r,u=i-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+a)/2*p),Math.floor((n+i)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map(function(t){return r.tileID.getTilePoint(t)._round()});return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state="errored",e(null))},r.prototype.serialize=function(){return{type:"image",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type="video",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1){var i=a[n];this.urls.push(this.map._requestManager.transformRequest(i,t.ResourceType.Source).url)}t.getVideo(this.urls,function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener("playing",function(){e.map.triggerRepaint()}),e.map&&e.video.play(),e._finishLoading())})},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError("Playback for this video can be set only between the "+r.start(0)+" and "+r.end(0)+"-second mark."))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];"loaded"!==a.state&&(a.state="loaded",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"video",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(P),z=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some(function(t){return!Array.isArray(t)||2!==t.length||t.some(function(t){return"number"!=typeof t})})||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"coordinates" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "coordinates"'))),n.animate&&"boolean"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'optional "animate" property must be a boolean value'))),n.canvas?"string"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'"canvas" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError("sources."+r,null,'missing required property "canvas"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error("Canvas dimensions cannot be less than or equal to zero."))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var a in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var i=this.tiles[a];"loaded"!==i.state&&(i.state="loaded",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:"canvas",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(P),I={vector:S,raster:E,"raster-dem":L,geojson:C,video:O,image:P,canvas:z},D=function(e,r,n,a){var i=new I[r.type](e,r,n,a);if(i.id!==e)throw new Error("Expected Source id to be "+e+" instead of "+i.id);return t.bindAll(["load","abort","unload","serialize","prepare"],i),i};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,a){var i=function(t,e,r){if(t)for(var n=0,a=t;n<a.length;n+=1){var i=e[a[n]];if(i&&i.source===r&&"fill-extrusion"===i.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(n&&n.layers,e,t.id),o=a.maxPitchScaleFactor(),s=t.tilesIn(r,o,i);s.sort(B);for(var l=[],c=0,u=s;c<u.length;c+=1){var 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e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t,e,r){this.context=t,this.width=e,this.height=r;var n=t.gl,a=this.framebuffer=n.createFramebuffer();this.colorAttachment=new wt(t,a),this.depthAttachment=new kt(t,a)};Tt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();e&&t.deleteTexture(e);var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r),t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension("OES_vertex_array_object"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new vt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension("EXT_texture_filter_anisotropic")||t.getExtension("MOZ_EXT_texture_filter_anisotropic")||t.getExtension("WEBKIT_EXT_texture_filter_anisotropic"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension("OES_texture_half_float"),this.extTextureHalfFloat&&t.getExtension("OES_texture_half_float_linear")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new U(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Lt.prototype.createFramebuffer=function(t,e){return new Tt(this,t,e)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on("data",function(t){"source"===t.dataType&&"metadata"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&"source"===t.dataType&&"content"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))}),this.on("error",function(){i._sourceErrored=!0}),this._source=D(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if("loaded"!==e.state&&"errored"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,function(){})},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,function(){})},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return Object.keys(this._tiles).map(Number).sort(Pt)},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(+a,e)&&n.push(+a);return e?n.sort(function(e,n){var a=r._tiles[e].tileID,i=r._tiles[n].tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x}):n.sort(Pt)},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)"errored"!==this._tiles[t].state&&this._reloadTile(t,"reloading")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&("loading"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,a){if(a)return e.state="errored",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),"expired"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),"raster-dem"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event("data",{dataType:"source",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype.getZoom=function(t){return t.zoom+t.scaleZoom(t.tileSize/this._source.tileSize)},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){for(var r=t.overscaledZ-1;r>=e;r--){var n=t.scaledTo(r);if(!n)return;var a=String(n.key),i=this._tiles[a];if(i&&i.hasData())return i;if(this._cache.has(n))return this._cache.get(n)}},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n="number"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var a in this._tiles){var i=this._tiles[a];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+r),n[i.tileID.key]=i}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=e.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)}):(a=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(a=a.filter(function(t){return n._source.hasTile(t)}))):a=[];var i=(this._source.roundZoom?Math.round:Math.floor)(this.getZoom(e)),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var v=this.findLoadedParent(d,o);v&&(this._addTile(v.tileID),c[v.tileID.key]=v.tileID),u[p]=d}}for(var m in this._retainLoadedChildren(u,i,s,l),c)l[m]||(this._coveredTiles[m]=!0,l[m]=c[m])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var v=d.children(this._source.maxzoom)[0],m=this.getTile(v);if(m&&m.hasData()){n[v.key]=v;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event("dataloading",{tile:r,coord:r.tileID,dataType:"source"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout(function(){r._reloadTile(t,"expired"),delete r._timers[t]},n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&"reloading"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map(function(t){return o.pointCoordinate(t)}),c=s.map(function(t){return o.pointCoordinate(t)}),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,v=c;g<v.length;g+=1){var m=v[g];h=Math.min(h,m.x),f=Math.min(f,m.y),p=Math.max(p,m.x),d=Math.max(d,m.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),v=r*n.queryPadding*t.EXTENT/n.tileSize/g,m=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(m[0].x-v<t.EXTENT&&m[0].y-v<t.EXTENT&&m[1].x+v>=0&&m[1].y+v>=0){var y=l.map(function(t){return s.getTilePoint(t)}),x=c.map(function(t){return s.getTilePoint(t)});i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map(function(t){return e._tiles[t].tileID}),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ot(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||"_geojsonTileLayer",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||"_geojsonTileLayer",this._state.getState(t,e)},r}(t.Evented);function Pt(t,e){return t%32-e%32||e-t}function Ot(t){return"raster"===t||"image"===t||"video"===t}function zt(){return new t.window.Worker($n.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var It=function(){this.active={}};It.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<It.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},It.prototype.release=function(t){delete this.active[t],0===Object.keys(this.active).length&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)};var Dt,Rt=Math.floor(t.browser.hardwareConcurrency/2);function Ft(e,r){var n={};for(var a in e)"ref"!==a&&(n[a]=e[a]);return t.refProperties.forEach(function(t){t in r&&(n[t]=r[t])}),n}function Bt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)"ref"in t[n]&&(t[n]=Ft(t[n],e[t[n].ref]));return t}It.workerCount=Math.max(Math.min(Rt,6),1);var Nt={setStyle:"setStyle",addLayer:"addLayer",removeLayer:"removeLayer",setPaintProperty:"setPaintProperty",setLayoutProperty:"setLayoutProperty",setFilter:"setFilter",addSource:"addSource",removeSource:"removeSource",setGeoJSONSourceData:"setGeoJSONSourceData",setLayerZoomRange:"setLayerZoomRange",setLayerProperty:"setLayerProperty",setCenter:"setCenter",setZoom:"setZoom",setBearing:"setBearing",setPitch:"setPitch",setSprite:"setSprite",setGlyphs:"setGlyphs",setTransition:"setTransition",setLight:"setLight"};function jt(t,e,r){r.push({command:Nt.addSource,args:[t,e[t]]})}function Vt(t,e,r){e.push({command:Nt.removeSource,args:[t]}),r[t]=!0}function Ut(t,e,r,n){Vt(t,r,n),jt(t,e,r)}function qt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&"data"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&"data"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Ht(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Gt(t){return t.id}function Yt(t,e){return t[e.id]=e,t}var Wt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Xt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Zt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function Jt(e,r){var n=[e.x,e.y,0,1];oe(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function Kt(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function Qt(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,v=!1,m=0;m<d.length;m++){var y=d.get(m);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!v)ie(y.numGlyphs,f);else{v=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),Kt(x,h)){var b=.5+x[3]/n.transform.cameraToCenterDistance*.5,_=t.evaluateSizeForFeature(c,u,y),w=s?_*b:_/b,k=new t.Point(y.anchorX,y.anchorY),T=Jt(k,i).point,M={},A=ee(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g);v=A.useVertical,(A.notEnoughRoom||v||A.needsFlipping&&ee(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g).notEnoughRoom)&&ie(y.numGlyphs,f)}else ie(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function $t(t,e,r,n,a,i,o,s,l,c,u,h){var f=s.glyphStartIndex+s.numGlyphs,p=s.lineStartIndex,d=s.lineStartIndex+s.lineLength,g=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),m=ne(t*g,r,n,a,i,o,s.segment,p,d,l,c,u,h);if(!m)return null;var y=ne(t*v,r,n,a,i,o,s.segment,p,d,l,c,u,h);return y?{first:m,last:y}:null}function te(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ee(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,v=r/24,m=e.lineOffsetX*v,y=e.lineOffsetY*v;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=$t(v,l,m,y,n,h,f,e,c,o,p,!1);if(!w)return{notEnoughRoom:!0};var k=Jt(w.first.point,s).point,T=Jt(w.last.point,s).point;if(a&&!n){var M=te(e.writingMode,k,T,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(ne(v*l.getoffsetX(A),m,y,n,h,f,e.segment,b,_,c,o,p,!1));g.push(w.last)}else{if(a&&!n){var S=Jt(f,i).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=Jt(L,i),P=C.signedDistanceFromCamera>0?C.point:re(f,L,S,1,i),O=te(e.writingMode,S,P,d);if(O)return O}var z=ne(v*l.getoffsetX(e.glyphStartIndex),m,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p,!1);if(!z)return{notEnoughRoom:!0};g=[z]}for(var I=0,D=g;I<D.length;I+=1){var R=D[I];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function re(t,e,r,n,a){var i=Jt(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function ne(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=a?e-r:e+r,g=d>0?1:-1,v=0;a&&(g*=-1,v=Math.PI),g<0&&(v+=Math.PI);for(var m=g>0?l+s:l+s+1,y=m,x=i,b=i,_=0,w=0,k=Math.abs(d);_+w<=k;){if((m+=g)<l||m>=c)return null;if(b=x,void 0===(x=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),M=Jt(T,h);if(M.signedDistanceFromCamera>0)x=f[m]=M.point;else{var A=m-g;x=re(0===_?o:new t.Point(u.getx(A),u.gety(A)),T,b,k-_+1,h)}}_+=w,w=b.dist(x)}var S=(k-_)/w,E=x.sub(b),L=E.mult(S)._add(b);return L._add(E._unit()._perp()._mult(n*g)),{point:L,angle:v+Math.atan2(x.y-b.y,x.x-b.x),tileDistance:p?{prevTileDistance:m-g===y?0:u.gettileUnitDistanceFromAnchor(m-g),lastSegmentViewportDistance:k-_}:null}}Wt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Wt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Wt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Wt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Wt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Wt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}var f={hitTest:a,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,i),a?o.length>0:o},Wt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(i,s,o,l,this._queryCellCircle,c,u,a),n?c.length>0:c},Wt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Wt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Wt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Wt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var v=this.circles,m=0,y=g;m<y.length;m+=1){var x=y[m];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(v[b],v[b+1],v[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=v[b],w=v[b+1],k=v[b+2];i.push({key:this.circleKeys[x],x1:_-k,y1:w-k,x2:_+k,y2:w+k})}}}},Wt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var v=this.circleCells[a];if(null!==v)for(var m=this.circles,y=0,x=v;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(m[_],m[_+1],m[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Wt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(a.call(this,t,e,r,n,d,i,o,s))return}},Wt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Wt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Wt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Wt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var ae=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ie(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ae,3*n)}}function oe(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var se=function(t,e,r){void 0===e&&(e=new Wt(t.width+200,t.height+200,25)),void 0===r&&(r=new Wt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function le(t,e,r){t[e+4]=r?1:0}function ce(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}se.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},se.prototype.approximateTileDistance=function(t,e,r,n,a){var i=a?1:n/this.pitchfactor,o=t.lastSegmentViewportDistance*r;return t.prevTileDistance+o+(i-1)*o*Math.abs(Math.sin(e))},se.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=this.projectAnchor(c,i.anchorX,i.anchorY),v=l/24,m=i.lineOffsetX*l,y=i.lineOffsetY*l,x=new t.Point(i.anchorX,i.anchorY),b=$t(v,s,m,y,!1,Jt(x,u).point,x,i,o,u,{},!0),_=!1,w=!1,k=!0,T=g.perspectiveRatio*a,M=1/(a*n),A=0,S=0;b&&(A=this.approximateTileDistance(b.first.tileDistance,b.first.angle,M,g.cameraDistance,f),S=this.approximateTileDistance(b.last.tileDistance,b.last.angle,M,g.cameraDistance,f));for(var E=0;E<e.length;E+=5){var L=e[E],C=e[E+1],P=e[E+2],O=e[E+3];if(!b||O<-A||O>S)le(e,E,!1);else{var z=this.projectPoint(c,L,C),I=P*T;if(d.length>0){var D=z.x-d[d.length-4],R=z.y-d[d.length-3];if(I*I*2>D*D+R*R&&E+8<e.length){var F=e[E+8];if(F>-A&&F<S){le(e,E,!1);continue}}}var B=E/5;d.push(z.x,z.y,I,B),le(e,E,!0);var N=z.x-I,j=z.y-I,V=z.x+I,U=z.y+I;if(k=k&&this.isOffscreen(N,j,V,U),w=w||this.isInsideGrid(N,j,V,U),!r&&this.grid.hitTestCircle(z.x,z.y,I,p)){if(!h)return{circles:[],offscreen:!1};_=!0}}}return{circles:_||!w?[]:d,offscreen:k}},se.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],v=g.key;if(void 0===h[v.bucketInstanceId]&&(h[v.bucketInstanceId]={}),!h[v.bucketInstanceId][v.featureIndex]){var m=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,m)&&(h[v.bucketInstanceId][v.featureIndex]=!0,void 0===f[v.bucketInstanceId]&&(f[v.bucketInstanceId]=[]),f[v.bucketInstanceId].push(v.featureIndex))}}return f},se.prototype.insertCollisionBox=function(t,e,r,n,a){var i={bucketInstanceId:r,featureIndex:n,collisionGroupID:a};(e?this.ignoredGrid:this.grid).insert(i,t[0],t[1],t[2],t[3])},se.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},se.prototype.projectAnchor=function(t,e,r){var n=[e,r,0,1];return oe(n,n,t),{perspectiveRatio:.5+this.transform.cameraToCenterDistance/n[3]*.5,cameraDistance:n[3]}},se.prototype.projectPoint=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100)},se.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},se.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},se.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary};var ue=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ue.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var he=function(t,e,r,n,a){this.text=new ue(t?t.text:null,e,r,a),this.icon=new ue(t?t.icon:null,e,n,a)};he.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var fe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},pe=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},de=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function ge(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateRadialOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}de.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var ve=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new se(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new de(r),this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function me(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}ve.prototype.placeLayerTile=function(e,r,n,a){var i=r.getBucket(e),o=r.latestFeatureIndex;if(i&&o&&e.id===i.layerIds[0]){var s=r.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-r.tileID.overscaledZ),u=r.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(r.tileID.toUnwrapped()),f=Xt(h,"map"===l.get("text-pitch-alignment"),"map"===l.get("text-rotation-alignment"),this.transform,ce(r,1,this.transform.zoom)),p=Xt(h,"map"===l.get("icon-pitch-alignment"),"map"===l.get("icon-rotation-alignment"),this.transform,ce(r,1,this.transform.zoom));this.retainedQueryData[i.bucketInstanceId]=new pe(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,r.tileID),this.placeLayerBucket(i,h,f,p,c,u,n,r.holdingForFade(),a,s)}},ve.prototype.attemptAnchorPlacement=function(e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=ge(e,n,a,i,o),y=this.collisionIndex.placeCollisionBox(function(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}(r,m.x,m.y,s,l,this.transform.angle),f,c,u,h.predicate);if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(v=this.prevPlacement.variableOffsets[p.crossTileID].anchor),this.variableOffsets[p.crossTileID]={radialOffset:i,width:n,height:a,anchor:e,textBoxScale:o,prevAnchor:v},this.markUsedJustification(d,e,p,g),d.allowVerticalPlacement&&(this.markUsedOrientation(d,g,p),this.placedOrientations[p.crossTileID]=g),y},ve.prototype.placeLayerBucket=function(e,r,n,a,i,o,s,l,c,u){var h=this,f=e.layers[0].layout,p=t.evaluateSizeForZoom(e.textSizeData,this.transform.zoom),d=f.get("text-optional"),g=f.get("icon-optional"),v=f.get("text-allow-overlap"),m=f.get("icon-allow-overlap"),y=v&&(m||!e.hasIconData()||g),x=m&&(v||!e.hasTextData()||d),b=this.collisionGroups.get(e.sourceID),_="map"===f.get("text-rotation-alignment"),w="map"===f.get("text-pitch-alignment"),k="viewport-y"===f.get("symbol-z-order");!e.collisionArrays&&u&&e.deserializeCollisionBoxes(u);var T=function(a,u){if(!c[a.crossTileID])if(l)h.placements[a.crossTileID]=new fe(!1,!1,!1);else{var m,k=!1,T=!1,M=!0,A={box:null,offscreen:null},S={box:null,offscreen:null},E=null,L=null,C=0,P=0,O=0;u.textFeatureIndex&&(C=u.textFeatureIndex),u.verticalTextFeatureIndex&&(P=u.verticalTextFeatureIndex);var z=u.textBox;if(z){var I=function(r){var n=t.WritingMode.horizontal;if(e.allowVerticalPlacement&&!r&&h.prevPlacement){var i=h.prevPlacement.placedOrientations[a.crossTileID];i&&(h.placedOrientations[a.crossTileID]=i,n=i,h.markUsedOrientation(e,n,a))}return n},D=function(r,n){if(e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&u.verticalTextBox)for(var i=0,o=e.writingModes;i<o.length&&(o[i]===t.WritingMode.vertical?(A=n(),S=A):A=r(),!(A&&A.box&&A.box.length));i+=1);else A=r()};if(f.get("text-variable-anchor")){var R=f.get("text-variable-anchor");if(h.prevPlacement&&h.prevPlacement.variableOffsets[a.crossTileID]){var F=h.prevPlacement.variableOffsets[a.crossTileID];R.indexOf(F.anchor)>0&&(R=R.filter(function(t){return t!==F.anchor})).unshift(F.anchor)}var B=function(t,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,l=a.textBoxScale,c={box:[],offscreen:!1},u=v?2*R.length:R.length,f=0;f<u;++f){var p=R[f%R.length],d=f>=R.length;if((c=h.attemptAnchorPlacement(p,t,i,s,a.radialTextOffset,l,_,w,o,r,b,d,a,e,n))&&c.box&&c.box.length){k=!0;break}}return c};D(function(){return B(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox,n=A&&A.box&&A.box.length;return e.allowVerticalPlacement&&!n&&a.numVerticalGlyphVertices>0&&r?B(r,t.WritingMode.vertical):{box:null,offscreen:null}}),A&&(k=A.box,M=A.offscreen);var N=I(A&&A.box);if(!k&&h.prevPlacement){var j=h.prevPlacement.variableOffsets[a.crossTileID];j&&(h.variableOffsets[a.crossTileID]=j,h.markUsedJustification(e,j.anchor,a,N))}}else{var V=function(t,n){var i=h.collisionIndex.placeCollisionBox(t,f.get("text-allow-overlap"),o,r,b.predicate);return i&&i.box&&i.box.length&&(h.markUsedOrientation(e,n,a),h.placedOrientations[a.crossTileID]=n),i};D(function(){return V(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox;return e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&r?V(r,t.WritingMode.vertical):{box:null,offscreen:null}}),I(A&&A.box&&A.box.length)}}k=(m=A)&&m.box&&m.box.length>0,M=m&&m.offscreen;var U=u.textCircles;if(U){var q=e.text.placedSymbolArray.get(a.centerJustifiedTextSymbolIndex),H=t.evaluateSizeForFeature(e.textSizeData,p,q);E=h.collisionIndex.placeCollisionCircles(U,f.get("text-allow-overlap"),i,o,q,e.lineVertexArray,e.glyphOffsetArray,H,r,n,s,w,b.predicate),k=f.get("text-allow-overlap")||E.circles.length>0,M=M&&E.offscreen}u.iconFeatureIndex&&(O=u.iconFeatureIndex),u.iconBox&&(T=(L=h.collisionIndex.placeCollisionBox(u.iconBox,f.get("icon-allow-overlap"),o,r,b.predicate)).box.length>0,M=M&&L.offscreen);var G=d||0===a.numHorizontalGlyphVertices&&0===a.numVerticalGlyphVertices,Y=g||0===a.numIconVertices;G||Y?Y?G||(T=T&&k):k=T&&k:T=k=T&&k,k&&m&&m.box&&(S&&S.box&&P?h.collisionIndex.insertCollisionBox(m.box,f.get("text-ignore-placement"),e.bucketInstanceId,P,b.ID):h.collisionIndex.insertCollisionBox(m.box,f.get("text-ignore-placement"),e.bucketInstanceId,C,b.ID)),T&&L&&h.collisionIndex.insertCollisionBox(L.box,f.get("icon-ignore-placement"),e.bucketInstanceId,O,b.ID),k&&E&&h.collisionIndex.insertCollisionCircles(E.circles,f.get("text-ignore-placement"),e.bucketInstanceId,C,b.ID),h.placements[a.crossTileID]=new fe(k||y,T||x,M||e.justReloaded),c[a.crossTileID]=!0}};if(k)for(var M=e.getSortedSymbolIndexes(this.transform.angle),A=M.length-1;A>=0;--A){var S=M[A];T(e.symbolInstances.get(S),e.collisionArrays[S])}else for(var E=0;E<e.symbolInstances.length;++E)T(e.symbolInstances.get(E),e.collisionArrays[E]);e.justReloaded=!1},ve.prototype.markUsedJustification=function(e,r,n,a){var i,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=i>=0&&c!==i?0:n.crossTileID)}},ve.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=a}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},ve.prototype.commit=function(t){this.commitTime=t;var e=this.prevPlacement,r=!1,n=e&&0!==this.fadeDuration?(this.commitTime-e.commitTime)/this.fadeDuration:1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new he(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new he(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new he(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},ve.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},ve.prototype.updateBucketOpacities=function(e,r,n){e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexArray.clear(),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexArray.clear();var a=e.layers[0].layout,i=new he(null,0,!1,!1,!0),o=a.get("text-allow-overlap"),s=a.get("icon-allow-overlap"),l=a.get("text-variable-anchor"),c="map"===a.get("text-rotation-alignment"),u="map"===a.get("text-pitch-alignment"),h=new he(null,0,o&&(s||!e.hasIconData()||a.get("icon-optional")),s&&(o||!e.hasTextData()||a.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasCollisionBoxData()||e.hasCollisionCircleData())&&e.deserializeCollisionBoxes(n);for(var f=0;f<e.symbolInstances.length;f++){var p=e.symbolInstances.get(f),d=p.numHorizontalGlyphVertices,g=p.numVerticalGlyphVertices,v=p.crossTileID,m=r[v],y=this.opacities[v];m?y=i:y||(y=h,this.opacities[v]=y),r[v]=!0;var x=d>0||g>0,b=p.numIconVertices>0;if(x){for(var _=Me(y.text),w=(d+g)/4,k=0;k<w;k++)e.text.opacityVertexArray.emplaceBack(_);var T=y.text.isHidden()?1:0,M=this.placedOrientations[p.crossTileID],A=M===t.WritingMode.horizontal||M===t.WritingMode.horizontalOnly?1:0,S=M===t.WritingMode.vertical?1:0;[p.rightJustifiedTextSymbolIndex,p.centerJustifiedTextSymbolIndex,p.leftJustifiedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=T||S)}),p.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(p.verticalPlacedTextSymbolIndex).hidden=T||A);var E=this.variableOffsets[p.crossTileID];E&&this.markUsedJustification(e,E.anchor,p,M);var L=this.placedOrientations[p.crossTileID];L&&(this.markUsedJustification(e,"left",p,L),this.markUsedOrientation(e,L,p))}if(b){for(var C=Me(y.icon),P=0;P<p.numIconVertices/4;P++)e.icon.opacityVertexArray.emplaceBack(C);e.icon.placedSymbolArray.get(f).hidden=y.icon.isHidden()}if(e.hasCollisionBoxData()||e.hasCollisionCircleData()){var O=e.collisionArrays[f];if(O){if(O.textBox){var z=new t.Point(0,0),I=!0;if(l){var D=this.variableOffsets[v];D?(z=ge(D.anchor,D.width,D.height,D.radialOffset,D.textBoxScale),c&&z._rotate(u?this.transform.angle:-this.transform.angle)):I=!1}me(e.collisionBox.collisionVertexArray,y.text.placed,!I,z.x,z.y)}O.iconBox&&me(e.collisionBox.collisionVertexArray,y.icon.placed,!1);var R=O.textCircles;if(R&&e.hasCollisionCircleData())for(var F=0;F<R.length;F+=5){var B=m||0===R[F+4];me(e.collisionCircle.collisionVertexArray,y.text.placed,B)}}}}e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexBuffer&&e.collisionBox.collisionVertexBuffer.updateData(e.collisionBox.collisionVertexArray),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexBuffer&&e.collisionCircle.collisionVertexBuffer.updateData(e.collisionCircle.collisionVertexArray)},ve.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration},ve.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ve.prototype.stillRecent=function(t){return this.commitTime+this.fadeDuration>t},ve.prototype.setStale=function(){this.stale=!0};var ye=Math.pow(2,25),xe=Math.pow(2,24),be=Math.pow(2,17),_e=Math.pow(2,16),we=Math.pow(2,9),ke=Math.pow(2,8),Te=Math.pow(2,1);function Me(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ye+e*xe+r*be+e*_e+r*we+e*ke+r*Te+e}var Ae=function(){this._currentTileIndex=0,this._seenCrossTileIDs={}};Ae.prototype.continuePlacement=function(t,e,r,n,a){for(;this._currentTileIndex<t.length;){var i=t[this._currentTileIndex];if(e.placeLayerTile(n,i,r,this._seenCrossTileIDs),this._currentTileIndex++,a())return!0}};var Se=function(t,e,r,n,a,i,o){this.placement=new ve(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Se.prototype.isDone=function(){return this._done},Se.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if("symbol"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ae),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Se.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Ee=512/t.EXTENT/2,Le=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};Le.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,a=Ee/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*a),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*a)}},Le.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Ce=function(){this.maxCrossTileID=0};Ce.prototype.generate=function(){return++this.maxCrossTileID};var Pe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Pe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Pe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Le(t,e.symbolInstances,e.bucketInstanceId),!0},Pe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1){var i=a[n];delete this.usedCrossTileIDs[t][i.crossTileID]}},Pe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Oe=function(){this.layerIndexes={},this.crossTileIDs=new Ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Oe.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Pe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Oe.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach(function(t){e[t]=!0}),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var ze=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return"source.canvas"!==t.identifier}))},Ie=t.pick(Nt,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),De=t.pick(Nt,["setCenter","setZoom","setBearing","setPitch"]),Re=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new T((Dt||(Dt=new It),Dt),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Oe,this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginAvailability(function(t){for(var e in o.dispatcher.broadcast("loadRTLTextPlugin",t.pluginURL,t.completionCallback),o.sourceCaches)o.sourceCaches[e].reload()}),this.on("data",function(t){if("source"===t.dataType&&"metadata"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}})}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"}));var a="boolean"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)})},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event("dataloading",{dataType:"style"})),this._request=t.browser.frame(function(){n._request=null,n._load(e,!1!==r.validate)})},r.prototype._load=function(e,r){var n=this;if(!r||!ze(this,t.validateStyle(e))){for(var a in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(a,e.sources[a],{validate:!1});e.sprite?this._spriteRequest=function(e,r,n){var a,i,o,s=t.browser.devicePixelRatio>1?"@2x":"",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,".json"),t.ResourceType.SpriteJSON),function(t,e){l=null,o||(o=t,a=e,u())}),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,".png"),t.ResourceType.SpriteImage),function(t,e){c=null,o||(o=t,i=e,u())});function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,g,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:g,pixelRatio:d,sdf:p}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e.sprite,this.map._requestManager,function(e,r){if(n._spriteRequest=null,e)n.fire(new t.ErrorEvent(e));else if(r)for(var a in r)n.imageManager.addImage(a,r[a]);n.imageManager.setLoaded(!0),n.fire(new t.Event("data",{dataType:"style"}))}):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Bt(this.stylesheet.layers);this._order=i.map(function(t){return t.id}),this._layers={};for(var o=0,s=i;o<s.length;o+=1){var l=s[o];(l=t.createStyleLayer(l)).setEventedParent(this,{layer:{id:l.id}}),this._layers[l.id]=l}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();("geojson"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer "'+n+'" does not exist on source "'+a.id+'" as specified by style layer "'+e.id+'"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=n[r],i=this._layers[a];"custom"!==i.type&&e.push(i.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error("Style is not done loading")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];"reload"===o?this._reloadSource(i):"clear"===o&&this._clearSource(i)}for(var s in this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];f.recalculate(e),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast("updateLayers",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),ze(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Bt(e.layers);var n=function(e,r){if(!e)return[{command:Nt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Nt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Nt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Nt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Nt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Nt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Nt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Nt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Nt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Nt.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||Vt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||("geojson"===e[i].type&&"geojson"===r[i].type&&qt(e,r,i)?n.push({command:Nt.setGeoJSONSourceData,args:[i,r[i].data]}):Ut(i,r,n,a)):jt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach(function(t){a[t.source]?n.push({command:Nt.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Gt),f=r.map(Gt),p=e.reduce(Yt,{}),d=r.reduce(Yt,{}),g=h.slice(),v=Object.create(null);for(a=0,i=0;a<h.length;a++)o=h[a],d.hasOwnProperty(o)?i++:(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)o=f[f.length-1-a],g[g.length-1-a]!==o&&(p.hasOwnProperty(o)?(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,c=g[g.length-a],n.push({command:Nt.addLayer,args:[d[o],c]}),g.splice(g.length-a,0,o),v[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!v[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s["source-layer"],l["source-layer"])&&t.deepEqual(s.type,l.type)){for(u in Ht(s.layout,l.layout,n,o,null,Nt.setLayoutProperty),Ht(s.paint,l.paint,n,o,null,Nt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Nt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Nt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&"layout"!==u&&"paint"!==u&&"filter"!==u&&"metadata"!==u&&"minzoom"!==u&&"maxzoom"!==u&&(0===u.indexOf("paint.")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Nt.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Nt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Nt.setStyle,args:[r]}]}return n}(this.serialize(),e).filter(function(t){return!(t.command in De)});if(0===n.length)return!1;var a=n.filter(function(t){return!(t.command in Ie)});if(a.length>0)throw new Error("Unimplemented: "+a.map(function(t){return t.command}).join(", ")+".");return n.forEach(function(t){"setTransition"!==t.command&&r[t.command].apply(r,t.args)}),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error("An image with this name already exists.")));this.imageManager.addImage(e,r),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var a=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var i=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}}),i.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error("There is no source with this ID");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source "'+e+'" cannot be removed while layer "'+r+'" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event("data",{sourceDataType:"metadata",dataType:"source",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id "'+a+'" already exists on this map')));else{var i;if("custom"===e.type){if(ze(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if("object"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,"layers."+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}})}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.')));else{if(this._order.splice(o,0,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&"custom"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]="clear":(this._updatedSources[i.source]="reload",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id "'+r+'" does not exist on this map.'))):(this._order.splice(a,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be moved.")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be removed.")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot have zoom extent.")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,"layers."+a.id+".filter",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}else this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be filtered.")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style.")))},r.prototype.setPaintProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error("The layer '"+e+"' does not exist in the map's style and cannot be styled.")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=e.sourceLayer,i=this.sourceCaches[n],o=parseInt(e.id,10);if(void 0!==i){var s=i.getSource().type;"geojson"===s&&a?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==s||a?isNaN(o)||o<0?this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided and non-negative."))):i.setFeatureState(a,o,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o="vector"===i?e.sourceLayer:void 0,s=parseInt(e.id,10);"vector"!==i||o?void 0!==e.id&&isNaN(s)||s<0?this.fire(new t.ErrorEvent(new Error("The feature id parameter must be non-negative."))):r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):a.removeFeatureState(o,s,r):this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")))}else this.fire(new t.ErrorEvent(new Error("The source '"+n+"' does not exist in the map's style.")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,a=this.sourceCaches[r],i=parseInt(e.id,10);if(void 0!==a)if("vector"!==a.getSource().type||n){if(!(isNaN(i)||i<0))return a.getFeatureState(n,i);this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided and non-negative.")))}else this.fire(new t.ErrorEvent(new Error("The sourceLayer parameter must be provided for vector source types.")));else this.fire(new t.ErrorEvent(new Error("The source '"+r+"' does not exist in the map's style.")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,function(t){return t.serialize()}),layers:this._serializeLayers(this._order)},function(t){return void 0!==t})},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&(this._updatedSources[t.source]="reload",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return"fill-extrusion"===e._layers[t].type},n={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];a.push(f)}}}}a.sort(function(t,e){return e.intersectionZ-t.intersectionZ});for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var v=a.length-1;v>=0;v--){var m=a[v].feature;if(n[m.layer.id]<d)break;p.push(m),a.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var k=w[_];p.push(k.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,"queryRenderedFeatures.filter",r.filter,null,r);var a={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error("parameters.layers must be an Array."))),[];for(var i=0,o=r.layers;i<o.length;i+=1){var s=o[i],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error("The layer '"+s+"' does not exist in the map's style and cannot be queried for features."))),[];a[l.source]=!0}}var c=[];for(var u in this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i){for(var o={},s=a.queryRenderedSymbols(r),l=[],c=0,u=Object.keys(s).map(Number);c<u.length;c+=1){var h=u[c];l.push(i[h])}l.sort(B);for(var f=function(){var e=d[p],r=e.featureIndex.lookupSymbolFeatures(s[e.bucketInstanceId],e.bucketIndex,e.sourceLayerIndex,n.filter,n.layers,t);for(var a in r){var i=o[a]=o[a]||[],l=r[a];l.sort(function(t,r){var n=e.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(r.featureIndex)-a}return r.featureIndex-t.featureIndex});for(var c=0,u=l;c<u.length;c+=1){var h=u[c];i.push(h)}}},p=0,d=l;p<d.length;p+=1)f();var g=function(r){o[r].forEach(function(n){var a=n.feature,i=t[r],o=e[i.source].getFeatureState(a.layer["source-layer"],a.id);a.source=a.layer.source,a.layer["source-layer"]&&(a.sourceLayer=a.layer["source-layer"]),a.state=o})};for(var v in o)g(v);return o}(this._layers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,"querySourceFeatures.filter",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called "'+t+'" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast("loadWorkerSource",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&ze(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off("pluginAvailable",this._rtlTextPluginCallback),this.sourceCaches)this.sourceCaches[e].clearTiles();this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,a){for(var i=!1,o=!1,s={},l=0,c=this._order;l<c.length;l+=1){var u=c[l],h=this._layers[u];if("symbol"===h.type){if(!s[h.source]){var f=this.sourceCaches[h.source];s[h.source]=f.getRenderableIds(!0).map(function(t){return f.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var p=this.crossTileSymbolIndex.addLayer(h,s[h.source],e.center.lng);i=i||p}}this.crossTileSymbolIndex.pruneUnusedLayers(this._order);var d=this._layerOrderChanged||0===n;if((d||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now()))&&(this.pauseablePlacement=new Se(e,this._order,d,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,s),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),o=!0),i&&this.pauseablePlacement.placement.setStale()),o||i)for(var g=0,v=this._order;g<v.length;g+=1){var m=v[g],y=this._layers[m];"symbol"===y.type&&this.placement.updateLayerOpacities(y,s[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Re.getSourceType=function(t){return I[t]},Re.setSourceType=function(t,e){I[t]=e},Re.registerForPluginAvailability=t.registerForPluginAvailability;var Fe=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Be=cr("#ifdef GL_ES\nprecision mediump float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif","#ifdef GL_ES\nprecision highp float;\n#else\n#if !defined(lowp)\n#define lowp\n#endif\n#if !defined(mediump)\n#define mediump\n#endif\n#if !defined(highp)\n#define highp\n#endif\n#endif\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}"),Ne=cr("uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),je=cr("uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}"),Ve=cr("varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define mediump float radius\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define highp vec4 stroke_color\n#pragma mapbox: define mediump float stroke_width\n#pragma mapbox: define lowp float stroke_opacity\nvoid main(void) {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize mediump float radius\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize highp vec4 stroke_color\n#pragma mapbox: initialize mediump float stroke_width\n#pragma mapbox: initialize lowp float stroke_opacity\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}"),Ue=cr("void main() {gl_FragColor=vec4(1.0);}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),qe=cr("uniform highp float u_intensity;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#define GAUSS_COEF 0.3989422804014327\nvoid main() {\n#pragma mapbox: initialize highp float weight\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\n#pragma mapbox: define highp float weight\n#pragma mapbox: define mediump float radius\nconst highp float ZERO=1.0/255.0/16.0;\n#define GAUSS_COEF 0.3989422804014327\nvoid main(void) {\n#pragma mapbox: initialize highp float weight\n#pragma mapbox: initialize mediump float radius\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}"),He=cr("uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(0.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}"),Ge=cr("varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}"),Ye=cr("uniform float u_overscale_factor;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {float alpha=0.5;vec4 color=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {color=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {color*=.2;}float extrude_scale_length=length(v_extrude_scale);float extrude_length=length(v_extrude)*extrude_scale_length;float stroke_width=15.0*extrude_scale_length/u_overscale_factor;float radius=v_radius*extrude_scale_length;float distance_to_edge=abs(extrude_length-radius);float opacity_t=smoothstep(-stroke_width,0.0,-distance_to_edge);gl_FragColor=opacity_t*color;}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);highp float padding_factor=1.2;gl_Position.xy+=a_extrude*u_extrude_scale*padding_factor*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;v_radius=abs(a_extrude.y);v_extrude=a_extrude*padding_factor;v_extrude_scale=u_extrude_scale*u_camera_to_center_distance*collision_perspective_ratio;}"),We=cr("uniform highp vec4 u_color;void main() {gl_FragColor=u_color;}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),Xe=cr("#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_FragColor=color*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);}"),Ze=cr("varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\n#pragma mapbox: define highp vec4 outline_color\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 outline_color\n#pragma mapbox: initialize lowp float opacity\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),Je=cr("uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec4 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}"),Ke=cr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec4 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}"),Qe=cr("varying vec4 v_color;void main() {gl_FragColor=v_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\n#pragma mapbox: define highp float base\n#pragma mapbox: define highp float height\n#pragma mapbox: define highp vec4 color\nvoid main() {\n#pragma mapbox: initialize highp float base\n#pragma mapbox: initialize highp float height\n#pragma mapbox: initialize highp vec4 color\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}"),$e=cr("uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec4 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\n#pragma mapbox: define lowp float base\n#pragma mapbox: define lowp float height\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float base\n#pragma mapbox: initialize lowp float height\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\n? a_pos\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}"),tr=cr("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;return (data.r+data.g*256.0+data.b*256.0*256.0)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),er=cr("uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\n#define PI 3.141592653589793\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}"),rr=cr("uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),nr=cr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),ar=cr("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec4 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x,1.0);float x_b=mod(v_linesofar/pattern_size_b.x,1.0);float y_a=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_a.y+2.0)/2.0)/pattern_size_a.y);float y_b=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_b.y+2.0)/2.0)/pattern_size_b.y);vec2 pos_a=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,vec2(x_a,y_a));vec2 pos_b=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,vec2(x_b,y_b));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_to\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_to\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);}"),ir=cr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define scale 0.015873016\n#define LINE_DISTANCE_SCALE 2.0\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\n#pragma mapbox: define highp vec4 color\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\n#pragma mapbox: define lowp float floorwidth\nvoid main() {\n#pragma mapbox: initialize highp vec4 color\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\n#pragma mapbox: initialize lowp float floorwidth\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}"),or=cr("uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}"),sr=cr("uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float opacity\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}"),lr=cr("#define SDF_PX 8.0\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\n#pragma mapbox: define highp vec4 fill_color\n#pragma mapbox: define highp vec4 halo_color\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define lowp float halo_width\n#pragma mapbox: define lowp float halo_blur\nvoid main() {\n#pragma mapbox: initialize highp vec4 fill_color\n#pragma mapbox: initialize highp vec4 halo_color\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize lowp float halo_width\n#pragma mapbox: initialize lowp float halo_blur\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\ncamera_to_anchor_distance/u_camera_to_center_distance :\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=vec2(tex.x,tex.y);v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}");function cr(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,a,i){return n[i]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nvarying "+r+" "+a+" "+i+";\n#else\nuniform "+r+" "+a+" u_"+i+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+i+"\n "+r+" "+a+" "+i+" = u_"+i+";\n#endif\n"}),vertexSource:e=e.replace(r,function(t,e,r,a,i){var o="float"===a?"vec2":"vec4",s=i.match(/color/)?"color":o;return n[i]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+o+" a_"+i+";\nvarying "+r+" "+a+" "+i+";\n#else\nuniform "+r+" "+a+" u_"+i+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = a_"+i+";\n#else\n "+r+" "+a+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+i+" = unpack_mix_"+s+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+a+" "+i+" = u_"+i+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+i+"\nuniform lowp float u_"+i+"_t;\nattribute "+r+" "+o+" a_"+i+";\n#else\nuniform "+r+" "+a+" u_"+i+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+a+" "+i+" = a_"+i+";\n#else\n "+r+" "+a+" "+i+" = u_"+i+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+i+"\n "+r+" "+a+" "+i+" = unpack_mix_"+s+"(a_"+i+", u_"+i+"_t);\n#else\n "+r+" "+a+" "+i+" = u_"+i+";\n#endif\n"})}}var ur=Object.freeze({prelude:Be,background:Ne,backgroundPattern:je,circle:Ve,clippingMask:Ue,heatmap:qe,heatmapTexture:He,collisionBox:Ge,collisionCircle:Ye,debug:We,fill:Xe,fillOutline:Ze,fillOutlinePattern:Je,fillPattern:Ke,fillExtrusion:Qe,fillExtrusionPattern:$e,hillshadePrepare:tr,hillshade:er,line:rr,lineGradient:nr,linePattern:ar,lineSDF:ir,raster:or,symbolIcon:sr,symbolSDF:lr}),hr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};hr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==a||this.boundVertexOffset!==i||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,a,i,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind())},hr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var v=g[d];v.bind(),v.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},hr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var fr=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r.defines();a&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Be.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Be.vertexSource,e.vertexSource).join("\n"),c=i.createShader(i.FRAGMENT_SHADER);i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r.layoutAttributes||[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var v=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),m=0;m<v;m++){var y=i.getActiveUniform(this.program,m);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r.getUniforms(t,p)};function pr(e,r,n){var a=1/ce(n,1,r.transform.tileZoom),i=Math.pow(2,n.tileID.overscaledZ),o=n.tileSize*Math.pow(2,r.transform.tileZoom)/i,s=o*(n.tileID.canonical.x+n.tileID.wrap*i),l=o*n.tileID.canonical.y;return{u_image:0,u_texsize:n.imageAtlasTexture.size,u_scale:[t.browser.devicePixelRatio,a,e.fromScale,e.toScale],u_fade:e.t,u_pixel_coord_upper:[s>>16,l>>16],u_pixel_coord_lower:[65535&s,65535&l]}}fr.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=t.gl;for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(v={},v[m.LINES]=2,v[m.TRIANGLES]=3,v[m.LINE_STRIP]=1,v)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],k=w.vaos||(w.vaos={});(k[s]||(k[s]=new hr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),m.drawElements(e,w.primitiveLength*x,m.UNSIGNED_SHORT,w.primitiveOffset*x*2)}};var dr=function(e,r,n,a){var i=r.style.light,o=i.properties.get("position"),s=[o.x,o.y,o.z],l=t.create$1();"viewport"===i.properties.get("anchor")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get("color");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get("intensity"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},gr=function(e,r,n,a,i,o,s){return t.extend(dr(e,r,n,a),pr(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},vr=function(t){return{u_matrix:t}},mr=function(e,r,n,a){return t.extend(vr(e),pr(n,r,a))},yr=function(t,e){return{u_matrix:t,u_world:e}},xr=function(e,r,n,a,i){return t.extend(mr(e,r,n,a),{u_world:i})},br=function(e,r,n,a){var i,o,s=e.transform;if("map"===a.paint.get("circle-pitch-alignment")){var l=ce(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+("map"===a.paint.get("circle-pitch-scale")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get("circle-translate"),a.paint.get("circle-translate-anchor")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},_r=function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},wr=function(t,e,r){var n=ce(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},kr=function(t,e){return{u_matrix:t,u_color:e}},Tr=function(t){return{u_matrix:t}},Mr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ce(e,1,r),u_intensity:n}},Ar=function(t,e,r){var n=r.paint.get("hillshade-shadow-color"),a=r.paint.get("hillshade-highlight-color"),i=r.paint.get("hillshade-accent-color"),o=r.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===r.paint.get("hillshade-illumination-anchor")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Er(t,e.tileID),u_light:[r.paint.get("hillshade-exaggeration"),o],u_shadow:n,u_highlight:a,u_accent:i}},Sr=function(e,r){var n=e.dem.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[n,n],u_zoom:e.tileID.overscaledZ,u_maxzoom:r}};function Er(e,r){var n=Math.pow(2,r.canonical.z),a=r.canonical.y;return[new t.MercatorCoordinate(0,a/n).toLngLat().lat,new t.MercatorCoordinate(0,(a+1)/n).toLngLat().lat]}var Lr=function(e,r,n){var a=e.transform;return{u_matrix:Ir(e,r,n),u_ratio:1/ce(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Cr=function(e,r,n){return t.extend(Lr(e,r,n),{u_image:0})},Pr=function(e,r,n,a){var i=e.transform,o=zr(r,i);return{u_matrix:Ir(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ce(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[t.browser.devicePixelRatio,o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Or=function(e,r,n,a,i){var o=e.transform,s=e.lineAtlas,l=zr(r,o),c="round"===n.layout.get("line-cap"),u=s.getDash(a.from,c),h=s.getDash(a.to,c),f=u.width*i.fromScale,p=h.width*i.toScale;return t.extend(Lr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:i.t})};function zr(t,e){return 1/ce(t,1,e.tileZoom)}function Ir(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Dr=function(t,e,r,n,a){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*a.paint.get("raster-opacity"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get("raster-brightness-min"),u_brightness_high:a.paint.get("raster-brightness-max"),u_saturation_factor:(o=a.paint.get("raster-saturation"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get("raster-contrast"),i>0?1/(1-i):1+i),u_spin_weights:Rr(a.paint.get("raster-hue-rotate"))};var i,o};function Rr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Fr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+("constant"===t||"source"===t),u_is_size_feature_constant:+("constant"===t||"camera"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Br=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(Fr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Nr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},jr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from),i=r.imageManager.getPattern(t.to),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ce(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Vr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:_r,collisionCircle:_r,debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1f(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1f(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1f(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Ur(e,r){for(var n=e.sort(function(t,e){return t.tileID.isLessThan(e.tileID)?-1:e.tileID.isLessThan(t.tileID)?1:0}),a=0;a<n.length;a++){var i={},o=n[a],s=n.slice(a+1);qr(o.tileID.wrapped(),o.tileID,s,new t.OverscaledTileID(0,o.tileID.wrap+1,0,0,0),i),o.setMask(i,r)}}function qr(e,r,n,a,i){for(var o=0;o<n.length;o++){var s=n[o];if(a.isLessThan(s.tileID))break;if(r.key===s.tileID.key)return;if(s.tileID.isChildOf(r)){for(var l=r.children(1/0),c=0;c<l.length;c++)qr(e,l[c],n.slice(o),a,i);return}}var u=r.overscaledZ-e.overscaledZ,h=new t.CanonicalTileID(u,r.canonical.x-(e.canonical.x<<u),r.canonical.y-(e.canonical.y<<u));i[h.key]=i[h.key]||h}function Hr(t,e,r,n,a){for(var i=t.context,o=i.gl,s=a?t.useProgram("collisionCircle"):t.useProgram("collisionBox"),l=0;l<n.length;l++){var c=n[l],u=e.getTile(c),h=u.getBucket(r);if(h){var f=a?h.collisionCircle:h.collisionBox;f&&s.draw(i,a?o.TRIANGLES:o.LINES,Mt.disabled,At.disabled,t.colorModeForRenderPass(),Et.disabled,wr(c.posMatrix,t.transform,u),r.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,null,t.transform.zoom,null,null,f.collisionVertexBuffer)}}}var Gr=t.identity(new Float32Array(16));function Yr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateRadialOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Wr(e,r,n,a,i,o,s,l,c,u){var h=e.text.placedSymbolArray,f=e.text.dynamicLayoutVertexArray;f.clear();for(var p=0;p<h.length;p++){var d=h.get(p),g=e.allowVerticalPlacement&&!d.placedOrientation,v=d.hidden||!d.crossTileID||g?null:a[d.crossTileID];if(v){var m=new t.Point(d.anchorX,d.anchorY),y=Jt(m,n?l:s),x=.5+o.cameraToCenterDistance/y.signedDistanceFromCamera*.5,b=i.evaluateSizeForFeature(e.textSizeData,u,d)*x/t.ONE_EM;n&&(b*=e.tilePixelRatio/c);for(var _=v.width,w=v.height,k=v.radialOffset,T=v.textBoxScale,M=Yr(v.anchor,_,w,k,T,b),A=n?Jt(m.add(M),s).point:y.point.add(r?M.rotate(-o.angle):M),S=e.allowVerticalPlacement&&d.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,E=0;E<d.numGlyphs;E++)t.addDynamicAttributes(f,A,S)}else ie(d.numGlyphs,f)}e.text.dynamicLayoutVertexBuffer.updateData(f)}function Xr(e){var r=e.text.placedSymbolArray,n=e.text.dynamicLayoutVertexArray;n.clear();for(var a=0;a<r.length;a++){var i=r.get(a);if(i.hidden||!i.placedOrientation)ie(i.numGlyphs,n);else for(var o=new t.Point(i.anchorX,i.anchorY),s=e.allowVerticalPlacement&&i.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,l=0;l<i.numGlyphs;l++)t.addDynamicAttributes(n,o,s)}e.text.dynamicLayoutVertexBuffer.updateData(n)}function Zr(e,r,n,a,i,o,s,l,c,u,h,f,p){for(var d,g,v=e.context,m=v.gl,y=e.transform,x="map"===l,b="map"===c,_=x&&"point"!==n.layout.get("symbol-placement"),w=x&&!b&&!_,k=void 0!==n.layout.get("symbol-sort-key").constantOr(1),T=e.depthModeForSublayer(0,Mt.ReadOnly),M=n.layout.get("text-variable-anchor"),A=[],S=0,E=a;S<E.length;S+=1){var L=E[S],C=r.getTile(L),P=C.getBucket(n);if(P){var O=i?P.text:P.icon;if(O&&O.segments.get().length){var z=O.programConfigurations.get(n.id),I=i||P.sdfIcons,D=i?P.textSizeData:P.iconSizeData;d||(d=e.useProgram(I?"symbolSDF":"symbolIcon",z),g=t.evaluateSizeForZoom(D,y.zoom)),v.activeTexture.set(m.TEXTURE0);var R=void 0,F=void 0,B=void 0;if(i)F=C.glyphAtlasTexture,B=m.LINEAR,R=C.glyphAtlasTexture.size;else{var N=1!==n.layout.get("icon-size").constantOr(0)||P.iconsNeedLinear,j=b||0!==y.pitch;F=C.imageAtlasTexture,B=I||e.options.rotating||e.options.zooming||N||j?m.LINEAR:m.NEAREST,R=C.imageAtlasTexture.size}var V=ce(C,1,e.transform.zoom),U=Xt(L.posMatrix,b,x,e.transform,V),q=Zt(L.posMatrix,b,x,e.transform,V);if(_)Qt(P,L.posMatrix,e,i,U,q,b,u);else if(i&&g&&M){var H=Math.pow(2,y.zoom-C.tileID.overscaledZ);Wr(P,x,b,p,t.symbolSize,y,U,L.posMatrix,H,g)}else i&&g&&P.allowVerticalPlacement&&Xr(P);var G=e.translatePosMatrix(L.posMatrix,C,o,s),Y=_||i&&M?Gr:U,W=e.translatePosMatrix(q,C,o,s,!0),X=I&&0!==n.paint.get(i?"text-halo-width":"icon-halo-width").constantOr(1),Z={program:d,buffers:O,uniformValues:I?Br(D.kind,g,w,b,e,G,Y,W,i,R,!0):Fr(D.kind,g,w,b,e,G,Y,W,i,R),atlasTexture:F,atlasInterpolation:B,isSDF:I,hasHalo:X};if(k)for(var J=0,K=O.segments.get();J<K.length;J+=1){var Q=K[J];A.push({segments:new t.SegmentVector([Q]),sortKey:Q.sortKey,state:Z})}else A.push({segments:O.segments,sortKey:0,state:Z})}}}k&&A.sort(function(t,e){return t.sortKey-e.sortKey});for(var $=0,tt=A;$<tt.length;$+=1){var et=tt[$],rt=et.state;if(rt.atlasTexture.bind(rt.atlasInterpolation,m.CLAMP_TO_EDGE),rt.isSDF){var nt=rt.uniformValues;rt.hasHalo&&(nt.u_is_halo=1,Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,nt)),nt.u_is_halo=0}Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,rt.uniformValues)}}function Jr(t,e,r,n,a,i,o,s,l){var c=n.context,u=c.gl;a.draw(c,u.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function Kr(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get("fill-pattern"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=f.LINES):(l=d?"fillPattern":"fill",s=f.TRIANGLES);for(var v=0,m=n;v<m.length;v+=1){var y=m[v],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePatternPaintBuffers(g));var k=p.constantOr(null);if(k&&x.imageAtlas){var T=x.imageAtlas.patternPositions[k.to],M=x.imageAtlas.patternPositions[k.from];T&&M&&_.setConstantPatternPositions(T,M)}var A=t.translatePosMatrix(y.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){u=b.indexBuffer2,h=b.segments2;var S=[f.drawingBufferWidth,f.drawingBufferHeight];c="fillOutlinePattern"===l&&d?xr(A,t,g,x,S):yr(A,S)}else u=b.indexBuffer,h=b.segments,c=d?mr(A,t,g,x):vr(A);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function Qr(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get("fill-extrusion-pattern"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get("fill-extrusion-opacity"),p=0,d=n;p<d.length;p+=1){var g=d[p],v=e.getTile(g),m=v.getBucket(r);if(m){var y=m.programConfigurations.get(r.id),x=t.useProgram(u?"fillExtrusionPattern":"fillExtrusion",y);u&&(t.context.activeTexture.set(l.TEXTURE0),v.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePatternPaintBuffers(h));var b=c.constantOr(null);if(b&&v.imageAtlas){var _=v.imageAtlas.patternPositions[b.to],w=v.imageAtlas.patternPositions[b.from];_&&w&&y.setConstantPatternPositions(_,w)}var k=t.translatePosMatrix(g.posMatrix,v,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),T=r.paint.get("fill-extrusion-vertical-gradient"),M=u?gr(k,t,T,f,g,h,v):dr(k,t,T,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,M,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y)}}}function $r(t,e,r,n,a,i){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram("hillshade");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=Ar(t,e,r);e.maskedBoundsBuffer&&e.maskedIndexBuffer&&e.segments?c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,e.maskedBoundsBuffer,e.maskedIndexBuffer,e.segments):c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function tn(e,r,n,a,i,o,s){var l=e.context,c=l.gl;if(r.dem&&r.dem.data){var u=r.dem.dim,h=r.dem.stride,f=r.dem.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,f,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var d=r.fbo;if(!d){var g=new t.Texture(l,{width:u,height:u,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(d=r.fbo=l.createFramebuffer(u,u)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(d.framebuffer),l.viewport.set([0,0,u,u]),e.useProgram("hillshadePrepare").draw(l,c.TRIANGLES,i,o,s,Et.disabled,Sr(r,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function en(e,r,n,a,i){var o=a.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}function rn(e,r,n){var 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c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var v=a[g],m=r.getTile(v),y=m.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram("circle",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:br(e,v,m,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var k=w[_];d.push({segments:new t.SegmentVector([k]),sortKey:k.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort(function(t,e){return t.sortKey-e.sortKey});for(var T=0,M=d;T<M.length;T+=1){var A=M[T],S=A.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,z=A.segments;L.draw(c,u.TRIANGLES,h,f,p,Et.disabled,O,n.id,C,P,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get("heatmap-opacity"))if("offscreen"===e.renderPass){var i=e.context,o=i.gl,s=e.depthModeForSublayer(0,Mt.ReadOnly),l=At.disabled,c=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4),function t(e,r,n,a){var i=e.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,r.width/4,r.height/4,0,i.RGBA,e.extTextureHalfFloat?e.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),a.colorAttachment.set(n),e.extTextureHalfFloat&&i.checkFramebufferStatus(i.FRAMEBUFFER)!==i.FRAMEBUFFER_COMPLETE&&(e.extTextureHalfFloat=null,a.colorAttachment.setDirty(),t(e,r,n,a))}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var u=0;u<a.length;u++){var h=a[u];if(!r.hasRenderableParent(h)){var f=r.getTile(h),p=f.getBucket(n);if(p){var d=p.programConfigurations.get(n.id),g=e.useProgram("heatmap",d),v=e.transform.zoom;g.draw(i,o.TRIANGLES,s,l,c,Et.disabled,Mr(h.posMatrix,f,v,n.paint.get("heatmap-intensity")),n.id,p.layoutVertexBuffer,p.indexBuffer,p.segments,n.paint,e.transform.zoom,d)}}}i.viewport.set([0,0,e.width,e.height])}else"translucent"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram("heatmapTexture").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:a,u_opacity:r.paint.get("heatmap-opacity")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if("translucent"===e.renderPass){var i=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get("line-dasharray"),u=n.paint.get("line-pattern"),h=u.constantOr(1),f=n.paint.get("line-gradient"),p=n.getCrossfadeParameters(),d=c?"lineSDF":h?"linePattern":f?"lineGradient":"line",g=e.context,v=g.gl,m=!0;if(f){g.activeTexture.set(v.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,v.RGBA)),y.bind(v.LINEAR,v.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var k=w.getBucket(n);if(k){var T=k.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,T),S=m||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas.patternPositions[E.to],C=w.imageAtlas.patternPositions[E.from];L&&C&&T.setConstantPatternPositions(L,C)}var P=c?Or(e,w,n,c,p):h?Pr(e,w,n,p):f?Cr(e,w,n):Lr(e,w,n);c&&(S||e.lineAtlas.dirty)?(g.activeTexture.set(v.TEXTURE0),e.lineAtlas.bind(g)):h&&(g.activeTexture.set(v.TEXTURE0),w.imageAtlasTexture.bind(v.LINEAR,v.CLAMP_TO_EDGE),T.updatePatternPaintBuffers(p)),A.draw(g,v.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,P,n.id,k.layoutVertexBuffer,k.indexBuffer,k.segments,n.paint,e.transform.zoom,T),m=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get("fill-color"),o=n.paint.get("fill-opacity");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get("fill-pattern"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?"opaque":"translucent";if(e.renderPass===c){var u=e.depthModeForSublayer(1,"opaque"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);Kr(e,r,n,a,u,s,!1)}if("translucent"===e.renderPass&&n.paint.get("fill-antialias")){var h=e.depthModeForSublayer(n.getPaintProperty("fill-outline-color")?2:0,Mt.ReadOnly);Kr(e,r,n,a,h,s,!0)}}},"fill-extrusion":function(t,e,r,n){var a=r.paint.get("fill-extrusion-opacity");if(0!==a&&"translucent"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get("fill-extrusion-pattern").constantOr(1))Qr(t,e,r,n,i,At.disabled,St.disabled),Qr(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();Qr(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=At.disabled,l=t.colorModeForRenderPass(),c=0,u=n;c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&"offscreen"===t.renderPass?tn(t,f,r,i,o,s,l):"translucent"===t.renderPass&&$r(t,f,r,o,s,l)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if("translucent"===t.renderPass&&0!==r.paint.get("raster-opacity"))for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram("raster"),l=At.disabled,c=t.colorModeForRenderPass(),u=n.length&&n[0].overscaledZ,h=!t.options.moving,f=0,p=n;f<p.length;f+=1){var d=p[f],g=t.depthModeForSublayer(d.overscaledZ-u,1===r.paint.get("raster-opacity")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),v=e.getTile(d),m=t.transform.calculatePosMatrix(d.toUnwrapped(),h);v.registerFadeDuration(r.paint.get("raster-fade-duration"));var y=e.findLoadedParent(d,0),x=en(v,y,e,r,t.transform),b=void 0,_=void 0,w="nearest"===r.paint.get("raster-resampling")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),y?(y.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),b=Math.pow(2,y.tileID.overscaledZ-v.tileID.overscaledZ),_=[v.tileID.canonical.x*b%1,v.tileID.canonical.y*b%1]):v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var k=Dr(m,_||[0,0],b||1,x,r);o instanceof P?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):v.maskedBoundsBuffer&&v.maskedIndexBuffer&&v.segments?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,v.maskedBoundsBuffer,v.maskedIndexBuffer,v.segments,r.paint,t.transform.zoom):s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get("background-color"),a=r.paint.get("background-opacity");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get("background-pattern");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?"opaque":"translucent";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,"opaque"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?"backgroundPattern":"background"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var v=r.getCrossfadeParameters(),m=0,y=g;m<y.length;m+=1){var x=y[m],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?jr(b,a,t,c,{tileID:x,tileSize:l},v):Nr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)rn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if("offscreen"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if("translucent"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o="3d"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},on=function(e,r){this.context=new Lt(e),this.transform=r,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.depthRboNeedsClear=!0,this.emptyProgramConfiguration=new t.ProgramConfiguration,this.crossTileSymbolIndex=new Oe};function sn(t,e){if(t.y>e.y){var r=t;t=e,e=r}return{x0:t.x,y0:t.y,x1:e.x,y1:e.y,dx:e.x-t.x,dy:e.y-t.y}}function ln(t,e,r,n,a){var i=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,c=e.dx/e.dy,u=t.dx>0,h=e.dx<0,f=i;f<o;f++){var p=l*Math.max(0,Math.min(t.dy,f+u-t.y0))+t.x0,d=c*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;a(Math.floor(d),Math.ceil(p),f)}}function cn(t,e,r,n,a,i){var o,s=sn(t,e),l=sn(e,r),c=sn(r,t);s.dy>l.dy&&(o=s,s=l,l=o),s.dy>c.dy&&(o=s,s=c,c=o),l.dy>c.dy&&(o=l,l=c,c=o),s.dy&&ln(c,s,n,a,i),l.dy&&ln(c,l,n,a,i)}on.prototype.resize=function(e,r){var n=this.context.gl;if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var a=0,i=this.style._order;a<i.length;a+=1){var o=i[a];this.style._layers[o].resize()}this.depthRbo&&(n.deleteRenderbuffer(this.depthRbo),this.depthRbo=null)},on.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Fe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Fe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,t.rasterBoundsAttributes.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,Fe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},on.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram("clippingMask").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Tr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},on.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram("clippingMask");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Tr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},on.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):"opaque"===this.renderPass?St.unblended:St.alphaBlended},on.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},on.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},on.prototype.render=function(e,r){this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var n=this.style._order,a=this.style.sourceCaches;for(var i in a){var o=a[i];o.used&&o.prepare(this.context)}var s={},l={},c={};for(var u in a){var h=a[u];s[u]=h.getVisibleCoordinates(),l[u]=s[u].slice().reverse(),c[u]=h.getVisibleCoordinates(!0).reverse()}for(var f in a){var p=a[f],d=p.getSource();if("raster"===d.type||"raster-dem"===d.type){for(var g=[],v=0,m=s[f];v<m.length;v+=1){var y=m[v];g.push(p.getTile(y))}Ur(g,this.context)}}this.opaquePassCutoff=1/0;for(var x=0;x<n.length;x++){var b=n[x];if(this.style._layers[b].is3D()){this.opaquePassCutoff=x;break}}this.renderPass="offscreen",this.depthRboNeedsClear=!0;for(var _=0,w=n;_<w.length;_+=1){var k=w[_],T=this.style._layers[k];if(T.hasOffscreenPass()&&!T.isHidden(this.transform.zoom)){var M=l[T.source];("custom"===T.type||M.length)&&this.renderLayer(this,a[T.source],T,M)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass="opaque",this.currentLayer=n.length-1;this.currentLayer>=0;this.currentLayer--){var A=this.style._layers[n[this.currentLayer]],S=a[A.source],E=s[A.source];this._renderTileClippingMasks(A,E),this.renderLayer(this,S,A,E)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<n.length;this.currentLayer++){var L=this.style._layers[n[this.currentLayer]],C=a[L.source],P=("symbol"===L.type?c:l)[L.source];this._renderTileClippingMasks(L,s[L.source]),this.renderLayer(this,C,L,P)}if(this.options.showTileBoundaries)for(var O in a){an.debug(this,a[O],s[O]);break}this.context.setDefault()},on.prototype.setupOffscreenDepthRenderbuffer=function(){var t=this.context;this.depthRbo||(this.depthRbo=t.createRenderbuffer(t.gl.DEPTH_COMPONENT16,this.width,this.height))},on.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,an[r.type](t,e,r,n,this.style.placement.variableOffsets))},on.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?"map"===a?this.transform.angle:0:"viewport"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:ce(r,n[0],this.transform.zoom),i?n[1]:ce(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},on.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},on.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},on.prototype.isPatternMissing=function(t){if(!t)return!1;var e=this.imageManager.getPattern(t.from),r=this.imageManager.getPattern(t.to);return!e||!r},on.prototype.useProgram=function(t,e){void 0===e&&(e=this.emptyProgramConfiguration),this.cache=this.cache||{};var r=""+t+(e.cacheKey||"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new fr(this.context,ur[t],e,Vr[t],this._showOverdrawInspector)),this.cache[r]},on.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},on.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)};var un=function(e,r,n){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===n||n,this._minZoom=e||0,this._maxZoom=r||22,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._posMatrixCache={},this._alignedPosMatrixCache={}},hn={minZoom:{configurable:!0},maxZoom:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerPoint:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};un.prototype.clone=function(){var t=new un(this._minZoom,this._maxZoom,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._calcMatrices(),t},hn.minZoom.get=function(){return this._minZoom},hn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},hn.maxZoom.get=function(){return this._maxZoom},hn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},hn.renderWorldCopies.get=function(){return this._renderWorldCopies},hn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},hn.worldSize.get=function(){return this.tileSize*this.scale},hn.centerPoint.get=function(){return this.size._div(2)},hn.size.get=function(){return new t.Point(this.width,this.height)},hn.bearing.get=function(){return-this.angle/Math.PI*180},hn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},hn.pitch.get=function(){return this._pitch/Math.PI*180},hn.pitch.set=function(e){var r=t.clamp(e,0,60)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},hn.fov.get=function(){return this._fov/Math.PI*180},hn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},hn.zoom.get=function(){return this._zoom},hn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},hn.center.get=function(){return this._center},hn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},un.prototype.coveringZoomLevel=function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},un.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},un.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=new t.Point(i*a.x-.5,i*a.y-.5);return function(e,r,n,a){void 0===a&&(a=!0);var i=1<<e,o={};function s(r,s,l){var c,u,h,f;if(l>=0&&l<=i)for(c=r;c<s;c++)u=Math.floor(c/i),h=(c%i+i)%i,0!==u&&!0!==a||(f=new t.OverscaledTileID(n,u,e,h,l),o[f.key]=f)}var l=r.map(function(e){return new t.Point(e.x,e.y)._mult(i)});return cn(l[0],l[1],l[2],0,i,s),cn(l[2],l[3],l[0],0,i,s),Object.keys(o).map(function(t){return o[t]})}(r,[this.pointCoordinate(new t.Point(0,0)),this.pointCoordinate(new t.Point(this.width,0)),this.pointCoordinate(new t.Point(this.width,this.height)),this.pointCoordinate(new t.Point(0,this.height))],e.reparseOverscaled?n:r,this._renderWorldCopies).sort(function(t,e){return o.dist(t.canonical)-o.dist(e.canonical)})},un.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},hn.unmodified.get=function(){return this._unmodified},un.prototype.zoomScale=function(t){return Math.pow(2,t)},un.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},un.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},un.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},hn.point.get=function(){return this.project(this.center)},un.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},un.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},un.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},un.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},un.prototype.coordinateLocation=function(t){return t.toLngLat()},un.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var a=r[3],i=n[3],o=r[0]/a,s=n[0]/i,l=r[1]/a,c=n[1]/i,u=r[2]/a,h=n[2]/i,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},un.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},un.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},un.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},un.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},un.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},un.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},un.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,v=c.y/2;g-v<i&&(a=i+v),g+v>o&&(a=o-v)}if(this.lngRange){var m=p.x,y=c.x/2;m-y<s&&(n=s+y),m+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},un.prototype._calcMatrices=function(){if(this.height){this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var e=this._fov/2,r=Math.PI/2+this._pitch,n=Math.sin(e)*this.cameraToCenterDistance/Math.sin(Math.PI-r-e),a=this.point,i=a.x,o=a.y,s=1.01*(Math.cos(Math.PI/2-this._pitch)*n+this.cameraToCenterDistance),l=this.height/50,c=new Float64Array(16);t.perspective(c,this._fov,this.width/this.height,l,s),t.scale(c,c,[1,-1,1]),t.translate(c,c,[0,0,-this.cameraToCenterDistance]),t.rotateX(c,c,this._pitch),t.rotateZ(c,c,this.angle),t.translate(c,c,[-i,-o,0]),this.mercatorMatrix=t.scale([],c,[this.worldSize,this.worldSize,this.worldSize]),t.scale(c,c,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=c;var u=this.width%2/2,h=this.height%2/2,f=Math.cos(this.angle),p=Math.sin(this.angle),d=i-Math.round(i)+f*u+p*h,g=o-Math.round(o)+f*h+p*u,v=new Float64Array(c);if(t.translate(v,v,[d>.5?d-1:d,g>.5?g-1:g,0]),this.alignedProjMatrix=v,c=t.create(),t.scale(c,c,[this.width/2,-this.height/2,1]),t.translate(c,c,[1,-1,0]),this.labelPlaneMatrix=c,c=t.create(),t.scale(c,c,[1,-1,1]),t.translate(c,c,[-1,-1,0]),t.scale(c,c,[2/this.width,2/this.height,1]),this.glCoordMatrix=c,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(c=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=c,this._posMatrixCache={},this._alignedPosMatrixCache={}}},un.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},un.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},un.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(un.prototype,hn);var fn=function(){var e,r,n,a;t.bindAll(["_onHashChange","_updateHash"],this),this._updateHash=(e=this._updateHashUnthrottled.bind(this),300,r=!1,n=null,a=function(){n=null,r&&(e(),n=setTimeout(a,300),r=!1)},function(){return r=!0,n||a(),n})};fn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},fn.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},fn.prototype.getHashString=function(t){var e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,n),i=Math.round(e.lng*a)/a,o=Math.round(e.lat*a)/a,s=this._map.getBearing(),l=this._map.getPitch(),c="";return c+=t?"#/"+i+"/"+o+"/"+r:"#"+r+"/"+o+"/"+i,(s||l)&&(c+="/"+Math.round(10*s)/10),l&&(c+="/"+Math.round(l)),c},fn.prototype._onHashChange=function(){var e=t.window.location.hash.replace("#","").split("/");return e.length>=3&&(this._map.jumpTo({center:[+e[2],+e[1]],zoom:+e[0],bearing:+(e[3]||0),pitch:+(e[4]||0)}),!0)},fn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var pn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),dn=function(e){function n(n,a,i){var o=r.touchPos(a.getCanvasContainer(),i),s=o.map(function(t){return a.unproject(t)}),l=o.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=a.unproject(l);e.call(this,n,{points:o,point:l,lngLats:s,lngLat:c,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),gn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),vn=function(e){this._map=e,this._el=e.getCanvasContainer(),this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};vn.prototype.setZoomRate=function(t){this._defaultZoomRate=t},vn.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},vn.prototype.isEnabled=function(){return!!this._enabled},vn.prototype.isActive=function(){return!!this._active},vn.prototype.isZooming=function(){return!!this._zooming},vn.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},vn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},vn.prototype.onWheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type="wheel":0!==r&&Math.abs(r)<4?this._type="trackpad":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*r)<200?"trackpad":"wheel",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this.isActive()||this._start(e)),e.preventDefault()}},vn.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this.isActive()||this._start(t)},vn.prototype._start=function(e){if(this._delta){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0,this._map.fire(new t.Event("movestart",{originalEvent:e})),this._map.fire(new t.Event("zoomstart",{originalEvent:e}))),this._finishTimeout&&clearTimeout(this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame))}},vn.prototype._onScrollFrame=function(){var e=this;if(this._frameId=null,this.isActive()){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i="number"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),"wheel"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o="number"==typeof this._targetZoom?this._targetZoom:r.zoom,s=this._startZoom,l=this._easing,c=!1;if("wheel"===this._type&&s&&l){var u=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=l(u);r.zoom=t.number(s,o,h),u<1?this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame)):c=!0}else r.zoom=o,c=!0;r.setLocationAtPoint(this._around,this._aroundPoint),this._map.fire(new t.Event("move",{originalEvent:this._lastWheelEvent})),this._map.fire(new t.Event("zoom",{originalEvent:this._lastWheelEvent})),c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._map.fire(new t.Event("zoomend",{originalEvent:e._lastWheelEvent})),e._map.fire(new t.Event("moveend",{originalEvent:e._lastWheelEvent})),delete e._targetZoom},200))}},vn.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r};var mn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._container=e.getContainer(),this._clickTolerance=r.clickTolerance||1,t.bindAll(["_onMouseMove","_onMouseUp","_onKeyDown"],this)};mn.prototype.isEnabled=function(){return!!this._enabled},mn.prototype.isActive=function(){return!!this._active},mn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},mn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},mn.prototype.onMouseDown=function(e){this.isEnabled()&&e.shiftKey&&0===e.button&&(t.window.document.addEventListener("mousemove",this._onMouseMove,!1),t.window.document.addEventListener("keydown",this._onKeyDown,!1),t.window.document.addEventListener("mouseup",this._onMouseUp,!1),r.disableDrag(),this._startPos=this._lastPos=r.mousePos(this._el,e),this._active=!0)},mn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);if(!(this._lastPos.equals(e)||!this._box&&e.dist(this._startPos)<this._clickTolerance)){var n=this._startPos;this._lastPos=e,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var a=Math.min(n.x,e.x),i=Math.max(n.x,e.x),o=Math.min(n.y,e.y),s=Math.max(n.y,e.y);r.setTransform(this._box,"translate("+a+"px,"+o+"px)"),this._box.style.width=i-a+"px",this._box.style.height=s-o+"px"}},mn.prototype._onMouseUp=function(e){if(0===e.button){var n=this._startPos,a=r.mousePos(this._el,e);this._finish(),r.suppressClick(),n.x===a.x&&n.y===a.y?this._fireEvent("boxzoomcancel",e):this._map.fitScreenCoordinates(n,a,this._map.getBearing(),{linear:!0}).fire(new t.Event("boxzoomend",{originalEvent:e}))}},mn.prototype._onKeyDown=function(t){27===t.keyCode&&(this._finish(),this._fireEvent("boxzoomcancel",t))},mn.prototype._finish=function(){this._active=!1,t.window.document.removeEventListener("mousemove",this._onMouseMove,!1),t.window.document.removeEventListener("keydown",this._onKeyDown,!1),t.window.document.removeEventListener("mouseup",this._onMouseUp,!1),this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},mn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var yn=t.bezier(0,0,.25,1),xn=function(e,r){this._map=e,this._el=r.element||e.getCanvasContainer(),this._state="disabled",this._button=r.button||"right",this._bearingSnap=r.bearingSnap||0,this._pitchWithRotate=!1!==r.pitchWithRotate,t.bindAll(["onMouseDown","_onMouseMove","_onMouseUp","_onBlur","_onDragFrame"],this)};xn.prototype.isEnabled=function(){return"disabled"!==this._state},xn.prototype.isActive=function(){return"active"===this._state},xn.prototype.enable=function(){this.isEnabled()||(this._state="enabled")},xn.prototype.disable=function(){if(this.isEnabled())switch(this._state){case"active":this._state="disabled",this._unbind(),this._deactivate(),this._fireEvent("rotateend"),this._pitchWithRotate&&this._fireEvent("pitchend"),this._fireEvent("moveend");break;case"pending":this._state="disabled",this._unbind();break;default:this._state="disabled"}},xn.prototype.onMouseDown=function(e){if("enabled"===this._state){var n="touchstart"===e.type;if(n)this._startTime=Date.now();else if("right"===this._button){if(this._eventButton=r.mouseButton(e),this._eventButton!==(e.ctrlKey?0:2))return}else{if(e.ctrlKey||0!==r.mouseButton(e))return;this._eventButton=0}r.disableDrag(),n?(t.window.document.addEventListener("touchmove",this._onMouseMove,{capture:!0}),t.window.document.addEventListener("touchend",this._onMouseUp)):(t.window.document.addEventListener("mousemove",this._onMouseMove,{capture:!0}),t.window.document.addEventListener("mouseup",this._onMouseUp)),t.window.addEventListener("blur",this._onBlur),this._state="pending",this._inertia=[[t.browser.now(),this._map.getBearing()]],this._startPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._center=this._map.transform.centerPoint,e.preventDefault()}},xn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);this._lastPos.equals(e)||(this._lastMoveEvent=t,this._lastPos=e,"pending"===this._state&&(this._state="active",this._fireEvent("rotatestart",t),this._fireEvent("movestart",t),this._pitchWithRotate&&this._fireEvent("pitchstart",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},xn.prototype._onDragFrame=function(){this._frameId=null;var e=this._lastMoveEvent;if(e){var r=this._map.transform,n=this._prevPos,a=this._lastPos,i=.8*(n.x-a.x),o=-.5*(n.y-a.y),s=r.bearing-i,l=r.pitch-o,c=this._inertia,u=c[c.length-1];this._drainInertiaBuffer(),c.push([t.browser.now(),this._map._normalizeBearing(s,u[1])]),r.bearing=s,this._pitchWithRotate&&(this._fireEvent("pitch",e),r.pitch=l),this._fireEvent("rotate",e),this._fireEvent("move",e),delete this._lastMoveEvent,this._prevPos=this._lastPos}},xn.prototype._onMouseUp=function(t){if("touchend"===t.type&&this._startPos===this._lastPos&&Date.now()-this._startTime<300&&this._el.click(),r.mouseButton(t)===this._eventButton)switch(this._state){case"active":this._state="enabled",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialRotate(t);break;case"pending":this._state="enabled",this._unbind()}},xn.prototype._onBlur=function(t){switch(this._state){case"active":this._state="enabled",this._unbind(),this._deactivate(),this._fireEvent("rotateend",t),this._pitchWithRotate&&this._fireEvent("pitchend",t),this._fireEvent("moveend",t);break;case"pending":this._state="enabled",this._unbind()}},xn.prototype._unbind=function(){t.window.document.removeEventListener("mousemove",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener("mouseup",this._onMouseUp),t.window.document.removeEventListener("touchmove",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener("touchend",this._onMouseUp),t.window.removeEventListener("blur",this._onBlur),r.enableDrag()},xn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._lastPos},xn.prototype._inertialRotate=function(t){var e=this;this._fireEvent("rotateend",t),this._drainInertiaBuffer();var r=this._map,n=r.getBearing(),a=this._inertia,i=function(){Math.abs(n)<e._bearingSnap?r.resetNorth({noMoveStart:!0},{originalEvent:t}):e._fireEvent("moveend",t),e._pitchWithRotate&&e._fireEvent("pitchend",t)};if(a.length<2)i();else{var o=a[0],s=a[a.length-1],l=a[a.length-2],c=r._normalizeBearing(n,l[1]),u=s[1]-o[1],h=u<0?-1:1,f=(s[0]-o[0])/1e3;if(0!==u&&0!==f){var p=Math.abs(u*(.25/f));p>180&&(p=180);var d=p/180;c+=h*p*(d/2),Math.abs(r._normalizeBearing(c,0))<this._bearingSnap&&(c=r._normalizeBearing(0,c)),r.rotateTo(c,{duration:1e3*d,easing:yn,noMoveStart:!0},{originalEvent:t})}else i()}},xn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},xn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var bn=t.bezier(0,0,.3,1),_n=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._state="disabled",this._clickTolerance=r.clickTolerance||1,t.bindAll(["_onMove","_onMouseUp","_onTouchEnd","_onBlur","_onDragFrame"],this)};_n.prototype.isEnabled=function(){return"disabled"!==this._state},_n.prototype.isActive=function(){return"active"===this._state},_n.prototype.enable=function(){this.isEnabled()||(this._el.classList.add("mapboxgl-touch-drag-pan"),this._state="enabled")},_n.prototype.disable=function(){if(this.isEnabled())switch(this._el.classList.remove("mapboxgl-touch-drag-pan"),this._state){case"active":this._state="disabled",this._unbind(),this._deactivate(),this._fireEvent("dragend"),this._fireEvent("moveend");break;case"pending":this._state="disabled",this._unbind();break;default:this._state="disabled"}},_n.prototype.onMouseDown=function(e){"enabled"===this._state&&(e.ctrlKey||0!==r.mouseButton(e)||(r.addEventListener(t.window.document,"mousemove",this._onMove,{capture:!0}),r.addEventListener(t.window.document,"mouseup",this._onMouseUp),this._start(e)))},_n.prototype.onTouchStart=function(e){"enabled"===this._state&&(e.touches.length>1||(r.addEventListener(t.window.document,"touchmove",this._onMove,{capture:!0,passive:!1}),r.addEventListener(t.window.document,"touchend",this._onTouchEnd),this._start(e)))},_n.prototype._start=function(e){t.window.addEventListener("blur",this._onBlur),this._state="pending",this._startPos=this._mouseDownPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._inertia=[[t.browser.now(),this._startPos]]},_n.prototype._onMove=function(e){e.preventDefault();var n=r.mousePos(this._el,e);this._lastPos.equals(n)||"pending"===this._state&&n.dist(this._mouseDownPos)<this._clickTolerance||(this._lastMoveEvent=e,this._lastPos=n,this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),this._lastPos]),"pending"===this._state&&(this._state="active",this._fireEvent("dragstart",e),this._fireEvent("movestart",e)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},_n.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform;e.setLocationAtPoint(e.pointLocation(this._prevPos),this._lastPos),this._fireEvent("drag",t),this._fireEvent("move",t),this._prevPos=this._lastPos,delete this._lastMoveEvent}},_n.prototype._onMouseUp=function(t){if(0===r.mouseButton(t))switch(this._state){case"active":this._state="enabled",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialPan(t);break;case"pending":this._state="enabled",this._unbind()}},_n.prototype._onTouchEnd=function(t){switch(this._state){case"active":this._state="enabled",this._unbind(),this._deactivate(),this._inertialPan(t);break;case"pending":this._state="enabled",this._unbind()}},_n.prototype._onBlur=function(t){switch(this._state){case"active":this._state="enabled",this._unbind(),this._deactivate(),this._fireEvent("dragend",t),this._fireEvent("moveend",t);break;case"pending":this._state="enabled",this._unbind()}},_n.prototype._unbind=function(){r.removeEventListener(t.window.document,"touchmove",this._onMove,{capture:!0,passive:!1}),r.removeEventListener(t.window.document,"touchend",this._onTouchEnd),r.removeEventListener(t.window.document,"mousemove",this._onMove,{capture:!0}),r.removeEventListener(t.window.document,"mouseup",this._onMouseUp),r.removeEventListener(t.window,"blur",this._onBlur)},_n.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._mouseDownPos,delete this._lastPos},_n.prototype._inertialPan=function(t){this._fireEvent("dragend",t),this._drainInertiaBuffer();var e=this._inertia;if(e.length<2)this._fireEvent("moveend",t);else{var r=e[e.length-1],n=e[0],a=r[1].sub(n[1]),i=(r[0]-n[0])/1e3;if(0===i||r[1].equals(n[1]))this._fireEvent("moveend",t);else{var o=a.mult(.3/i),s=o.mag();s>1400&&(s=1400,o._unit()._mult(s));var l=s/750,c=o.mult(-l/2);this._map.panBy(c,{duration:1e3*l,easing:bn,noMoveStart:!0},{originalEvent:t})}}},_n.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},_n.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var wn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll(["_onKeyDown"],this)};function kn(t){return t*(2-t)}wn.prototype.isEnabled=function(){return!!this._enabled},wn.prototype.enable=function(){this.isEnabled()||(this._el.addEventListener("keydown",this._onKeyDown,!1),this._enabled=!0)},wn.prototype.disable=function(){this.isEnabled()&&(this._el.removeEventListener("keydown",this._onKeyDown),this._enabled=!1)},wn.prototype._onKeyDown=function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=0,r=0,n=0,a=0,i=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),i=-1);break;case 40:t.shiftKey?n=-1:(i=1,t.preventDefault());break;default:return}var o=this._map,s=o.getZoom(),l={duration:300,delayEndEvents:500,easing:kn,zoom:e?Math.round(s)+e*(t.shiftKey?2:1):s,bearing:o.getBearing()+15*r,pitch:o.getPitch()+10*n,offset:[100*-a,100*-i],center:o.getCenter()};o.easeTo(l,{originalEvent:t})}};var Tn=function(e){this._map=e,t.bindAll(["_onDblClick","_onZoomEnd"],this)};Tn.prototype.isEnabled=function(){return!!this._enabled},Tn.prototype.isActive=function(){return!!this._active},Tn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Tn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Tn.prototype.onTouchStart=function(t){var e=this;if(this.isEnabled()&&!(t.points.length>1))if(this._tapped){var r=t.points[0],n=this._tappedPoint;if(n&&n.dist(r)<=30){t.originalEvent.preventDefault();var a=function(){e._tapped&&e._zoom(t),e._map.off("touchcancel",i),e._resetTapped()},i=function(){e._map.off("touchend",a),e._resetTapped()};this._map.once("touchend",a),this._map.once("touchcancel",i)}else this._resetTapped()}else this._tappedPoint=t.points[0],this._tapped=setTimeout(function(){e._tapped=null,e._tappedPoint=null},300)},Tn.prototype._resetTapped=function(){clearTimeout(this._tapped),this._tapped=null,this._tappedPoint=null},Tn.prototype.onDblClick=function(t){this.isEnabled()&&(t.originalEvent.preventDefault(),this._zoom(t))},Tn.prototype._zoom=function(t){this._active=!0,this._map.on("zoomend",this._onZoomEnd),this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)},Tn.prototype._onZoomEnd=function(){this._active=!1,this._map.off("zoomend",this._onZoomEnd)};var Mn=t.bezier(0,0,.15,1),An=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll(["_onMove","_onEnd","_onTouchFrame"],this)};An.prototype.isEnabled=function(){return!!this._enabled},An.prototype.enable=function(t){this.isEnabled()||(this._el.classList.add("mapboxgl-touch-zoom-rotate"),this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around)},An.prototype.disable=function(){this.isEnabled()&&(this._el.classList.remove("mapboxgl-touch-zoom-rotate"),this._enabled=!1)},An.prototype.disableRotation=function(){this._rotationDisabled=!0},An.prototype.enableRotation=function(){this._rotationDisabled=!1},An.prototype.onStart=function(e){if(this.isEnabled()&&2===e.touches.length){var n=r.mousePos(this._el,e.touches[0]),a=r.mousePos(this._el,e.touches[1]),i=n.add(a).div(2);this._startVec=n.sub(a),this._startAround=this._map.transform.pointLocation(i),this._gestureIntent=void 0,this._inertia=[],r.addEventListener(t.window.document,"touchmove",this._onMove,{passive:!1}),r.addEventListener(t.window.document,"touchend",this._onEnd)}},An.prototype._getTouchEventData=function(t){var e=r.mousePos(this._el,t.touches[0]),n=r.mousePos(this._el,t.touches[1]),a=e.sub(n);return{vec:a,center:e.add(n).div(2),scale:a.mag()/this._startVec.mag(),bearing:this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI}},An.prototype._onMove=function(e){if(2===e.touches.length){var r=this._getTouchEventData(e),n=r.vec,a=r.scale,i=r.bearing;if(!this._gestureIntent){var o=this._rotationDisabled&&1!==a||Math.abs(1-a)>.15;Math.abs(i)>10?this._gestureIntent="rotate":o&&(this._gestureIntent="zoom"),this._gestureIntent&&(this._map.fire(new t.Event(this._gestureIntent+"start",{originalEvent:e})),this._map.fire(new t.Event("movestart",{originalEvent:e})),this._startVec=n)}this._lastTouchEvent=e,this._frameId||(this._frameId=this._map._requestRenderFrame(this._onTouchFrame)),e.preventDefault()}},An.prototype._onTouchFrame=function(){this._frameId=null;var e=this._gestureIntent;if(e){var r=this._map.transform;this._startScale||(this._startScale=r.scale,this._startBearing=r.bearing);var n=this._getTouchEventData(this._lastTouchEvent),a=n.center,i=n.bearing,o=n.scale,s=r.pointLocation(a),l=r.locationPoint(s);"rotate"===e&&(r.bearing=this._startBearing+i),r.zoom=r.scaleZoom(this._startScale*o),r.setLocationAtPoint(this._startAround,l),this._map.fire(new t.Event(e,{originalEvent:this._lastTouchEvent})),this._map.fire(new t.Event("move",{originalEvent:this._lastTouchEvent})),this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),o,a])}},An.prototype._onEnd=function(e){r.removeEventListener(t.window.document,"touchmove",this._onMove,{passive:!1}),r.removeEventListener(t.window.document,"touchend",this._onEnd);var n=this._gestureIntent,a=this._startScale;if(this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._gestureIntent,delete this._startScale,delete this._startBearing,delete this._lastTouchEvent,n){this._map.fire(new t.Event(n+"end",{originalEvent:e})),this._drainInertiaBuffer();var i=this._inertia,o=this._map;if(i.length<2)o.snapToNorth({},{originalEvent:e});else{var s=i[i.length-1],l=i[0],c=o.transform.scaleZoom(a*s[1]),u=o.transform.scaleZoom(a*l[1]),h=c-u,f=(s[0]-l[0])/1e3,p=s[2];if(0!==f&&c!==u){var d=.15*h/f;Math.abs(d)>2.5&&(d=d>0?2.5:-2.5);var g=1e3*Math.abs(d/(12*.15)),v=c+d*g/2e3;v<0&&(v=0),o.easeTo({zoom:v,duration:g,easing:Mn,around:this._aroundCenter?o.getCenter():o.unproject(p),noMoveStart:!0},{originalEvent:e})}else o.snapToNorth({},{originalEvent:e})}}},An.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>2&&r-e[0][0]>160;)e.shift()};var Sn={scrollZoom:vn,boxZoom:mn,dragRotate:xn,dragPan:_n,keyboard:wn,doubleClickZoom:Tn,touchZoomRotate:An},En=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll(["_renderFrameCallback"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,a){if("number"==typeof(a=t.extend({padding:{top:0,bottom:0,right:0,left:0},offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var i=a.padding;a.padding={top:i,bottom:i,right:i,left:i}}if(t.deepEqual(Object.keys(a.padding).sort(function(t,e){return t<e?-1:t>e?1:0}),["bottom","left","right","top"])){var o=this.transform,s=o.project(t.LngLat.convert(e)),l=o.project(t.LngLat.convert(r)),c=s.rotate(-n*Math.PI/180),u=l.rotate(-n*Math.PI/180),h=new t.Point(Math.max(c.x,u.x),Math.max(c.y,u.y)),f=new t.Point(Math.min(c.x,u.x),Math.min(c.y,u.y)),p=h.sub(f),d=(o.width-a.padding.left-a.padding.right)/p.x,g=(o.height-a.padding.top-a.padding.bottom)/p.y;if(!(g<0||d<0)){var v=Math.min(o.scaleZoom(o.scale*Math.min(d,g)),a.maxZoom),m=t.Point.convert(a.offset),y=(a.padding.left-a.padding.right)/2,x=(a.padding.top-a.padding.bottom)/2,b=new t.Point(m.x+y,m.y+x).mult(o.scale/o.zoomScale(v));return{center:o.unproject(s.add(l).div(2).sub(b)),zoom:v,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")}else t.warnOnce("options.padding must be a positive number, or an Object with keys 'bottom', 'left', 'right', 'top'")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(r=t.extend(e,r)).linear?this.easeTo(r,n):this.flyTo(r,n):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return"zoom"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),"bearing"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),"pitch"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),this.fire(new t.Event("movestart",r)).fire(new t.Event("move",r)),a&&this.fire(new t.Event("zoomstart",r)).fire(new t.Event("zoom",r)).fire(new t.Event("zoomend",r)),i&&this.fire(new t.Event("rotatestart",r)).fire(new t.Event("rotate",r)).fire(new t.Event("rotateend",r)),o&&this.fire(new t.Event("pitchstart",r)).fire(new t.Event("pitch",r)).fire(new t.Event("pitchend",r)),this.fire(new t.Event("moveend",r))},r.prototype.easeTo=function(e,r){var n=this;this.stop(),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l="zoom"in e?+e.zoom:i,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,u="pitch"in e?+e.pitch:s,h=a.centerPoint.add(t.Point.convert(e.offset)),f=a.pointLocation(h),p=t.LngLat.convert(e.center||f);this._normalizeCenter(p);var d,g,v=a.project(f),m=a.project(p).sub(v),y=a.zoomScale(l-i);return e.around&&(d=t.LngLat.convert(e.around),g=a.locationPoint(d)),this._zooming=l!==i,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,e.noMoveStart),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(a.zoom=t.number(i,l,e)),n._rotating&&(a.bearing=t.number(o,c,e)),n._pitching&&(a.pitch=t.number(s,u,e)),d)a.setLocationAtPoint(d,g);else{var f=a.zoomScale(a.zoom-i),p=l>i?Math.min(2,y):Math.max(.5,y),x=Math.pow(p,1-e),b=a.unproject(v.add(m.mult(e*x)).mult(f));a.setLocationAtPoint(a.renderWorldCopies?b.wrap():b,h)}n._fireMoveEvents(r)},function(){e.delayEndEvents?n._easeEndTimeoutID=setTimeout(function(){return n._afterEase(r)},e.delayEndEvents):n._afterEase(r)},e),this},r.prototype._prepareEase=function(e,r){this._moving=!0,r||this.fire(new t.Event("movestart",e)),this._zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&this.fire(new t.Event("rotatestart",e)),this._pitching&&this.fire(new t.Event("pitchstart",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event("move",e)),this._zooming&&this.fire(new t.Event("zoom",e)),this._rotating&&this.fire(new t.Event("rotate",e)),this._pitching&&this.fire(new t.Event("pitch",e))},r.prototype._afterEase=function(e){var r=this._zooming,n=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,r&&this.fire(new t.Event("zoomend",e)),n&&this.fire(new t.Event("rotateend",e)),a&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))},r.prototype.flyTo=function(e,r){var n=this;if(t.browser.prefersReducedMotion){var a=t.pick(e,["center","zoom","bearing","pitch","around"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c="zoom"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,u="bearing"in e?this._normalizeBearing(e.bearing,s):s,h="pitch"in e?+e.pitch:l,f=i.zoomScale(c-o),p=i.centerPoint.add(t.Point.convert(e.offset)),d=i.pointLocation(p),g=t.LngLat.convert(e.center||d);this._normalizeCenter(g);var v=i.project(d),m=i.project(g).sub(v),y=e.curve,x=Math.max(i.width,i.height),b=x/f,_=m.mag();if("minZoom"in e){var w=t.clamp(Math.min(e.minZoom,o,c),i.minZoom,i.maxZoom),k=x/i.zoomScale(w-o);y=Math.sqrt(k/_*2)}var T=y*y;function M(t){var e=(b*b-x*x+(t?-1:1)*T*T*_*_)/(2*(t?b:x)*T*_);return Math.log(Math.sqrt(e*e+1)-e)}function A(t){return(Math.exp(t)-Math.exp(-t))/2}function S(t){return(Math.exp(t)+Math.exp(-t))/2}var E=M(0),L=function(t){return S(E)/S(E+y*t)},C=function(t){return x*((S(E)*(A(e=E+y*t)/S(e))-A(E))/T)/_;var e},P=(M(1)-E)/y;if(Math.abs(_)<1e-6||!isFinite(P)){if(Math.abs(x-b)<1e-6)return this.easeTo(e,r);var O=b<x?-1:1;P=Math.abs(Math.log(b/x))/y,C=function(){return 0},L=function(t){return Math.exp(O*y*t)}}if("duration"in e)e.duration=+e.duration;else{var z="screenSpeed"in e?+e.screenSpeed/y:+e.speed;e.duration=1e3*P/z}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._prepareEase(r,!1),this._ease(function(e){var a=e*P,f=1/L(a);i.zoom=1===e?c:o+i.scaleZoom(f),n._rotating&&(i.bearing=t.number(s,u,e)),n._pitching&&(i.pitch=t.number(l,h,e));var d=1===e?g:i.unproject(v.add(m.mult(C(a))).mult(f));i.setLocationAtPoint(i.renderWorldCopies?d.wrap():d,p),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var t=this._onEaseEnd;delete this._onEaseEnd,t.call(this)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ln=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};Ln.prototype.getDefaultPosition=function(){return"bottom-right"},Ln.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Ln.prototype.onRemove=function(){r.remove(this._container),this._map.off("styledata",this._updateData),this._map.off("sourcedata",this._updateData),this._map.off("moveend",this._updateEditLink),this._map.off("resize",this._updateCompact),this._map=void 0},Ln.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(".mapbox-improve-map"));var r=[{key:"owner",value:this.styleOwner},{key:"id",value:this.styleId},{key:"access_token",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce(function(t,e,n){return e.value&&(t+=e.key+"="+e.value+(n<r.length-1?"&":"")),t},"?");e.href=t.config.FEEDBACK_URL+"/"+n+(this._map._hash?this._map._hash.getHashString(!0):""),e.rel="noopener nofollow"}},Ln.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ln.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map(function(t){return"string"!=typeof t?"":t})):"string"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.attribution)}}t.sort(function(t,e){return t.length-e.length});var o=(t=t.filter(function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0})).join(" | ");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove("mapboxgl-attrib-empty")):this._container.classList.add("mapboxgl-attrib-empty"),this._editLink=null)}},Ln.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var Cn=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Cn.prototype.onAdd=function(t){this._map=t,this._container=r.create("div","mapboxgl-ctrl");var e=r.create("a","mapboxgl-ctrl-logo");return e.target="_blank",e.rel="noopener nofollow",e.href="https://www.mapbox.com/",e.setAttribute("aria-label","Mapbox logo"),e.setAttribute("rel","noopener nofollow"),this._container.appendChild(e),this._container.style.display="none",this._map.on("sourcedata",this._updateLogo),this._updateLogo(),this._map.on("resize",this._updateCompact),this._updateCompact(),this._container},Cn.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Cn.prototype.getDefaultPosition=function(){return"bottom-left"},Cn.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Cn.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Cn.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add("mapboxgl-compact"):e.classList.remove("mapboxgl-compact")}};var Pn=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Pn.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Pn.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var a=n[r];if(a.id===t)return void(a.cancelled=!0)}},Pn.prototype.run=function(){var t=this._currentlyRunning=this._queue;this._queue=[];for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!n.cancelled&&(n.callback(),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Pn.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var On=t.window.HTMLImageElement,zn=t.window.HTMLElement,In={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:22,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,clickTolerance:3,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Dn=function(n){function a(e){var a=this;if(null!=(e=t.extend({},In,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than minZoom");var i=new un(e.minZoom,e.maxZoom,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Pn,this._controls=[],this._mapId=t.uniqueId(),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),"string"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error("Container '"+e.container+"' not found.")}else{if(!(e.container instanceof zn))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",function(){return a._update(!1)}),this.on("moveend",function(){return a._update(!1)}),this.on("zoom",function(){return a._update(!0)}),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),function(t,e){var n=t.getCanvasContainer(),a=null,i=!1,o=null;for(var s in Sn)t[s]=new Sn[s](t,e),e.interactive&&e[s]&&t[s].enable(e[s]);r.addEventListener(n,"mouseout",function(e){t.fire(new pn("mouseout",t,e))}),r.addEventListener(n,"mousedown",function(a){i=!0,o=r.mousePos(n,a);var s=new pn("mousedown",t,a);t.fire(s),s.defaultPrevented||(e.interactive&&!t.doubleClickZoom.isActive()&&t.stop(),t.boxZoom.onMouseDown(a),t.boxZoom.isActive()||t.dragPan.isActive()||t.dragRotate.onMouseDown(a),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onMouseDown(a))}),r.addEventListener(n,"mouseup",function(e){var r=t.dragRotate.isActive();a&&!r&&t.fire(new pn("contextmenu",t,a)),a=null,i=!1,t.fire(new pn("mouseup",t,e))}),r.addEventListener(n,"mousemove",function(e){if(!t.dragPan.isActive()&&!t.dragRotate.isActive()){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn("mousemove",t,e))}}),r.addEventListener(n,"mouseover",function(e){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn("mouseover",t,e))}),r.addEventListener(n,"touchstart",function(r){var n=new dn("touchstart",t,r);t.fire(n),n.defaultPrevented||(e.interactive&&t.stop(),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onTouchStart(r),t.touchZoomRotate.onStart(r),t.doubleClickZoom.onTouchStart(n))},{passive:!1}),r.addEventListener(n,"touchmove",function(e){t.fire(new dn("touchmove",t,e))},{passive:!1}),r.addEventListener(n,"touchend",function(e){t.fire(new dn("touchend",t,e))}),r.addEventListener(n,"touchcancel",function(e){t.fire(new dn("touchcancel",t,e))}),r.addEventListener(n,"click",function(a){var i=r.mousePos(n,a);(!o||i.equals(o)||i.dist(o)<e.clickTolerance)&&t.fire(new pn("click",t,a))}),r.addEventListener(n,"dblclick",function(e){var r=new pn("dblclick",t,e);t.fire(r),r.defaultPrevented||t.doubleClickZoom.onDblClick(r)}),r.addEventListener(n,"contextmenu",function(e){var r=t.dragRotate.isActive();i||r?i&&(a=e):t.fire(new pn("contextmenu",t,e)),(t.dragRotate.isEnabled()||t.listens("contextmenu"))&&e.preventDefault()}),r.addEventListener(n,"wheel",function(r){e.interactive&&t.stop();var n=new gn("wheel",t,r);t.fire(n),n.defaultPrevented||t.scrollZoom.onWheel(r)},{passive:!1})}(this,e),this._hash=e.hash&&(new fn).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ln({customAttribution:e.customAttribution})),this.addControl(new Cn,e.logoPosition),this.on("style.load",function(){a.transform.unmodified&&a.jumpTo(a.style.stylesheet)}),this.on("data",function(e){a._update("style"===e.dataType),a.fire(new t.Event(e.dataType+"data",e))}),this.on("dataloading",function(e){a.fire(new t.Event(e.dataType+"dataloading",e))})}n&&(a.__proto__=n),a.prototype=Object.create(n&&n.prototype),a.prototype.constructor=a;var i={showTileBoundaries:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var a=this._controlPositions[r];return-1!==r.indexOf("bottom")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];return this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e)).fire(new t.Event("resize",e)).fire(new t.Event("moveend",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error("minZoom must be between 0 and the current maxZoom, inclusive")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error("maxZoom must be greater than the current minZoom")},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.dragPan.isActive()||this.dragRotate.isActive()||this.scrollZoom.isActive()},a.prototype.isZooming=function(){return this._zooming||this.scrollZoom.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.dragRotate.isActive()},a.prototype.on=function(t,e,r){var a=this;if(void 0===r)return n.prototype.on.call(this,t,e);var i=function(){var n;if("mouseenter"===t||"mouseover"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new pn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new pn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new pn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}}();for(var o in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(o,i.delegates[o]);return this},a.prototype.off=function(t,e,r){if(void 0===r)return n.prototype.off.call(this,t,e);if(this._delegatedListeners&&this._delegatedListeners[t])for(var a=this._delegatedListeners[t],i=0;i<a.length;i++){var o=a[i];if(o.layer===e&&o.listener===r){for(var s in o.delegates)this.off(s,o.delegates[s]);return a.splice(i,1),this}}return this},a.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||"number"==typeof e[0])n=[t.Point.convert(e)];else{var a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Re(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},a.prototype._diffStyle=function(e,r){var n=this;if("string"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)})}else"object"==typeof e&&this._updateDiff(e,r)},a.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce("Unable to perform style diff: "+(n.message||n.error||n)+". Rebuilding the style from scratch."),this._updateStyle(e,r)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce("There is no style added to the map.")},a.prototype.addSource=function(t,e){return this.style.addSource(t,e),this._update(!0)},a.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error("There is no source with ID '"+e+"'")))},a.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var a=r[n];if("loaded"!==a.state&&"errored"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;if(void 0===i&&(i=!1),r instanceof On){var o=t.browser.getImageData(r),s=o.width,l=o.height,c=o.data;this.style.addImage(e,{data:new t.RGBAImage({width:s,height:l},c),pixelRatio:a,sdf:i,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var u=r.width,h=r.height,f=r.data,p=r;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},new Uint8Array(f)),pixelRatio:a,sdf:i,version:0,userImage:p}),p.onAdd&&p.onAdd(this,e)}},a.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error("The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.")));var a=r instanceof On?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;if(void 0===i||void 0===o)return this.fire(new t.ErrorEvent(new Error("Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));if(i!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error("The width and height of the updated image must be that same as the previous version of the image")));var l=!(r instanceof On);n.data.replace(s,l),this.style.updateImage(e,n)},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error("Missing required image id"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.prototype._detectMissingCSS=function(){"rgb(250, 128, 114)"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue("background-color")&&t.warnOnce("This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.")},a.prototype._setupContainer=function(){var t=this._container;t.classList.add("mapboxgl-map"),(this._missingCSSCanary=r.create("div","mapboxgl-canary",t)).style.visibility="hidden",this._detectMissingCSS();var e=this._canvasContainer=r.create("div","mapboxgl-canvas-container",t);this._interactive&&e.classList.add("mapboxgl-interactive"),this._canvas=r.create("canvas","mapboxgl-canvas",e),this._canvas.style.position="absolute",this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var a=this._controlContainer=r.create("div","mapboxgl-control-container",t),i=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach(function(t){i[t]=r.create("div","mapboxgl-ctrl-"+t,a)})},a.prototype._resizeCanvas=function(e,r){var n=t.window.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+"px",this._canvas.style.height=r+"px"},a.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext("webgl",r)||this._canvas.getContext("experimental-webgl",r);n?(this.painter=new on(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(){this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run();var e=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var r=this.transform.zoom,n=t.browser.now();this.style.zoomHistory.update(r,n);var a=new t.EvaluationParameters(r,{now:n,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),i=a.crossFadingFactor();1===i&&i===this._crossFadingFactor||(e=!0,this._crossFadingFactor=i),this.style.update(a)}return this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||e)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this._sourcesDirty||this._repaint||this._styleDirty||this._placementDirty?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event("idle")),this},a.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),Rn(this._canvasContainer),Rn(this._controlContainer),Rn(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this.fire(new t.Event("remove"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(){e._frame=null,e._render()}))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(){this._trackResize&&this.resize()._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(En);function Rn(t){t.parentNode&&t.parentNode.removeChild(t)}var Fn={showCompass:!0,showZoom:!0,visualizePitch:!1},Bn=function(e){var n=this;this.options=t.extend({},Fn,e),this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),this._container.addEventListener("contextmenu",function(t){return t.preventDefault()}),this.options.showZoom&&(t.bindAll(["_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-in","Zoom in",function(){return n._map.zoomIn()}),this._zoomOutButton=this._createButton("mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-out","Zoom out",function(){return n._map.zoomOut()})),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-icon mapboxgl-ctrl-compass","Reset bearing to north",function(){n.options.visualizePitch?n._map.resetNorthPitch():n._map.resetNorth()}),this._compassArrow=r.create("span","mapboxgl-ctrl-compass-arrow",this._compass))};function Nn(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Bn.prototype._updateZoomButtons=function(){var t=this._map.getZoom();t===this._map.getMaxZoom()?this._zoomInButton.classList.add("mapboxgl-ctrl-icon-disabled"):this._zoomInButton.classList.remove("mapboxgl-ctrl-icon-disabled"),t===this._map.getMinZoom()?this._zoomOutButton.classList.add("mapboxgl-ctrl-icon-disabled"):this._zoomOutButton.classList.remove("mapboxgl-ctrl-icon-disabled")},Bn.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?"scale("+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+") rotateX("+this._map.transform.pitch+"deg) rotateZ("+this._map.transform.angle*(180/Math.PI)+"deg)":"rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassArrow.style.transform=t},Bn.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this.options.visualizePitch&&this._map.on("pitch",this._rotateCompassArrow),this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new xn(t,{button:"left",element:this._compass}),r.addEventListener(this._compass,"mousedown",this._handler.onMouseDown),r.addEventListener(this._compass,"touchstart",this._handler.onMouseDown,{passive:!1}),this._handler.enable()),this._container},Bn.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off("pitch",this._rotateCompassArrow),this._map.off("rotate",this._rotateCompassArrow),r.removeEventListener(this._compass,"mousedown",this._handler.onMouseDown),r.removeEventListener(this._compass,"touchstart",this._handler.onMouseDown,{passive:!1}),this._handler.disable(),delete this._handler),delete this._map},Bn.prototype._createButton=function(t,e,n){var a=r.create("button",t,this._container);return a.type="button",a.title=e,a.setAttribute("aria-label",e),a.addEventListener("click",n),a};var jn={center:"translate(-50%,-50%)",top:"translate(-50%,0)","top-left":"translate(0,0)","top-right":"translate(-100%,0)",bottom:"translate(-50%,-100%)","bottom-left":"translate(0,-100%)","bottom-right":"translate(-100%,-100%)",left:"translate(0,-50%)",right:"translate(-100%,-50%)"};function Vn(t,e,r){var n=t.classList;for(var a in jn)n.remove("mapboxgl-"+r+"-anchor-"+a);n.add("mapboxgl-"+r+"-anchor-"+e)}var Un,qn=function(e){function n(n,a){if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll(["_update","_onMove","_onUp","_addDragHandler","_onMapClick"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create("div");var i=r.createNS("http://www.w3.org/2000/svg","svg");i.setAttributeNS(null,"display","block"),i.setAttributeNS(null,"height","41px"),i.setAttributeNS(null,"width","27px"),i.setAttributeNS(null,"viewBox","0 0 27 41");var o=r.createNS("http://www.w3.org/2000/svg","g");o.setAttributeNS(null,"stroke","none"),o.setAttributeNS(null,"stroke-width","1"),o.setAttributeNS(null,"fill","none"),o.setAttributeNS(null,"fill-rule","evenodd");var s=r.createNS("http://www.w3.org/2000/svg","g");s.setAttributeNS(null,"fill-rule","nonzero");var l=r.createNS("http://www.w3.org/2000/svg","g");l.setAttributeNS(null,"transform","translate(3.0, 29.0)"),l.setAttributeNS(null,"fill","#000000");for(var c=0,u=[{rx:"10.5",ry:"5.25002273"},{rx:"10.5",ry:"5.25002273"},{rx:"9.5",ry:"4.77275007"},{rx:"8.5",ry:"4.29549936"},{rx:"7.5",ry:"3.81822308"},{rx:"6.5",ry:"3.34094679"},{rx:"5.5",ry:"2.86367051"},{rx:"4.5",ry:"2.38636864"}];c<u.length;c+=1){var h=u[c],f=r.createNS("http://www.w3.org/2000/svg","ellipse");f.setAttributeNS(null,"opacity","0.04"),f.setAttributeNS(null,"cx","10.5"),f.setAttributeNS(null,"cy","5.80029008"),f.setAttributeNS(null,"rx",h.rx),f.setAttributeNS(null,"ry",h.ry),l.appendChild(f)}var p=r.createNS("http://www.w3.org/2000/svg","g");p.setAttributeNS(null,"fill",this._color);var d=r.createNS("http://www.w3.org/2000/svg","path");d.setAttributeNS(null,"d","M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z"),p.appendChild(d);var g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(v);var m=r.createNS("http://www.w3.org/2000/svg","g");m.setAttributeNS(null,"transform","translate(6.0, 7.0)"),m.setAttributeNS(null,"fill","#FFFFFF");var y=r.createNS("http://www.w3.org/2000/svg","g");y.setAttributeNS(null,"transform","translate(8.0, 8.0)");var x=r.createNS("http://www.w3.org/2000/svg","circle");x.setAttributeNS(null,"fill","#000000"),x.setAttributeNS(null,"opacity","0.25"),x.setAttributeNS(null,"cx","5.5"),x.setAttributeNS(null,"cy","5.5"),x.setAttributeNS(null,"r","5.4999962");var b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#FFFFFF"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962"),y.appendChild(x),y.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(g),s.appendChild(m),s.appendChild(y),i.appendChild(s),this._element.appendChild(i),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add("mapboxgl-marker"),this._element.addEventListener("dragstart",function(t){t.preventDefault()}),Vn(this._element,this._anchor,"marker"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on("move",this._update),t.on("moveend",this._update),this.setDraggable(this._draggable),this._update(),this._map.on("click",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off("click",this._onMapClick),this._map.off("move",this._update),this._map.off("moveend",this._update),this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler),this._map.off("mouseup",this._onUp),this._map.off("touchend",this._onUp),this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null),t){if(!("offset"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[e,-1*(24.6+e)],"bottom-right":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat)}return this},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){this._map&&(this._map.transform.renderWorldCopies&&(this._lngLat=Nn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,jn[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px)"))},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n}(t.Evented),Hn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showUserLocation:!0},Gn=function(e){function n(r){e.call(this),this.options=t.extend({},Hn,r),t.bindAll(["_onSuccess","_onError","_finish","_setupUI","_updateCamera","_updateMarker"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Un?n(Un):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then(function(t){Un="denied"!==t.state,n(Un)}):(Un=!!t.window.navigator.geolocation,n(Un)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),r.remove(this._container),this._map=void 0},n.prototype._onSuccess=function(e){if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"BACKGROUND":case"BACKGROUND_ERROR":this._watchState="BACKGROUND",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background")}this.options.showUserLocation&&"OFF"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&"ACTIVE_LOCK"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("geolocate",e)),this._finish()},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(t){t?this._userLocationDotMarker.setLngLat([t.coords.longitude,t.coords.latitude]).addTo(this._map):this._userLocationDotMarker.remove()},n.prototype._onError=function(e){if(this.options.trackUserLocation)if(1===e.code)this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),void 0!==this._geolocationWatchID&&this._clearWatch();else switch(this._watchState){case"WAITING_ACTIVE":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"ACTIVE_LOCK":this._watchState="ACTIVE_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting");break;case"BACKGROUND":this._watchState="BACKGROUND_ERROR",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting")}"OFF"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add("mapboxgl-user-location-dot-stale"),this.fire(new t.Event("error",e)),this._finish()},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;!1!==e?(this._container.addEventListener("contextmenu",function(t){return t.preventDefault()}),this._geolocateButton=r.create("button","mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate",this._container),this._geolocateButton.type="button",this._geolocateButton.setAttribute("aria-label","Geolocate"),this.options.trackUserLocation&&(this._geolocateButton.setAttribute("aria-pressed","false"),this._watchState="OFF"),this.options.showUserLocation&&(this._dotElement=r.create("div","mapboxgl-user-location-dot"),this._userLocationDotMarker=new qn(this._dotElement),this.options.trackUserLocation&&(this._watchState="OFF")),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",function(e){e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||(n._watchState="BACKGROUND",n._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background"),n._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),n.fire(new t.Event("trackuserlocationend")))})):t.warnOnce("Geolocation support is not available, the GeolocateControl will not be visible.")},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce("Geolocate control triggered before added to a map"),!1;if(this.options.trackUserLocation){switch(this._watchState){case"OFF":this._watchState="WAITING_ACTIVE",this.fire(new t.Event("trackuserlocationstart"));break;case"WAITING_ACTIVE":case"ACTIVE_LOCK":case"ACTIVE_ERROR":case"BACKGROUND_ERROR":this._watchState="OFF",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-active-error"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background-error"),this.fire(new t.Event("trackuserlocationend"));break;case"BACKGROUND":this._watchState="ACTIVE_LOCK",this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-background"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event("trackuserlocationstart"))}switch(this._watchState){case"WAITING_ACTIVE":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_LOCK":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active");break;case"ACTIVE_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-active-error");break;case"BACKGROUND":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background");break;case"BACKGROUND_ERROR":this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-background-error")}"OFF"===this._watchState&&void 0!==this._geolocationWatchID?this._clearWatch():void 0===this._geolocationWatchID&&(this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,this.options.positionOptions))}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","false"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Yn={maxWidth:100,unit:"metric"},Wn=function(e){this.options=t.extend({},Yn,e),t.bindAll(["_onMove","setUnit"],this)};function Xn(t,e,r){var n,a,i,o,s,l,c=r&&r.maxWidth||100,u=t._container.clientHeight/2,h=(n=t.unproject([0,u]),a=t.unproject([c,u]),i=Math.PI/180,o=n.lat*i,s=a.lat*i,l=Math.sin(o)*Math.sin(s)+Math.cos(o)*Math.cos(s)*Math.cos((a.lng-n.lng)*i),6371e3*Math.acos(Math.min(l,1)));if(r&&"imperial"===r.unit){var f=3.2808*h;f>5280?Zn(e,c,f/5280,"mi"):Zn(e,c,f,"ft")}else r&&"nautical"===r.unit?Zn(e,c,h/1852,"nm"):Zn(e,c,h,"m")}function Zn(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(""+Math.floor(a)).length-1))*(o=(o=a/i)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;"m"===n&&s>=1e3&&(s/=1e3,n="km"),t.style.width=e*l+"px",t.innerHTML=s+n}Wn.prototype.getDefaultPosition=function(){return"bottom-left"},Wn.prototype._onMove=function(){Xn(this._map,this._container,this.options)},Wn.prototype.onAdd=function(t){return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-scale",t.getContainer()),this._map.on("move",this._onMove),this._onMove(),this._container},Wn.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Wn.prototype.setUnit=function(t){this.options.unit=t,Xn(this._map,this._container,this.options)};var Jn=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce("Full screen control 'container' must be a DOM element.")),t.bindAll(["_onClickFullscreen","_changeIcon"],this),"onfullscreenchange"in t.window.document?this._fullscreenchange="fullscreenchange":"onmozfullscreenchange"in t.window.document?this._fullscreenchange="mozfullscreenchange":"onwebkitfullscreenchange"in t.window.document?this._fullscreenchange="webkitfullscreenchange":"onmsfullscreenchange"in t.window.document&&(this._fullscreenchange="MSFullscreenChange"),this._className="mapboxgl-ctrl"};Jn.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div",this._className+" mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Jn.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Jn.prototype._setupUI=function(){(this._fullscreenButton=r.create("button",this._className+"-icon "+this._className+"-fullscreen",this._controlContainer)).type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._updateTitle=function(){var t=this._isFullscreen()?"Exit fullscreen":"Enter fullscreen";this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Jn.prototype._isFullscreen=function(){return this._fullscreen},Jn.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(this._className+"-shrink"),this._fullscreenButton.classList.toggle(this._className+"-fullscreen"),this._updateTitle())},Jn.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Kn={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},Qn=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Kn),r),t.bindAll(["_update","_onClickClose","remove"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){var r=this;return this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClickClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",function(t){r._update(t.point)}),this._map.on("mouseup",function(t){r._update(t.point)}),this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")):this._map.on("move",this._update),this.fire(new t.Event("open")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off("move",this._update),this._map.off("click",this._onClickClose),this._map.off("remove",this.remove),this._map.off("mousemove"),delete this._map),this.fire(new t.Event("close")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on("move",this._update),this._map.off("mousemove"),this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this},n.prototype.trackPointer=function(){var t=this;return this._trackPointer=!0,this._pos=null,this._map&&(this._map.off("move",this._update),this._map.on("mousemove",function(e){t._update(e.point)}),this._map.on("drag",function(e){t._update(e.point)}),this._container.classList.add("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.add("mapboxgl-track-pointer")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),a=t.window.document.createElement("body");for(a.innerHTML=e;r=a.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="×",this._closeButton.addEventListener("click",this._onClickClose))},n.prototype._update=function(e){var n=this,a=this._lngLat||this._trackPointer;if(this._map&&a&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach(function(t){return n._container.classList.add(t)})),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Nn(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var i=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if("number"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),"top-left":new t.Point(n,n),"top-right":new t.Point(-n,n),bottom:new t.Point(0,-r),"bottom-left":new t.Point(n,-n),"bottom-right":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var 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normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) < length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) < length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D dashPattern;\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\n\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n + positionFract * scale + translateFract\n + position * scaleFract\n + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},v.defaults={dashes:null,join:"miter",miterLimit:1,thickness:10,cap:"square",color:"black",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach(function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);"number"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold?t.shaders.rect(e):"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))}),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach(function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin 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Uint8Array})},t=i({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,h<v.maxLines&&(d.depth=2*(v.maxLines-1-h%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,"uint8"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),m=new Float64Array(2*y);for(var _=0;_<y;_++)m[2*_]=x[_],m[2*_+1]=b[_]}else m=l(t.positions,"float64"),y=d.count=Math.floor(m.length/2);var w=d.bounds=a(m,2);if(d.fill){for(var k=[],T={},M=0,A=0,S=0,E=d.count;A<E;A++){var L=m[2*A],C=m[2*A+1];isNaN(L)||isNaN(C)||null==L||null==C?(L=m[2*M],C=m[2*M+1],T[A]=M):M=A,k[S++]=L,k[S++]=C}for(var P=c(k,d.hole||[]),O=0,z=P.length;O<z;O++)null!=T[P[O]]&&(P[O]=T[P[O]]);d.triangles=P}var I=new Float64Array(m);u(I,2,w);var D=new Float64Array(2*y+6);d.close?m[0]===m[2*y-2]&&m[1]===m[2*y-1]?(D[0]=I[2*y-4],D[1]=I[2*y-3]):(D[0]=I[2*y-2],D[1]=I[2*y-1]):(D[0]=I[0],D[1]=I[1]),D.set(I,2),d.close?m[0]===m[2*y-2]&&m[1]===m[2*y-1]?(D[2*y+2]=I[2],D[2*y+3]=I[3],d.count-=1):(D[2*y+2]=I[0],D[2*y+3]=I[1],D[2*y+4]=I[2],D[2*y+5]=I[3]):(D[2*y+2]=I[2*y-2],D[2*y+3]=I[2*y-1],D[2*y+4]=I[2*y-2],D[2*y+5]=I[2*y-1]),d.positionBuffer(f(D)),d.positionFractBuffer(p(D))}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var R=d.bounds,F=R[2]-R[0],B=R[3]-R[1],N=d.range[2]-d.range[0],j=d.range[3]-d.range[1];d.scale=[F/N,B/j],d.translate=[-d.range[0]/N+R[0]/N||0,-d.range[1]/j+R[1]/j||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var V,U=0;if(!t.dashes||t.dashes.length<2)U=1,V=new Uint8Array([255,255,255,255,255,255,255,255]);else{U=0;for(var q=0;q<t.dashes.length;++q)U+=t.dashes[q];V=new Uint8Array(U*v.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var X=0,Z=t.dashes[W]*v.dashMult*.5;X<Z;++X)V[H++]=G;G^=255}}d.dashLength=U,d.dashTexture({channels:1,data:V,width:V.length,height:1,mag:"linear",min:"linear"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K="transparent");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&"number"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],"uint8");Q.set(tt,4*$)}Q.set(n(K[0],"uint8"),4*J)}else for(var et=n(K,"uint8"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:"dynamic",type:"uint8",data:Q})}}else e.passes[h]=null}),t.length<this.passes.length){for(var h=t.length;h<this.passes.length;h++){var d=e.passes[h];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],y=0;y<this.passes.length;y++)null!==e.passes[y]&&m.push(e.passes[y]);return this.passes=m,this}},v.prototype.destroy=function(){return this.passes.forEach(function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()}),this.passes.length=0,this}},{"array-bounds":68,"array-normalize":493,"color-normalize":122,earcut:173,"es6-weak-map":494,"flatten-vertex-data":230,glslify:410,"object-assign":455,"parse-rect":460,"pick-by-alias":466,"to-float32":536}],493:[function(t,e,r){"use strict";var n=t("array-bounds");e.exports=function(t,e,r){if(!t||null==t.length)throw Error("Argument should be an array");null==e&&(e=1);null==r&&(r=n(t,e));for(var a=0;a<e;a++){var i=r[e+a],o=r[a],s=a,l=t.length;if(i===1/0&&o===-1/0)for(s=a;s<l;s+=e)t[s]=t[s]===i?1:t[s]===o?0:.5;else if(i===1/0)for(s=a;s<l;s+=e)t[s]=t[s]===i?1:0;else if(o===-1/0)for(s=a;s<l;s+=e)t[s]=t[s]===o?0:1;else{var c=i-o;for(s=a;s<l;s+=e)isNaN(t[s])||(t[s]=0===c?.5:(t[s]-o)/c)}}return t}},{"array-bounds":68}],494:[function(t,e,r){arguments[4][320][0].apply(r,arguments)},{"./is-implemented":495,"./polyfill":497,dup:320}],495:[function(t,e,r){arguments[4][321][0].apply(r,arguments)},{dup:321}],496:[function(t,e,r){arguments[4][322][0].apply(r,arguments)},{dup:322}],497:[function(t,e,r){arguments[4][323][0].apply(r,arguments)},{"./is-native-implemented":496,d:153,dup:323,"es5-ext/object/is-value":197,"es5-ext/object/set-prototype-of":203,"es5-ext/object/valid-object":207,"es5-ext/object/valid-value":208,"es5-ext/string/random-uniq":213,"es6-iterator/for-of":215,"es6-iterator/get":216,"es6-symbol":222}],498:[function(t,e,r){"use strict";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=[],n=!0,a=!1,i=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){a=!0,i=t}finally{try{n||null==s.return||s.return()}finally{if(a)throw i}}return r}(t,e)||function(){throw new TypeError("Invalid attempt to destructure non-iterable instance")}()}function a(t){return function(t){if(Array.isArray(t)){for(var e=0,r=new Array(t.length);e<t.length;e++)r[e]=t[e];return r}}(t)||function(t){if(Symbol.iterator in Object(t)||"[object Arguments]"===Object.prototype.toString.call(t))return Array.from(t)}(t)||function(){throw new TypeError("Invalid attempt to spread non-iterable instance")}()}var i=t("color-normalize"),o=t("array-bounds"),s=t("color-id"),l=t("point-cluster"),c=t("object-assign"),u=t("glslify"),h=t("pick-by-alias"),f=t("update-diff"),p=t("flatten-vertex-data"),d=t("is-iexplorer"),g=t("to-float32"),v=t("parse-rect"),m=y;function y(t,e){var r=this;if(!(this instanceof y))return new y(t,e);"function"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=d,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:"uint8",format:"rgba",wrapS:"clamp",wrapT:"clamp",mag:"nearest",min:"nearest"}),c(this,{regl:t,gl:a,groups:[],markerCache:[null],markerTextures:[null],palette:i,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:a.canvas}),this.update(e);var o={uniforms:{pixelRatio:t.context("pixelRatio"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop("scale"),scaleFract:t.prop("scaleFract"),translate:t.prop("translate"),translateFract:t.prop("translateFract"),opacity:t.prop("opacity"),marker:t.prop("markerTexture")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?i.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?i.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop("elements"),count:t.prop("count"),offset:t.prop("offset"),primitive:"points"},s=c({},o);s.frag=u(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\n\nuniform sampler2D marker;\nuniform float pixelRatio, opacity;\n\nfloat smoothStep(float x, float y) {\n return 1.0 / (1.0 + exp(50.0*(x - y)));\n}\n\nvoid main() {\n float dist = texture2D(marker, gl_PointCoord).r, delta = fragWidth;\n\n // max-distance alpha\n if (dist < 0.003) discard;\n\n // null-border case\n if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n }\n else {\n float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n\n vec4 color = fragBorderColor;\n color.a *= borderColorAmt;\n color = mix(color, fragColor, colorAmt);\n color.a *= opacity;\n\n gl_FragColor = color;\n }\n\n}\n"]),s.vert=u(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\nuniform float pixelRatio;\nuniform sampler2D palette;\n\nconst float maxSize = 100.;\nconst float borderLevel = .5;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n return isDirect ? id / 255. : texture2D(palette,\n vec2(\n (id.x + .5) / paletteSize.x,\n (id.y + .5) / paletteSize.y\n )\n );\n}\n\nvoid main() {\n if (isActive == 0.) return;\n\n vec2 position = vec2(x, y);\n vec2 positionFract = vec2(xFract, yFract);\n\n vec4 color = getColor(colorId);\n vec4 borderColor = getColor(borderColorId);\n\n float size = size * maxSize / 255.;\n float borderSize = borderSize * maxSize / 255.;\n\n gl_PointSize = 2. * size * pixelRatio;\n fragPointSize = size * pixelRatio;\n\n vec2 pos = (position + translate) * scale\n + (positionFract + translateFract) * scale\n + (position + translate) * scaleFract\n + (positionFract + translateFract) * scaleFract;\n\n gl_Position = vec4(pos * 2. - 1., 0, 1);\n\n fragColor = color;\n fragBorderColor = borderColor;\n fragWidth = 1. / gl_PointSize;\n\n fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}"]),this.drawMarker=t(s);var l=c({},o);l.frag=u(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\n\nuniform float opacity;\nvarying float fragBorderRadius, fragWidth;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n\n\tif (radius > 1.0 + delta) {\n\t\tdiscard;\n\t}\n\n\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n\n\tfloat borderRadius = fragBorderRadius;\n\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n\tcolor.a *= alpha * opacity;\n\tgl_FragColor = color;\n}\n"]),l.vert=u(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio;\nuniform sampler2D palette;\nuniform vec2 paletteSize;\n\nconst float maxSize = 100.;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n return isDirect ? id / 255. : texture2D(palette,\n vec2(\n (id.x + .5) / paletteSize.x,\n (id.y + .5) / paletteSize.y\n )\n );\n}\n\nvoid main() {\n // ignore inactive points\n if (isActive == 0.) return;\n\n vec2 position = vec2(x, y);\n vec2 positionFract = vec2(xFract, yFract);\n\n vec4 color = getColor(colorId);\n vec4 borderColor = getColor(borderColorId);\n\n float size = size * maxSize / 255.;\n float borderSize = borderSize * maxSize / 255.;\n\n gl_PointSize = (size + borderSize) * pixelRatio;\n\n vec2 pos = (position + translate) * scale\n + (positionFract + translateFract) * scale\n + (position + translate) * scaleFract\n + (positionFract + translateFract) * scaleFract;\n\n gl_Position = vec4(pos * 2. - 1., 0, 1);\n\n fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n fragColor = color;\n fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n fragWidth = 1. / gl_PointSize;\n}\n"]),d&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}y.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},y.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},y.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach(function(e,r){t.drawItem(r)});return this},y.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if("number"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},y.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;this.regl;if(!i)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),g=0;g<r.length;g++){var v=r[g];d[v]=p?p[v]:1}l.subdata(d)}for(var m=f.length;m--;){var y=n(f[m],2),x=y[0],b=y[1];h.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return h},y.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var a=this.groups,i=this.gl,s=this.regl,u=this.maxSize,d=this.maxColors,m=this.palette;this.groups=a=r.map(function(e,r){var n=a[r];if(void 0===e)return n;null===e?e={positions:null}:"function"==typeof e?e={ondraw:e}:"number"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:"positions data points",snap:"snap cluster lod tree",size:"sizes size radius",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",color:"colors color fill fill-color fillColor",borderColor:"borderColors borderColor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range dataBox databox",viewport:"viewport viewPort viewBox viewbox",opacity:"opacity alpha transparency",bounds:"bound bounds boundaries limits",tooManyColors:"tooManyColors palette paletteMode optimizePalette enablePalette"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(a[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:s.buffer({data:new Uint8Array(0),usage:"stream",type:"uint8"}),sizeBuffer:s.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),colorBuffer:s.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),positionBuffer:s.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"}),positionFractBuffer:s.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"})},e=c({},y.defaults,e)),!e.positions||"marker"in e||(e.marker=n.marker,delete n.marker),!e.marker||"positions"in e||(e.positions=n.positions,delete n.positions);var x=0,b=0;if(f(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=y.defaults.size),x+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=y.defaults.borderSize),x+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=y.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=y.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return"range"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,a=e.positionBuffer,i=e.positionFractBuffer,c=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:s.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:s.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=p(t,"float64");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?o(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=l(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:"points",usage:"static",data:e.tree,type:"uint32"};e.elements?e.elements(f):e.elements=s.elements(f)}return a({data:g.float(t),usage:"dynamic"}),i({data:g.fract(t),usage:"dynamic"}),c({data:new Uint8Array(u),type:"uint8",usage:"stream"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach(function(t){return t&&t.destroy&&t.destroy()}),a.length=0,e&&"number"!=typeof e[0]){for(var i=[],o=0,l=Math.min(e.length,r.count);o<l;o++){var c=t.addMarker(e[o]);i[c]||(i[c]=new Uint8Array(r.count)),i[c][o]=1}for(var u=0;u<i.length;u++)if(i[u]){var h={data:i[u],type:"uint8",usage:"static"};a[u]?a[u](h):a[u]=s.buffer(h),a[u].data=i[u]}}else{a[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return v(t||[i.drawingBufferWidth,i.drawingBufferHeight])}}]),x){var _=n,w=_.count,k=_.size,T=_.borderSize,M=_.sizeBuffer,A=new Uint8Array(2*w);if(k.length||T.length)for(var S=0;S<w;S++)A[2*S]=Math.round(255*(null==k[S]?k:k[S])/u),A[2*S+1]=Math.round(255*(null==T[S]?T:T[S])/u);M({data:A,usage:"dynamic"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,z=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var I=0;I<C;I++){var D=P[I];E[8*I]=m[4*D],E[8*I+1]=m[4*D+1],E[8*I+2]=m[4*D+2],E[8*I+3]=m[4*D+3];var R=O[I];E[8*I+4]=m[4*R],E[8*I+5]=m[4*R+1],E[8*I+6]=m[4*R+2],E[8*I+7]=m[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%d,E[4*F+1]=Math.floor(P[F]/d)),null!=O[F]&&(E[4*F+2]=O[F]%d,E[4*F+3]=Math.floor(O[F]/d))}z({data:E||new Uint8Array(0),type:"uint8",usage:"dynamic"})}return n})}},y.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,a=this.markerCache,i=null==t?0:a.indexOf(t);if(i>=0)return i;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return i=r.length,a.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:"linear",min:"linear"})),i},y.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var a=[];if("number"==typeof t[0]){var o=[];if(Array.isArray(t))for(var l=0;l<t.length;l+=4)o.push(t.slice(l,l+4));else for(var c=0;c<t.length;c+=4)o.push(t.subarray(c,c+4));t=o}for(var u=0;u<t.length;u++){var h=t[u];h=i(h,"uint8");var f=s(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}a[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===a.length?a[0]:a},y.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var a=.25*(t=t.slice()).length%e;a<n*e;a++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},y.prototype.destroy=function(){return this.groups.forEach(function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(t){return t&&t.destroy&&t.destroy()}),this};var x=t("object-assign");e.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return x(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{"array-bounds":68,"color-id":120,"color-normalize":122,"flatten-vertex-data":230,glslify:410,"is-iexplorer":420,"object-assign":455,"parse-rect":460,"pick-by-alias":466,"point-cluster":470,"to-float32":536,"update-diff":547}],499:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),a=t("pick-by-alias"),i=t("array-bounds"),o=t("raf"),s=t("array-range"),l=t("parse-rect"),c=t("flatten-vertex-data");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,a,i,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],a=s[3]):s.length?(n=s[0],a=s[1]):(s.x,n=s.y,s.x+s.width,a=s.y+s.height),l.length>2?(i=l[0],o=l[2],l[1],l[3]):l.length?(i=l[0],o=l[1]):(i=l.x,l.y,o=l.x+l.width,l.y+l.height),[i,n,o,a]}function p(t){if("number"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o(function(){e.draw(),e.dirty=!0,e.planned=null})):(this.draw(),this.dirty=!0,o(function(){e.dirty=!1})),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var a=[],i=0,o=0;o<this.traces.length;o++){for(var 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r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{"../main":569,"object-assign":455}],562:[function(t,e,r){var n=t("../main"),a=t("object-assign");function i(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}i.prototype=new n.baseCalendar,a(i.prototype,{name:"Mayan",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{"":{name:"Mayan",epochs:["",""],monthNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],monthNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17"],dayNames:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesShort:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],dayNamesMin:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19"],digits:null,dateFormat:"YYYY.m.d",firstDay:0,isRTL:!1,haabMonths:["Pop","Uo","Zip","Zotz","Tzec","Xul","Yaxkin","Mol","Chen","Yax","Zac","Ceh","Mac","Kankin","Muan","Pax","Kayab","Cumku","Uayeb"],tzolkinMonths:["Imix","Ik","Akbal","Kan","Chicchan","Cimi","Manik","Lamat","Muluc","Oc","Chuen","Eb","Ben","Ix","Men","Cib","Caban","Etznab","Cauac","Ahau"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+"."+Math.floor(t/20)+"."+t%20},forYear:function(t){if((t=t.split(".")).length<3)throw"Invalid Mayan year";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw"Invalid Mayan year";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate).toJD(),i=this._toHaab(a),o=this._toTzolkin(a);return{haabMonthName:this.local.haabMonths[i[0]-1],haabMonth:i[0],haabDay:i[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return a.day()+20*a.month()+360*a.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=i},{"../main":569,"object-assign":455}],563:[function(t,e,r){var n=t("../main"),a=t("object-assign");function i(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}i.prototype=new n.baseCalendar;var o=n.instance("gregorian");a(i.prototype,{name:"Nanakshahi",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Nanakshahi",epochs:["BN","AN"],monthNames:["Chet","Vaisakh","Jeth","Harh","Sawan","Bhadon","Assu","Katak","Maghar","Poh","Magh","Phagun"],monthNamesShort:["Che","Vai","Jet","Har","Saw","Bha","Ass","Kat","Mgr","Poh","Mgh","Pha"],dayNames:["Somvaar","Mangalvar","Budhvaar","Veervaar","Shukarvaar","Sanicharvaar","Etvaar"],dayNamesShort:["Som","Mangal","Budh","Veer","Shukar","Sanichar","Et"],dayNamesMin:["So","Ma","Bu","Ve","Sh","Sa","Et"],digits:null,dateFormat:"dd-mm-yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{"../main":569,"object-assign":455}],564:[function(t,e,r){var n=t("../main"),a=t("object-assign");function i(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}i.prototype=new n.baseCalendar,a(i.prototype,{name:"Nepali",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{"":{name:"Nepali",epochs:["BBS","ABS"],monthNames:["Baisakh","Jestha","Ashadh","Shrawan","Bhadra","Ashwin","Kartik","Mangsir","Paush","Mangh","Falgun","Chaitra"],monthNamesShort:["Bai","Je","As","Shra","Bha","Ash","Kar","Mang","Pau","Ma","Fal","Chai"],dayNames:["Aaitabaar","Sombaar","Manglbaar","Budhabaar","Bihibaar","Shukrabaar","Shanibaar"],dayNamesShort:["Aaita","Som","Mangl","Budha","Bihi","Shukra","Shani"],dayNamesMin:["Aai","So","Man","Bu","Bi","Shu","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),"undefined"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),"undefined"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)"undefined"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2000:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29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n.baseCalendar,a(i.prototype,{name:"UmmAlQura",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Umm al-Qura",epochs:["BH","AH"],monthNames:["Al-Muharram","Safar","Rabi' al-awwal","Rabi' Al-Thani","Jumada Al-Awwal","Jumada Al-Thani","Rajab","Sha'aban","Ramadan","Shawwal","Dhu al-Qi'dah","Dhu al-Hijjah"],monthNamesShort:["Muh","Saf","Rab1","Rab2","Jum1","Jum2","Raj","Sha'","Ram","Shaw","DhuQ","DhuH"],dayNames:["Yawm al-Ahad","Yawm al-Ithnain","Yawm al-Thal\u0101th\u0101\u2019","Yawm al-Arba\u2018\u0101\u2019","Yawm al-Kham\u012bs","Yawm al-Jum\u2018a","Yawm al-Sabt"],dayNamesMin:["Ah","Ith","Th","Ar","Kh","Ju","Sa"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\{0\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t("object-assign");function a(){this.regionalOptions=[],this.regionalOptions[""]={invalidCalendar:"Calendar {0} not found",invalidDate:"Invalid {0} date",invalidMonth:"Invalid {0} month",invalidYear:"Invalid {0} year",differentCalendars:"Cannot mix {0} and {1} dates"},this.local=this.regionalOptions[""],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name)}function o(t,e){return"000000".substring(0,e-(t=""+t).length)+t}function s(){this.shortYearCutoff="+10"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[""]}n(a.prototype,{instance:function(t,e){t=(t||"gregorian").toLowerCase(),e=e||"";var r=this._localCals[t+"-"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+"-"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[""].invalidCalendar).replace(/\{0\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():"string"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+"").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n="",a=0;r>0;){var i=r%10;n=(0===i?"":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,"y")},month:function(t){return 0===arguments.length?this._month:this.set(t,"m")},day:function(t){return 0===arguments.length?this._day:this.set(t,"d")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[""].invalidDate).replace(/\{0\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[""].differentCalendars).replace(/\{0\}/,this._calendar.local.name).replace(/\{1\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?"-":"")+o(Math.abs(this.year()),4)+"-"+o(this.month(),2)+"-"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return(e.year()<0?"-":"")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[""].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[""].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[""].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[""].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,"d"===r||"w"===r){var n=t.toJD()+e*("w"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+("y"===r?e:0),o=t.monthOfYear()+("m"===r?e:0);a=t.day();"y"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):"m"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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j=e.font,V=x._meta?o.templateString(e.text,x._meta):e.text,U=z.append("text").classed("annotation-text",!0).text(V);_.annotationText?U.call(h.makeEditable,{delegate:z,gd:t}).call(H).on("edit",function(r){e.text=r,this.call(H),T("text",r),s&&s.autorange&&k(s._name+".autorange",!0),v&&v.autorange&&k(v._name+".autorange",!0),a.call("_guiRelayout",t,M())}):U.call(H)}else n.selectAll("#"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return r.call(c.font,j).attr({"text-anchor":{left:"start",right:"end"}[e.align]||"middle"}),h.convertToTspans(r,t,G),r}function G(){var r=U.selectAll("a");1===r.size()&&r.text()===U.text()&&z.insert("a",":first-child").attr({"xlink:xlink:href":r.attr("xlink:href"),"xlink:xlink:show":r.attr("xlink:show")}).style({cursor:"pointer"}).node().appendChild(F.node());var n=z.select(".annotation-text-math-group"),u=!n.empty(),d=c.bBox((u?n:U).node()),m=d.width,y=d.height,w=e.width||m,O=e.height||y,D=Math.round(w+2*R),j=Math.round(O+2*R);function V(t,e){return"auto"===e&&(e=t<1/3?"left":t>2/3?"right":"center"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var H=!1,G=["x","y"],Y=0;Y<G.length;Y++){var W,X,Z,J,K,Q=G[Y],$=e[Q+"ref"]||Q,tt=e["a"+Q+"ref"],et={x:s,y:v}[Q],rt=(E+("x"===Q?0:-90))*Math.PI/180,nt=D*Math.cos(rt),at=j*Math.sin(rt),it=Math.abs(nt)+Math.abs(at),ot=e[Q+"anchor"],st=e[Q+"shift"]*("x"===Q?1:-1),lt=S[Q];if(et){var ct=et.r2fraction(e[Q]);(ct<0||ct>1)&&(tt===$?((ct=et.r2fraction(e["a"+Q]))<0||ct>1)&&(H=!0):H=!0),W=et._offset+et.r2p(e[Q]),J=.5}else"x"===Q?(Z=e[Q],W=b.l+b.w*Z):(Z=1-e[Q],W=b.t+b.h*Z),J=e.showarrow?.5:Z;if(e.showarrow){lt.head=W;var ut=e["a"+Q];K=nt*V(.5,e.xanchor)-at*V(.5,e.yanchor),tt===$?(lt.tail=et._offset+et.r2p(ut),X=K):(lt.tail=W+ut,X=K+ut),lt.text=lt.tail+K;var 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n=t("./draw"),a=t("./click");e.exports={moduleType:"component",name:"annotations",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("annotations"),calcAutorange:t("./calc_autorange"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:a.hasClickToShow,onClick:a.onClick,convertCoords:t("./convert_coords")}},{"../../plots/cartesian/include_components":775,"./attributes":574,"./calc_autorange":575,"./click":576,"./convert_coords":578,"./defaults":579,"./draw":580}],583:[function(t,e,r){"use strict";var n=t("../annotations/attributes"),a=t("../../plot_api/edit_types").overrideAll,i=t("../../plot_api/plot_template").templatedArray;e.exports=a(i("annotation",{visible:n.visible,x:{valType:"any"},y:{valType:"any"},z:{valType:"any"},ax:{valType:"number"},ay:{valType:"number"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),"calc","from-root")},{"../../plot_api/edit_types":748,"../../plot_api/plot_template":755,"../annotations/attributes":574}],584:[function(t,e,r){"use 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h=i[u],f=l[h],p=e[h+"axis"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(".annotation-"+t.id+'[data-index="'+s+'"]').remove():(l._pdata=a(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},{"../../plots/gl3d/project":814,"../annotations/draw":580}],587:[function(t,e,r){"use strict";var n=t("../../registry"),a=t("../../lib");e.exports={moduleType:"component",name:"annotations3d",schema:{subplots:{scene:{annotations:t("./attributes")}}},layoutAttributes:t("./attributes"),handleDefaults:t("./defaults"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var i=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var 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At=!1;Tt.cd[Tt.index]&&Tt.cd[Tt.index].ht&&(At=Tt.cd[Tt.index].ht),Tt.hovertemplate=At||Tt.trace.hovertemplate||!1}Tt.eventData=[Mt],kt.push(Mt)}t._hoverdata=kt;var St="y"===L&&(J.length>1||Z.length>1)||"closest"===L&&Q&&Z.length>1,Et=h.combine(u.plot_bgcolor||h.background,u.paper_bgcolor),Lt={hovermode:L,rotateLabels:St,bgColor:Et,container:u._hoverlayer,outerContainer:u._paperdiv,commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance},Ct=E(Z,Lt,t);g.isUnifiedHover(L)||(!function(t,e,r){var n,a,i,o,s,l,c,u=0,h=1,f=t.size(),p=new Array(f),d=0;function g(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,i=r.pos+r.dp+r.size-e.pmax,a>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=a;n=!1}if(!(i<.01)){if(a<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=i;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,i=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=i;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each(function(t){var n=t[e],a="x"===n._id.charAt(0),i=n.range;0===d&&i&&i[0]>i[1]!==a&&(h=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?_:1)/2,pmin:0,pmax:a?r.width:r.height}]}),p.sort(function(t,e){return t[0].posref-e[0].posref||h*(e[0].traceIndex-t[0].traceIndex)});for(;!n&&u<=f;){for(u++,n=!0,o=0;o<p.length-1;){var v=p[o],m=p[o+1],y=v[v.length-1],x=m[0];if((a=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=m.length-1;s>=0;s--)m[s].dp+=a;for(v.push.apply(v,m),p.splice(o+1,1),c=0,s=v.length-1;s>=0;s--)c+=v[s].dp;for(i=c/v.length,s=v.length-1;s>=0;s--)v[s].dp-=i;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var w=b[s],k=w.datum;k.offset=w.dp,k.del=w.del}}}(Ct,St?"xa":"ya",u),C(Ct,St));if(e.target&&e.target.tagName){var Pt=d.getComponentMethod("annotations","hasClickToShow")(t,kt);c(n.select(e.target),Pt?"pointer":"")}if(!e.target||i||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var a=r[n],i=t._hoverdata[n];if(a.curveNumber!==i.curveNumber||String(a.pointNumber)!==String(i.pointNumber)||String(a.pointNumbers)!==String(i.pointNumbers))return!0}return!1}(t,0,wt))return;wt&&t.emit("plotly_unhover",{event:e,points:wt});t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:b,yaxes:w,xvals:I,yvals:D})}(t,e,r,i)})},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var a=t.map(function(t){return{color:t.color||h.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}}),i=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):i,s={hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||h.background,container:i,outerContainer:o},l=E(a,s,e.gd),c=0,u=0;return l.sort(function(t,e){return t.y0-e.y0}).each(function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)}).each(function(t){t.offset-=u}),C(l,s.rotateLabels),r?l:l.node()};var S=/<extra>([\s\S]*)<\/extra>/;function E(t,e,r){var a=r._fullLayout,i=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},b=e.fontFamily||v.HOVERFONT,_=e.fontSize||v.HOVERFONTSIZE,w=t[0],k=w.xa,S=w.ya,E="y"===i.charAt(0)?"yLabel":"xLabel",C=w[E],P=(String(C)||"").split(" ")[0],O=p.node().getBoundingClientRect(),z=O.top,I=O.width,D=O.height,R=void 0!==C&&w.distance<=e.hoverdistance&&("x"===i||"y"===i);if(R){var F,B,N=!0;for(F=0;F<t.length;F++)if(N&&void 0===t[F].zLabel&&(N=!1),B=t[F].hoverinfo||t[F].trace.hoverinfo){var j=Array.isArray(B)?B:B.split("+");if(-1===j.indexOf("all")&&-1===j.indexOf(i)){R=!1;break}}N&&(R=!1)}var V=f.selectAll("g.axistext").data(R?[0]:[]);function U(t){return t.filter(function(t){return void 0!==t.zLabelVal||(t[E]||"").split(" ")[0]===P})}if(V.enter().append("g").classed("axistext",!0),V.exit().remove(),V.each(function(){var e=n.select(this),s=o.ensureSingle(e,"path","",function(t){t.style({"stroke-width":"1px"})}),c=o.ensureSingle(e,"text","",function(t){t.attr("data-notex",1)}),f=d.bgcolor||h.defaultLine,p=d.bordercolor||h.contrast(f),g=h.contrast(f),v={family:d.font.family||b,size:d.font.size||_,color:d.font.color||g};s.style({fill:f,stroke:p}),c.text(C).call(u.font,v).call(l.positionText,0,0).call(l.convertToTspans,r),e.attr("transform","");var m,y,x=c.node().getBoundingClientRect();if("x"===i){var A="top"===k.side?"-":"";c.attr("text-anchor","middle").call(l.positionText,0,"top"===k.side?z-x.bottom-T-M:z-x.top+T+M),m=k._offset+(w.x0+w.x1)/2,y=S._offset+("top"===k.side?0:S._length);var E=x.width/2+M;m<E?(m=E,s.attr("d","M-"+(E-T)+",0L-"+(E-2*T)+","+A+T+"H"+(M+x.width/2)+"v"+A+(2*M+x.height)+"H-"+E+"V"+A+T+"Z")):m>a.width-E?(m=a.width-E,s.attr("d","M"+(E-T)+",0L"+E+","+A+T+"v"+A+(2*M+x.height)+"H-"+E+"V"+A+T+"H"+(E-2*T)+"Z")):s.attr("d","M0,0L"+T+","+A+T+"H"+(M+x.width/2)+"v"+A+(2*M+x.height)+"H-"+(M+x.width/2)+"V"+A+T+"H-"+T+"Z")}else{var L,P,O;"right"===S.side?(L="start",P=1,O="",m=k._offset+k._length):(L="end",P=-1,O="-",m=k._offset),y=S._offset+(w.y0+w.y1)/2,c.attr("text-anchor",L),s.attr("d","M0,0L"+O+T+","+T+"V"+(M+x.height/2)+"h"+O+(2*M+x.width)+"V-"+(M+x.height/2)+"H"+O+T+"V-"+T+"Z");var I,D=x.height/2,R=z-x.top-D,F="clip"+a._uid+"commonlabel"+S._id;if(m<x.width+2*M+T){I="M-"+(T+M)+"-"+D+"h-"+(x.width-M)+"V"+D+"h"+(x.width-M)+"Z";var B=x.width-m+M;l.positionText(c,B,R),"end"===L&&c.selectAll("tspan").each(function(){var t=n.select(this),e=u.tester.append("text").text(t.text()).call(u.font,v),r=e.node().getBoundingClientRect();Math.round(r.width)<Math.round(x.width)&&t.attr("x",B-r.width),e.remove()})}else l.positionText(c,P*(M+T),R),I=null;var N=a._topclips.selectAll("#"+F).data(I?[0]:[]);N.enter().append("clipPath").attr("id",F).append("path"),N.exit().remove(),N.select("path").attr("d",I),u.setClipUrl(c,I?F:null,r)}e.attr("transform","translate("+m+","+y+")"),t=U(t)}),g.isUnifiedHover(i)){if(f.selectAll("g.hovertext").remove(),void 0!==C&&w.distance<=e.hoverdistance&&(t=U(t)),0===t.length)return;var q={showlegend:!0,legend:{title:{text:C,font:a.hoverlabel.font},font:a.hoverlabel.font,bgcolor:a.hoverlabel.bgcolor,bordercolor:a.hoverlabel.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:a.legend?a.legend.traceorder:void 0,orientation:"v"}},H={};m(q,H,r._fullData);var G=H.legend;G.entries=[];for(var Y=0;Y<t.length;Y++){var W=L(t[Y],!0,i,a,C),X=W[0],Z=W[1],J=t[Y];J.name=Z,J.text=""!==Z?Z+" : 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t=n.select(this);t.append("rect").call(h.fill,h.addOpacity(c,.8)),t.append("text").classed("name",!0),t.append("path").style("stroke-width","1px"),t.append("text").classed("nums",!0).call(u.font,b,_)}),it.exit().remove(),it.each(function(t){var e=n.select(this).attr("transform",""),o=t.bgcolor||t.color,f=h.combine(h.opacity(o)?o:h.defaultLine,c),p=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),d=t.borderColor||h.contrast(f),g=L(t,R,i,a,C,e),v=g[0],m=g[1],y=e.select("text.nums").call(u.font,t.fontFamily||b,t.fontSize||_,t.fontColor||d).text(v).attr("data-notex",1).call(l.positionText,0,0).call(l.convertToTspans,r),w=e.select("text.name"),k=0,A=0;if(m&&m!==v){w.call(u.font,t.fontFamily||b,t.fontSize||_,p).text(m).attr("data-notex",1).call(l.positionText,0,0).call(l.convertToTspans,r);var S=w.node().getBoundingClientRect();k=S.width+2*M,A=S.height+2*M}else w.remove(),e.select("rect").remove();e.select("path").style({fill:f,stroke:d});var E,P,O=y.node().getBoundingClientRect(),F=t.xa._offset+(t.x0+t.x1)/2,B=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),V=O.width+T+M+k;if(t.ty0=z-O.top,t.bx=O.width+2*M,t.by=Math.max(O.height+2*M,A),t.anchor="start",t.txwidth=O.width,t.tx2width=k,t.offset=0,s)t.pos=F,E=B+j/2+V<=D,P=B-j/2-V>=0,"top"!==t.idealAlign&&E||!P?E?(B+=j/2,t.anchor="start"):t.anchor="middle":(B-=j/2,t.anchor="end");else if(t.pos=B,E=F+N/2+V<=I,P=F-N/2-V>=0,"left"!==t.idealAlign&&E||!P)if(E)F+=N/2,t.anchor="start";else{t.anchor="middle";var U=V/2,q=F+U-I,H=F-U;q>0&&(F-=q),H<0&&(F+=-H)}else F-=N/2,t.anchor="end";y.attr("text-anchor",t.anchor),k&&w.attr("text-anchor",t.anchor),e.attr("transform","translate("+F+","+B+")"+(s?"rotate("+x+")":""))}),it}function L(t,e,r,n,a,i){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=I(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: 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i,o=Math.cos(n),s=Math.sin(n),l=Math.sin(2*n),c=s*s,u=o*o,f=Math.sin(r),p=Math.cos(r/2),g=Math.sin(r/2),v=g*g,m=1-u*p*p,x=m?y(o*p)*Math.sqrt(i=1/m):i=0,b=.5*(2*x*o*g+r/d)-t,_=.5*(x*s+n)-e,w=.5*i*(u*v+x*o*p*c)+.5/d,k=i*(f*l/4-x*s*g),T=.125*i*(l*g-x*s*u*f),M=.5*i*(c*p+x*v*o)+.5,A=k*T-M*w,S=(_*k-b*M)/A,E=(b*T-_*w)/A;r-=S,n-=E}while((Math.abs(S)>h||Math.abs(E)>h)&&--a>0);return[r,n]},(t.geo.winkel3=function(){return x(I)}).raw=I}},{}],799:[function(t,e,r){"use strict";var n=t("d3"),a=t("../../lib"),i=t("../../registry"),o=Math.PI/180,s=180/Math.PI,l={cursor:"pointer"},c={cursor:"auto"};function u(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function h(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],c=o._fullLayout,u=c[n],h={},f={};function p(t,e){h[n+"."+t]=a.nestedProperty(l,t).get(),i.call("_storeDirectGUIEdit",s,c._preGUI,h);var 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c}},{"../registry":846,"./cartesian/constants":771}],801:[function(t,e,r){"use strict";var n=t("mouse-change"),a=t("mouse-wheel"),i=t("mouse-event-offset"),o=t("../cartesian/constants"),s=t("has-passive-events");function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}e.exports=function(t){var e=t.mouseContainer,r=t.glplot,c=new l(e,r);function u(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function h(e,n,a){var i,s,l=t.calcDataBox(),h=r.viewBox,f=c.lastPos[0],p=c.lastPos[1],d=o.MINDRAG*r.pixelRatio,g=o.MINZOOM*r.pixelRatio;function v(e,r,n){var a=Math.min(r,n),i=Math.max(r,n);a!==i?(l[e]=a,l[e+2]=i,c.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,a*=r.pixelRatio,a=h[3]-h[1]-a,t.fullLayout.dragmode){case"zoom":if(e){var m=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=a/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=m,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=a),c.boxEnd[0]=m,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-a)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,a=0;a<e.length;a++)if(-1!==e[a][r]){if(-1!==e[a][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{i=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(i*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(i)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(i>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(i=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],i||s?(i&&(v(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(v(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case"pan":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=a),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-a)<d&&(a=c.dragStart[1]),i=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-a)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=i,l[2]+=i,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=a}return c.mouseListener=n(e,h),e.addEventListener("touchstart",function(t){var r=i(t.changedTouches[0],e);h(0,r[0],r[1]),h(1,r[0],r[1]),t.preventDefault()},!!s&&{passive:!1}),e.addEventListener("touchmove",function(t){t.preventDefault();var r=i(t.changedTouches[0],e);h(1,r[0],r[1]),t.preventDefault()},!!s&&{passive:!1}),e.addEventListener("touchend",function(t){h(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()},!!s&&{passive:!1}),c.wheelListener=a(e,function(e,n){if(!t.scrollZoom)return!1;var a=t.calcDataBox(),i=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(i[3]-i[1])),h=o/(i[2]-i[0])*(a[2]-a[0])+a[0],f=s/(i[3]-i[1])*(a[3]-a[1])+a[1];return a[0]=(a[0]-h)*l+h,a[2]=(a[2]-h)*l+h,a[1]=(a[1]-f)*l+f,a[3]=(a[3]-f)*l+f,t.setRanges(a),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0},!0),c}},{"../cartesian/constants":771,"has-passive-events":412,"mouse-change":436,"mouse-event-offset":437,"mouse-wheel":439}],802:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),a=t("../../lib/str2rgbarray");function 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o=i.prototype,s=["xaxis","yaxis"];o.merge=function(t){var e,r,n,i,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=a(t.plot_bgcolor),f=0;f<2;++f){var d=(e=s[f]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?"":r.title.text,p=0;p<=2;p+=2)this.labelEnable[f+p]=!1,this.labels[f+p]=n,this.labelColor[f+p]=a(r.title.font.color),this.labelFont[f+p]=r.title.font.family,this.labelSize[f+p]=r.title.font.size,this.labelPad[f+p]=this.getLabelPad(e,r),this.tickEnable[f+p]=!1,this.tickColor[f+p]=a((r.tickfont||{}).color),this.tickAngle[f+p]="auto"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[f+p]=this.getTickPad(r),this.tickMarkLength[f+p]=0,this.tickMarkWidth[f+p]=r.tickwidth||0,this.tickMarkColor[f+p]=a(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=a(r.linecolor),this.borderLineWidth[f+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,i=r.mirror||!1,u=c?-1!==String(i).indexOf("all"):!!i,h=c?"allticks"===i:-1!==String(i).indexOf("ticks"),o?this.labelEnable[f]=!0:l&&(this.labelEnable[f+2]=!0),o?this.tickEnable[f]=r.showticklabels:l&&(this.tickEnable[f+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[f]=r.showline),(l||u)&&(this.borderLineEnable[f+2]=r.showline),(o||h)&&(this.tickMarkLength[f]=this.getTickMarkLength(r)),(l||h)&&(this.tickMarkLength[f+2]=this.getTickMarkLength(r)),this.gridLineEnable[f]=r.showgrid,this.gridLineColor[f]=a(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=a(r.zerolinecolor),this.zeroLineWidth[f]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return"xaxis"===t?"bottom"===r:"yaxis"===t?"left"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return"xaxis"===t?"top"===r:"yaxis"===t?"right"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return"xaxis"===t?"top"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:"yaxis"===t?"right"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=function(t){return new i(t)}},{"../../lib/str2rgbarray":740,"../cartesian/axes":765}],803:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,a=t("./scene2d"),i=t("../layout_attributes"),o=t("../../constants/xmlns_namespaces"),s=t("../cartesian/constants"),l=t("../cartesian"),c=t("../../components/fx/layout_attributes"),u=t("../get_data").getSubplotData;r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t("../cartesian/attributes"),r.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},"plot","nested"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,"gl2d",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d)0===u(t,"gl2d",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":i,x:0,y:0,width:"100%",height:"100%",preserveAspectRatio:"none"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{"../../components/fx/layout_attributes":631,"../../constants/xmlns_namespaces":694,"../../plot_api/edit_types":748,"../cartesian":776,"../cartesian/attributes":763,"../cartesian/constants":771,"../get_data":800,"../layout_attributes":817,"./scene2d":804}],804:[function(t,e,r){"use strict";var n,a,i=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../../components/fx"),l=t("gl-plot2d"),c=t("gl-spikes2d"),u=t("gl-select-box"),h=t("webgl-context"),f=t("./convert"),p=t("./camera"),d=t("../../lib/show_no_webgl_msg"),g=t("../cartesian/constraints"),v=g.enforce,m=g.clean,y=t("../cartesian/autorange").doAutoRange,x=["xaxis","yaxis"],b=t("../cartesian/constants").SUBPLOT_PATTERN;function _(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=_;var w=_.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement("canvas"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error("Error creating static canvas/context for image server");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(".gl-canvas-focus"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width="100%",r.style.height="100%",r.style.position="absolute",r.style.top="0px",r.style.left="0px",r.style["pointer-events"]="none",this.updateSize(r),r.className+=" user-select-none";var i=this.svgContainer=document.createElementNS("http://www.w3.org/2000/svg","svg");i.style.position="absolute",i.style.top=i.style.left="0px",i.style.width=i.style.height="100%",i.style["z-index"]=20,i.style["pointer-events"]="none";var o=this.mouseContainer=document.createElement("div");o.style.position="absolute",o.style["pointer-events"]="auto",this.pickCanvas=this.container.querySelector(".gl-canvas-pick");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener("mouseout",function(){l.isMouseOver=!1,l.unhover()}),o.addEventListener("mouseover",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t="png"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement("canvas");h.width=r,h.height=a;var f,p=h.getContext("2d"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case"jpeg":f=h.toDataURL("image/jpeg");break;case"webp":f=h.toDataURL("image/webp");break;default:f=h.toDataURL("image/png")}return this.staticPlot&&this.container.removeChild(n),f},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+"";return t},w.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(b),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+".range"]=e.range.slice(),s=a[r._name+".range"]=r.range.slice();a[e._name+".autorange"]=e.autorange,a[r._name+".autorange"]=r.autorange,i.call("_storeDirectGUIEdit",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit("plotly_relayout",a)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod("annotations","drawOne")(t,r)}},w.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener("wheel",this.camera.wheelListener),this.camera=null}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};m(s,this.xaxis),m(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+"px",this.mouseContainer.style.height=u.h*(f[1]-f[0])+"px",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+"px",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+"px",c=0;c<2;++c)(l=this[x[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();v(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},w.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){"lasso"===t||"select"===t?(this.pickCanvas.style["pointer-events"]="none",this.mouseContainer.style["pointer-events"]="none"):(this.pickCanvas.style["pointer-events"]="auto",this.mouseContainer.style["pointer-events"]="auto"),this.mouseContainer.style.cursor="pan"===t?"move":"zoom"===t?"crosshair":null},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},w.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&"zoom"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,"plotly_click"),i&&"skip"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,"plotly_hover");var v=this.fullData[g.trace.index]||{},m=g.pointIndex,y=s.castHoverinfo(v,a,m);if(y&&"all"!==y){var x=y.split("+");-1===x.indexOf("x")&&(g.traceCoord[0]=void 0),-1===x.indexOf("y")&&(g.traceCoord[1]=void 0),-1===x.indexOf("z")&&(g.traceCoord[2]=void 0),-1===x.indexOf("text")&&(g.textLabel=void 0),-1===x.indexOf("name")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter("xaxis",g.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(v,m,"bgcolor")||g.color,borderColor:s.castHoverOption(v,m,"bordercolor"),fontFamily:s.castHoverOption(v,m,"font.family"),fontSize:s.castHoverOption(v,m,"font.size"),fontColor:s.castHoverOption(v,m,"font.color"),nameLength:s.castHoverOption(v,m,"namelength"),textAlign:s.castHoverOption(v,m,"align")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},{"../../components/fx":630,"../../lib/show_no_webgl_msg":738,"../../plots/cartesian/axes":765,"../../registry":846,"../cartesian/autorange":764,"../cartesian/constants":771,"../cartesian/constraints":772,"./camera":801,"./convert":802,"gl-plot2d":290,"gl-select-box":302,"gl-spikes2d":311,"webgl-context":554}],805:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,a=t("../../components/fx/layout_attributes"),i=t("./scene"),o=t("../get_data").getSubplotData,s=t("../../lib"),l=t("../../constants/xmlns_namespaces");r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=r.attrRegex=s.counterRegex("scene"),r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},"plot","nested"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,"gl3d",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(".annotation-"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),"scene"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{"../../components/fx/layout_attributes":631,"../../constants/xmlns_namespaces":694,"../../lib":717,"../../plot_api/edit_types":748,"../get_data":800,"./layout/attributes":806,"./layout/defaults":810,"./layout/layout_attributes":811,"./scene":815}],806:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},{}],807:[function(t,e,r){"use strict";var n=t("../../../components/color"),a=t("../../cartesian/layout_attributes"),i=t("../../../lib/extend").extendFlat,o=t("../../../plot_api/edit_types").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:"boolean",dflt:!0},spikesides:{valType:"boolean",dflt:!0},spikethickness:{valType:"number",min:0,dflt:2},spikecolor:{valType:"color",dflt:n.defaultLine},showbackground:{valType:"boolean",dflt:!1},backgroundcolor:{valType:"color",dflt:"rgba(204, 204, 204, 0.5)"},showaxeslabels:{valType:"boolean",dflt:!0},color:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:["-","linear","log","date","category"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:"rgb(204, 204, 204)"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},"plot","from-root")},{"../../../components/color":591,"../../../lib/extend":708,"../../../plot_api/edit_types":748,"../../cartesian/layout_attributes":777}],808:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,a=t("../../../lib"),i=t("../../../plot_api/plot_template"),o=t("./axis_attributes"),s=t("../../cartesian/type_defaults"),l=t("../../cartesian/axis_defaults"),c=["xaxis","yaxis","zaxis"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f("gridcolor",n(h.color,r.bgColor,13600/187).toRgbString()),f("title.text",d[0]),h.setScale=a.noop,f("showspikes")&&(f("spikesides"),f("spikethickness"),f("spikecolor",h.color)),f("showaxeslabels"),f("showbackground")&&f("backgroundcolor")}}},{"../../../lib":717,"../../../plot_api/plot_template":755,"../../cartesian/axis_defaults":767,"../../cartesian/type_defaults":788,"./axis_attributes":807,tinycolor2:535}],809:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),a=t("../../../lib"),i=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open 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o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,"font"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),"showline"in o&&(this.lineEnable[r]=o.showline),"linecolor"in o&&(this.lineColor[r]=n(o.linecolor)),"linewidth"in o&&(this.lineWidth[r]=o.linewidth),"showgrid"in o&&(this.gridEnable[r]=o.showgrid),"gridcolor"in o&&(this.gridColor[r]=n(o.gridcolor)),"gridwidth"in o&&(this.gridWidth[r]=o.gridwidth),"log"===o.type?this.zeroEnable[r]=!1:"zeroline"in o&&(this.zeroEnable[r]=o.zeroline),"zerolinecolor"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),"zerolinewidth"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),"ticks"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,"ticklen"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),"tickcolor"in o&&(this.lineTickColor[r]=n(o.tickcolor)),"tickwidth"in o&&(this.lineTickWidth[r]=o.tickwidth),"tickangle"in o&&(this.tickAngle[r]="auto"===o.tickangle?-3600:Math.PI*-o.tickangle/180),"showticklabels"in o&&(this.tickEnable[r]=o.showticklabels),"tickfont"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),"mirror"in o?-1!==["ticks","all","allticks"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,"showbackground"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{"../../../lib":717,"../../../lib/str2rgbarray":740}],810:[function(t,e,r){"use strict";var n=t("../../../lib"),a=t("../../../components/color"),i=t("../../../registry"),o=t("../../subplot_defaults"),s=t("./axis_defaults"),l=t("./layout_attributes"),c=t("../../get_data").getSubplotData,u="gl3d";function h(t,e,r,n){for(var o=r("bgcolor"),l=a.combine(o,n.paper_bgcolor),h=["up","center","eye"],f=0;f<h.length;f++)r("camera."+h[f]+".x"),r("camera."+h[f]+".y"),r("camera."+h[f]+".z");r("camera.projection.type");var p=!!r("aspectratio.x")&&!!r("aspectratio.y")&&!!r("aspectratio.z"),d=r("aspectmode",p?"manual":"auto");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},"manual"===d&&(e.aspectmode="auto"),t.aspectmode=e.aspectmode);var g=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var v=n.getDfltFromLayout("dragmode");if(!1!==v&&!v)if(v="orbit",t.camera&&t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,x=t.camera.up.z;0!==x&&(m&&y&&x?x/Math.sqrt(m*m+y*y+x*x)>.999&&(v="turntable"):v="turntable")}else v="turntable";r("dragmode",v),r("hovermode",n.getDfltFromLayout("hovermode"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{"../../../components/color":591,"../../../lib":717,"../../../registry":846,"../../get_data":800,"../../subplot_defaults":840,"./axis_defaults":808,"./layout_attributes":811}],811:[function(t,e,r){"use strict";var n=t("./axis_attributes"),a=t("../../domain").attributes,i=t("../../../lib/extend").extendFlat,o=t("../../../lib").counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}e.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:"enumerated",values:["perspective","orthographic"],dflt:"perspective",editType:"calc"},editType:"calc"},editType:"camera"},domain:a({name:"scene",editType:"plot"}),aspectmode:{valType:"enumerated",values:["auto","cube","data","manual"],dflt:"auto",editType:"plot",impliedEdits:{"aspectratio.x":void 0,"aspectratio.y":void 0,"aspectratio.z":void 0}},aspectratio:{x:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},y:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},z:{valType:"number",min:0,editType:"plot",impliedEdits:{"^aspectmode":"manual"}},editType:"plot",impliedEdits:{aspectmode:"manual"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:"enumerated",values:["orbit","turntable","zoom","pan",!1],editType:"plot"},hovermode:{valType:"enumerated",values:["closest",!1],dflt:"closest",editType:"modebar"},uirevision:{valType:"any",editType:"none"},editType:"plot",_deprecated:{cameraposition:{valType:"info_array",editType:"camera"}}}},{"../../../lib":717,"../../../lib/extend":708,"../../domain":790,"./axis_attributes":807}],812:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),a=["xaxis","yaxis","zaxis"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{"../../../lib/str2rgbarray":740}],813:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if("auto"===u.tickmode){u.tickmode="linear";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],"date"===u.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[c]=p,u.tickmode=h}}e.ticks=l;for(var c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(var d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t("../../cartesian/axes"),a=t("../../../lib"),i=["xaxis","yaxis","zaxis"],o=[0,0,0]},{"../../../lib":717,"../../cartesian/axes":765}],814:[function(t,e,r){"use strict";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],815:[function(t,e,r){"use strict";var n,a,i=t("gl-plot3d"),o=i.createCamera,s=i.createScene,l=t("webgl-context"),c=t("has-passive-events"),u=t("../../registry"),h=t("../../lib"),f=t("../../plots/cartesian/axes"),p=t("../../components/fx"),d=t("../../lib/str2rgbarray"),g=t("../../lib/show_no_webgl_msg"),v=t("./project"),m=t("./layout/convert"),y=t("./layout/spikes"),x=t("./layout/tick_marks"),b=t("is-mobile")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement("div"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS("http://www.w3.org/2000/svg","svg");a.style.position="absolute",a.style.top=a.style.left="0px",a.style.width=a.style.height="100%",a.style["z-index"]=20,a.style["pointer-events"]="none",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position="absolute",r.style.top=r.style.left="0px",r.style.width=r.style.height="100%",n.appendChild(r),this.fullLayout=e,this.id=t.id||"scene",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod("annotations3d","convert"),this.drawAnnotations=u.getComponentMethod("annotations3d","draw"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement("canvas"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn(["webgl setup failed possibly due to",b?"disabling":"enabling","preserveDrawingBuffer config.","The device may not be supported by is-mobile module!","Inverting preserveDrawingBuffer option in second attempt to create webgl scene."].join(" ")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e="orthographic"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:"orbit"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+".camera"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+".aspectratio"]=t.glplot.getAspectratio(),"manual"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+".aspectmode"]="manual")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas.addEventListener("mouseup",function(){a(t)}),t.glplot.canvas.addEventListener("wheel",function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}},!!c&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit("plotly_relayouting",e)}}),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",function(r){e&&e.emit&&e.emit("plotly_webglcontextlost",{event:r,layer:t.id})},!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,"viewBox","0 0 "+i+" "+o),n.setAttributeNS(null,"width",i),n.setAttributeNS(null,"height",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)"skip"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),"hover").text}if(null!==c){var m=v(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g("xaxis",u.traceCoordinate[0]),yLabel:g("yaxis",u.traceCoordinate[1]),zLabel:g("zaxis",u.traceCoordinate[2])},k=p.castHoverinfo(b,e.fullLayout,_),T=(k||"").split("+"),M=k&&"all"===k;b.hovertemplate||M||(-1===T.indexOf("x")&&(w.xLabel=void 0),-1===T.indexOf("y")&&(w.yLabel=void 0),-1===T.indexOf("z")&&(w.zLabel=void 0),-1===T.indexOf("text")&&(u.textLabel=void 0),-1===T.indexOf("name")&&(c.name=void 0));var A=[];"cone"===t.type||"streamtube"===t.type?(w.uLabel=g("xaxis",u.traceCoordinate[3]),(M||-1!==T.indexOf("u"))&&A.push("u: "+w.uLabel),w.vLabel=g("yaxis",u.traceCoordinate[4]),(M||-1!==T.indexOf("v"))&&A.push("v: "+w.vLabel),w.wLabel=g("zaxis",u.traceCoordinate[5]),(M||-1!==T.indexOf("w"))&&A.push("w: "+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==T.indexOf("norm"))&&A.push("norm: "+w.normLabel),"streamtube"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==T.indexOf("divergence"))&&A.push("divergence: "+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join("<br>")):"isosurface"===t.type||"volume"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),"hover").text,A.push("value: "+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join("<br>")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*m[0]/m[3])*i,y:(.5-.5*m[1]/m[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,"bgcolor")||c.color,borderColor:p.castHoverOption(b,_,"bordercolor"),fontFamily:p.castHoverOption(b,_,"font.family"),fontSize:p.castHoverOption(b,_,"font.size"),fontColor:p.castHoverOption(b,_,"font.color"),nameLength:p.castHoverOption(b,_,"namelength"),textAlign:p.castHoverOption(b,_,"align"),hovertemplate:h.castOption(b,_,"hovertemplate"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit("plotly_click",E):r.emit("plotly_hover",E),s=E}else p.loneUnhover(n),r.emit("plotly_unhover",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error("Catastrophic and unrecoverable WebGL error. 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n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&T(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=k[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var 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w=x[o],M=w.bounds,A=w._trace.data._pad||0;"ErrorBars"===w.constructor.name&&s._lowerLogErrorBound?v[0][i]=Math.min(v[0][i],s._lowerLogErrorBound):v[0][i]=Math.min(v[0][i],M[0][i]/f[i]-A),v[1][i]=Math.max(v[1][i],M[1][i]/f[i]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);v[0][i]=Math.min(v[0][i],E),v[1][i]=Math.max(v[1][i],E)}}if("rangemode"in s&&"tozero"===s.rangemode&&(v[0][i]=Math.min(v[0][i],0),v[1][i]=Math.max(v[1][i],0)),v[0][i]>v[1][i])v[0][i]=-1,v[1][i]=1;else{var L=v[1][i]-v[0][i];v[0][i]-=L/32,v[1][i]+=L/32}if("reversed"===s.autorange){var C=v[0][i];v[0][i]=v[1][i],v[1][i]=C}}else{var P=s.range;v[0][i]=s.r2l(P[0]),v[1][i]=s.r2l(P[1])}v[0][i]===v[1][i]&&(v[0][i]-=1,v[1][i]+=1),m[i]=v[1][i]-v[0][i],this.glplot.setBounds(i,{min:v[0][i]*f[i],max:v[1][i]*f[i]})}var O=c.aspectmode;if("cube"===O)g=[1,1,1];else if("manual"===O){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if("auto"!==O&&"data"!==O)throw new Error("scene.js aspectRatio was not one of the enumerated 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B=this.container.style;B.position="absolute",B.left=F.l+R.x[0]*F.w+"px",B.top=F.t+(1-R.y[1])*F.h+"px",B.width=F.w*(R.x[1]-R.x[0])+"px",B.height=F.h*(R.y[1]-R.y[0])+"px"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener("wheel",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?"orthographic":"perspective"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),"orthographic"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+".camera").get();function n(t,e,r,n){var a=["up","center","eye"],i=["x","y","z"];return e[a[r]]&&t[a[r]][i[n]]===e[a[r]][i[n]]}var a=!1;if(void 0===r)a=!0;else{for(var i=0;i<3;i++)for(var o=0;o<3;o++)if(!n(e,r,i,o)){a=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(a=!0)}return a},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=h.nestedProperty(t,this.id+".aspectratio").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,a,i,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),f=l||c;if(f){var p={};if(l&&(e=this.getCamera(),n=(r=h.nestedProperty(t,this.id+".camera")).get(),p[this.id+".camera"]=n),c&&(a=this.glplot.getAspectratio(),o=(i=h.nestedProperty(t,this.id+".aspectratio")).get(),p[this.id+".aspectratio"]=o),u.call("_storeDirectGUIEdit",t,s._preGUI,p),l)r.set(e),h.nestedProperty(s,this.id+".camera").set(e);if(c)i.set(a),h.nestedProperty(s,this.id+".aspectratio").set(a),this.glplot.redraw()}return f},w.updateFx=function(t,e){var r=this.camera;if(r)if("orbit"===t)r.mode="orbit",r.keyBindingMode="rotate";else if("turntable"===t){r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate";var n=this.graphDiv,a=n._fullLayout,i=this.fullSceneLayout.camera,o=i.up.x,s=i.up.y,l=i.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+".camera.up",f={x:0,y:0,z:1},p={};p[c]=f;var d=n.layout;u.call("_storeDirectGUIEdit",d,a._preGUI,p),i.up=f,h.nestedProperty(d,c).set(f)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i),function(t,e,r){for(var n=0,a=r-1;n<a;++n,--a)for(var i=0;i<e;++i)for(var o=0;o<4;++o){var s=4*(e*n+i)+o,l=4*(e*a+i)+o,c=t[s];t[s]=t[l],t[l]=c}}(i,r,a),function(t,e,r){for(var n=0;n<r;++n)for(var a=0;a<e;++a){var i=4*(e*n+a),o=t[i+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[i+l]=Math.min(s*t[i+l],255)}}(i,r,a);var o=document.createElement("canvas");o.width=r,o.height=a;var s,l=o.getContext("2d"),c=l.createImageData(r,a);switch(c.data.set(i),l.putImageData(c,0,0),t){case"jpeg":s=o.toDataURL("image/jpeg");break;case"webp":s=o.toDataURL("image/webp");break;default:s=o.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];f.setConvert(e,this.fullLayout),e.setScale=h.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},f.setConvert(this._mockAxis,t)},e.exports=_},{"../../components/fx":630,"../../lib":717,"../../lib/show_no_webgl_msg":738,"../../lib/str2rgbarray":740,"../../plots/cartesian/axes":765,"../../registry":846,"./layout/convert":809,"./layout/spikes":812,"./layout/tick_marks":813,"./project":814,"gl-plot3d":293,"has-passive-events":412,"is-mobile":421,"webgl-context":554}],816:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){n=n||t.length;for(var a=new Array(n),i=0;i<n;i++)a[i]=[t[i],e[i],r[i]];return a}},{}],817:[function(t,e,r){"use strict";var n=t("./font_attributes"),a=t("./animation_attributes"),i=t("../components/color/attributes"),o=t("./pad_attributes"),s=t("../lib/extend").extendFlat,l=n({editType:"calc"});l.family.dflt='"Open Sans", verdana, arial, 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CARTO</a>',tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-positron",type:"raster",source:"plotly-carto-positron",minzoom:0,maxzoom:22}]},"carto-darkmatter":{id:"carto-darkmatter",version:8,sources:{"plotly-carto-darkmatter":{type:"raster",attribution:'<a href="https://carto.com/" target="_blank">\xa9 CARTO</a>',tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-darkmatter",type:"raster",source:"plotly-carto-darkmatter",minzoom:0,maxzoom:22}]},"stamen-terrain":{id:"stamen-terrain",version:8,sources:{"plotly-stamen-terrain":{type:"raster",attribution:'Map tiles by <a href="http://stamen.com">Stamen Design</a>, under <a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a> | Data by <a href="http://openstreetmap.org">OpenStreetMap</a>, under <a 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n=t("mapbox-gl"),a=t("../../lib"),i=t("../../plots/get_data").getSubplotCalcData,o=t("../../constants/xmlns_namespaces"),s=t("d3"),l=t("../../components/drawing"),c=t("../../lib/svg_text_utils"),u=t("./mapbox"),h=r.constants=t("./constants");function f(t){return"string"==typeof t&&(-1!==h.styleValuesMapbox.indexOf(t)||0===t.indexOf("mapbox://"))}r.name="mapbox",r.attr="subplot",r.idRoot="mapbox",r.idRegex=r.attrRegex=a.counterRegex("mapbox"),r.attributes={subplot:{valType:"subplotid",dflt:"mapbox",editType:"calc"}},r.layoutAttributes=t("./layout_attributes"),r.supplyLayoutDefaults=t("./layout_defaults"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,o=e._subplots.mapbox;if(n.version!==h.requiredVersion)throw new Error(h.wrongVersionErrorMsg);var s=function(t,e){var r=t._fullLayout;if(""===t._context.mapboxAccessToken)return"";for(var n=[],i=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;f(c.style)&&(u?a.pushUnique(n,u):(f(c._input.style)&&(a.error("Uses Mapbox map 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i=e[r[a]],u=i.domain,f=i._subplot.toImage("png");e._glimages.append("svg:image").attr({xmlns:o.svg,"xlink:href":f,x:n.l+n.w*u.x[0],y:n.t+n.h*(1-u.y[1]),width:n.w*(u.x[1]-u.x[0]),height:n.h*(u.y[1]-u.y[0]),preserveAspectRatio:"none"});var p=s.select(i._subplot.div);if(!(null===p.select(".mapboxgl-ctrl-logo").node().offsetParent)){var d=e._glimages.append("g");d.attr("transform","translate("+(n.l+n.w*u.x[0]+10)+", "+(n.t+n.h*(1-u.y[0])-31)+")"),d.append("path").attr("d",h.mapboxLogo.path0).style({opacity:.9,fill:"#ffffff","enable-background":"new"}),d.append("path").attr("d",h.mapboxLogo.path1).style("opacity",.35).style("enable-background","new"),d.append("path").attr("d",h.mapboxLogo.path2).style("opacity",.35).style("enable-background","new"),d.append("polygon").attr("points",h.mapboxLogo.polygon).style({opacity:.9,fill:"#ffffff","enable-background":"new"})}var g=p.select(".mapboxgl-ctrl-attrib").text().replace("Improve this map",""),v=e._glimages.append("g"),m=v.append("text");m.text(g).classed("static-attribution",!0).attr({"font-size":12,"font-family":"Arial",color:"rgba(0, 0, 0, 0.75)","text-anchor":"end","data-unformatted":g});var y=l.bBox(m.node()),x=n.w*(u.x[1]-u.x[0]);if(y.width>x/2){var b=g.split("|").join("<br>");m.text(b).attr("data-unformatted",b).call(c.convertToTspans,t),y=l.bBox(m.node())}m.attr("transform","translate(-3, "+(8-y.height)+")"),v.insert("rect",".static-attribution").attr({x:-y.width-6,y:-y.height-3,width:y.width+6,height:y.height+3,fill:"rgba(255, 255, 255, 0.75)"});var _=1;y.width+6>x&&(_=x/(y.width+6));var w=[n.l+n.w*u.x[1],n.t+n.h*(1-u.y[0])];v.attr("transform","translate("+w[0]+","+w[1]+") scale("+_+")")}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.mapbox,n=0;n<r.length;n++){e[r[n]]._subplot.updateFx(e)}}},{"../../components/drawing":612,"../../constants/xmlns_namespaces":694,"../../lib":717,"../../lib/svg_text_utils":741,"../../plots/get_data":800,"./constants":818,"./layout_attributes":822,"./layout_defaults":823,"./mapbox":824,d3:165,"mapbox-gl":427}],821:[function(t,e,r){"use strict";var n=t("../../lib"),a=t("./convert_text_opts"),i=t("./constants");function o(t,e){this.subplot=t,this.uid=t.uid+"-"+e,this.index=e,this.idSource="source-"+this.uid,this.idLayer=i.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var s=o.prototype;function l(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if("string"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||"string"==typeof e&&e.length>0}function c(t){var e={},r={};switch(t.type){case"circle":n.extendFlat(r,{"circle-radius":t.circle.radius,"circle-color":t.color,"circle-opacity":t.opacity});break;case"line":n.extendFlat(r,{"line-width":t.line.width,"line-color":t.color,"line-opacity":t.opacity,"line-dasharray":t.line.dash});break;case"fill":n.extendFlat(r,{"fill-color":t.color,"fill-outline-color":t.fill.outlinecolor,"fill-opacity":t.opacity});break;case"symbol":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{"icon-image":i.icon+"-15","icon-size":i.iconsize/10,"text-field":i.text,"text-size":i.textfont.size,"text-anchor":o.anchor,"text-offset":o.offset,"symbol-placement":i.placement}),n.extendFlat(r,{"icon-color":t.color,"text-color":i.textfont.color,"text-opacity":t.opacity});break;case"raster":n.extendFlat(r,{"raster-fade-duration":0,"raster-opacity":t.opacity})}return{layout:e,paint:r}}s.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=l(t)},s.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&"image"===this.sourceType&&"image"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},s.needsNewSource=function(t){return 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u=o[s].id;if("string"==typeof u&&0===u.indexOf(i.traceLayerPrefix)){e=u;break}}else e=a;this.removeLayer(),l(t)&&r.addLayer({id:this.idLayer,source:this.idSource,"source-layer":t.sourcelayer||"",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:n.layout,paint:n.paint},e),this.layerType=t.type,this.below=a},s.updateStyle=function(t){if(l(t)){var e=c(t);this.subplot.setOptions(this.idLayer,"setLayoutProperty",e.layout),this.subplot.setOptions(this.idLayer,"setPaintProperty",e.paint)}},s.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},s.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new o(t,e);return n.update(r),n}},{"../../lib":717,"./constants":818,"./convert_text_opts":819}],822:[function(t,e,r){"use strict";var n=t("../../lib"),a=t("../../components/color").defaultLine,i=t("../domain").attributes,o=t("../font_attributes"),s=t("../../traces/scatter/attributes").textposition,l=t("../../plot_api/edit_types").overrideAll,c=t("../../plot_api/plot_template").templatedArray,u=t("./constants"),h=o({});h.family.dflt="Open Sans Regular, Arial Unicode MS 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strict";var n=t("../../lib"),a=t("../subplot_defaults"),i=t("../array_container_defaults"),o=t("./layout_attributes");function s(t,e,r,n){r("accesstoken",n.accessToken),r("style"),r("center.lon"),r("center.lat"),r("zoom"),r("bearing"),r("pitch"),i(t,e,{name:"layers",handleItemDefaults:l}),e._input=t}function l(t,e){function r(r,a){return n.coerce(t,e,o.layers,r,a)}if(r("visible")){var a,i=r("sourcetype"),s="raster"===i||"image"===i;r("source"),r("sourceattribution"),"vector"===i&&r("sourcelayer"),"image"===i&&r("coordinates"),s&&(a="raster");var l=r("type",a);s&&"raster"!==l&&(l=e.type="raster",n.log("Source types *raster* and *image* must drawn *raster* layer 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t[n].data.opacity},display:function(e,r,n){return"undefined"==typeof t[n].data.visible||t[n].data.visible?"block":"none"}},g=n.select(this).selectAll("g.layer").data(o);g.enter().append("g").attr({class:"layer"});var v=g.selectAll("path.mark").data(function(t,e){return t});v.enter().append("path").attr({class:"mark"}),v.style(d).each(c[e.geometryType]),v.exit().remove(),g.exit().remove()})}return i.config=function(e){return arguments.length?(e.forEach(function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)}),this):t},i.getColorScale=function(){},n.rebind(i,e,"on"),i},o.PolyChart.defaultConfig=function(){return{data:{name:"geom1",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:"circle",dotSize:64,dotVisible:!1,barWidth:20,color:"#ffa500",strokeSize:1,strokeColor:"silver",strokeDash:"solid",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:"LinePlot",geometryType:"arc",direction:"clockwise",orientation:0,container:"body",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:"bar"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:"arc"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:"dot",dotType:"circle"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:"line"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch("hover");function r(){var e=t.legendConfig,i=t.data.map(function(t,r){return[].concat(t).map(function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i})}),o=n.merge(i);o=o.filter(function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||"undefined"==typeof e.elements[r].visibleInLegend)}),e.reverseOrder&&(o=o.reverse());var s=e.container;("string"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map(function(t,e){return t.color}),c=e.fontSize,u=null==e.isContinuous?"number"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed("legend-group",!0).selectAll("svg").data([0]),p=f.enter().append("svg").attr({width:300,height:h+c,xmlns:"http://www.w3.org/2000/svg","xmlns:xlink":"http://www.w3.org/1999/xlink",version:"1.1"});p.append("g").classed("legend-axis",!0),p.append("g").classed("legend-marks",!0);var d=n.range(o.length),g=n.scale[u?"linear":"ordinal"]().domain(d).range(l),v=n.scale[u?"linear":"ordinal"]().domain(d)[u?"range":"rangePoints"]([0,h]);if(u){var m=f.select(".legend-marks").append("defs").append("linearGradient").attr({id:"grad1",x1:"0%",y1:"0%",x2:"0%",y2:"100%"}).selectAll("stop").data(l);m.enter().append("stop"),m.attr({offset:function(t,e){return e/(l.length-1)*100+"%"}}).style({"stop-color":function(t,e){return t}}),f.append("rect").classed("legend-mark",!0).attr({height:e.height,width:e.colorBandWidth,fill:"url(#grad1)"})}else{var y=f.select(".legend-marks").selectAll("path.legend-mark").data(o);y.enter().append("path").classed("legend-mark",!0),y.attr({transform:function(t,e){return"translate("+[c/2,v(e)+c/2]+")"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),"line"===(r=o)?"M"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+"Z":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type("square").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(v).orient("right"),b=f.select("g.legend-axis").attr({transform:"translate("+[u?e.colorBandWidth:c,c/2]+")"}).call(x);return b.selectAll(".domain").style({fill:"none",stroke:"none"}),b.selectAll("line").style({fill:"none",stroke:u?e.textColor:"none"}),b.selectAll("text").style({fill:e.textColor,"font-size":e.fontSize}).text(function(t,e){return o[e].name}),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,"on"),r},o.Legend.defaultConfig=function(t,e){return{data:["a","b","c"],legendConfig:{elements:[{symbol:"line",color:"red"},{symbol:"square",color:"yellow"},{symbol:"diamond",color:"limegreen"}],height:150,colorBandWidth:30,fontSize:12,container:"body",isContinuous:null,textColor:"grey",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:"white",padding:5},s="tooltip-"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll("g."+s).data([0])).enter().append("g").classed(s,!0).style({"pointer-events":"none",display:"none"});return r=n.append("path").style({fill:"white","fill-opacity":.9}).attr({d:"M0 0"}),e=n.append("text").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?"#aaa":"white",u=o>=.5?"black":"white",h=a||"";e.style({fill:u,"font-size":i.fontSize+"px"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,"stroke-width":"2px"},g=p.width+2*f+l,v=p.height+2*f;return r.attr({d:"M"+[[l,-v/2],[l,-v/4],[i.hasTick?0:l,0],[l,v/4],[l,v/2],[g,v/2],[g,-v/2]].join("L")+"Z"}).style(d),t.attr({transform:"translate("+[l,-v/2+2*f]+")"}),t.style({display:"block"}),c},c.move=function(e){if(t)return t.attr({transform:"translate("+[e[0],e[1]]+")"}).style({display:"block"}),c},c.hide=function(){if(t)return t.style({display:"none"}),c},c.show=function(){if(t)return t.style({display:"block"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map(function(t,r){var n=a({},t);return[[n,["marker","color"],["color"]],[n,["marker","opacity"],["opacity"]],[n,["marker","line","color"],["strokeColor"]],[n,["marker","line","dash"],["strokeDash"]],[n,["marker","line","width"],["strokeSize"]],[n,["marker","symbol"],["dotType"]],[n,["marker","size"],["dotSize"]],[n,["marker","barWidth"],["barWidth"]],[n,["line","interpolation"],["lineInterpolation"]],[n,["showlegend"],["visibleInLegend"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e||delete n.marker,e&&delete n.groupId,e?("LinePlot"===n.geometry?(n.type="scatter",!0===n.dotVisible?(delete n.dotVisible,n.mode="lines+markers"):n.mode="lines"):"DotPlot"===n.geometry?(n.type="scatter",n.mode="markers"):"AreaChart"===n.geometry?n.type="area":"BarChart"===n.geometry&&(n.type="bar"),delete n.geometry):("scatter"===n.type?"lines"===n.mode?n.geometry="LinePlot":"markers"===n.mode?n.geometry="DotPlot":"lines+markers"===n.mode&&(n.geometry="LinePlot",n.dotVisible=!0):"area"===n.type?n.geometry="AreaChart":"bar"===n.type&&(n.geometry="BarChart"),delete n.mode,delete n.type),n}),!e&&t.layout&&"stack"===t.layout.barmode)){var i=o.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)})}if(t.layout){var s=a({},t.layout);if([[s,["plot_bgcolor"],["backgroundColor"]],[s,["showlegend"],["showLegend"]],[s,["radialaxis"],["radialAxis"]],[s,["angularaxis"],["angularAxis"]],[s.angularaxis,["showline"],["gridLinesVisible"]],[s.angularaxis,["showticklabels"],["labelsVisible"]],[s.angularaxis,["nticks"],["ticksCount"]],[s.angularaxis,["tickorientation"],["tickOrientation"]],[s.angularaxis,["ticksuffix"],["ticksSuffix"]],[s.angularaxis,["range"],["domain"]],[s.angularaxis,["endpadding"],["endPadding"]],[s.radialaxis,["showline"],["gridLinesVisible"]],[s.radialaxis,["tickorientation"],["tickOrientation"]],[s.radialaxis,["ticksuffix"],["ticksSuffix"]],[s.radialaxis,["range"],["domain"]],[s.angularAxis,["showline"],["gridLinesVisible"]],[s.angularAxis,["showticklabels"],["labelsVisible"]],[s.angularAxis,["nticks"],["ticksCount"]],[s.angularAxis,["tickorientation"],["tickOrientation"]],[s.angularAxis,["ticksuffix"],["ticksSuffix"]],[s.angularAxis,["range"],["domain"]],[s.angularAxis,["endpadding"],["endPadding"]],[s.radialAxis,["showline"],["gridLinesVisible"]],[s.radialAxis,["tickorientation"],["tickOrientation"]],[s.radialAxis,["ticksuffix"],["ticksSuffix"]],[s.radialAxis,["range"],["domain"]],[s.font,["outlinecolor"],["outlineColor"]],[s.legend,["traceorder"],["reverseOrder"]],[s,["labeloffset"],["labelOffset"]],[s,["defaultcolorrange"],["defaultColorRange"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?("undefined"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&"undefined"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&"undefined"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&"boolean"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder="normal"!=s.legend.reverseOrder),s.legend&&"boolean"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?"reversed":"normal",delete s.legend.reverseOrder),s.margin&&"undefined"!=typeof s.margin.t){var l=["t","r","b","l","pad"],c=["top","right","bottom","left","pad"],u={};n.entries(s.margin).forEach(function(t,e){u[c[l.indexOf(t.key)]]=t.value}),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{"../../../constants/alignment":686,"../../../lib":717,d3:165}],836:[function(t,e,r){"use strict";var n=t("d3"),a=t("../../../lib"),i=t("../../../components/color"),o=t("./micropolar"),s=t("./undo_manager"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(".svg-container>*:not(.chart-root)").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(".plot-container"),r=e.selectAll(".svg-container"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{"../../../components/color":591,"../../../lib":717,"./micropolar":835,"./undo_manager":837,d3:165}],837:[function(t,e,r){"use strict";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n?this:(e.splice(r+1,e.length-r),e.push(t),r=e.length-1,this)},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,"undo"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,"redo"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],838:[function(t,e,r){"use strict";var n=t("d3"),a=t("tinycolor2"),i=t("../../registry"),o=t("../../lib"),s=t("../../components/color"),l=t("../../components/drawing"),c=t("../plots"),u=t("../../plots/cartesian/axes"),h=t("../cartesian/set_convert"),f=t("./set_convert"),p=t("../cartesian/autorange").doAutoRange,d=t("../cartesian/dragbox"),g=t("../../components/dragelement"),v=t("../../components/fx"),m=t("../../components/titles"),y=t("../cartesian/select").prepSelect,x=t("../cartesian/select").selectOnClick,b=t("../cartesian/select").clearSelect,_=t("../../lib/setcursor"),w=t("../../lib/clear_gl_canvases"),k=t("../../plot_api/subroutines").redrawReglTraces,T=t("../../constants/alignment").MID_SHIFT,M=t("./constants"),A=t("./helpers"),S=o._,E=o.mod,L=o.deg2rad,C=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n="clip"+r._uid+e;this.clipIds.forTraces=n+"-for-traces",this.clipPaths.forTraces=r._clips.append("clipPath").attr("id",this.clipIds.forTraces),this.clipPaths.forTraces.append("path"),this.framework=r._polarlayer.append("g").attr("class",e),this.radialTickLayout=null,this.angularTickLayout=null}var O=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return"side"in t&&(e+=t.side),e}function I(t,e){return e[o.findIndexOfMin(e,function(e){return o.angleDist(t,e)})]}function D(t,e,r){return e?(t.attr("display",null),t.attr(r)):t&&t.attr("display","none"),t}function R(t,e){return"translate("+t+","+e+")"}function F(t){return"rotate("+t+")"}e.exports=function(t,e){return new P(t,e)},O.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var 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e=r[t]=n.select(this);switch(t){case"frontplot":e.append("g").classed("barlayer",!0),e.append("g").classed("scatterlayer",!0);break;case"backplot":e.append("g").classed("maplayer",!0);break;case"plotbg":r.bg=e.append("path");break;case"radial-grid":case"angular-grid":e.style("fill","none");break;case"radial-line":e.append("line").style("fill","none");break;case"angular-line":e.append("path").style("fill","none")}}),h.order()},O.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(L);var p,d,g,v,m,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(L(s)),u=Math.sin(L(s)),h=Math.cos(L(l)),f=Math.sin(L(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,m=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],v=[c[0]+m,c[1]-m]):(d=h,m=(u-(p=h/w))/n.w/2,g=[o[0]+m,o[1]-m],v=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=v;var k=this.xOffset2=n.l+n.w*g[0],T=this.yOffset2=n.t+n.h*(1-v[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=k-M*y[0],C=this.cy=T+M*y[3],P=this.cxx=S-k,O=this.cyy=C-T;this.radialAxis=this.mockAxis(t,e,a,{_id:"x",side:{counterclockwise:"top",clockwise:"bottom"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:"right",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:"x",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:"y",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select("path").attr("d",z).attr("transform",R(P,O)),r.frontplot.attr("transform",R(k,T)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr("d",z).attr("transform",R(S,C)).call(s.fill,e.bgcolor)},O.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return 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v=function(t){return"translate("+(d.l2p(t.x)+l)+",0)"},m=z(f);if(r.radialTickLayout!==m&&(a["radial-axis"].selectAll(".xtick").remove(),r.radialTickLayout=m),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a["radial-axis"],path:u.makeTickPath(d,0,b),transFn:v,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a["radial-grid"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a["radial-axis"],transFn:v,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?C(I(L(f.angle),r.vangles)):f.angle,w=R(c,h),k=w+F(-_);D(a["radial-axis"],g&&(f.showticklabels||f.ticks),{transform:k}),D(a["radial-grid"],g&&f.showgrid,{transform:w}),D(a["radial-line"].select("line"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:k}).attr("stroke-width",f.linewidth).call(s.stroke,f.linecolor)},O.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+"title",u=void 0!==r?r:this.radialAxisAngle,h=L(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers["radial-axis"].node()).height,v=s.title.font.size;d="counterclockwise"===s.side?-g-.4*v:g+.8*v}this.layers["radial-axis-title"]=m.draw(n,c,{propContainer:s,propName:this.id+".radialaxis.title",placeholder:S(n,"Click to enter radial axis title"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,"text-anchor":"middle"},transform:{rotate:-u}})},O.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey("angularaxis.rotation",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};"linear"===p.type&&"radians"===p.thetaunit&&(p.tick0=C(p.tick0),p.dtick=C(p.dtick));var g=function(t){return R(c+i*Math.cos(t),h-i*Math.sin(t))},v=u.makeLabelFns(p,0).labelStandoff,m={xFn:function(t){var e=d(t);return Math.cos(e)*v},yFn:function(t){var e=d(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(v+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*T)},anchorFn:function(t){var e=d(t),r=Math.cos(e);return Math.abs(r)<.1?"middle":r>0?"start":"end"},heightFn:function(t,e,r){var n=d(t);return-.5*(1+Math.sin(n))*r}},y=z(f);r.angularTickLayout!==y&&(a["angular-axis"].selectAll("."+p._id+"tick").remove(),r.angularTickLayout=y);var x,b=u.calcTicks(p);if("linear"===e.gridshape?(x=b.map(d),o.angleDelta(x[0],x[1])<0&&(x=x.slice().reverse())):x=null,r.vangles=x,"category"===p.type&&(b=b.filter(function(t){return o.isAngleInsideSector(d(t),r.sectorInRad)})),p.visible){var _="inside"===p.ticks?-1:1,w=(p.linewidth||1)/2;u.drawTicks(n,p,{vals:b,layer:a["angular-axis"],path:"M"+_*w+",0h"+_*p.ticklen,transFn:function(t){var e=d(t);return g(e)+F(-C(e))},crisp:!1}),u.drawGrid(n,p,{vals:b,layer:a["angular-grid"],path:function(t){var e=d(t),r=Math.cos(e),n=Math.sin(e);return"M"+[c+l*r,h-l*n]+"L"+[c+i*r,h-i*n]},transFn:o.noop,crisp:!1}),u.drawLabels(n,p,{vals:b,layer:a["angular-axis"],repositionOnUpdate:!0,transFn:function(t){return g(d(t))},labelFns:m})}D(a["angular-line"].select("path"),f.showline,{d:r.pathSubplot(),transform:R(c,h)}).attr("stroke-width",f.linewidth).call(s.stroke,f.linecolor)},O.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},O.updateMainDrag=function(t){var e=this,r=e.gd,o=e.layers,s=t._zoomlayer,l=M.MINZOOM,c=M.OFFEDGE,u=e.radius,h=e.innerRadius,f=e.cx,p=e.cy,m=e.cxx,_=e.cyy,w=e.sectorInRad,k=e.vangles,T=e.radialAxis,S=A.clampTiny,E=A.findXYatLength,L=A.findEnclosingVertexAngles,C=M.cornerHalfWidth,P=M.cornerLen/2,O=d.makeDragger(o,"path","maindrag","crosshair");n.select(O).attr("d",e.pathSubplot()).attr("transform",R(f,p));var z,I,D,F,B,N,j,V,U,q={element:O,gd:r,subplot:e.id,plotinfo:{id:e.id,xaxis:e.xaxis,yaxis:e.yaxis},xaxes:[e.xaxis],yaxes:[e.yaxis]};function H(t,e){return Math.sqrt(t*t+e*e)}function G(t,e){return H(t-m,e-_)}function Y(t,e){return Math.atan2(_-e,t-m)}function W(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function X(t,r){if(0===t)return e.pathSector(2*C);var n=P/t,a=r-n,i=r+n,o=Math.max(0,Math.min(t,u)),s=o-C,l=o+C;return"M"+W(s,a)+"A"+[s,s]+" 0,0,0 "+W(s,i)+"L"+W(l,i)+"A"+[l,l]+" 0,0,1 "+W(l,a)+"Z"}function Z(t,r,n){if(0===t)return e.pathSector(2*C);var a,i,o=W(t,r),s=W(t,n),l=S((o[0]+s[0])/2),c=S((o[1]+s[1])/2);if(l&&c){var u=c/l,h=-1/u,f=E(C,u,l,c);a=E(P,h,f[0][0],f[0][1]),i=E(P,h,f[1][0],f[1][1])}else{var p,d;c?(p=P,d=C):(p=C,d=P),a=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return"M"+a.join("L")+"L"+i.reverse().join("L")+"Z"}function J(t,e){return e=Math.max(Math.min(e,u),h),t<c?t=0:u-t<c?t=u:e<c?e=0:u-e<c&&(e=u),Math.abs(e-t)>l?(t<e?(D=t,F=e):(D=e,F=t),!0):(D=null,F=null,!1)}function K(t,e){t=t||B,e=e||"M0,0Z",V.attr("d",t),U.attr("d",e),d.transitionZoombox(V,U,N,j),N=!0;var n={};rt(n),r.emit("plotly_relayouting",n)}function Q(t,r){var n,a,i=z+t,o=I+r,s=G(z,I),l=Math.min(G(i,o),u),c=Y(z,I);J(s,l)&&(n=B+e.pathSector(F),D&&(n+=e.pathSector(D)),a=X(D,c)+X(F,c)),K(n,a)}function $(t,e,r,n){var a=A.findIntersectionXY(r,n,r,[t-m,_-e]);return H(a[0],a[1])}function tt(t,r){var n,a,i=z+t,o=I+r,s=Y(z,I),l=Y(i,o),c=L(s,k),h=L(l,k);J($(z,I,c[0],c[1]),Math.min($(i,o,h[0],h[1]),u))&&(n=B+e.pathSector(F),D&&(n+=e.pathSector(D)),a=[Z(D,c[0],c[1]),Z(F,c[0],c[1])].join(" ")),K(n,a)}function et(){if(d.removeZoombox(r),null!==D&&null!==F){var t={};rt(t),d.showDoubleClickNotifier(r),i.call("_guiRelayout",r,t)}}function rt(t){var r=T._rl,n=(r[1]-r[0])/(1-h/u)/u,a=[r[0]+(D-h)*n,r[0]+(F-h)*n];t[e.id+".radialaxis.range"]=a}function nt(t,n){var a=r._fullLayout.clickmode;if(d.removeZoombox(r),2===t){var o={};for(var s in e.viewInitial)o[e.id+"."+s]=e.viewInitial[s];r.emit("plotly_doubleclick",null),i.call("_guiRelayout",r,o)}a.indexOf("select")>-1&&1===t&&x(n,r,[e.xaxis],[e.yaxis],e.id,q),a.indexOf("event")>-1&&v.click(r,n,e.id)}q.prepFn=function(t,n,i){var o=r._fullLayout.dragmode,l=O.getBoundingClientRect();if(z=n-l.left,I=i-l.top,k){var c=A.findPolygonOffset(u,w[0],w[1],k);z+=m+c[0],I+=_+c[1]}switch(o){case"zoom":q.moveFn=k?tt:Q,q.clickFn=nt,q.doneFn=et,function(){D=null,F=null,B=e.pathSubplot(),N=!1;var t=r._fullLayout[e.id];j=a(t.bgcolor).getLuminance(),(V=d.makeZoombox(s,j,f,p,B)).attr("fill-rule","evenodd"),U=d.makeCorners(s,f,p),b(r)}();break;case"select":case"lasso":y(t,n,i,q,o)}},O.onmousemove=function(t){v.hover(r,t,e.id),r._fullLayout._lasthover=O,r._fullLayout._hoversubplot=e.id},O.onmouseout=function(t){r._dragging||g.unhover(r,t)},g.init(q)},O.updateRadialDrag=function(t,e,r){var 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n=t("./axis_defaults"),a=t("../../plot_api/plot_template");e.exports=function(t,e,r,i,o){i("a")||(i("da"),i("a0")),i("b")||(i("db"),i("b0")),function(t,e,r,i){["aaxis","baxis"].forEach(function(o){var s=o.charAt(0),l=t[o]||{},c=a.newContainer(e,o),u={tickfont:"x",id:s+"axis",letter:s,font:e.font,name:o,data:t[s],calendar:e.calendar,dfltColor:i,bgColor:r.paper_bgcolor,fullLayout:r};n(l,c,u),c._categories=c._categories||[],t[o]||"-"===l.type||(t[o]={type:l.type})})}(t,e,r,o)}},{"../../plot_api/plot_template":755,"./axis_defaults":902}],898:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray;e.exports=function(t){return function t(e,r){if(!n(e)||r>=10)return null;var a=1/0;var i=-1/0;var o=e.length;for(var s=0;s<o;s++){var l=e[s];if(n(l)){var c=t(l,r+1);c&&(a=Math.min(c[0],a),i=Math.max(c[1],i))}else a=Math.min(l,a),i=Math.max(l,i)}return[a,i]}(t,0)}},{"../../lib":717}],899:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),a=t("./axis_attributes"),i=t("../../components/color/attributes"),o=n({editType:"calc"});o.family.dflt='"Open Sans", verdana, arial, sans-serif',o.size.dflt=12,o.color.dflt=i.defaultLine,e.exports={carpet:{valType:"string",editType:"calc"},x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},a:{valType:"data_array",editType:"calc"},a0:{valType:"number",dflt:0,editType:"calc"},da:{valType:"number",dflt:1,editType:"calc"},b:{valType:"data_array",editType:"calc"},b0:{valType:"number",dflt:0,editType:"calc"},db:{valType:"number",dflt:1,editType:"calc"},cheaterslope:{valType:"number",dflt:1,editType:"calc"},aaxis:a,baxis:a,font:o,color:{valType:"color",dflt:i.defaultLine,editType:"plot"},transforms:void 0}},{"../../components/color/attributes":590,"../../plots/font_attributes":791,"./axis_attributes":901}],900:[function(t,e,r){"use strict";var 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n=t("../../plots/font_attributes"),a=t("../../components/color/attributes"),i=t("../../plots/cartesian/layout_attributes"),o=t("../../plot_api/edit_types").overrideAll;t("../../constants/docs").FORMAT_LINK,t("../../constants/docs").TIME_FORMAT_LINK;e.exports={color:{valType:"color",editType:"calc"},smoothing:{valType:"number",dflt:1,min:0,max:1.3,editType:"calc"},title:{text:{valType:"string",dflt:"",editType:"calc"},font:n({editType:"calc"}),offset:{valType:"number",dflt:10,editType:"calc"},editType:"calc"},type:{valType:"enumerated",values:["-","linear","date","category"],dflt:"-",editType:"calc"},autorange:{valType:"enumerated",values:[!0,!1,"reversed"],dflt:!0,editType:"calc"},rangemode:{valType:"enumerated",values:["normal","tozero","nonnegative"],dflt:"normal",editType:"calc"},range:{valType:"info_array",editType:"calc",items:[{valType:"any",editType:"calc"},{valType:"any",editType:"calc"}]},fixedrange:{valType:"boolean",dflt:!1,editType:"calc"},cheatertype:{valType:"enumerated",values:["index","value"],dflt:"value",editType:"calc"},tickmode:{valType:"enumerated",values:["linear","array"],dflt:"array",editType:"calc"},nticks:{valType:"integer",min:0,dflt:0,editType:"calc"},tickvals:{valType:"data_array",editType:"calc"},ticktext:{valType:"data_array",editType:"calc"},showticklabels:{valType:"enumerated",values:["start","end","both","none"],dflt:"start",editType:"calc"},tickfont:n({editType:"calc"}),tickangle:{valType:"angle",dflt:"auto",editType:"calc"},tickprefix:{valType:"string",dflt:"",editType:"calc"},showtickprefix:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"calc"},ticksuffix:{valType:"string",dflt:"",editType:"calc"},showticksuffix:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"calc"},showexponent:{valType:"enumerated",values:["all","first","last","none"],dflt:"all",editType:"calc"},exponentformat:{valType:"enumerated",values:["none","e","E","power","SI","B"],dflt:"B",editType:"calc"},separatethousands:{valType:"boolean",dflt:!1,editType:"calc"},tickformat:{valType:"string",dflt:"",editType:"calc"},tickformatstops:o(i.tickformatstops,"calc","from-root"),categoryorder:{valType:"enumerated",values:["trace","category 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n=t("fast-isnumeric"),a=t("./label_defaults"),i=t("../../components/color"),o=i.addOpacity,s=i.opacity,l=t("../../constants/filter_ops"),c=l.CONSTRAINT_REDUCTION,u=l.COMPARISON_OPS2;e.exports=function(t,e,r,i,l,h){var f,p,d,g=e.contours,v=r("contours.operation");(g._operation=c[v],function(t,e){var 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n=t("../../lib"),a=t("../heatmap/xyz_defaults"),i=t("./constraint_defaults"),o=t("./contours_defaults"),s=t("./style_defaults"),l=t("./attributes");e.exports=function(t,e,r,c){function u(r,a){return n.coerce(t,e,l,r,a)}if(a(t,e,u,c)){u("text"),u("hovertext"),u("hovertemplate"),u("hoverongaps");var h="constraint"===u("contours.type");u("connectgaps",n.isArray1D(e.z)),h?i(t,e,u,c,r):(o(t,e,u,function(r){return n.coerce2(t,e,l,r)}),s(t,e,u,c))}else e.visible=!1}},{"../../lib":717,"../heatmap/xyz_defaults":1014,"./attributes":943,"./constraint_defaults":948,"./contours_defaults":950,"./style_defaults":964}],953:[function(t,e,r){"use strict";var n=t("../../lib"),a=t("./constraint_mapping"),i=t("./end_plus");e.exports=function(t,e,r){for(var 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n=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../../plots/attributes"),o=t("../scattermapbox/attributes"),s=t("../../lib/extend").extendFlat;e.exports=s({lon:o.lon,lat:o.lat,z:{valType:"data_array",editType:"calc"},radius:{valType:"number",editType:"plot",arrayOk:!0,min:1,dflt:30},below:{valType:"string",editType:"plot"},text:o.text,hovertext:o.hovertext,hoverinfo:s({},i.hoverinfo,{flags:["lon","lat","z","text","name"]}),hovertemplate:a(),showlegend:s({},i.showlegend,{dflt:!1})},n("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":598,"../../lib/extend":708,"../../plots/attributes":762,"../../plots/template_attributes":841,"../scattermapbox/attributes":1184}],971:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),a=t("../../lib").isArrayOrTypedArray,i=t("../../constants/numerical").BADNUM,o=t("../../components/colorscale/calc"),s=t("../../lib")._;e.exports=function(t,e){for(var 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n=t("../../lib"),a=t("../../components/colorscale/defaults"),i=t("./attributes");e.exports=function(t,e,r,o){function s(r,a){return n.coerce(t,e,i,r,a)}var l=s("lon")||[],c=s("lat")||[],u=Math.min(l.length,c.length);u?(e._length=u,s("z"),s("radius"),s("below"),s("text"),s("hovertext"),s("hovertemplate"),a(t,e,o,s,{prefix:"",cLetter:"z"})):e.visible=!1}},{"../../components/colorscale/defaults":601,"../../lib":717,"./attributes":970}],974:[function(t,e,r){"use strict";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.z=e.z,t}},{}],975:[function(t,e,r){"use strict";var n=t("../../lib"),a=t("../../plots/cartesian/axes"),i=t("../scattermapbox/hover");e.exports=function(t,e,r){var o=i(t,e,r);if(o){var s=o[0],l=s.cd,c=l[0].trace,u=l[s.index];if(delete s.color,"z"in u){var h=s.subplot.mockAxis;s.z=u.z,s.zLabel=a.tickText(h,h.c2l(u.z),"hover").text}return s.extraText=function(t,e,r){if(t.hovertemplate)return;var 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n=t("../../lib"),a=t("./attributes"),i=t("../../plots/domain").defaults,o=t("../../plot_api/plot_template"),s=t("../../plots/array_container_defaults"),l=t("./constants.js"),c=t("../../plots/cartesian/tick_value_defaults"),u=t("../../plots/cartesian/tick_mark_defaults"),h=t("../../plots/cartesian/tick_label_defaults");function f(t,e){function r(r,i){return n.coerce(t,e,a.gauge.steps,r,i)}r("color"),r("line.color"),r("line.width"),r("range"),r("thickness")}e.exports={supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,a,r,i)}i(e,p,d),d("mode"),e._hasNumber=-1!==e.mode.indexOf("number"),e._hasDelta=-1!==e.mode.indexOf("delta"),e._hasGauge=-1!==e.mode.indexOf("gauge");var g=d("value");e._range=[0,"number"==typeof g?1.5*g:1];var v,m,y,x,b,_,w=new Array(2);function k(t,e){return n.coerce(y,x,a.gauge,t,e)}function T(t,e){return n.coerce(b,_,a.gauge.axis,t,e)}if(e._hasNumber&&(d("number.valueformat"),d("number.font.color",p.font.color),d("number.font.family",p.font.family),d("number.font.size"),void 0===e.number.font.size&&(e.number.font.size=l.defaultNumberFontSize,w[0]=!0),d("number.prefix"),d("number.suffix"),v=e.number.font.size),e._hasDelta&&(d("delta.font.color",p.font.color),d("delta.font.family",p.font.family),d("delta.font.size"),void 0===e.delta.font.size&&(e.delta.font.size=(e._hasNumber?.5:1)*(v||l.defaultNumberFontSize),w[1]=!0),d("delta.reference",e.value),d("delta.relative"),d("delta.valueformat",e.delta.relative?"2%":""),d("delta.increasing.symbol"),d("delta.increasing.color"),d("delta.decreasing.symbol"),d("delta.decreasing.color"),d("delta.position"),m=e.delta.font.size),e._scaleNumbers=(!e._hasNumber||w[0])&&(!e._hasDelta||w[1])||!1,d("title.font.color",p.font.color),d("title.font.family",p.font.family),d("title.font.size",.25*(v||m||l.defaultNumberFontSize)),d("title.text"),e._hasGauge){(y=t.gauge)||(y={}),x=o.newContainer(e,"gauge"),k("shape"),(e._isBullet="bullet"===e.gauge.shape)||d("title.align","center"),(e._isAngular="angular"===e.gauge.shape)||d("align","center"),k("bgcolor",p.paper_bgcolor),k("borderwidth"),k("bordercolor"),k("bar.color"),k("bar.line.color"),k("bar.line.width"),k("bar.thickness",l.valueThickness*("bullet"===e.gauge.shape?.5:1)),s(y,x,{name:"steps",handleItemDefaults:f}),k("threshold.value"),k("threshold.thickness"),k("threshold.line.width"),k("threshold.line.color"),b={},y&&(b=y.axis||{}),_=o.newContainer(x,"axis"),T("visible"),e._range=T("range",e._range);var M={outerTicks:!0};c(b,_,T,"linear"),h(b,_,T,"linear",M),u(b,_,T,M)}else d("title.align","center"),d("align","center"),e._isAngular=e._isBullet=!1;e._length=null}}},{"../../lib":717,"../../plot_api/plot_template":755,"../../plots/array_container_defaults":761,"../../plots/cartesian/tick_label_defaults":784,"../../plots/cartesian/tick_mark_defaults":785,"../../plots/cartesian/tick_value_defaults":786,"../../plots/domain":790,"./attributes":1049,"./constants.js":1052}],1054:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"indicator",basePlotModule:t("./base_plot"),categories:["svg","noOpacity","noHover"],animatable:!0,attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,calc:t("./calc").calc,plot:t("./plot"),meta:{}}},{"./attributes":1049,"./base_plot":1050,"./calc":1051,"./defaults":1053,"./plot":1055}],1055:[function(t,e,r){"use strict";var n=t("d3"),a=t("../../lib"),i=a.rad2deg,o=t("../../constants/alignment").MID_SHIFT,s=t("../../components/drawing"),l=t("./constants"),c=t("../../lib/svg_text_utils"),u=t("../../plots/cartesian/axes"),h=t("../../plots/cartesian/axis_defaults"),f=t("../../plots/cartesian/position_defaults"),p=t("../../plots/cartesian/layout_attributes"),d=t("../../components/color"),g={left:"start",center:"middle",right:"end"},v={left:0,center:.5,right:1},m=/[yzafpn\xb5mkMGTPEZY]/;function y(t){return t&&t.duration>0}function x(t){t.each(function(t){d.stroke(n.select(this),t.line.color)}).each(function(t){d.fill(n.select(this),t.color)}).style("stroke-width",function(t){return t.line.width})}function b(t,e,r){var n=t._fullLayout,i=a.extendFlat({type:"linear",ticks:"outside",range:r,showline:!0},e),o={type:"linear",_id:"x"+e._id},s={letter:"x",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return a.coerce(i,o,p,t,e)}return h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return"translate("+t+","+e+")"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+"x"+r]}function k(t,e,r,a){var i=document.createElementNS("http://www.w3.org/2000/svg","text"),o=n.select(i);return o.text(t).attr("x",0).attr("y",0).attr("text-anchor",r).attr("data-unformatted",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function T(t,e,r,n,i,o){var s="_cache"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,"trace").each(function(e){var h,M,A,S,E,L=e[0].trace,C=n.select(this),P=L._hasGauge,O=L._isAngular,z=L._isBullet,I=L.domain,D={w:p._size.w*(I.x[1]-I.x[0]),h:p._size.h*(I.y[1]-I.y[0]),l:p._size.l+p._size.w*I.x[0],r:p._size.r+p._size.w*(1-I.x[1]),t:p._size.t+p._size.h*(1-I.y[1]),b:p._size.b+p._size.h*I.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=L.align||"center";if(M=F,P){if(O&&(h=R,M=F+B/2,A=function(t){return e=t,r=.9*N,n=Math.sqrt(e.width/2*(e.width/2)+e.height*e.height),[r/n,e,r];var e,r,n}),z){var V=l.bulletPadding,U=1-l.bulletNumberDomainSize+V;h=D.l+(U+(1-U)*v[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-V)*D.w,D.h)}}}else h=D.l+v[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||"center",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,"g","numbers"),L=[];f._hasNumber&&L.push("number");f._hasDelta&&(L.push("delta"),"left"===f.delta.position&&L.reverse());var C=E.selectAll("text").data(L);function P(e,r,n,a){if(!e.match("s")||n>=0==a>=0||r(n).slice(-1).match(m)||r(a).slice(-1).match(m))return r;var i=e.slice().replace("s","f").replace(/\d+/,function(t){return parseInt(t)-1}),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}C.enter().append("text"),C.attr("text-anchor",function(){return M}).attr("class",function(t){return t}).attr("x",null).attr("y",null).attr("dx",null).attr("dy",null),C.exit().remove();var O,z=f.mode+f.align;f._hasDelta&&(O=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){var e=f.delta.relative?t.relativeDelta:t.delta;return e},o=function(t,e){return 0===t||"number"!=typeof t||isNaN(t)?"-":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select("text.delta");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween("text",function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}}).each("end",function(){g(),S&&S()}).each("interrupt",function(){g(),S&&S()}):g();return l=k(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select("text.number");function p(){var e="number"==typeof r[0].y?l+a(r[0].y)+i:"-";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each("end",function(){p(),S&&S()}).each("interrupt",function(){p(),S&&S()}).attrTween("text",function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}}):p();o=k(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var I,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;"left"===f.delta.position&&(I=T(f,"deltaPos",0,-1*(o.width*v[f.align]+l.width*(1-v[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+I,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),"right"===f.delta.position&&(I=T(f,"deltaPos",0,o.width*(1-v[f.align])+l.width*v[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+I,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),"bottom"===f.delta.position&&(I=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),"top"===f.delta.position&&(I=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),O.attr({dx:I,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr("transform",function(){var t=i.numbersScaler(h);z+=t[2];var e,r=T(f,"numbersScale",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];"center"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=T(f,"numbersTranslate",0,a,z,Math.max),e)+" scale("+r+")"})}(t,C,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:L.gauge.axis.range,color:L.gauge.bgcolor,line:{color:L.gauge.bordercolor,width:0},thickness:1},E={range:L.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:L.gauge.bordercolor,width:L.gauge.borderwidth},thickness:1});var q=C.selectAll("g.angular").data(O?e:[]);q.exit().remove();var H=C.selectAll("g.angularaxis").data(O?e:[]);H.exit().remove(),O&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,v=a.gaugeBg,m=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],k=a.gauge,T=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=f.gauge.axis.range[1],n=(t-e)/(r-e)*Math.PI-S;return n<-S?-S:n>S?S:n}function L(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function C(t){t.attr("d",function(t){return L(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()})}k.enter().append("g").classed("angular",!0),k.attr("transform",_(w[0],w[1])),T.enter().append("g").classed("angularaxis",!0).classed("crisp",!0),T.selectAll("g.xangularaxistick,path,text").remove(),(s=b(t,f.gauge.axis)).type="linear",s.range=f.gauge.axis.range,s._id="xangularaxis",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},O={},z=u.makeLabelFns(s,0).labelStandoff;O.xFn=function(t){var e=P(t);return Math.cos(e)*z},O.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},O.anchorFn=function(t){var e=P(t),r=Math.cos(e);return Math.abs(r)<.1?"middle":r>0?"start":"end"},O.heightFn=function(t,e,r){var n=P(t);return-.5*(1+Math.sin(n))*r};var I=function(t){return _(w[0]+d*Math.cos(t),w[1]-d*Math.sin(t))};c=function(t){return I(P(t))};if(l=u.calcTicks(s),h=u.getTickSigns(s)[2],s.visible){h="inside"===s.ticks?-1:1;var D=(s.linewidth||1)/2;u.drawTicks(t,s,{vals:l,layer:T,path:"M"+h*D+",0h"+h*s.ticklen,transFn:function(t){var e=P(t);return I(e)+"rotate("+-i(e)+")"}}),u.drawLabels(t,s,{vals:l,layer:T,transFn:c,labelFns:O})}var R=[v].concat(f.gauge.steps),F=k.selectAll("g.bg-arc").data(R);F.enter().append("g").classed("bg-arc",!0).append("path"),F.select("path").call(C).call(x),F.exit().remove();var B=L(f.gauge.bar.thickness),N=k.selectAll("g.value-arc").data([f.gauge.bar]);N.enter().append("g").classed("value-arc",!0).append("path");var j=N.select("path");y(M)?(j.transition().duration(M.duration).ease(M.easing).each("end",function(){A&&A()}).each("interrupt",function(){A&&A()}).attrTween("d",(V=B,U=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(U,q);return function(e){return V.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr("d","number"==typeof r[0].y?B.endAngle(E(r[0].y)):"M0,0Z");var V,U,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=k.selectAll("g.threshold-arc").data(R);G.enter().append("g").classed("threshold-arc",!0).append("path"),G.select("path").call(C).call(x),G.exit().remove();var Y=k.selectAll("g.gauge-outline").data([m]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(C).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=C.selectAll("g.bullet").data(z?e:[]);G.exit().remove();var Y=C.selectAll("g.bulletaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,v=n.gaugeOutline,m=n.size,_=h.domain,w=n.transitionOpts,k=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform","translate("+m.l+", "+m.t+")"),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var T=m.h,M=h.gauge.bar.thickness*T,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id="xbulletaxis",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=m.t+m.h,a.visible&&(u.drawTicks(t,a,{vals:"inside"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr("width",function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))}).attr("x",function(t){return a.c2p(t.range[0])}).attr("y",function(t){return.5*(1-t.thickness)*T}).attr("height",function(t){return t.thickness*T})}var L=[g].concat(h.gauge.steps),C=f.selectAll("g.bg-bullet").data(L);C.enter().append("g").classed("bg-bullet",!0).append("rect"),C.select("rect").call(E).call(x),C.exit().remove();var P=f.selectAll("g.value-bullet").data([h.gauge.bar]);P.enter().append("g").classed("value-bullet",!0).append("rect"),P.select("rect").attr("height",M).attr("y",(T-M)/2).call(x),y(w)?P.select("rect").transition().duration(w.duration).ease(w.easing).each("end",function(){k&&k()}).each("interrupt",function(){k&&k()}).attr("width",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var O=r.filter(function(){return 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t,e=D.l+D.w*v[L.title.align],r=l.titlePadding,n=s.bBox(W.node());if(P){if(O)if(L.gauge.axis.visible)t=s.bBox(H.node()).top-r-n.bottom;else t=D.t+D.h/2-B/2-n.bottom-r;z&&(t=M-(n.top+n.bottom)/2,e=D.l-l.bulletPadding*D.w)}else t=L._numbersTop-r-n.bottom;return _(e,t)})})}},{"../../components/color":591,"../../components/drawing":612,"../../constants/alignment":686,"../../lib":717,"../../lib/svg_text_utils":741,"../../plots/cartesian/axes":765,"../../plots/cartesian/axis_defaults":767,"../../plots/cartesian/layout_attributes":777,"../../plots/cartesian/position_defaults":780,"./constants":1052,d3:165}],1056:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../mesh3d/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll;var 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n=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../surface/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat;e.exports=s({x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},i:{valType:"data_array",editType:"calc"},j:{valType:"data_array",editType:"calc"},k:{valType:"data_array",editType:"calc"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:a({editType:"calc"}),delaunayaxis:{valType:"enumerated",values:["x","y","z"],dflt:"z",editType:"calc"},alphahull:{valType:"number",dflt:-1,editType:"calc"},intensity:{valType:"data_array",editType:"calc"},intensitymode:{valType:"enumerated",values:["vertex","cell"],dflt:"vertex",editType:"calc"},color:{valType:"color",editType:"calc"},vertexcolor:{valType:"data_array",editType:"calc"},facecolor:{valType:"data_array",editType:"calc"},transforms:void 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n=t("../../components/colorscale/calc");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":599}],1063:[function(t,e,r){"use strict";var n=t("gl-mesh3d"),a=t("delaunay-triangulate"),i=t("alpha-shape"),o=t("convex-hull"),s=t("../../lib/gl_format_color").parseColorScale,l=t("../../lib/str2rgbarray"),c=t("../../components/colorscale").extractOpts,u=t("../../plots/gl3d/zip3");function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.color="#fff",this.data=null,this.showContour=!1}var f=h.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var a=[],i=e.length,o=0;o<i;o++)a[o]=t.d2l(e[o],0,n)*r;return a}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function v(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var 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m={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color="#fff";var x=t.intensitymode;m[x+"Intensity"]=t.intensity,m[x+"IntensityBounds"]=[y.min,y.max],m.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],m.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],m.cellColors=p(t.facecolor)):(this.color=t.color,m.meshColor=l(t.color));this.mesh.update(m)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new h(t,a,e.uid);return a._trace=i,i.update(e),t.glplot.add(a),i}},{"../../components/colorscale":603,"../../lib/gl_format_color":714,"../../lib/str2rgbarray":740,"../../plots/gl3d/zip3":816,"alpha-shape":67,"convex-hull":132,"delaunay-triangulate":167,"gl-mesh3d":283}],1064:[function(t,e,r){"use strict";var n=t("../../registry"),a=t("../../lib"),i=t("../../components/colorscale/defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,n){return a.coerce(t,e,o,r,n)}function c(t){var e=t.map(function(t){var e=l(t);return e&&a.isArrayOrTypedArray(e)?e:null});return e.every(function(t){return 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n=t("../../lib"),a=n._,i=t("../../plots/cartesian/axes"),o=t("../../constants/numerical").BADNUM;function s(t,e,r,n){return{o:t,h:e,l:r,c:n}}function l(t,e,r,s,l){for(var c=s.makeCalcdata(e,"open"),u=s.makeCalcdata(e,"high"),h=s.makeCalcdata(e,"low"),f=s.makeCalcdata(e,"close"),p=Array.isArray(e.text),d=Array.isArray(e.hovertext),g=!0,v=null,m=[],y=0;y<r.length;y++){var x=r[y],b=c[y],_=u[y],w=h[y],k=f[y];if(x!==o&&b!==o&&_!==o&&w!==o&&k!==o){k===b?null!==v&&k!==v&&(g=k>v):g=k>b,v=k;var T=l(b,_,w,k);T.pos=x,T.yc=(b+k)/2,T.i=y,T.dir=g?"increasing":"decreasing",T.x=T.pos,T.y=[w,_],p&&(T.tx=e.text[y]),d&&(T.htx=e.hovertext[y]),m.push(T)}else m.push({pos:x,empty:!0})}return e._extremes[s._id]=i.findExtremes(s,n.concat(h,u),{padded:!0}),m.length&&(m[0].t={labels:{open:a(t,"open:")+" ",high:a(t,"high:")+" ",low:a(t,"low:")+" ",close:a(t,"close:")+" "}}),m}e.exports={calc:function(t,e){var r=i.getFromId(t,e.xaxis),a=i.getFromId(t,e.yaxis),o=function(t,e,r){var a=r._minDiff;if(!a){var i,o=t._fullData,s=[];for(a=1/0,i=0;i<o.length;i++){var l=o[i];if("ohlc"===l.type&&!0===l.visible&&l.xaxis===e._id){s.push(l);var c=e.makeCalcdata(l,"x");l._xcalc=c;var u=n.distinctVals(c).minDiff;u&&isFinite(u)&&(a=Math.min(a,u))}}for(a===1/0&&(a=1),i=0;i<s.length;i++)s[i]._minDiff=a}return a*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var u=e._xcalc;e._xcalc=null;var h=l(t,e,u,a,s);return e._extremes[r._id]=i.findExtremes(r,u,{vpad:c/2}),h.length?(n.extendFlat(h[0].t,{wHover:c/2,tickLen:o}),h):[{t:{empty:!0}}]},calcCommon:l}},{"../../constants/numerical":693,"../../lib":717,"../../plots/cartesian/axes":765}],1068:[function(t,e,r){"use strict";var n=t("../../lib"),a=t("./ohlc_defaults"),i=t("./attributes");function o(t,e,r,n){r(n+".line.color"),r(n+".line.width",e.line.width),r(n+".line.dash",e.line.dash)}e.exports=function(t,e,r,s){function l(r,a){return 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k=i.getDistanceFunction(n,b,_,w);if(i.getClosest(l,k,t),!1===t.index)return null;var T=l[t.index];if(T.empty)return null;var M=u[T.dir],A=M.line.color;return o.opacity(A)&&M.line.width?t.color=A:t.color=M.fillcolor,t.x0=c.c2p(T.pos+g-m,!0),t.x1=c.c2p(T.pos+g+m,!0),t.xLabelVal=T.pos,t.spikeDistance=w(T)*s/a,t.xSpike=c.c2p(T.pos,!0),t}function h(t,e,r,i){var o=t.cd,s=t.ya,l=o[0].trace,c=o[0].t,h=[],f=u(t,e,r,i);if(!f)return[];var p=o[f.index].hi||l.hoverinfo,d=p.split("+");if(!("all"===p||-1!==d.indexOf("y")))return[];for(var g=["high","open","close","low"],v={},m=0;m<g.length;m++){var y,x=g[m],b=l[x][f.index],_=s.c2p(b,!0);b in v?(y=v[b]).yLabel+="<br>"+c.labels[x]+n.hoverLabelText(s,b):((y=a.extendFlat({},f)).y0=y.y1=_,y.yLabelVal=b,y.yLabel=c.labels[x]+n.hoverLabelText(s,b),y.name="",h.push(y),v[b]=y)}return h}function f(t,e,r,a){var i=t.cd,o=t.ya,l=i[0].trace,h=i[0].t,f=u(t,e,r,a);if(!f)return[];var p=i[f.index],d=f.index=p.i,g=p.dir;function v(t){return h.labels[t]+n.hoverLabelText(o,l[t][d])}var m=p.hi||l.hoverinfo,y=m.split("+"),x="all"===m,b=x||-1!==y.indexOf("y"),_=x||-1!==y.indexOf("text"),w=b?[v("open"),v("high"),v("low"),v("close")+" "+c[g]]:[];return _&&s(p,l,w),f.extraText=w.join("<br>"),f.y0=f.y1=o.c2p(p.yc,!0),[f]}e.exports={hoverPoints:function(t,e,r,n){return t.cd[0].trace.hoverlabel.split?h(t,e,r,n):f(t,e,r,n)},hoverSplit:h,hoverOnPoints:f}},{"../../components/color":591,"../../components/fx":630,"../../constants/delta.js":687,"../../lib":717,"../../plots/cartesian/axes":765}],1070:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"ohlc",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","showLegend"],meta:{},attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc").calc,plot:t("./plot"),style:t("./style"),hoverPoints:t("./hover").hoverPoints,selectPoints:t("./select")}},{"../../plots/cartesian":776,"./attributes":1066,"./calc":1067,"./defaults":1068,"./hover":1069,"./plot":1072,"./select":1073,"./style":1074}],1071:[function(t,e,r){"use strict";var n=t("../../registry"),a=t("../../lib");e.exports=function(t,e,r,i){var o=r("x"),s=r("open"),l=r("high"),c=r("low"),u=r("close");if(r("hoverlabel.split"),n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x"],i),s&&l&&c&&u){var h=Math.min(s.length,l.length,c.length,u.length);return o&&(h=Math.min(h,a.minRowLength(o))),e._length=h,h}}},{"../../lib":717,"../../registry":846}],1072:[function(t,e,r){"use strict";var n=t("d3"),a=t("../../lib");e.exports=function(t,e,r,i){var o=e.xaxis,s=e.yaxis;a.makeTraceGroups(i,r,"trace ohlc").each(function(t){var e=n.select(this),r=t[0],i=r.t;if(!0!==r.trace.visible||i.empty)e.remove();else{var l=i.tickLen,c=e.selectAll("path").data(a.identity);c.enter().append("path"),c.exit().remove(),c.attr("d",function(t){if(t.empty)return"M0,0Z";var e=o.c2p(t.pos,!0),r=o.c2p(t.pos-l,!0),n=o.c2p(t.pos+l,!0);return"M"+r+","+s.c2p(t.o,!0)+"H"+e+"M"+e+","+s.c2p(t.h,!0)+"V"+s.c2p(t.l,!0)+"M"+n+","+s.c2p(t.c,!0)+"H"+e})}})}},{"../../lib":717,d3:165}],1073:[function(t,e,r){"use strict";e.exports=function(t,e){var r,n=t.cd,a=t.xaxis,i=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r<n.length;r++)n[r].selected=0;else for(r=0;r<n.length;r++){var l=n[r];e.contains([a.c2p(l.pos+s),i.c2p(l.yc)],null,l.i,t)?(o.push({pointNumber:l.i,x:a.c2d(l.pos),y:i.c2d(l.yc)}),l.selected=1):l.selected=0}return o}},{}],1074:[function(t,e,r){"use strict";var n=t("d3"),a=t("../../components/drawing"),i=t("../../components/color");e.exports=function(t,e,r){var o=r||n.select(t).selectAll("g.ohlclayer").selectAll("g.trace");o.style("opacity",function(t){return t[0].trace.opacity}),o.each(function(t){var e=t[0].trace;n.select(this).selectAll("path").each(function(t){if(!t.empty){var r=e[t.dir].line;n.select(this).style("fill","none").call(i.stroke,r.color).call(a.dashLine,r.dash,r.width).style("opacity",e.selectedpoints&&!t.selected?.3:1)}})})}},{"../../components/color":591,"../../components/drawing":612,d3:165}],1075:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat,a=t("../../plots/attributes"),i=t("../../plots/font_attributes"),o=t("../../components/colorscale/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/domain").attributes,c=n({editType:"calc"},o("line",{editTypeOverride:"calc"}),{shape:{valType:"enumerated",values:["linear","hspline"],dflt:"linear",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability"]})});e.exports={domain:l({name:"parcats",trace:!0,editType:"calc"}),hoverinfo:n({},a.hoverinfo,{flags:["count","probability"],editType:"plot",arrayOk:!1}),hoveron:{valType:"enumerated",values:["category","color","dimension"],dflt:"category",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability","category","categorycount","colorcount","bandcolorcount"]}),arrangement:{valType:"enumerated",values:["perpendicular","freeform","fixed"],dflt:"perpendicular",editType:"plot"},bundlecolors:{valType:"boolean",dflt:!0,editType:"plot"},sortpaths:{valType:"enumerated",values:["forward","backward"],dflt:"forward",editType:"plot"},labelfont:i({editType:"calc"}),tickfont:i({editType:"calc"}),dimensions:{_isLinkedToArray:"dimension",label:{valType:"string",editType:"calc"},categoryorder:{valType:"enumerated",values:["trace","category 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a=n._has&&n._has("parcats"),i=e._has&&e._has("parcats");a&&!i&&n._paperdiv.selectAll(".parcats").remove()}},{"../../plots/get_data":800,"./plot":1081}],1077:[function(t,e,r){"use strict";var n=t("../../lib/gup").wrap,a=t("../../components/colorscale/helpers").hasColorscale,i=t("../../components/colorscale/calc"),o=t("../../lib/filter_unique.js"),s=t("../../components/drawing"),l=t("../../lib");function c(t,e,r){t.valueInds.push(e),t.count+=r}function u(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var f,p,d,g=r.map(function(t){var e;return"trace"===t.categoryorder?e=null:"array"===t.categoryorder?e=t.categoryarray:(e=o(t.values).sort(),"category descending"===t.categoryorder&&(e=e.reverse())),function(t,e){e=null==e?[]:e.map(function(t){return t});var r={},n={},a=[];e.forEach(function(t,e){r[t]=0,n[t]=e});for(var i=0;i<t.length;i++){var o,s=t[i];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),a.push(o)}var l=e.map(function(t){return r[t]});return{uniqueValues:e,uniqueCounts:l,inds:a}}(t.values,e)});f=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map(function(t){return t.displayindex})))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach(function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,g[e])});var v,m=e.line;m?(a(e,"line")&&i(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),v=s.tryColorscale(m)):v=l.identity;var 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v={family:h.font.family,size:Math.round(h.font.size/1.2),color:h.font.color};n.coerceFont(f,"tickfont",v)}},{"../../components/colorscale/defaults":601,"../../components/colorscale/helpers":602,"../../lib":717,"../../plots/array_container_defaults":761,"../../plots/domain":790,"../parcoords/merge_length":1091,"./attributes":1075}],1079:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcats",basePlotModule:t("./base_plot"),categories:["noOpacity"],meta:{}}},{"./attributes":1075,"./base_plot":1076,"./calc":1077,"./defaults":1078,"./plot":1081}],1080:[function(t,e,r){"use strict";var n=t("d3"),a=t("../../plot_api/plot_api"),i=t("../../components/fx"),o=t("../../lib"),s=t("../../components/drawing"),l=t("tinycolor2"),c=t("../../lib/svg_text_utils");function u(t,e,r,a){var i=t.map(function(t,e,r){var n,a=r[0],i=e.margin||{l:80,r:80,t:100,b:80},o=a.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+i.l,p=e.height-s.y[1]*e.height+i.t,d=o.line.shape;n="all"===o.hoverinfo?["count","probability"]:(o.hoverinfo||"").split("+");var g={trace:o,key:o.uid,model:a,x:f,y:p,width:u,height:h,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:i,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};a.dimensions&&(F(g),R(g));return g}.bind(0,e,r)),l=a.selectAll("g.parcatslayer").data([null]);l.enter().append("g").attr("class","parcatslayer").style("pointer-events","all");var u=l.selectAll("g.trace.parcats").data(i,h),v=u.enter().append("g").attr("class","trace parcats");u.attr("transform",function(t){return"translate("+t.x+", 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z=e._fullLayout.paper_bgcolor;T.select("text.catlabel").attr("text-anchor",function(t){return f(t)?"start":"end"}).attr("alignment-baseline","middle").style("text-shadow",z+" -1px 1px 2px, "+z+" 1px 1px 2px, "+z+" 1px -1px 2px, "+z+" -1px -1px 2px").style("fill","rgb(0, 0, 0)").attr("x",function(t){return f(t)?t.width+5:-5}).attr("y",function(t){return t.height/2}).text(function(t){return t.model.categoryLabel}).each(function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)}),M.append("text").attr("class","dimlabel"),T.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"}).attr("x",function(t){return t.width/2}).attr("y",-5).text(function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null}).each(function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)}),T.selectAll("rect.bandrect").on("mouseover",S).on("mouseout",E),T.exit().remove(),k.call(n.behavior.drag().origin(function(t){return{x:t.x,y:0}}).on("dragstart",L).on("drag",C).on("dragend",P)),u.each(function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")}),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){o.raiseToTop(this),b(n.select(this));var e=v(t),r=m(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var a,s,c,u=n.mouse(this)[0],h=t.parcatsViewModel.graphDiv,f=t.parcatsViewModel.trace,p=h._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(c=0;c<t.leftXs.length-1;c++)if(t.leftXs[c]+t.dimWidths[c]-2<=u&&u<=t.leftXs[c+1]+2){var y=t.parcatsViewModel.dimensions[c],x=t.parcatsViewModel.dimensions[c+1];a=(y.x+y.width+x.x)/2,s=(t.topYs[c]+t.topYs[c+1]+t.height)/2;break}var _=t.parcatsViewModel.x+a,w=t.parcatsViewModel.y+s,k=l.mostReadable(t.model.color,["black","white"]),T=t.model.count,M=T/t.parcatsViewModel.model.count,A={countLabel:T,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&S.push(["Count:",A.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&S.push(["P:",A.probabilityLabel].join(" "));var E=S.join("<br>"),L=n.mouse(h)[0];i.loneHover({trace:f,x:_-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:k,idealAlign:L<_?"right":"left",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:f._input,fullData:f,count:T,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function m(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event,constraints:r})}}function x(t){t.attr("fill",function(t){return t.model.color}).attr("fill-opacity",.6).attr("stroke","lightgray").attr("stroke-width",.2).attr("stroke-opacity",1)}function b(t){t.attr("fill-opacity",.8).attr("stroke",function(t){return l.mostReadable(t.model.color,["black","white"])}).attr("stroke-width",.3)}function _(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function w(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter(function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color})}function T(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll("rect.bandrect"),l=[];s.each(function(t){k(t).each(function(t){Array.prototype.push.apply(l,v(t))})});var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=k(a),l=[];s.each(function(t){Array.prototype.push.apply(l,v(t))});var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select("rect.catrect"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a="left"):(r=o.left+o.width,a="right");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},v=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf("count")&&v.push(["Count:",g.countLabel].join(" 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r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map(function(t){return t.displayInd}),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll("rect.bandrect").each(function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)}))}),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function C(t){if("fixed"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 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t.displayInd}),o=t.initialDragDimensionDisplayInds.some(function(t,e){return t!==i[e]});o&&i.forEach(function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e["dimensions["+a+"].displayindex"]=r});var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map(function(t){return t.displayInd});if(s=t.initialDragCategoryDisplayInds.some(function(t,e){return t!==l[e]})){var c=t.model.categories.slice().sort(function(t,e){return t.displayInd-e.displayInd}),u=c.map(function(t){return t.categoryValue}),h=c.map(function(t){return 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k(t){t.on("mousemove",function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)}).on("mouseleave",function(t){t.parent.inBrushDrag||m()}).call(a.behavior.drag().on("dragstart",function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar="ns"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter(function(t){return t[0]!==l[0]&&t[1]!==l[1]})),c.startExtent=s.region?l["s"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)}).on("drag",function(t){_(this,t)}).on("dragend",function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)}))}function T(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map(function(t){return t.slice().sort(s)}).sort(T)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce(function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]},[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map(function(t){return t.slice()})}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll("."+n.cn.axisBrush).data(o,i);e.enter().append("g").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(".background").data(o);e.enter().append("rect").classed("background",!0).call(p).call(d).style("pointer-events","auto").attr("transform","translate(0 "+n.verticalPadding+")"),e.call(k).attr("height",function(t){return t.height-n.verticalPadding});var r=t.selectAll(".highlight-shadow").data(o);r.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",n.bar.strokeColor).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),r.attr("y1",function(t){return t.height}).call(y);var a=t.selectAll(".highlight").data(o);a.enter().append("line").classed("highlight",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width-n.bar.strokeWidth).attr("stroke",n.bar.fillColor).attr("opacity",n.bar.fillOpacity).attr("stroke-linecap","butt"),a.attr("y1",function(t){return t.height}).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map(function(t){return t.sort(s)}),t=e.multiselect?A(t.sort(T)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map(function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e}).filter(function(t){return t})).length)return}return t.length>1?t:t[0]}}},{"../../lib":717,"../../lib/gup":715,"./constants":1086,d3:165}],1084:[function(t,e,r){"use strict";var n=t("d3"),a=t("../../plots/get_data").getModuleCalcData,i=t("./plot"),o=t("../../constants/xmlns_namespaces");r.name="parcoords",r.plot=function(t){var e=a(t.calcdata,"parcoords")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has("parcoords"),i=e._has&&e._has("parcoords");a&&!i&&(n._paperdiv.selectAll(".parcoords").remove(),n._glimages.selectAll("*").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter(function(t,e){return e===r.size()-1}).selectAll(".gl-canvas-context, .gl-canvas-focus").each(function(){var t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.width,height:this.height})}),window.setTimeout(function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")},60)}},{"../../constants/xmlns_namespaces":694,"../../plots/get_data":800,"./plot":1093,d3:165}],1085:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,a=t("../../components/colorscale"),i=t("../../lib/gup").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,"line")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:"line",cLetter:"c"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{"../../components/colorscale":603,"../../lib":717,"../../lib/gup":715}],1086:[function(t,e,r){"use strict";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:["contextLineLayer","focusLineLayer","pickLineLayer"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:"#777",bar:{width:4,captureWidth:10,fillColor:"magenta",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:"white",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:"axis-extent-text",parcoordsLineLayers:"parcoords-line-layers",parcoordsLineLayer:"parcoords-lines",parcoords:"parcoords",parcoordsControlView:"parcoords-control-view",yAxis:"y-axis",axisOverlays:"axis-overlays",axis:"axis",axisHeading:"axis-heading",axisTitle:"axis-title",axisExtent:"axis-extent",axisExtentTop:"axis-extent-top",axisExtentTopText:"axis-extent-top-text",axisExtentBottom:"axis-extent-bottom",axisExtentBottomText:"axis-extent-bottom-text",axisBrush:"axis-brush"},id:{filterBarPattern:"filter-bar-pattern"}}},{}],1087:[function(t,e,r){"use strict";var n=t("../../lib"),a=t("../../components/colorscale/helpers").hasColorscale,i=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("../../plots/cartesian/axes"),c=t("./attributes"),u=t("./axisbrush"),h=t("./constants").maxDimensionCount,f=t("./merge_length");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i("values"),s=i("visible");if(o&&o.length||(s=e.visible=!1),s){i("label"),i("tickvals"),i("ticktext"),i("tickformat");var h=i("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:h},l.setConvert(e._ax,a.layout),i("multiselect");var f=i("constraintrange");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log("parcoords traces support up to "+h+" dimensions at the moment"),d.splice(h));var g=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),v=function(t,e,r,o,s){var l=s("line.color",r);if(a(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),i(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,"values",v);var m={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,"labelfont",m),n.coerceFont(u,"tickfont",m),n.coerceFont(u,"rangefont",m),u("labelangle"),u("labelside")}},{"../../components/colorscale/defaults":601,"../../components/colorscale/helpers":602,"../../lib":717,"../../plots/array_container_defaults":761,"../../plots/cartesian/axes":765,"../../plots/domain":790,"./attributes":1082,"./axisbrush":1083,"./constants":1086,"./merge_length":1091}],1088:[function(t,e,r){"use strict";var n=t("../../lib").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!("visible"in t)}},{"../../lib":717}],1089:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:t("./base_plot"),categories:["gl","regl","noOpacity","noHover"],meta:{}}},{"./attributes":1082,"./base_plot":1084,"./calc":1085,"./defaults":1087,"./plot":1093}],1090:[function(t,e,r){"use strict";var n=t("glslify"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\n p17_20, p21_24, p25_28, p29_32,\n p33_36, p37_40, p41_44, p45_48,\n p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform sampler2D mask, palette;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\n\nbool isPick = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n return (\n fOutside(p[0], lo[0], hi[0]) ||\n fOutside(p[1], lo[1], hi[1]) ||\n fOutside(p[2], lo[2], hi[2]) ||\n fOutside(p[3], lo[3], hi[3])\n );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n return (\n vOutside(p[0], lo[0], hi[0]) ||\n vOutside(p[1], lo[1], hi[1]) ||\n vOutside(p[2], lo[2], hi[2]) ||\n vOutside(p[3], lo[3], hi[3])\n );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n return mOutside(A, loA, hiA) ||\n mOutside(B, loB, hiB) ||\n mOutside(C, loC, hiC) ||\n mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n mat4 pnts[4];\n pnts[0] = A;\n pnts[1] = B;\n pnts[2] = C;\n pnts[3] = D;\n\n for(int i = 0; i < 4; ++i) {\n for(int j = 0; j < 4; ++j) {\n for(int k = 0; k < 4; ++k) {\n if(0 == iMod(\n int(255.0 * texture2D(mask,\n vec2(\n (float(i * 2 + j / 2) + 0.5) / 8.0,\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n ))[3]\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n 2\n )) return true;\n }\n }\n }\n return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n float x = 0.5 * sign(v) + 0.5;\n float y = axisY(x, A, B, C, D);\n float z = 1.0 - abs(v);\n\n z += isContext ? 0.0 : 2.0 * float(\n outsideBoundingBox(A, B, C, D) ||\n outsideRasterMask(A, B, C, D)\n );\n\n return vec4(\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n z,\n 1.0\n );\n}\n\nvoid main() {\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n float v = colors[3];\n\n gl_Position = position(isContext, v, A, B, C, D);\n\n fragColor =\n isContext ? vec4(contextColor) :\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),i=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n gl_FragColor = fragColor;\n}\n"]),o=t("./constants").maxDimensionCount,s=t("../../lib"),l=1e-6,c=2048,u=new Uint8Array(4),h=new Uint8Array(4),f={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function p(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function d(t,e,r,n,a,i){var o=i.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,a-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],p(t,i.scissorX,i.scissorY,i.scissorWidth,i.viewBoxSize[1])),r.clearOnly||(i.count=2*c,i.offset=2*l*n,e(i),l*n+c<a&&(r.currentRafs[o]=window.requestAnimationFrame(function(){s(l+1)})),r.drawCompleted=!1)}(0)}function g(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function v(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),a=0,i=0;i<e;i++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*i+l];63===l&&0===o&&(c*=-1),n[a++]=c}return n}function y(t){var e="0"+t;return e.substr(e.length-2)}function x(t){return t<o?"p"+y(t+1)+"_"+y(t+4):"colors"}function b(t,e,r,n,a,i,o,l,c,u,h,f,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===a?1:0,d[1][g]=g===i?1:0;var v=t.lines.canvasOverdrag,m=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:h,resolution:[y,x],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:a,i1:i,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:f,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(t.pad.l-v)+t.layoutWidth*m.x[0],scissorWidth:(n===r?y-o+v:c+.5)+(n===e?o+v:0),scissorY:l+t.pad.b+t.layoutHeight*m.y[0],scissorHeight:u,viewportX:t.pad.l-v+t.layoutWidth*m.x[0],viewportY:t.pad.b+t.layoutHeight*m.y[0],viewportWidth:y,viewportHeight:x},p)}function _(t){var 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n=t("./parcoords"),a=t("../../lib/prepare_regl"),i=t("./helpers").isVisible;function o(t,e,r){var n=e.indexOf(r),a=t.indexOf(n);return-1===a&&(a+=e.length),a}e.exports=function(t,e){var r=t._fullLayout;if(a(t)){var s={},l={},c={},u={},h=r._size;e.forEach(function(e,r){var n=e[0].trace;c[r]=n.index;var a=u[r]=n._fullInput.index;s[r]=t.data[a].dimensions,l[r]=t.data[a].dimensions.slice()});n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,a){var i=l[e][n],o=a.map(function(t){return t.slice()}),s="dimensions["+n+"].constraintrange",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var 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n=t("../../plots/attributes"),a=t("../../plots/domain").attributes,i=t("../../plots/font_attributes"),o=t("../../components/color/attributes"),s=t("../../plots/template_attributes").hovertemplateAttrs,l=t("../../plots/template_attributes").texttemplateAttrs,c=t("../../lib/extend").extendFlat,u=i({editType:"plot",arrayOk:!0,colorEditType:"plot"});e.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},editType:"calc"},text:{valType:"data_array",editType:"plot"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:c({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),texttemplate:l({editType:"plot"},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:c({},u,{}),insidetextorientation:{valType:"enumerated",values:["horizontal","radial","tangential","auto"],dflt:"auto",editType:"plot"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:"boolean",dflt:!1,editType:"plot"},title:{text:{valType:"string",dflt:"",editType:"plot"},font:c({},u,{}),position:{valType:"enumerated",values:["top left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"plot"},editType:"plot"},domain:a({name:"pie",trace:!0,editType:"calc"}),hole:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},sort:{valType:"boolean",dflt:!0,editType:"calc"},direction:{valType:"enumerated",values:["clockwise","counterclockwise"],dflt:"counterclockwise",editType:"calc"},rotation:{valType:"number",min:-360,max:360,dflt:0,editType:"calc"},pull:{valType:"number",min:0,max:1,dflt:0,arrayOk:!0,editType:"calc"},_deprecated:{title:{valType:"string",dflt:"",editType:"calc"},titlefont:c({},u,{}),titleposition:{valType:"enumerated",values:["top left","top center","top right","middle center","bottom left","bottom center","bottom right"],editType:"calc"}}}},{"../../components/color/attributes":590,"../../lib/extend":708,"../../plots/attributes":762,"../../plots/domain":790,"../../plots/font_attributes":791,"../../plots/template_attributes":841}],1095:[function(t,e,r){"use strict";var n=t("../../plots/plots");r.name="pie",r.plot=function(t,e,a,i){n.plotBasePlot(r.name,t,e,a,i)},r.clean=function(t,e,a,i){n.cleanBasePlot(r.name,t,e,a,i)}},{"../../plots/plots":826}],1096:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),a=t("tinycolor2"),i=t("../../components/color"),o={};function s(t){return function(e,r){return!!e&&(!!(e=a(e)).isValid()&&(e=i.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o["_"+e.type+"colormap"]),v=0,m=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&""!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(v+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(m=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(v+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return("funnelarea"===e.type?m:e.sort)&&i.sort(function(t,e){return e.v-t.v}),i[0]&&(i[0].vTotal=v),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,a=t.calcdata,i=n[r+"colorway"],s=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{"../../components/color":591,"fast-isnumeric":228,tinycolor2:535}],1097:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),a=t("../../lib"),i=t("./attributes"),o=t("../../plots/domain").defaults,s=t("../bar/defaults").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c("labels"),c("values")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c("label0"),c("dlabel")),h){e._length=h,c("marker.line.width")&&c("marker.line.color"),c("marker.colors"),c("scalegroup");var f,p=c("text"),d=c("texttemplate");if(d||(f=c("textinfo",Array.isArray(p)?"text+percent":"percent")),c("hovertext"),c("hovertemplate"),d||f&&"none"!==f){var g=c("textposition");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||"auto"===g||"outside"===g)&&c("automargin"),("inside"===g||"auto"===g||Array.isArray(g))&&c("insidetextorientation")}o(e,n,c);var v=c("hole");if(c("title.text")){var m=c("title.position",v?"middle center":"top center");v||"middle center"!==m||(e.title.position="top center"),a.coerceFont(c,"title.font",n.font)}c("sort"),c("direction"),c("rotation"),c("pull")}else e.visible=!1}}},{"../../lib":717,"../../plots/domain":790,"../bar/defaults":860,"./attributes":1094,"fast-isnumeric":228}],1098:[function(t,e,r){"use strict";var n=t("../../components/fx/helpers").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},{"../../components/fx/helpers":626}],1099:[function(t,e,r){"use strict";var n=t("../../lib");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(".")&&(r=r.replace(/[.]?0+$/,"")),n.numSeparate(r,e)+"%"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(".")&&(r=r.replace(/[.]?0+$/,"")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||""===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{"../../lib":717}],1100:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults").supplyDefaults,supplyLayoutDefaults:t("./layout_defaults"),layoutAttributes:t("./layout_attributes"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style"),styleOne:t("./style_one"),moduleType:"trace",name:"pie",basePlotModule:t("./base_plot"),categories:["pie-like","pie","showLegend"],meta:{}}},{"./attributes":1094,"./base_plot":1095,"./calc":1096,"./defaults":1097,"./layout_attributes":1101,"./layout_defaults":1102,"./plot":1103,"./style":1104,"./style_one":1105}],1101:[function(t,e,r){"use strict";e.exports={hiddenlabels:{valType:"data_array",editType:"calc"},piecolorway:{valType:"colorlist",editType:"calc"},extendpiecolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],1102:[function(t,e,r){"use strict";var n=t("../../lib"),a=t("./layout_attributes");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r("hiddenlabels"),r("piecolorway",e.colorway),r("extendpiecolors")}},{"../../lib":717,"./layout_attributes":1101}],1103:[function(t,e,r){"use strict";var n=t("d3"),a=t("../../plots/plots"),i=t("../../components/fx"),o=t("../../components/color"),s=t("../../components/drawing"),l=t("../../lib"),c=t("../../lib/svg_text_utils"),u=t("../bar/uniform_text"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t("../bar/constants").TEXTPAD,d=t("./helpers"),g=t("./event_data"),v=t("../../lib").isValidTextValue;function m(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;"_hasHoverLabel"in o||(o._hasHoverLabel=!1),"_hasHoverEvent"in o||(o._hasHoverEvent=!1),t.on("mouseover",function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),"all"===h&&(h="label+text+value+percent+name"),u.hovertemplate||"none"!==h&&"skip"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),v=c+t.pxmid[1]*(1-f),m=r.separators,y=[];if(h&&-1!==h.indexOf("label")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf("text")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,m),h&&-1!==h.indexOf("value")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,m),h&&-1!==h.indexOf("percent")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:v,text:y.join("<br>"),name:u.hovertemplate||-1!==h.indexOf("name")?u.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit("plotly_hover",{points:[g(t,u)],event:n.event})}}),t.on("mouseout",function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)}),t.on("click",function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))})}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append("text").attr("data-notex",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h="horizontal"===u,f="tangential"===u,p="radial"===u,d="auto"===u,g=[];if(!d){var v,m=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(i="tan"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(v=4;v>=-4;v-=2)m(Math.PI*v,"tan");for(v=4;v>=-4;v-=2)m(Math.PI*(v+1),"tan")}if(h||p){for(v=4;v>=-4;v-=2)m(Math.PI*(v+1.5),"rad");for(v=4;v>=-4;v-=2)m(Math.PI*(v+.5),"rad")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,k=0;k<g.length;k++){var T=g[k].scale;if(b<T&&(b=T,x=k),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:k(i,o/e),rotate:T(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:k(i,o/e),rotate:T(a+Math.PI/2)}}function k(t,e){return Math.cos(e)-t*e}function T(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=C(i),-1!==i.title.position.indexOf("top")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf("bottom")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf("left")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf("center")?h*=2:-1!==i.title.position.indexOf("right")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=L(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function L(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function C(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&"middle center"!==i.title.position&&(l-=L(a,e));var c=s/2,u=l/2;"funnelarea"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+C(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf("bottom")&&(a.cy-=L(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if("pie"===a.type)l=r.r*r.r;else if("funnelarea"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;"funnelarea"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&"none"!==o){var s,c=o.split("+"),u=function(t){return-1!==c.indexOf(t)},h=u("label"),f=u("text"),p=u("value"),g=u("percent"),m=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);v(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,m)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join("<br>")}if(i){var x=l.castOption(a,e.i,"texttemplate");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,"customdata")}}(e),_=d.getFirstFilled(a.text,e.pts);(v(_)||""===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=""}}function I(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f("pie",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,"trace").each(function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c="px0",u="px1";if("counterclockwise"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c="px1",u="px0"}for(n=O(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(i,s),r.midangle=s,s+=l*r.v/2,n=O(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr("stroke-linejoin","round"),u.each(function(){var g=n.select(this).selectAll("g.slice").data(e);g.enter().append("g").classed("slice",!0),g.exit().remove();var v=[[[],[]],[[],[]]],x=!1;g.each(function(a,i){if(a.hidden)n.select(this).selectAll("path,g").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,v[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll("path.surface").data([a]);if(_.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),g.call(m,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var k=p.hole;if(a.v===f.vTotal){var T="M"+(o+a.px0[0])+","+(u+a.px0[1])+C(a.px0,a.pxmid,!0,1)+C(a.pxmid,a.px0,!0,1)+"Z";k?_.attr("d","M"+(o+k*a.px0[0])+","+(u+k*a.px0[1])+C(a.px0,a.pxmid,!1,k)+C(a.pxmid,a.px0,!1,k)+"Z"+T):_.attr("d",T)}else{var M=C(a.px0,a.px1,!0,1);if(k){var A=1-k;_.attr("d","M"+(o+k*a.px1[0])+","+(u+k*a.px1[1])+C(a.px1,a.px0,!1,k)+"l"+A*a.px0[0]+","+A*a.px0[1]+M+"Z")}else _.attr("d","M"+o+","+u+"l"+a.px0[0]+","+a.px0[1]+M+"Z")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),L=g.selectAll("g.slicetext").data(a.text&&"none"!==E?[0]:[]);L.enter().append("g").classed("slicetext",!0),L.exit().remove(),L.each(function(){var g=l.ensureSingle(n.select(this),"text","",function(t){t.attr("data-notex",1)}),v=l.ensureUniformFontSize(t,"outside"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(s.font,v).call(c.convertToTspans,t);var m,_=s.bBox(g.node());if("outside"===E)m=S(_,a);else if(m=b(_,a,f),"auto"===E&&m.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),m=S(_=s.bBox(g.node()),a)}var k=m.textPosAngle,T=void 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e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr("transform","translate("+e.x+","+e.y+")"+(e.scale<1?"scale("+e.scale+")":"")+"translate("+e.tx+","+e.ty+")")}),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p,g,v=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,x=t.cyFinal+o(t.px0[1],t.px1[1]),b=v-m;if(b*l>0&&(t.labelExtraY=b),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(f=u.cyFinal+o(u.px0[1],u.px1[1]),(b=f-m-t.labelExtraY)*l>0&&(t.labelExtraY+=b)):(y+t.labelExtraY-x)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),p=u.cxFinal+i(u.px0[0],u.px1[0]),(g=p+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=g)))}for(n=0;n<2;n++)for(a=n?v:m,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(v,p),function(t,e){t.each(function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select("g.slicetext text");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr("transform",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=t.cyFinal+t.pxmid[1],c="M"+i+","+s,u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var h=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(h)>Math.abs(f)?c+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(i+t.labelExtraX+u):c+="l"+t.labelExtraX+","+h+"v"+(f-h)+"h"+u}else c+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;l.ensureSingle(r,"path","textline").call(o.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:c,fill:"none"})}else r.select("path.textline").remove()})}(g,p),x&&p.automargin){var w=s.bBox(u.node()),k=p.domain,T=i.w*(k.x[1]-k.x[0]),M=i.h*(k.y[1]-k.y[0]),A=(.5*T-f.r)/i.w,L=(.5*M-f.r)/i.h;a.autoMargin(t,"pie."+p.uid+".automargin",{xl:k.x[0]-A,xr:k.x[1]+A,yb:k.y[0]-L,yt:k.y[1]+L,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}})});setTimeout(function(){u.selectAll("tspan").each(function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))})},0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:m,computeTransform:I}},{"../../components/color":591,"../../components/drawing":612,"../../components/fx":630,"../../lib":717,"../../lib/svg_text_utils":741,"../../plots/plots":826,"../bar/constants":858,"../bar/uniform_text":872,"./event_data":1098,"./helpers":1099,d3:165}],1104:[function(t,e,r){"use strict";var n=t("d3"),a=t("./style_one"),i=t("../bar/uniform_text").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(".trace");i(t,e,"pie"),e.each(function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each(function(t){n.select(this).call(a,t,e)})})}},{"../bar/uniform_text":872,"./style_one":1105,d3:165}],1105:[function(t,e,r){"use strict";var n=t("../../components/color"),a=t("./helpers").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style("stroke-width",s).call(n.fill,e.color).call(n.stroke,o)}},{"../../components/color":591,"./helpers":1099}],1106:[function(t,e,r){"use strict";var n=t("../scatter/attributes");e.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},{"../scatter/attributes":1120}],1107:[function(t,e,r){"use strict";var n=t("gl-pointcloud2d"),a=t("../../lib/str2rgbarray"),i=t("../../plots/cartesian/autorange").findExtremes,o=t("../scatter/get_trace_color");function s(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=a(t.marker.color),v=a(t.marker.border.color),m=t.opacity*t.marker.opacity;g[3]*=m,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,v[3]*=m,this.pointcloudOptions.borderColor=v;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,k=b/2||.5;t._extremes[_._id]=i(_,[d[0],d[2]],{ppad:k}),t._extremes[w._id]=i(w,[d[1],d[3]],{ppad:k})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{"../../lib/str2rgbarray":740,"../../plots/cartesian/autorange":764,"../scatter/get_trace_color":1130,"gl-pointcloud2d":295}],1108:[function(t,e,r){"use strict";var n=t("../../lib"),a=t("./attributes");e.exports=function(t,e,r){function i(r,i){return n.coerce(t,e,a,r,i)}i("x"),i("y"),i("xbounds"),i("ybounds"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),i("text"),i("marker.color",r),i("marker.opacity"),i("marker.blend"),i("marker.sizemin"),i("marker.sizemax"),i("marker.border.color",r),i("marker.border.arearatio"),e._length=null}},{"../../lib":717,"./attributes":1106}],1109:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("../scatter3d/calc"),plot:t("./convert"),moduleType:"trace",name:"pointcloud",basePlotModule:t("../../plots/gl2d"),categories:["gl","gl2d","showLegend"],meta:{}}},{"../../plots/gl2d":803,"../scatter3d/calc":1148,"./attributes":1106,"./convert":1107,"./defaults":1108}],1110:[function(t,e,r){"use strict";var n=t("../../plots/font_attributes"),a=t("../../plots/attributes"),i=t("../../components/color/attributes"),o=t("../../components/fx/attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/template_attributes").hovertemplateAttrs,c=t("../../components/colorscale/attributes"),u=t("../../plot_api/plot_template").templatedArray,h=t("../../lib/extend").extendFlat,f=t("../../plot_api/edit_types").overrideAll;t("../../constants/docs").FORMAT_LINK;(e.exports=f({hoverinfo:h({},a.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:"sankey",trace:!0}),orientation:{valType:"enumerated",values:["v","h"],dflt:"h"},valueformat:{valType:"string",dflt:".3s"},valuesuffix:{valType:"string",dflt:""},arrangement:{valType:"enumerated",values:["snap","perpendicular","freeform","fixed"],dflt:"snap"},textfont:n({}),customdata:void 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n="bgsankey-"+e.trace.uid+"-"+r;h.ensureSingle(t._fullLayout._draggers,"rect",n),t._fullData[r]._bgRect=a.select("."+n),t._fullData[r]._bgRect.style("pointer-events","all").attr("width",e.width).attr("height",e.height).attr("x",e.translateX).attr("y",e.translateY).classed("bgsankey",!0).style({fill:"transparent","stroke-width":0})}),_.transition().ease(n.ease).duration(n.duration).attr("transform",T);var z=_.selectAll("."+n.cn.sankeyLinks).data(d,p);z.enter().append("g").classed(n.cn.sankeyLinks,!0).style("fill","none");var I=z.selectAll("."+n.cn.sankeyLink).data(function(t){return t.graph.links.filter(function(t){return t.value}).map(function(t,e,r){var n=i(e.color),a=e.source.label+"|"+e.target.label+"__"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:y,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}.bind(null,t))},p);I.enter().append("path").classed(n.cn.sankeyLink,!0).call(P,_,f.linkEvents),I.style("stroke",function(t){return k(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue}).style("stroke-opacity",function(t){return k(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha}).style("fill",function(t){return t.tinyColorHue}).style("fill-opacity",function(t){return t.tinyColorAlpha}).style("stroke-width",function(t){return k(t)?t.linkLineWidth:1}).attr("d",y()),I.style("opacity",function(){return t._context.staticPlot||v||m?1:0}).transition().ease(n.ease).duration(n.duration).style("opacity",1),I.exit().transition().ease(n.ease).duration(n.duration).style("opacity",0).remove();var D=_.selectAll("."+n.cn.sankeyNodeSet).data(d,p);D.enter().append("g").classed(n.cn.sankeyNodeSet,!0),D.style("cursor",function(t){switch(t.arrangement){case"fixed":return"default";case"perpendicular":return"ns-resize";default:return"move"}});var R=D.selectAll("."+n.cn.sankeyNode).data(function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort(function(t,e){return t-e}),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(function(t,e){var r=i(e.color),a=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u="node_"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-a,zoneY:-s,zoneWidth:l+2*a,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join("_"),interactionState:t.interactionState,figure:t}}.bind(null,t))},p);R.enter().append("g").classed(n.cn.sankeyNode,!0).call(x).style("opacity",function(e){return!t._context.staticPlot&&!v||e.partOfGroup?0:1}),R.call(P,_,f.nodeEvents).call(O,I,f,t),R.transition().ease(n.ease).duration(n.duration).call(x).style("opacity",function(t){return t.partOfGroup?0:1}),R.exit().transition().ease(n.ease).duration(n.duration).style("opacity",0).remove();var F=R.selectAll("."+n.cn.nodeRect).data(d);F.enter().append("rect").classed(n.cn.nodeRect,!0).call(w),F.style("stroke-width",function(t){return t.nodeLineWidth}).style("stroke",function(t){return o.tinyRGB(i(t.nodeLineColor))}).style("stroke-opacity",function(t){return o.opacity(t.nodeLineColor)}).style("fill",function(t){return t.tinyColorHue}).style("fill-opacity",function(t){return t.tinyColorAlpha}),F.transition().ease(n.ease).duration(n.duration).call(w);var B=R.selectAll("."+n.cn.nodeCapture).data(d);B.enter().append("rect").classed(n.cn.nodeCapture,!0).style("fill-opacity",0),B.attr("x",function(t){return t.zoneX}).attr("y",function(t){return t.zoneY}).attr("width",function(t){return t.zoneWidth}).attr("height",function(t){return t.zoneHeight});var 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n=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var a={},i={_fullLayout:r},o=n.getFromTrace(i,e,"x"),s=n.getFromTrace(i,e,"y");return a.xLabel=n.tickText(o,t.x,!0).text,a.yLabel=n.tickText(s,t.y,!0).text,a}},{"../../plots/cartesian/axes":765}],1130:[function(t,e,r){"use strict";var n=t("../../components/color"),a=t("./subtypes");e.exports=function(t,e){var r,i;if("lines"===t.mode)return(r=t.line.color)&&n.opacity(r)?r:t.fillcolor;if("none"===t.mode)return t.fill?t.fillcolor:"";var o=e.mcc||(t.marker||{}).color,s=e.mlcc||((t.marker||{}).line||{}).color;return(i=o&&n.opacity(o)?o:s&&n.opacity(s)&&(e.mlw||((t.marker||{}).line||{}).width)?s:"")?n.opacity(i)<.3?n.addOpacity(i,.3):i:(r=(t.line||{}).color)&&n.opacity(r)&&a.hasLines(t)&&t.line.width?r:t.fillcolor}},{"../../components/color":591,"./subtypes":1144}],1131:[function(t,e,r){"use strict";var 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o,s=i("x"),l=i("y");if(a.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],r),s){var c=n.minRowLength(s);l?o=Math.min(c,n.minRowLength(l)):(o=c,i("y0"),i("dy"))}else{if(!l)return 0;o=n.minRowLength(l),i("x0"),i("dx")}return e._length=o,o}},{"../../lib":717,"../../registry":846}],1147:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),a=t("../../components/colorscale/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/template_attributes").texttemplateAttrs,s=t("../../plots/attributes"),l=t("../../constants/gl3d_dashes"),c=t("../../constants/gl3d_markers"),u=t("../../lib/extend").extendFlat,h=t("../../plot_api/edit_types").overrideAll,f=n.line,p=n.marker,d=p.line,g=u({width:f.width,dash:{valType:"enumerated",values:Object.keys(l),dflt:"solid"}},a("line"));var v=e.exports=h({x:n.x,y:n.y,z:{valType:"data_array"},text:u({},n.text,{}),texttemplate:o({},{}),hovertext:u({},n.hovertext,{}),hovertemplate:i(),mode:u({},n.mode,{dflt:"lines+markers"}),surfaceaxis:{valType:"enumerated",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:"color"},projection:{x:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}},y:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}},z:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}}},connectgaps:n.connectgaps,line:g,marker:u({symbol:{valType:"enumerated",values:Object.keys(c),dflt:"circle",arrayOk:!0},size:u({},p.size,{dflt:8}),sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode,opacity:u({},p.opacity,{arrayOk:!1}),colorbar:p.colorbar,line:u({width:u({},d.width,{arrayOk:!1})},a("marker.line"))},a("marker")),textposition:u({},n.textposition,{dflt:"top 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l=i(+t[s],s);if("log"===a.type){var c=a.c2l(t[s]),u=t[s]-l[0],h=t[s]+l[1];if(o[s]=[(a.c2l(u,!0)-c)*r,(a.c2l(h,!0)-c)*r],u>0){var f=a.c2l(u);a._lowerLogErrorBound||(a._lowerLogErrorBound=f),a._lowerErrorBound=Math.min(a._lowerLogErrorBound,f)}}else o[s]=[-l[0]*r,l[1]*r]}return o}e.exports=function(t,e,r){var n=[a(t.x,t.error_x,e[0],r.xaxis),a(t.y,t.error_y,e[1],r.yaxis),a(t.z,t.error_z,e[2],r.zaxis)],i=function(t){for(var e=0;e<t.length;e++)if(t[e])return t[e].length;return 0}(n);if(0===i)return null;for(var o=new Array(i),s=0;s<i;s++){for(var l=[[0,0,0],[0,0,0]],c=0;c<3;c++)if(n[c])for(var u=0;u<2;u++)l[u][c]=n[c][s][u];o[s]=l}return o}},{"../../registry":846}],1150:[function(t,e,r){"use strict";var n=t("gl-line3d"),a=t("gl-scatter3d"),i=t("gl-error3d"),o=t("gl-mesh3d"),s=t("delaunay-triangulate"),l=t("../../lib"),c=t("../../lib/str2rgbarray"),u=t("../../lib/gl_format_color").formatColor,h=t("../scatter/make_bubble_size_func"),f=t("../../constants/gl3d_dashes"),p=t("../../constants/gl3d_markers"),d=t("../../plots/cartesian/axes"),g=t("../../components/fx/helpers").appendArrayPointValue,v=t("./calc_errors");function m(t,e){this.scene=t,this.uid=e,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode="",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var y=m.prototype;function x(t){return null==t?0:t.indexOf("left")>-1?-1:t.indexOf("right")>-1?1:0}function b(t){return null==t?0:t.indexOf("top")>-1?-1:t.indexOf("bottom")>-1?1:0}function _(t,e){return e(4*t)}function w(t){return p[t]}function k(t,e,r,n,a){var i=null;if(l.isArrayOrTypedArray(t)){i=[];for(var o=0;o<e;o++)void 0===t[o]?i[o]=n:i[o]=r(t[o],a)}else i=r(t,l.identity);return i}function T(t,e){var r,n,a,i,o,s,f=[],p=t.fullSceneLayout,m=t.dataScale,y=p.xaxis,T=p.yaxis,M=p.zaxis,A=e.marker,S=e.line,E=e.x||[],L=e.y||[],C=e.z||[],P=E.length,O=e.xcalendar,z=e.ycalendar,I=e.zcalendar;for(o=0;o<P;o++)r=y.d2l(E[o],0,O)*m[0],n=T.d2l(L[o],0,z)*m[1],a=M.d2l(C[o],0,I)*m[2],f[o]=[r,n,a];if(Array.isArray(e.text))s=e.text;else if(void 0!==e.text)for(s=new Array(P),o=0;o<P;o++)s[o]=e.text;function D(t,e){var r=p[t];return d.tickText(r,r.d2l(e),!0).text}var R=e.texttemplate;if(R){var F=t.fullLayout._d3locale,B=Array.isArray(R),N=B?Math.min(R.length,P):P,j=B?function(t){return R[t]}:function(){return R};for(s=new Array(N),o=0;o<N;o++){var V={x:E[o],y:L[o],z:C[o]},U={xLabel:D("xaxis",E[o]),yLabel:D("yaxis",L[o]),zLabel:D("zaxis",C[o])},q={};g(q,e,o);var H=e._meta||{};s[o]=l.texttemplateString(j(o),U,F,q,V,H)}}if(i={position:f,mode:e.mode,text:s},"line"in e&&(i.lineColor=u(S,1,P),i.lineWidth=S.width,i.lineDashes=S.dash),"marker"in e){var G=h(e);i.scatterColor=u(A,1,P),i.scatterSize=k(A.size,P,_,20,G),i.scatterMarker=k(A.symbol,P,w,"\u25cf"),i.scatterLineWidth=A.line.width,i.scatterLineColor=u(A.line,1,P),i.scatterAngle=0}"textposition"in e&&(i.textOffset=function(t){var e=[0,0];if(Array.isArray(t))for(var r=0;r<t.length;r++)e[r]=[0,0],t[r]&&(e[r][0]=x(t[r]),e[r][1]=b(t[r]));else e[0]=x(t),e[1]=b(t);return e}(e.textposition),i.textColor=u(e.textfont,1,P),i.textSize=k(e.textfont.size,P,l.identity,12),i.textFont=e.textfont.family,i.textAngle=0);var Y=["x","y","z"];for(i.project=[!1,!1,!1],i.projectScale=[1,1,1],i.projectOpacity=[1,1,1],o=0;o<3;++o){var W=e.projection[Y[o]];(i.project[o]=W.show)&&(i.projectOpacity[o]=W.opacity,i.projectScale[o]=W.scale)}i.errorBounds=v(e,m,p);var X=function(t){for(var e=[0,0,0],r=[[0,0,0],[0,0,0],[0,0,0]],n=[1,1,1],a=0;a<3;a++){var i=t[a];i&&!1!==i.copy_zstyle&&!1!==t[2].visible&&(i=t[2]),i&&i.visible&&(e[a]=i.width/2,r[a]=c(i.color),n[a]=i.thickness)}return{capSize:e,color:r,lineWidth:n}}([e.error_x,e.error_y,e.error_z]);return i.errorColor=X.color,i.errorLineWidth=X.lineWidth,i.errorCapSize=X.capSize,i.delaunayAxis=e.surfaceaxis,i.delaunayColor=c(e.surfacecolor),i}function M(t){if(Array.isArray(t)){var e=t[0];return Array.isArray(e)&&(t=e),"rgb("+t.slice(0,3).map(function(t){return Math.round(255*t)})+")"}return null}y.handlePick=function(t){if(t.object&&(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){var e=t.index=t.data.index;return t.object.highlight&&t.object.highlight(null),this.scatterPlot&&(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),t.textLabel="",this.textLabels&&(Array.isArray(this.textLabels)?(this.textLabels[e]||0===this.textLabels[e])&&(t.textLabel=this.textLabels[e]):t.textLabel=this.textLabels),t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},y.update=function(t){var e,r,l,c,u=this.scene.glplot.gl,h=f.solid;this.data=t;var p=T(this.scene,t);"mode"in p&&(this.mode=p.mode),"lineDashes"in p&&p.lineDashes in f&&(h=f[p.lineDashes]),this.color=M(p.scatterColor)||M(p.lineColor),this.dataPoints=p.position,e={gl:this.scene.glplot.gl,position:p.position,color:p.lineColor,lineWidth:p.lineWidth||1,dashes:h[0],dashScale:h[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf("lines")?this.linePlot?this.linePlot.update(e):(this.linePlot=n(e),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf("markers")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=a(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf("text")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=a(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=i(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var g=function(t,e,r){var n,a=(r+1)%3,i=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[a])&&isFinite(c[a])&&!isNaN(c[i])&&isFinite(c[i])&&(o.push([c[a],c[i]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var h=u[n],f=0;f<h.length;++f)h[f]=l[h[f]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=u,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},y.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new m(t,e.uid);return r.update(e),r}},{"../../components/fx/helpers":626,"../../constants/gl3d_dashes":690,"../../constants/gl3d_markers":691,"../../lib":717,"../../lib/gl_format_color":714,"../../lib/str2rgbarray":740,"../../plots/cartesian/axes":765,"../scatter/make_bubble_size_func":1137,"./calc_errors":1149,"delaunay-triangulate":167,"gl-error3d":250,"gl-line3d":258,"gl-mesh3d":283,"gl-scatter3d":300}],1151:[function(t,e,r){"use strict";var n=t("../../registry"),a=t("../../lib"),i=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/text_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function h(r,n){return a.coerce(t,e,c,r,n)}if(function(t,e,r,a){var i=0,o=r("x"),s=r("y"),l=r("z");n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],a),o&&s&&l&&(i=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=i);return i}(t,e,h,u)){h("text"),h("hovertext"),h("hovertemplate"),h("mode"),i.hasLines(e)&&(h("connectgaps"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h("texttemplate"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h("surfaceaxis")>=0&&h("surfacecolor",f||p);for(var d=["x","y","z"],g=0;g<3;++g){var v="projection."+d[g];h(v+".show")&&(h(v+".opacity"),h(v+".scale"))}var m=n.getComponentMethod("errorbars","supplyDefaults");m(t,e,f||p||r,{axis:"z"}),m(t,e,f||p||r,{axis:"y",inherit:"z"}),m(t,e,f||p||r,{axis:"x",inherit:"z"})}else e.visible=!1}},{"../../lib":717,"../../registry":846,"../scatter/line_defaults":1133,"../scatter/marker_defaults":1139,"../scatter/subtypes":1144,"../scatter/text_defaults":1145,"./attributes":1147}],1152:[function(t,e,r){"use strict";e.exports={plot:t("./convert"),attributes:t("./attributes"),markerSymbols:t("../../constants/gl3d_markers"),supplyDefaults:t("./defaults"),colorbar:[{container:"marker",min:"cmin",max:"cmax"},{container:"line",min:"cmin",max:"cmax"}],calc:t("./calc"),moduleType:"trace",name:"scatter3d",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","symbols","showLegend","scatter-like"],meta:{}}},{"../../constants/gl3d_markers":691,"../../plots/gl3d":805,"./attributes":1147,"./calc":1148,"./convert":1150,"./defaults":1151}],1153:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),a=t("../../plots/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/template_attributes").texttemplateAttrs,s=t("../../components/colorscale/attributes"),l=t("../../lib/extend").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:"string",editType:"calc"},a:{valType:"data_array",editType:"calc"},b:{valType:"data_array",editType:"calc"},mode:l({},n.mode,{dflt:"markers"}),text:l({},n.text,{}),texttemplate:o({editType:"plot"},{keys:["a","b","text"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:["linear","spline"]}),smoothing:u.smoothing,editType:"calc"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:["none","toself","tonext"],dflt:"none"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:"calc"},s("marker.line")),gradient:c.gradient,editType:"calc"},s("marker")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:["a","b","text","name"]}),hoveron:n.hoveron,hovertemplate:i()}},{"../../components/colorscale/attributes":598,"../../lib/extend":708,"../../plots/attributes":762,"../../plots/template_attributes":841,"../scatter/attributes":1120}],1154:[function(t,e,r){"use 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n=t("../../lib"),a=t("../scatter/constants"),i=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),h=t("./attributes");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p("carpet"),e.xaxis="x",e.yaxis="y";var d=p("a"),g=p("b"),v=Math.min(d.length,g.length);if(v){e._length=v,p("text"),p("texttemplate"),p("hovertext"),p("mode",v<a.PTS_LINESONLY?"lines+markers":"lines"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p("connectgaps")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var m=[];(i.hasMarkers(e)||i.hasText(e))&&(p("marker.maxdisplayed"),m.push("points")),p("fill"),"none"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||m.push("fills"),"fills"!==p("hoveron",m.join("+")||"points")&&p("hovertemplate"),n.coerceSelectionMarkerOpacity(e,p)}else 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n=t("../../lib"),a=t("../scatter/subtypes"),i=t("../scatter/marker_defaults"),o=t("../scatter/line_defaults"),s=t("../scatter/text_defaults"),l=t("../scatter/fillcolor_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}var f,p=h("locations");if(p&&p.length){var d,g=h("geojson");("string"==typeof g&&""!==g||n.isPlainObject(g))&&(d="geojson-id"),"geojson-id"===h("locationmode",d)&&h("featureidkey"),f=p.length}else{var v=h("lon")||[],m=h("lat")||[];f=Math.min(v.length,m.length)}f?(e._length=f,h("text"),h("hovertext"),h("hovertemplate"),h("mode"),a.hasLines(e)&&(o(t,e,r,u,h),h("connectgaps")),a.hasMarkers(e)&&i(t,e,r,u,h,{gradient:!0}),a.hasText(e)&&(h("texttemplate"),s(t,e,u,h)),h("fill"),"none"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)):e.visible=!1}},{"../../lib":717,"../scatter/fillcolor_defaults":1128,"../scatter/line_defaults":1133,"../scatter/marker_defaults":1139,"../scatter/subtypes":1144,"../scatter/text_defaults":1145,"./attributes":1161}],1164:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,a){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var i=n[a];return i.fIn&&i.fIn.properties&&(t.properties=i.fIn.properties),t}},{}],1165:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes");e.exports=function(t,e,r){var a={},i=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=i(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var a=e.hi||t.hoverinfo,i="all"===a?s.hoverinfo.flags:a.split("+"),l=-1!==i.indexOf("location")&&Array.isArray(t.locations),c=-1!==i.indexOf("lon"),u=-1!==i.indexOf("lat"),h=-1!==i.indexOf("text"),f=[];function p(t){return t+"\xb0"}l?f.push(e.loc):c&&u?f.push("("+p(r.lonLabel)+", "+p(r.latLabel)+")"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&o(e,t,f);return f.join("<br>")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{"../../components/fx":630,"../../constants/numerical":693,"../../lib":717,"../scatter/get_trace_color":1130,"./attributes":1161}],1167:[function(t,e,r){"use 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n=t("d3"),a=t("../../lib"),i=t("../../lib/topojson_utils").getTopojsonFeatures,o=t("../../lib/geojson_utils"),s=t("../../lib/geo_location_utils"),l=t("../../plots/cartesian/autorange").findExtremes,c=t("../../constants/numerical").BADNUM,u=t("../scatter/calc").calcMarkerSize,h=t("../scatter/subtypes"),f=t("./style");e.exports={calcGeoJSON:function(t,e){var r,n,a=t[0].trace,o=e[a.geo],h=o._subplot,f=a._length;if(Array.isArray(a.locations)){var p=a.locationmode,d="geojson-id"===p?s.extractTraceFeature(t):i(a,h.topojson);for(r=0;r<f;r++){n=t[r];var g="geojson-id"===p?n.fOut:s.locationToFeature(p,n.loc,d);n.lonlat=g?g.properties.ct:[c,c]}}var v,m,y={padded:!0};if("geojson"===o.fitbounds&&"geojson-id"===a.locationmode){var x=s.computeBbox(s.getTraceGeojson(a));v=[x[0],x[2]],m=[x[1],x[3]]}else{for(v=new Array(f),m=new Array(f),r=0;r<f;r++)n=t[r],v[r]=n.lonlat[0],m[r]=n.lonlat[1];y.ppad=u(a,f)}a._extremes.lon=l(o.lonaxis._ax,v,y),a._extremes.lat=l(o.lataxis._ax,m,y)},plot:function(t,e,r){var i=e.layers.frontplot.select(".scatterlayer"),s=a.makeTraceGroups(i,r,"trace scattergeo");function l(t,e){t.lonlat[0]===c&&n.select(e).remove()}s.selectAll("*").remove(),s.each(function(e){var r=n.select(this),i=e[0].trace;if(h.hasLines(i)||"none"!==i.fill){var s=o.calcTraceToLineCoords(e),c="none"!==i.fill?o.makePolygon(s):o.makeLine(s);r.selectAll("path.js-line").data([{geojson:c,trace:i}]).enter().append("path").classed("js-line",!0).style("stroke-miterlimit",2)}h.hasMarkers(i)&&r.selectAll("path.point").data(a.identity).enter().append("path").classed("point",!0).each(function(t){l(t,this)}),h.hasText(i)&&r.selectAll("g").data(a.identity).enter().append("g").append("text").each(function(t){l(t,this)}),f(t,e)})}}},{"../../constants/numerical":693,"../../lib":717,"../../lib/geo_location_utils":711,"../../lib/geojson_utils":712,"../../lib/topojson_utils":744,"../../plots/cartesian/autorange":764,"../scatter/calc":1121,"../scatter/subtypes":1144,"./style":1170,d3:165}],1169:[function(t,e,r){"use strict";var n=t("../scatter/subtypes"),a=t("../../constants/numerical").BADNUM;e.exports=function(t,e){var 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n=t("../../plots/attributes"),a=t("../scatter/attributes"),i=t("../../components/colorscale/attributes"),o=t("../../lib/extend").extendFlat,s=t("../../plot_api/edit_types").overrideAll,l=t("./constants").DASHES,c=a.line,u=a.marker,h=u.line,f=e.exports=s({x:a.x,x0:a.x0,dx:a.dx,y:a.y,y0:a.y0,dy:a.dy,text:a.text,hovertext:a.hovertext,textposition:a.textposition,textfont:a.textfont,mode:{valType:"flaglist",flags:["lines","markers","text"],extras:["none"]},line:{color:c.color,width:c.width,shape:{valType:"enumerated",values:["linear","hv","vh","hvh","vhv"],dflt:"linear",editType:"plot"},dash:{valType:"enumerated",values:Object.keys(l),dflt:"solid"}},marker:o({},i("marker"),{symbol:u.symbol,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,opacity:u.opacity,colorbar:u.colorbar,line:o({},i("marker.line"),{width:h.width})}),connectgaps:a.connectgaps,fill:o({},a.fill,{dflt:"none"}),fillcolor:a.fillcolor,selected:{marker:a.selected.marker,textfont:a.selected.textfont},unselected:{marker:a.unselected.marker,textfont:a.unselected.textfont},opacity:n.opacity},"calc","nested");f.x.editType=f.y.editType=f.x0.editType=f.y0.editType="calc+clearAxisTypes",f.hovertemplate=a.hovertemplate,f.texttemplate=a.texttemplate},{"../../components/colorscale/attributes":598,"../../lib/extend":708,"../../plot_api/edit_types":748,"../../plots/attributes":762,"../scatter/attributes":1120,"./constants":1173}],1172:[function(t,e,r){"use 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n=t("../../lib"),a=t("../../registry"),i=t("./helpers"),o=t("./attributes"),s=t("../scatter/constants"),l=t("../scatter/subtypes"),c=t("../scatter/xy_defaults"),u=t("../scatter/marker_defaults"),h=t("../scatter/line_defaults"),f=t("../scatter/fillcolor_defaults"),p=t("../scatter/text_defaults");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var v=!!t.marker&&i.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?"lines+markers":"lines";g("text"),g("hovertext"),g("hovertemplate"),g("mode",x),l.hasLines(e)&&(g("connectgaps"),h(t,e,r,d,g),g("line.shape")),l.hasMarkers(e)&&(u(t,e,r,d,g),g("marker.line.width",v||m?1:0)),l.hasText(e)&&(g("texttemplate"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g("fill"),"none"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod("errorbars","supplyDefaults");w(t,e,b||_||r,{axis:"y"}),w(t,e,b||_||r,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,g)}else 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m=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var k={};k[t.index]=f;var T=a.extendFlat({},t,{color:i(o,f),x0:m-x,x1:m+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:k,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?T.text=f.htx:f.tx?T.text=f.tx:o.text&&(T.text=o.text),a.fillText(f,o,T),n.getComponentMethod("errorbars","hoverInfo")(f,o,T),T}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,v=d[0].trace,m=t.xa,y=t.ya,x=g.x,b=g.y,_=m.c2p(e),w=y.c2p(r),k=t.distance;if(g.tree){var T=m.p2c(_-k),M=m.p2c(_+k),A=y.p2c(w-k),S=y.p2c(w+k);a="x"===n?g.tree.range(Math.min(T,M),Math.min(y._rl[0],y._rl[1]),Math.max(T,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(T,M),Math.min(A,S),Math.max(T,M),Math.max(A,S))}else a=g.ids;var E=k;if("x"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(m.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=m.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,v)]},calcHover:o}},{"../../lib":717,"../../registry":846,"../scatter/get_trace_color":1130}],1180:[function(t,e,r){"use strict";var n=t("./hover");e.exports={moduleType:"trace",name:"scattergl",basePlotModule:t("../../plots/cartesian"),categories:["gl","regl","cartesian","symbols","errorBarsOK","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("../scatter/cross_trace_defaults"),colorbar:t("../scatter/marker_colorbar"),formatLabels:t("./format_labels"),calc:t("./calc"),plot:t("./plot"),hoverPoints:n.hoverPoints,selectPoints:t("./select"),meta:{}}},{"../../plots/cartesian":776,"../scatter/cross_trace_defaults":1126,"../scatter/marker_colorbar":1138,"./attributes":1171,"./calc":1172,"./defaults":1175,"./format_labels":1177,"./hover":1179,"./plot":1181,"./select":1183}],1181:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),a=t("regl-line2d"),i=t("regl-error2d"),o=t("gl-text"),s=t("../../lib"),l=t("../../lib/prepare_regl"),c=t("../scatter/subtypes"),u=t("../scatter/link_traces"),h=t("./edit_style").styleTextSelection;function f(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var p,d,g=t._fullLayout,v=e._scene,m=e.xaxis,y=e.yaxis;if(v)if(l(t,["ANGLE_instanced_arrays","OES_element_index_uint"])){var x=v.count,b=g._glcanvas.data()[0].regl;if(u(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(b)),!0===v.line2d&&(v.line2d=a(b)),!0===v.scatter2d&&(v.scatter2d=n(b)),!0===v.fill2d&&(v.fill2d=a(b)),!0===v.glText)for(v.glText=new Array(x),p=0;p<x;p++)v.glText[p]=new o(b);if(v.glText){if(x>v.glText.length){var _=x-v.glText.length;for(p=0;p<_;p++)v.glText.push(new o(b))}else if(x<v.glText.length){var w=v.glText.length-x;v.glText.splice(x,w).forEach(function(t){t.destroy()})}for(p=0;p<x;p++)v.glText[p].update(v.textOptions[p])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map(function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t}),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,x),v.fill2d&&(v.fillOptions=v.fillOptions.map(function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if("tozeroy"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if("tozerox"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if("toself"===s.fill||"tonext"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if("tonexty"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&"tonext"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,k=[a=w];for(i=0;i<_.length;i+=2)(isNaN(_[i])||isNaN(_[i+1]))&&(k.push(i/2+w+1),a=i+2);p=p.concat(_),t.hole=k}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}}),v.fill2d.update(v.fillOptions))}var T=g.dragmode,M="lasso"===T||"select"===T,A=g.clickmode.indexOf("select")>-1;for(p=0;p<x;p++){var S=r[p][0],E=S.trace,L=S.t,C=L.index,P=E._length,O=L.x,z=L.y;if(E.selectedpoints||M||A){if(M||(M=!0),E.selectedpoints){var I=v.selectBatch[C]=s.selIndices2selPoints(E),D={};for(d=0;d<I.length;d++)D[I[d]]=1;var R=[];for(d=0;d<P;d++)D[d]||R.push(d);v.unselectBatch[C]=R}var F=L.xpx=new Array(P),B=L.ypx=new Array(P);for(d=0;d<P;d++)F[d]=m.c2p(O[d]),B[d]=y.c2p(z[d])}else L.xpx=L.ypx=null}if(M){if(v.select2d||(v.select2d=n(g._glcanvas.data()[1].regl)),v.scatter2d){var N=new Array(x);for(p=0;p<x;p++)N[p]=v.selectBatch[p].length||v.unselectBatch[p].length?v.markerUnselectedOptions[p]:{};v.scatter2d.update(N)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach(function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)})}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var j={viewport:f(g,m,y),range:[(m._rl||m.range)[0],(y._rl||y.range)[0],(m._rl||m.range)[1],(y._rl||y.range)[1]]},V=s.repeat(j,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach(function(t){t.update(j)})}else v.init()}}},{"../../lib":717,"../../lib/prepare_regl":730,"../scatter/link_traces":1136,"../scatter/subtypes":1144,"./edit_style":1176,"gl-text":319,"regl-error2d":491,"regl-line2d":492,"regl-scatter2d":498}],1182:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=e._scene,a={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},i={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,i,a)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var a=0;a<r.count;a++)r.glText[a].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else c[h].length||o.draw(h);s[h]&&r.textOptions[h]&&s[h].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach(function(t){t.destroy&&t.destroy()}),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,a),r}},{"../../lib":717}],1183:[function(t,e,r){"use strict";var n=t("../scatter/subtypes"),a=t("./edit_style").styleTextSelection;e.exports=function(t,e){var r=t.cd,i=[],o=r[0].trace,s=r[0].t,l=o._length,c=s.x,u=s.y,h=s._scene,f=s.index;if(!h)return i;var p=n.hasText(o),d=n.hasMarkers(o),g=!d&&!p;if(!0!==o.visible||g)return i;var v=[],m=[];if(!1!==e&&!e.degenerate)for(var y=0;y<l;y++)e.contains([s.xpx[y],s.ypx[y]],!1,y,t)?(v.push(y),i.push({pointNumber:y,x:c[y],y:u[y]})):m.push(y);if(d){var x=h.scatter2d;if(v.length||m.length){if(!h.selectBatch[f].length&&!h.unselectBatch[f].length){var b=new Array(h.count);b[f]=h.markerUnselectedOptions[f],x.update.apply(x,b)}}else{var _=new Array(h.count);_[f]=h.markerOptions[f],x.update.apply(x,_)}}return h.selectBatch[f]=v,h.unselectBatch[f]=m,p&&a(r),i}},{"../scatter/subtypes":1144,"./edit_style":1176}],1184:[function(t,e,r){"use strict";var n=t("../../plots/template_attributes").hovertemplateAttrs,a=t("../../plots/template_attributes").texttemplateAttrs,i=t("../scattergeo/attributes"),o=t("../scatter/attributes"),s=t("../../plots/mapbox/layout_attributes"),l=t("../../plots/attributes"),c=t("../../components/colorscale/attributes"),u=t("../../lib/extend").extendFlat,h=t("../../plot_api/edit_types").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:"markers"}),text:u({},o.text,{}),texttemplate:a({editType:"plot"},{keys:["lat","lon","text"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:"string",dflt:"circle",arrayOk:!0},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c("marker")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:"string"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:["lon","lat","text","name"]}),hovertemplate:n()},"calc","nested")},{"../../components/colorscale/attributes":598,"../../lib/extend":708,"../../plot_api/edit_types":748,"../../plots/attributes":762,"../../plots/mapbox/layout_attributes":822,"../../plots/template_attributes":841,"../scatter/attributes":1120,"../scattergeo/attributes":1161}],1185:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),a=t("../../lib"),i=t("../../constants/numerical").BADNUM,o=t("../../lib/geojson_utils"),s=t("../../components/colorscale"),l=t("../../components/drawing"),c=t("../scatter/make_bubble_size_func"),u=t("../scatter/subtypes"),h=t("../../plots/mapbox/convert_text_opts"),f=t("../../components/fx/helpers").appendArrayPointValue,p=t("../../lib/svg_text_utils").NEWLINES,d=t("../../lib/svg_text_utils").BR_TAG_ALL;function g(){return{geojson:o.makeBlank(),layout:{visibility:"none"},paint:{}}}function v(t){return a.isArrayOrTypedArray(t)?function(t){return t}:t?function(){return t}:m}function m(){return""}function y(t){return t[0]===i}e.exports=function(t,e){var r,i=e[0].trace,x=!0===i.visible&&0!==i._length,b="none"!==i.fill,_=u.hasLines(i),w=u.hasMarkers(i),k=u.hasText(i),T=w&&"circle"===i.marker.symbol,M=w&&"circle"!==i.marker.symbol,A=g(),S=g(),E=g(),L=g(),C={fill:A,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(A.geojson=o.makePolygon(r),A.layout.visibility="visible",a.extendFlat(A.paint,{"fill-color":i.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility="visible",a.extendFlat(S.paint,{"line-width":i.line.width,"line-color":i.line.color,"line-opacity":i.opacity})),T){var P=function(t){var e,r,i,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=a.isArrayOrTypedArray(h.color),d=a.isArrayOrTypedArray(h.size),g=a.isArrayOrTypedArray(h.opacity);function v(t){return u.opacity*t}p&&(r=s.hasColorscale(u,"marker")?s.makeColorScaleFuncFromTrace(h):a.identity);d&&(i=c(u));g&&(o=function(t){var e=n(t)?+a.constrain(t,0,1):0;return v(e)});var m,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),i&&(w.mrc=b.mrc=i(b.ms)),o&&(w.mo=o(b.mo)),f&&(w.selected=b.selected||0),x.push({type:"Feature",geometry:{type:"Point",coordinates:_},properties:w})}}if(f)for(m=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var k=x[e].properties;m.selectedOpacityFn&&(k.mo=v(m.selectedOpacityFn(k))),m.selectedColorFn&&(k.mcc=m.selectedColorFn(k)),m.selectedSizeFn&&(k.mrc=m.selectedSizeFn(k))}return{geojson:{type:"FeatureCollection",features:x},mcc:p||m&&m.selectedColorFn?{type:"identity",property:"mcc"}:h.color,mrc:d||m&&m.selectedSizeFn?{type:"identity",property:"mrc"}:(T=h.size,T/2),mo:g||m&&m.selectedOpacityFn?{type:"identity",property:"mo"}:v(h.opacity)};var T}(e);E.geojson=P.geojson,E.layout.visibility="visible",a.extendFlat(E.paint,{"circle-color":P.mcc,"circle-radius":P.mrc,"circle-opacity":P.mo})}if((M||k)&&(L.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,i=(n.marker||{}).symbol,o="circle"!==i?v(i):m,s=u.hasText(n)?v(n.text):m,l=[],c=0;c<t.length;c++){var h=t[c];if(!y(h.lonlat)){var g,x=n.texttemplate;if(x){var b=Array.isArray(x)?x[c]||"":x,_=n._module.formatLabels(h,n,r),w={};f(w,n,h.i);var k=n._meta||{};g=a.texttemplateString(b,_,r._d3locale,w,h,k)}else 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n=t("../scatterpolar/attributes"),a=t("../scattergl/attributes"),i=t("../../plots/template_attributes").texttemplateAttrs;e.exports={mode:n.mode,r:n.r,theta:n.theta,r0:n.r0,dr:n.dr,theta0:n.theta0,dtheta:n.dtheta,thetaunit:n.thetaunit,text:n.text,texttemplate:i({editType:"plot"},{keys:["r","theta","text"]}),hovertext:n.hovertext,hovertemplate:n.hovertemplate,line:a.line,connectgaps:a.connectgaps,marker:a.marker,fill:a.fill,fillcolor:a.fillcolor,textposition:a.textposition,textfont:a.textfont,hoverinfo:n.hoverinfo,selected:n.selected,unselected:n.unselected}},{"../../plots/template_attributes":841,"../scattergl/attributes":1171,"../scatterpolar/attributes":1193}],1201:[function(t,e,r){"use strict";var n=t("../scatter/colorscale_calc"),a=t("../scatter/calc").calcMarkerSize,i=t("../scattergl/convert"),o=t("../../plots/cartesian/axes"),s=t("../scattergl/constants").TOO_MANY_POINTS;e.exports=function(t,e){var 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n=t("../../components/colorscale/attributes"),a=t("../../plots/template_attributes").hovertemplateAttrs,i=t("../mesh3d/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:a({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]}),showlegend:s({},o.showlegend,{dflt:!1})};s(l,n("",{colorAttr:"u/v/w 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A=o(t._x),S=o(t._y),E=o(t._z);M=(M=(M=M.replace("x",(c>u?"-":"+")+"x")).replace("y",(h>f?"-":"+")+"y")).replace("z",(p>d?"-":"+")+"z");var L=function(){y=0,A=[],S=[],E=[]};(!y||y<A.length*S.length*E.length)&&L();var C=function(t){return"x"===t?g:"y"===t?v:m},P=function(t){return"x"===t?A:"y"===t?S:E},O=function(t){return t[y-1]<t[0]?-1:1},z=C(M[1]),I=C(M[3]),D=C(M[5]),R=P(M[1]).length,F=P(M[3]).length,B=P(M[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},V=O(C(M[1])),U=O(C(M[3])),q=O(C(M[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(a=0;a<R-1;a++){var H=j(e,r,a),G=j(e,r,a+1),Y=j(e,r+1,a),W=j(e+1,r,a);if(z[H]*V<z[G]*V&&I[H]*U<I[Y]*U&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn("Encountered arbitrary coordinates! 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m=n[u];r.xMax=Math.max(r.xMax,m),r.xMin=Math.min(r.xMin,m);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:i}},{"../../components/colorscale/calc":599,"../../lib":717}],1228:[function(t,e,r){"use strict";var n=t("gl-streamtube3d"),a=n.createTubeMesh,i=t("../../lib"),o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var h=u.prototype;function f(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,a=t.dataScale,u=e._len,h={};function d(t,e){var n=r[e],o=a[c[e]];return 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O.lightPosition=[I.x,I.y,I.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var a=e[n],i=r[c[n]];return a.l2c(t)/i}if(t.object===this.mesh){var a=t.data.position,i=t.data.velocity;return t.traceCoordinate=[n(a[0],"xaxis"),n(a[1],"yaxis"),n(a[2],"zaxis"),n(i[0],"xaxis"),n(i[1],"yaxis"),n(i[2],"zaxis"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),i=a(r,n),o=new u(t,e.uid);return 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e={rpx0:C,rpx1:C},o.extendFlat(e,X(t));else e={rpx0:0,rpx1:0};else e={x0:0,x1:0};return n.interpolate(e,a)}(t);return function(t){return U(e(t))}}):u.attr("d",U),l.call(v,T,t,e,{eventDataKeys:m.eventDataKeys,transitionTime:m.CLICK_TRANSITION_TIME,transitionEasing:m.CLICK_TRANSITION_EASING}).call(y.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),u.call(d,a,w);var x=o.ensureSingle(l,"g","slicetext"),b=o.ensureSingle(x,"text","",function(t){t.attr("data-notex",1)}),k=o.ensureUniformFontSize(t,y.determineTextFont(w,a,h.font));b.text(r.formatSliceLabel(a,T,w,e,h)).classed("slicetext",!0).attr("text-anchor","middle").call(i.font,k).call(s.convertToTspans,t);var M=i.bBox(b.node());a.transform=p(M,a,_),a.transform.targetX=q(a),a.transform.targetY=H(a);var A=function(t,e){var r=t.transform;return f(r,e),r.fontSize=k.size,c(w.type,r,h),o.getTextTransform(r)};g?b.transition().attrTween("transform",function(t){var e=function(t){var e,r=I[y.getPtId(t)],a=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:a.textPosAngle,scale:0,rotate:a.rotate,rCenter:a.rCenter,x:a.x,y:a.y}},z)if(t.parent)if(G){var i=t.x1>G?2*Math.PI:0;e.x0=e.x1=i}else o.extendFlat(e,X(t));else e.x0=e.x1=0;else e.x0=e.x1=0;var s=n.interpolate(e.transform.textPosAngle,t.transform.textPosAngle),l=n.interpolate(e.rpx1,t.rpx1),u=n.interpolate(e.x0,t.x0),f=n.interpolate(e.x1,t.x1),p=n.interpolate(e.transform.scale,a.scale),d=n.interpolate(e.transform.rotate,a.rotate),g=0===a.rCenter?3:0===e.transform.rCenter?1/3:1,v=n.interpolate(e.transform.rCenter,a.rCenter);return function(t){var e=l(t),r=u(t),n=f(t),i=function(t){return v(Math.pow(t,g))}(t),o=V(e,(r+n)/2),m=s(t),y={pxmid:o,rpx1:e,transform:{textPosAngle:m,rCenter:i,x:a.x,y:a.y}};return c(w.type,a,h),{transform:{targetX:q(y),targetY:H(y),scale:p(t),rotate:d(t),rCenter:i}}}}(t);return function(t){return A(e(t),M)}}):b.attr("transform",A(a,M))})}function b(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,a){var i,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,h=!s.uniformtext.mode&&y.hasTransition(r);(u("sunburst",s),(i=l.selectAll("g.trace.sunburst").data(e,function(t){return t[0].trace.uid})).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),i.order(),h)?(a&&(o=a()),n.transition().duration(r.duration).ease(r.easing).each("end",function(){o&&o()}).each("interrupt",function(){o&&o()}).each(function(){l.selectAll("g.trace").each(function(e){x(t,e,this,r)})})):(i.each(function(e){x(t,e,this,r)}),s.uniformtext.mode&&g(t,s._sunburstlayer.selectAll(".trace"),"sunburst"));c&&i.exit().remove()},r.formatSliceLabel=function(t,e,r,n,a){var i=r.texttemplate,s=r.textinfo;if(!(i||s&&"none"!==s))return"";var l=a.separators,c=n[0],u=t.data.data,h=c.hierarchy,f=y.isHierarchyRoot(t),p=y.getParent(h,t),d=y.getValue(t);if(!i){var g,v=s.split("+"),m=function(t){return-1!==v.indexOf(t)},x=[];if(m("label")&&u.label&&x.push(u.label),u.hasOwnProperty("v")&&m("value")&&x.push(y.formatValue(u.v,l)),!f){m("current path")&&x.push(y.getPath(t.data));var b=0;m("percent parent")&&b++,m("percent entry")&&b++,m("percent root")&&b++;var _=b>1;if(b){var w,k=function(t){g=y.formatPercent(w,l),_&&(g+=" of "+t),x.push(g)};m("percent parent")&&!f&&(w=d/y.getValue(p),k("parent")),m("percent entry")&&(w=d/y.getValue(e),k("entry")),m("percent root")&&(w=d/y.getValue(h),k("root"))}}return m("text")&&(g=o.castOption(r,u.i,"text"),o.isValidTextValue(g)&&x.push(g)),x.join("<br>")}var T=o.castOption(r,u.i,"texttemplate");if(!T)return"";var M={};u.label&&(M.label=u.label),u.hasOwnProperty("v")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty("color")&&(M.color=u.color);var A=o.castOption(r,u.i,"text");return(o.isValidTextValue(A)||""===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,"customdata"),o.texttemplateString(T,M,a._d3locale,M,r._meta||{})}},{"../../components/drawing":612,"../../lib":717,"../../lib/svg_text_utils":741,"../bar/style":870,"../bar/uniform_text":872,"../pie/plot":1103,"./constants":1234,"./fx":1236,"./helpers":1237,"./style":1242,d3:165,"d3-hierarchy":159}],1242:[function(t,e,r){"use strict";var n=t("d3"),a=t("../../components/color"),i=t("../../lib"),o=t("../bar/uniform_text").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=i.castOption(r,s,"marker.line.color")||a.defaultLine,c=i.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(a.fill,n.color).call(a.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(".trace");o(t,e,"sunburst"),e.each(function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each(function(t){n.select(this).call(s,t,r)})})},styleOne:s}},{"../../components/color":591,"../../lib":717,"../bar/uniform_text":872,d3:165}],1243:[function(t,e,r){"use strict";var n=t("../../components/color"),a=t("../../components/colorscale/attributes"),i=t("../../plots/template_attributes").hovertemplateAttrs,o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll;function c(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},a("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:"boolean",dflt:!1},lightposition:{x:{valType:"number",min:-1e5,max:1e5,dflt:10},y:{valType:"number",min:-1e5,max:1e5,dflt:1e4},z:{valType:"number",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:"number",min:0,max:1,dflt:.8},diffuse:{valType:"number",min:0,max:1,dflt:.8},specular:{valType:"number",min:0,max:2,dflt:.05},roughness:{valType:"number",min:0,max:1,dflt:.5},fresnel:{valType:"number",min:0,max:5,dflt:.2}},opacity:{valType:"number",min:0,max:1,dflt:1},opacityscale:{valType:"any",editType:"calc"},_deprecated:{zauto:s({},a.zauto,{}),zmin:s({},a.zmin,{}),zmax:s({},a.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),"calc","nested");u.x.editType=u.y.editType=u.z.editType="calc+clearAxisTypes",u.transforms=void 0},{"../../components/color":591,"../../components/colorscale/attributes":598,"../../lib/extend":708,"../../plot_api/edit_types":748,"../../plots/attributes":762,"../../plots/template_attributes":841}],1244:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":599}],1245:[function(t,e,r){"use strict";var n=t("gl-surface3d"),a=t("ndarray"),i=t("ndarray-homography"),o=t("ndarray-fill"),s=t("../../lib").isArrayOrTypedArray,l=t("../../lib/gl_format_color").parseColorScale,c=t("../../lib/str2rgbarray"),u=t("../../components/colorscale").extractOpts,h=t("../heatmap/interp2d"),f=t("../heatmap/find_empties");function p(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var d=p.prototype;d.getXat=function(t,e,r,n){var a=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},d.getYat=function(t,e,r,n){var a=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},d.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},d.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<g.length;r++){var n=g[r];e.push(v(t,n))}return e}function y(t){for(var e=m(t),r=t,n=0;n<g.length;n++)if(e[n]>0){r=g[n];break}return r}function x(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<g.length;i++)a*=Math.pow(g[i],Math.max(r[i],n[i]));return a}}d.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},d.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var b=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],_=b[9],w=b[13];function k(t,e){for(var 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n=t("d3"),a=t("../../lib"),i=t("../../components/drawing"),o=t("../../lib/svg_text_utils"),s=t("./partition"),l=t("./style").styleOne,c=t("./constants"),u=t("../sunburst/helpers"),h=t("../sunburst/fx"),f=t("../sunburst/plot").formatSliceLabel;e.exports=function(t,e,r,p,d){var g=d.width,v=d.height,m=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,k=d.handleSlicesExit,T=d.makeUpdateSliceInterpolator,M=d.makeUpdateTextInterpolator,A=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf("left"),C=-1!==E.textposition.indexOf("right"),P=-1!==E.textposition.indexOf("bottom"),O=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,z=s(r,[g,v],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf("x")>-1,flipY:E.tiling.flip.indexOf("y")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),I=1/0,D=-1/0;z.forEach(function(t){var 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s,l,c=(n||{}).hovered,u=e.data.data,h=u.i,f=u.color,p=o.isHierarchyRoot(e),d=1;if(c)s=r._hovered.marker.line.color,l=r._hovered.marker.line.width;else if(p&&"rgba(0,0,0,0)"===f)d=0,s="rgba(0,0,0,0)",l=0;else if(s=i.castOption(r,h,"marker.line.color")||a.defaultLine,l=i.castOption(r,h,"marker.line.width")||0,!r._hasColorscale&&!e.onPathbar){var g=r.marker.depthfade;if(g){var v,m=a.combine(a.addOpacity(r._backgroundColor,.75),f);if(!0===g){var y=o.getMaxDepth(r);v=isFinite(y)?o.isLeaf(e)?0:r._maxVisibleLayers-(e.data.depth-r._entryDepth):e.data.height+1}else v=e.data.depth-r._entryDepth,r._atRootLevel||v++;if(v>0)for(var x=0;x<v;x++){var b=.5*x/v;f=a.combine(a.addOpacity(m,b),f)}}}t.style("stroke-width",l).call(a.fill,f).call(a.stroke,s).style("opacity",d)}e.exports={style:function(t){var e=t._fullLayout._treemaplayer.selectAll(".trace");s(t,e,"treemap"),e.each(function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each(function(t){n.select(this).call(l,t,r,{hovered:!1})})})},styleOne:l}},{"../../components/color":591,"../../lib":717,"../bar/uniform_text":872,"../sunburst/helpers":1237,d3:165}],1270:[function(t,e,r){"use strict";var n=t("../box/attributes"),a=t("../../lib/extend").extendFlat;e.exports={y:n.y,x:n.x,x0:n.x0,y0:n.y0,name:a({},n.name,{}),orientation:a({},n.orientation,{}),bandwidth:{valType:"number",min:0,editType:"calc"},scalegroup:{valType:"string",dflt:"",editType:"calc"},scalemode:{valType:"enumerated",values:["width","count"],dflt:"width",editType:"calc"},spanmode:{valType:"enumerated",values:["soft","hard","manual"],dflt:"soft",editType:"calc"},span:{valType:"info_array",items:[{valType:"any",editType:"calc"},{valType:"any",editType:"calc"}],editType:"calc"},line:{color:{valType:"color",editType:"style"},width:{valType:"number",min:0,dflt:2,editType:"style"},editType:"plot"},fillcolor:n.fillcolor,points:a({},n.boxpoints,{}),jitter:a({},n.jitter,{}),pointpos:a({},n.pointpos,{}),width:a({},n.width,{}),marker:n.marker,text:n.text,hovertext:n.hovertext,hovertemplate:n.hovertemplate,box:{visible:{valType:"boolean",dflt:!1,editType:"plot"},width:{valType:"number",min:0,max:1,dflt:.25,editType:"plot"},fillcolor:{valType:"color",editType:"style"},line:{color:{valType:"color",editType:"style"},width:{valType:"number",min:0,editType:"style"},editType:"style"},editType:"plot"},meanline:{visible:{valType:"boolean",dflt:!1,editType:"plot"},color:{valType:"color",editType:"style"},width:{valType:"number",min:0,editType:"style"},editType:"plot"},side:{valType:"enumerated",values:["both","positive","negative"],dflt:"both",editType:"calc"},offsetgroup:n.offsetgroup,alignmentgroup:n.alignmentgroup,selected:n.selected,unselected:n.unselected,hoveron:{valType:"flaglist",flags:["violins","points","kde"],dflt:"violins+points+kde",extras:["all"],editType:"style"}}},{"../../lib/extend":708,"../box/attributes":881}],1271:[function(t,e,r){"use 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v=r[g],m=v.pts.map(o.extractVal),y=v.bandwidth=l(e,v,m),x=v.span=c(e,v,u,y);if(v.min===v.max&&0===y)x=v.span=[v.min,v.max],v.density=[{v:1,t:x[0]}],v.bandwidth=y,p=Math.max(p,1);else{var b=x[1]-x[0],_=Math.ceil(b/(y/3)),w=b/_;if(!isFinite(w)||!isFinite(_))return n.error("Something went wrong with computing the violin span"),r[0].t.empty=!0,r;var k=o.makeKDE(v,e,m);v.density=new Array(_);for(var T=0,M=x[0];M<x[1]+w/2;T++,M+=w){var A=k(M);v.density[T]={v:A,t:M},p=Math.max(p,A)}}d=Math.max(d,m.length),h=Math.min(h,x[0]),f=Math.max(f,x[1])}var S=a.findExtremes(u,[h,f],{padded:!0});if(e._extremes[u._id]=S,e.width)r[0].t.maxKDE=p;else{var E=s._violinScaleGroupStats,L=e.scalegroup,C=E[L];C?(C.maxKDE=Math.max(C.maxKDE,p),C.maxCount=Math.max(C.maxCount,d)):E[L]={maxKDE:p,maxCount:d}}return r[0].t.labels.kde=n._(t,"kde:"),r}},{"../../constants/numerical":693,"../../lib":717,"../../plots/cartesian/axes":765,"../box/calc":882,"./helpers":1274}],1272:[function(t,e,r){"use strict";var n=t("../box/cross_trace_calc").setPositionOffset,a=["v","h"];e.exports=function(t,e){for(var r=t.calcdata,i=e.xaxis,o=e.yaxis,s=0;s<a.length;s++){for(var l=a[s],c="h"===l?o:i,u=[],h=0;h<r.length;h++){var f=r[h],p=f[0].t,d=f[0].trace;!0!==d.visible||"violin"!==d.type||p.empty||d.orientation!==l||d.xaxis!==i._id||d.yaxis!==o._id||u.push(h)}n("violin",t,u,c)}}},{"../box/cross_trace_calc":883}],1273:[function(t,e,r){"use strict";var n=t("../../lib"),a=t("../../components/color"),i=t("../box/defaults"),o=t("./attributes");e.exports=function(t,e,r,s){function l(r,a){return n.coerce(t,e,o,r,a)}function c(r,a){return n.coerce2(t,e,o,r,a)}if(i.handleSampleDefaults(t,e,l,s),!1!==e.visible){l("bandwidth"),l("side"),l("width")||(l("scalegroup",e.name),l("scalemode"));var u,h=l("span");Array.isArray(h)&&(u="manual"),l("spanmode",u);var f=l("line.color",(t.marker||{}).color||r),p=l("line.width"),d=l("fillcolor",a.addOpacity(e.line.color,.5));i.handlePointsDefaults(t,e,l,{prefix:""});var g=c("box.width"),v=c("box.fillcolor",d),m=c("box.line.color",f),y=c("box.line.width",p);l("box.visible",Boolean(g||v||m||y))||(e.box={visible:!1});var x=c("meanline.color",f),b=c("meanline.width",p);l("meanline.visible",Boolean(x||b))||(e.meanline={visible:!1})}}},{"../../components/color":591,"../../lib":717,"../box/defaults":884,"./attributes":1270}],1274:[function(t,e,r){"use strict";var n=t("../../lib"),a=function(t){return 1/Math.sqrt(2*Math.PI)*Math.exp(-.5*t*t)};r.makeKDE=function(t,e,r){var n=r.length,i=a,o=t.bandwidth,s=1/(n*o);return function(t){for(var e=0,a=0;a<n;a++)e+=i((t-r[a])/o);return s*e}},r.getPositionOnKdePath=function(t,e,r){var a,i;"h"===e.orientation?(a="y",i="x"):(a="x",i="y");var o=n.findPointOnPath(t.path,r,i,{pathLength:t.pathLength}),s=t.posCenterPx,l=o[a];return[l,"both"===e.side?2*s-l:s]},r.getKdeValue=function(t,e,n){var a=t.pts.map(r.extractVal);return r.makeKDE(t,e,a)(n)/t.posDensityScale},r.extractVal=function(t){return 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n=t("../box/layout_attributes"),a=t("../../lib").extendFlat;e.exports={violinmode:a({},n.boxmode,{}),violingap:a({},n.boxgap,{}),violingroupgap:a({},n.boxgroupgap,{})}},{"../../lib":717,"../box/layout_attributes":888}],1278:[function(t,e,r){"use strict";var n=t("../../lib"),a=t("./layout_attributes"),i=t("../box/layout_defaults");e.exports=function(t,e,r){i._supply(t,e,r,function(r,i){return n.coerce(t,e,a,r,i)},"violin")}},{"../../lib":717,"../box/layout_defaults":889,"./layout_attributes":1277}],1279:[function(t,e,r){"use strict";var n=t("d3"),a=t("../../lib"),i=t("../../components/drawing"),o=t("../box/plot"),s=t("../scatter/line_points"),l=t("./helpers");e.exports=function(t,e,r,c){var u=t._fullLayout,h=e.xaxis,f=e.yaxis;function p(t){var e=s(t,{xaxis:h,yaxis:f,connectGaps:!0,baseTolerance:.75,shape:"spline",simplify:!0,linearized:!0});return i.smoothopen(e[0],1)}a.makeTraceGroups(c,r,"trace violins").each(function(t){var 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S=[M,v.c2p(w[0].t)],E=[M,v.c2p(w[k-1].t)];"h"===c.orientation&&(S.reverse(),E.reverse()),i=x?"M"+S+"L"+r.substr(1)+"L"+E:"M"+E+"L"+a.substr(1)+"L"+S}_.attr("d",i),t.posCenterPx=M,t.posDensityScale=e*g,t.path=_.node(),t.pathLength=t.path.getTotalLength()/(y?2:1)});var w,k,T,M=c.box,A=M.width,S=(M.line||{}).width;y?(w=g*A,k=0):x?(w=[0,g*A/2],k=S*{x:1,y:-1}[s.posLetter]):(w=[g*A/2,0],k=S*{x:-1,y:1}[s.posLetter]),o.plotBoxAndWhiskers(r,{pos:m,val:v},c,{bPos:d,bdPos:w,bPosPxOffset:k}),o.plotBoxMean(r,{pos:m,val:v},c,{bPos:d,bdPos:w,bPosPxOffset:k}),!c.box.visible&&c.meanline.visible&&(T=a.identity);var E=r.selectAll("path.meanline").data(T||[]);E.enter().append("path").attr("class","meanline").style("fill","none").style("vector-effect","non-scaling-stroke"),E.exit().remove(),E.each(function(t){var 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h={"stroke-width":u+"px","stroke-dasharray":2*u+"px,"+u+"px"};o.selectAll("path.mean").style(h).call(a.stroke,c.color),o.selectAll("path.meanline").style(h).call(a.stroke,c.color),i(o,r,t)})}},{"../../components/color":591,"../scatter/style":1143,d3:165}],1281:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),a=t("../isosurface/attributes"),i=t("../surface/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll,c=e.exports=l(s({x:a.x,y:a.y,z:a.z,value:a.value,isomin:a.isomin,isomax:a.isomax,surface:a.surface,spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:1}},slices:a.slices,caps:a.caps,text:a.text,hovertext:a.hovertext,hovertemplate:a.hovertemplate},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{colorbar:a.colorbar,opacity:a.opacity,opacityscale:i.opacityscale,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),"calc","nested");c.x.editType=c.y.editType=c.z.editType=c.value.editType="calc+clearAxisTypes",c.transforms=void 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f=this.data.hovertext||this.data.text;return Array.isArray(f)&&void 0!==f[h]?t.textLabel=f[h]:f&&(t.textLabel=f),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map(function(e){return t.d2l(e,0,n)*r})}this.data=c(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,opacityscale:t.opacityscale,contourEnable:t.contour.show,contourColor:i(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},u=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[u.min,u.max],l.colormap=a(t),this.mesh.update(l)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new u(t,a,e.uid);return 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{ + url: o + } : o || {}; + fingerprint = this._fingerprint(o); + this.cancelled = false; + this.lastReq = fingerprint; + if (resp = this._cache.get(fingerprint)) { + cb(null, resp); + } else { + this._get(o, cb); + } + }, + cancel: function() { + this.cancelled = true; + } + }); + return Transport; + }(); + var SearchIndex = window.SearchIndex = function() { + "use strict"; + var CHILDREN = "c", IDS = "i"; + function SearchIndex(o) { + o = o || {}; + if (!o.datumTokenizer || !o.queryTokenizer) { + $.error("datumTokenizer and queryTokenizer are both required"); + } + this.identify = o.identify || _.stringify; + this.datumTokenizer = o.datumTokenizer; + this.queryTokenizer = o.queryTokenizer; + this.reset(); + } + _.mixin(SearchIndex.prototype, { + bootstrap: function bootstrap(o) { + this.datums = o.datums; + this.trie = o.trie; + }, + add: function(data) { + var that = this; + data = _.isArray(data) ? data : [ data ]; + _.each(data, function(datum) { + var id, tokens; + that.datums[id = that.identify(datum)] = datum; + tokens = normalizeTokens(that.datumTokenizer(datum)); + _.each(tokens, function(token) { + var node, chars, ch; + node = that.trie; + chars = token.split(""); + while (ch = chars.shift()) { + node = node[CHILDREN][ch] || (node[CHILDREN][ch] = newNode()); + node[IDS].push(id); + } + }); + }); + }, + get: function get(ids) { + var that = this; + return _.map(ids, function(id) { + return that.datums[id]; + }); + }, + search: function search(query) { + var that = this, tokens, matches; + tokens = normalizeTokens(this.queryTokenizer(query)); + _.each(tokens, function(token) { + var node, chars, ch, ids; + if (matches && matches.length === 0) { + return false; + } + node = that.trie; + chars = token.split(""); + while (node && (ch = chars.shift())) { + node = node[CHILDREN][ch]; + } + if (node && chars.length === 0) { + ids = node[IDS].slice(0); + matches = matches ? getIntersection(matches, ids) : ids; + } else { + matches = []; + return false; + } + }); + return matches ? _.map(unique(matches), function(id) { + return that.datums[id]; + }) : []; + }, + all: function all() { + var values = []; + for (var key in this.datums) { + values.push(this.datums[key]); + } + return values; + }, + reset: function reset() { + this.datums = {}; + this.trie = newNode(); + }, + serialize: function serialize() { + return { + datums: this.datums, + trie: this.trie + }; + } + }); + return SearchIndex; + function normalizeTokens(tokens) { + tokens = _.filter(tokens, function(token) { + return !!token; + }); + tokens = _.map(tokens, function(token) { + return token.toLowerCase(); + }); + return tokens; + } + function newNode() { + var node = {}; + node[IDS] = []; + node[CHILDREN] = {}; + return node; + } + function unique(array) { + var seen = {}, uniques = []; + for (var i = 0, len = array.length; i < len; i++) { + if (!seen[array[i]]) { + seen[array[i]] = true; + uniques.push(array[i]); + } + } + return uniques; + } + function getIntersection(arrayA, arrayB) { + var ai = 0, bi = 0, intersection = []; + arrayA = arrayA.sort(); + arrayB = arrayB.sort(); + var lenArrayA = arrayA.length, lenArrayB = arrayB.length; + while (ai < lenArrayA && bi < lenArrayB) { + if (arrayA[ai] < arrayB[bi]) { + ai++; + } else if (arrayA[ai] > arrayB[bi]) { + bi++; + } else { + intersection.push(arrayA[ai]); + ai++; + bi++; + } + } + return intersection; + } + }(); + var Prefetch = function() { + "use strict"; + var keys; + keys = { + data: "data", + protocol: "protocol", + thumbprint: "thumbprint" + }; + function Prefetch(o) { + this.url = o.url; + this.ttl = o.ttl; + this.cache = o.cache; + this.prepare = o.prepare; + this.transform = o.transform; + this.transport = o.transport; + this.thumbprint = o.thumbprint; + this.storage = new PersistentStorage(o.cacheKey); + } + _.mixin(Prefetch.prototype, { + _settings: function settings() { + return { + url: this.url, + type: "GET", + dataType: "json" + }; + }, + store: function store(data) { + if (!this.cache) { + return; + } + this.storage.set(keys.data, data, this.ttl); + this.storage.set(keys.protocol, location.protocol, this.ttl); + this.storage.set(keys.thumbprint, this.thumbprint, this.ttl); + }, + fromCache: function fromCache() { + var stored = {}, isExpired; + if (!this.cache) { + return null; + } + stored.data = this.storage.get(keys.data); + stored.protocol = this.storage.get(keys.protocol); + stored.thumbprint = this.storage.get(keys.thumbprint); + isExpired = stored.thumbprint !== this.thumbprint || stored.protocol !== location.protocol; + return stored.data && !isExpired ? stored.data : null; + }, + fromNetwork: function(cb) { + var that = this, settings; + if (!cb) { + return; + } + settings = this.prepare(this._settings()); + this.transport(settings).fail(onError).done(onResponse); + function onError() { + cb(true); + } + function onResponse(resp) { + cb(null, that.transform(resp)); + } + }, + clear: function clear() { + this.storage.clear(); + return this; + } + }); + return Prefetch; + }(); + var Remote = function() { + "use strict"; + function Remote(o) { + this.url = o.url; + this.prepare = o.prepare; + this.transform = o.transform; + this.transport = new Transport({ + cache: o.cache, + limiter: o.limiter, + transport: o.transport + }); + } + _.mixin(Remote.prototype, { + _settings: function settings() { + return { + url: this.url, + type: "GET", + dataType: "json" + }; + }, + get: function get(query, cb) { + var that = this, settings; + if (!cb) { + return; + } + query = query || ""; + settings = this.prepare(query, this._settings()); + return this.transport.get(settings, onResponse); + function onResponse(err, resp) { + err ? cb([]) : cb(that.transform(resp)); + } + }, + cancelLastRequest: function cancelLastRequest() { + this.transport.cancel(); + } + }); + return Remote; + }(); + var oParser = function() { + "use strict"; + return function parse(o) { + var defaults, sorter; + defaults = { + initialize: true, + identify: _.stringify, + datumTokenizer: null, + queryTokenizer: null, + sufficient: 5, + sorter: null, + local: [], + prefetch: null, + remote: null + }; + o = _.mixin(defaults, o || {}); + !o.datumTokenizer && $.error("datumTokenizer is required"); + !o.queryTokenizer && $.error("queryTokenizer is required"); + sorter = o.sorter; + o.sorter = sorter ? function(x) { + return x.sort(sorter); + } : _.identity; + o.local = _.isFunction(o.local) ? o.local() : o.local; + o.prefetch = parsePrefetch(o.prefetch); + o.remote = parseRemote(o.remote); + return o; + }; + function parsePrefetch(o) { + var defaults; + if (!o) { + return null; + } + defaults = { + url: null, + ttl: 24 * 60 * 60 * 1e3, + cache: true, + cacheKey: null, + thumbprint: "", + prepare: _.identity, + transform: _.identity, + transport: null + }; + o = _.isString(o) ? { + url: o + } : o; + o = _.mixin(defaults, o); + !o.url && $.error("prefetch requires url to be set"); + o.transform = o.filter || o.transform; + o.cacheKey = o.cacheKey || o.url; + o.thumbprint = VERSION + o.thumbprint; + o.transport = o.transport ? callbackToDeferred(o.transport) : $.ajax; + return o; + } + function parseRemote(o) { + var defaults; + if (!o) { + return; + } + defaults = { + url: null, + cache: true, + prepare: null, + replace: null, + wildcard: null, + limiter: null, + rateLimitBy: "debounce", + rateLimitWait: 300, + transform: _.identity, + transport: null + }; + o = _.isString(o) ? { + url: o + } : o; + o = _.mixin(defaults, o); + !o.url && $.error("remote requires url to be set"); + o.transform = o.filter || o.transform; + o.prepare = toRemotePrepare(o); + o.limiter = toLimiter(o); + o.transport = o.transport ? callbackToDeferred(o.transport) : $.ajax; + delete o.replace; + delete o.wildcard; + delete o.rateLimitBy; + delete o.rateLimitWait; + return o; + } + function toRemotePrepare(o) { + var prepare, replace, wildcard; + prepare = o.prepare; + replace = o.replace; + wildcard = o.wildcard; + if (prepare) { + return prepare; + } + if (replace) { + prepare = prepareByReplace; + } else if (o.wildcard) { + prepare = prepareByWildcard; + } else { + prepare = idenityPrepare; + } + return prepare; + function prepareByReplace(query, settings) { + settings.url = replace(settings.url, query); + return settings; + } + function prepareByWildcard(query, settings) { + settings.url = settings.url.replace(wildcard, encodeURIComponent(query)); + return settings; + } + function idenityPrepare(query, settings) { + return settings; + } + } + function toLimiter(o) { + var limiter, method, wait; + limiter = o.limiter; + method = o.rateLimitBy; + wait = o.rateLimitWait; + if (!limiter) { + limiter = /^throttle$/i.test(method) ? throttle(wait) : debounce(wait); + } + return limiter; + function debounce(wait) { + return function debounce(fn) { + return _.debounce(fn, wait); + }; + } + function throttle(wait) { + return function throttle(fn) { + return _.throttle(fn, wait); + }; + } + } + function callbackToDeferred(fn) { + return function wrapper(o) { + var deferred = $.Deferred(); + fn(o, onSuccess, onError); + return deferred; + function onSuccess(resp) { + _.defer(function() { + deferred.resolve(resp); + }); + } + function onError(err) { + _.defer(function() { + deferred.reject(err); + }); + } + }; + } + }(); + var Bloodhound = function() { + "use strict"; + var old; + old = window && window.Bloodhound; + function Bloodhound(o) { + o = oParser(o); + this.sorter = o.sorter; + this.identify = o.identify; + this.sufficient = o.sufficient; + this.local = o.local; + this.remote = o.remote ? new Remote(o.remote) : null; + this.prefetch = o.prefetch ? new Prefetch(o.prefetch) : null; + this.index = new SearchIndex({ + identify: this.identify, + datumTokenizer: o.datumTokenizer, + queryTokenizer: o.queryTokenizer + }); + o.initialize !== false && this.initialize(); + } + Bloodhound.noConflict = function noConflict() { + window && (window.Bloodhound = old); + return Bloodhound; + }; + Bloodhound.tokenizers = tokenizers; + _.mixin(Bloodhound.prototype, { + __ttAdapter: function ttAdapter() { + var that = this; + return this.remote ? withAsync : withoutAsync; + function withAsync(query, sync, async) { + return that.search(query, sync, async); + } + function withoutAsync(query, sync) { + return that.search(query, sync); + } + }, + _loadPrefetch: function loadPrefetch() { + var that = this, deferred, serialized; + deferred = $.Deferred(); + if (!this.prefetch) { + deferred.resolve(); + } else if (serialized = this.prefetch.fromCache()) { + this.index.bootstrap(serialized); + deferred.resolve(); + } else { + this.prefetch.fromNetwork(done); + } + return deferred.promise(); + function done(err, data) { + if (err) { + return deferred.reject(); + } + that.add(data); + that.prefetch.store(that.index.serialize()); + deferred.resolve(); + } + }, + _initialize: function initialize() { + var that = this, deferred; + this.clear(); + (this.initPromise = this._loadPrefetch()).done(addLocalToIndex); + return this.initPromise; + function addLocalToIndex() { + that.add(that.local); + } + }, + initialize: function initialize(force) { + return !this.initPromise || force ? this._initialize() : this.initPromise; + }, + add: function add(data) { + this.index.add(data); + return this; + }, + get: function get(ids) { + ids = _.isArray(ids) ? ids : [].slice.call(arguments); + return this.index.get(ids); + }, + search: function search(query, sync, async) { + var that = this, local; + local = this.sorter(this.index.search(query)); + sync(this.remote ? local.slice() : local); + if (this.remote && local.length < this.sufficient) { + this.remote.get(query, processRemote); + } else if (this.remote) { + this.remote.cancelLastRequest(); + } + return this; + function processRemote(remote) { + var nonDuplicates = []; + _.each(remote, function(r) { + !_.some(local, function(l) { + return that.identify(r) === that.identify(l); + }) && nonDuplicates.push(r); + }); + async && async(nonDuplicates); + } + }, + all: function all() { + return this.index.all(); + }, + clear: function clear() { + this.index.reset(); + return this; + }, + clearPrefetchCache: function clearPrefetchCache() { + this.prefetch && this.prefetch.clear(); + return this; + }, + clearRemoteCache: function clearRemoteCache() { + Transport.resetCache(); + return this; + }, + ttAdapter: function ttAdapter() { + return this.__ttAdapter(); + } + }); + return Bloodhound; + }(); + return Bloodhound; +}); + +(function(root, factory) { + if (typeof define === "function" && define.amd) { + define("typeahead.js", [ "jquery" ], function(a0) { + return factory(a0); + }); + } else if (typeof exports === "object") { + module.exports = factory(require("jquery")); + } else { + factory(jQuery); + } +})(this, function($) { + var _ = function() { + "use strict"; + return { + isMsie: function() { + return /(msie|trident)/i.test(navigator.userAgent) ? navigator.userAgent.match(/(msie |rv:)(\d+(.\d+)?)/i)[2] : false; + }, + isBlankString: function(str) { + return !str || /^\s*$/.test(str); + }, + escapeRegExChars: function(str) { + return str.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g, "\\$&"); + }, + isString: function(obj) { + return typeof obj === "string"; + }, + isNumber: function(obj) { + return typeof obj === "number"; + }, + isArray: $.isArray, + isFunction: $.isFunction, + isObject: $.isPlainObject, + isUndefined: function(obj) { + return typeof obj === "undefined"; + }, + isElement: function(obj) { + return !!(obj && obj.nodeType === 1); + }, + isJQuery: function(obj) { + return obj instanceof $; + }, + toStr: function toStr(s) { + return _.isUndefined(s) || s === null ? "" : s + ""; + }, + bind: $.proxy, + each: function(collection, cb) { + $.each(collection, reverseArgs); + function reverseArgs(index, value) { + return cb(value, index); + } + }, + map: $.map, + filter: $.grep, + every: function(obj, test) { + var result = true; + if (!obj) { + return result; + } + $.each(obj, function(key, val) { + if (!(result = test.call(null, val, key, obj))) { + return false; + } + }); + return !!result; + }, + some: function(obj, test) { + var result = false; + if (!obj) { + return result; + } + $.each(obj, function(key, val) { + if (result = test.call(null, val, key, obj)) { + return false; + } + }); + return !!result; + }, + mixin: $.extend, + identity: function(x) { + return x; + }, + clone: function(obj) { + return $.extend(true, {}, obj); + }, + getIdGenerator: function() { + var counter = 0; + return function() { + return counter++; + }; + }, + templatify: function templatify(obj) { + return $.isFunction(obj) ? obj : template; + function template() { + return String(obj); + } + }, + defer: function(fn) { + setTimeout(fn, 0); + }, + debounce: function(func, wait, immediate) { + var timeout, result; + return function() { + var context = this, args = arguments, later, callNow; + later = function() { + timeout = null; + if (!immediate) { + result = func.apply(context, args); + } + }; + callNow = immediate && !timeout; + clearTimeout(timeout); + timeout = setTimeout(later, wait); + if (callNow) { + result = func.apply(context, args); + } + return result; + }; + }, + throttle: function(func, wait) { + var context, args, timeout, result, previous, later; + previous = 0; + later = function() { + previous = new Date(); + timeout = null; + result = func.apply(context, args); + }; + return function() { + var now = new Date(), remaining = wait - (now - previous); + context = this; + args = arguments; + if (remaining <= 0) { + clearTimeout(timeout); + timeout = null; + previous = now; + result = func.apply(context, args); + } else if (!timeout) { + timeout = setTimeout(later, remaining); + } + return result; + }; + }, + stringify: function(val) { + return _.isString(val) ? val : JSON.stringify(val); + }, + noop: function() {} + }; + }(); + var WWW = function() { + "use strict"; + var defaultClassNames = { + wrapper: "twitter-typeahead", + input: "tt-input", + hint: "tt-hint", + menu: "tt-menu", + dataset: "tt-dataset", + suggestion: "tt-suggestion", + selectable: "tt-selectable", + empty: "tt-empty", + open: "tt-open", + cursor: "tt-cursor", + highlight: "tt-highlight" + }; + return build; + function build(o) { + var www, classes; + classes = _.mixin({}, defaultClassNames, o); + www = { + css: buildCss(), + classes: classes, + html: buildHtml(classes), + selectors: buildSelectors(classes) + }; + return { + css: www.css, + html: www.html, + classes: www.classes, + selectors: www.selectors, + mixin: function(o) { + _.mixin(o, www); + } + }; + } + function buildHtml(c) { + return { + wrapper: '<span class="' + c.wrapper + '"></span>', + menu: '<div class="' + c.menu + '"></div>' + }; + } + function buildSelectors(classes) { + var selectors = {}; + _.each(classes, function(v, k) { + selectors[k] = "." + v; + }); + return selectors; + } + function buildCss() { + var css = { + wrapper: { + position: "relative", + display: "inline-block" + }, + hint: { + position: "absolute", + top: "0", + left: "0", + borderColor: "transparent", + boxShadow: "none", + opacity: "1" + }, + input: { + position: "relative", + verticalAlign: "top", + backgroundColor: "transparent" + }, + inputWithNoHint: { + position: "relative", + verticalAlign: "top" + }, + menu: { + position: "absolute", + top: "100%", + left: "0", + zIndex: "100", + display: "none" + }, + ltr: { + left: "0", + right: "auto" + }, + rtl: { + left: "auto", + right: " 0" + } + }; + if (_.isMsie()) { + _.mixin(css.input, { + backgroundImage: "url(data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)" + }); + } + return css; + } + }(); + var EventBus = function() { + "use strict"; + var namespace, deprecationMap; + namespace = "typeahead:"; + deprecationMap = { + render: "rendered", + cursorchange: "cursorchanged", + select: "selected", + autocomplete: "autocompleted" + }; + function EventBus(o) { + if (!o || !o.el) { + $.error("EventBus initialized without el"); + } + this.$el = $(o.el); + } + _.mixin(EventBus.prototype, { + _trigger: function(type, args) { + var $e; + $e = $.Event(namespace + type); + (args = args || []).unshift($e); + this.$el.trigger.apply(this.$el, args); + return $e; + }, + before: function(type) { + var args, $e; + args = [].slice.call(arguments, 1); + $e = this._trigger("before" + type, args); + return $e.isDefaultPrevented(); + }, + trigger: function(type) { + var deprecatedType; + this._trigger(type, [].slice.call(arguments, 1)); + if (deprecatedType = deprecationMap[type]) { + this._trigger(deprecatedType, [].slice.call(arguments, 1)); + } + } + }); + return EventBus; + }(); + var EventEmitter = function() { + "use strict"; + var splitter = /\s+/, nextTick = getNextTick(); + return { + onSync: onSync, + onAsync: onAsync, + off: off, + trigger: trigger + }; + function on(method, types, cb, context) { + var type; + if (!cb) { + return this; + } + types = types.split(splitter); + cb = context ? bindContext(cb, context) : cb; + this._callbacks = this._callbacks || {}; + while (type = types.shift()) { + this._callbacks[type] = this._callbacks[type] || { + sync: [], + async: [] + }; + this._callbacks[type][method].push(cb); + } + return this; + } + function onAsync(types, cb, context) { + return on.call(this, "async", types, cb, context); + } + function onSync(types, cb, context) { + return on.call(this, "sync", types, cb, context); + } + function off(types) { + var type; + if (!this._callbacks) { + return this; + } + types = types.split(splitter); + while (type = types.shift()) { + delete this._callbacks[type]; + } + return this; + } + function trigger(types) { + var type, callbacks, args, syncFlush, asyncFlush; + if (!this._callbacks) { + return this; + } + types = types.split(splitter); + args = [].slice.call(arguments, 1); + while ((type = types.shift()) && (callbacks = this._callbacks[type])) { + syncFlush = getFlush(callbacks.sync, this, [ type ].concat(args)); + asyncFlush = getFlush(callbacks.async, this, [ type ].concat(args)); + syncFlush() && nextTick(asyncFlush); + } + return this; + } + function getFlush(callbacks, context, args) { + return flush; + function flush() { + var cancelled; + for (var i = 0, len = callbacks.length; !cancelled && i < len; i += 1) { + cancelled = callbacks[i].apply(context, args) === false; + } + return !cancelled; + } + } + function getNextTick() { + var nextTickFn; + if (window.setImmediate) { + nextTickFn = function nextTickSetImmediate(fn) { + setImmediate(function() { + fn(); + }); + }; + } else { + nextTickFn = function nextTickSetTimeout(fn) { + setTimeout(function() { + fn(); + }, 0); + }; + } + return nextTickFn; + } + function bindContext(fn, context) { + return fn.bind ? fn.bind(context) : function() { + fn.apply(context, [].slice.call(arguments, 0)); + }; + } + }(); + var highlight = function(doc) { + "use strict"; + var defaults = { + node: null, + pattern: null, + tagName: "strong", + className: null, + wordsOnly: false, + caseSensitive: false + }; + return function hightlight(o) { + var regex; + o = _.mixin({}, defaults, o); + if (!o.node || !o.pattern) { + return; + } + o.pattern = _.isArray(o.pattern) ? o.pattern : [ o.pattern ]; + regex = getRegex(o.pattern, o.caseSensitive, o.wordsOnly); + traverse(o.node, hightlightTextNode); + function hightlightTextNode(textNode) { + var match, patternNode, wrapperNode; + if (match = regex.exec(textNode.data)) { + wrapperNode = doc.createElement(o.tagName); + o.className && (wrapperNode.className = o.className); + patternNode = textNode.splitText(match.index); + patternNode.splitText(match[0].length); + wrapperNode.appendChild(patternNode.cloneNode(true)); + textNode.parentNode.replaceChild(wrapperNode, patternNode); + } + return !!match; + } + function traverse(el, hightlightTextNode) { + var childNode, TEXT_NODE_TYPE = 3; + for (var i = 0; i < el.childNodes.length; i++) { + childNode = el.childNodes[i]; + if (childNode.nodeType === TEXT_NODE_TYPE) { + i += hightlightTextNode(childNode) ? 1 : 0; + } else { + traverse(childNode, hightlightTextNode); + } + } + } + }; + function getRegex(patterns, caseSensitive, wordsOnly) { + var escapedPatterns = [], regexStr; + for (var i = 0, len = patterns.length; i < len; i++) { + escapedPatterns.push(_.escapeRegExChars(patterns[i])); + } + regexStr = wordsOnly ? "\\b(" + escapedPatterns.join("|") + ")\\b" : "(" + escapedPatterns.join("|") + ")"; + return caseSensitive ? new RegExp(regexStr) : new RegExp(regexStr, "i"); + } + }(window.document); + var Input = function() { + "use strict"; + var specialKeyCodeMap; + specialKeyCodeMap = { + 9: "tab", + 27: "esc", + 37: "left", + 39: "right", + 13: "enter", + 38: "up", + 40: "down" + }; + function Input(o, www) { + o = o || {}; + if (!o.input) { + $.error("input is missing"); + } + www.mixin(this); + this.$hint = $(o.hint); + this.$input = $(o.input); + this.query = this.$input.val(); + this.queryWhenFocused = this.hasFocus() ? this.query : null; + this.$overflowHelper = buildOverflowHelper(this.$input); + this._checkLanguageDirection(); + if (this.$hint.length === 0) { + this.setHint = this.getHint = this.clearHint = this.clearHintIfInvalid = _.noop; + } + } + Input.normalizeQuery = function(str) { + return _.toStr(str).replace(/^\s*/g, "").replace(/\s{2,}/g, " "); + }; + _.mixin(Input.prototype, EventEmitter, { + _onBlur: function onBlur() { + this.resetInputValue(); + this.trigger("blurred"); + }, + _onFocus: function onFocus() { + this.queryWhenFocused = this.query; + this.trigger("focused"); + }, + _onKeydown: function onKeydown($e) { + var keyName = specialKeyCodeMap[$e.which || $e.keyCode]; + this._managePreventDefault(keyName, $e); + if (keyName && this._shouldTrigger(keyName, $e)) { + this.trigger(keyName + "Keyed", $e); + } + }, + _onInput: function onInput() { + this._setQuery(this.getInputValue()); + this.clearHintIfInvalid(); + this._checkLanguageDirection(); + }, + _managePreventDefault: function managePreventDefault(keyName, $e) { + var preventDefault; + switch (keyName) { + case "up": + case "down": + preventDefault = !withModifier($e); + break; + + default: + preventDefault = false; + } + preventDefault && $e.preventDefault(); + }, + _shouldTrigger: function shouldTrigger(keyName, $e) { + var trigger; + switch (keyName) { + case "tab": + trigger = !withModifier($e); + break; + + default: + trigger = true; + } + return trigger; + }, + _checkLanguageDirection: function checkLanguageDirection() { + var dir = (this.$input.css("direction") || "ltr").toLowerCase(); + if (this.dir !== dir) { + this.dir = dir; + this.$hint.attr("dir", dir); + this.trigger("langDirChanged", dir); + } + }, + _setQuery: function setQuery(val, silent) { + var areEquivalent, hasDifferentWhitespace; + areEquivalent = areQueriesEquivalent(val, this.query); + hasDifferentWhitespace = areEquivalent ? this.query.length !== val.length : false; + this.query = val; + if (!silent && !areEquivalent) { + this.trigger("queryChanged", this.query); + } else if (!silent && hasDifferentWhitespace) { + this.trigger("whitespaceChanged", this.query); + } + }, + bind: function() { + var that = this, onBlur, onFocus, onKeydown, onInput; + onBlur = _.bind(this._onBlur, this); + onFocus = _.bind(this._onFocus, this); + onKeydown = _.bind(this._onKeydown, this); + onInput = _.bind(this._onInput, this); + this.$input.on("blur.tt", onBlur).on("focus.tt", onFocus).on("keydown.tt", onKeydown); + if (!_.isMsie() || _.isMsie() > 9) { + this.$input.on("input.tt", onInput); + } else { + this.$input.on("keydown.tt keypress.tt cut.tt paste.tt", function($e) { + if (specialKeyCodeMap[$e.which || $e.keyCode]) { + return; + } + _.defer(_.bind(that._onInput, that, $e)); + }); + } + return this; + }, + focus: function focus() { + this.$input.focus(); + }, + blur: function blur() { + this.$input.blur(); + }, + getLangDir: function getLangDir() { + return this.dir; + }, + getQuery: function getQuery() { + return this.query || ""; + }, + setQuery: function setQuery(val, silent) { + this.setInputValue(val); + this._setQuery(val, silent); + }, + hasQueryChangedSinceLastFocus: function hasQueryChangedSinceLastFocus() { + return this.query !== this.queryWhenFocused; + }, + getInputValue: function getInputValue() { + return this.$input.val(); + }, + setInputValue: function setInputValue(value) { + this.$input.val(value); + this.clearHintIfInvalid(); + this._checkLanguageDirection(); + }, + resetInputValue: function resetInputValue() { + this.setInputValue(this.query); + }, + getHint: function getHint() { + return this.$hint.val(); + }, + setHint: function setHint(value) { + this.$hint.val(value); + }, + clearHint: function clearHint() { + this.setHint(""); + }, + clearHintIfInvalid: function clearHintIfInvalid() { + var val, hint, valIsPrefixOfHint, isValid; + val = this.getInputValue(); + hint = this.getHint(); + valIsPrefixOfHint = val !== hint && hint.indexOf(val) === 0; + isValid = val !== "" && valIsPrefixOfHint && !this.hasOverflow(); + !isValid && this.clearHint(); + }, + hasFocus: function hasFocus() { + return this.$input.is(":focus"); + }, + hasOverflow: function hasOverflow() { + var constraint = this.$input.width() - 2; + this.$overflowHelper.text(this.getInputValue()); + return this.$overflowHelper.width() >= constraint; + }, + isCursorAtEnd: function() { + var valueLength, selectionStart, range; + valueLength = this.$input.val().length; + selectionStart = this.$input[0].selectionStart; + if (_.isNumber(selectionStart)) { + return selectionStart === valueLength; + } else if (document.selection) { + range = document.selection.createRange(); + range.moveStart("character", -valueLength); + return valueLength === range.text.length; + } + return true; + }, + destroy: function destroy() { + this.$hint.off(".tt"); + this.$input.off(".tt"); + this.$overflowHelper.remove(); + this.$hint = this.$input = this.$overflowHelper = $("<div>"); + } + }); + return Input; + function buildOverflowHelper($input) { + return $('<pre aria-hidden="true"></pre>').css({ + position: "absolute", + visibility: "hidden", + whiteSpace: "pre", + fontFamily: $input.css("font-family"), + fontSize: $input.css("font-size"), + fontStyle: $input.css("font-style"), + fontVariant: $input.css("font-variant"), + fontWeight: $input.css("font-weight"), + wordSpacing: $input.css("word-spacing"), + letterSpacing: $input.css("letter-spacing"), + textIndent: $input.css("text-indent"), + textRendering: $input.css("text-rendering"), + textTransform: $input.css("text-transform") + }).insertAfter($input); + } + function areQueriesEquivalent(a, b) { + return Input.normalizeQuery(a) === Input.normalizeQuery(b); + } + function withModifier($e) { + return $e.altKey || $e.ctrlKey || $e.metaKey || $e.shiftKey; + } + }(); + var Dataset = function() { + "use strict"; + var keys, nameGenerator; + keys = { + val: "tt-selectable-display", + obj: "tt-selectable-object" + }; + nameGenerator = _.getIdGenerator(); + function Dataset(o, www) { + o = o || {}; + o.templates = o.templates || {}; + o.templates.notFound = o.templates.notFound || o.templates.empty; + if (!o.source) { + $.error("missing source"); + } + if (!o.node) { + $.error("missing node"); + } + if (o.name && !isValidName(o.name)) { + $.error("invalid dataset name: " + o.name); + } + www.mixin(this); + this.highlight = !!o.highlight; + this.name = o.name || nameGenerator(); + this.limit = o.limit || 5; + this.displayFn = getDisplayFn(o.display || o.displayKey); + this.templates = getTemplates(o.templates, this.displayFn); + this.source = o.source.__ttAdapter ? o.source.__ttAdapter() : o.source; + this.async = _.isUndefined(o.async) ? this.source.length > 2 : !!o.async; + this._resetLastSuggestion(); + this.$el = $(o.node).addClass(this.classes.dataset).addClass(this.classes.dataset + "-" + this.name); + } + Dataset.extractData = function extractData(el) { + var $el = $(el); + if ($el.data(keys.obj)) { + return { + val: $el.data(keys.val) || "", + obj: $el.data(keys.obj) || null + }; + } + return null; + }; + _.mixin(Dataset.prototype, EventEmitter, { + _overwrite: function overwrite(query, suggestions) { + suggestions = suggestions || []; + if (suggestions.length) { + this._renderSuggestions(query, suggestions); + } else if (this.async && this.templates.pending) { + this._renderPending(query); + } else if (!this.async && this.templates.notFound) { + this._renderNotFound(query); + } else { + this._empty(); + } + this.trigger("rendered", this.name, suggestions, false); + }, + _append: function append(query, suggestions) { + suggestions = suggestions || []; + if (suggestions.length && this.$lastSuggestion.length) { + this._appendSuggestions(query, suggestions); + } else if (suggestions.length) { + this._renderSuggestions(query, suggestions); + } else if (!this.$lastSuggestion.length && this.templates.notFound) { + this._renderNotFound(query); + } + this.trigger("rendered", this.name, suggestions, true); + }, + _renderSuggestions: function renderSuggestions(query, suggestions) { + var $fragment; + $fragment = this._getSuggestionsFragment(query, suggestions); + this.$lastSuggestion = $fragment.children().last(); + this.$el.html($fragment).prepend(this._getHeader(query, suggestions)).append(this._getFooter(query, suggestions)); + }, + _appendSuggestions: function appendSuggestions(query, suggestions) { + var $fragment, $lastSuggestion; + $fragment = this._getSuggestionsFragment(query, suggestions); + $lastSuggestion = $fragment.children().last(); + this.$lastSuggestion.after($fragment); + this.$lastSuggestion = $lastSuggestion; + }, + _renderPending: function renderPending(query) { + var template = this.templates.pending; + this._resetLastSuggestion(); + template && this.$el.html(template({ + query: query, + dataset: this.name + })); + }, + _renderNotFound: function renderNotFound(query) { + var template = this.templates.notFound; + this._resetLastSuggestion(); + template && this.$el.html(template({ + query: query, + dataset: this.name + })); + }, + _empty: function empty() { + this.$el.empty(); + this._resetLastSuggestion(); + }, + _getSuggestionsFragment: function getSuggestionsFragment(query, suggestions) { + var that = this, fragment; + fragment = document.createDocumentFragment(); + _.each(suggestions, function getSuggestionNode(suggestion) { + var $el, context; + context = that._injectQuery(query, suggestion); + $el = $(that.templates.suggestion(context)).data(keys.obj, suggestion).data(keys.val, that.displayFn(suggestion)).addClass(that.classes.suggestion + " " + that.classes.selectable); + fragment.appendChild($el[0]); + }); + this.highlight && highlight({ + className: this.classes.highlight, + node: fragment, + pattern: query + }); + return $(fragment); + }, + _getFooter: function getFooter(query, suggestions) { + return this.templates.footer ? this.templates.footer({ + query: query, + suggestions: suggestions, + dataset: this.name + }) : null; + }, + _getHeader: function getHeader(query, suggestions) { + return this.templates.header ? this.templates.header({ + query: query, + suggestions: suggestions, + dataset: this.name + }) : null; + }, + _resetLastSuggestion: function resetLastSuggestion() { + this.$lastSuggestion = $(); + }, + _injectQuery: function injectQuery(query, obj) { + return _.isObject(obj) ? _.mixin({ + _query: query + }, obj) : obj; + }, + update: function update(query) { + var that = this, canceled = false, syncCalled = false, rendered = 0; + this.cancel(); + this.cancel = function cancel() { + canceled = true; + that.cancel = $.noop; + that.async && that.trigger("asyncCanceled", query); + }; + this.source(query, sync, async); + !syncCalled && sync([]); + function sync(suggestions) { + if (syncCalled) { + return; + } + syncCalled = true; + suggestions = (suggestions || []).slice(0, that.limit); + rendered = suggestions.length; + that._overwrite(query, suggestions); + if (rendered < that.limit && that.async) { + that.trigger("asyncRequested", query); + } + } + function async(suggestions) { + suggestions = suggestions || []; + if (!canceled && rendered < that.limit) { + that.cancel = $.noop; + rendered += suggestions.length; + that._append(query, suggestions.slice(0, that.limit - rendered)); + that.async && that.trigger("asyncReceived", query); + } + } + }, + cancel: $.noop, + clear: function clear() { + this._empty(); + this.cancel(); + this.trigger("cleared"); + }, + isEmpty: function isEmpty() { + return this.$el.is(":empty"); + }, + destroy: function destroy() { + this.$el = $("<div>"); + } + }); + return Dataset; + function getDisplayFn(display) { + display = display || _.stringify; + return _.isFunction(display) ? display : displayFn; + function displayFn(obj) { + return obj[display]; + } + } + function getTemplates(templates, displayFn) { + return { + notFound: templates.notFound && _.templatify(templates.notFound), + pending: templates.pending && _.templatify(templates.pending), + header: templates.header && _.templatify(templates.header), + footer: templates.footer && _.templatify(templates.footer), + suggestion: templates.suggestion || suggestionTemplate + }; + function suggestionTemplate(context) { + return $("<div>").text(displayFn(context)); + } + } + function isValidName(str) { + return /^[_a-zA-Z0-9-]+$/.test(str); + } + }(); + var Menu = function() { + "use strict"; + function Menu(o, www) { + var that = this; + o = o || {}; + if (!o.node) { + $.error("node is required"); + } + www.mixin(this); + this.$node = $(o.node); + this.query = null; + this.datasets = _.map(o.datasets, initializeDataset); + function initializeDataset(oDataset) { + var node = that.$node.find(oDataset.node).first(); + oDataset.node = node.length ? node : $("<div>").appendTo(that.$node); + return new Dataset(oDataset, www); + } + } + _.mixin(Menu.prototype, EventEmitter, { + _onSelectableClick: function onSelectableClick($e) { + this.trigger("selectableClicked", $($e.currentTarget)); + }, + _onRendered: function onRendered(type, dataset, suggestions, async) { + this.$node.toggleClass(this.classes.empty, this._allDatasetsEmpty()); + this.trigger("datasetRendered", dataset, suggestions, async); + }, + _onCleared: function onCleared() { + this.$node.toggleClass(this.classes.empty, this._allDatasetsEmpty()); + this.trigger("datasetCleared"); + }, + _propagate: function propagate() { + this.trigger.apply(this, arguments); + }, + _allDatasetsEmpty: function allDatasetsEmpty() { + return _.every(this.datasets, isDatasetEmpty); + function isDatasetEmpty(dataset) { + return dataset.isEmpty(); + } + }, + _getSelectables: function getSelectables() { + return this.$node.find(this.selectors.selectable); + }, + _removeCursor: function _removeCursor() { + var $selectable = this.getActiveSelectable(); + $selectable && $selectable.removeClass(this.classes.cursor); + }, + _ensureVisible: function ensureVisible($el) { + var elTop, elBottom, nodeScrollTop, nodeHeight; + elTop = $el.position().top; + elBottom = elTop + $el.outerHeight(true); + nodeScrollTop = this.$node.scrollTop(); + nodeHeight = this.$node.height() + parseInt(this.$node.css("paddingTop"), 10) + parseInt(this.$node.css("paddingBottom"), 10); + if (elTop < 0) { + this.$node.scrollTop(nodeScrollTop + elTop); + } else if (nodeHeight < elBottom) { + this.$node.scrollTop(nodeScrollTop + (elBottom - nodeHeight)); + } + }, + bind: function() { + var that = this, onSelectableClick; + onSelectableClick = _.bind(this._onSelectableClick, this); + this.$node.on("click.tt", this.selectors.selectable, onSelectableClick); + _.each(this.datasets, function(dataset) { + dataset.onSync("asyncRequested", that._propagate, that).onSync("asyncCanceled", that._propagate, that).onSync("asyncReceived", that._propagate, that).onSync("rendered", that._onRendered, that).onSync("cleared", that._onCleared, that); + }); + return this; + }, + isOpen: function isOpen() { + return this.$node.hasClass(this.classes.open); + }, + open: function open() { + this.$node.addClass(this.classes.open); + }, + close: function close() { + this.$node.removeClass(this.classes.open); + this._removeCursor(); + }, + setLanguageDirection: function setLanguageDirection(dir) { + this.$node.attr("dir", dir); + }, + selectableRelativeToCursor: function selectableRelativeToCursor(delta) { + var $selectables, $oldCursor, oldIndex, newIndex; + $oldCursor = this.getActiveSelectable(); + $selectables = this._getSelectables(); + oldIndex = $oldCursor ? $selectables.index($oldCursor) : -1; + newIndex = oldIndex + delta; + newIndex = (newIndex + 1) % ($selectables.length + 1) - 1; + newIndex = newIndex < -1 ? $selectables.length - 1 : newIndex; + return newIndex === -1 ? null : $selectables.eq(newIndex); + }, + setCursor: function setCursor($selectable) { + this._removeCursor(); + if ($selectable = $selectable && $selectable.first()) { + $selectable.addClass(this.classes.cursor); + this._ensureVisible($selectable); + } + }, + getSelectableData: function getSelectableData($el) { + return $el && $el.length ? Dataset.extractData($el) : null; + }, + getActiveSelectable: function getActiveSelectable() { + var $selectable = this._getSelectables().filter(this.selectors.cursor).first(); + return $selectable.length ? $selectable : null; + }, + getTopSelectable: function getTopSelectable() { + var $selectable = this._getSelectables().first(); + return $selectable.length ? $selectable : null; + }, + update: function update(query) { + var isValidUpdate = query !== this.query; + if (isValidUpdate) { + this.query = query; + _.each(this.datasets, updateDataset); + } + return isValidUpdate; + function updateDataset(dataset) { + dataset.update(query); + } + }, + empty: function empty() { + _.each(this.datasets, clearDataset); + this.query = null; + this.$node.addClass(this.classes.empty); + function clearDataset(dataset) { + dataset.clear(); + } + }, + destroy: function destroy() { + this.$node.off(".tt"); + this.$node = $("<div>"); + _.each(this.datasets, destroyDataset); + function destroyDataset(dataset) { + dataset.destroy(); + } + } + }); + return Menu; + }(); + var DefaultMenu = function() { + "use strict"; + var s = Menu.prototype; + function DefaultMenu() { + Menu.apply(this, [].slice.call(arguments, 0)); + } + _.mixin(DefaultMenu.prototype, Menu.prototype, { + open: function open() { + !this._allDatasetsEmpty() && this._show(); + return s.open.apply(this, [].slice.call(arguments, 0)); + }, + close: function close() { + this._hide(); + return s.close.apply(this, [].slice.call(arguments, 0)); + }, + _onRendered: function onRendered() { + if (this._allDatasetsEmpty()) { + this._hide(); + } else { + this.isOpen() && this._show(); + } + return s._onRendered.apply(this, [].slice.call(arguments, 0)); + }, + _onCleared: function onCleared() { + if (this._allDatasetsEmpty()) { + this._hide(); + } else { + this.isOpen() && this._show(); + } + return s._onCleared.apply(this, [].slice.call(arguments, 0)); + }, + setLanguageDirection: function setLanguageDirection(dir) { + this.$node.css(dir === "ltr" ? this.css.ltr : this.css.rtl); + return s.setLanguageDirection.apply(this, [].slice.call(arguments, 0)); + }, + _hide: function hide() { + this.$node.hide(); + }, + _show: function show() { + this.$node.css("display", "block"); + } + }); + return DefaultMenu; + }(); + var Typeahead = function() { + "use strict"; + function Typeahead(o, www) { + var onFocused, onBlurred, onEnterKeyed, onTabKeyed, onEscKeyed, onUpKeyed, onDownKeyed, onLeftKeyed, onRightKeyed, onQueryChanged, onWhitespaceChanged; + o = o || {}; + if (!o.input) { + $.error("missing input"); + } + if (!o.menu) { + $.error("missing menu"); + } + if (!o.eventBus) { + $.error("missing event bus"); + } + www.mixin(this); + this.eventBus = o.eventBus; + this.minLength = _.isNumber(o.minLength) ? o.minLength : 1; + this.input = o.input; + this.menu = o.menu; + this.enabled = true; + this.active = false; + this.input.hasFocus() && this.activate(); + this.dir = this.input.getLangDir(); + this._hacks(); + this.menu.bind().onSync("selectableClicked", this._onSelectableClicked, this).onSync("asyncRequested", this._onAsyncRequested, this).onSync("asyncCanceled", this._onAsyncCanceled, this).onSync("asyncReceived", this._onAsyncReceived, this).onSync("datasetRendered", this._onDatasetRendered, this).onSync("datasetCleared", this._onDatasetCleared, this); + onFocused = c(this, "activate", "open", "_onFocused"); + onBlurred = c(this, "deactivate", "_onBlurred"); + onEnterKeyed = c(this, "isActive", "isOpen", "_onEnterKeyed"); + onTabKeyed = c(this, "isActive", "isOpen", "_onTabKeyed"); + onEscKeyed = c(this, "isActive", "_onEscKeyed"); + onUpKeyed = c(this, "isActive", "open", "_onUpKeyed"); + onDownKeyed = c(this, "isActive", "open", "_onDownKeyed"); + onLeftKeyed = c(this, "isActive", "isOpen", "_onLeftKeyed"); + onRightKeyed = c(this, "isActive", "isOpen", "_onRightKeyed"); + onQueryChanged = c(this, "_openIfActive", "_onQueryChanged"); + onWhitespaceChanged = c(this, "_openIfActive", "_onWhitespaceChanged"); + this.input.bind().onSync("focused", onFocused, this).onSync("blurred", onBlurred, this).onSync("enterKeyed", onEnterKeyed, this).onSync("tabKeyed", onTabKeyed, this).onSync("escKeyed", onEscKeyed, this).onSync("upKeyed", onUpKeyed, this).onSync("downKeyed", onDownKeyed, this).onSync("leftKeyed", onLeftKeyed, this).onSync("rightKeyed", onRightKeyed, this).onSync("queryChanged", onQueryChanged, this).onSync("whitespaceChanged", onWhitespaceChanged, this).onSync("langDirChanged", this._onLangDirChanged, this); + } + _.mixin(Typeahead.prototype, { + _hacks: function hacks() { + var $input, $menu; + $input = this.input.$input || $("<div>"); + $menu = this.menu.$node || $("<div>"); + $input.on("blur.tt", function($e) { + var active, isActive, hasActive; + active = document.activeElement; + isActive = $menu.is(active); + hasActive = $menu.has(active).length > 0; + if (_.isMsie() && (isActive || hasActive)) { + $e.preventDefault(); + $e.stopImmediatePropagation(); + _.defer(function() { + $input.focus(); + }); + } + }); + $menu.on("mousedown.tt", function($e) { + $e.preventDefault(); + }); + }, + _onSelectableClicked: function onSelectableClicked(type, $el) { + this.select($el); + }, + _onDatasetCleared: function onDatasetCleared() { + this._updateHint(); + }, + _onDatasetRendered: function onDatasetRendered(type, dataset, suggestions, async) { + this._updateHint(); + this.eventBus.trigger("render", suggestions, async, dataset); + }, + _onAsyncRequested: function onAsyncRequested(type, dataset, query) { + this.eventBus.trigger("asyncrequest", query, dataset); + }, + _onAsyncCanceled: function onAsyncCanceled(type, dataset, query) { + this.eventBus.trigger("asynccancel", query, dataset); + }, + _onAsyncReceived: function onAsyncReceived(type, dataset, query) { + this.eventBus.trigger("asyncreceive", query, dataset); + }, + _onFocused: function onFocused() { + this._minLengthMet() && this.menu.update(this.input.getQuery()); + }, + _onBlurred: function onBlurred() { + if (this.input.hasQueryChangedSinceLastFocus()) { + this.eventBus.trigger("change", this.input.getQuery()); + } + }, + _onEnterKeyed: function onEnterKeyed(type, $e) { + var $selectable; + if ($selectable = this.menu.getActiveSelectable()) { + this.select($selectable) && $e.preventDefault(); + } + }, + _onTabKeyed: function onTabKeyed(type, $e) { + var $selectable; + if ($selectable = this.menu.getActiveSelectable()) { + this.select($selectable) && $e.preventDefault(); + } else if ($selectable = this.menu.getTopSelectable()) { + this.autocomplete($selectable) && $e.preventDefault(); + } + }, + _onEscKeyed: function onEscKeyed() { + this.close(); + }, + _onUpKeyed: function onUpKeyed() { + this.moveCursor(-1); + }, + _onDownKeyed: function onDownKeyed() { + this.moveCursor(+1); + }, + _onLeftKeyed: function onLeftKeyed() { + if (this.dir === "rtl" && this.input.isCursorAtEnd()) { + this.autocomplete(this.menu.getTopSelectable()); + } + }, + _onRightKeyed: function onRightKeyed() { + if (this.dir === "ltr" && this.input.isCursorAtEnd()) { + this.autocomplete(this.menu.getTopSelectable()); + } + }, + _onQueryChanged: function onQueryChanged(e, query) { + this._minLengthMet(query) ? this.menu.update(query) : this.menu.empty(); + }, + _onWhitespaceChanged: function onWhitespaceChanged() { + this._updateHint(); + }, + _onLangDirChanged: function onLangDirChanged(e, dir) { + if (this.dir !== dir) { + this.dir = dir; + this.menu.setLanguageDirection(dir); + } + }, + _openIfActive: function openIfActive() { + this.isActive() && this.open(); + }, + _minLengthMet: function minLengthMet(query) { + query = _.isString(query) ? query : this.input.getQuery() || ""; + return query.length >= this.minLength; + }, + _updateHint: function updateHint() { + var $selectable, data, val, query, escapedQuery, frontMatchRegEx, match; + $selectable = this.menu.getTopSelectable(); + data = this.menu.getSelectableData($selectable); + val = this.input.getInputValue(); + if (data && !_.isBlankString(val) && !this.input.hasOverflow()) { + query = Input.normalizeQuery(val); + escapedQuery = _.escapeRegExChars(query); + frontMatchRegEx = new RegExp("^(?:" + escapedQuery + ")(.+$)", "i"); + match = frontMatchRegEx.exec(data.val); + match && this.input.setHint(val + match[1]); + } else { + this.input.clearHint(); + } + }, + isEnabled: function isEnabled() { + return this.enabled; + }, + enable: function enable() { + this.enabled = true; + }, + disable: function disable() { + this.enabled = false; + }, + isActive: function isActive() { + return this.active; + }, + activate: function activate() { + if (this.isActive()) { + return true; + } else if (!this.isEnabled() || this.eventBus.before("active")) { + return false; + } else { + this.active = true; + this.eventBus.trigger("active"); + return true; + } + }, + deactivate: function deactivate() { + if (!this.isActive()) { + return true; + } else if (this.eventBus.before("idle")) { + return false; + } else { + this.active = false; + this.close(); + this.eventBus.trigger("idle"); + return true; + } + }, + isOpen: function isOpen() { + return this.menu.isOpen(); + }, + open: function open() { + if (!this.isOpen() && !this.eventBus.before("open")) { + this.menu.open(); + this._updateHint(); + this.eventBus.trigger("open"); + } + return this.isOpen(); + }, + close: function close() { + if (this.isOpen() && !this.eventBus.before("close")) { + this.menu.close(); + this.input.clearHint(); + this.input.resetInputValue(); + this.eventBus.trigger("close"); + } + return !this.isOpen(); + }, + setVal: function setVal(val) { + this.input.setQuery(_.toStr(val)); + }, + getVal: function getVal() { + return this.input.getQuery(); + }, + select: function select($selectable) { + var data = this.menu.getSelectableData($selectable); + if (data && !this.eventBus.before("select", data.obj)) { + this.input.setQuery(data.val, true); + this.eventBus.trigger("select", data.obj); + this.close(); + return true; + } + return false; + }, + autocomplete: function autocomplete($selectable) { + var query, data, isValid; + query = this.input.getQuery(); + data = this.menu.getSelectableData($selectable); + isValid = data && query !== data.val; + if (isValid && !this.eventBus.before("autocomplete", data.obj)) { + this.input.setQuery(data.val); + this.eventBus.trigger("autocomplete", data.obj); + return true; + } + return false; + }, + moveCursor: function moveCursor(delta) { + var query, $candidate, data, payload, cancelMove; + query = this.input.getQuery(); + $candidate = this.menu.selectableRelativeToCursor(delta); + data = this.menu.getSelectableData($candidate); + payload = data ? data.obj : null; + cancelMove = this._minLengthMet() && this.menu.update(query); + if (!cancelMove && !this.eventBus.before("cursorchange", payload)) { + this.menu.setCursor($candidate); + if (data) { + this.input.setInputValue(data.val); + } else { + this.input.resetInputValue(); + this._updateHint(); + } + this.eventBus.trigger("cursorchange", payload); + return true; + } + return false; + }, + destroy: function destroy() { + this.input.destroy(); + this.menu.destroy(); + } + }); + return Typeahead; + function c(ctx) { + var methods = [].slice.call(arguments, 1); + return function() { + var args = [].slice.call(arguments); + _.each(methods, function(method) { + return ctx[method].apply(ctx, args); + }); + }; + } + }(); + (function() { + "use strict"; + var old, keys, methods; + old = $.fn.typeahead; + keys = { + www: "tt-www", + attrs: "tt-attrs", + typeahead: "tt-typeahead" + }; + methods = { + initialize: function initialize(o, datasets) { + var www; + datasets = _.isArray(datasets) ? datasets : [].slice.call(arguments, 1); + o = o || {}; + www = WWW(o.classNames); + return this.each(attach); + function attach() { + var $input, $wrapper, $hint, $menu, defaultHint, defaultMenu, eventBus, input, menu, typeahead, MenuConstructor; + _.each(datasets, function(d) { + d.highlight = !!o.highlight; + }); + $input = $(this); + $wrapper = $(www.html.wrapper); + $hint = $elOrNull(o.hint); + $menu = $elOrNull(o.menu); + defaultHint = o.hint !== false && !$hint; + defaultMenu = o.menu !== false && !$menu; + defaultHint && ($hint = buildHintFromInput($input, www)); + defaultMenu && ($menu = $(www.html.menu).css(www.css.menu)); + $hint && $hint.val(""); + $input = prepInput($input, www); + if (defaultHint || defaultMenu) { + $wrapper.css(www.css.wrapper); + $input.css(defaultHint ? www.css.input : www.css.inputWithNoHint); + $input.wrap($wrapper).parent().prepend(defaultHint ? $hint : null).append(defaultMenu ? $menu : null); + } + MenuConstructor = defaultMenu ? DefaultMenu : Menu; + eventBus = new EventBus({ + el: $input + }); + input = new Input({ + hint: $hint, + input: $input + }, www); + menu = new MenuConstructor({ + node: $menu, + datasets: datasets + }, www); + typeahead = new Typeahead({ + input: input, + menu: menu, + eventBus: eventBus, + minLength: o.minLength + }, www); + $input.data(keys.www, www); + $input.data(keys.typeahead, typeahead); + } + }, + isEnabled: function isEnabled() { + var enabled; + ttEach(this.first(), function(t) { + enabled = t.isEnabled(); + }); + return enabled; + }, + enable: function enable() { + ttEach(this, function(t) { + t.enable(); + }); + return this; + }, + disable: function disable() { + ttEach(this, function(t) { + t.disable(); + }); + return this; + }, + isActive: function isActive() { + var active; + ttEach(this.first(), function(t) { + active = t.isActive(); + }); + return active; + }, + activate: function activate() { + ttEach(this, function(t) { + t.activate(); + }); + return this; + }, + deactivate: function deactivate() { + ttEach(this, function(t) { + t.deactivate(); + }); + return this; + }, + isOpen: function isOpen() { + var open; + ttEach(this.first(), function(t) { + open = t.isOpen(); + }); + return open; + }, + open: function open() { + ttEach(this, function(t) { + t.open(); + }); + return this; + }, + close: function close() { + ttEach(this, function(t) { + t.close(); + }); + return this; + }, + select: function select(el) { + var success = false, $el = $(el); + ttEach(this.first(), function(t) { + success = t.select($el); + }); + return success; + }, + autocomplete: function autocomplete(el) { + var success = false, $el = $(el); + ttEach(this.first(), function(t) { + success = t.autocomplete($el); + }); + return success; + }, + moveCursor: function moveCursoe(delta) { + var success = false; + ttEach(this.first(), function(t) { + success = t.moveCursor(delta); + }); + return success; + }, + val: function val(newVal) { + var query; + if (!arguments.length) { + ttEach(this.first(), function(t) { + query = t.getVal(); + }); + return query; + } else { + ttEach(this, function(t) { + t.setVal(newVal); + }); + return this; + } + }, + destroy: function destroy() { + ttEach(this, function(typeahead, $input) { + revert($input); + typeahead.destroy(); + }); + return this; + } + }; + $.fn.typeahead = function(method) { + if (methods[method]) { + return methods[method].apply(this, [].slice.call(arguments, 1)); + } else { + return methods.initialize.apply(this, arguments); + } + }; + $.fn.typeahead.noConflict = function noConflict() { + $.fn.typeahead = old; + return this; + }; + function ttEach($els, fn) { + $els.each(function() { + var $input = $(this), typeahead; + (typeahead = $input.data(keys.typeahead)) && fn(typeahead, $input); + }); + } + function buildHintFromInput($input, www) { + return $input.clone().addClass(www.classes.hint).removeData().css(www.css.hint).css(getBackgroundStyles($input)).prop("readonly", true).removeAttr("id name placeholder required").attr({ + autocomplete: "off", + spellcheck: "false", + tabindex: -1 + }); + } + function prepInput($input, www) { + $input.data(keys.attrs, { + dir: $input.attr("dir"), + autocomplete: $input.attr("autocomplete"), + spellcheck: $input.attr("spellcheck"), + style: $input.attr("style") + }); + $input.addClass(www.classes.input).attr({ + autocomplete: "off", + spellcheck: false + }); + try { + !$input.attr("dir") && $input.attr("dir", "auto"); + } catch (e) {} + return $input; + } + function getBackgroundStyles($el) { + return { + backgroundAttachment: $el.css("background-attachment"), + backgroundClip: $el.css("background-clip"), + backgroundColor: $el.css("background-color"), + backgroundImage: $el.css("background-image"), + backgroundOrigin: $el.css("background-origin"), + backgroundPosition: $el.css("background-position"), + backgroundRepeat: $el.css("background-repeat"), + backgroundSize: $el.css("background-size") + }; + } + function revert($input) { + var www, $wrapper; + www = $input.data(keys.www); + $wrapper = $input.parent().filter(www.selectors.wrapper); + _.each($input.data(keys.attrs), function(val, key) { + _.isUndefined(val) ? $input.removeAttr(key) : $input.attr(key, val); + }); + $input.removeData(keys.typeahead).removeData(keys.www).removeData(keys.attr).removeClass(www.classes.input); + if ($wrapper.length) { + $input.detach().insertAfter($wrapper); + $wrapper.remove(); + } + } + function $elOrNull(obj) { + var isValid, $el; + isValid = _.isJQuery(obj) || _.isElement(obj); + $el = isValid ? $(obj).first() : []; + return $el.length ? $el : null; + } + })(); +});
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/packages/nvd3/nv.d3.css b/wqflask/wqflask/static/new/packages/nvd3/nv.d3.css deleted file mode 100644 index 593d3889..00000000 --- a/wqflask/wqflask/static/new/packages/nvd3/nv.d3.css +++ /dev/null @@ -1,641 +0,0 @@ -/* nvd3 version 1.8.1 (https://github.com/novus/nvd3) 2015-05-25 */ -.nvd3 .nv-axis { - pointer-events:none; - opacity: 1; -} - -.nvd3 .nv-axis path { - fill: none; - stroke: #000; - stroke-opacity: .75; - shape-rendering: crispEdges; -} - -.nvd3 .nv-axis path.domain { - stroke-opacity: .75; -} - -.nvd3 .nv-axis.nv-x path.domain { - stroke-opacity: 1; -} - -.nvd3 .nv-axis line { - fill: none; - stroke: #e5e5e5; - shape-rendering: crispEdges; -} - -.nvd3 .nv-axis .zero line, - /*this selector may not be necessary*/ .nvd3 .nv-axis line.zero { - stroke-opacity: .75; -} - -.nvd3 .nv-axis .nv-axisMaxMin text { - font-weight: bold; -} - -.nvd3 .x .nv-axis .nv-axisMaxMin text, -.nvd3 .x2 .nv-axis .nv-axisMaxMin text, -.nvd3 .x3 .nv-axis .nv-axisMaxMin text { - text-anchor: middle -} - -.nvd3 .nv-axis.nv-disabled { - opacity: 0; -} - -.nvd3 .nv-bars rect { - fill-opacity: .75; - - transition: fill-opacity 250ms linear; - -moz-transition: fill-opacity 250ms linear; - -webkit-transition: fill-opacity 250ms linear; -} - -.nvd3 .nv-bars rect.hover { - fill-opacity: 1; -} - -.nvd3 .nv-bars .hover rect { - fill: lightblue; -} - -.nvd3 .nv-bars text { - fill: rgba(0,0,0,0); -} - -.nvd3 .nv-bars .hover text { - fill: rgba(0,0,0,1); -} - -.nvd3 .nv-multibar .nv-groups rect, -.nvd3 .nv-multibarHorizontal .nv-groups rect, -.nvd3 .nv-discretebar .nv-groups rect { - stroke-opacity: 0; - - transition: fill-opacity 250ms linear; - -moz-transition: fill-opacity 250ms linear; - -webkit-transition: fill-opacity 250ms linear; -} - -.nvd3 .nv-multibar .nv-groups rect:hover, -.nvd3 .nv-multibarHorizontal .nv-groups rect:hover, -.nvd3 .nv-candlestickBar .nv-ticks rect:hover, -.nvd3 .nv-discretebar .nv-groups rect:hover { - fill-opacity: 1; -} - -.nvd3 .nv-discretebar .nv-groups text, -.nvd3 .nv-multibarHorizontal .nv-groups text { - font-weight: bold; - fill: rgba(0,0,0,1); - stroke: rgba(0,0,0,0); -} - -/* boxplot CSS */ -.nvd3 .nv-boxplot circle { - fill-opacity: 0.5; -} - -.nvd3 .nv-boxplot circle:hover { - fill-opacity: 1; -} - -.nvd3 .nv-boxplot rect:hover { - fill-opacity: 1; -} - -.nvd3 line.nv-boxplot-median { - stroke: black; -} - -.nv-boxplot-tick:hover { - stroke-width: 2.5px; -} -/* bullet */ -.nvd3.nv-bullet { font: 10px sans-serif; } -.nvd3.nv-bullet .nv-measure { fill-opacity: .8; } -.nvd3.nv-bullet .nv-measure:hover { fill-opacity: 1; } -.nvd3.nv-bullet .nv-marker { stroke: #000; stroke-width: 2px; } -.nvd3.nv-bullet .nv-markerTriangle { stroke: #000; fill: #fff; stroke-width: 1.5px; } -.nvd3.nv-bullet .nv-tick line { stroke: #666; stroke-width: .5px; } -.nvd3.nv-bullet .nv-range.nv-s0 { fill: #eee; } -.nvd3.nv-bullet .nv-range.nv-s1 { fill: #ddd; } -.nvd3.nv-bullet .nv-range.nv-s2 { fill: #ccc; } -.nvd3.nv-bullet .nv-title { font-size: 14px; font-weight: bold; } -.nvd3.nv-bullet .nv-subtitle { fill: #999; } - - -.nvd3.nv-bullet .nv-range { - fill: #bababa; - fill-opacity: .4; -} -.nvd3.nv-bullet .nv-range:hover { - fill-opacity: .7; -} - -.nvd3.nv-candlestickBar .nv-ticks .nv-tick { - stroke-width: 1px; -} - -.nvd3.nv-candlestickBar .nv-ticks .nv-tick.hover { - stroke-width: 2px; -} - -.nvd3.nv-candlestickBar .nv-ticks .nv-tick.positive rect { - stroke: #2ca02c; - fill: #2ca02c; -} - -.nvd3.nv-candlestickBar .nv-ticks .nv-tick.negative rect { - stroke: #d62728; - fill: #d62728; -} - -.with-transitions .nv-candlestickBar .nv-ticks .nv-tick { - transition: stroke-width 250ms linear, stroke-opacity 250ms linear; - -moz-transition: stroke-width 250ms linear, stroke-opacity 250ms linear; - -webkit-transition: stroke-width 250ms linear, stroke-opacity 250ms linear; - -} - -.nvd3.nv-candlestickBar .nv-ticks line { - stroke: #333; -} - - -.nvd3 .nv-legend .nv-disabled rect { - /*fill-opacity: 0;*/ -} - -.nvd3 .nv-check-box .nv-box { - fill-opacity:0; - stroke-width:2; -} - -.nvd3 .nv-check-box .nv-check { - fill-opacity:0; - stroke-width:4; -} - -.nvd3 .nv-series.nv-disabled .nv-check-box .nv-check { - fill-opacity:0; - stroke-opacity:0; -} - -.nvd3 .nv-controlsWrap .nv-legend .nv-check-box .nv-check { - opacity: 0; -} - -/* line plus bar */ -.nvd3.nv-linePlusBar .nv-bar rect { - fill-opacity: .75; -} - -.nvd3.nv-linePlusBar .nv-bar rect:hover { - fill-opacity: 1; -} -.nvd3 .nv-groups path.nv-line { - fill: none; -} - -.nvd3 .nv-groups path.nv-area { - stroke: none; -} - -.nvd3.nv-line .nvd3.nv-scatter .nv-groups .nv-point { - fill-opacity: 0; - stroke-opacity: 0; -} - -.nvd3.nv-scatter.nv-single-point .nv-groups .nv-point { - fill-opacity: .5 !important; - stroke-opacity: .5 !important; -} - - -.with-transitions .nvd3 .nv-groups .nv-point { - transition: stroke-width 250ms linear, stroke-opacity 250ms linear; - -moz-transition: stroke-width 250ms linear, stroke-opacity 250ms linear; - -webkit-transition: stroke-width 250ms linear, stroke-opacity 250ms linear; - -} - -.nvd3.nv-scatter .nv-groups .nv-point.hover, -.nvd3 .nv-groups .nv-point.hover { - stroke-width: 7px; - fill-opacity: .95 !important; - stroke-opacity: .95 !important; -} - - -.nvd3 .nv-point-paths path { - stroke: #aaa; - stroke-opacity: 0; - fill: #eee; - fill-opacity: 0; -} - - - -.nvd3 .nv-indexLine { - cursor: ew-resize; -} - -/******************** - * SVG CSS - */ - -/******************** - Default CSS for an svg element nvd3 used -*/ -svg.nvd3-svg { - -webkit-touch-callout: none; - -webkit-user-select: none; - -khtml-user-select: none; - -ms-user-select: none; - -moz-user-select: none; - user-select: none; - display: block; - width:100%; - height:100%; -} - -/******************** - Box shadow and border radius styling -*/ -.nvtooltip.with-3d-shadow, .with-3d-shadow .nvtooltip { - -moz-box-shadow: 0 5px 10px rgba(0,0,0,.2); - -webkit-box-shadow: 0 5px 10px rgba(0,0,0,.2); - box-shadow: 0 5px 10px rgba(0,0,0,.2); - - -webkit-border-radius: 5px; - -moz-border-radius: 5px; - border-radius: 5px; -} - - -.nvd3 text { - font: normal 14px Arial; -} - -.nvd3 .title { - font: bold 14px Arial; -} - -.nvd3 .nv-background { - fill: white; - fill-opacity: 0; -} - -.nvd3.nv-noData { - font-size: 18px; - font-weight: bold; -} - - -/********** -* Brush -*/ - -.nv-brush .extent { - fill-opacity: .125; - shape-rendering: crispEdges; -} - -.nv-brush .resize path { - fill: #eee; - stroke: #666; -} - - -/********** -* Legend -*/ - -.nvd3 .nv-legend .nv-series { - cursor: pointer; -} - -.nvd3 .nv-legend .nv-disabled circle { - fill-opacity: 0; -} - -/* focus */ -.nvd3 .nv-brush .extent { - fill-opacity: 0 !important; -} - -.nvd3 .nv-brushBackground rect { - stroke: #000; - stroke-width: .4; - fill: #fff; - fill-opacity: .7; -} - - -.nvd3.nv-ohlcBar .nv-ticks .nv-tick { - stroke-width: 1px; -} - -.nvd3.nv-ohlcBar .nv-ticks .nv-tick.hover { - stroke-width: 2px; -} - -.nvd3.nv-ohlcBar .nv-ticks .nv-tick.positive { - stroke: #2ca02c; -} - -.nvd3.nv-ohlcBar .nv-ticks .nv-tick.negative { - stroke: #d62728; -} - - -.nvd3 .background path { - fill: none; - stroke: #EEE; - stroke-opacity: .4; - shape-rendering: crispEdges; -} - -.nvd3 .foreground path { - fill: none; - stroke-opacity: .7; -} - -.nvd3 .nv-parallelCoordinates-brush .extent -{ - fill: #fff; - fill-opacity: .6; - stroke: gray; - shape-rendering: crispEdges; -} - -.nvd3 .nv-parallelCoordinates .hover { - fill-opacity: 1; - stroke-width: 3px; -} - - -.nvd3 .missingValuesline line { - fill: none; - stroke: black; - stroke-width: 1; - stroke-opacity: 1; - stroke-dasharray: 5, 5; -} -.nvd3.nv-pie path { - stroke-opacity: 0; - transition: fill-opacity 250ms linear, stroke-width 250ms linear, stroke-opacity 250ms linear; - -moz-transition: fill-opacity 250ms linear, stroke-width 250ms linear, stroke-opacity 250ms linear; - -webkit-transition: fill-opacity 250ms linear, stroke-width 250ms linear, stroke-opacity 250ms linear; - -} - -.nvd3.nv-pie .nv-pie-title { - font-size: 24px; - fill: rgba(19, 196, 249, 0.59); -} - -.nvd3.nv-pie .nv-slice text { - stroke: #000; - stroke-width: 0; -} - -.nvd3.nv-pie path { - stroke: #fff; - stroke-width: 1px; - stroke-opacity: 1; -} - -.nvd3.nv-pie .hover path { - fill-opacity: .7; -} -.nvd3.nv-pie .nv-label { - pointer-events: none; -} -.nvd3.nv-pie .nv-label rect { - fill-opacity: 0; - stroke-opacity: 0; -} - -/* scatter */ -.nvd3 .nv-groups .nv-point.hover { - stroke-width: 20px; - stroke-opacity: .5; -} - -.nvd3 .nv-scatter .nv-point.hover { - fill-opacity: 1; -} -.nv-noninteractive { - pointer-events: none; -} - -.nv-distx, .nv-disty { - pointer-events: none; -} - -/* sparkline */ -.nvd3.nv-sparkline path { - fill: none; -} - -.nvd3.nv-sparklineplus g.nv-hoverValue { - pointer-events: none; -} - -.nvd3.nv-sparklineplus .nv-hoverValue line { - stroke: #333; - stroke-width: 1.5px; -} - -.nvd3.nv-sparklineplus, -.nvd3.nv-sparklineplus g { - pointer-events: all; -} - -.nvd3 .nv-hoverArea { - fill-opacity: 0; - stroke-opacity: 0; -} - -.nvd3.nv-sparklineplus .nv-xValue, -.nvd3.nv-sparklineplus .nv-yValue { - stroke-width: 0; - font-size: .9em; - font-weight: normal; -} - -.nvd3.nv-sparklineplus .nv-yValue { - stroke: #f66; -} - -.nvd3.nv-sparklineplus .nv-maxValue { - stroke: #2ca02c; - fill: #2ca02c; -} - -.nvd3.nv-sparklineplus .nv-minValue { - stroke: #d62728; - fill: #d62728; -} - -.nvd3.nv-sparklineplus .nv-currentValue { - font-weight: bold; - font-size: 1.1em; -} -/* stacked area */ -.nvd3.nv-stackedarea path.nv-area { - fill-opacity: .7; - stroke-opacity: 0; - transition: fill-opacity 250ms linear, stroke-opacity 250ms linear; - -moz-transition: fill-opacity 250ms linear, stroke-opacity 250ms linear; - -webkit-transition: fill-opacity 250ms linear, stroke-opacity 250ms linear; -} - -.nvd3.nv-stackedarea path.nv-area.hover { - fill-opacity: .9; -} - - -.nvd3.nv-stackedarea .nv-groups .nv-point { - stroke-opacity: 0; - fill-opacity: 0; -} - - -.nvtooltip { - position: absolute; - background-color: rgba(255,255,255,1.0); - color: rgba(0,0,0,1.0); - padding: 1px; - border: 1px solid rgba(0,0,0,.2); - z-index: 10000; - display: block; - - font-family: Arial; - font-size: 13px; - text-align: left; - pointer-events: none; - - white-space: nowrap; - - -webkit-touch-callout: none; - -webkit-user-select: none; - -khtml-user-select: none; - -moz-user-select: none; - -ms-user-select: none; - user-select: none; -} - -.nvtooltip { - background: rgba(255,255,255, 0.8); - border: 1px solid rgba(0,0,0,0.5); - border-radius: 4px; -} - -/*Give tooltips that old fade in transition by - putting a "with-transitions" class on the container div. -*/ -.nvtooltip.with-transitions, .with-transitions .nvtooltip { - transition: opacity 50ms linear; - -moz-transition: opacity 50ms linear; - -webkit-transition: opacity 50ms linear; - - transition-delay: 200ms; - -moz-transition-delay: 200ms; - -webkit-transition-delay: 200ms; -} - -.nvtooltip.x-nvtooltip, -.nvtooltip.y-nvtooltip { - padding: 8px; -} - -.nvtooltip h3 { - margin: 0; - padding: 4px 14px; - line-height: 18px; - font-weight: normal; - background-color: rgba(247,247,247,0.75); - color: rgba(0,0,0,1.0); - text-align: center; - - border-bottom: 1px solid #ebebeb; - - -webkit-border-radius: 5px 5px 0 0; - -moz-border-radius: 5px 5px 0 0; - border-radius: 5px 5px 0 0; -} - -.nvtooltip p { - margin: 0; - padding: 5px 14px; - text-align: center; -} - -.nvtooltip span { - display: inline-block; - margin: 2px 0; -} - -.nvtooltip table { - margin: 6px; - border-spacing:0; -} - - -.nvtooltip table td { - padding: 2px 9px 2px 0; - vertical-align: middle; -} - -.nvtooltip table td.key { - font-weight:normal; -} -.nvtooltip table td.value { - text-align: right; - font-weight: bold; -} - -.nvtooltip table tr.highlight td { - padding: 1px 9px 1px 0; - border-bottom-style: solid; - border-bottom-width: 1px; - border-top-style: solid; - border-top-width: 1px; -} - -.nvtooltip table td.legend-color-guide div { - width: 8px; - height: 8px; - vertical-align: middle; -} - -.nvtooltip table td.legend-color-guide div { - width: 12px; - height: 12px; - border: 1px solid #999; -} - -.nvtooltip .footer { - padding: 3px; - text-align: center; -} - -.nvtooltip-pending-removal { - pointer-events: none; - display: none; -} - - -/**** -Interactive Layer -*/ -.nvd3 .nv-interactiveGuideLine { - pointer-events:none; -} -.nvd3 line.nv-guideline { - stroke: #ccc; -}
\ No newline at end of file diff --git a/wqflask/wqflask/static/new/packages/nvd3/nv.d3.js b/wqflask/wqflask/static/new/packages/nvd3/nv.d3.js deleted file mode 100644 index f64a6c14..00000000 --- a/wqflask/wqflask/static/new/packages/nvd3/nv.d3.js +++ /dev/null @@ -1,13363 +0,0 @@ -/* nvd3 version 1.8.1 (https://github.com/novus/nvd3) 2015-05-25 */ -(function(){ - -// set up main nv object -var nv = {}; - -// the major global objects under the nv namespace -nv.dev = false; //set false when in production -nv.tooltip = nv.tooltip || {}; // For the tooltip system -nv.utils = nv.utils || {}; // Utility subsystem -nv.models = nv.models || {}; //stores all the possible models/components -nv.charts = {}; //stores all the ready to use charts -nv.logs = {}; //stores some statistics and potential error messages -nv.dom = {}; //DOM manipulation functions - -nv.dispatch = d3.dispatch('render_start', 'render_end'); - -// Function bind polyfill -// Needed ONLY for phantomJS as it's missing until version 2.0 which is unreleased as of this comment -// https://github.com/ariya/phantomjs/issues/10522 -// http://kangax.github.io/compat-table/es5/#Function.prototype.bind -// phantomJS is used for running the test suite -if (!Function.prototype.bind) { - Function.prototype.bind = function (oThis) { - if (typeof this !== "function") { - // closest thing possible to the ECMAScript 5 internal IsCallable function - throw new TypeError("Function.prototype.bind - what is trying to be bound is not callable"); - } - - var aArgs = Array.prototype.slice.call(arguments, 1), - fToBind = this, - fNOP = function () {}, - fBound = function () { - return fToBind.apply(this instanceof fNOP && oThis - ? this - : oThis, - aArgs.concat(Array.prototype.slice.call(arguments))); - }; - - fNOP.prototype = this.prototype; - fBound.prototype = new fNOP(); - return fBound; - }; -} - -// Development render timers - disabled if dev = false -if (nv.dev) { - nv.dispatch.on('render_start', function(e) { - nv.logs.startTime = +new Date(); - }); - - nv.dispatch.on('render_end', function(e) { - nv.logs.endTime = +new Date(); - nv.logs.totalTime = nv.logs.endTime - nv.logs.startTime; - nv.log('total', nv.logs.totalTime); // used for development, to keep track of graph generation times - }); -} - -// Logs all arguments, and returns the last so you can test things in place -// Note: in IE8 console.log is an object not a function, and if modernizr is used -// then calling Function.prototype.bind with with anything other than a function -// causes a TypeError to be thrown. -nv.log = function() { - if (nv.dev && window.console && console.log && console.log.apply) - console.log.apply(console, arguments); - else if (nv.dev && window.console && typeof console.log == "function" && Function.prototype.bind) { - var log = Function.prototype.bind.call(console.log, console); - log.apply(console, arguments); - } - return arguments[arguments.length - 1]; -}; - -// print console warning, should be used by deprecated functions -nv.deprecated = function(name, info) { - if (console && console.warn) { - console.warn('nvd3 warning: `' + name + '` has been deprecated. ', info || ''); - } -}; - -// The nv.render function is used to queue up chart rendering -// in non-blocking async functions. -// When all queued charts are done rendering, nv.dispatch.render_end is invoked. -nv.render = function render(step) { - // number of graphs to generate in each timeout loop - step = step || 1; - - nv.render.active = true; - nv.dispatch.render_start(); - - var renderLoop = function() { - var chart, graph; - - for (var i = 0; i < step && (graph = nv.render.queue[i]); i++) { - chart = graph.generate(); - if (typeof graph.callback == typeof(Function)) graph.callback(chart); - } - - nv.render.queue.splice(0, i); - - if (nv.render.queue.length) { - setTimeout(renderLoop); - } - else { - nv.dispatch.render_end(); - nv.render.active = false; - } - }; - - setTimeout(renderLoop); -}; - -nv.render.active = false; -nv.render.queue = []; - -/* -Adds a chart to the async rendering queue. This method can take arguments in two forms: -nv.addGraph({ - generate: <Function> - callback: <Function> -}) - -or - -nv.addGraph(<generate Function>, <callback Function>) - -The generate function should contain code that creates the NVD3 model, sets options -on it, adds data to an SVG element, and invokes the chart model. The generate function -should return the chart model. See examples/lineChart.html for a usage example. - -The callback function is optional, and it is called when the generate function completes. -*/ -nv.addGraph = function(obj) { - if (typeof arguments[0] === typeof(Function)) { - obj = {generate: arguments[0], callback: arguments[1]}; - } - - nv.render.queue.push(obj); - - if (!nv.render.active) { - nv.render(); - } -}; - -// Node/CommonJS exports -if (typeof(module) !== 'undefined' && typeof(exports) !== 'undefined') { - module.exports = nv; -} - -if (typeof(window) !== 'undefined') { - window.nv = nv; -} -/* Facade for queueing DOM write operations
- * with Fastdom (https://github.com/wilsonpage/fastdom)
- * if available.
- * This could easily be extended to support alternate
- * implementations in the future.
- */
-nv.dom.write = function(callback) {
- if (window.fastdom !== undefined) {
- return fastdom.write(callback);
- }
- return callback();
-};
-
-/* Facade for queueing DOM read operations
- * with Fastdom (https://github.com/wilsonpage/fastdom)
- * if available.
- * This could easily be extended to support alternate
- * implementations in the future.
- */
-nv.dom.read = function(callback) {
- if (window.fastdom !== undefined) {
- return fastdom.read(callback);
- }
- return callback();
-};/* Utility class to handle creation of an interactive layer. - This places a rectangle on top of the chart. When you mouse move over it, it sends a dispatch - containing the X-coordinate. It can also render a vertical line where the mouse is located. - - dispatch.elementMousemove is the important event to latch onto. It is fired whenever the mouse moves over - the rectangle. The dispatch is given one object which contains the mouseX/Y location. - It also has 'pointXValue', which is the conversion of mouseX to the x-axis scale. - */ -nv.interactiveGuideline = function() { - "use strict"; - - var tooltip = nv.models.tooltip(); - tooltip.duration(0).hideDelay(0)._isInteractiveLayer(true).hidden(false); - - //Public settings - var width = null; - var height = null; - - //Please pass in the bounding chart's top and left margins - //This is important for calculating the correct mouseX/Y positions. - var margin = {left: 0, top: 0} - , xScale = d3.scale.linear() - , dispatch = d3.dispatch('elementMousemove', 'elementMouseout', 'elementClick', 'elementDblclick') - , showGuideLine = true; - //Must pass in the bounding chart's <svg> container. - //The mousemove event is attached to this container. - var svgContainer = null; - - // check if IE by looking for activeX - var isMSIE = "ActiveXObject" in window; - - - function layer(selection) { - selection.each(function(data) { - var container = d3.select(this); - var availableWidth = (width || 960), availableHeight = (height || 400); - var wrap = container.selectAll("g.nv-wrap.nv-interactiveLineLayer") - .data([data]); - var wrapEnter = wrap.enter() - .append("g").attr("class", " nv-wrap nv-interactiveLineLayer"); - wrapEnter.append("g").attr("class","nv-interactiveGuideLine"); - - if (!svgContainer) { - return; - } - - function mouseHandler() { - var d3mouse = d3.mouse(this); - var mouseX = d3mouse[0]; - var mouseY = d3mouse[1]; - var subtractMargin = true; - var mouseOutAnyReason = false; - if (isMSIE) { - /* - D3.js (or maybe SVG.getScreenCTM) has a nasty bug in Internet Explorer 10. - d3.mouse() returns incorrect X,Y mouse coordinates when mouse moving - over a rect in IE 10. - However, d3.event.offsetX/Y also returns the mouse coordinates - relative to the triggering <rect>. So we use offsetX/Y on IE. - */ - mouseX = d3.event.offsetX; - mouseY = d3.event.offsetY; - - /* - On IE, if you attach a mouse event listener to the <svg> container, - it will actually trigger it for all the child elements (like <path>, <circle>, etc). - When this happens on IE, the offsetX/Y is set to where ever the child element - is located. - As a result, we do NOT need to subtract margins to figure out the mouse X/Y - position under this scenario. Removing the line below *will* cause - the interactive layer to not work right on IE. - */ - if(d3.event.target.tagName !== "svg") { - subtractMargin = false; - } - - if (d3.event.target.className.baseVal.match("nv-legend")) { - mouseOutAnyReason = true; - } - - } - - if(subtractMargin) { - mouseX -= margin.left; - mouseY -= margin.top; - } - - /* If mouseX/Y is outside of the chart's bounds, - trigger a mouseOut event. - */ - if (mouseX < 0 || mouseY < 0 - || mouseX > availableWidth || mouseY > availableHeight - || (d3.event.relatedTarget && d3.event.relatedTarget.ownerSVGElement === undefined) - || mouseOutAnyReason - ) { - - if (isMSIE) { - if (d3.event.relatedTarget - && d3.event.relatedTarget.ownerSVGElement === undefined - && (d3.event.relatedTarget.className === undefined - || d3.event.relatedTarget.className.match(tooltip.nvPointerEventsClass))) { - - return; - } - } - dispatch.elementMouseout({ - mouseX: mouseX, - mouseY: mouseY - }); - layer.renderGuideLine(null); //hide the guideline - tooltip.hidden(true); - return; - } else { - tooltip.hidden(false); - } - - var pointXValue = xScale.invert(mouseX); - dispatch.elementMousemove({ - mouseX: mouseX, - mouseY: mouseY, - pointXValue: pointXValue - }); - - //If user double clicks the layer, fire a elementDblclick - if (d3.event.type === "dblclick") { - dispatch.elementDblclick({ - mouseX: mouseX, - mouseY: mouseY, - pointXValue: pointXValue - }); - } - - // if user single clicks the layer, fire elementClick - if (d3.event.type === 'click') { - dispatch.elementClick({ - mouseX: mouseX, - mouseY: mouseY, - pointXValue: pointXValue - }); - } - } - - svgContainer - .on("touchmove",mouseHandler) - .on("mousemove",mouseHandler, true) - .on("mouseout" ,mouseHandler,true) - .on("dblclick" ,mouseHandler) - .on("click", mouseHandler) - ; - - layer.guideLine = null; - //Draws a vertical guideline at the given X postion. - layer.renderGuideLine = function(x) { - if (!showGuideLine) return; - if (layer.guideLine && layer.guideLine.attr("x1") === x) return; - nv.dom.write(function() { - var line = wrap.select(".nv-interactiveGuideLine") - .selectAll("line") - .data((x != null) ? [nv.utils.NaNtoZero(x)] : [], String); - line.enter() - .append("line") - .attr("class", "nv-guideline") - .attr("x1", function(d) { return d;}) - .attr("x2", function(d) { return d;}) - .attr("y1", availableHeight) - .attr("y2",0); - line.exit().remove(); - }); - } - }); - } - - layer.dispatch = dispatch; - layer.tooltip = tooltip; - - layer.margin = function(_) { - if (!arguments.length) return margin; - margin.top = typeof _.top != 'undefined' ? _.top : margin.top; - margin.left = typeof _.left != 'undefined' ? _.left : margin.left; - return layer; - }; - - layer.width = function(_) { - if (!arguments.length) return width; - width = _; - return layer; - }; - - layer.height = function(_) { - if (!arguments.length) return height; - height = _; - return layer; - }; - - layer.xScale = function(_) { - if (!arguments.length) return xScale; - xScale = _; - return layer; - }; - - layer.showGuideLine = function(_) { - if (!arguments.length) return showGuideLine; - showGuideLine = _; - return layer; - }; - - layer.svgContainer = function(_) { - if (!arguments.length) return svgContainer; - svgContainer = _; - return layer; - }; - - return layer; -}; - -/* Utility class that uses d3.bisect to find the index in a given array, where a search value can be inserted. - This is different from normal bisectLeft; this function finds the nearest index to insert the search value. - - For instance, lets say your array is [1,2,3,5,10,30], and you search for 28. - Normal d3.bisectLeft will return 4, because 28 is inserted after the number 10. But interactiveBisect will return 5 - because 28 is closer to 30 than 10. - - Unit tests can be found in: interactiveBisectTest.html - - Has the following known issues: - * Will not work if the data points move backwards (ie, 10,9,8,7, etc) or if the data points are in random order. - * Won't work if there are duplicate x coordinate values. - */ -nv.interactiveBisect = function (values, searchVal, xAccessor) { - "use strict"; - if (! (values instanceof Array)) { - return null; - } - var _xAccessor; - if (typeof xAccessor !== 'function') { - _xAccessor = function(d) { - return d.x; - } - } else { - _xAccessor = xAccessor; - } - var _cmp = function(d, v) { - // Accessors are no longer passed the index of the element along with - // the element itself when invoked by d3.bisector. - // - // Starting at D3 v3.4.4, d3.bisector() started inspecting the - // function passed to determine if it should consider it an accessor - // or a comparator. This meant that accessors that take two arguments - // (expecting an index as the second parameter) are treated as - // comparators where the second argument is the search value against - // which the first argument is compared. - return _xAccessor(d) - v; - }; - - var bisect = d3.bisector(_cmp).left; - var index = d3.max([0, bisect(values,searchVal) - 1]); - var currentValue = _xAccessor(values[index]); - - if (typeof currentValue === 'undefined') { - currentValue = index; - } - - if (currentValue === searchVal) { - return index; //found exact match - } - - var nextIndex = d3.min([index+1, values.length - 1]); - var nextValue = _xAccessor(values[nextIndex]); - - if (typeof nextValue === 'undefined') { - nextValue = nextIndex; - } - - if (Math.abs(nextValue - searchVal) >= Math.abs(currentValue - searchVal)) { - return index; - } else { - return nextIndex - } -}; - -/* - Returns the index in the array "values" that is closest to searchVal. - Only returns an index if searchVal is within some "threshold". - Otherwise, returns null. - */ -nv.nearestValueIndex = function (values, searchVal, threshold) { - "use strict"; - var yDistMax = Infinity, indexToHighlight = null; - values.forEach(function(d,i) { - var delta = Math.abs(searchVal - d); - if ( d != null && delta <= yDistMax && delta < threshold) { - yDistMax = delta; - indexToHighlight = i; - } - }); - return indexToHighlight; -}; -/* Tooltip rendering model for nvd3 charts. - window.nv.models.tooltip is the updated,new way to render tooltips. - - window.nv.tooltip.show is the old tooltip code. - window.nv.tooltip.* also has various helper methods. - */ -(function() { - "use strict"; - - /* Model which can be instantiated to handle tooltip rendering. - Example usage: - var tip = nv.models.tooltip().gravity('w').distance(23) - .data(myDataObject); - - tip(); //just invoke the returned function to render tooltip. - */ - nv.models.tooltip = function() { - - /* - Tooltip data. If data is given in the proper format, a consistent tooltip is generated. - Example Format of data: - { - key: "Date", - value: "August 2009", - series: [ - {key: "Series 1", value: "Value 1", color: "#000"}, - {key: "Series 2", value: "Value 2", color: "#00f"} - ] - } - */ - var data = null; - var gravity = 'w' //Can be 'n','s','e','w'. Determines how tooltip is positioned. - , distance = 25 //Distance to offset tooltip from the mouse location. - , snapDistance = 0 //Tolerance allowed before tooltip is moved from its current position (creates 'snapping' effect) - , fixedTop = null //If not null, this fixes the top position of the tooltip. - , classes = null //Attaches additional CSS classes to the tooltip DIV that is created. - , chartContainer = null //Parent dom element of the SVG that holds the chart. - , hidden = true // start off hidden, toggle with hide/show functions below - , hideDelay = 400 // delay before the tooltip hides after calling hide() - , tooltip = null // d3 select of tooltipElem below - , tooltipElem = null //actual DOM element representing the tooltip. - , position = {left: null, top: null} //Relative position of the tooltip inside chartContainer. - , offset = {left: 0, top: 0} //Offset of tooltip against the pointer - , enabled = true //True -> tooltips are rendered. False -> don't render tooltips. - , duration = 100 // duration for tooltip movement - , headerEnabled = true - ; - - // set to true by interactive layer to adjust tooltip positions - // eventually we should probably fix interactive layer to get the position better. - // for now this is needed if you want to set chartContainer for normal tooltips, else it "fixes" it to broken - var isInteractiveLayer = false; - - //Generates a unique id when you create a new tooltip() object - var id = "nvtooltip-" + Math.floor(Math.random() * 100000); - - //CSS class to specify whether element should not have mouse events. - var nvPointerEventsClass = "nv-pointer-events-none"; - - //Format function for the tooltip values column - var valueFormatter = function(d,i) { - return d; - }; - - //Format function for the tooltip header value. - var headerFormatter = function(d) { - return d; - }; - - var keyFormatter = function(d, i) { - return d; - }; - - //By default, the tooltip model renders a beautiful table inside a DIV. - //You can override this function if a custom tooltip is desired. - var contentGenerator = function(d) { - if (d === null) { - return ''; - } - - var table = d3.select(document.createElement("table")); - if (headerEnabled) { - var theadEnter = table.selectAll("thead") - .data([d]) - .enter().append("thead"); - - theadEnter.append("tr") - .append("td") - .attr("colspan", 3) - .append("strong") - .classed("x-value", true) - .html(headerFormatter(d.value)); - } - - var tbodyEnter = table.selectAll("tbody") - .data([d]) - .enter().append("tbody"); - - var trowEnter = tbodyEnter.selectAll("tr") - .data(function(p) { return p.series}) - .enter() - .append("tr") - .classed("highlight", function(p) { return p.highlight}); - - trowEnter.append("td") - .classed("legend-color-guide",true) - .append("div") - .style("background-color", function(p) { return p.color}); - - trowEnter.append("td") - .classed("key",true) - .html(function(p, i) {return keyFormatter(p.key, i)}); - - trowEnter.append("td") - .classed("value",true) - .html(function(p, i) { return valueFormatter(p.value, i) }); - - - trowEnter.selectAll("td").each(function(p) { - if (p.highlight) { - var opacityScale = d3.scale.linear().domain([0,1]).range(["#fff",p.color]); - var opacity = 0.6; - d3.select(this) - .style("border-bottom-color", opacityScale(opacity)) - .style("border-top-color", opacityScale(opacity)) - ; - } - }); - - var html = table.node().outerHTML; - if (d.footer !== undefined) - html += "<div class='footer'>" + d.footer + "</div>"; - return html; - - }; - - var dataSeriesExists = function(d) { - if (d && d.series) { - if (d.series instanceof Array) { - return !!d.series.length; - } - // if object, it's okay just convert to array of the object - if (d.series instanceof Object) { - d.series = [d.series]; - return true; - } - } - return false; - }; - - var calcTooltipPosition = function(pos) { - if (!tooltipElem) return; - - nv.dom.read(function() { - var height = parseInt(tooltipElem.offsetHeight, 10), - width = parseInt(tooltipElem.offsetWidth, 10), - windowWidth = nv.utils.windowSize().width, - windowHeight = nv.utils.windowSize().height, - scrollTop = window.pageYOffset, - scrollLeft = window.pageXOffset, - left, top; - - windowHeight = window.innerWidth >= document.body.scrollWidth ? windowHeight : windowHeight - 16; - windowWidth = window.innerHeight >= document.body.scrollHeight ? windowWidth : windowWidth - 16; - - - //Helper functions to find the total offsets of a given DOM element. - //Looks up the entire ancestry of an element, up to the first relatively positioned element. - var tooltipTop = function ( Elem ) { - var offsetTop = top; - do { - if( !isNaN( Elem.offsetTop ) ) { - offsetTop += (Elem.offsetTop); - } - Elem = Elem.offsetParent; - } while( Elem ); - return offsetTop; - }; - var tooltipLeft = function ( Elem ) { - var offsetLeft = left; - do { - if( !isNaN( Elem.offsetLeft ) ) { - offsetLeft += (Elem.offsetLeft); - } - Elem = Elem.offsetParent; - } while( Elem ); - return offsetLeft; - }; - - // calculate position based on gravity - var tLeft, tTop; - switch (gravity) { - case 'e': - left = pos[0] - width - distance; - top = pos[1] - (height / 2); - tLeft = tooltipLeft(tooltipElem); - tTop = tooltipTop(tooltipElem); - if (tLeft < scrollLeft) left = pos[0] + distance > scrollLeft ? pos[0] + distance : scrollLeft - tLeft + left; - if (tTop < scrollTop) top = scrollTop - tTop + top; - if (tTop + height > scrollTop + windowHeight) top = scrollTop + windowHeight - tTop + top - height; - break; - case 'w': - left = pos[0] + distance; - top = pos[1] - (height / 2); - tLeft = tooltipLeft(tooltipElem); - tTop = tooltipTop(tooltipElem); - if (tLeft + width > windowWidth) left = pos[0] - width - distance; - if (tTop < scrollTop) top = scrollTop + 5; - if (tTop + height > scrollTop + windowHeight) top = scrollTop + windowHeight - tTop + top - height; - break; - case 'n': - left = pos[0] - (width / 2) - 5; - top = pos[1] + distance; - tLeft = tooltipLeft(tooltipElem); - tTop = tooltipTop(tooltipElem); - if (tLeft < scrollLeft) left = scrollLeft + 5; - if (tLeft + width > windowWidth) left = left - width/2 + 5; - if (tTop + height > scrollTop + windowHeight) top = scrollTop + windowHeight - tTop + top - height; - break; - case 's': - left = pos[0] - (width / 2); - top = pos[1] - height - distance; - tLeft = tooltipLeft(tooltipElem); - tTop = tooltipTop(tooltipElem); - if (tLeft < scrollLeft) left = scrollLeft + 5; - if (tLeft + width > windowWidth) left = left - width/2 + 5; - if (scrollTop > tTop) top = scrollTop; - break; - case 'none': - left = pos[0]; - top = pos[1] - distance; - tLeft = tooltipLeft(tooltipElem); - tTop = tooltipTop(tooltipElem); - break; - } - - // adjust tooltip offsets - left -= offset.left; - top -= offset.top; - - // using tooltip.style('transform') returns values un-usable for tween - var box = tooltipElem.getBoundingClientRect(); - var scrollTop = window.pageYOffset || document.documentElement.scrollTop; - var scrollLeft = window.pageXOffset || document.documentElement.scrollLeft; - var old_translate = 'translate(' + (box.left + scrollLeft) + 'px, ' + (box.top + scrollTop) + 'px)'; - var new_translate = 'translate(' + left + 'px, ' + top + 'px)'; - var translateInterpolator = d3.interpolateString(old_translate, new_translate); - - var is_hidden = tooltip.style('opacity') < 0.1; - - // delay hiding a bit to avoid flickering - if (hidden) { - tooltip - .transition() - .delay(hideDelay) - .duration(0) - .style('opacity', 0); - } else { - tooltip - .interrupt() // cancel running transitions - .transition() - .duration(is_hidden ? 0 : duration) - // using tween since some versions of d3 can't auto-tween a translate on a div - .styleTween('transform', function (d) { - return translateInterpolator; - }, 'important') - // Safari has its own `-webkit-transform` and does not support `transform` - // transform tooltip without transition only in Safari - .style('-webkit-transform', new_translate) - .style('opacity', 1); - } - - - - }); - }; - - //In situations where the chart is in a 'viewBox', re-position the tooltip based on how far chart is zoomed. - function convertViewBoxRatio() { - if (chartContainer) { - var svg = d3.select(chartContainer); - if (svg.node().tagName !== "svg") { - svg = svg.select("svg"); - } - var viewBox = (svg.node()) ? svg.attr('viewBox') : null; - if (viewBox) { - viewBox = viewBox.split(' '); - var ratio = parseInt(svg.style('width'), 10) / viewBox[2]; - - position.left = position.left * ratio; - position.top = position.top * ratio; - } - } - } - - //Creates new tooltip container, or uses existing one on DOM. - function initTooltip() { - if (!tooltip) { - var body; - if (chartContainer) { - body = chartContainer; - } else { - body = document.body; - } - //Create new tooltip div if it doesn't exist on DOM. - tooltip = d3.select(body).append("div") - .attr("class", "nvtooltip " + (classes ? classes : "xy-tooltip")) - .attr("id", id); - tooltip.style("top", 0).style("left", 0); - tooltip.style('opacity', 0); - tooltip.selectAll("div, table, td, tr").classed(nvPointerEventsClass, true); - tooltip.classed(nvPointerEventsClass, true); - tooltipElem = tooltip.node(); - } - } - - //Draw the tooltip onto the DOM. - function nvtooltip() { - if (!enabled) return; - if (!dataSeriesExists(data)) return; - - convertViewBoxRatio(); - - var left = position.left; - var top = (fixedTop !== null) ? fixedTop : position.top; - - nv.dom.write(function () { - initTooltip(); - // generate data and set it into tooltip - // Bonus - If you override contentGenerator and return falsey you can use something like - // React or Knockout to bind the data for your tooltip - var newContent = contentGenerator(data); - if (newContent) { - tooltipElem.innerHTML = newContent; - } - - if (chartContainer && isInteractiveLayer) { - nv.dom.read(function() { - var svgComp = chartContainer.getElementsByTagName("svg")[0]; - var svgOffset = {left:0,top:0}; - if (svgComp) { - var svgBound = svgComp.getBoundingClientRect(); - var chartBound = chartContainer.getBoundingClientRect(); - var svgBoundTop = svgBound.top; - - //Defensive code. Sometimes, svgBoundTop can be a really negative - // number, like -134254. That's a bug. - // If such a number is found, use zero instead. FireFox bug only - if (svgBoundTop < 0) { - var containerBound = chartContainer.getBoundingClientRect(); - svgBoundTop = (Math.abs(svgBoundTop) > containerBound.height) ? 0 : svgBoundTop; - } - svgOffset.top = Math.abs(svgBoundTop - chartBound.top); - svgOffset.left = Math.abs(svgBound.left - chartBound.left); - } - //If the parent container is an overflow <div> with scrollbars, subtract the scroll offsets. - //You need to also add any offset between the <svg> element and its containing <div> - //Finally, add any offset of the containing <div> on the whole page. - left += chartContainer.offsetLeft + svgOffset.left - 2*chartContainer.scrollLeft; - top += chartContainer.offsetTop + svgOffset.top - 2*chartContainer.scrollTop; - - if (snapDistance && snapDistance > 0) { - top = Math.floor(top/snapDistance) * snapDistance; - } - calcTooltipPosition([left,top]); - }); - } else { - calcTooltipPosition([left,top]); - } - }); - - return nvtooltip; - } - - nvtooltip.nvPointerEventsClass = nvPointerEventsClass; - nvtooltip.options = nv.utils.optionsFunc.bind(nvtooltip); - - nvtooltip._options = Object.create({}, { - // simple read/write options - duration: {get: function(){return duration;}, set: function(_){duration=_;}}, - gravity: {get: function(){return gravity;}, set: function(_){gravity=_;}}, - distance: {get: function(){return distance;}, set: function(_){distance=_;}}, - snapDistance: {get: function(){return snapDistance;}, set: function(_){snapDistance=_;}}, - classes: {get: function(){return classes;}, set: function(_){classes=_;}}, - chartContainer: {get: function(){return chartContainer;}, set: function(_){chartContainer=_;}}, - fixedTop: {get: function(){return fixedTop;}, set: function(_){fixedTop=_;}}, - enabled: {get: function(){return enabled;}, set: function(_){enabled=_;}}, - hideDelay: {get: function(){return hideDelay;}, set: function(_){hideDelay=_;}}, - contentGenerator: {get: function(){return contentGenerator;}, set: function(_){contentGenerator=_;}}, - valueFormatter: {get: function(){return valueFormatter;}, set: function(_){valueFormatter=_;}}, - headerFormatter: {get: function(){return headerFormatter;}, set: function(_){headerFormatter=_;}}, - keyFormatter: {get: function(){return keyFormatter;}, set: function(_){keyFormatter=_;}}, - headerEnabled: {get: function(){return headerEnabled;}, set: function(_){headerEnabled=_;}}, - - // internal use only, set by interactive layer to adjust position. - _isInteractiveLayer: {get: function(){return isInteractiveLayer;}, set: function(_){isInteractiveLayer=!!_;}}, - - // options with extra logic - position: {get: function(){return position;}, set: function(_){ - position.left = _.left !== undefined ? _.left : position.left; - position.top = _.top !== undefined ? _.top : position.top; - }}, - offset: {get: function(){return offset;}, set: function(_){ - offset.left = _.left !== undefined ? _.left : offset.left; - offset.top = _.top !== undefined ? _.top : offset.top; - }}, - hidden: {get: function(){return hidden;}, set: function(_){ - if (hidden != _) { - hidden = !!_; - nvtooltip(); - } - }}, - data: {get: function(){return data;}, set: function(_){ - // if showing a single data point, adjust data format with that - if (_.point) { - _.value = _.point.x; - _.series = _.series || {}; - _.series.value = _.point.y; - _.series.color = _.point.color || _.series.color; - } - data = _; - }}, - - // read only properties - tooltipElem: {get: function(){return tooltipElem;}, set: function(_){}}, - id: {get: function(){return id;}, set: function(_){}} - }); - - nv.utils.initOptions(nvtooltip); - return nvtooltip; - }; - -})(); - - -/* -Gets the browser window size - -Returns object with height and width properties - */ -nv.utils.windowSize = function() { - // Sane defaults - var size = {width: 640, height: 480}; - - // Most recent browsers use - if (window.innerWidth && window.innerHeight) { - size.width = window.innerWidth; - size.height = window.innerHeight; - return (size); - } - - // IE can use depending on mode it is in - if (document.compatMode=='CSS1Compat' && - document.documentElement && - document.documentElement.offsetWidth ) { - - size.width = document.documentElement.offsetWidth; - size.height = document.documentElement.offsetHeight; - return (size); - } - - // Earlier IE uses Doc.body - if (document.body && document.body.offsetWidth) { - size.width = document.body.offsetWidth; - size.height = document.body.offsetHeight; - return (size); - } - - return (size); -}; - -/* -Binds callback function to run when window is resized - */ -nv.utils.windowResize = function(handler) { - if (window.addEventListener) { - window.addEventListener('resize', handler); - } else { - nv.log("ERROR: Failed to bind to window.resize with: ", handler); - } - // return object with clear function to remove the single added callback. - return { - callback: handler, - clear: function() { - window.removeEventListener('resize', handler); - } - } -}; - - -/* -Backwards compatible way to implement more d3-like coloring of graphs. -Can take in nothing, an array, or a function/scale -To use a normal scale, get the range and pass that because we must be able -to take two arguments and use the index to keep backward compatibility -*/ -nv.utils.getColor = function(color) { - //if you pass in nothing, get default colors back - if (color === undefined) { - return nv.utils.defaultColor(); - - //if passed an array, turn it into a color scale - // use isArray, instanceof fails if d3 range is created in an iframe - } else if(Array.isArray(color)) { - var color_scale = d3.scale.ordinal().range(color); - return function(d, i) { - var key = i === undefined ? d : i; - return d.color || color_scale(key); - }; - - //if passed a function or scale, return it, or whatever it may be - //external libs, such as angularjs-nvd3-directives use this - } else { - //can't really help it if someone passes rubbish as color - return color; - } -}; - - -/* -Default color chooser uses a color scale of 20 colors from D3 - https://github.com/mbostock/d3/wiki/Ordinal-Scales#categorical-colors - */ -nv.utils.defaultColor = function() { - // get range of the scale so we'll turn it into our own function. - return nv.utils.getColor(d3.scale.category20().range()); -}; - - -/* -Returns a color function that takes the result of 'getKey' for each series and -looks for a corresponding color from the dictionary -*/ -nv.utils.customTheme = function(dictionary, getKey, defaultColors) { - // use default series.key if getKey is undefined - getKey = getKey || function(series) { return series.key }; - defaultColors = defaultColors || d3.scale.category20().range(); - - // start at end of default color list and walk back to index 0 - var defIndex = defaultColors.length; - - return function(series, index) { - var key = getKey(series); - if (typeof dictionary[key] === 'function') { - return dictionary[key](); - } else if (dictionary[key] !== undefined) { - return dictionary[key]; - } else { - // no match in dictionary, use a default color - if (!defIndex) { - // used all the default colors, start over - defIndex = defaultColors.length; - } - defIndex = defIndex - 1; - return defaultColors[defIndex]; - } - }; -}; - - -/* -From the PJAX example on d3js.org, while this is not really directly needed -it's a very cool method for doing pjax, I may expand upon it a little bit, -open to suggestions on anything that may be useful -*/ -nv.utils.pjax = function(links, content) { - - var load = function(href) { - d3.html(href, function(fragment) { - var target = d3.select(content).node(); - target.parentNode.replaceChild( - d3.select(fragment).select(content).node(), - target); - nv.utils.pjax(links, content); - }); - }; - - d3.selectAll(links).on("click", function() { - history.pushState(this.href, this.textContent, this.href); - load(this.href); - d3.event.preventDefault(); - }); - - d3.select(window).on("popstate", function() { - if (d3.event.state) { - load(d3.event.state); - } - }); -}; - - -/* -For when we want to approximate the width in pixels for an SVG:text element. -Most common instance is when the element is in a display:none; container. -Forumla is : text.length * font-size * constant_factor -*/ -nv.utils.calcApproxTextWidth = function (svgTextElem) { - if (typeof svgTextElem.style === 'function' - && typeof svgTextElem.text === 'function') { - - var fontSize = parseInt(svgTextElem.style("font-size").replace("px",""), 10); - var textLength = svgTextElem.text().length; - return textLength * fontSize * 0.5; - } - return 0; -}; - - -/* -Numbers that are undefined, null or NaN, convert them to zeros. -*/ -nv.utils.NaNtoZero = function(n) { - if (typeof n !== 'number' - || isNaN(n) - || n === null - || n === Infinity - || n === -Infinity) { - - return 0; - } - return n; -}; - -/* -Add a way to watch for d3 transition ends to d3 -*/ -d3.selection.prototype.watchTransition = function(renderWatch){ - var args = [this].concat([].slice.call(arguments, 1)); - return renderWatch.transition.apply(renderWatch, args); -}; - - -/* -Helper object to watch when d3 has rendered something -*/ -nv.utils.renderWatch = function(dispatch, duration) { - if (!(this instanceof nv.utils.renderWatch)) { - return new nv.utils.renderWatch(dispatch, duration); - } - - var _duration = duration !== undefined ? duration : 250; - var renderStack = []; - var self = this; - - this.models = function(models) { - models = [].slice.call(arguments, 0); - models.forEach(function(model){ - model.__rendered = false; - (function(m){ - m.dispatch.on('renderEnd', function(arg){ - m.__rendered = true; - self.renderEnd('model'); - }); - })(model); - - if (renderStack.indexOf(model) < 0) { - renderStack.push(model); - } - }); - return this; - }; - - this.reset = function(duration) { - if (duration !== undefined) { - _duration = duration; - } - renderStack = []; - }; - - this.transition = function(selection, args, duration) { - args = arguments.length > 1 ? [].slice.call(arguments, 1) : []; - - if (args.length > 1) { - duration = args.pop(); - } else { - duration = _duration !== undefined ? _duration : 250; - } - selection.__rendered = false; - - if (renderStack.indexOf(selection) < 0) { - renderStack.push(selection); - } - - if (duration === 0) { - selection.__rendered = true; - selection.delay = function() { return this; }; - selection.duration = function() { return this; }; - return selection; - } else { - if (selection.length === 0) { - selection.__rendered = true; - } else if (selection.every( function(d){ return !d.length; } )) { - selection.__rendered = true; - } else { - selection.__rendered = false; - } - - var n = 0; - return selection - .transition() - .duration(duration) - .each(function(){ ++n; }) - .each('end', function(d, i) { - if (--n === 0) { - selection.__rendered = true; - self.renderEnd.apply(this, args); - } - }); - } - }; - - this.renderEnd = function() { - if (renderStack.every( function(d){ return d.__rendered; } )) { - renderStack.forEach( function(d){ d.__rendered = false; }); - dispatch.renderEnd.apply(this, arguments); - } - } - -}; - - -/* -Takes multiple objects and combines them into the first one (dst) -example: nv.utils.deepExtend({a: 1}, {a: 2, b: 3}, {c: 4}); -gives: {a: 2, b: 3, c: 4} -*/ -nv.utils.deepExtend = function(dst){ - var sources = arguments.length > 1 ? [].slice.call(arguments, 1) : []; - sources.forEach(function(source) { - for (var key in source) { - var isArray = dst[key] instanceof Array; - var isObject = typeof dst[key] === 'object'; - var srcObj = typeof source[key] === 'object'; - - if (isObject && !isArray && srcObj) { - nv.utils.deepExtend(dst[key], source[key]); - } else { - dst[key] = source[key]; - } - } - }); -}; - - -/* -state utility object, used to track d3 states in the models -*/ -nv.utils.state = function(){ - if (!(this instanceof nv.utils.state)) { - return new nv.utils.state(); - } - var state = {}; - var _self = this; - var _setState = function(){}; - var _getState = function(){ return {}; }; - var init = null; - var changed = null; - - this.dispatch = d3.dispatch('change', 'set'); - - this.dispatch.on('set', function(state){ - _setState(state, true); - }); - - this.getter = function(fn){ - _getState = fn; - return this; - }; - - this.setter = function(fn, callback) { - if (!callback) { - callback = function(){}; - } - _setState = function(state, update){ - fn(state); - if (update) { - callback(); - } - }; - return this; - }; - - this.init = function(state){ - init = init || {}; - nv.utils.deepExtend(init, state); - }; - - var _set = function(){ - var settings = _getState(); - - if (JSON.stringify(settings) === JSON.stringify(state)) { - return false; - } - - for (var key in settings) { - if (state[key] === undefined) { - state[key] = {}; - } - state[key] = settings[key]; - changed = true; - } - return true; - }; - - this.update = function(){ - if (init) { - _setState(init, false); - init = null; - } - if (_set.call(this)) { - this.dispatch.change(state); - } - }; - -}; - - -/* -Snippet of code you can insert into each nv.models.* to give you the ability to -do things like: -chart.options({ - showXAxis: true, - tooltips: true -}); - -To enable in the chart: -chart.options = nv.utils.optionsFunc.bind(chart); -*/ -nv.utils.optionsFunc = function(args) { - if (args) { - d3.map(args).forEach((function(key,value) { - if (typeof this[key] === "function") { - this[key](value); - } - }).bind(this)); - } - return this; -}; - - -/* -numTicks: requested number of ticks -data: the chart data - -returns the number of ticks to actually use on X axis, based on chart data -to avoid duplicate ticks with the same value -*/ -nv.utils.calcTicksX = function(numTicks, data) { - // find max number of values from all data streams - var numValues = 1; - var i = 0; - for (i; i < data.length; i += 1) { - var stream_len = data[i] && data[i].values ? data[i].values.length : 0; - numValues = stream_len > numValues ? stream_len : numValues; - } - nv.log("Requested number of ticks: ", numTicks); - nv.log("Calculated max values to be: ", numValues); - // make sure we don't have more ticks than values to avoid duplicates - numTicks = numTicks > numValues ? numTicks = numValues - 1 : numTicks; - // make sure we have at least one tick - numTicks = numTicks < 1 ? 1 : numTicks; - // make sure it's an integer - numTicks = Math.floor(numTicks); - nv.log("Calculating tick count as: ", numTicks); - return numTicks; -}; - - -/* -returns number of ticks to actually use on Y axis, based on chart data -*/ -nv.utils.calcTicksY = function(numTicks, data) { - // currently uses the same logic but we can adjust here if needed later - return nv.utils.calcTicksX(numTicks, data); -}; - - -/* -Add a particular option from an options object onto chart -Options exposed on a chart are a getter/setter function that returns chart -on set to mimic typical d3 option chaining, e.g. svg.option1('a').option2('b'); - -option objects should be generated via Object.create() to provide -the option of manipulating data via get/set functions. -*/ -nv.utils.initOption = function(chart, name) { - // if it's a call option, just call it directly, otherwise do get/set - if (chart._calls && chart._calls[name]) { - chart[name] = chart._calls[name]; - } else { - chart[name] = function (_) { - if (!arguments.length) return chart._options[name]; - chart._overrides[name] = true; - chart._options[name] = _; - return chart; - }; - // calling the option as _option will ignore if set by option already - // so nvd3 can set options internally but the stop if set manually - chart['_' + name] = function(_) { - if (!arguments.length) return chart._options[name]; - if (!chart._overrides[name]) { - chart._options[name] = _; - } - return chart; - } - } -}; - - -/* -Add all options in an options object to the chart -*/ -nv.utils.initOptions = function(chart) { - chart._overrides = chart._overrides || {}; - var ops = Object.getOwnPropertyNames(chart._options || {}); - var calls = Object.getOwnPropertyNames(chart._calls || {}); - ops = ops.concat(calls); - for (var i in ops) { - nv.utils.initOption(chart, ops[i]); - } -}; - - -/* -Inherit options from a D3 object -d3.rebind makes calling the function on target actually call it on source -Also use _d3options so we can track what we inherit for documentation and chained inheritance -*/ -nv.utils.inheritOptionsD3 = function(target, d3_source, oplist) { - target._d3options = oplist.concat(target._d3options || []); - oplist.unshift(d3_source); - oplist.unshift(target); - d3.rebind.apply(this, oplist); -}; - - -/* -Remove duplicates from an array -*/ -nv.utils.arrayUnique = function(a) { - return a.sort().filter(function(item, pos) { - return !pos || item != a[pos - 1]; - }); -}; - - -/* -Keeps a list of custom symbols to draw from in addition to d3.svg.symbol -Necessary since d3 doesn't let you extend its list -_- -Add new symbols by doing nv.utils.symbols.set('name', function(size){...}); -*/ -nv.utils.symbolMap = d3.map(); - - -/* -Replaces d3.svg.symbol so that we can look both there and our own map - */ -nv.utils.symbol = function() { - var type, - size = 64; - function symbol(d,i) { - var t = type.call(this,d,i); - var s = size.call(this,d,i); - if (d3.svg.symbolTypes.indexOf(t) !== -1) { - return d3.svg.symbol().type(t).size(s)(); - } else { - return nv.utils.symbolMap.get(t)(s); - } - } - symbol.type = function(_) { - if (!arguments.length) return type; - type = d3.functor(_); - return symbol; - }; - symbol.size = function(_) { - if (!arguments.length) return size; - size = d3.functor(_); - return symbol; - }; - return symbol; -}; - - -/* -Inherit option getter/setter functions from source to target -d3.rebind makes calling the function on target actually call it on source -Also track via _inherited and _d3options so we can track what we inherit -for documentation generation purposes and chained inheritance -*/ -nv.utils.inheritOptions = function(target, source) { - // inherit all the things - var ops = Object.getOwnPropertyNames(source._options || {}); - var calls = Object.getOwnPropertyNames(source._calls || {}); - var inherited = source._inherited || []; - var d3ops = source._d3options || []; - var args = ops.concat(calls).concat(inherited).concat(d3ops); - args.unshift(source); - args.unshift(target); - d3.rebind.apply(this, args); - // pass along the lists to keep track of them, don't allow duplicates - target._inherited = nv.utils.arrayUnique(ops.concat(calls).concat(inherited).concat(ops).concat(target._inherited || [])); - target._d3options = nv.utils.arrayUnique(d3ops.concat(target._d3options || [])); -}; - - -/* -Runs common initialize code on the svg before the chart builds -*/ -nv.utils.initSVG = function(svg) { - svg.classed({'nvd3-svg':true}); -}; - - -/* -Sanitize and provide default for the container height. -*/ -nv.utils.sanitizeHeight = function(height, container) { - return (height || parseInt(container.style('height'), 10) || 400); -}; - - -/* -Sanitize and provide default for the container width. -*/ -nv.utils.sanitizeWidth = function(width, container) { - return (width || parseInt(container.style('width'), 10) || 960); -}; - - -/* -Calculate the available height for a chart. -*/ -nv.utils.availableHeight = function(height, container, margin) { - return nv.utils.sanitizeHeight(height, container) - margin.top - margin.bottom; -}; - -/* -Calculate the available width for a chart. -*/ -nv.utils.availableWidth = function(width, container, margin) { - return nv.utils.sanitizeWidth(width, container) - margin.left - margin.right; -}; - -/* -Clear any rendered chart components and display a chart's 'noData' message -*/ -nv.utils.noData = function(chart, container) { - var opt = chart.options(), - margin = opt.margin(), - noData = opt.noData(), - data = (noData == null) ? ["No Data Available."] : [noData], - height = nv.utils.availableHeight(opt.height(), container, margin), - width = nv.utils.availableWidth(opt.width(), container, margin), - x = margin.left + width/2, - y = margin.top + height/2; - - //Remove any previously created chart components - container.selectAll('g').remove(); - - var noDataText = container.selectAll('.nv-noData').data(data); - - noDataText.enter().append('text') - .attr('class', 'nvd3 nv-noData') - .attr('dy', '-.7em') - .style('text-anchor', 'middle'); - - noDataText - .attr('x', x) - .attr('y', y) - .text(function(t){ return t; }); -}; - -nv.models.axis = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var axis = d3.svg.axis(); - var scale = d3.scale.linear(); - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = 75 //only used for tickLabel currently - , height = 60 //only used for tickLabel currently - , axisLabelText = null - , showMaxMin = false //TODO: showMaxMin should be disabled on all ordinal scaled axes - , rotateLabels = 0 - , rotateYLabel = true - , staggerLabels = false - , isOrdinal = false - , ticks = null - , axisLabelDistance = 0 - , duration = 250 - , dispatch = d3.dispatch('renderEnd') - ; - axis - .scale(scale) - .orient('bottom') - .tickFormat(function(d) { return d }) - ; - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var scale0; - var renderWatch = nv.utils.renderWatch(dispatch, duration); - - function chart(selection) { - renderWatch.reset(); - selection.each(function(data) { - var container = d3.select(this); - nv.utils.initSVG(container); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-axis').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-axis'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - if (ticks !== null) - axis.ticks(ticks); - else if (axis.orient() == 'top' || axis.orient() == 'bottom') - axis.ticks(Math.abs(scale.range()[1] - scale.range()[0]) / 100); - - //TODO: consider calculating width/height based on whether or not label is added, for reference in charts using this component - g.watchTransition(renderWatch, 'axis').call(axis); - - scale0 = scale0 || axis.scale(); - - var fmt = axis.tickFormat(); - if (fmt == null) { - fmt = scale0.tickFormat(); - } - - var axisLabel = g.selectAll('text.nv-axislabel') - .data([axisLabelText || null]); - axisLabel.exit().remove(); - - var xLabelMargin; - var axisMaxMin; - var w; - switch (axis.orient()) { - case 'top': - axisLabel.enter().append('text').attr('class', 'nv-axislabel'); - if (scale.range().length < 2) { - w = 0; - } else if (scale.range().length === 2) { - w = scale.range()[1]; - } else { - w = scale.range()[scale.range().length-1]+(scale.range()[1]-scale.range()[0]); - } - axisLabel - .attr('text-anchor', 'middle') - .attr('y', 0) - .attr('x', w/2); - if (showMaxMin) { - axisMaxMin = wrap.selectAll('g.nv-axisMaxMin') - .data(scale.domain()); - axisMaxMin.enter().append('g').attr('class',function(d,i){ - return ['nv-axisMaxMin','nv-axisMaxMin-x',(i == 0 ? 'nv-axisMin-x':'nv-axisMax-x')].join(' ') - }).append('text'); - axisMaxMin.exit().remove(); - axisMaxMin - .attr('transform', function(d,i) { - return 'translate(' + nv.utils.NaNtoZero(scale(d)) + ',0)' - }) - .select('text') - .attr('dy', '-0.5em') - .attr('y', -axis.tickPadding()) - .attr('text-anchor', 'middle') - .text(function(d,i) { - var v = fmt(d); - return ('' + v).match('NaN') ? '' : v; - }); - axisMaxMin.watchTransition(renderWatch, 'min-max top') - .attr('transform', function(d,i) { - return 'translate(' + nv.utils.NaNtoZero(scale.range()[i]) + ',0)' - }); - } - break; - case 'bottom': - xLabelMargin = axisLabelDistance + 36; - var maxTextWidth = 30; - var textHeight = 0; - var xTicks = g.selectAll('g').select("text"); - var rotateLabelsRule = ''; - if (rotateLabels%360) { - //Calculate the longest xTick width - xTicks.each(function(d,i){ - var box = this.getBoundingClientRect(); - var width = box.width; - textHeight = box.height; - if(width > maxTextWidth) maxTextWidth = width; - }); - rotateLabelsRule = 'rotate(' + rotateLabels + ' 0,' + (textHeight/2 + axis.tickPadding()) + ')'; - //Convert to radians before calculating sin. Add 30 to margin for healthy padding. - var sin = Math.abs(Math.sin(rotateLabels*Math.PI/180)); - xLabelMargin = (sin ? sin*maxTextWidth : maxTextWidth)+30; - //Rotate all xTicks - xTicks - .attr('transform', rotateLabelsRule) - .style('text-anchor', rotateLabels%360 > 0 ? 'start' : 'end'); - } - axisLabel.enter().append('text').attr('class', 'nv-axislabel'); - if (scale.range().length < 2) { - w = 0; - } else if (scale.range().length === 2) { - w = scale.range()[1]; - } else { - w = scale.range()[scale.range().length-1]+(scale.range()[1]-scale.range()[0]); - } - axisLabel - .attr('text-anchor', 'middle') - .attr('y', xLabelMargin) - .attr('x', w/2); - if (showMaxMin) { - //if (showMaxMin && !isOrdinal) { - axisMaxMin = wrap.selectAll('g.nv-axisMaxMin') - //.data(scale.domain()) - .data([scale.domain()[0], scale.domain()[scale.domain().length - 1]]); - axisMaxMin.enter().append('g').attr('class',function(d,i){ - return ['nv-axisMaxMin','nv-axisMaxMin-x',(i == 0 ? 'nv-axisMin-x':'nv-axisMax-x')].join(' ') - }).append('text'); - axisMaxMin.exit().remove(); - axisMaxMin - .attr('transform', function(d,i) { - return 'translate(' + nv.utils.NaNtoZero((scale(d) + (isOrdinal ? scale.rangeBand() / 2 : 0))) + ',0)' - }) - .select('text') - .attr('dy', '.71em') - .attr('y', axis.tickPadding()) - .attr('transform', rotateLabelsRule) - .style('text-anchor', rotateLabels ? (rotateLabels%360 > 0 ? 'start' : 'end') : 'middle') - .text(function(d,i) { - var v = fmt(d); - return ('' + v).match('NaN') ? '' : v; - }); - axisMaxMin.watchTransition(renderWatch, 'min-max bottom') - .attr('transform', function(d,i) { - return 'translate(' + nv.utils.NaNtoZero((scale(d) + (isOrdinal ? scale.rangeBand() / 2 : 0))) + ',0)' - }); - } - if (staggerLabels) - xTicks - .attr('transform', function(d,i) { - return 'translate(0,' + (i % 2 == 0 ? '0' : '12') + ')' - }); - - break; - case 'right': - axisLabel.enter().append('text').attr('class', 'nv-axislabel'); - axisLabel - .style('text-anchor', rotateYLabel ? 'middle' : 'begin') - .attr('transform', rotateYLabel ? 'rotate(90)' : '') - .attr('y', rotateYLabel ? (-Math.max(margin.right, width) + 12) : -10) //TODO: consider calculating this based on largest tick width... OR at least expose this on chart - .attr('x', rotateYLabel ? (d3.max(scale.range()) / 2) : axis.tickPadding()); - if (showMaxMin) { - axisMaxMin = wrap.selectAll('g.nv-axisMaxMin') - .data(scale.domain()); - axisMaxMin.enter().append('g').attr('class',function(d,i){ - return ['nv-axisMaxMin','nv-axisMaxMin-y',(i == 0 ? 'nv-axisMin-y':'nv-axisMax-y')].join(' ') - }).append('text') - .style('opacity', 0); - axisMaxMin.exit().remove(); - axisMaxMin - .attr('transform', function(d,i) { - return 'translate(0,' + nv.utils.NaNtoZero(scale(d)) + ')' - }) - .select('text') - .attr('dy', '.32em') - .attr('y', 0) - .attr('x', axis.tickPadding()) - .style('text-anchor', 'start') - .text(function(d, i) { - var v = fmt(d); - return ('' + v).match('NaN') ? '' : v; - }); - axisMaxMin.watchTransition(renderWatch, 'min-max right') - .attr('transform', function(d,i) { - return 'translate(0,' + nv.utils.NaNtoZero(scale.range()[i]) + ')' - }) - .select('text') - .style('opacity', 1); - } - break; - case 'left': - /* - //For dynamically placing the label. Can be used with dynamically-sized chart axis margins - var yTicks = g.selectAll('g').select("text"); - yTicks.each(function(d,i){ - var labelPadding = this.getBoundingClientRect().width + axis.tickPadding() + 16; - if(labelPadding > width) width = labelPadding; - }); - */ - axisLabel.enter().append('text').attr('class', 'nv-axislabel'); - axisLabel - .style('text-anchor', rotateYLabel ? 'middle' : 'end') - .attr('transform', rotateYLabel ? 'rotate(-90)' : '') - .attr('y', rotateYLabel ? (-Math.max(margin.left, width) + 25 - (axisLabelDistance || 0)) : -10) - .attr('x', rotateYLabel ? (-d3.max(scale.range()) / 2) : -axis.tickPadding()); - if (showMaxMin) { - axisMaxMin = wrap.selectAll('g.nv-axisMaxMin') - .data(scale.domain()); - axisMaxMin.enter().append('g').attr('class',function(d,i){ - return ['nv-axisMaxMin','nv-axisMaxMin-y',(i == 0 ? 'nv-axisMin-y':'nv-axisMax-y')].join(' ') - }).append('text') - .style('opacity', 0); - axisMaxMin.exit().remove(); - axisMaxMin - .attr('transform', function(d,i) { - return 'translate(0,' + nv.utils.NaNtoZero(scale0(d)) + ')' - }) - .select('text') - .attr('dy', '.32em') - .attr('y', 0) - .attr('x', -axis.tickPadding()) - .attr('text-anchor', 'end') - .text(function(d,i) { - var v = fmt(d); - return ('' + v).match('NaN') ? '' : v; - }); - axisMaxMin.watchTransition(renderWatch, 'min-max right') - .attr('transform', function(d,i) { - return 'translate(0,' + nv.utils.NaNtoZero(scale.range()[i]) + ')' - }) - .select('text') - .style('opacity', 1); - } - break; - } - axisLabel.text(function(d) { return d }); - - if (showMaxMin && (axis.orient() === 'left' || axis.orient() === 'right')) { - //check if max and min overlap other values, if so, hide the values that overlap - g.selectAll('g') // the g's wrapping each tick - .each(function(d,i) { - d3.select(this).select('text').attr('opacity', 1); - if (scale(d) < scale.range()[1] + 10 || scale(d) > scale.range()[0] - 10) { // 10 is assuming text height is 16... if d is 0, leave it! - if (d > 1e-10 || d < -1e-10) // accounts for minor floating point errors... though could be problematic if the scale is EXTREMELY SMALL - d3.select(this).attr('opacity', 0); - - d3.select(this).select('text').attr('opacity', 0); // Don't remove the ZERO line!! - } - }); - - //if Max and Min = 0 only show min, Issue #281 - if (scale.domain()[0] == scale.domain()[1] && scale.domain()[0] == 0) { - wrap.selectAll('g.nv-axisMaxMin').style('opacity', function (d, i) { - return !i ? 1 : 0 - }); - } - } - - if (showMaxMin && (axis.orient() === 'top' || axis.orient() === 'bottom')) { - var maxMinRange = []; - wrap.selectAll('g.nv-axisMaxMin') - .each(function(d,i) { - try { - if (i) // i== 1, max position - maxMinRange.push(scale(d) - this.getBoundingClientRect().width - 4); //assuming the max and min labels are as wide as the next tick (with an extra 4 pixels just in case) - else // i==0, min position - maxMinRange.push(scale(d) + this.getBoundingClientRect().width + 4) - }catch (err) { - if (i) // i== 1, max position - maxMinRange.push(scale(d) - 4); //assuming the max and min labels are as wide as the next tick (with an extra 4 pixels just in case) - else // i==0, min position - maxMinRange.push(scale(d) + 4); - } - }); - // the g's wrapping each tick - g.selectAll('g').each(function(d, i) { - if (scale(d) < maxMinRange[0] || scale(d) > maxMinRange[1]) { - if (d > 1e-10 || d < -1e-10) // accounts for minor floating point errors... though could be problematic if the scale is EXTREMELY SMALL - d3.select(this).remove(); - else - d3.select(this).select('text').remove(); // Don't remove the ZERO line!! - } - }); - } - - //Highlight zero tick line - g.selectAll('.tick') - .filter(function (d) { - /* - The filter needs to return only ticks at or near zero. - Numbers like 0.00001 need to count as zero as well, - and the arithmetic trick below solves that. - */ - return !parseFloat(Math.round(d * 100000) / 1000000) && (d !== undefined) - }) - .classed('zero', true); - - //store old scales for use in transitions on update - scale0 = scale.copy(); - - }); - - renderWatch.renderEnd('axis immediate'); - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.axis = axis; - chart.dispatch = dispatch; - - chart.options = nv.utils.optionsFunc.bind(chart); - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - axisLabelDistance: {get: function(){return axisLabelDistance;}, set: function(_){axisLabelDistance=_;}}, - staggerLabels: {get: function(){return staggerLabels;}, set: function(_){staggerLabels=_;}}, - rotateLabels: {get: function(){return rotateLabels;}, set: function(_){rotateLabels=_;}}, - rotateYLabel: {get: function(){return rotateYLabel;}, set: function(_){rotateYLabel=_;}}, - showMaxMin: {get: function(){return showMaxMin;}, set: function(_){showMaxMin=_;}}, - axisLabel: {get: function(){return axisLabelText;}, set: function(_){axisLabelText=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - ticks: {get: function(){return ticks;}, set: function(_){ticks=_;}}, - width: {get: function(){return width;}, set: function(_){width=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration=_; - renderWatch.reset(duration); - }}, - scale: {get: function(){return scale;}, set: function(_){ - scale = _; - axis.scale(scale); - isOrdinal = typeof scale.rangeBands === 'function'; - nv.utils.inheritOptionsD3(chart, scale, ['domain', 'range', 'rangeBand', 'rangeBands']); - }} - }); - - nv.utils.initOptions(chart); - nv.utils.inheritOptionsD3(chart, axis, ['orient', 'tickValues', 'tickSubdivide', 'tickSize', 'tickPadding', 'tickFormat']); - nv.utils.inheritOptionsD3(chart, scale, ['domain', 'range', 'rangeBand', 'rangeBands']); - - return chart; -}; -nv.models.boxPlot = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = 960 - , height = 500 - , id = Math.floor(Math.random() * 10000) //Create semi-unique ID in case user doesn't select one - , x = d3.scale.ordinal() - , y = d3.scale.linear() - , getX = function(d) { return d.x } - , getY = function(d) { return d.y } - , color = nv.utils.defaultColor() - , container = null - , xDomain - , yDomain - , xRange - , yRange - , dispatch = d3.dispatch('elementMouseover', 'elementMouseout', 'elementMousemove', 'renderEnd') - , duration = 250 - , maxBoxWidth = null - ; - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var x0, y0; - var renderWatch = nv.utils.renderWatch(dispatch, duration); - - function chart(selection) { - renderWatch.reset(); - selection.each(function(data) { - var availableWidth = width - margin.left - margin.right, - availableHeight = height - margin.top - margin.bottom; - - container = d3.select(this); - nv.utils.initSVG(container); - - // Setup Scales - x .domain(xDomain || data.map(function(d,i) { return getX(d,i); })) - .rangeBands(xRange || [0, availableWidth], .1); - - // if we know yDomain, no need to calculate - var yData = [] - if (!yDomain) { - // (y-range is based on quartiles, whiskers and outliers) - - // lower values - var yMin = d3.min(data.map(function(d) { - var min_arr = []; - - min_arr.push(d.values.Q1); - if (d.values.hasOwnProperty('whisker_low') && d.values.whisker_low !== null) { min_arr.push(d.values.whisker_low); } - if (d.values.hasOwnProperty('outliers') && d.values.outliers !== null) { min_arr = min_arr.concat(d.values.outliers); } - - return d3.min(min_arr); - })); - - // upper values - var yMax = d3.max(data.map(function(d) { - var max_arr = []; - - max_arr.push(d.values.Q3); - if (d.values.hasOwnProperty('whisker_high') && d.values.whisker_high !== null) { max_arr.push(d.values.whisker_high); } - if (d.values.hasOwnProperty('outliers') && d.values.outliers !== null) { max_arr = max_arr.concat(d.values.outliers); } - - return d3.max(max_arr); - })); - - yData = [ yMin, yMax ] ; - } - - y.domain(yDomain || yData); - y.range(yRange || [availableHeight, 0]); - - //store old scales if they exist - x0 = x0 || x; - y0 = y0 || y.copy().range([y(0),y(0)]); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap'); - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - var boxplots = wrap.selectAll('.nv-boxplot').data(function(d) { return d }); - var boxEnter = boxplots.enter().append('g').style('stroke-opacity', 1e-6).style('fill-opacity', 1e-6); - boxplots - .attr('class', 'nv-boxplot') - .attr('transform', function(d,i,j) { return 'translate(' + (x(getX(d,i)) + x.rangeBand() * .05) + ', 0)'; }) - .classed('hover', function(d) { return d.hover }); - boxplots - .watchTransition(renderWatch, 'nv-boxplot: boxplots') - .style('stroke-opacity', 1) - .style('fill-opacity', .75) - .delay(function(d,i) { return i * duration / data.length }) - .attr('transform', function(d,i) { - return 'translate(' + (x(getX(d,i)) + x.rangeBand() * .05) + ', 0)'; - }); - boxplots.exit().remove(); - - // ----- add the SVG elements for each boxPlot ----- - - // conditionally append whisker lines - boxEnter.each(function(d,i) { - var box = d3.select(this); - - ['low', 'high'].forEach(function(key) { - if (d.values.hasOwnProperty('whisker_' + key) && d.values['whisker_' + key] !== null) { - box.append('line') - .style('stroke', (d.color) ? d.color : color(d,i)) - .attr('class', 'nv-boxplot-whisker nv-boxplot-' + key); - - box.append('line') - .style('stroke', (d.color) ? d.color : color(d,i)) - .attr('class', 'nv-boxplot-tick nv-boxplot-' + key); - } - }); - }); - - // outliers - // TODO: support custom colors here - var outliers = boxplots.selectAll('.nv-boxplot-outlier').data(function(d) { - if (d.values.hasOwnProperty('outliers') && d.values.outliers !== null) { return d.values.outliers; } - else { return []; } - }); - outliers.enter().append('circle') - .style('fill', function(d,i,j) { return color(d,j) }).style('stroke', function(d,i,j) { return color(d,j) }) - .on('mouseover', function(d,i,j) { - d3.select(this).classed('hover', true); - dispatch.elementMouseover({ - series: { key: d, color: color(d,j) }, - e: d3.event - }); - }) - .on('mouseout', function(d,i,j) { - d3.select(this).classed('hover', false); - dispatch.elementMouseout({ - series: { key: d, color: color(d,j) }, - e: d3.event - }); - }) - .on('mousemove', function(d,i) { - dispatch.elementMousemove({e: d3.event}); - }); - - outliers.attr('class', 'nv-boxplot-outlier'); - outliers - .watchTransition(renderWatch, 'nv-boxplot: nv-boxplot-outlier') - .attr('cx', x.rangeBand() * .45) - .attr('cy', function(d,i,j) { return y(d); }) - .attr('r', '3'); - outliers.exit().remove(); - - var box_width = function() { return (maxBoxWidth === null ? x.rangeBand() * .9 : Math.min(75, x.rangeBand() * .9)); }; - var box_left = function() { return x.rangeBand() * .45 - box_width()/2; }; - var box_right = function() { return x.rangeBand() * .45 + box_width()/2; }; - - // update whisker lines and ticks - ['low', 'high'].forEach(function(key) { - var endpoint = (key === 'low') ? 'Q1' : 'Q3'; - - boxplots.select('line.nv-boxplot-whisker.nv-boxplot-' + key) - .watchTransition(renderWatch, 'nv-boxplot: boxplots') - .attr('x1', x.rangeBand() * .45 ) - .attr('y1', function(d,i) { return y(d.values['whisker_' + key]); }) - .attr('x2', x.rangeBand() * .45 ) - .attr('y2', function(d,i) { return y(d.values[endpoint]); }); - - boxplots.select('line.nv-boxplot-tick.nv-boxplot-' + key) - .watchTransition(renderWatch, 'nv-boxplot: boxplots') - .attr('x1', box_left ) - .attr('y1', function(d,i) { return y(d.values['whisker_' + key]); }) - .attr('x2', box_right ) - .attr('y2', function(d,i) { return y(d.values['whisker_' + key]); }); - }); - - ['low', 'high'].forEach(function(key) { - boxEnter.selectAll('.nv-boxplot-' + key) - .on('mouseover', function(d,i,j) { - d3.select(this).classed('hover', true); - dispatch.elementMouseover({ - series: { key: d.values['whisker_' + key], color: color(d,j) }, - e: d3.event - }); - }) - .on('mouseout', function(d,i,j) { - d3.select(this).classed('hover', false); - dispatch.elementMouseout({ - series: { key: d.values['whisker_' + key], color: color(d,j) }, - e: d3.event - }); - }) - .on('mousemove', function(d,i) { - dispatch.elementMousemove({e: d3.event}); - }); - }); - - // boxes - boxEnter.append('rect') - .attr('class', 'nv-boxplot-box') - // tooltip events - .on('mouseover', function(d,i) { - d3.select(this).classed('hover', true); - dispatch.elementMouseover({ - key: d.label, - value: d.label, - series: [ - { key: 'Q3', value: d.values.Q3, color: d.color || color(d,i) }, - { key: 'Q2', value: d.values.Q2, color: d.color || color(d,i) }, - { key: 'Q1', value: d.values.Q1, color: d.color || color(d,i) } - ], - data: d, - index: i, - e: d3.event - }); - }) - .on('mouseout', function(d,i) { - d3.select(this).classed('hover', false); - dispatch.elementMouseout({ - key: d.label, - value: d.label, - series: [ - { key: 'Q3', value: d.values.Q3, color: d.color || color(d,i) }, - { key: 'Q2', value: d.values.Q2, color: d.color || color(d,i) }, - { key: 'Q1', value: d.values.Q1, color: d.color || color(d,i) } - ], - data: d, - index: i, - e: d3.event - }); - }) - .on('mousemove', function(d,i) { - dispatch.elementMousemove({e: d3.event}); - }); - - // box transitions - boxplots.select('rect.nv-boxplot-box') - .watchTransition(renderWatch, 'nv-boxplot: boxes') - .attr('y', function(d,i) { return y(d.values.Q3); }) - .attr('width', box_width) - .attr('x', box_left ) - - .attr('height', function(d,i) { return Math.abs(y(d.values.Q3) - y(d.values.Q1)) || 1 }) - .style('fill', function(d,i) { return d.color || color(d,i) }) - .style('stroke', function(d,i) { return d.color || color(d,i) }); - - // median line - boxEnter.append('line').attr('class', 'nv-boxplot-median'); - - boxplots.select('line.nv-boxplot-median') - .watchTransition(renderWatch, 'nv-boxplot: boxplots line') - .attr('x1', box_left) - .attr('y1', function(d,i) { return y(d.values.Q2); }) - .attr('x2', box_right) - .attr('y2', function(d,i) { return y(d.values.Q2); }); - - //store old scales for use in transitions on update - x0 = x.copy(); - y0 = y.copy(); - }); - - renderWatch.renderEnd('nv-boxplot immediate'); - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - maxBoxWidth: {get: function(){return maxBoxWidth;}, set: function(_){maxBoxWidth=_;}}, - x: {get: function(){return getX;}, set: function(_){getX=_;}}, - y: {get: function(){return getY;}, set: function(_){getY=_;}}, - xScale: {get: function(){return x;}, set: function(_){x=_;}}, - yScale: {get: function(){return y;}, set: function(_){y=_;}}, - xDomain: {get: function(){return xDomain;}, set: function(_){xDomain=_;}}, - yDomain: {get: function(){return yDomain;}, set: function(_){yDomain=_;}}, - xRange: {get: function(){return xRange;}, set: function(_){xRange=_;}}, - yRange: {get: function(){return yRange;}, set: function(_){yRange=_;}}, - id: {get: function(){return id;}, set: function(_){id=_;}}, - // rectClass: {get: function(){return rectClass;}, set: function(_){rectClass=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - }} - }); - - nv.utils.initOptions(chart); - - return chart; -}; -nv.models.boxPlotChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var boxplot = nv.models.boxPlot() - , xAxis = nv.models.axis() - , yAxis = nv.models.axis() - ; - - var margin = {top: 15, right: 10, bottom: 50, left: 60} - , width = null - , height = null - , color = nv.utils.getColor() - , showXAxis = true - , showYAxis = true - , rightAlignYAxis = false - , staggerLabels = false - , tooltip = nv.models.tooltip() - , x - , y - , noData = "No Data Available." - , dispatch = d3.dispatch('tooltipShow', 'tooltipHide', 'beforeUpdate', 'renderEnd') - , duration = 250 - ; - - xAxis - .orient('bottom') - .showMaxMin(false) - .tickFormat(function(d) { return d }) - ; - yAxis - .orient((rightAlignYAxis) ? 'right' : 'left') - .tickFormat(d3.format(',.1f')) - ; - - tooltip.duration(0); - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var renderWatch = nv.utils.renderWatch(dispatch, duration); - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(boxplot); - if (showXAxis) renderWatch.models(xAxis); - if (showYAxis) renderWatch.models(yAxis); - - selection.each(function(data) { - var container = d3.select(this), - that = this; - nv.utils.initSVG(container); - var availableWidth = (width || parseInt(container.style('width')) || 960) - - margin.left - margin.right, - availableHeight = (height || parseInt(container.style('height')) || 400) - - margin.top - margin.bottom; - - chart.update = function() { - dispatch.beforeUpdate(); - container.transition().duration(duration).call(chart); - }; - chart.container = this; - - // Display No Data message if there's nothing to show. (quartiles required at minimum) - if (!data || !data.length || - !data.filter(function(d) { return d.values.hasOwnProperty("Q1") && d.values.hasOwnProperty("Q2") && d.values.hasOwnProperty("Q3"); }).length) { - var noDataText = container.selectAll('.nv-noData').data([noData]); - - noDataText.enter().append('text') - .attr('class', 'nvd3 nv-noData') - .attr('dy', '-.7em') - .style('text-anchor', 'middle'); - - noDataText - .attr('x', margin.left + availableWidth / 2) - .attr('y', margin.top + availableHeight / 2) - .text(function(d) { return d }); - - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup Scales - x = boxplot.xScale(); - y = boxplot.yScale().clamp(true); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-boxPlotWithAxes').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-boxPlotWithAxes').append('g'); - var defsEnter = gEnter.append('defs'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-x nv-axis'); - gEnter.append('g').attr('class', 'nv-y nv-axis') - .append('g').attr('class', 'nv-zeroLine') - .append('line'); - - gEnter.append('g').attr('class', 'nv-barsWrap'); - - g.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - if (rightAlignYAxis) { - g.select(".nv-y.nv-axis") - .attr("transform", "translate(" + availableWidth + ",0)"); - } - - // Main Chart Component(s) - boxplot - .width(availableWidth) - .height(availableHeight); - - var barsWrap = g.select('.nv-barsWrap') - .datum(data.filter(function(d) { return !d.disabled })) - - barsWrap.transition().call(boxplot); - - - defsEnter.append('clipPath') - .attr('id', 'nv-x-label-clip-' + boxplot.id()) - .append('rect'); - - g.select('#nv-x-label-clip-' + boxplot.id() + ' rect') - .attr('width', x.rangeBand() * (staggerLabels ? 2 : 1)) - .attr('height', 16) - .attr('x', -x.rangeBand() / (staggerLabels ? 1 : 2 )); - - // Setup Axes - if (showXAxis) { - xAxis - .scale(x) - .ticks( nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize(-availableHeight, 0); - - g.select('.nv-x.nv-axis').attr('transform', 'translate(0,' + y.range()[0] + ')'); - g.select('.nv-x.nv-axis').call(xAxis); - - var xTicks = g.select('.nv-x.nv-axis').selectAll('g'); - if (staggerLabels) { - xTicks - .selectAll('text') - .attr('transform', function(d,i,j) { return 'translate(0,' + (j % 2 == 0 ? '5' : '17') + ')' }) - } - } - - if (showYAxis) { - yAxis - .scale(y) - .ticks( Math.floor(availableHeight/36) ) // can't use nv.utils.calcTicksY with Object data - .tickSize( -availableWidth, 0); - - g.select('.nv-y.nv-axis').call(yAxis); - } - - // Zero line - g.select(".nv-zeroLine line") - .attr("x1",0) - .attr("x2",availableWidth) - .attr("y1", y(0)) - .attr("y2", y(0)) - ; - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - }); - - renderWatch.renderEnd('nv-boxplot chart immediate'); - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - boxplot.dispatch.on('elementMouseover.tooltip', function(evt) { - tooltip.data(evt).hidden(false); - }); - - boxplot.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.data(evt).hidden(true); - }); - - boxplot.dispatch.on('elementMousemove.tooltip', function(evt) { - tooltip.position({top: d3.event.pageY, left: d3.event.pageX})(); - }); - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.boxplot = boxplot; - chart.xAxis = xAxis; - chart.yAxis = yAxis; - chart.tooltip = tooltip; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - staggerLabels: {get: function(){return staggerLabels;}, set: function(_){staggerLabels=_;}}, - showXAxis: {get: function(){return showXAxis;}, set: function(_){showXAxis=_;}}, - showYAxis: {get: function(){return showYAxis;}, set: function(_){showYAxis=_;}}, - tooltips: {get: function(){return tooltips;}, set: function(_){tooltips=_;}}, - tooltipContent: {get: function(){return tooltip;}, set: function(_){tooltip=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - boxplot.duration(duration); - xAxis.duration(duration); - yAxis.duration(duration); - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - boxplot.color(color); - }}, - rightAlignYAxis: {get: function(){return rightAlignYAxis;}, set: function(_){ - rightAlignYAxis = _; - yAxis.orient( (_) ? 'right' : 'left'); - }} - }); - - nv.utils.inheritOptions(chart, boxplot); - nv.utils.initOptions(chart); - - return chart; -} -// Chart design based on the recommendations of Stephen Few. Implementation -// based on the work of Clint Ivy, Jamie Love, and Jason Davies. -// http://projects.instantcognition.com/protovis/bulletchart/ - -nv.models.bullet = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , orient = 'left' // TODO top & bottom - , reverse = false - , ranges = function(d) { return d.ranges } - , markers = function(d) { return d.markers ? d.markers : [0] } - , measures = function(d) { return d.measures } - , rangeLabels = function(d) { return d.rangeLabels ? d.rangeLabels : [] } - , markerLabels = function(d) { return d.markerLabels ? d.markerLabels : [] } - , measureLabels = function(d) { return d.measureLabels ? d.measureLabels : [] } - , forceX = [0] // List of numbers to Force into the X scale (ie. 0, or a max / min, etc.) - , width = 380 - , height = 30 - , container = null - , tickFormat = null - , color = nv.utils.getColor(['#1f77b4']) - , dispatch = d3.dispatch('elementMouseover', 'elementMouseout', 'elementMousemove') - ; - - function chart(selection) { - selection.each(function(d, i) { - var availableWidth = width - margin.left - margin.right, - availableHeight = height - margin.top - margin.bottom; - - container = d3.select(this); - nv.utils.initSVG(container); - - var rangez = ranges.call(this, d, i).slice().sort(d3.descending), - markerz = markers.call(this, d, i).slice().sort(d3.descending), - measurez = measures.call(this, d, i).slice().sort(d3.descending), - rangeLabelz = rangeLabels.call(this, d, i).slice(), - markerLabelz = markerLabels.call(this, d, i).slice(), - measureLabelz = measureLabels.call(this, d, i).slice(); - - // Setup Scales - // Compute the new x-scale. - var x1 = d3.scale.linear() - .domain( d3.extent(d3.merge([forceX, rangez])) ) - .range(reverse ? [availableWidth, 0] : [0, availableWidth]); - - // Retrieve the old x-scale, if this is an update. - var x0 = this.__chart__ || d3.scale.linear() - .domain([0, Infinity]) - .range(x1.range()); - - // Stash the new scale. - this.__chart__ = x1; - - var rangeMin = d3.min(rangez), //rangez[2] - rangeMax = d3.max(rangez), //rangez[0] - rangeAvg = rangez[1]; - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-bullet').data([d]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-bullet'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('rect').attr('class', 'nv-range nv-rangeMax'); - gEnter.append('rect').attr('class', 'nv-range nv-rangeAvg'); - gEnter.append('rect').attr('class', 'nv-range nv-rangeMin'); - gEnter.append('rect').attr('class', 'nv-measure'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - var w0 = function(d) { return Math.abs(x0(d) - x0(0)) }, // TODO: could optimize by precalculating x0(0) and x1(0) - w1 = function(d) { return Math.abs(x1(d) - x1(0)) }; - var xp0 = function(d) { return d < 0 ? x0(d) : x0(0) }, - xp1 = function(d) { return d < 0 ? x1(d) : x1(0) }; - - g.select('rect.nv-rangeMax') - .attr('height', availableHeight) - .attr('width', w1(rangeMax > 0 ? rangeMax : rangeMin)) - .attr('x', xp1(rangeMax > 0 ? rangeMax : rangeMin)) - .datum(rangeMax > 0 ? rangeMax : rangeMin) - - g.select('rect.nv-rangeAvg') - .attr('height', availableHeight) - .attr('width', w1(rangeAvg)) - .attr('x', xp1(rangeAvg)) - .datum(rangeAvg) - - g.select('rect.nv-rangeMin') - .attr('height', availableHeight) - .attr('width', w1(rangeMax)) - .attr('x', xp1(rangeMax)) - .attr('width', w1(rangeMax > 0 ? rangeMin : rangeMax)) - .attr('x', xp1(rangeMax > 0 ? rangeMin : rangeMax)) - .datum(rangeMax > 0 ? rangeMin : rangeMax) - - g.select('rect.nv-measure') - .style('fill', color) - .attr('height', availableHeight / 3) - .attr('y', availableHeight / 3) - .attr('width', measurez < 0 ? - x1(0) - x1(measurez[0]) - : x1(measurez[0]) - x1(0)) - .attr('x', xp1(measurez)) - .on('mouseover', function() { - dispatch.elementMouseover({ - value: measurez[0], - label: measureLabelz[0] || 'Current', - color: d3.select(this).style("fill") - }) - }) - .on('mousemove', function() { - dispatch.elementMousemove({ - value: measurez[0], - label: measureLabelz[0] || 'Current', - color: d3.select(this).style("fill") - }) - }) - .on('mouseout', function() { - dispatch.elementMouseout({ - value: measurez[0], - label: measureLabelz[0] || 'Current', - color: d3.select(this).style("fill") - }) - }); - - var h3 = availableHeight / 6; - - var markerData = markerz.map( function(marker, index) { - return {value: marker, label: markerLabelz[index]} - }); - gEnter - .selectAll("path.nv-markerTriangle") - .data(markerData) - .enter() - .append('path') - .attr('class', 'nv-markerTriangle') - .attr('transform', function(d) { return 'translate(' + x1(d.value) + ',' + (availableHeight / 2) + ')' }) - .attr('d', 'M0,' + h3 + 'L' + h3 + ',' + (-h3) + ' ' + (-h3) + ',' + (-h3) + 'Z') - .on('mouseover', function(d) { - dispatch.elementMouseover({ - value: d.value, - label: d.label || 'Previous', - color: d3.select(this).style("fill"), - pos: [x1(d.value), availableHeight/2] - }) - - }) - .on('mousemove', function(d) { - dispatch.elementMousemove({ - value: d.value, - label: d.label || 'Previous', - color: d3.select(this).style("fill") - }) - }) - .on('mouseout', function(d, i) { - dispatch.elementMouseout({ - value: d.value, - label: d.label || 'Previous', - color: d3.select(this).style("fill") - }) - }); - - wrap.selectAll('.nv-range') - .on('mouseover', function(d,i) { - var label = rangeLabelz[i] || (!i ? "Maximum" : i == 1 ? "Mean" : "Minimum"); - dispatch.elementMouseover({ - value: d, - label: label, - color: d3.select(this).style("fill") - }) - }) - .on('mousemove', function() { - dispatch.elementMousemove({ - value: measurez[0], - label: measureLabelz[0] || 'Previous', - color: d3.select(this).style("fill") - }) - }) - .on('mouseout', function(d,i) { - var label = rangeLabelz[i] || (!i ? "Maximum" : i == 1 ? "Mean" : "Minimum"); - dispatch.elementMouseout({ - value: d, - label: label, - color: d3.select(this).style("fill") - }) - }); - }); - - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - ranges: {get: function(){return ranges;}, set: function(_){ranges=_;}}, // ranges (bad, satisfactory, good) - markers: {get: function(){return markers;}, set: function(_){markers=_;}}, // markers (previous, goal) - measures: {get: function(){return measures;}, set: function(_){measures=_;}}, // measures (actual, forecast) - forceX: {get: function(){return forceX;}, set: function(_){forceX=_;}}, - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - tickFormat: {get: function(){return tickFormat;}, set: function(_){tickFormat=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - orient: {get: function(){return orient;}, set: function(_){ // left, right, top, bottom - orient = _; - reverse = orient == 'right' || orient == 'bottom'; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }} - }); - - nv.utils.initOptions(chart); - return chart; -}; - - - -// Chart design based on the recommendations of Stephen Few. Implementation -// based on the work of Clint Ivy, Jamie Love, and Jason Davies. -// http://projects.instantcognition.com/protovis/bulletchart/ -nv.models.bulletChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var bullet = nv.models.bullet(); - var tooltip = nv.models.tooltip(); - - var orient = 'left' // TODO top & bottom - , reverse = false - , margin = {top: 5, right: 40, bottom: 20, left: 120} - , ranges = function(d) { return d.ranges } - , markers = function(d) { return d.markers ? d.markers : [0] } - , measures = function(d) { return d.measures } - , width = null - , height = 55 - , tickFormat = null - , ticks = null - , noData = null - , dispatch = d3.dispatch('tooltipShow', 'tooltipHide') - ; - - tooltip.duration(0).headerEnabled(false); - - function chart(selection) { - selection.each(function(d, i) { - var container = d3.select(this); - nv.utils.initSVG(container); - - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = height - margin.top - margin.bottom, - that = this; - - chart.update = function() { chart(selection) }; - chart.container = this; - - // Display No Data message if there's nothing to show. - if (!d || !ranges.call(this, d, i)) { - nv.utils.noData(chart, container) - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - var rangez = ranges.call(this, d, i).slice().sort(d3.descending), - markerz = markers.call(this, d, i).slice().sort(d3.descending), - measurez = measures.call(this, d, i).slice().sort(d3.descending); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-bulletChart').data([d]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-bulletChart'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-bulletWrap'); - gEnter.append('g').attr('class', 'nv-titles'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - // Compute the new x-scale. - var x1 = d3.scale.linear() - .domain([0, Math.max(rangez[0], markerz[0], measurez[0])]) // TODO: need to allow forceX and forceY, and xDomain, yDomain - .range(reverse ? [availableWidth, 0] : [0, availableWidth]); - - // Retrieve the old x-scale, if this is an update. - var x0 = this.__chart__ || d3.scale.linear() - .domain([0, Infinity]) - .range(x1.range()); - - // Stash the new scale. - this.__chart__ = x1; - - var w0 = function(d) { return Math.abs(x0(d) - x0(0)) }, // TODO: could optimize by precalculating x0(0) and x1(0) - w1 = function(d) { return Math.abs(x1(d) - x1(0)) }; - - var title = gEnter.select('.nv-titles').append('g') - .attr('text-anchor', 'end') - .attr('transform', 'translate(-6,' + (height - margin.top - margin.bottom) / 2 + ')'); - title.append('text') - .attr('class', 'nv-title') - .text(function(d) { return d.title; }); - - title.append('text') - .attr('class', 'nv-subtitle') - .attr('dy', '1em') - .text(function(d) { return d.subtitle; }); - - bullet - .width(availableWidth) - .height(availableHeight) - - var bulletWrap = g.select('.nv-bulletWrap'); - d3.transition(bulletWrap).call(bullet); - - // Compute the tick format. - var format = tickFormat || x1.tickFormat( availableWidth / 100 ); - - // Update the tick groups. - var tick = g.selectAll('g.nv-tick') - .data(x1.ticks( ticks ? ticks : (availableWidth / 50) ), function(d) { - return this.textContent || format(d); - }); - - // Initialize the ticks with the old scale, x0. - var tickEnter = tick.enter().append('g') - .attr('class', 'nv-tick') - .attr('transform', function(d) { return 'translate(' + x0(d) + ',0)' }) - .style('opacity', 1e-6); - - tickEnter.append('line') - .attr('y1', availableHeight) - .attr('y2', availableHeight * 7 / 6); - - tickEnter.append('text') - .attr('text-anchor', 'middle') - .attr('dy', '1em') - .attr('y', availableHeight * 7 / 6) - .text(format); - - // Transition the updating ticks to the new scale, x1. - var tickUpdate = d3.transition(tick) - .attr('transform', function(d) { return 'translate(' + x1(d) + ',0)' }) - .style('opacity', 1); - - tickUpdate.select('line') - .attr('y1', availableHeight) - .attr('y2', availableHeight * 7 / 6); - - tickUpdate.select('text') - .attr('y', availableHeight * 7 / 6); - - // Transition the exiting ticks to the new scale, x1. - d3.transition(tick.exit()) - .attr('transform', function(d) { return 'translate(' + x1(d) + ',0)' }) - .style('opacity', 1e-6) - .remove(); - }); - - d3.timer.flush(); - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - bullet.dispatch.on('elementMouseover.tooltip', function(evt) { - evt['series'] = { - key: evt.label, - value: evt.value, - color: evt.color - }; - tooltip.data(evt).hidden(false); - }); - - bullet.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true); - }); - - bullet.dispatch.on('elementMousemove.tooltip', function(evt) { - tooltip.position({top: d3.event.pageY, left: d3.event.pageX})(); - }); - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.bullet = bullet; - chart.dispatch = dispatch; - chart.tooltip = tooltip; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - ranges: {get: function(){return ranges;}, set: function(_){ranges=_;}}, // ranges (bad, satisfactory, good) - markers: {get: function(){return markers;}, set: function(_){markers=_;}}, // markers (previous, goal) - measures: {get: function(){return measures;}, set: function(_){measures=_;}}, // measures (actual, forecast) - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - tickFormat: {get: function(){return tickFormat;}, set: function(_){tickFormat=_;}}, - ticks: {get: function(){return ticks;}, set: function(_){ticks=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - orient: {get: function(){return orient;}, set: function(_){ // left, right, top, bottom - orient = _; - reverse = orient == 'right' || orient == 'bottom'; - }} - }); - - nv.utils.inheritOptions(chart, bullet); - nv.utils.initOptions(chart); - - return chart; -}; - - - -nv.models.candlestickBar = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = null - , height = null - , id = Math.floor(Math.random() * 10000) //Create semi-unique ID in case user doesn't select one - , container - , x = d3.scale.linear() - , y = d3.scale.linear() - , getX = function(d) { return d.x } - , getY = function(d) { return d.y } - , getOpen = function(d) { return d.open } - , getClose = function(d) { return d.close } - , getHigh = function(d) { return d.high } - , getLow = function(d) { return d.low } - , forceX = [] - , forceY = [] - , padData = false // If true, adds half a data points width to front and back, for lining up a line chart with a bar chart - , clipEdge = true - , color = nv.utils.defaultColor() - , interactive = false - , xDomain - , yDomain - , xRange - , yRange - , dispatch = d3.dispatch('tooltipShow', 'tooltipHide', 'stateChange', 'changeState', 'renderEnd', 'chartClick', 'elementClick', 'elementDblClick', 'elementMouseover', 'elementMouseout', 'elementMousemove') - ; - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - function chart(selection) { - selection.each(function(data) { - container = d3.select(this); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - nv.utils.initSVG(container); - - // Width of the candlestick bars. - var barWidth = (availableWidth / data[0].values.length) * .45; - - // Setup Scales - x.domain(xDomain || d3.extent(data[0].values.map(getX).concat(forceX) )); - - if (padData) - x.range(xRange || [availableWidth * .5 / data[0].values.length, availableWidth * (data[0].values.length - .5) / data[0].values.length ]); - else - x.range(xRange || [5 + barWidth / 2, availableWidth - barWidth / 2 - 5]); - - y.domain(yDomain || [ - d3.min(data[0].values.map(getLow).concat(forceY)), - d3.max(data[0].values.map(getHigh).concat(forceY)) - ] - ).range(yRange || [availableHeight, 0]); - - // If scale's domain don't have a range, slightly adjust to make one... so a chart can show a single data point - if (x.domain()[0] === x.domain()[1]) - x.domain()[0] ? - x.domain([x.domain()[0] - x.domain()[0] * 0.01, x.domain()[1] + x.domain()[1] * 0.01]) - : x.domain([-1,1]); - - if (y.domain()[0] === y.domain()[1]) - y.domain()[0] ? - y.domain([y.domain()[0] + y.domain()[0] * 0.01, y.domain()[1] - y.domain()[1] * 0.01]) - : y.domain([-1,1]); - - // Setup containers and skeleton of chart - var wrap = d3.select(this).selectAll('g.nv-wrap.nv-candlestickBar').data([data[0].values]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-candlestickBar'); - var defsEnter = wrapEnter.append('defs'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-ticks'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - container - .on('click', function(d,i) { - dispatch.chartClick({ - data: d, - index: i, - pos: d3.event, - id: id - }); - }); - - defsEnter.append('clipPath') - .attr('id', 'nv-chart-clip-path-' + id) - .append('rect'); - - wrap.select('#nv-chart-clip-path-' + id + ' rect') - .attr('width', availableWidth) - .attr('height', availableHeight); - - g .attr('clip-path', clipEdge ? 'url(#nv-chart-clip-path-' + id + ')' : ''); - - var ticks = wrap.select('.nv-ticks').selectAll('.nv-tick') - .data(function(d) { return d }); - ticks.exit().remove(); - - // The colors are currently controlled by CSS. - var tickGroups = ticks.enter().append('g') - .attr('class', function(d, i, j) { return (getOpen(d, i) > getClose(d, i) ? 'nv-tick negative' : 'nv-tick positive') + ' nv-tick-' + j + '-' + i}); - - var lines = tickGroups.append('line') - .attr('class', 'nv-candlestick-lines') - .attr('transform', function(d, i) { return 'translate(' + x(getX(d, i)) + ',0)'; }) - .attr('x1', 0) - .attr('y1', function(d, i) { return y(getHigh(d, i)); }) - .attr('x2', 0) - .attr('y2', function(d, i) { return y(getLow(d, i)); }); - - var rects = tickGroups.append('rect') - .attr('class', 'nv-candlestick-rects nv-bars') - .attr('transform', function(d, i) { - return 'translate(' + (x(getX(d, i)) - barWidth/2) + ',' - + (y(getY(d, i)) - (getOpen(d, i) > getClose(d, i) ? (y(getClose(d, i)) - y(getOpen(d, i))) : 0)) - + ')'; - }) - .attr('x', 0) - .attr('y', 0) - .attr('width', barWidth) - .attr('height', function(d, i) { - var open = getOpen(d, i); - var close = getClose(d, i); - return open > close ? y(close) - y(open) : y(open) - y(close); - }); - - container.selectAll('.nv-candlestick-lines').transition() - .attr('transform', function(d, i) { return 'translate(' + x(getX(d, i)) + ',0)'; }) - .attr('x1', 0) - .attr('y1', function(d, i) { return y(getHigh(d, i)); }) - .attr('x2', 0) - .attr('y2', function(d, i) { return y(getLow(d, i)); }); - - container.selectAll('.nv-candlestick-rects').transition() - .attr('transform', function(d, i) { - return 'translate(' + (x(getX(d, i)) - barWidth/2) + ',' - + (y(getY(d, i)) - (getOpen(d, i) > getClose(d, i) ? (y(getClose(d, i)) - y(getOpen(d, i))) : 0)) - + ')'; - }) - .attr('x', 0) - .attr('y', 0) - .attr('width', barWidth) - .attr('height', function(d, i) { - var open = getOpen(d, i); - var close = getClose(d, i); - return open > close ? y(close) - y(open) : y(open) - y(close); - }); - }); - - return chart; - } - - - //Create methods to allow outside functions to highlight a specific bar. - chart.highlightPoint = function(pointIndex, isHoverOver) { - chart.clearHighlights(); - container.select(".nv-candlestickBar .nv-tick-0-" + pointIndex) - .classed("hover", isHoverOver) - ; - }; - - chart.clearHighlights = function() { - container.select(".nv-candlestickBar .nv-tick.hover") - .classed("hover", false) - ; - }; - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - xScale: {get: function(){return x;}, set: function(_){x=_;}}, - yScale: {get: function(){return y;}, set: function(_){y=_;}}, - xDomain: {get: function(){return xDomain;}, set: function(_){xDomain=_;}}, - yDomain: {get: function(){return yDomain;}, set: function(_){yDomain=_;}}, - xRange: {get: function(){return xRange;}, set: function(_){xRange=_;}}, - yRange: {get: function(){return yRange;}, set: function(_){yRange=_;}}, - forceX: {get: function(){return forceX;}, set: function(_){forceX=_;}}, - forceY: {get: function(){return forceY;}, set: function(_){forceY=_;}}, - padData: {get: function(){return padData;}, set: function(_){padData=_;}}, - clipEdge: {get: function(){return clipEdge;}, set: function(_){clipEdge=_;}}, - id: {get: function(){return id;}, set: function(_){id=_;}}, - interactive: {get: function(){return interactive;}, set: function(_){interactive=_;}}, - - x: {get: function(){return getX;}, set: function(_){getX=_;}}, - y: {get: function(){return getY;}, set: function(_){getY=_;}}, - open: {get: function(){return getOpen();}, set: function(_){getOpen=_;}}, - close: {get: function(){return getClose();}, set: function(_){getClose=_;}}, - high: {get: function(){return getHigh;}, set: function(_){getHigh=_;}}, - low: {get: function(){return getLow;}, set: function(_){getLow=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top != undefined ? _.top : margin.top; - margin.right = _.right != undefined ? _.right : margin.right; - margin.bottom = _.bottom != undefined ? _.bottom : margin.bottom; - margin.left = _.left != undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }} - }); - - nv.utils.initOptions(chart); - return chart; -}; - -nv.models.cumulativeLineChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var lines = nv.models.line() - , xAxis = nv.models.axis() - , yAxis = nv.models.axis() - , legend = nv.models.legend() - , controls = nv.models.legend() - , interactiveLayer = nv.interactiveGuideline() - , tooltip = nv.models.tooltip() - ; - - var margin = {top: 30, right: 30, bottom: 50, left: 60} - , color = nv.utils.defaultColor() - , width = null - , height = null - , showLegend = true - , showXAxis = true - , showYAxis = true - , rightAlignYAxis = false - , showControls = true - , useInteractiveGuideline = false - , rescaleY = true - , x //can be accessed via chart.xScale() - , y //can be accessed via chart.yScale() - , id = lines.id() - , state = nv.utils.state() - , defaultState = null - , noData = null - , average = function(d) { return d.average } - , dispatch = d3.dispatch('stateChange', 'changeState', 'renderEnd') - , transitionDuration = 250 - , duration = 250 - , noErrorCheck = false //if set to TRUE, will bypass an error check in the indexify function. - ; - - state.index = 0; - state.rescaleY = rescaleY; - - xAxis.orient('bottom').tickPadding(7); - yAxis.orient((rightAlignYAxis) ? 'right' : 'left'); - - tooltip.valueFormatter(function(d, i) { - return yAxis.tickFormat()(d, i); - }).headerFormatter(function(d, i) { - return xAxis.tickFormat()(d, i); - }); - - controls.updateState(false); - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var dx = d3.scale.linear() - , index = {i: 0, x: 0} - , renderWatch = nv.utils.renderWatch(dispatch, duration) - ; - - var stateGetter = function(data) { - return function(){ - return { - active: data.map(function(d) { return !d.disabled }), - index: index.i, - rescaleY: rescaleY - }; - } - }; - - var stateSetter = function(data) { - return function(state) { - if (state.index !== undefined) - index.i = state.index; - if (state.rescaleY !== undefined) - rescaleY = state.rescaleY; - if (state.active !== undefined) - data.forEach(function(series,i) { - series.disabled = !state.active[i]; - }); - } - }; - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(lines); - if (showXAxis) renderWatch.models(xAxis); - if (showYAxis) renderWatch.models(yAxis); - selection.each(function(data) { - var container = d3.select(this); - nv.utils.initSVG(container); - container.classed('nv-chart-' + id, true); - var that = this; - - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - chart.update = function() { - if (duration === 0) - container.call(chart); - else - container.transition().duration(duration).call(chart) - }; - chart.container = this; - - state - .setter(stateSetter(data), chart.update) - .getter(stateGetter(data)) - .update(); - - // DEPRECATED set state.disableddisabled - state.disabled = data.map(function(d) { return !!d.disabled }); - - if (!defaultState) { - var key; - defaultState = {}; - for (key in state) { - if (state[key] instanceof Array) - defaultState[key] = state[key].slice(0); - else - defaultState[key] = state[key]; - } - } - - var indexDrag = d3.behavior.drag() - .on('dragstart', dragStart) - .on('drag', dragMove) - .on('dragend', dragEnd); - - - function dragStart(d,i) { - d3.select(chart.container) - .style('cursor', 'ew-resize'); - } - - function dragMove(d,i) { - index.x = d3.event.x; - index.i = Math.round(dx.invert(index.x)); - updateZero(); - } - - function dragEnd(d,i) { - d3.select(chart.container) - .style('cursor', 'auto'); - - // update state and send stateChange with new index - state.index = index.i; - dispatch.stateChange(state); - } - - // Display No Data message if there's nothing to show. - if (!data || !data.length || !data.filter(function(d) { return d.values.length }).length) { - nv.utils.noData(chart, container) - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup Scales - x = lines.xScale(); - y = lines.yScale(); - - if (!rescaleY) { - var seriesDomains = data - .filter(function(series) { return !series.disabled }) - .map(function(series,i) { - var initialDomain = d3.extent(series.values, lines.y()); - - //account for series being disabled when losing 95% or more - if (initialDomain[0] < -.95) initialDomain[0] = -.95; - - return [ - (initialDomain[0] - initialDomain[1]) / (1 + initialDomain[1]), - (initialDomain[1] - initialDomain[0]) / (1 + initialDomain[0]) - ]; - }); - - var completeDomain = [ - d3.min(seriesDomains, function(d) { return d[0] }), - d3.max(seriesDomains, function(d) { return d[1] }) - ]; - - lines.yDomain(completeDomain); - } else { - lines.yDomain(null); - } - - dx.domain([0, data[0].values.length - 1]) //Assumes all series have same length - .range([0, availableWidth]) - .clamp(true); - - var data = indexify(index.i, data); - - // Setup containers and skeleton of chart - var interactivePointerEvents = (useInteractiveGuideline) ? "none" : "all"; - var wrap = container.selectAll('g.nv-wrap.nv-cumulativeLine').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-cumulativeLine').append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-interactive'); - gEnter.append('g').attr('class', 'nv-x nv-axis').style("pointer-events","none"); - gEnter.append('g').attr('class', 'nv-y nv-axis'); - gEnter.append('g').attr('class', 'nv-background'); - gEnter.append('g').attr('class', 'nv-linesWrap').style("pointer-events",interactivePointerEvents); - gEnter.append('g').attr('class', 'nv-avgLinesWrap').style("pointer-events","none"); - gEnter.append('g').attr('class', 'nv-legendWrap'); - gEnter.append('g').attr('class', 'nv-controlsWrap'); - - // Legend - if (showLegend) { - legend.width(availableWidth); - - g.select('.nv-legendWrap') - .datum(data) - .call(legend); - - if ( margin.top != legend.height()) { - margin.top = legend.height(); - availableHeight = nv.utils.availableHeight(height, container, margin); - } - - g.select('.nv-legendWrap') - .attr('transform', 'translate(0,' + (-margin.top) +')') - } - - // Controls - if (showControls) { - var controlsData = [ - { key: 'Re-scale y-axis', disabled: !rescaleY } - ]; - - controls - .width(140) - .color(['#444', '#444', '#444']) - .rightAlign(false) - .margin({top: 5, right: 0, bottom: 5, left: 20}) - ; - - g.select('.nv-controlsWrap') - .datum(controlsData) - .attr('transform', 'translate(0,' + (-margin.top) +')') - .call(controls); - } - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - if (rightAlignYAxis) { - g.select(".nv-y.nv-axis") - .attr("transform", "translate(" + availableWidth + ",0)"); - } - - // Show error if series goes below 100% - var tempDisabled = data.filter(function(d) { return d.tempDisabled }); - - wrap.select('.tempDisabled').remove(); //clean-up and prevent duplicates - if (tempDisabled.length) { - wrap.append('text').attr('class', 'tempDisabled') - .attr('x', availableWidth / 2) - .attr('y', '-.71em') - .style('text-anchor', 'end') - .text(tempDisabled.map(function(d) { return d.key }).join(', ') + ' values cannot be calculated for this time period.'); - } - - //Set up interactive layer - if (useInteractiveGuideline) { - interactiveLayer - .width(availableWidth) - .height(availableHeight) - .margin({left:margin.left,top:margin.top}) - .svgContainer(container) - .xScale(x); - wrap.select(".nv-interactive").call(interactiveLayer); - } - - gEnter.select('.nv-background') - .append('rect'); - - g.select('.nv-background rect') - .attr('width', availableWidth) - .attr('height', availableHeight); - - lines - //.x(function(d) { return d.x }) - .y(function(d) { return d.display.y }) - .width(availableWidth) - .height(availableHeight) - .color(data.map(function(d,i) { - return d.color || color(d, i); - }).filter(function(d,i) { return !data[i].disabled && !data[i].tempDisabled; })); - - var linesWrap = g.select('.nv-linesWrap') - .datum(data.filter(function(d) { return !d.disabled && !d.tempDisabled })); - - linesWrap.call(lines); - - //Store a series index number in the data array. - data.forEach(function(d,i) { - d.seriesIndex = i; - }); - - var avgLineData = data.filter(function(d) { - return !d.disabled && !!average(d); - }); - - var avgLines = g.select(".nv-avgLinesWrap").selectAll("line") - .data(avgLineData, function(d) { return d.key; }); - - var getAvgLineY = function(d) { - //If average lines go off the svg element, clamp them to the svg bounds. - var yVal = y(average(d)); - if (yVal < 0) return 0; - if (yVal > availableHeight) return availableHeight; - return yVal; - }; - - avgLines.enter() - .append('line') - .style('stroke-width',2) - .style('stroke-dasharray','10,10') - .style('stroke',function (d,i) { - return lines.color()(d,d.seriesIndex); - }) - .attr('x1',0) - .attr('x2',availableWidth) - .attr('y1', getAvgLineY) - .attr('y2', getAvgLineY); - - avgLines - .style('stroke-opacity',function(d){ - //If average lines go offscreen, make them transparent - var yVal = y(average(d)); - if (yVal < 0 || yVal > availableHeight) return 0; - return 1; - }) - .attr('x1',0) - .attr('x2',availableWidth) - .attr('y1', getAvgLineY) - .attr('y2', getAvgLineY); - - avgLines.exit().remove(); - - //Create index line - var indexLine = linesWrap.selectAll('.nv-indexLine') - .data([index]); - indexLine.enter().append('rect').attr('class', 'nv-indexLine') - .attr('width', 3) - .attr('x', -2) - .attr('fill', 'red') - .attr('fill-opacity', .5) - .style("pointer-events","all") - .call(indexDrag); - - indexLine - .attr('transform', function(d) { return 'translate(' + dx(d.i) + ',0)' }) - .attr('height', availableHeight); - - // Setup Axes - if (showXAxis) { - xAxis - .scale(x) - ._ticks( nv.utils.calcTicksX(availableWidth/70, data) ) - .tickSize(-availableHeight, 0); - - g.select('.nv-x.nv-axis') - .attr('transform', 'translate(0,' + y.range()[0] + ')'); - g.select('.nv-x.nv-axis') - .call(xAxis); - } - - if (showYAxis) { - yAxis - .scale(y) - ._ticks( nv.utils.calcTicksY(availableHeight/36, data) ) - .tickSize( -availableWidth, 0); - - g.select('.nv-y.nv-axis') - .call(yAxis); - } - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - - function updateZero() { - indexLine - .data([index]); - - //When dragging the index line, turn off line transitions. - // Then turn them back on when done dragging. - var oldDuration = chart.duration(); - chart.duration(0); - chart.update(); - chart.duration(oldDuration); - } - - g.select('.nv-background rect') - .on('click', function() { - index.x = d3.mouse(this)[0]; - index.i = Math.round(dx.invert(index.x)); - - // update state and send stateChange with new index - state.index = index.i; - dispatch.stateChange(state); - - updateZero(); - }); - - lines.dispatch.on('elementClick', function(e) { - index.i = e.pointIndex; - index.x = dx(index.i); - - // update state and send stateChange with new index - state.index = index.i; - dispatch.stateChange(state); - - updateZero(); - }); - - controls.dispatch.on('legendClick', function(d,i) { - d.disabled = !d.disabled; - rescaleY = !d.disabled; - - state.rescaleY = rescaleY; - dispatch.stateChange(state); - chart.update(); - }); - - legend.dispatch.on('stateChange', function(newState) { - for (var key in newState) - state[key] = newState[key]; - dispatch.stateChange(state); - chart.update(); - }); - - interactiveLayer.dispatch.on('elementMousemove', function(e) { - lines.clearHighlights(); - var singlePoint, pointIndex, pointXLocation, allData = []; - - data - .filter(function(series, i) { - series.seriesIndex = i; - return !series.disabled; - }) - .forEach(function(series,i) { - pointIndex = nv.interactiveBisect(series.values, e.pointXValue, chart.x()); - lines.highlightPoint(i, pointIndex, true); - var point = series.values[pointIndex]; - if (typeof point === 'undefined') return; - if (typeof singlePoint === 'undefined') singlePoint = point; - if (typeof pointXLocation === 'undefined') pointXLocation = chart.xScale()(chart.x()(point,pointIndex)); - allData.push({ - key: series.key, - value: chart.y()(point, pointIndex), - color: color(series,series.seriesIndex) - }); - }); - - //Highlight the tooltip entry based on which point the mouse is closest to. - if (allData.length > 2) { - var yValue = chart.yScale().invert(e.mouseY); - var domainExtent = Math.abs(chart.yScale().domain()[0] - chart.yScale().domain()[1]); - var threshold = 0.03 * domainExtent; - var indexToHighlight = nv.nearestValueIndex(allData.map(function(d){return d.value}),yValue,threshold); - if (indexToHighlight !== null) - allData[indexToHighlight].highlight = true; - } - - var xValue = xAxis.tickFormat()(chart.x()(singlePoint,pointIndex), pointIndex); - interactiveLayer.tooltip - .position({left: pointXLocation + margin.left, top: e.mouseY + margin.top}) - .chartContainer(that.parentNode) - .valueFormatter(function(d,i) { - return yAxis.tickFormat()(d); - }) - .data( - { - value: xValue, - series: allData - } - )(); - - interactiveLayer.renderGuideLine(pointXLocation); - }); - - interactiveLayer.dispatch.on("elementMouseout",function(e) { - lines.clearHighlights(); - }); - - // Update chart from a state object passed to event handler - dispatch.on('changeState', function(e) { - if (typeof e.disabled !== 'undefined') { - data.forEach(function(series,i) { - series.disabled = e.disabled[i]; - }); - - state.disabled = e.disabled; - } - - if (typeof e.index !== 'undefined') { - index.i = e.index; - index.x = dx(index.i); - - state.index = e.index; - - indexLine - .data([index]); - } - - if (typeof e.rescaleY !== 'undefined') { - rescaleY = e.rescaleY; - } - - chart.update(); - }); - - }); - - renderWatch.renderEnd('cumulativeLineChart immediate'); - - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - lines.dispatch.on('elementMouseover.tooltip', function(evt) { - var point = { - x: chart.x()(evt.point), - y: chart.y()(evt.point), - color: evt.point.color - }; - evt.point = point; - tooltip.data(evt).position(evt.pos).hidden(false); - }); - - lines.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true) - }); - - //============================================================ - // Functions - //------------------------------------------------------------ - - var indexifyYGetter = null; - /* Normalize the data according to an index point. */ - function indexify(idx, data) { - if (!indexifyYGetter) indexifyYGetter = lines.y(); - return data.map(function(line, i) { - if (!line.values) { - return line; - } - var indexValue = line.values[idx]; - if (indexValue == null) { - return line; - } - var v = indexifyYGetter(indexValue, idx); - - //TODO: implement check below, and disable series if series loses 100% or more cause divide by 0 issue - if (v < -.95 && !noErrorCheck) { - //if a series loses more than 100%, calculations fail.. anything close can cause major distortion (but is mathematically correct till it hits 100) - - line.tempDisabled = true; - return line; - } - - line.tempDisabled = false; - - line.values = line.values.map(function(point, pointIndex) { - point.display = {'y': (indexifyYGetter(point, pointIndex) - v) / (1 + v) }; - return point; - }); - - return line; - }) - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.dispatch = dispatch; - chart.lines = lines; - chart.legend = legend; - chart.controls = controls; - chart.xAxis = xAxis; - chart.yAxis = yAxis; - chart.interactiveLayer = interactiveLayer; - chart.state = state; - chart.tooltip = tooltip; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - rescaleY: {get: function(){return rescaleY;}, set: function(_){rescaleY=_;}}, - showControls: {get: function(){return showControls;}, set: function(_){showControls=_;}}, - showLegend: {get: function(){return showLegend;}, set: function(_){showLegend=_;}}, - average: {get: function(){return average;}, set: function(_){average=_;}}, - defaultState: {get: function(){return defaultState;}, set: function(_){defaultState=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - showXAxis: {get: function(){return showXAxis;}, set: function(_){showXAxis=_;}}, - showYAxis: {get: function(){return showYAxis;}, set: function(_){showYAxis=_;}}, - noErrorCheck: {get: function(){return noErrorCheck;}, set: function(_){noErrorCheck=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - legend.color(color); - }}, - useInteractiveGuideline: {get: function(){return useInteractiveGuideline;}, set: function(_){ - useInteractiveGuideline = _; - if (_ === true) { - chart.interactive(false); - chart.useVoronoi(false); - } - }}, - rightAlignYAxis: {get: function(){return rightAlignYAxis;}, set: function(_){ - rightAlignYAxis = _; - yAxis.orient( (_) ? 'right' : 'left'); - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - lines.duration(duration); - xAxis.duration(duration); - yAxis.duration(duration); - renderWatch.reset(duration); - }} - }); - - nv.utils.inheritOptions(chart, lines); - nv.utils.initOptions(chart); - - return chart; -}; -//TODO: consider deprecating by adding necessary features to multiBar model -nv.models.discreteBar = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = 960 - , height = 500 - , id = Math.floor(Math.random() * 10000) //Create semi-unique ID in case user doesn't select one - , container - , x = d3.scale.ordinal() - , y = d3.scale.linear() - , getX = function(d) { return d.x } - , getY = function(d) { return d.y } - , forceY = [0] // 0 is forced by default.. this makes sense for the majority of bar graphs... user can always do chart.forceY([]) to remove - , color = nv.utils.defaultColor() - , showValues = false - , valueFormat = d3.format(',.2f') - , xDomain - , yDomain - , xRange - , yRange - , dispatch = d3.dispatch('chartClick', 'elementClick', 'elementDblClick', 'elementMouseover', 'elementMouseout', 'elementMousemove', 'renderEnd') - , rectClass = 'discreteBar' - , duration = 250 - ; - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var x0, y0; - var renderWatch = nv.utils.renderWatch(dispatch, duration); - - function chart(selection) { - renderWatch.reset(); - selection.each(function(data) { - var availableWidth = width - margin.left - margin.right, - availableHeight = height - margin.top - margin.bottom; - - container = d3.select(this); - nv.utils.initSVG(container); - - //add series index to each data point for reference - data.forEach(function(series, i) { - series.values.forEach(function(point) { - point.series = i; - }); - }); - - // Setup Scales - // remap and flatten the data for use in calculating the scales' domains - var seriesData = (xDomain && yDomain) ? [] : // if we know xDomain and yDomain, no need to calculate - data.map(function(d) { - return d.values.map(function(d,i) { - return { x: getX(d,i), y: getY(d,i), y0: d.y0 } - }) - }); - - x .domain(xDomain || d3.merge(seriesData).map(function(d) { return d.x })) - .rangeBands(xRange || [0, availableWidth], .1); - y .domain(yDomain || d3.extent(d3.merge(seriesData).map(function(d) { return d.y }).concat(forceY))); - - // If showValues, pad the Y axis range to account for label height - if (showValues) y.range(yRange || [availableHeight - (y.domain()[0] < 0 ? 12 : 0), y.domain()[1] > 0 ? 12 : 0]); - else y.range(yRange || [availableHeight, 0]); - - //store old scales if they exist - x0 = x0 || x; - y0 = y0 || y.copy().range([y(0),y(0)]); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-discretebar').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-discretebar'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-groups'); - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - //TODO: by definition, the discrete bar should not have multiple groups, will modify/remove later - var groups = wrap.select('.nv-groups').selectAll('.nv-group') - .data(function(d) { return d }, function(d) { return d.key }); - groups.enter().append('g') - .style('stroke-opacity', 1e-6) - .style('fill-opacity', 1e-6); - groups.exit() - .watchTransition(renderWatch, 'discreteBar: exit groups') - .style('stroke-opacity', 1e-6) - .style('fill-opacity', 1e-6) - .remove(); - groups - .attr('class', function(d,i) { return 'nv-group nv-series-' + i }) - .classed('hover', function(d) { return d.hover }); - groups - .watchTransition(renderWatch, 'discreteBar: groups') - .style('stroke-opacity', 1) - .style('fill-opacity', .75); - - var bars = groups.selectAll('g.nv-bar') - .data(function(d) { return d.values }); - bars.exit().remove(); - - var barsEnter = bars.enter().append('g') - .attr('transform', function(d,i,j) { - return 'translate(' + (x(getX(d,i)) + x.rangeBand() * .05 ) + ', ' + y(0) + ')' - }) - .on('mouseover', function(d,i) { //TODO: figure out why j works above, but not here - d3.select(this).classed('hover', true); - dispatch.elementMouseover({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('mouseout', function(d,i) { - d3.select(this).classed('hover', false); - dispatch.elementMouseout({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('mousemove', function(d,i) { - dispatch.elementMousemove({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('click', function(d,i) { - dispatch.elementClick({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - d3.event.stopPropagation(); - }) - .on('dblclick', function(d,i) { - dispatch.elementDblClick({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - d3.event.stopPropagation(); - }); - - barsEnter.append('rect') - .attr('height', 0) - .attr('width', x.rangeBand() * .9 / data.length ) - - if (showValues) { - barsEnter.append('text') - .attr('text-anchor', 'middle') - ; - - bars.select('text') - .text(function(d,i) { return valueFormat(getY(d,i)) }) - .watchTransition(renderWatch, 'discreteBar: bars text') - .attr('x', x.rangeBand() * .9 / 2) - .attr('y', function(d,i) { return getY(d,i) < 0 ? y(getY(d,i)) - y(0) + 12 : -4 }) - - ; - } else { - bars.selectAll('text').remove(); - } - - bars - .attr('class', function(d,i) { return getY(d,i) < 0 ? 'nv-bar negative' : 'nv-bar positive' }) - .style('fill', function(d,i) { return d.color || color(d,i) }) - .style('stroke', function(d,i) { return d.color || color(d,i) }) - .select('rect') - .attr('class', rectClass) - .watchTransition(renderWatch, 'discreteBar: bars rect') - .attr('width', x.rangeBand() * .9 / data.length); - bars.watchTransition(renderWatch, 'discreteBar: bars') - //.delay(function(d,i) { return i * 1200 / data[0].values.length }) - .attr('transform', function(d,i) { - var left = x(getX(d,i)) + x.rangeBand() * .05, - top = getY(d,i) < 0 ? - y(0) : - y(0) - y(getY(d,i)) < 1 ? - y(0) - 1 : //make 1 px positive bars show up above y=0 - y(getY(d,i)); - - return 'translate(' + left + ', ' + top + ')' - }) - .select('rect') - .attr('height', function(d,i) { - return Math.max(Math.abs(y(getY(d,i)) - y((yDomain && yDomain[0]) || 0)) || 1) - }); - - - //store old scales for use in transitions on update - x0 = x.copy(); - y0 = y.copy(); - - }); - - renderWatch.renderEnd('discreteBar immediate'); - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - forceY: {get: function(){return forceY;}, set: function(_){forceY=_;}}, - showValues: {get: function(){return showValues;}, set: function(_){showValues=_;}}, - x: {get: function(){return getX;}, set: function(_){getX=_;}}, - y: {get: function(){return getY;}, set: function(_){getY=_;}}, - xScale: {get: function(){return x;}, set: function(_){x=_;}}, - yScale: {get: function(){return y;}, set: function(_){y=_;}}, - xDomain: {get: function(){return xDomain;}, set: function(_){xDomain=_;}}, - yDomain: {get: function(){return yDomain;}, set: function(_){yDomain=_;}}, - xRange: {get: function(){return xRange;}, set: function(_){xRange=_;}}, - yRange: {get: function(){return yRange;}, set: function(_){yRange=_;}}, - valueFormat: {get: function(){return valueFormat;}, set: function(_){valueFormat=_;}}, - id: {get: function(){return id;}, set: function(_){id=_;}}, - rectClass: {get: function(){return rectClass;}, set: function(_){rectClass=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - }} - }); - - nv.utils.initOptions(chart); - - return chart; -}; - -nv.models.discreteBarChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var discretebar = nv.models.discreteBar() - , xAxis = nv.models.axis() - , yAxis = nv.models.axis() - , tooltip = nv.models.tooltip() - ; - - var margin = {top: 15, right: 10, bottom: 50, left: 60} - , width = null - , height = null - , color = nv.utils.getColor() - , showXAxis = true - , showYAxis = true - , rightAlignYAxis = false - , staggerLabels = false - , x - , y - , noData = null - , dispatch = d3.dispatch('beforeUpdate','renderEnd') - , duration = 250 - ; - - xAxis - .orient('bottom') - .showMaxMin(false) - .tickFormat(function(d) { return d }) - ; - yAxis - .orient((rightAlignYAxis) ? 'right' : 'left') - .tickFormat(d3.format(',.1f')) - ; - - tooltip - .duration(0) - .headerEnabled(false) - .valueFormatter(function(d, i) { - return yAxis.tickFormat()(d, i); - }) - .keyFormatter(function(d, i) { - return xAxis.tickFormat()(d, i); - }); - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var renderWatch = nv.utils.renderWatch(dispatch, duration); - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(discretebar); - if (showXAxis) renderWatch.models(xAxis); - if (showYAxis) renderWatch.models(yAxis); - - selection.each(function(data) { - var container = d3.select(this), - that = this; - nv.utils.initSVG(container); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - chart.update = function() { - dispatch.beforeUpdate(); - container.transition().duration(duration).call(chart); - }; - chart.container = this; - - // Display No Data message if there's nothing to show. - if (!data || !data.length || !data.filter(function(d) { return d.values.length }).length) { - nv.utils.noData(chart, container); - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup Scales - x = discretebar.xScale(); - y = discretebar.yScale().clamp(true); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-discreteBarWithAxes').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-discreteBarWithAxes').append('g'); - var defsEnter = gEnter.append('defs'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-x nv-axis'); - gEnter.append('g').attr('class', 'nv-y nv-axis') - .append('g').attr('class', 'nv-zeroLine') - .append('line'); - - gEnter.append('g').attr('class', 'nv-barsWrap'); - - g.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - if (rightAlignYAxis) { - g.select(".nv-y.nv-axis") - .attr("transform", "translate(" + availableWidth + ",0)"); - } - - // Main Chart Component(s) - discretebar - .width(availableWidth) - .height(availableHeight); - - var barsWrap = g.select('.nv-barsWrap') - .datum(data.filter(function(d) { return !d.disabled })); - - barsWrap.transition().call(discretebar); - - - defsEnter.append('clipPath') - .attr('id', 'nv-x-label-clip-' + discretebar.id()) - .append('rect'); - - g.select('#nv-x-label-clip-' + discretebar.id() + ' rect') - .attr('width', x.rangeBand() * (staggerLabels ? 2 : 1)) - .attr('height', 16) - .attr('x', -x.rangeBand() / (staggerLabels ? 1 : 2 )); - - // Setup Axes - if (showXAxis) { - xAxis - .scale(x) - ._ticks( nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize(-availableHeight, 0); - - g.select('.nv-x.nv-axis') - .attr('transform', 'translate(0,' + (y.range()[0] + ((discretebar.showValues() && y.domain()[0] < 0) ? 16 : 0)) + ')'); - g.select('.nv-x.nv-axis').call(xAxis); - - var xTicks = g.select('.nv-x.nv-axis').selectAll('g'); - if (staggerLabels) { - xTicks - .selectAll('text') - .attr('transform', function(d,i,j) { return 'translate(0,' + (j % 2 == 0 ? '5' : '17') + ')' }) - } - } - - if (showYAxis) { - yAxis - .scale(y) - ._ticks( nv.utils.calcTicksY(availableHeight/36, data) ) - .tickSize( -availableWidth, 0); - - g.select('.nv-y.nv-axis').call(yAxis); - } - - // Zero line - g.select(".nv-zeroLine line") - .attr("x1",0) - .attr("x2",availableWidth) - .attr("y1", y(0)) - .attr("y2", y(0)) - ; - }); - - renderWatch.renderEnd('discreteBar chart immediate'); - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - discretebar.dispatch.on('elementMouseover.tooltip', function(evt) { - evt['series'] = { - key: chart.x()(evt.data), - value: chart.y()(evt.data), - color: evt.color - }; - tooltip.data(evt).hidden(false); - }); - - discretebar.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true); - }); - - discretebar.dispatch.on('elementMousemove.tooltip', function(evt) { - tooltip.position({top: d3.event.pageY, left: d3.event.pageX})(); - }); - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.discretebar = discretebar; - chart.xAxis = xAxis; - chart.yAxis = yAxis; - chart.tooltip = tooltip; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - staggerLabels: {get: function(){return staggerLabels;}, set: function(_){staggerLabels=_;}}, - showXAxis: {get: function(){return showXAxis;}, set: function(_){showXAxis=_;}}, - showYAxis: {get: function(){return showYAxis;}, set: function(_){showYAxis=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - discretebar.duration(duration); - xAxis.duration(duration); - yAxis.duration(duration); - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - discretebar.color(color); - }}, - rightAlignYAxis: {get: function(){return rightAlignYAxis;}, set: function(_){ - rightAlignYAxis = _; - yAxis.orient( (_) ? 'right' : 'left'); - }} - }); - - nv.utils.inheritOptions(chart, discretebar); - nv.utils.initOptions(chart); - - return chart; -} - -nv.models.distribution = function() { - "use strict"; - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = 400 //technically width or height depending on x or y.... - , size = 8 - , axis = 'x' // 'x' or 'y'... horizontal or vertical - , getData = function(d) { return d[axis] } // defaults d.x or d.y - , color = nv.utils.defaultColor() - , scale = d3.scale.linear() - , domain - , duration = 250 - , dispatch = d3.dispatch('renderEnd') - ; - - //============================================================ - - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var scale0; - var renderWatch = nv.utils.renderWatch(dispatch, duration); - - //============================================================ - - - function chart(selection) { - renderWatch.reset(); - selection.each(function(data) { - var availableLength = width - (axis === 'x' ? margin.left + margin.right : margin.top + margin.bottom), - naxis = axis == 'x' ? 'y' : 'x', - container = d3.select(this); - nv.utils.initSVG(container); - - //------------------------------------------------------------ - // Setup Scales - - scale0 = scale0 || scale; - - //------------------------------------------------------------ - - - //------------------------------------------------------------ - // Setup containers and skeleton of chart - - var wrap = container.selectAll('g.nv-distribution').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-distribution'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')') - - //------------------------------------------------------------ - - - var distWrap = g.selectAll('g.nv-dist') - .data(function(d) { return d }, function(d) { return d.key }); - - distWrap.enter().append('g'); - distWrap - .attr('class', function(d,i) { return 'nv-dist nv-series-' + i }) - .style('stroke', function(d,i) { return color(d, i) }); - - var dist = distWrap.selectAll('line.nv-dist' + axis) - .data(function(d) { return d.values }) - dist.enter().append('line') - .attr(axis + '1', function(d,i) { return scale0(getData(d,i)) }) - .attr(axis + '2', function(d,i) { return scale0(getData(d,i)) }) - renderWatch.transition(distWrap.exit().selectAll('line.nv-dist' + axis), 'dist exit') - // .transition() - .attr(axis + '1', function(d,i) { return scale(getData(d,i)) }) - .attr(axis + '2', function(d,i) { return scale(getData(d,i)) }) - .style('stroke-opacity', 0) - .remove(); - dist - .attr('class', function(d,i) { return 'nv-dist' + axis + ' nv-dist' + axis + '-' + i }) - .attr(naxis + '1', 0) - .attr(naxis + '2', size); - renderWatch.transition(dist, 'dist') - // .transition() - .attr(axis + '1', function(d,i) { return scale(getData(d,i)) }) - .attr(axis + '2', function(d,i) { return scale(getData(d,i)) }) - - - scale0 = scale.copy(); - - }); - renderWatch.renderEnd('distribution immediate'); - return chart; - } - - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - chart.options = nv.utils.optionsFunc.bind(chart); - chart.dispatch = dispatch; - - chart.margin = function(_) { - if (!arguments.length) return margin; - margin.top = typeof _.top != 'undefined' ? _.top : margin.top; - margin.right = typeof _.right != 'undefined' ? _.right : margin.right; - margin.bottom = typeof _.bottom != 'undefined' ? _.bottom : margin.bottom; - margin.left = typeof _.left != 'undefined' ? _.left : margin.left; - return chart; - }; - - chart.width = function(_) { - if (!arguments.length) return width; - width = _; - return chart; - }; - - chart.axis = function(_) { - if (!arguments.length) return axis; - axis = _; - return chart; - }; - - chart.size = function(_) { - if (!arguments.length) return size; - size = _; - return chart; - }; - - chart.getData = function(_) { - if (!arguments.length) return getData; - getData = d3.functor(_); - return chart; - }; - - chart.scale = function(_) { - if (!arguments.length) return scale; - scale = _; - return chart; - }; - - chart.color = function(_) { - if (!arguments.length) return color; - color = nv.utils.getColor(_); - return chart; - }; - - chart.duration = function(_) { - if (!arguments.length) return duration; - duration = _; - renderWatch.reset(duration); - return chart; - }; - //============================================================ - - - return chart; -} -nv.models.furiousLegend = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 5, right: 0, bottom: 5, left: 0} - , width = 400 - , height = 20 - , getKey = function(d) { return d.key } - , color = nv.utils.getColor() - , align = true - , padding = 28 //define how much space between legend items. - recommend 32 for furious version - , rightAlign = true - , updateState = true //If true, legend will update data.disabled and trigger a 'stateChange' dispatch. - , radioButtonMode = false //If true, clicking legend items will cause it to behave like a radio button. (only one can be selected at a time) - , expanded = false - , dispatch = d3.dispatch('legendClick', 'legendDblclick', 'legendMouseover', 'legendMouseout', 'stateChange') - , vers = 'classic' //Options are "classic" and "furious" - ; - - function chart(selection) { - selection.each(function(data) { - var availableWidth = width - margin.left - margin.right, - container = d3.select(this); - nv.utils.initSVG(container); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-legend').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-legend').append('g'); - var g = wrap.select('g'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - var series = g.selectAll('.nv-series') - .data(function(d) { - if(vers != 'furious') return d; - - return d.filter(function(n) { - return expanded ? true : !n.disengaged; - }); - }); - var seriesEnter = series.enter().append('g').attr('class', 'nv-series') - - var seriesShape; - - if(vers == 'classic') { - seriesEnter.append('circle') - .style('stroke-width', 2) - .attr('class','nv-legend-symbol') - .attr('r', 5); - - seriesShape = series.select('circle'); - } else if (vers == 'furious') { - seriesEnter.append('rect') - .style('stroke-width', 2) - .attr('class','nv-legend-symbol') - .attr('rx', 3) - .attr('ry', 3); - - seriesShape = series.select('rect'); - - seriesEnter.append('g') - .attr('class', 'nv-check-box') - .property('innerHTML','<path d="M0.5,5 L22.5,5 L22.5,26.5 L0.5,26.5 L0.5,5 Z" class="nv-box"></path><path d="M5.5,12.8618467 L11.9185089,19.2803556 L31,0.198864511" class="nv-check"></path>') - .attr('transform', 'translate(-10,-8)scale(0.5)'); - - var seriesCheckbox = series.select('.nv-check-box'); - - seriesCheckbox.each(function(d,i) { - d3.select(this).selectAll('path') - .attr('stroke', setTextColor(d,i)); - }); - } - - seriesEnter.append('text') - .attr('text-anchor', 'start') - .attr('class','nv-legend-text') - .attr('dy', '.32em') - .attr('dx', '8'); - - var seriesText = series.select('text.nv-legend-text'); - - series - .on('mouseover', function(d,i) { - dispatch.legendMouseover(d,i); //TODO: Make consistent with other event objects - }) - .on('mouseout', function(d,i) { - dispatch.legendMouseout(d,i); - }) - .on('click', function(d,i) { - dispatch.legendClick(d,i); - // make sure we re-get data in case it was modified - var data = series.data(); - if (updateState) { - if(vers =='classic') { - if (radioButtonMode) { - //Radio button mode: set every series to disabled, - // and enable the clicked series. - data.forEach(function(series) { series.disabled = true}); - d.disabled = false; - } - else { - d.disabled = !d.disabled; - if (data.every(function(series) { return series.disabled})) { - //the default behavior of NVD3 legends is, if every single series - // is disabled, turn all series' back on. - data.forEach(function(series) { series.disabled = false}); - } - } - } else if(vers == 'furious') { - if(expanded) { - d.disengaged = !d.disengaged; - d.userDisabled = d.userDisabled == undefined ? !!d.disabled : d.userDisabled; - d.disabled = d.disengaged || d.userDisabled; - } else if (!expanded) { - d.disabled = !d.disabled; - d.userDisabled = d.disabled; - var engaged = data.filter(function(d) { return !d.disengaged; }); - if (engaged.every(function(series) { return series.userDisabled })) { - //the default behavior of NVD3 legends is, if every single series - // is disabled, turn all series' back on. - data.forEach(function(series) { - series.disabled = series.userDisabled = false; - }); - } - } - } - dispatch.stateChange({ - disabled: data.map(function(d) { return !!d.disabled }), - disengaged: data.map(function(d) { return !!d.disengaged }) - }); - - } - }) - .on('dblclick', function(d,i) { - if(vers == 'furious' && expanded) return; - dispatch.legendDblclick(d,i); - if (updateState) { - // make sure we re-get data in case it was modified - var data = series.data(); - //the default behavior of NVD3 legends, when double clicking one, - // is to set all other series' to false, and make the double clicked series enabled. - data.forEach(function(series) { - series.disabled = true; - if(vers == 'furious') series.userDisabled = series.disabled; - }); - d.disabled = false; - if(vers == 'furious') d.userDisabled = d.disabled; - dispatch.stateChange({ - disabled: data.map(function(d) { return !!d.disabled }) - }); - } - }); - - series.classed('nv-disabled', function(d) { return d.userDisabled }); - series.exit().remove(); - - seriesText - .attr('fill', setTextColor) - .text(getKey); - - //TODO: implement fixed-width and max-width options (max-width is especially useful with the align option) - // NEW ALIGNING CODE, TODO: clean up - - var versPadding; - switch(vers) { - case 'furious' : - versPadding = 23; - break; - case 'classic' : - versPadding = 20; - } - - if (align) { - - var seriesWidths = []; - series.each(function(d,i) { - var legendText = d3.select(this).select('text'); - var nodeTextLength; - try { - nodeTextLength = legendText.node().getComputedTextLength(); - // If the legendText is display:none'd (nodeTextLength == 0), simulate an error so we approximate, instead - if(nodeTextLength <= 0) throw Error(); - } - catch(e) { - nodeTextLength = nv.utils.calcApproxTextWidth(legendText); - } - - seriesWidths.push(nodeTextLength + padding); - }); - - var seriesPerRow = 0; - var legendWidth = 0; - var columnWidths = []; - - while ( legendWidth < availableWidth && seriesPerRow < seriesWidths.length) { - columnWidths[seriesPerRow] = seriesWidths[seriesPerRow]; - legendWidth += seriesWidths[seriesPerRow++]; - } - if (seriesPerRow === 0) seriesPerRow = 1; //minimum of one series per row - - while ( legendWidth > availableWidth && seriesPerRow > 1 ) { - columnWidths = []; - seriesPerRow--; - - for (var k = 0; k < seriesWidths.length; k++) { - if (seriesWidths[k] > (columnWidths[k % seriesPerRow] || 0) ) - columnWidths[k % seriesPerRow] = seriesWidths[k]; - } - - legendWidth = columnWidths.reduce(function(prev, cur, index, array) { - return prev + cur; - }); - } - - var xPositions = []; - for (var i = 0, curX = 0; i < seriesPerRow; i++) { - xPositions[i] = curX; - curX += columnWidths[i]; - } - - series - .attr('transform', function(d, i) { - return 'translate(' + xPositions[i % seriesPerRow] + ',' + (5 + Math.floor(i / seriesPerRow) * versPadding) + ')'; - }); - - //position legend as far right as possible within the total width - if (rightAlign) { - g.attr('transform', 'translate(' + (width - margin.right - legendWidth) + ',' + margin.top + ')'); - } - else { - g.attr('transform', 'translate(0' + ',' + margin.top + ')'); - } - - height = margin.top + margin.bottom + (Math.ceil(seriesWidths.length / seriesPerRow) * versPadding); - - } else { - - var ypos = 5, - newxpos = 5, - maxwidth = 0, - xpos; - series - .attr('transform', function(d, i) { - var length = d3.select(this).select('text').node().getComputedTextLength() + padding; - xpos = newxpos; - - if (width < margin.left + margin.right + xpos + length) { - newxpos = xpos = 5; - ypos += versPadding; - } - - newxpos += length; - if (newxpos > maxwidth) maxwidth = newxpos; - - return 'translate(' + xpos + ',' + ypos + ')'; - }); - - //position legend as far right as possible within the total width - g.attr('transform', 'translate(' + (width - margin.right - maxwidth) + ',' + margin.top + ')'); - - height = margin.top + margin.bottom + ypos + 15; - } - - if(vers == 'furious') { - // Size rectangles after text is placed - seriesShape - .attr('width', function(d,i) { - return seriesText[0][i].getComputedTextLength() + 27; - }) - .attr('height', 18) - .attr('y', -9) - .attr('x', -15) - } - - seriesShape - .style('fill', setBGColor) - .style('stroke', function(d,i) { return d.color || color(d, i) }); - }); - - function setTextColor(d,i) { - if(vers != 'furious') return '#000'; - if(expanded) { - return d.disengaged ? color(d,i) : '#fff'; - } else if (!expanded) { - return !!d.disabled ? color(d,i) : '#fff'; - } - } - - function setBGColor(d,i) { - if(expanded && vers == 'furious') { - return d.disengaged ? '#fff' : color(d,i); - } else { - return !!d.disabled ? '#fff' : color(d,i); - } - } - - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - key: {get: function(){return getKey;}, set: function(_){getKey=_;}}, - align: {get: function(){return align;}, set: function(_){align=_;}}, - rightAlign: {get: function(){return rightAlign;}, set: function(_){rightAlign=_;}}, - padding: {get: function(){return padding;}, set: function(_){padding=_;}}, - updateState: {get: function(){return updateState;}, set: function(_){updateState=_;}}, - radioButtonMode: {get: function(){return radioButtonMode;}, set: function(_){radioButtonMode=_;}}, - expanded: {get: function(){return expanded;}, set: function(_){expanded=_;}}, - vers: {get: function(){return vers;}, set: function(_){vers=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }} - }); - - nv.utils.initOptions(chart); - - return chart; -}; -//TODO: consider deprecating and using multibar with single series for this -nv.models.historicalBar = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = null - , height = null - , id = Math.floor(Math.random() * 10000) //Create semi-unique ID in case user doesn't select one - , container = null - , x = d3.scale.linear() - , y = d3.scale.linear() - , getX = function(d) { return d.x } - , getY = function(d) { return d.y } - , forceX = [] - , forceY = [0] - , padData = false - , clipEdge = true - , color = nv.utils.defaultColor() - , xDomain - , yDomain - , xRange - , yRange - , dispatch = d3.dispatch('chartClick', 'elementClick', 'elementDblClick', 'elementMouseover', 'elementMouseout', 'elementMousemove', 'renderEnd') - , interactive = true - ; - - var renderWatch = nv.utils.renderWatch(dispatch, 0); - - function chart(selection) { - selection.each(function(data) { - renderWatch.reset(); - - container = d3.select(this); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - nv.utils.initSVG(container); - - // Setup Scales - x.domain(xDomain || d3.extent(data[0].values.map(getX).concat(forceX) )); - - if (padData) - x.range(xRange || [availableWidth * .5 / data[0].values.length, availableWidth * (data[0].values.length - .5) / data[0].values.length ]); - else - x.range(xRange || [0, availableWidth]); - - y.domain(yDomain || d3.extent(data[0].values.map(getY).concat(forceY) )) - .range(yRange || [availableHeight, 0]); - - // If scale's domain don't have a range, slightly adjust to make one... so a chart can show a single data point - if (x.domain()[0] === x.domain()[1]) - x.domain()[0] ? - x.domain([x.domain()[0] - x.domain()[0] * 0.01, x.domain()[1] + x.domain()[1] * 0.01]) - : x.domain([-1,1]); - - if (y.domain()[0] === y.domain()[1]) - y.domain()[0] ? - y.domain([y.domain()[0] + y.domain()[0] * 0.01, y.domain()[1] - y.domain()[1] * 0.01]) - : y.domain([-1,1]); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-historicalBar-' + id).data([data[0].values]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-historicalBar-' + id); - var defsEnter = wrapEnter.append('defs'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-bars'); - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - container - .on('click', function(d,i) { - dispatch.chartClick({ - data: d, - index: i, - pos: d3.event, - id: id - }); - }); - - defsEnter.append('clipPath') - .attr('id', 'nv-chart-clip-path-' + id) - .append('rect'); - - wrap.select('#nv-chart-clip-path-' + id + ' rect') - .attr('width', availableWidth) - .attr('height', availableHeight); - - g.attr('clip-path', clipEdge ? 'url(#nv-chart-clip-path-' + id + ')' : ''); - - var bars = wrap.select('.nv-bars').selectAll('.nv-bar') - .data(function(d) { return d }, function(d,i) {return getX(d,i)}); - bars.exit().remove(); - - bars.enter().append('rect') - .attr('x', 0 ) - .attr('y', function(d,i) { return nv.utils.NaNtoZero(y(Math.max(0, getY(d,i)))) }) - .attr('height', function(d,i) { return nv.utils.NaNtoZero(Math.abs(y(getY(d,i)) - y(0))) }) - .attr('transform', function(d,i) { return 'translate(' + (x(getX(d,i)) - availableWidth / data[0].values.length * .45) + ',0)'; }) - .on('mouseover', function(d,i) { - if (!interactive) return; - d3.select(this).classed('hover', true); - dispatch.elementMouseover({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - - }) - .on('mouseout', function(d,i) { - if (!interactive) return; - d3.select(this).classed('hover', false); - dispatch.elementMouseout({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('mousemove', function(d,i) { - if (!interactive) return; - dispatch.elementMousemove({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('click', function(d,i) { - if (!interactive) return; - dispatch.elementClick({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - d3.event.stopPropagation(); - }) - .on('dblclick', function(d,i) { - if (!interactive) return; - dispatch.elementDblClick({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - d3.event.stopPropagation(); - }); - - bars - .attr('fill', function(d,i) { return color(d, i); }) - .attr('class', function(d,i,j) { return (getY(d,i) < 0 ? 'nv-bar negative' : 'nv-bar positive') + ' nv-bar-' + j + '-' + i }) - .watchTransition(renderWatch, 'bars') - .attr('transform', function(d,i) { return 'translate(' + (x(getX(d,i)) - availableWidth / data[0].values.length * .45) + ',0)'; }) - //TODO: better width calculations that don't assume always uniform data spacing;w - .attr('width', (availableWidth / data[0].values.length) * .9 ); - - bars.watchTransition(renderWatch, 'bars') - .attr('y', function(d,i) { - var rval = getY(d,i) < 0 ? - y(0) : - y(0) - y(getY(d,i)) < 1 ? - y(0) - 1 : - y(getY(d,i)); - return nv.utils.NaNtoZero(rval); - }) - .attr('height', function(d,i) { return nv.utils.NaNtoZero(Math.max(Math.abs(y(getY(d,i)) - y(0)),1)) }); - - }); - - renderWatch.renderEnd('historicalBar immediate'); - return chart; - } - - //Create methods to allow outside functions to highlight a specific bar. - chart.highlightPoint = function(pointIndex, isHoverOver) { - container - .select(".nv-bars .nv-bar-0-" + pointIndex) - .classed("hover", isHoverOver) - ; - }; - - chart.clearHighlights = function() { - container - .select(".nv-bars .nv-bar.hover") - .classed("hover", false) - ; - }; - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - forceX: {get: function(){return forceX;}, set: function(_){forceX=_;}}, - forceY: {get: function(){return forceY;}, set: function(_){forceY=_;}}, - padData: {get: function(){return padData;}, set: function(_){padData=_;}}, - x: {get: function(){return getX;}, set: function(_){getX=_;}}, - y: {get: function(){return getY;}, set: function(_){getY=_;}}, - xScale: {get: function(){return x;}, set: function(_){x=_;}}, - yScale: {get: function(){return y;}, set: function(_){y=_;}}, - xDomain: {get: function(){return xDomain;}, set: function(_){xDomain=_;}}, - yDomain: {get: function(){return yDomain;}, set: function(_){yDomain=_;}}, - xRange: {get: function(){return xRange;}, set: function(_){xRange=_;}}, - yRange: {get: function(){return yRange;}, set: function(_){yRange=_;}}, - clipEdge: {get: function(){return clipEdge;}, set: function(_){clipEdge=_;}}, - id: {get: function(){return id;}, set: function(_){id=_;}}, - interactive: {get: function(){return interactive;}, set: function(_){interactive=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }} - }); - - nv.utils.initOptions(chart); - - return chart; -}; - -nv.models.historicalBarChart = function(bar_model) { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var bars = bar_model || nv.models.historicalBar() - , xAxis = nv.models.axis() - , yAxis = nv.models.axis() - , legend = nv.models.legend() - , interactiveLayer = nv.interactiveGuideline() - , tooltip = nv.models.tooltip() - ; - - - var margin = {top: 30, right: 90, bottom: 50, left: 90} - , color = nv.utils.defaultColor() - , width = null - , height = null - , showLegend = false - , showXAxis = true - , showYAxis = true - , rightAlignYAxis = false - , useInteractiveGuideline = false - , x - , y - , state = {} - , defaultState = null - , noData = null - , dispatch = d3.dispatch('tooltipHide', 'stateChange', 'changeState', 'renderEnd') - , transitionDuration = 250 - ; - - xAxis.orient('bottom').tickPadding(7); - yAxis.orient( (rightAlignYAxis) ? 'right' : 'left'); - tooltip - .duration(0) - .headerEnabled(false) - .valueFormatter(function(d, i) { - return yAxis.tickFormat()(d, i); - }) - .headerFormatter(function(d, i) { - return xAxis.tickFormat()(d, i); - }); - - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var renderWatch = nv.utils.renderWatch(dispatch, 0); - - function chart(selection) { - selection.each(function(data) { - renderWatch.reset(); - renderWatch.models(bars); - if (showXAxis) renderWatch.models(xAxis); - if (showYAxis) renderWatch.models(yAxis); - - var container = d3.select(this), - that = this; - nv.utils.initSVG(container); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - chart.update = function() { container.transition().duration(transitionDuration).call(chart) }; - chart.container = this; - - //set state.disabled - state.disabled = data.map(function(d) { return !!d.disabled }); - - if (!defaultState) { - var key; - defaultState = {}; - for (key in state) { - if (state[key] instanceof Array) - defaultState[key] = state[key].slice(0); - else - defaultState[key] = state[key]; - } - } - - // Display noData message if there's nothing to show. - if (!data || !data.length || !data.filter(function(d) { return d.values.length }).length) { - nv.utils.noData(chart, container) - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup Scales - x = bars.xScale(); - y = bars.yScale(); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-historicalBarChart').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-historicalBarChart').append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-x nv-axis'); - gEnter.append('g').attr('class', 'nv-y nv-axis'); - gEnter.append('g').attr('class', 'nv-barsWrap'); - gEnter.append('g').attr('class', 'nv-legendWrap'); - gEnter.append('g').attr('class', 'nv-interactive'); - - // Legend - if (showLegend) { - legend.width(availableWidth); - - g.select('.nv-legendWrap') - .datum(data) - .call(legend); - - if ( margin.top != legend.height()) { - margin.top = legend.height(); - availableHeight = nv.utils.availableHeight(height, container, margin); - } - - wrap.select('.nv-legendWrap') - .attr('transform', 'translate(0,' + (-margin.top) +')') - } - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - if (rightAlignYAxis) { - g.select(".nv-y.nv-axis") - .attr("transform", "translate(" + availableWidth + ",0)"); - } - - //Set up interactive layer - if (useInteractiveGuideline) { - interactiveLayer - .width(availableWidth) - .height(availableHeight) - .margin({left:margin.left, top:margin.top}) - .svgContainer(container) - .xScale(x); - wrap.select(".nv-interactive").call(interactiveLayer); - } - bars - .width(availableWidth) - .height(availableHeight) - .color(data.map(function(d,i) { - return d.color || color(d, i); - }).filter(function(d,i) { return !data[i].disabled })); - - var barsWrap = g.select('.nv-barsWrap') - .datum(data.filter(function(d) { return !d.disabled })); - barsWrap.transition().call(bars); - - // Setup Axes - if (showXAxis) { - xAxis - .scale(x) - ._ticks( nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize(-availableHeight, 0); - - g.select('.nv-x.nv-axis') - .attr('transform', 'translate(0,' + y.range()[0] + ')'); - g.select('.nv-x.nv-axis') - .transition() - .call(xAxis); - } - - if (showYAxis) { - yAxis - .scale(y) - ._ticks( nv.utils.calcTicksY(availableHeight/36, data) ) - .tickSize( -availableWidth, 0); - - g.select('.nv-y.nv-axis') - .transition() - .call(yAxis); - } - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - - interactiveLayer.dispatch.on('elementMousemove', function(e) { - bars.clearHighlights(); - - var singlePoint, pointIndex, pointXLocation, allData = []; - data - .filter(function(series, i) { - series.seriesIndex = i; - return !series.disabled; - }) - .forEach(function(series,i) { - pointIndex = nv.interactiveBisect(series.values, e.pointXValue, chart.x()); - bars.highlightPoint(pointIndex,true); - var point = series.values[pointIndex]; - if (point === undefined) return; - if (singlePoint === undefined) singlePoint = point; - if (pointXLocation === undefined) pointXLocation = chart.xScale()(chart.x()(point,pointIndex)); - allData.push({ - key: series.key, - value: chart.y()(point, pointIndex), - color: color(series,series.seriesIndex), - data: series.values[pointIndex] - }); - }); - - var xValue = xAxis.tickFormat()(chart.x()(singlePoint,pointIndex)); - interactiveLayer.tooltip - .position({left: pointXLocation + margin.left, top: e.mouseY + margin.top}) - .chartContainer(that.parentNode) - .valueFormatter(function(d,i) { - return yAxis.tickFormat()(d); - }) - .data({ - value: xValue, - index: pointIndex, - series: allData - })(); - - interactiveLayer.renderGuideLine(pointXLocation); - - }); - - interactiveLayer.dispatch.on("elementMouseout",function(e) { - dispatch.tooltipHide(); - bars.clearHighlights(); - }); - - legend.dispatch.on('legendClick', function(d,i) { - d.disabled = !d.disabled; - - if (!data.filter(function(d) { return !d.disabled }).length) { - data.map(function(d) { - d.disabled = false; - wrap.selectAll('.nv-series').classed('disabled', false); - return d; - }); - } - - state.disabled = data.map(function(d) { return !!d.disabled }); - dispatch.stateChange(state); - - selection.transition().call(chart); - }); - - legend.dispatch.on('legendDblclick', function(d) { - //Double clicking should always enable current series, and disabled all others. - data.forEach(function(d) { - d.disabled = true; - }); - d.disabled = false; - - state.disabled = data.map(function(d) { return !!d.disabled }); - dispatch.stateChange(state); - chart.update(); - }); - - dispatch.on('changeState', function(e) { - if (typeof e.disabled !== 'undefined') { - data.forEach(function(series,i) { - series.disabled = e.disabled[i]; - }); - - state.disabled = e.disabled; - } - - chart.update(); - }); - }); - - renderWatch.renderEnd('historicalBarChart immediate'); - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - bars.dispatch.on('elementMouseover.tooltip', function(evt) { - evt['series'] = { - key: chart.x()(evt.data), - value: chart.y()(evt.data), - color: evt.color - }; - tooltip.data(evt).hidden(false); - }); - - bars.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true); - }); - - bars.dispatch.on('elementMousemove.tooltip', function(evt) { - tooltip.position({top: d3.event.pageY, left: d3.event.pageX})(); - }); - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.dispatch = dispatch; - chart.bars = bars; - chart.legend = legend; - chart.xAxis = xAxis; - chart.yAxis = yAxis; - chart.interactiveLayer = interactiveLayer; - chart.tooltip = tooltip; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - showLegend: {get: function(){return showLegend;}, set: function(_){showLegend=_;}}, - showXAxis: {get: function(){return showXAxis;}, set: function(_){showXAxis=_;}}, - showYAxis: {get: function(){return showYAxis;}, set: function(_){showYAxis=_;}}, - defaultState: {get: function(){return defaultState;}, set: function(_){defaultState=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - legend.color(color); - bars.color(color); - }}, - duration: {get: function(){return transitionDuration;}, set: function(_){ - transitionDuration=_; - renderWatch.reset(transitionDuration); - yAxis.duration(transitionDuration); - xAxis.duration(transitionDuration); - }}, - rightAlignYAxis: {get: function(){return rightAlignYAxis;}, set: function(_){ - rightAlignYAxis = _; - yAxis.orient( (_) ? 'right' : 'left'); - }}, - useInteractiveGuideline: {get: function(){return useInteractiveGuideline;}, set: function(_){ - useInteractiveGuideline = _; - if (_ === true) { - chart.interactive(false); - } - }} - }); - - nv.utils.inheritOptions(chart, bars); - nv.utils.initOptions(chart); - - return chart; -}; - - -// ohlcChart is just a historical chart with ohlc bars and some tweaks -nv.models.ohlcBarChart = function() { - var chart = nv.models.historicalBarChart(nv.models.ohlcBar()); - - // special default tooltip since we show multiple values per x - chart.useInteractiveGuideline(true); - chart.interactiveLayer.tooltip.contentGenerator(function(data) { - // we assume only one series exists for this chart - var d = data.series[0].data; - // match line colors as defined in nv.d3.css - var color = d.open < d.close ? "2ca02c" : "d62728"; - return '' + - '<h3 style="color: #' + color + '">' + data.value + '</h3>' + - '<table>' + - '<tr><td>open:</td><td>' + chart.yAxis.tickFormat()(d.open) + '</td></tr>' + - '<tr><td>close:</td><td>' + chart.yAxis.tickFormat()(d.close) + '</td></tr>' + - '<tr><td>high</td><td>' + chart.yAxis.tickFormat()(d.high) + '</td></tr>' + - '<tr><td>low:</td><td>' + chart.yAxis.tickFormat()(d.low) + '</td></tr>' + - '</table>'; - }); - return chart; -}; - -// candlestickChart is just a historical chart with candlestick bars and some tweaks -nv.models.candlestickBarChart = function() { - var chart = nv.models.historicalBarChart(nv.models.candlestickBar()); - - // special default tooltip since we show multiple values per x - chart.useInteractiveGuideline(true); - chart.interactiveLayer.tooltip.contentGenerator(function(data) { - // we assume only one series exists for this chart - var d = data.series[0].data; - // match line colors as defined in nv.d3.css - var color = d.open < d.close ? "2ca02c" : "d62728"; - return '' + - '<h3 style="color: #' + color + '">' + data.value + '</h3>' + - '<table>' + - '<tr><td>open:</td><td>' + chart.yAxis.tickFormat()(d.open) + '</td></tr>' + - '<tr><td>close:</td><td>' + chart.yAxis.tickFormat()(d.close) + '</td></tr>' + - '<tr><td>high</td><td>' + chart.yAxis.tickFormat()(d.high) + '</td></tr>' + - '<tr><td>low:</td><td>' + chart.yAxis.tickFormat()(d.low) + '</td></tr>' + - '</table>'; - }); - return chart; -}; -nv.models.legend = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 5, right: 0, bottom: 5, left: 0} - , width = 400 - , height = 20 - , getKey = function(d) { return d.key } - , color = nv.utils.getColor() - , align = true - , padding = 32 //define how much space between legend items. - recommend 32 for furious version - , rightAlign = true - , updateState = true //If true, legend will update data.disabled and trigger a 'stateChange' dispatch. - , radioButtonMode = false //If true, clicking legend items will cause it to behave like a radio button. (only one can be selected at a time) - , expanded = false - , dispatch = d3.dispatch('legendClick', 'legendDblclick', 'legendMouseover', 'legendMouseout', 'stateChange') - , vers = 'classic' //Options are "classic" and "furious" - ; - - function chart(selection) { - selection.each(function(data) { - var availableWidth = width - margin.left - margin.right, - container = d3.select(this); - nv.utils.initSVG(container); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-legend').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-legend').append('g'); - var g = wrap.select('g'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - var series = g.selectAll('.nv-series') - .data(function(d) { - if(vers != 'furious') return d; - - return d.filter(function(n) { - return expanded ? true : !n.disengaged; - }); - }); - - var seriesEnter = series.enter().append('g').attr('class', 'nv-series'); - var seriesShape; - - var versPadding; - switch(vers) { - case 'furious' : - versPadding = 23; - break; - case 'classic' : - versPadding = 20; - } - - if(vers == 'classic') { - seriesEnter.append('circle') - .style('stroke-width', 2) - .attr('class','nv-legend-symbol') - .attr('r', 5); - - seriesShape = series.select('circle'); - } else if (vers == 'furious') { - seriesEnter.append('rect') - .style('stroke-width', 2) - .attr('class','nv-legend-symbol') - .attr('rx', 3) - .attr('ry', 3); - - seriesShape = series.select('.nv-legend-symbol'); - - seriesEnter.append('g') - .attr('class', 'nv-check-box') - .property('innerHTML','<path d="M0.5,5 L22.5,5 L22.5,26.5 L0.5,26.5 L0.5,5 Z" class="nv-box"></path><path d="M5.5,12.8618467 L11.9185089,19.2803556 L31,0.198864511" class="nv-check"></path>') - .attr('transform', 'translate(-10,-8)scale(0.5)'); - - var seriesCheckbox = series.select('.nv-check-box'); - - seriesCheckbox.each(function(d,i) { - d3.select(this).selectAll('path') - .attr('stroke', setTextColor(d,i)); - }); - } - - seriesEnter.append('text') - .attr('text-anchor', 'start') - .attr('class','nv-legend-text') - .attr('dy', '.32em') - .attr('dx', '8'); - - var seriesText = series.select('text.nv-legend-text'); - - series - .on('mouseover', function(d,i) { - dispatch.legendMouseover(d,i); //TODO: Make consistent with other event objects - }) - .on('mouseout', function(d,i) { - dispatch.legendMouseout(d,i); - }) - .on('click', function(d,i) { - dispatch.legendClick(d,i); - // make sure we re-get data in case it was modified - var data = series.data(); - if (updateState) { - if(vers =='classic') { - if (radioButtonMode) { - //Radio button mode: set every series to disabled, - // and enable the clicked series. - data.forEach(function(series) { series.disabled = true}); - d.disabled = false; - } - else { - d.disabled = !d.disabled; - if (data.every(function(series) { return series.disabled})) { - //the default behavior of NVD3 legends is, if every single series - // is disabled, turn all series' back on. - data.forEach(function(series) { series.disabled = false}); - } - } - } else if(vers == 'furious') { - if(expanded) { - d.disengaged = !d.disengaged; - d.userDisabled = d.userDisabled == undefined ? !!d.disabled : d.userDisabled; - d.disabled = d.disengaged || d.userDisabled; - } else if (!expanded) { - d.disabled = !d.disabled; - d.userDisabled = d.disabled; - var engaged = data.filter(function(d) { return !d.disengaged; }); - if (engaged.every(function(series) { return series.userDisabled })) { - //the default behavior of NVD3 legends is, if every single series - // is disabled, turn all series' back on. - data.forEach(function(series) { - series.disabled = series.userDisabled = false; - }); - } - } - } - dispatch.stateChange({ - disabled: data.map(function(d) { return !!d.disabled }), - disengaged: data.map(function(d) { return !!d.disengaged }) - }); - - } - }) - .on('dblclick', function(d,i) { - if(vers == 'furious' && expanded) return; - dispatch.legendDblclick(d,i); - if (updateState) { - // make sure we re-get data in case it was modified - var data = series.data(); - //the default behavior of NVD3 legends, when double clicking one, - // is to set all other series' to false, and make the double clicked series enabled. - data.forEach(function(series) { - series.disabled = true; - if(vers == 'furious') series.userDisabled = series.disabled; - }); - d.disabled = false; - if(vers == 'furious') d.userDisabled = d.disabled; - dispatch.stateChange({ - disabled: data.map(function(d) { return !!d.disabled }) - }); - } - }); - - series.classed('nv-disabled', function(d) { return d.userDisabled }); - series.exit().remove(); - - seriesText - .attr('fill', setTextColor) - .text(getKey); - - //TODO: implement fixed-width and max-width options (max-width is especially useful with the align option) - // NEW ALIGNING CODE, TODO: clean up - var legendWidth = 0; - if (align) { - - var seriesWidths = []; - series.each(function(d,i) { - var legendText = d3.select(this).select('text'); - var nodeTextLength; - try { - nodeTextLength = legendText.node().getComputedTextLength(); - // If the legendText is display:none'd (nodeTextLength == 0), simulate an error so we approximate, instead - if(nodeTextLength <= 0) throw Error(); - } - catch(e) { - nodeTextLength = nv.utils.calcApproxTextWidth(legendText); - } - - seriesWidths.push(nodeTextLength + padding); - }); - - var seriesPerRow = 0; - var columnWidths = []; - legendWidth = 0; - - while ( legendWidth < availableWidth && seriesPerRow < seriesWidths.length) { - columnWidths[seriesPerRow] = seriesWidths[seriesPerRow]; - legendWidth += seriesWidths[seriesPerRow++]; - } - if (seriesPerRow === 0) seriesPerRow = 1; //minimum of one series per row - - while ( legendWidth > availableWidth && seriesPerRow > 1 ) { - columnWidths = []; - seriesPerRow--; - - for (var k = 0; k < seriesWidths.length; k++) { - if (seriesWidths[k] > (columnWidths[k % seriesPerRow] || 0) ) - columnWidths[k % seriesPerRow] = seriesWidths[k]; - } - - legendWidth = columnWidths.reduce(function(prev, cur, index, array) { - return prev + cur; - }); - } - - var xPositions = []; - for (var i = 0, curX = 0; i < seriesPerRow; i++) { - xPositions[i] = curX; - curX += columnWidths[i]; - } - - series - .attr('transform', function(d, i) { - return 'translate(' + xPositions[i % seriesPerRow] + ',' + (5 + Math.floor(i / seriesPerRow) * versPadding) + ')'; - }); - - //position legend as far right as possible within the total width - if (rightAlign) { - g.attr('transform', 'translate(' + (width - margin.right - legendWidth) + ',' + margin.top + ')'); - } - else { - g.attr('transform', 'translate(0' + ',' + margin.top + ')'); - } - - height = margin.top + margin.bottom + (Math.ceil(seriesWidths.length / seriesPerRow) * versPadding); - - } else { - - var ypos = 5, - newxpos = 5, - maxwidth = 0, - xpos; - series - .attr('transform', function(d, i) { - var length = d3.select(this).select('text').node().getComputedTextLength() + padding; - xpos = newxpos; - - if (width < margin.left + margin.right + xpos + length) { - newxpos = xpos = 5; - ypos += versPadding; - } - - newxpos += length; - if (newxpos > maxwidth) maxwidth = newxpos; - - if(legendWidth < xpos + maxwidth) { - legendWidth = xpos + maxwidth; - } - return 'translate(' + xpos + ',' + ypos + ')'; - }); - - //position legend as far right as possible within the total width - g.attr('transform', 'translate(' + (width - margin.right - maxwidth) + ',' + margin.top + ')'); - - height = margin.top + margin.bottom + ypos + 15; - } - - if(vers == 'furious') { - // Size rectangles after text is placed - seriesShape - .attr('width', function(d,i) { - return seriesText[0][i].getComputedTextLength() + 27; - }) - .attr('height', 18) - .attr('y', -9) - .attr('x', -15); - - // The background for the expanded legend (UI) - gEnter.insert('rect',':first-child') - .attr('class', 'nv-legend-bg') - .attr('fill', '#eee') - // .attr('stroke', '#444') - .attr('opacity',0); - - var seriesBG = g.select('.nv-legend-bg'); - - seriesBG - .transition().duration(300) - .attr('x', -versPadding ) - .attr('width', legendWidth + versPadding - 12) - .attr('height', height + 10) - .attr('y', -margin.top - 10) - .attr('opacity', expanded ? 1 : 0); - - - } - - seriesShape - .style('fill', setBGColor) - .style('fill-opacity', setBGOpacity) - .style('stroke', setBGColor); - }); - - function setTextColor(d,i) { - if(vers != 'furious') return '#000'; - if(expanded) { - return d.disengaged ? '#000' : '#fff'; - } else if (!expanded) { - if(!d.color) d.color = color(d,i); - return !!d.disabled ? d.color : '#fff'; - } - } - - function setBGColor(d,i) { - if(expanded && vers == 'furious') { - return d.disengaged ? '#eee' : d.color || color(d,i); - } else { - return d.color || color(d,i); - } - } - - - function setBGOpacity(d,i) { - if(expanded && vers == 'furious') { - return 1; - } else { - return !!d.disabled ? 0 : 1; - } - } - - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - key: {get: function(){return getKey;}, set: function(_){getKey=_;}}, - align: {get: function(){return align;}, set: function(_){align=_;}}, - rightAlign: {get: function(){return rightAlign;}, set: function(_){rightAlign=_;}}, - padding: {get: function(){return padding;}, set: function(_){padding=_;}}, - updateState: {get: function(){return updateState;}, set: function(_){updateState=_;}}, - radioButtonMode: {get: function(){return radioButtonMode;}, set: function(_){radioButtonMode=_;}}, - expanded: {get: function(){return expanded;}, set: function(_){expanded=_;}}, - vers: {get: function(){return vers;}, set: function(_){vers=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }} - }); - - nv.utils.initOptions(chart); - - return chart; -}; - -nv.models.line = function() { - "use strict"; - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var scatter = nv.models.scatter() - ; - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = 960 - , height = 500 - , container = null - , strokeWidth = 1.5 - , color = nv.utils.defaultColor() // a function that returns a color - , getX = function(d) { return d.x } // accessor to get the x value from a data point - , getY = function(d) { return d.y } // accessor to get the y value from a data point - , defined = function(d,i) { return !isNaN(getY(d,i)) && getY(d,i) !== null } // allows a line to be not continuous when it is not defined - , isArea = function(d) { return d.area } // decides if a line is an area or just a line - , clipEdge = false // if true, masks lines within x and y scale - , x //can be accessed via chart.xScale() - , y //can be accessed via chart.yScale() - , interpolate = "linear" // controls the line interpolation - , duration = 250 - , dispatch = d3.dispatch('elementClick', 'elementMouseover', 'elementMouseout', 'renderEnd') - ; - - scatter - .pointSize(16) // default size - .pointDomain([16,256]) //set to speed up calculation, needs to be unset if there is a custom size accessor - ; - - //============================================================ - - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var x0, y0 //used to store previous scales - , renderWatch = nv.utils.renderWatch(dispatch, duration) - ; - - //============================================================ - - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(scatter); - selection.each(function(data) { - container = d3.select(this); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - nv.utils.initSVG(container); - - // Setup Scales - x = scatter.xScale(); - y = scatter.yScale(); - - x0 = x0 || x; - y0 = y0 || y; - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-line').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-line'); - var defsEnter = wrapEnter.append('defs'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-groups'); - gEnter.append('g').attr('class', 'nv-scatterWrap'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - scatter - .width(availableWidth) - .height(availableHeight); - - var scatterWrap = wrap.select('.nv-scatterWrap'); - scatterWrap.call(scatter); - - defsEnter.append('clipPath') - .attr('id', 'nv-edge-clip-' + scatter.id()) - .append('rect'); - - wrap.select('#nv-edge-clip-' + scatter.id() + ' rect') - .attr('width', availableWidth) - .attr('height', (availableHeight > 0) ? availableHeight : 0); - - g .attr('clip-path', clipEdge ? 'url(#nv-edge-clip-' + scatter.id() + ')' : ''); - scatterWrap - .attr('clip-path', clipEdge ? 'url(#nv-edge-clip-' + scatter.id() + ')' : ''); - - var groups = wrap.select('.nv-groups').selectAll('.nv-group') - .data(function(d) { return d }, function(d) { return d.key }); - groups.enter().append('g') - .style('stroke-opacity', 1e-6) - .style('stroke-width', function(d) { return d.strokeWidth || strokeWidth }) - .style('fill-opacity', 1e-6); - - groups.exit().remove(); - - groups - .attr('class', function(d,i) { - return (d.classed || '') + ' nv-group nv-series-' + i; - }) - .classed('hover', function(d) { return d.hover }) - .style('fill', function(d,i){ return color(d, i) }) - .style('stroke', function(d,i){ return color(d, i)}); - groups.watchTransition(renderWatch, 'line: groups') - .style('stroke-opacity', 1) - .style('fill-opacity', function(d) { return d.fillOpacity || .5}); - - var areaPaths = groups.selectAll('path.nv-area') - .data(function(d) { return isArea(d) ? [d] : [] }); // this is done differently than lines because I need to check if series is an area - areaPaths.enter().append('path') - .attr('class', 'nv-area') - .attr('d', function(d) { - return d3.svg.area() - .interpolate(interpolate) - .defined(defined) - .x(function(d,i) { return nv.utils.NaNtoZero(x0(getX(d,i))) }) - .y0(function(d,i) { return nv.utils.NaNtoZero(y0(getY(d,i))) }) - .y1(function(d,i) { return y0( y.domain()[0] <= 0 ? y.domain()[1] >= 0 ? 0 : y.domain()[1] : y.domain()[0] ) }) - //.y1(function(d,i) { return y0(0) }) //assuming 0 is within y domain.. may need to tweak this - .apply(this, [d.values]) - }); - groups.exit().selectAll('path.nv-area') - .remove(); - - areaPaths.watchTransition(renderWatch, 'line: areaPaths') - .attr('d', function(d) { - return d3.svg.area() - .interpolate(interpolate) - .defined(defined) - .x(function(d,i) { return nv.utils.NaNtoZero(x(getX(d,i))) }) - .y0(function(d,i) { return nv.utils.NaNtoZero(y(getY(d,i))) }) - .y1(function(d,i) { return y( y.domain()[0] <= 0 ? y.domain()[1] >= 0 ? 0 : y.domain()[1] : y.domain()[0] ) }) - //.y1(function(d,i) { return y0(0) }) //assuming 0 is within y domain.. may need to tweak this - .apply(this, [d.values]) - }); - - var linePaths = groups.selectAll('path.nv-line') - .data(function(d) { return [d.values] }); - - linePaths.enter().append('path') - .attr('class', 'nv-line') - .attr('d', - d3.svg.line() - .interpolate(interpolate) - .defined(defined) - .x(function(d,i) { return nv.utils.NaNtoZero(x0(getX(d,i))) }) - .y(function(d,i) { return nv.utils.NaNtoZero(y0(getY(d,i))) }) - ); - - linePaths.watchTransition(renderWatch, 'line: linePaths') - .attr('d', - d3.svg.line() - .interpolate(interpolate) - .defined(defined) - .x(function(d,i) { return nv.utils.NaNtoZero(x(getX(d,i))) }) - .y(function(d,i) { return nv.utils.NaNtoZero(y(getY(d,i))) }) - ); - - //store old scales for use in transitions on update - x0 = x.copy(); - y0 = y.copy(); - }); - renderWatch.renderEnd('line immediate'); - return chart; - } - - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.scatter = scatter; - // Pass through events - scatter.dispatch.on('elementClick', function(){ dispatch.elementClick.apply(this, arguments); }); - scatter.dispatch.on('elementMouseover', function(){ dispatch.elementMouseover.apply(this, arguments); }); - scatter.dispatch.on('elementMouseout', function(){ dispatch.elementMouseout.apply(this, arguments); }); - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - defined: {get: function(){return defined;}, set: function(_){defined=_;}}, - interpolate: {get: function(){return interpolate;}, set: function(_){interpolate=_;}}, - clipEdge: {get: function(){return clipEdge;}, set: function(_){clipEdge=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - scatter.duration(duration); - }}, - isArea: {get: function(){return isArea;}, set: function(_){ - isArea = d3.functor(_); - }}, - x: {get: function(){return getX;}, set: function(_){ - getX = _; - scatter.x(_); - }}, - y: {get: function(){return getY;}, set: function(_){ - getY = _; - scatter.y(_); - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - scatter.color(color); - }} - }); - - nv.utils.inheritOptions(chart, scatter); - nv.utils.initOptions(chart); - - return chart; -}; -nv.models.lineChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var lines = nv.models.line() - , xAxis = nv.models.axis() - , yAxis = nv.models.axis() - , legend = nv.models.legend() - , interactiveLayer = nv.interactiveGuideline() - , tooltip = nv.models.tooltip() - ; - - var margin = {top: 30, right: 20, bottom: 50, left: 60} - , color = nv.utils.defaultColor() - , width = null - , height = null - , showLegend = true - , showXAxis = true - , showYAxis = true - , rightAlignYAxis = false - , useInteractiveGuideline = false - , x - , y - , state = nv.utils.state() - , defaultState = null - , noData = null - , dispatch = d3.dispatch('tooltipShow', 'tooltipHide', 'stateChange', 'changeState', 'renderEnd') - , duration = 250 - ; - - // set options on sub-objects for this chart - xAxis.orient('bottom').tickPadding(7); - yAxis.orient(rightAlignYAxis ? 'right' : 'left'); - tooltip.valueFormatter(function(d, i) { - return yAxis.tickFormat()(d, i); - }).headerFormatter(function(d, i) { - return xAxis.tickFormat()(d, i); - }); - - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var renderWatch = nv.utils.renderWatch(dispatch, duration); - - var stateGetter = function(data) { - return function(){ - return { - active: data.map(function(d) { return !d.disabled }) - }; - } - }; - - var stateSetter = function(data) { - return function(state) { - if (state.active !== undefined) - data.forEach(function(series,i) { - series.disabled = !state.active[i]; - }); - } - }; - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(lines); - if (showXAxis) renderWatch.models(xAxis); - if (showYAxis) renderWatch.models(yAxis); - - selection.each(function(data) { - var container = d3.select(this), - that = this; - nv.utils.initSVG(container); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - chart.update = function() { - if (duration === 0) - container.call(chart); - else - container.transition().duration(duration).call(chart) - }; - chart.container = this; - - state - .setter(stateSetter(data), chart.update) - .getter(stateGetter(data)) - .update(); - - // DEPRECATED set state.disableddisabled - state.disabled = data.map(function(d) { return !!d.disabled }); - - if (!defaultState) { - var key; - defaultState = {}; - for (key in state) { - if (state[key] instanceof Array) - defaultState[key] = state[key].slice(0); - else - defaultState[key] = state[key]; - } - } - - // Display noData message if there's nothing to show. - if (!data || !data.length || !data.filter(function(d) { return d.values.length }).length) { - nv.utils.noData(chart, container) - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - - // Setup Scales - x = lines.xScale(); - y = lines.yScale(); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-lineChart').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-lineChart').append('g'); - var g = wrap.select('g'); - - gEnter.append("rect").style("opacity",0); - gEnter.append('g').attr('class', 'nv-x nv-axis'); - gEnter.append('g').attr('class', 'nv-y nv-axis'); - gEnter.append('g').attr('class', 'nv-linesWrap'); - gEnter.append('g').attr('class', 'nv-legendWrap'); - gEnter.append('g').attr('class', 'nv-interactive'); - - g.select("rect") - .attr("width",availableWidth) - .attr("height",(availableHeight > 0) ? availableHeight : 0); - - // Legend - if (showLegend) { - legend.width(availableWidth); - - g.select('.nv-legendWrap') - .datum(data) - .call(legend); - - if ( margin.top != legend.height()) { - margin.top = legend.height(); - availableHeight = nv.utils.availableHeight(height, container, margin); - } - - wrap.select('.nv-legendWrap') - .attr('transform', 'translate(0,' + (-margin.top) +')') - } - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - if (rightAlignYAxis) { - g.select(".nv-y.nv-axis") - .attr("transform", "translate(" + availableWidth + ",0)"); - } - - //Set up interactive layer - if (useInteractiveGuideline) { - interactiveLayer - .width(availableWidth) - .height(availableHeight) - .margin({left:margin.left, top:margin.top}) - .svgContainer(container) - .xScale(x); - wrap.select(".nv-interactive").call(interactiveLayer); - } - - lines - .width(availableWidth) - .height(availableHeight) - .color(data.map(function(d,i) { - return d.color || color(d, i); - }).filter(function(d,i) { return !data[i].disabled })); - - - var linesWrap = g.select('.nv-linesWrap') - .datum(data.filter(function(d) { return !d.disabled })); - - linesWrap.call(lines); - - // Setup Axes - if (showXAxis) { - xAxis - .scale(x) - ._ticks(nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize(-availableHeight, 0); - - g.select('.nv-x.nv-axis') - .attr('transform', 'translate(0,' + y.range()[0] + ')'); - g.select('.nv-x.nv-axis') - .call(xAxis); - } - - if (showYAxis) { - yAxis - .scale(y) - ._ticks(nv.utils.calcTicksY(availableHeight/36, data) ) - .tickSize( -availableWidth, 0); - - g.select('.nv-y.nv-axis') - .call(yAxis); - } - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - - legend.dispatch.on('stateChange', function(newState) { - for (var key in newState) - state[key] = newState[key]; - dispatch.stateChange(state); - chart.update(); - }); - - interactiveLayer.dispatch.on('elementMousemove', function(e) { - lines.clearHighlights(); - var singlePoint, pointIndex, pointXLocation, allData = []; - data - .filter(function(series, i) { - series.seriesIndex = i; - return !series.disabled; - }) - .forEach(function(series,i) { - pointIndex = nv.interactiveBisect(series.values, e.pointXValue, chart.x()); - var point = series.values[pointIndex]; - var pointYValue = chart.y()(point, pointIndex); - if (pointYValue != null) { - lines.highlightPoint(i, pointIndex, true); - } - if (point === undefined) return; - if (singlePoint === undefined) singlePoint = point; - if (pointXLocation === undefined) pointXLocation = chart.xScale()(chart.x()(point,pointIndex)); - allData.push({ - key: series.key, - value: pointYValue, - color: color(series,series.seriesIndex) - }); - }); - //Highlight the tooltip entry based on which point the mouse is closest to. - if (allData.length > 2) { - var yValue = chart.yScale().invert(e.mouseY); - var domainExtent = Math.abs(chart.yScale().domain()[0] - chart.yScale().domain()[1]); - var threshold = 0.03 * domainExtent; - var indexToHighlight = nv.nearestValueIndex(allData.map(function(d){return d.value}),yValue,threshold); - if (indexToHighlight !== null) - allData[indexToHighlight].highlight = true; - } - - var xValue = xAxis.tickFormat()(chart.x()(singlePoint,pointIndex)); - interactiveLayer.tooltip - .position({left: e.mouseX + margin.left, top: e.mouseY + margin.top}) - .chartContainer(that.parentNode) - .valueFormatter(function(d,i) { - return d == null ? "N/A" : yAxis.tickFormat()(d); - }) - .data({ - value: xValue, - index: pointIndex, - series: allData - })(); - - interactiveLayer.renderGuideLine(pointXLocation); - - }); - - interactiveLayer.dispatch.on('elementClick', function(e) { - var pointXLocation, allData = []; - - data.filter(function(series, i) { - series.seriesIndex = i; - return !series.disabled; - }).forEach(function(series) { - var pointIndex = nv.interactiveBisect(series.values, e.pointXValue, chart.x()); - var point = series.values[pointIndex]; - if (typeof point === 'undefined') return; - if (typeof pointXLocation === 'undefined') pointXLocation = chart.xScale()(chart.x()(point,pointIndex)); - var yPos = chart.yScale()(chart.y()(point,pointIndex)); - allData.push({ - point: point, - pointIndex: pointIndex, - pos: [pointXLocation, yPos], - seriesIndex: series.seriesIndex, - series: series - }); - }); - - lines.dispatch.elementClick(allData); - }); - - interactiveLayer.dispatch.on("elementMouseout",function(e) { - lines.clearHighlights(); - }); - - dispatch.on('changeState', function(e) { - if (typeof e.disabled !== 'undefined' && data.length === e.disabled.length) { - data.forEach(function(series,i) { - series.disabled = e.disabled[i]; - }); - - state.disabled = e.disabled; - } - - chart.update(); - }); - - }); - - renderWatch.renderEnd('lineChart immediate'); - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - lines.dispatch.on('elementMouseover.tooltip', function(evt) { - tooltip.data(evt).position(evt.pos).hidden(false); - }); - - lines.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true) - }); - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.dispatch = dispatch; - chart.lines = lines; - chart.legend = legend; - chart.xAxis = xAxis; - chart.yAxis = yAxis; - chart.interactiveLayer = interactiveLayer; - chart.tooltip = tooltip; - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - showLegend: {get: function(){return showLegend;}, set: function(_){showLegend=_;}}, - showXAxis: {get: function(){return showXAxis;}, set: function(_){showXAxis=_;}}, - showYAxis: {get: function(){return showYAxis;}, set: function(_){showYAxis=_;}}, - defaultState: {get: function(){return defaultState;}, set: function(_){defaultState=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - lines.duration(duration); - xAxis.duration(duration); - yAxis.duration(duration); - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - legend.color(color); - lines.color(color); - }}, - rightAlignYAxis: {get: function(){return rightAlignYAxis;}, set: function(_){ - rightAlignYAxis = _; - yAxis.orient( rightAlignYAxis ? 'right' : 'left'); - }}, - useInteractiveGuideline: {get: function(){return useInteractiveGuideline;}, set: function(_){ - useInteractiveGuideline = _; - if (useInteractiveGuideline) { - lines.interactive(false); - lines.useVoronoi(false); - } - }} - }); - - nv.utils.inheritOptions(chart, lines); - nv.utils.initOptions(chart); - - return chart; -}; -nv.models.linePlusBarChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var lines = nv.models.line() - , lines2 = nv.models.line() - , bars = nv.models.historicalBar() - , bars2 = nv.models.historicalBar() - , xAxis = nv.models.axis() - , x2Axis = nv.models.axis() - , y1Axis = nv.models.axis() - , y2Axis = nv.models.axis() - , y3Axis = nv.models.axis() - , y4Axis = nv.models.axis() - , legend = nv.models.legend() - , brush = d3.svg.brush() - , tooltip = nv.models.tooltip() - ; - - var margin = {top: 30, right: 30, bottom: 30, left: 60} - , margin2 = {top: 0, right: 30, bottom: 20, left: 60} - , width = null - , height = null - , getX = function(d) { return d.x } - , getY = function(d) { return d.y } - , color = nv.utils.defaultColor() - , showLegend = true - , focusEnable = true - , focusShowAxisY = false - , focusShowAxisX = true - , focusHeight = 50 - , extent - , brushExtent = null - , x - , x2 - , y1 - , y2 - , y3 - , y4 - , noData = null - , dispatch = d3.dispatch('brush', 'stateChange', 'changeState') - , transitionDuration = 0 - , state = nv.utils.state() - , defaultState = null - , legendLeftAxisHint = ' (left axis)' - , legendRightAxisHint = ' (right axis)' - ; - - lines.clipEdge(true); - lines2.interactive(false); - xAxis.orient('bottom').tickPadding(5); - y1Axis.orient('left'); - y2Axis.orient('right'); - x2Axis.orient('bottom').tickPadding(5); - y3Axis.orient('left'); - y4Axis.orient('right'); - - tooltip.headerEnabled(true).headerFormatter(function(d, i) { - return xAxis.tickFormat()(d, i); - }); - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var stateGetter = function(data) { - return function(){ - return { - active: data.map(function(d) { return !d.disabled }) - }; - } - }; - - var stateSetter = function(data) { - return function(state) { - if (state.active !== undefined) - data.forEach(function(series,i) { - series.disabled = !state.active[i]; - }); - } - }; - - function chart(selection) { - selection.each(function(data) { - var container = d3.select(this), - that = this; - nv.utils.initSVG(container); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight1 = nv.utils.availableHeight(height, container, margin) - - (focusEnable ? focusHeight : 0), - availableHeight2 = focusHeight - margin2.top - margin2.bottom; - - chart.update = function() { container.transition().duration(transitionDuration).call(chart); }; - chart.container = this; - - state - .setter(stateSetter(data), chart.update) - .getter(stateGetter(data)) - .update(); - - // DEPRECATED set state.disableddisabled - state.disabled = data.map(function(d) { return !!d.disabled }); - - if (!defaultState) { - var key; - defaultState = {}; - for (key in state) { - if (state[key] instanceof Array) - defaultState[key] = state[key].slice(0); - else - defaultState[key] = state[key]; - } - } - - // Display No Data message if there's nothing to show. - if (!data || !data.length || !data.filter(function(d) { return d.values.length }).length) { - nv.utils.noData(chart, container) - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup Scales - var dataBars = data.filter(function(d) { return !d.disabled && d.bar }); - var dataLines = data.filter(function(d) { return !d.bar }); // removed the !d.disabled clause here to fix Issue #240 - - x = bars.xScale(); - x2 = x2Axis.scale(); - y1 = bars.yScale(); - y2 = lines.yScale(); - y3 = bars2.yScale(); - y4 = lines2.yScale(); - - var series1 = data - .filter(function(d) { return !d.disabled && d.bar }) - .map(function(d) { - return d.values.map(function(d,i) { - return { x: getX(d,i), y: getY(d,i) } - }) - }); - - var series2 = data - .filter(function(d) { return !d.disabled && !d.bar }) - .map(function(d) { - return d.values.map(function(d,i) { - return { x: getX(d,i), y: getY(d,i) } - }) - }); - - x.range([0, availableWidth]); - - x2 .domain(d3.extent(d3.merge(series1.concat(series2)), function(d) { return d.x } )) - .range([0, availableWidth]); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-linePlusBar').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-linePlusBar').append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-legendWrap'); - - // this is the main chart - var focusEnter = gEnter.append('g').attr('class', 'nv-focus'); - focusEnter.append('g').attr('class', 'nv-x nv-axis'); - focusEnter.append('g').attr('class', 'nv-y1 nv-axis'); - focusEnter.append('g').attr('class', 'nv-y2 nv-axis'); - focusEnter.append('g').attr('class', 'nv-barsWrap'); - focusEnter.append('g').attr('class', 'nv-linesWrap'); - - // context chart is where you can focus in - var contextEnter = gEnter.append('g').attr('class', 'nv-context'); - contextEnter.append('g').attr('class', 'nv-x nv-axis'); - contextEnter.append('g').attr('class', 'nv-y1 nv-axis'); - contextEnter.append('g').attr('class', 'nv-y2 nv-axis'); - contextEnter.append('g').attr('class', 'nv-barsWrap'); - contextEnter.append('g').attr('class', 'nv-linesWrap'); - contextEnter.append('g').attr('class', 'nv-brushBackground'); - contextEnter.append('g').attr('class', 'nv-x nv-brush'); - - //============================================================ - // Legend - //------------------------------------------------------------ - - if (showLegend) { - var legendWidth = legend.align() ? availableWidth / 2 : availableWidth; - var legendXPosition = legend.align() ? legendWidth : 0; - - legend.width(legendWidth); - - g.select('.nv-legendWrap') - .datum(data.map(function(series) { - series.originalKey = series.originalKey === undefined ? series.key : series.originalKey; - series.key = series.originalKey + (series.bar ? legendLeftAxisHint : legendRightAxisHint); - return series; - })) - .call(legend); - - if ( margin.top != legend.height()) { - margin.top = legend.height(); - // FIXME: shouldn't this be "- (focusEnabled ? focusHeight : 0)"? - availableHeight1 = nv.utils.availableHeight(height, container, margin) - focusHeight; - } - - g.select('.nv-legendWrap') - .attr('transform', 'translate(' + legendXPosition + ',' + (-margin.top) +')'); - } - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - //============================================================ - // Context chart (focus chart) components - //------------------------------------------------------------ - - // hide or show the focus context chart - g.select('.nv-context').style('display', focusEnable ? 'initial' : 'none'); - - bars2 - .width(availableWidth) - .height(availableHeight2) - .color(data.map(function (d, i) { - return d.color || color(d, i); - }).filter(function (d, i) { - return !data[i].disabled && data[i].bar - })); - lines2 - .width(availableWidth) - .height(availableHeight2) - .color(data.map(function (d, i) { - return d.color || color(d, i); - }).filter(function (d, i) { - return !data[i].disabled && !data[i].bar - })); - - var bars2Wrap = g.select('.nv-context .nv-barsWrap') - .datum(dataBars.length ? dataBars : [ - {values: []} - ]); - var lines2Wrap = g.select('.nv-context .nv-linesWrap') - .datum(!dataLines[0].disabled ? dataLines : [ - {values: []} - ]); - - g.select('.nv-context') - .attr('transform', 'translate(0,' + ( availableHeight1 + margin.bottom + margin2.top) + ')'); - - bars2Wrap.transition().call(bars2); - lines2Wrap.transition().call(lines2); - - // context (focus chart) axis controls - if (focusShowAxisX) { - x2Axis - ._ticks( nv.utils.calcTicksX(availableWidth / 100, data)) - .tickSize(-availableHeight2, 0); - g.select('.nv-context .nv-x.nv-axis') - .attr('transform', 'translate(0,' + y3.range()[0] + ')'); - g.select('.nv-context .nv-x.nv-axis').transition() - .call(x2Axis); - } - - if (focusShowAxisY) { - y3Axis - .scale(y3) - ._ticks( availableHeight2 / 36 ) - .tickSize( -availableWidth, 0); - y4Axis - .scale(y4) - ._ticks( availableHeight2 / 36 ) - .tickSize(dataBars.length ? 0 : -availableWidth, 0); // Show the y2 rules only if y1 has none - - g.select('.nv-context .nv-y3.nv-axis') - .style('opacity', dataBars.length ? 1 : 0) - .attr('transform', 'translate(0,' + x2.range()[0] + ')'); - g.select('.nv-context .nv-y2.nv-axis') - .style('opacity', dataLines.length ? 1 : 0) - .attr('transform', 'translate(' + x2.range()[1] + ',0)'); - - g.select('.nv-context .nv-y1.nv-axis').transition() - .call(y3Axis); - g.select('.nv-context .nv-y2.nv-axis').transition() - .call(y4Axis); - } - - // Setup Brush - brush.x(x2).on('brush', onBrush); - - if (brushExtent) brush.extent(brushExtent); - - var brushBG = g.select('.nv-brushBackground').selectAll('g') - .data([brushExtent || brush.extent()]); - - var brushBGenter = brushBG.enter() - .append('g'); - - brushBGenter.append('rect') - .attr('class', 'left') - .attr('x', 0) - .attr('y', 0) - .attr('height', availableHeight2); - - brushBGenter.append('rect') - .attr('class', 'right') - .attr('x', 0) - .attr('y', 0) - .attr('height', availableHeight2); - - var gBrush = g.select('.nv-x.nv-brush') - .call(brush); - gBrush.selectAll('rect') - //.attr('y', -5) - .attr('height', availableHeight2); - gBrush.selectAll('.resize').append('path').attr('d', resizePath); - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - - legend.dispatch.on('stateChange', function(newState) { - for (var key in newState) - state[key] = newState[key]; - dispatch.stateChange(state); - chart.update(); - }); - - // Update chart from a state object passed to event handler - dispatch.on('changeState', function(e) { - if (typeof e.disabled !== 'undefined') { - data.forEach(function(series,i) { - series.disabled = e.disabled[i]; - }); - state.disabled = e.disabled; - } - chart.update(); - }); - - //============================================================ - // Functions - //------------------------------------------------------------ - - // Taken from crossfilter (http://square.github.com/crossfilter/) - function resizePath(d) { - var e = +(d == 'e'), - x = e ? 1 : -1, - y = availableHeight2 / 3; - return 'M' + (.5 * x) + ',' + y - + 'A6,6 0 0 ' + e + ' ' + (6.5 * x) + ',' + (y + 6) - + 'V' + (2 * y - 6) - + 'A6,6 0 0 ' + e + ' ' + (.5 * x) + ',' + (2 * y) - + 'Z' - + 'M' + (2.5 * x) + ',' + (y + 8) - + 'V' + (2 * y - 8) - + 'M' + (4.5 * x) + ',' + (y + 8) - + 'V' + (2 * y - 8); - } - - - function updateBrushBG() { - if (!brush.empty()) brush.extent(brushExtent); - brushBG - .data([brush.empty() ? x2.domain() : brushExtent]) - .each(function(d,i) { - var leftWidth = x2(d[0]) - x2.range()[0], - rightWidth = x2.range()[1] - x2(d[1]); - d3.select(this).select('.left') - .attr('width', leftWidth < 0 ? 0 : leftWidth); - - d3.select(this).select('.right') - .attr('x', x2(d[1])) - .attr('width', rightWidth < 0 ? 0 : rightWidth); - }); - } - - function onBrush() { - brushExtent = brush.empty() ? null : brush.extent(); - extent = brush.empty() ? x2.domain() : brush.extent(); - dispatch.brush({extent: extent, brush: brush}); - updateBrushBG(); - - // Prepare Main (Focus) Bars and Lines - bars - .width(availableWidth) - .height(availableHeight1) - .color(data.map(function(d,i) { - return d.color || color(d, i); - }).filter(function(d,i) { return !data[i].disabled && data[i].bar })); - - lines - .width(availableWidth) - .height(availableHeight1) - .color(data.map(function(d,i) { - return d.color || color(d, i); - }).filter(function(d,i) { return !data[i].disabled && !data[i].bar })); - - var focusBarsWrap = g.select('.nv-focus .nv-barsWrap') - .datum(!dataBars.length ? [{values:[]}] : - dataBars - .map(function(d,i) { - return { - key: d.key, - values: d.values.filter(function(d,i) { - return bars.x()(d,i) >= extent[0] && bars.x()(d,i) <= extent[1]; - }) - } - }) - ); - - var focusLinesWrap = g.select('.nv-focus .nv-linesWrap') - .datum(dataLines[0].disabled ? [{values:[]}] : - dataLines - .map(function(d,i) { - return { - area: d.area, - fillOpacity: d.fillOpacity, - key: d.key, - values: d.values.filter(function(d,i) { - return lines.x()(d,i) >= extent[0] && lines.x()(d,i) <= extent[1]; - }) - } - }) - ); - - // Update Main (Focus) X Axis - if (dataBars.length) { - x = bars.xScale(); - } else { - x = lines.xScale(); - } - - xAxis - .scale(x) - ._ticks( nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize(-availableHeight1, 0); - - xAxis.domain([Math.ceil(extent[0]), Math.floor(extent[1])]); - - g.select('.nv-x.nv-axis').transition().duration(transitionDuration) - .call(xAxis); - - // Update Main (Focus) Bars and Lines - focusBarsWrap.transition().duration(transitionDuration).call(bars); - focusLinesWrap.transition().duration(transitionDuration).call(lines); - - // Setup and Update Main (Focus) Y Axes - g.select('.nv-focus .nv-x.nv-axis') - .attr('transform', 'translate(0,' + y1.range()[0] + ')'); - - y1Axis - .scale(y1) - ._ticks( nv.utils.calcTicksY(availableHeight1/36, data) ) - .tickSize(-availableWidth, 0); - y2Axis - .scale(y2) - ._ticks( nv.utils.calcTicksY(availableHeight1/36, data) ) - .tickSize(dataBars.length ? 0 : -availableWidth, 0); // Show the y2 rules only if y1 has none - - g.select('.nv-focus .nv-y1.nv-axis') - .style('opacity', dataBars.length ? 1 : 0); - g.select('.nv-focus .nv-y2.nv-axis') - .style('opacity', dataLines.length && !dataLines[0].disabled ? 1 : 0) - .attr('transform', 'translate(' + x.range()[1] + ',0)'); - - g.select('.nv-focus .nv-y1.nv-axis').transition().duration(transitionDuration) - .call(y1Axis); - g.select('.nv-focus .nv-y2.nv-axis').transition().duration(transitionDuration) - .call(y2Axis); - } - - onBrush(); - - }); - - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - lines.dispatch.on('elementMouseover.tooltip', function(evt) { - tooltip - .duration(100) - .valueFormatter(function(d, i) { - return y2Axis.tickFormat()(d, i); - }) - .data(evt) - .position(evt.pos) - .hidden(false); - }); - - lines.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true) - }); - - bars.dispatch.on('elementMouseover.tooltip', function(evt) { - evt.value = chart.x()(evt.data); - evt['series'] = { - value: chart.y()(evt.data), - color: evt.color - }; - tooltip - .duration(0) - .valueFormatter(function(d, i) { - return y1Axis.tickFormat()(d, i); - }) - .data(evt) - .hidden(false); - }); - - bars.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true); - }); - - bars.dispatch.on('elementMousemove.tooltip', function(evt) { - tooltip.position({top: d3.event.pageY, left: d3.event.pageX})(); - }); - - //============================================================ - - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.dispatch = dispatch; - chart.legend = legend; - chart.lines = lines; - chart.lines2 = lines2; - chart.bars = bars; - chart.bars2 = bars2; - chart.xAxis = xAxis; - chart.x2Axis = x2Axis; - chart.y1Axis = y1Axis; - chart.y2Axis = y2Axis; - chart.y3Axis = y3Axis; - chart.y4Axis = y4Axis; - chart.tooltip = tooltip; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - showLegend: {get: function(){return showLegend;}, set: function(_){showLegend=_;}}, - brushExtent: {get: function(){return brushExtent;}, set: function(_){brushExtent=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - focusEnable: {get: function(){return focusEnable;}, set: function(_){focusEnable=_;}}, - focusHeight: {get: function(){return focusHeight;}, set: function(_){focusHeight=_;}}, - focusShowAxisX: {get: function(){return focusShowAxisX;}, set: function(_){focusShowAxisX=_;}}, - focusShowAxisY: {get: function(){return focusShowAxisY;}, set: function(_){focusShowAxisY=_;}}, - legendLeftAxisHint: {get: function(){return legendLeftAxisHint;}, set: function(_){legendLeftAxisHint=_;}}, - legendRightAxisHint: {get: function(){return legendRightAxisHint;}, set: function(_){legendRightAxisHint=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return transitionDuration;}, set: function(_){ - transitionDuration = _; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - legend.color(color); - }}, - x: {get: function(){return getX;}, set: function(_){ - getX = _; - lines.x(_); - lines2.x(_); - bars.x(_); - bars2.x(_); - }}, - y: {get: function(){return getY;}, set: function(_){ - getY = _; - lines.y(_); - lines2.y(_); - bars.y(_); - bars2.y(_); - }} - }); - - nv.utils.inheritOptions(chart, lines); - nv.utils.initOptions(chart); - - return chart; -}; -nv.models.lineWithFocusChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var lines = nv.models.line() - , lines2 = nv.models.line() - , xAxis = nv.models.axis() - , yAxis = nv.models.axis() - , x2Axis = nv.models.axis() - , y2Axis = nv.models.axis() - , legend = nv.models.legend() - , brush = d3.svg.brush() - , tooltip = nv.models.tooltip() - , interactiveLayer = nv.interactiveGuideline() - ; - - var margin = {top: 30, right: 30, bottom: 30, left: 60} - , margin2 = {top: 0, right: 30, bottom: 20, left: 60} - , color = nv.utils.defaultColor() - , width = null - , height = null - , height2 = 50 - , useInteractiveGuideline = false - , x - , y - , x2 - , y2 - , showLegend = true - , brushExtent = null - , noData = null - , dispatch = d3.dispatch('brush', 'stateChange', 'changeState') - , transitionDuration = 250 - , state = nv.utils.state() - , defaultState = null - ; - - lines.clipEdge(true).duration(0); - lines2.interactive(false); - xAxis.orient('bottom').tickPadding(5); - yAxis.orient('left'); - x2Axis.orient('bottom').tickPadding(5); - y2Axis.orient('left'); - - tooltip.valueFormatter(function(d, i) { - return yAxis.tickFormat()(d, i); - }).headerFormatter(function(d, i) { - return xAxis.tickFormat()(d, i); - }); - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var stateGetter = function(data) { - return function(){ - return { - active: data.map(function(d) { return !d.disabled }) - }; - } - }; - - var stateSetter = function(data) { - return function(state) { - if (state.active !== undefined) - data.forEach(function(series,i) { - series.disabled = !state.active[i]; - }); - } - }; - - function chart(selection) { - selection.each(function(data) { - var container = d3.select(this), - that = this; - nv.utils.initSVG(container); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight1 = nv.utils.availableHeight(height, container, margin) - height2, - availableHeight2 = height2 - margin2.top - margin2.bottom; - - chart.update = function() { container.transition().duration(transitionDuration).call(chart) }; - chart.container = this; - - state - .setter(stateSetter(data), chart.update) - .getter(stateGetter(data)) - .update(); - - // DEPRECATED set state.disableddisabled - state.disabled = data.map(function(d) { return !!d.disabled }); - - if (!defaultState) { - var key; - defaultState = {}; - for (key in state) { - if (state[key] instanceof Array) - defaultState[key] = state[key].slice(0); - else - defaultState[key] = state[key]; - } - } - - // Display No Data message if there's nothing to show. - if (!data || !data.length || !data.filter(function(d) { return d.values.length }).length) { - nv.utils.noData(chart, container) - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup Scales - x = lines.xScale(); - y = lines.yScale(); - x2 = lines2.xScale(); - y2 = lines2.yScale(); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-lineWithFocusChart').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-lineWithFocusChart').append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-legendWrap'); - - var focusEnter = gEnter.append('g').attr('class', 'nv-focus'); - focusEnter.append('g').attr('class', 'nv-x nv-axis'); - focusEnter.append('g').attr('class', 'nv-y nv-axis'); - focusEnter.append('g').attr('class', 'nv-linesWrap'); - focusEnter.append('g').attr('class', 'nv-interactive'); - - var contextEnter = gEnter.append('g').attr('class', 'nv-context'); - contextEnter.append('g').attr('class', 'nv-x nv-axis'); - contextEnter.append('g').attr('class', 'nv-y nv-axis'); - contextEnter.append('g').attr('class', 'nv-linesWrap'); - contextEnter.append('g').attr('class', 'nv-brushBackground'); - contextEnter.append('g').attr('class', 'nv-x nv-brush'); - - // Legend - if (showLegend) { - legend.width(availableWidth); - - g.select('.nv-legendWrap') - .datum(data) - .call(legend); - - if ( margin.top != legend.height()) { - margin.top = legend.height(); - availableHeight1 = nv.utils.availableHeight(height, container, margin) - height2; - } - - g.select('.nv-legendWrap') - .attr('transform', 'translate(0,' + (-margin.top) +')') - } - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - - //Set up interactive layer - if (useInteractiveGuideline) { - interactiveLayer - .width(availableWidth) - .height(availableHeight1) - .margin({left:margin.left, top:margin.top}) - .svgContainer(container) - .xScale(x); - wrap.select(".nv-interactive").call(interactiveLayer); - } - - // Main Chart Component(s) - lines - .width(availableWidth) - .height(availableHeight1) - .color( - data - .map(function(d,i) { - return d.color || color(d, i); - }) - .filter(function(d,i) { - return !data[i].disabled; - }) - ); - - lines2 - .defined(lines.defined()) - .width(availableWidth) - .height(availableHeight2) - .color( - data - .map(function(d,i) { - return d.color || color(d, i); - }) - .filter(function(d,i) { - return !data[i].disabled; - }) - ); - - g.select('.nv-context') - .attr('transform', 'translate(0,' + ( availableHeight1 + margin.bottom + margin2.top) + ')') - - var contextLinesWrap = g.select('.nv-context .nv-linesWrap') - .datum(data.filter(function(d) { return !d.disabled })) - - d3.transition(contextLinesWrap).call(lines2); - - // Setup Main (Focus) Axes - xAxis - .scale(x) - ._ticks( nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize(-availableHeight1, 0); - - yAxis - .scale(y) - ._ticks( nv.utils.calcTicksY(availableHeight1/36, data) ) - .tickSize( -availableWidth, 0); - - g.select('.nv-focus .nv-x.nv-axis') - .attr('transform', 'translate(0,' + availableHeight1 + ')'); - - // Setup Brush - brush - .x(x2) - .on('brush', function() { - onBrush(); - }); - - if (brushExtent) brush.extent(brushExtent); - - var brushBG = g.select('.nv-brushBackground').selectAll('g') - .data([brushExtent || brush.extent()]) - - var brushBGenter = brushBG.enter() - .append('g'); - - brushBGenter.append('rect') - .attr('class', 'left') - .attr('x', 0) - .attr('y', 0) - .attr('height', availableHeight2); - - brushBGenter.append('rect') - .attr('class', 'right') - .attr('x', 0) - .attr('y', 0) - .attr('height', availableHeight2); - - var gBrush = g.select('.nv-x.nv-brush') - .call(brush); - gBrush.selectAll('rect') - .attr('height', availableHeight2); - gBrush.selectAll('.resize').append('path').attr('d', resizePath); - - onBrush(); - - // Setup Secondary (Context) Axes - x2Axis - .scale(x2) - ._ticks( nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize(-availableHeight2, 0); - - g.select('.nv-context .nv-x.nv-axis') - .attr('transform', 'translate(0,' + y2.range()[0] + ')'); - d3.transition(g.select('.nv-context .nv-x.nv-axis')) - .call(x2Axis); - - y2Axis - .scale(y2) - ._ticks( nv.utils.calcTicksY(availableHeight2/36, data) ) - .tickSize( -availableWidth, 0); - - d3.transition(g.select('.nv-context .nv-y.nv-axis')) - .call(y2Axis); - - g.select('.nv-context .nv-x.nv-axis') - .attr('transform', 'translate(0,' + y2.range()[0] + ')'); - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - - legend.dispatch.on('stateChange', function(newState) { - for (var key in newState) - state[key] = newState[key]; - dispatch.stateChange(state); - chart.update(); - }); - - interactiveLayer.dispatch.on('elementMousemove', function(e) { - lines.clearHighlights(); - var singlePoint, pointIndex, pointXLocation, allData = []; - data - .filter(function(series, i) { - series.seriesIndex = i; - return !series.disabled; - }) - .forEach(function(series,i) { - var extent = brush.empty() ? x2.domain() : brush.extent(); - var currentValues = series.values.filter(function(d,i) { - return lines.x()(d,i) >= extent[0] && lines.x()(d,i) <= extent[1]; - }); - - pointIndex = nv.interactiveBisect(currentValues, e.pointXValue, lines.x()); - var point = currentValues[pointIndex]; - var pointYValue = chart.y()(point, pointIndex); - if (pointYValue != null) { - lines.highlightPoint(i, pointIndex, true); - } - if (point === undefined) return; - if (singlePoint === undefined) singlePoint = point; - if (pointXLocation === undefined) pointXLocation = chart.xScale()(chart.x()(point,pointIndex)); - allData.push({ - key: series.key, - value: chart.y()(point, pointIndex), - color: color(series,series.seriesIndex) - }); - }); - //Highlight the tooltip entry based on which point the mouse is closest to. - if (allData.length > 2) { - var yValue = chart.yScale().invert(e.mouseY); - var domainExtent = Math.abs(chart.yScale().domain()[0] - chart.yScale().domain()[1]); - var threshold = 0.03 * domainExtent; - var indexToHighlight = nv.nearestValueIndex(allData.map(function(d){return d.value}),yValue,threshold); - if (indexToHighlight !== null) - allData[indexToHighlight].highlight = true; - } - - var xValue = xAxis.tickFormat()(chart.x()(singlePoint,pointIndex)); - interactiveLayer.tooltip - .position({left: e.mouseX + margin.left, top: e.mouseY + margin.top}) - .chartContainer(that.parentNode) - .valueFormatter(function(d,i) { - return d == null ? "N/A" : yAxis.tickFormat()(d); - }) - .data({ - value: xValue, - index: pointIndex, - series: allData - })(); - - interactiveLayer.renderGuideLine(pointXLocation); - - }); - - interactiveLayer.dispatch.on("elementMouseout",function(e) { - lines.clearHighlights(); - }); - - dispatch.on('changeState', function(e) { - if (typeof e.disabled !== 'undefined') { - data.forEach(function(series,i) { - series.disabled = e.disabled[i]; - }); - } - chart.update(); - }); - - //============================================================ - // Functions - //------------------------------------------------------------ - - // Taken from crossfilter (http://square.github.com/crossfilter/) - function resizePath(d) { - var e = +(d == 'e'), - x = e ? 1 : -1, - y = availableHeight2 / 3; - return 'M' + (.5 * x) + ',' + y - + 'A6,6 0 0 ' + e + ' ' + (6.5 * x) + ',' + (y + 6) - + 'V' + (2 * y - 6) - + 'A6,6 0 0 ' + e + ' ' + (.5 * x) + ',' + (2 * y) - + 'Z' - + 'M' + (2.5 * x) + ',' + (y + 8) - + 'V' + (2 * y - 8) - + 'M' + (4.5 * x) + ',' + (y + 8) - + 'V' + (2 * y - 8); - } - - - function updateBrushBG() { - if (!brush.empty()) brush.extent(brushExtent); - brushBG - .data([brush.empty() ? x2.domain() : brushExtent]) - .each(function(d,i) { - var leftWidth = x2(d[0]) - x.range()[0], - rightWidth = availableWidth - x2(d[1]); - d3.select(this).select('.left') - .attr('width', leftWidth < 0 ? 0 : leftWidth); - - d3.select(this).select('.right') - .attr('x', x2(d[1])) - .attr('width', rightWidth < 0 ? 0 : rightWidth); - }); - } - - - function onBrush() { - brushExtent = brush.empty() ? null : brush.extent(); - var extent = brush.empty() ? x2.domain() : brush.extent(); - - //The brush extent cannot be less than one. If it is, don't update the line chart. - if (Math.abs(extent[0] - extent[1]) <= 1) { - return; - } - - dispatch.brush({extent: extent, brush: brush}); - - - updateBrushBG(); - - // Update Main (Focus) - var focusLinesWrap = g.select('.nv-focus .nv-linesWrap') - .datum( - data - .filter(function(d) { return !d.disabled }) - .map(function(d,i) { - return { - key: d.key, - area: d.area, - values: d.values.filter(function(d,i) { - return lines.x()(d,i) >= extent[0] && lines.x()(d,i) <= extent[1]; - }) - } - }) - ); - focusLinesWrap.transition().duration(transitionDuration).call(lines); - - - // Update Main (Focus) Axes - g.select('.nv-focus .nv-x.nv-axis').transition().duration(transitionDuration) - .call(xAxis); - g.select('.nv-focus .nv-y.nv-axis').transition().duration(transitionDuration) - .call(yAxis); - } - }); - - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - lines.dispatch.on('elementMouseover.tooltip', function(evt) { - tooltip.data(evt).position(evt.pos).hidden(false); - }); - - lines.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true) - }); - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.dispatch = dispatch; - chart.legend = legend; - chart.lines = lines; - chart.lines2 = lines2; - chart.xAxis = xAxis; - chart.yAxis = yAxis; - chart.x2Axis = x2Axis; - chart.y2Axis = y2Axis; - chart.interactiveLayer = interactiveLayer; - chart.tooltip = tooltip; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - focusHeight: {get: function(){return height2;}, set: function(_){height2=_;}}, - showLegend: {get: function(){return showLegend;}, set: function(_){showLegend=_;}}, - brushExtent: {get: function(){return brushExtent;}, set: function(_){brushExtent=_;}}, - defaultState: {get: function(){return defaultState;}, set: function(_){defaultState=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - legend.color(color); - // line color is handled above? - }}, - interpolate: {get: function(){return lines.interpolate();}, set: function(_){ - lines.interpolate(_); - lines2.interpolate(_); - }}, - xTickFormat: {get: function(){return xAxis.tickFormat();}, set: function(_){ - xAxis.tickFormat(_); - x2Axis.tickFormat(_); - }}, - yTickFormat: {get: function(){return yAxis.tickFormat();}, set: function(_){ - yAxis.tickFormat(_); - y2Axis.tickFormat(_); - }}, - duration: {get: function(){return transitionDuration;}, set: function(_){ - transitionDuration=_; - yAxis.duration(transitionDuration); - y2Axis.duration(transitionDuration); - xAxis.duration(transitionDuration); - x2Axis.duration(transitionDuration); - }}, - x: {get: function(){return lines.x();}, set: function(_){ - lines.x(_); - lines2.x(_); - }}, - y: {get: function(){return lines.y();}, set: function(_){ - lines.y(_); - lines2.y(_); - }}, - useInteractiveGuideline: {get: function(){return useInteractiveGuideline;}, set: function(_){ - useInteractiveGuideline = _; - if (useInteractiveGuideline) { - lines.interactive(false); - lines.useVoronoi(false); - } - }} - }); - - nv.utils.inheritOptions(chart, lines); - nv.utils.initOptions(chart); - - return chart; -}; -nv.models.multiBar = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = 960 - , height = 500 - , x = d3.scale.ordinal() - , y = d3.scale.linear() - , id = Math.floor(Math.random() * 10000) //Create semi-unique ID in case user doesn't select one - , container = null - , getX = function(d) { return d.x } - , getY = function(d) { return d.y } - , getYerr = function(d) { return d.yErr } - , forceY = [0] // 0 is forced by default.. this makes sense for the majority of bar graphs... user can always do chart.forceY([]) to remove - , clipEdge = true - , stacked = false - , stackOffset = 'zero' // options include 'silhouette', 'wiggle', 'expand', 'zero', or a custom function - , color = nv.utils.defaultColor() - , errorBarColor = nv.utils.defaultColor() - , hideable = false - , barColor = null // adding the ability to set the color for each rather than the whole group - , disabled // used in conjunction with barColor to communicate from multiBarHorizontalChart what series are disabled - , duration = 500 - , xDomain - , yDomain - , xRange - , yRange - , groupSpacing = 0.1 - , dispatch = d3.dispatch('chartClick', 'elementClick', 'elementDblClick', 'elementMouseover', 'elementMouseout', 'elementMousemove', 'renderEnd') - ; - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var x0, y0 //used to store previous scales - , renderWatch = nv.utils.renderWatch(dispatch, duration) - ; - - var last_datalength = 0; - - function chart(selection) { - renderWatch.reset(); - selection.each(function(data) { - var availableWidth = width - margin.left - margin.right, - availableHeight = height - margin.top - margin.bottom; - - container = d3.select(this); - nv.utils.initSVG(container); - var nonStackableCount = 0; - // This function defines the requirements for render complete - var endFn = function(d, i) { - if (d.series === data.length - 1 && i === data[0].values.length - 1) - return true; - return false; - }; - - if(hideable && data.length) hideable = [{ - values: data[0].values.map(function(d) { - return { - x: d.x, - y: 0, - series: d.series, - size: 0.01 - };} - )}]; - - if (stacked) { - var parsed = d3.layout.stack() - .offset(stackOffset) - .values(function(d){ return d.values }) - .y(getY) - (!data.length && hideable ? hideable : data); - - parsed.forEach(function(series, i){ - // if series is non-stackable, use un-parsed data - if (series.nonStackable) { - data[i].nonStackableSeries = nonStackableCount++; - parsed[i] = data[i]; - } else { - // don't stack this seires on top of the nonStackable seriees - if (i > 0 && parsed[i - 1].nonStackable){ - parsed[i].values.map(function(d,j){ - d.y0 -= parsed[i - 1].values[j].y; - d.y1 = d.y0 + d.y; - }); - } - } - }); - data = parsed; - } - //add series index and key to each data point for reference - data.forEach(function(series, i) { - series.values.forEach(function(point) { - point.series = i; - point.key = series.key; - }); - }); - - // HACK for negative value stacking - if (stacked) { - data[0].values.map(function(d,i) { - var posBase = 0, negBase = 0; - data.map(function(d, idx) { - if (!data[idx].nonStackable) { - var f = d.values[i] - f.size = Math.abs(f.y); - if (f.y<0) { - f.y1 = negBase; - negBase = negBase - f.size; - } else - { - f.y1 = f.size + posBase; - posBase = posBase + f.size; - } - } - - }); - }); - } - // Setup Scales - // remap and flatten the data for use in calculating the scales' domains - var seriesData = (xDomain && yDomain) ? [] : // if we know xDomain and yDomain, no need to calculate - data.map(function(d, idx) { - return d.values.map(function(d,i) { - return { x: getX(d,i), y: getY(d,i), y0: d.y0, y1: d.y1, idx:idx, yErr: getYerr(d,i)} - }) - }); - - x.domain(xDomain || d3.merge(seriesData).map(function(d) { return d.x })) - .rangeBands(xRange || [0, availableWidth], groupSpacing); - - y.domain(yDomain || d3.extent(d3.merge( - d3.merge(seriesData).map(function(d) { - var domain = d.y; - // increase the domain range if this series is stackable - if (stacked && !data[d.idx].nonStackable) { - if (d.y > 0){ - domain = d.y1 - } else { - domain = d.y1 + d.y - } - } - var yerr = d.yErr; - if (yerr) { - if (yerr.length) { - return [domain + yerr[0], domain + yerr[1]]; - } else { - yerr = Math.abs(yerr) - return [domain - yerr, domain + yerr]; - } - } else { - return [domain]; - } - })).concat(forceY))) - .range(yRange || [availableHeight, 0]); - - // If scale's domain don't have a range, slightly adjust to make one... so a chart can show a single data point - if (x.domain()[0] === x.domain()[1]) - x.domain()[0] ? - x.domain([x.domain()[0] - x.domain()[0] * 0.01, x.domain()[1] + x.domain()[1] * 0.01]) - : x.domain([-1,1]); - - if (y.domain()[0] === y.domain()[1]) - y.domain()[0] ? - y.domain([y.domain()[0] + y.domain()[0] * 0.01, y.domain()[1] - y.domain()[1] * 0.01]) - : y.domain([-1,1]); - - x0 = x0 || x; - y0 = y0 || y; - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-multibar').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-multibar'); - var defsEnter = wrapEnter.append('defs'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-groups'); - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - defsEnter.append('clipPath') - .attr('id', 'nv-edge-clip-' + id) - .append('rect'); - wrap.select('#nv-edge-clip-' + id + ' rect') - .attr('width', availableWidth) - .attr('height', availableHeight); - - g.attr('clip-path', clipEdge ? 'url(#nv-edge-clip-' + id + ')' : ''); - - var groups = wrap.select('.nv-groups').selectAll('.nv-group') - .data(function(d) { return d }, function(d,i) { return i }); - groups.enter().append('g') - .style('stroke-opacity', 1e-6) - .style('fill-opacity', 1e-6); - - var exitTransition = renderWatch - .transition(groups.exit().selectAll('g.nv-bar'), 'multibarExit', Math.min(100, duration)) - .attr('y', function(d, i, j) { - var yVal = y0(0) || 0; - if (stacked) { - if (data[d.series] && !data[d.series].nonStackable) { - yVal = y0(d.y0); - } - } - return yVal; - }) - .attr('height', 0) - .remove(); - if (exitTransition.delay) - exitTransition.delay(function(d,i) { - var delay = i * (duration / (last_datalength + 1)) - i; - return delay; - }); - groups - .attr('class', function(d,i) { return 'nv-group nv-series-' + i }) - .classed('hover', function(d) { return d.hover }) - .style('fill', function(d,i){ return color(d, i) }) - .style('stroke', function(d,i){ return color(d, i) }); - groups - .style('stroke-opacity', 1) - .style('fill-opacity', 0.75); - - var bars = groups.selectAll('g.nv-bar') - .data(function(d) { return (hideable && !data.length) ? hideable.values : d.values }); - bars.exit().remove(); - - var barsEnter = bars.enter().append('g') - .attr('class', function(d,i) { return getY(d,i) < 0 ? 'nv-bar negative' : 'nv-bar positive'}) - .attr('transform', function(d,i,j) { - var _x = stacked && !data[j].nonStackable ? 0 : (j * x.rangeBand() / data.length ); - var _y = y0(stacked && !data[j].nonStackable ? d.y0 : 0) || 0; - return 'translate(' + _x + ',' + _y + ')'; - }) - ; - - barsEnter.append('rect') - .attr('height', 0) - .attr('width', function(d,i,j) { return x.rangeBand() / (stacked && !data[j].nonStackable ? 1 : data.length) }) - .style('fill', function(d,i,j){ return color(d, j, i); }) - .style('stroke', function(d,i,j){ return color(d, j, i); }) - ; - bars - .on('mouseover', function(d,i) { //TODO: figure out why j works above, but not here - d3.select(this).classed('hover', true); - dispatch.elementMouseover({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('mouseout', function(d,i) { - d3.select(this).classed('hover', false); - dispatch.elementMouseout({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('mousemove', function(d,i) { - dispatch.elementMousemove({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('click', function(d,i) { - dispatch.elementClick({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - d3.event.stopPropagation(); - }) - .on('dblclick', function(d,i) { - dispatch.elementDblClick({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - d3.event.stopPropagation(); - }); - - if (getYerr(data[0].values[0], 0)) { - barsEnter.append('polyline'); - - bars.select('polyline') - .attr('fill', 'none') - .attr('stroke', 'black') - //.attr('stroke', function(d, i, j) { return errorBarColor(d, j, i); }) - .attr('points', function(d,i) { - var yerr = getYerr(d,i) - , mid = 0.8 * x.rangeBand() / ((stacked ? 1 : data.length) * 2); - yerr = yerr.length ? yerr : [-Math.abs(yerr), Math.abs(yerr)]; - yerr = yerr.map(function(e) { return y(e) - y(0); }); - var a = [[-mid, yerr[0]], [mid, yerr[0]], [0, yerr[0]], [0, yerr[1]], [-mid, yerr[1]], [mid, yerr[1]]]; - return a.map(function (path) { return path.join(',') }).join(' '); - }) - .attr('transform', function(d, i) { - var xOffset = x.rangeBand() / ((stacked ? 1 : data.length) * 2); - var yOffset = getY(d,i) < 0 ? y(getY(d, i)) - y(0) : 0; - return 'translate(' + xOffset + ', ' + yOffset + ')'; - }) - } - - bars - .attr('class', function(d,i) { return getY(d,i) < 0 ? 'nv-bar negative' : 'nv-bar positive'}) - - if (barColor) { - if (!disabled) disabled = data.map(function() { return true }); - bars.select('rect') - .style('fill', function(d,i,j) { return d3.rgb(barColor(d,i)).darker( disabled.map(function(d,i) { return i }).filter(function(d,i){ return !disabled[i] })[j] ).toString(); }) - .style('stroke', function(d,i,j) { return d3.rgb(barColor(d,i)).darker( disabled.map(function(d,i) { return i }).filter(function(d,i){ return !disabled[i] })[j] ).toString(); }); - } - - var barSelection = - bars.watchTransition(renderWatch, 'multibar', Math.min(250, duration)) - .delay(function(d,i) { - return i * duration / data[0].values.length; - }); - if (stacked){ - barSelection - .attr('transform', function(d,i,j) { - var yVal = 0; - // if stackable, stack it on top of the previous series - if (!data[j].nonStackable) { - yVal = y(d.y1); - } else { - if (getY(d,i) < 0){ - yVal = y(0); - } else { - if (y(0) - y(getY(d,i)) < -1){ - yVal = y(0) - 1; - } else { - yVal = y(getY(d, i)) || 0; - } - } - } - var width = 0; - if (data[j].nonStackable) { - width = d.series * x.rangeBand() / data.length; - if (data.length !== nonStackableCount){ - width = data[j].nonStackableSeries * x.rangeBand()/(nonStackableCount*2); - } - } - var xVal = width + x(getX(d, i)); - return 'translate(' + xVal + ',' + yVal + ')'; - }) - .select('rect') - .attr('height', function(d,i,j) { - if (!data[j].nonStackable) { - return Math.max(Math.abs(y(d.y+d.y0) - y(d.y0)), 1); - } else { - return Math.max(Math.abs(y(getY(d,i)) - y(0)),1) || 0; - } - }) - .attr('width', function(d,i,j){ - if (!data[j].nonStackable) { - return x.rangeBand(); - } else { - // if all series are nonStacable, take the full width - var width = (x.rangeBand() / nonStackableCount); - // otherwise, nonStackable graph will be only taking the half-width - // of the x rangeBand - if (data.length !== nonStackableCount) { - width = x.rangeBand()/(nonStackableCount*2); - } - return width; - } - }); - } - else { - barSelection.attr('transform', function(d,i) { - var xVal = d.series * x.rangeBand() / data.length + x(getX(d, i)); - var yVal = getY(d,i) < 0 ? - y(0) : - y(0) - y(getY(d,i)) < 1 ? - y(0) - 1 : - y(getY(d,i)) || 0; - return 'translate(' + xVal + ',' + yVal + ')'; - }) - .select('rect') - .attr('width', x.rangeBand() / data.length) - .attr('height', function(d,i) { - return Math.max(Math.abs(y(getY(d,i)) - y(0)),1) || 0; - }); - } - - //store old scales for use in transitions on update - x0 = x.copy(); - y0 = y.copy(); - - // keep track of the last data value length for transition calculations - if (data[0] && data[0].values) { - last_datalength = data[0].values.length; - } - - }); - - renderWatch.renderEnd('multibar immediate'); - - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - x: {get: function(){return getX;}, set: function(_){getX=_;}}, - y: {get: function(){return getY;}, set: function(_){getY=_;}}, - yErr: {get: function(){return getYerr;}, set: function(_){getYerr=_;}}, - xScale: {get: function(){return x;}, set: function(_){x=_;}}, - yScale: {get: function(){return y;}, set: function(_){y=_;}}, - xDomain: {get: function(){return xDomain;}, set: function(_){xDomain=_;}}, - yDomain: {get: function(){return yDomain;}, set: function(_){yDomain=_;}}, - xRange: {get: function(){return xRange;}, set: function(_){xRange=_;}}, - yRange: {get: function(){return yRange;}, set: function(_){yRange=_;}}, - forceY: {get: function(){return forceY;}, set: function(_){forceY=_;}}, - stacked: {get: function(){return stacked;}, set: function(_){stacked=_;}}, - stackOffset: {get: function(){return stackOffset;}, set: function(_){stackOffset=_;}}, - clipEdge: {get: function(){return clipEdge;}, set: function(_){clipEdge=_;}}, - disabled: {get: function(){return disabled;}, set: function(_){disabled=_;}}, - id: {get: function(){return id;}, set: function(_){id=_;}}, - hideable: {get: function(){return hideable;}, set: function(_){hideable=_;}}, - groupSpacing:{get: function(){return groupSpacing;}, set: function(_){groupSpacing=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }}, - barColor: {get: function(){return barColor;}, set: function(_){ - barColor = _ ? nv.utils.getColor(_) : null; - }}, - errorBarColor: {get: function(){return errorBarColor;}, set: function(_){ - errorBarColor = _ ? nv.utils.getColor(_) : null; - }} - }); - - nv.utils.initOptions(chart); - - return chart; -}; - -nv.models.multiBarChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var multibar = nv.models.multiBar() - , xAxis = nv.models.axis() - , yAxis = nv.models.axis() - , legend = nv.models.legend() - , controls = nv.models.legend() - , tooltip = nv.models.tooltip() - ; - - var margin = {top: 30, right: 20, bottom: 50, left: 60} - , width = null - , height = null - , color = nv.utils.defaultColor() - , showControls = true - , controlLabels = {} - , showLegend = true - , showXAxis = true - , showYAxis = true - , rightAlignYAxis = false - , reduceXTicks = true // if false a tick will show for every data point - , staggerLabels = false - , rotateLabels = 0 - , x //can be accessed via chart.xScale() - , y //can be accessed via chart.yScale() - , state = nv.utils.state() - , defaultState = null - , noData = null - , dispatch = d3.dispatch('stateChange', 'changeState', 'renderEnd') - , controlWidth = function() { return showControls ? 180 : 0 } - , duration = 250 - ; - - state.stacked = false // DEPRECATED Maintained for backward compatibility - - multibar.stacked(false); - xAxis - .orient('bottom') - .tickPadding(7) - .showMaxMin(false) - .tickFormat(function(d) { return d }) - ; - yAxis - .orient((rightAlignYAxis) ? 'right' : 'left') - .tickFormat(d3.format(',.1f')) - ; - - tooltip - .duration(0) - .valueFormatter(function(d, i) { - return yAxis.tickFormat()(d, i); - }) - .headerFormatter(function(d, i) { - return xAxis.tickFormat()(d, i); - }); - - controls.updateState(false); - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var renderWatch = nv.utils.renderWatch(dispatch); - var stacked = false; - - var stateGetter = function(data) { - return function(){ - return { - active: data.map(function(d) { return !d.disabled }), - stacked: stacked - }; - } - }; - - var stateSetter = function(data) { - return function(state) { - if (state.stacked !== undefined) - stacked = state.stacked; - if (state.active !== undefined) - data.forEach(function(series,i) { - series.disabled = !state.active[i]; - }); - } - }; - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(multibar); - if (showXAxis) renderWatch.models(xAxis); - if (showYAxis) renderWatch.models(yAxis); - - selection.each(function(data) { - var container = d3.select(this), - that = this; - nv.utils.initSVG(container); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - chart.update = function() { - if (duration === 0) - container.call(chart); - else - container.transition() - .duration(duration) - .call(chart); - }; - chart.container = this; - - state - .setter(stateSetter(data), chart.update) - .getter(stateGetter(data)) - .update(); - - // DEPRECATED set state.disableddisabled - state.disabled = data.map(function(d) { return !!d.disabled }); - - if (!defaultState) { - var key; - defaultState = {}; - for (key in state) { - if (state[key] instanceof Array) - defaultState[key] = state[key].slice(0); - else - defaultState[key] = state[key]; - } - } - - // Display noData message if there's nothing to show. - if (!data || !data.length || !data.filter(function(d) { return d.values.length }).length) { - nv.utils.noData(chart, container) - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup Scales - x = multibar.xScale(); - y = multibar.yScale(); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-multiBarWithLegend').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-multiBarWithLegend').append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-x nv-axis'); - gEnter.append('g').attr('class', 'nv-y nv-axis'); - gEnter.append('g').attr('class', 'nv-barsWrap'); - gEnter.append('g').attr('class', 'nv-legendWrap'); - gEnter.append('g').attr('class', 'nv-controlsWrap'); - - // Legend - if (showLegend) { - legend.width(availableWidth - controlWidth()); - - g.select('.nv-legendWrap') - .datum(data) - .call(legend); - - if ( margin.top != legend.height()) { - margin.top = legend.height(); - availableHeight = nv.utils.availableHeight(height, container, margin); - } - - g.select('.nv-legendWrap') - .attr('transform', 'translate(' + controlWidth() + ',' + (-margin.top) +')'); - } - - // Controls - if (showControls) { - var controlsData = [ - { key: controlLabels.grouped || 'Grouped', disabled: multibar.stacked() }, - { key: controlLabels.stacked || 'Stacked', disabled: !multibar.stacked() } - ]; - - controls.width(controlWidth()).color(['#444', '#444', '#444']); - g.select('.nv-controlsWrap') - .datum(controlsData) - .attr('transform', 'translate(0,' + (-margin.top) +')') - .call(controls); - } - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - if (rightAlignYAxis) { - g.select(".nv-y.nv-axis") - .attr("transform", "translate(" + availableWidth + ",0)"); - } - - // Main Chart Component(s) - multibar - .disabled(data.map(function(series) { return series.disabled })) - .width(availableWidth) - .height(availableHeight) - .color(data.map(function(d,i) { - return d.color || color(d, i); - }).filter(function(d,i) { return !data[i].disabled })); - - - var barsWrap = g.select('.nv-barsWrap') - .datum(data.filter(function(d) { return !d.disabled })); - - barsWrap.call(multibar); - - // Setup Axes - if (showXAxis) { - xAxis - .scale(x) - ._ticks( nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize(-availableHeight, 0); - - g.select('.nv-x.nv-axis') - .attr('transform', 'translate(0,' + y.range()[0] + ')'); - g.select('.nv-x.nv-axis') - .call(xAxis); - - var xTicks = g.select('.nv-x.nv-axis > g').selectAll('g'); - - xTicks - .selectAll('line, text') - .style('opacity', 1) - - if (staggerLabels) { - var getTranslate = function(x,y) { - return "translate(" + x + "," + y + ")"; - }; - - var staggerUp = 5, staggerDown = 17; //pixels to stagger by - // Issue #140 - xTicks - .selectAll("text") - .attr('transform', function(d,i,j) { - return getTranslate(0, (j % 2 == 0 ? staggerUp : staggerDown)); - }); - - var totalInBetweenTicks = d3.selectAll(".nv-x.nv-axis .nv-wrap g g text")[0].length; - g.selectAll(".nv-x.nv-axis .nv-axisMaxMin text") - .attr("transform", function(d,i) { - return getTranslate(0, (i === 0 || totalInBetweenTicks % 2 !== 0) ? staggerDown : staggerUp); - }); - } - - if (reduceXTicks) - xTicks - .filter(function(d,i) { - return i % Math.ceil(data[0].values.length / (availableWidth / 100)) !== 0; - }) - .selectAll('text, line') - .style('opacity', 0); - - if(rotateLabels) - xTicks - .selectAll('.tick text') - .attr('transform', 'rotate(' + rotateLabels + ' 0,0)') - .style('text-anchor', rotateLabels > 0 ? 'start' : 'end'); - - g.select('.nv-x.nv-axis').selectAll('g.nv-axisMaxMin text') - .style('opacity', 1); - } - - if (showYAxis) { - yAxis - .scale(y) - ._ticks( nv.utils.calcTicksY(availableHeight/36, data) ) - .tickSize( -availableWidth, 0); - - g.select('.nv-y.nv-axis') - .call(yAxis); - } - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - - legend.dispatch.on('stateChange', function(newState) { - for (var key in newState) - state[key] = newState[key]; - dispatch.stateChange(state); - chart.update(); - }); - - controls.dispatch.on('legendClick', function(d,i) { - if (!d.disabled) return; - controlsData = controlsData.map(function(s) { - s.disabled = true; - return s; - }); - d.disabled = false; - - switch (d.key) { - case 'Grouped': - case controlLabels.grouped: - multibar.stacked(false); - break; - case 'Stacked': - case controlLabels.stacked: - multibar.stacked(true); - break; - } - - state.stacked = multibar.stacked(); - dispatch.stateChange(state); - chart.update(); - }); - - // Update chart from a state object passed to event handler - dispatch.on('changeState', function(e) { - if (typeof e.disabled !== 'undefined') { - data.forEach(function(series,i) { - series.disabled = e.disabled[i]; - }); - state.disabled = e.disabled; - } - if (typeof e.stacked !== 'undefined') { - multibar.stacked(e.stacked); - state.stacked = e.stacked; - stacked = e.stacked; - } - chart.update(); - }); - }); - - renderWatch.renderEnd('multibarchart immediate'); - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - multibar.dispatch.on('elementMouseover.tooltip', function(evt) { - evt.value = chart.x()(evt.data); - evt['series'] = { - key: evt.data.key, - value: chart.y()(evt.data), - color: evt.color - }; - tooltip.data(evt).hidden(false); - }); - - multibar.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true); - }); - - multibar.dispatch.on('elementMousemove.tooltip', function(evt) { - tooltip.position({top: d3.event.pageY, left: d3.event.pageX})(); - }); - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.dispatch = dispatch; - chart.multibar = multibar; - chart.legend = legend; - chart.controls = controls; - chart.xAxis = xAxis; - chart.yAxis = yAxis; - chart.state = state; - chart.tooltip = tooltip; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - showLegend: {get: function(){return showLegend;}, set: function(_){showLegend=_;}}, - showControls: {get: function(){return showControls;}, set: function(_){showControls=_;}}, - controlLabels: {get: function(){return controlLabels;}, set: function(_){controlLabels=_;}}, - showXAxis: {get: function(){return showXAxis;}, set: function(_){showXAxis=_;}}, - showYAxis: {get: function(){return showYAxis;}, set: function(_){showYAxis=_;}}, - defaultState: {get: function(){return defaultState;}, set: function(_){defaultState=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - reduceXTicks: {get: function(){return reduceXTicks;}, set: function(_){reduceXTicks=_;}}, - rotateLabels: {get: function(){return rotateLabels;}, set: function(_){rotateLabels=_;}}, - staggerLabels: {get: function(){return staggerLabels;}, set: function(_){staggerLabels=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - multibar.duration(duration); - xAxis.duration(duration); - yAxis.duration(duration); - renderWatch.reset(duration); - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - legend.color(color); - }}, - rightAlignYAxis: {get: function(){return rightAlignYAxis;}, set: function(_){ - rightAlignYAxis = _; - yAxis.orient( rightAlignYAxis ? 'right' : 'left'); - }}, - barColor: {get: function(){return multibar.barColor;}, set: function(_){ - multibar.barColor(_); - legend.color(function(d,i) {return d3.rgb('#ccc').darker(i * 1.5).toString();}) - }} - }); - - nv.utils.inheritOptions(chart, multibar); - nv.utils.initOptions(chart); - - return chart; -}; - -nv.models.multiBarHorizontal = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = 960 - , height = 500 - , id = Math.floor(Math.random() * 10000) //Create semi-unique ID in case user doesn't select one - , container = null - , x = d3.scale.ordinal() - , y = d3.scale.linear() - , getX = function(d) { return d.x } - , getY = function(d) { return d.y } - , getYerr = function(d) { return d.yErr } - , forceY = [0] // 0 is forced by default.. this makes sense for the majority of bar graphs... user can always do chart.forceY([]) to remove - , color = nv.utils.defaultColor() - , barColor = null // adding the ability to set the color for each rather than the whole group - , errorBarColor = nv.utils.defaultColor() - , disabled // used in conjunction with barColor to communicate from multiBarHorizontalChart what series are disabled - , stacked = false - , showValues = false - , showBarLabels = false - , valuePadding = 60 - , groupSpacing = 0.1 - , valueFormat = d3.format(',.2f') - , delay = 1200 - , xDomain - , yDomain - , xRange - , yRange - , duration = 250 - , dispatch = d3.dispatch('chartClick', 'elementClick', 'elementDblClick', 'elementMouseover', 'elementMouseout', 'elementMousemove', 'renderEnd') - ; - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var x0, y0; //used to store previous scales - var renderWatch = nv.utils.renderWatch(dispatch, duration); - - function chart(selection) { - renderWatch.reset(); - selection.each(function(data) { - var availableWidth = width - margin.left - margin.right, - availableHeight = height - margin.top - margin.bottom; - - container = d3.select(this); - nv.utils.initSVG(container); - - if (stacked) - data = d3.layout.stack() - .offset('zero') - .values(function(d){ return d.values }) - .y(getY) - (data); - - //add series index and key to each data point for reference - data.forEach(function(series, i) { - series.values.forEach(function(point) { - point.series = i; - point.key = series.key; - }); - }); - - // HACK for negative value stacking - if (stacked) - data[0].values.map(function(d,i) { - var posBase = 0, negBase = 0; - data.map(function(d) { - var f = d.values[i] - f.size = Math.abs(f.y); - if (f.y<0) { - f.y1 = negBase - f.size; - negBase = negBase - f.size; - } else - { - f.y1 = posBase; - posBase = posBase + f.size; - } - }); - }); - - // Setup Scales - // remap and flatten the data for use in calculating the scales' domains - var seriesData = (xDomain && yDomain) ? [] : // if we know xDomain and yDomain, no need to calculate - data.map(function(d) { - return d.values.map(function(d,i) { - return { x: getX(d,i), y: getY(d,i), y0: d.y0, y1: d.y1, yErr: getYerr(d,i) } - }) - }); - - x.domain(xDomain || d3.merge(seriesData).map(function(d) { return d.x })) - .rangeBands(xRange || [0, availableHeight], groupSpacing); - - y.domain(yDomain || d3.extent(d3.merge( - d3.merge(seriesData).map(function(d) { - var domain = d.y; - if (stacked) { - if (d.y > 0){ - domain = d.y1 + d.y - } else { - domain = d.y1 - } - } - var yerr = d.yErr; - if (yerr) { - if (yerr.length) { - return [domain + yerr[0], domain + yerr[1]]; - } else { - yerr = Math.abs(yerr) - return [domain - yerr, domain + yerr]; - } - } else { - return [domain]; - } - })).concat(forceY))) - - if (showValues && !stacked) - y.range(yRange || [(y.domain()[0] < 0 ? valuePadding : 0), availableWidth - (y.domain()[1] > 0 ? valuePadding : 0) ]); - else - y.range(yRange || [0, availableWidth]); - - x0 = x0 || x; - y0 = y0 || d3.scale.linear().domain(y.domain()).range([y(0),y(0)]); - - // Setup containers and skeleton of chart - var wrap = d3.select(this).selectAll('g.nv-wrap.nv-multibarHorizontal').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-multibarHorizontal'); - var defsEnter = wrapEnter.append('defs'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-groups'); - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - var groups = wrap.select('.nv-groups').selectAll('.nv-group') - .data(function(d) { return d }, function(d,i) { return i }); - groups.enter().append('g') - .style('stroke-opacity', 1e-6) - .style('fill-opacity', 1e-6); - groups.exit().watchTransition(renderWatch, 'multibarhorizontal: exit groups') - .style('stroke-opacity', 1e-6) - .style('fill-opacity', 1e-6) - .remove(); - groups - .attr('class', function(d,i) { return 'nv-group nv-series-' + i }) - .classed('hover', function(d) { return d.hover }) - .style('fill', function(d,i){ return color(d, i) }) - .style('stroke', function(d,i){ return color(d, i) }); - groups.watchTransition(renderWatch, 'multibarhorizontal: groups') - .style('stroke-opacity', 1) - .style('fill-opacity', .75); - - var bars = groups.selectAll('g.nv-bar') - .data(function(d) { return d.values }); - bars.exit().remove(); - - var barsEnter = bars.enter().append('g') - .attr('transform', function(d,i,j) { - return 'translate(' + y0(stacked ? d.y0 : 0) + ',' + (stacked ? 0 : (j * x.rangeBand() / data.length ) + x(getX(d,i))) + ')' - }); - - barsEnter.append('rect') - .attr('width', 0) - .attr('height', x.rangeBand() / (stacked ? 1 : data.length) ) - - bars - .on('mouseover', function(d,i) { //TODO: figure out why j works above, but not here - d3.select(this).classed('hover', true); - dispatch.elementMouseover({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('mouseout', function(d,i) { - d3.select(this).classed('hover', false); - dispatch.elementMouseout({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('mouseout', function(d,i) { - dispatch.elementMouseout({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('mousemove', function(d,i) { - dispatch.elementMousemove({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - }) - .on('click', function(d,i) { - dispatch.elementClick({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - d3.event.stopPropagation(); - }) - .on('dblclick', function(d,i) { - dispatch.elementDblClick({ - data: d, - index: i, - color: d3.select(this).style("fill") - }); - d3.event.stopPropagation(); - }); - - if (getYerr(data[0].values[0], 0)) { - barsEnter.append('polyline'); - - bars.select('polyline') - .attr('fill', 'none') - .attr('stroke', function(d,i,j) { return errorBarColor(d, j, i); }) - .attr('points', function(d,i) { - var xerr = getYerr(d,i) - , mid = 0.8 * x.rangeBand() / ((stacked ? 1 : data.length) * 2); - xerr = xerr.length ? xerr : [-Math.abs(xerr), Math.abs(xerr)]; - xerr = xerr.map(function(e) { return y(e) - y(0); }); - var a = [[xerr[0],-mid], [xerr[0],mid], [xerr[0],0], [xerr[1],0], [xerr[1],-mid], [xerr[1],mid]]; - return a.map(function (path) { return path.join(',') }).join(' '); - }) - .attr('transform', function(d,i) { - var mid = x.rangeBand() / ((stacked ? 1 : data.length) * 2); - return 'translate(' + (getY(d,i) < 0 ? 0 : y(getY(d,i)) - y(0)) + ', ' + mid + ')' - }); - } - - barsEnter.append('text'); - - if (showValues && !stacked) { - bars.select('text') - .attr('text-anchor', function(d,i) { return getY(d,i) < 0 ? 'end' : 'start' }) - .attr('y', x.rangeBand() / (data.length * 2)) - .attr('dy', '.32em') - .text(function(d,i) { - var t = valueFormat(getY(d,i)) - , yerr = getYerr(d,i); - if (yerr === undefined) - return t; - if (!yerr.length) - return t + '±' + valueFormat(Math.abs(yerr)); - return t + '+' + valueFormat(Math.abs(yerr[1])) + '-' + valueFormat(Math.abs(yerr[0])); - }); - bars.watchTransition(renderWatch, 'multibarhorizontal: bars') - .select('text') - .attr('x', function(d,i) { return getY(d,i) < 0 ? -4 : y(getY(d,i)) - y(0) + 4 }) - } else { - bars.selectAll('text').text(''); - } - - if (showBarLabels && !stacked) { - barsEnter.append('text').classed('nv-bar-label',true); - bars.select('text.nv-bar-label') - .attr('text-anchor', function(d,i) { return getY(d,i) < 0 ? 'start' : 'end' }) - .attr('y', x.rangeBand() / (data.length * 2)) - .attr('dy', '.32em') - .text(function(d,i) { return getX(d,i) }); - bars.watchTransition(renderWatch, 'multibarhorizontal: bars') - .select('text.nv-bar-label') - .attr('x', function(d,i) { return getY(d,i) < 0 ? y(0) - y(getY(d,i)) + 4 : -4 }); - } - else { - bars.selectAll('text.nv-bar-label').text(''); - } - - bars - .attr('class', function(d,i) { return getY(d,i) < 0 ? 'nv-bar negative' : 'nv-bar positive'}) - - if (barColor) { - if (!disabled) disabled = data.map(function() { return true }); - bars - .style('fill', function(d,i,j) { return d3.rgb(barColor(d,i)).darker( disabled.map(function(d,i) { return i }).filter(function(d,i){ return !disabled[i] })[j] ).toString(); }) - .style('stroke', function(d,i,j) { return d3.rgb(barColor(d,i)).darker( disabled.map(function(d,i) { return i }).filter(function(d,i){ return !disabled[i] })[j] ).toString(); }); - } - - if (stacked) - bars.watchTransition(renderWatch, 'multibarhorizontal: bars') - .attr('transform', function(d,i) { - return 'translate(' + y(d.y1) + ',' + x(getX(d,i)) + ')' - }) - .select('rect') - .attr('width', function(d,i) { - return Math.abs(y(getY(d,i) + d.y0) - y(d.y0)) - }) - .attr('height', x.rangeBand() ); - else - bars.watchTransition(renderWatch, 'multibarhorizontal: bars') - .attr('transform', function(d,i) { - //TODO: stacked must be all positive or all negative, not both? - return 'translate(' + - (getY(d,i) < 0 ? y(getY(d,i)) : y(0)) - + ',' + - (d.series * x.rangeBand() / data.length - + - x(getX(d,i)) ) - + ')' - }) - .select('rect') - .attr('height', x.rangeBand() / data.length ) - .attr('width', function(d,i) { - return Math.max(Math.abs(y(getY(d,i)) - y(0)),1) - }); - - //store old scales for use in transitions on update - x0 = x.copy(); - y0 = y.copy(); - - }); - - renderWatch.renderEnd('multibarHorizontal immediate'); - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - x: {get: function(){return getX;}, set: function(_){getX=_;}}, - y: {get: function(){return getY;}, set: function(_){getY=_;}}, - yErr: {get: function(){return getYerr;}, set: function(_){getYerr=_;}}, - xScale: {get: function(){return x;}, set: function(_){x=_;}}, - yScale: {get: function(){return y;}, set: function(_){y=_;}}, - xDomain: {get: function(){return xDomain;}, set: function(_){xDomain=_;}}, - yDomain: {get: function(){return yDomain;}, set: function(_){yDomain=_;}}, - xRange: {get: function(){return xRange;}, set: function(_){xRange=_;}}, - yRange: {get: function(){return yRange;}, set: function(_){yRange=_;}}, - forceY: {get: function(){return forceY;}, set: function(_){forceY=_;}}, - stacked: {get: function(){return stacked;}, set: function(_){stacked=_;}}, - showValues: {get: function(){return showValues;}, set: function(_){showValues=_;}}, - // this shows the group name, seems pointless? - //showBarLabels: {get: function(){return showBarLabels;}, set: function(_){showBarLabels=_;}}, - disabled: {get: function(){return disabled;}, set: function(_){disabled=_;}}, - id: {get: function(){return id;}, set: function(_){id=_;}}, - valueFormat: {get: function(){return valueFormat;}, set: function(_){valueFormat=_;}}, - valuePadding: {get: function(){return valuePadding;}, set: function(_){valuePadding=_;}}, - groupSpacing:{get: function(){return groupSpacing;}, set: function(_){groupSpacing=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }}, - barColor: {get: function(){return barColor;}, set: function(_){ - barColor = _ ? nv.utils.getColor(_) : null; - }}, - errorBarColor: {get: function(){return errorBarColor;}, set: function(_){ - errorBarColor = _ ? nv.utils.getColor(_) : null; - }} - }); - - nv.utils.initOptions(chart); - - return chart; -}; - -nv.models.multiBarHorizontalChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var multibar = nv.models.multiBarHorizontal() - , xAxis = nv.models.axis() - , yAxis = nv.models.axis() - , legend = nv.models.legend().height(30) - , controls = nv.models.legend().height(30) - , tooltip = nv.models.tooltip() - ; - - var margin = {top: 30, right: 20, bottom: 50, left: 60} - , width = null - , height = null - , color = nv.utils.defaultColor() - , showControls = true - , controlLabels = {} - , showLegend = true - , showXAxis = true - , showYAxis = true - , stacked = false - , x //can be accessed via chart.xScale() - , y //can be accessed via chart.yScale() - , state = nv.utils.state() - , defaultState = null - , noData = null - , dispatch = d3.dispatch('stateChange', 'changeState','renderEnd') - , controlWidth = function() { return showControls ? 180 : 0 } - , duration = 250 - ; - - state.stacked = false; // DEPRECATED Maintained for backward compatibility - - multibar.stacked(stacked); - - xAxis - .orient('left') - .tickPadding(5) - .showMaxMin(false) - .tickFormat(function(d) { return d }) - ; - yAxis - .orient('bottom') - .tickFormat(d3.format(',.1f')) - ; - - tooltip - .duration(0) - .valueFormatter(function(d, i) { - return yAxis.tickFormat()(d, i); - }) - .headerFormatter(function(d, i) { - return xAxis.tickFormat()(d, i); - }); - - controls.updateState(false); - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var stateGetter = function(data) { - return function(){ - return { - active: data.map(function(d) { return !d.disabled }), - stacked: stacked - }; - } - }; - - var stateSetter = function(data) { - return function(state) { - if (state.stacked !== undefined) - stacked = state.stacked; - if (state.active !== undefined) - data.forEach(function(series,i) { - series.disabled = !state.active[i]; - }); - } - }; - - var renderWatch = nv.utils.renderWatch(dispatch, duration); - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(multibar); - if (showXAxis) renderWatch.models(xAxis); - if (showYAxis) renderWatch.models(yAxis); - - selection.each(function(data) { - var container = d3.select(this), - that = this; - nv.utils.initSVG(container); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - chart.update = function() { container.transition().duration(duration).call(chart) }; - chart.container = this; - - stacked = multibar.stacked(); - - state - .setter(stateSetter(data), chart.update) - .getter(stateGetter(data)) - .update(); - - // DEPRECATED set state.disableddisabled - state.disabled = data.map(function(d) { return !!d.disabled }); - - if (!defaultState) { - var key; - defaultState = {}; - for (key in state) { - if (state[key] instanceof Array) - defaultState[key] = state[key].slice(0); - else - defaultState[key] = state[key]; - } - } - - // Display No Data message if there's nothing to show. - if (!data || !data.length || !data.filter(function(d) { return d.values.length }).length) { - nv.utils.noData(chart, container) - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup Scales - x = multibar.xScale(); - y = multibar.yScale(); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-multiBarHorizontalChart').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-multiBarHorizontalChart').append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-x nv-axis'); - gEnter.append('g').attr('class', 'nv-y nv-axis') - .append('g').attr('class', 'nv-zeroLine') - .append('line'); - gEnter.append('g').attr('class', 'nv-barsWrap'); - gEnter.append('g').attr('class', 'nv-legendWrap'); - gEnter.append('g').attr('class', 'nv-controlsWrap'); - - // Legend - if (showLegend) { - legend.width(availableWidth - controlWidth()); - - g.select('.nv-legendWrap') - .datum(data) - .call(legend); - - if ( margin.top != legend.height()) { - margin.top = legend.height(); - availableHeight = nv.utils.availableHeight(height, container, margin); - } - - g.select('.nv-legendWrap') - .attr('transform', 'translate(' + controlWidth() + ',' + (-margin.top) +')'); - } - - // Controls - if (showControls) { - var controlsData = [ - { key: controlLabels.grouped || 'Grouped', disabled: multibar.stacked() }, - { key: controlLabels.stacked || 'Stacked', disabled: !multibar.stacked() } - ]; - - controls.width(controlWidth()).color(['#444', '#444', '#444']); - g.select('.nv-controlsWrap') - .datum(controlsData) - .attr('transform', 'translate(0,' + (-margin.top) +')') - .call(controls); - } - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - // Main Chart Component(s) - multibar - .disabled(data.map(function(series) { return series.disabled })) - .width(availableWidth) - .height(availableHeight) - .color(data.map(function(d,i) { - return d.color || color(d, i); - }).filter(function(d,i) { return !data[i].disabled })); - - var barsWrap = g.select('.nv-barsWrap') - .datum(data.filter(function(d) { return !d.disabled })); - - barsWrap.transition().call(multibar); - - // Setup Axes - if (showXAxis) { - xAxis - .scale(x) - ._ticks( nv.utils.calcTicksY(availableHeight/24, data) ) - .tickSize(-availableWidth, 0); - - g.select('.nv-x.nv-axis').call(xAxis); - - var xTicks = g.select('.nv-x.nv-axis').selectAll('g'); - - xTicks - .selectAll('line, text'); - } - - if (showYAxis) { - yAxis - .scale(y) - ._ticks( nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize( -availableHeight, 0); - - g.select('.nv-y.nv-axis') - .attr('transform', 'translate(0,' + availableHeight + ')'); - g.select('.nv-y.nv-axis').call(yAxis); - } - - // Zero line - g.select(".nv-zeroLine line") - .attr("x1", y(0)) - .attr("x2", y(0)) - .attr("y1", 0) - .attr("y2", -availableHeight) - ; - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - - legend.dispatch.on('stateChange', function(newState) { - for (var key in newState) - state[key] = newState[key]; - dispatch.stateChange(state); - chart.update(); - }); - - controls.dispatch.on('legendClick', function(d,i) { - if (!d.disabled) return; - controlsData = controlsData.map(function(s) { - s.disabled = true; - return s; - }); - d.disabled = false; - - switch (d.key) { - case 'Grouped': - multibar.stacked(false); - break; - case 'Stacked': - multibar.stacked(true); - break; - } - - state.stacked = multibar.stacked(); - dispatch.stateChange(state); - stacked = multibar.stacked(); - - chart.update(); - }); - - // Update chart from a state object passed to event handler - dispatch.on('changeState', function(e) { - - if (typeof e.disabled !== 'undefined') { - data.forEach(function(series,i) { - series.disabled = e.disabled[i]; - }); - - state.disabled = e.disabled; - } - - if (typeof e.stacked !== 'undefined') { - multibar.stacked(e.stacked); - state.stacked = e.stacked; - stacked = e.stacked; - } - - chart.update(); - }); - }); - renderWatch.renderEnd('multibar horizontal chart immediate'); - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - multibar.dispatch.on('elementMouseover.tooltip', function(evt) { - evt.value = chart.x()(evt.data); - evt['series'] = { - key: evt.data.key, - value: chart.y()(evt.data), - color: evt.color - }; - tooltip.data(evt).hidden(false); - }); - - multibar.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true); - }); - - multibar.dispatch.on('elementMousemove.tooltip', function(evt) { - tooltip.position({top: d3.event.pageY, left: d3.event.pageX})(); - }); - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.dispatch = dispatch; - chart.multibar = multibar; - chart.legend = legend; - chart.controls = controls; - chart.xAxis = xAxis; - chart.yAxis = yAxis; - chart.state = state; - chart.tooltip = tooltip; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - showLegend: {get: function(){return showLegend;}, set: function(_){showLegend=_;}}, - showControls: {get: function(){return showControls;}, set: function(_){showControls=_;}}, - controlLabels: {get: function(){return controlLabels;}, set: function(_){controlLabels=_;}}, - showXAxis: {get: function(){return showXAxis;}, set: function(_){showXAxis=_;}}, - showYAxis: {get: function(){return showYAxis;}, set: function(_){showYAxis=_;}}, - defaultState: {get: function(){return defaultState;}, set: function(_){defaultState=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - multibar.duration(duration); - xAxis.duration(duration); - yAxis.duration(duration); - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - legend.color(color); - }}, - barColor: {get: function(){return multibar.barColor;}, set: function(_){ - multibar.barColor(_); - legend.color(function(d,i) {return d3.rgb('#ccc').darker(i * 1.5).toString();}) - }} - }); - - nv.utils.inheritOptions(chart, multibar); - nv.utils.initOptions(chart); - - return chart; -}; -nv.models.multiChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 30, right: 20, bottom: 50, left: 60}, - color = nv.utils.defaultColor(), - width = null, - height = null, - showLegend = true, - noData = null, - yDomain1, - yDomain2, - getX = function(d) { return d.x }, - getY = function(d) { return d.y}, - interpolate = 'monotone', - useVoronoi = true - ; - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var x = d3.scale.linear(), - yScale1 = d3.scale.linear(), - yScale2 = d3.scale.linear(), - - lines1 = nv.models.line().yScale(yScale1), - lines2 = nv.models.line().yScale(yScale2), - - bars1 = nv.models.multiBar().stacked(false).yScale(yScale1), - bars2 = nv.models.multiBar().stacked(false).yScale(yScale2), - - stack1 = nv.models.stackedArea().yScale(yScale1), - stack2 = nv.models.stackedArea().yScale(yScale2), - - xAxis = nv.models.axis().scale(x).orient('bottom').tickPadding(5), - yAxis1 = nv.models.axis().scale(yScale1).orient('left'), - yAxis2 = nv.models.axis().scale(yScale2).orient('right'), - - legend = nv.models.legend().height(30), - tooltip = nv.models.tooltip(), - dispatch = d3.dispatch(); - - function chart(selection) { - selection.each(function(data) { - var container = d3.select(this), - that = this; - nv.utils.initSVG(container); - - chart.update = function() { container.transition().call(chart); }; - chart.container = this; - - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - var dataLines1 = data.filter(function(d) {return d.type == 'line' && d.yAxis == 1}); - var dataLines2 = data.filter(function(d) {return d.type == 'line' && d.yAxis == 2}); - var dataBars1 = data.filter(function(d) {return d.type == 'bar' && d.yAxis == 1}); - var dataBars2 = data.filter(function(d) {return d.type == 'bar' && d.yAxis == 2}); - var dataStack1 = data.filter(function(d) {return d.type == 'area' && d.yAxis == 1}); - var dataStack2 = data.filter(function(d) {return d.type == 'area' && d.yAxis == 2}); - - // Display noData message if there's nothing to show. - if (!data || !data.length || !data.filter(function(d) { return d.values.length }).length) { - nv.utils.noData(chart, container); - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - var series1 = data.filter(function(d) {return !d.disabled && d.yAxis == 1}) - .map(function(d) { - return d.values.map(function(d,i) { - return { x: d.x, y: d.y } - }) - }); - - var series2 = data.filter(function(d) {return !d.disabled && d.yAxis == 2}) - .map(function(d) { - return d.values.map(function(d,i) { - return { x: d.x, y: d.y } - }) - }); - - x .domain(d3.extent(d3.merge(series1.concat(series2)), function(d) { return d.x } )) - .range([0, availableWidth]); - - var wrap = container.selectAll('g.wrap.multiChart').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'wrap nvd3 multiChart').append('g'); - - gEnter.append('g').attr('class', 'nv-x nv-axis'); - gEnter.append('g').attr('class', 'nv-y1 nv-axis'); - gEnter.append('g').attr('class', 'nv-y2 nv-axis'); - gEnter.append('g').attr('class', 'lines1Wrap'); - gEnter.append('g').attr('class', 'lines2Wrap'); - gEnter.append('g').attr('class', 'bars1Wrap'); - gEnter.append('g').attr('class', 'bars2Wrap'); - gEnter.append('g').attr('class', 'stack1Wrap'); - gEnter.append('g').attr('class', 'stack2Wrap'); - gEnter.append('g').attr('class', 'legendWrap'); - - var g = wrap.select('g'); - - var color_array = data.map(function(d,i) { - return data[i].color || color(d, i); - }); - - if (showLegend) { - var legendWidth = legend.align() ? availableWidth / 2 : availableWidth; - var legendXPosition = legend.align() ? legendWidth : 0; - - legend.width(legendWidth); - legend.color(color_array); - - g.select('.legendWrap') - .datum(data.map(function(series) { - series.originalKey = series.originalKey === undefined ? series.key : series.originalKey; - series.key = series.originalKey + (series.yAxis == 1 ? '' : ' (right axis)'); - return series; - })) - .call(legend); - - if ( margin.top != legend.height()) { - margin.top = legend.height(); - availableHeight = nv.utils.availableHeight(height, container, margin); - } - - g.select('.legendWrap') - .attr('transform', 'translate(' + legendXPosition + ',' + (-margin.top) +')'); - } - - lines1 - .width(availableWidth) - .height(availableHeight) - .interpolate(interpolate) - .color(color_array.filter(function(d,i) { return !data[i].disabled && data[i].yAxis == 1 && data[i].type == 'line'})); - lines2 - .width(availableWidth) - .height(availableHeight) - .interpolate(interpolate) - .color(color_array.filter(function(d,i) { return !data[i].disabled && data[i].yAxis == 2 && data[i].type == 'line'})); - bars1 - .width(availableWidth) - .height(availableHeight) - .color(color_array.filter(function(d,i) { return !data[i].disabled && data[i].yAxis == 1 && data[i].type == 'bar'})); - bars2 - .width(availableWidth) - .height(availableHeight) - .color(color_array.filter(function(d,i) { return !data[i].disabled && data[i].yAxis == 2 && data[i].type == 'bar'})); - stack1 - .width(availableWidth) - .height(availableHeight) - .color(color_array.filter(function(d,i) { return !data[i].disabled && data[i].yAxis == 1 && data[i].type == 'area'})); - stack2 - .width(availableWidth) - .height(availableHeight) - .color(color_array.filter(function(d,i) { return !data[i].disabled && data[i].yAxis == 2 && data[i].type == 'area'})); - - g.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - var lines1Wrap = g.select('.lines1Wrap') - .datum(dataLines1.filter(function(d){return !d.disabled})); - var bars1Wrap = g.select('.bars1Wrap') - .datum(dataBars1.filter(function(d){return !d.disabled})); - var stack1Wrap = g.select('.stack1Wrap') - .datum(dataStack1.filter(function(d){return !d.disabled})); - var lines2Wrap = g.select('.lines2Wrap') - .datum(dataLines2.filter(function(d){return !d.disabled})); - var bars2Wrap = g.select('.bars2Wrap') - .datum(dataBars2.filter(function(d){return !d.disabled})); - var stack2Wrap = g.select('.stack2Wrap') - .datum(dataStack2.filter(function(d){return !d.disabled})); - - var extraValue1 = dataStack1.length ? dataStack1.map(function(a){return a.values}).reduce(function(a,b){ - return a.map(function(aVal,i){return {x: aVal.x, y: aVal.y + b[i].y}}) - }).concat([{x:0, y:0}]) : []; - var extraValue2 = dataStack2.length ? dataStack2.map(function(a){return a.values}).reduce(function(a,b){ - return a.map(function(aVal,i){return {x: aVal.x, y: aVal.y + b[i].y}}) - }).concat([{x:0, y:0}]) : []; - - yScale1 .domain(yDomain1 || d3.extent(d3.merge(series1).concat(extraValue1), function(d) { return d.y } )) - .range([0, availableHeight]); - - yScale2 .domain(yDomain2 || d3.extent(d3.merge(series2).concat(extraValue2), function(d) { return d.y } )) - .range([0, availableHeight]); - - lines1.yDomain(yScale1.domain()); - bars1.yDomain(yScale1.domain()); - stack1.yDomain(yScale1.domain()); - - lines2.yDomain(yScale2.domain()); - bars2.yDomain(yScale2.domain()); - stack2.yDomain(yScale2.domain()); - - if(dataStack1.length){d3.transition(stack1Wrap).call(stack1);} - if(dataStack2.length){d3.transition(stack2Wrap).call(stack2);} - - if(dataBars1.length){d3.transition(bars1Wrap).call(bars1);} - if(dataBars2.length){d3.transition(bars2Wrap).call(bars2);} - - if(dataLines1.length){d3.transition(lines1Wrap).call(lines1);} - if(dataLines2.length){d3.transition(lines2Wrap).call(lines2);} - - xAxis - ._ticks( nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize(-availableHeight, 0); - - g.select('.nv-x.nv-axis') - .attr('transform', 'translate(0,' + availableHeight + ')'); - d3.transition(g.select('.nv-x.nv-axis')) - .call(xAxis); - - yAxis1 - ._ticks( nv.utils.calcTicksY(availableHeight/36, data) ) - .tickSize( -availableWidth, 0); - - - d3.transition(g.select('.nv-y1.nv-axis')) - .call(yAxis1); - - yAxis2 - ._ticks( nv.utils.calcTicksY(availableHeight/36, data) ) - .tickSize( -availableWidth, 0); - - d3.transition(g.select('.nv-y2.nv-axis')) - .call(yAxis2); - - g.select('.nv-y1.nv-axis') - .classed('nv-disabled', series1.length ? false : true) - .attr('transform', 'translate(' + x.range()[0] + ',0)'); - - g.select('.nv-y2.nv-axis') - .classed('nv-disabled', series2.length ? false : true) - .attr('transform', 'translate(' + x.range()[1] + ',0)'); - - legend.dispatch.on('stateChange', function(newState) { - chart.update(); - }); - - //============================================================ - // Event Handling/Dispatching - //------------------------------------------------------------ - - function mouseover_line(evt) { - var yaxis = data[evt.seriesIndex].yAxis === 2 ? yAxis2 : yAxis1; - evt.value = evt.point.x; - evt.series = { - value: evt.point.y, - color: evt.point.color - }; - tooltip - .duration(100) - .valueFormatter(function(d, i) { - return yaxis.tickFormat()(d, i); - }) - .data(evt) - .position(evt.pos) - .hidden(false); - } - - function mouseover_stack(evt) { - var yaxis = data[evt.seriesIndex].yAxis === 2 ? yAxis2 : yAxis1; - evt.point['x'] = stack1.x()(evt.point); - evt.point['y'] = stack1.y()(evt.point); - tooltip - .duration(100) - .valueFormatter(function(d, i) { - return yaxis.tickFormat()(d, i); - }) - .data(evt) - .position(evt.pos) - .hidden(false); - } - - function mouseover_bar(evt) { - var yaxis = data[evt.data.series].yAxis === 2 ? yAxis2 : yAxis1; - - evt.value = bars1.x()(evt.data); - evt['series'] = { - value: bars1.y()(evt.data), - color: evt.color - }; - tooltip - .duration(0) - .valueFormatter(function(d, i) { - return yaxis.tickFormat()(d, i); - }) - .data(evt) - .hidden(false); - } - - lines1.dispatch.on('elementMouseover.tooltip', mouseover_line); - lines2.dispatch.on('elementMouseover.tooltip', mouseover_line); - lines1.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true) - }); - lines2.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true) - }); - - stack1.dispatch.on('elementMouseover.tooltip', mouseover_stack); - stack2.dispatch.on('elementMouseover.tooltip', mouseover_stack); - stack1.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true) - }); - stack2.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true) - }); - - bars1.dispatch.on('elementMouseover.tooltip', mouseover_bar); - bars2.dispatch.on('elementMouseover.tooltip', mouseover_bar); - - bars1.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true); - }); - bars2.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true); - }); - bars1.dispatch.on('elementMousemove.tooltip', function(evt) { - tooltip.position({top: d3.event.pageY, left: d3.event.pageX})(); - }); - bars2.dispatch.on('elementMousemove.tooltip', function(evt) { - tooltip.position({top: d3.event.pageY, left: d3.event.pageX})(); - }); - - }); - - return chart; - } - - //============================================================ - // Global getters and setters - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.lines1 = lines1; - chart.lines2 = lines2; - chart.bars1 = bars1; - chart.bars2 = bars2; - chart.stack1 = stack1; - chart.stack2 = stack2; - chart.xAxis = xAxis; - chart.yAxis1 = yAxis1; - chart.yAxis2 = yAxis2; - chart.tooltip = tooltip; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - showLegend: {get: function(){return showLegend;}, set: function(_){showLegend=_;}}, - yDomain1: {get: function(){return yDomain1;}, set: function(_){yDomain1=_;}}, - yDomain2: {get: function(){return yDomain2;}, set: function(_){yDomain2=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - interpolate: {get: function(){return interpolate;}, set: function(_){interpolate=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }}, - x: {get: function(){return getX;}, set: function(_){ - getX = _; - lines1.x(_); - lines2.x(_); - bars1.x(_); - bars2.x(_); - stack1.x(_); - stack2.x(_); - }}, - y: {get: function(){return getY;}, set: function(_){ - getY = _; - lines1.y(_); - lines2.y(_); - stack1.y(_); - stack2.y(_); - bars1.y(_); - bars2.y(_); - }}, - useVoronoi: {get: function(){return useVoronoi;}, set: function(_){ - useVoronoi=_; - lines1.useVoronoi(_); - lines2.useVoronoi(_); - stack1.useVoronoi(_); - stack2.useVoronoi(_); - }} - }); - - nv.utils.initOptions(chart); - - return chart; -}; - - -nv.models.ohlcBar = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = null - , height = null - , id = Math.floor(Math.random() * 10000) //Create semi-unique ID in case user doesn't select one - , container = null - , x = d3.scale.linear() - , y = d3.scale.linear() - , getX = function(d) { return d.x } - , getY = function(d) { return d.y } - , getOpen = function(d) { return d.open } - , getClose = function(d) { return d.close } - , getHigh = function(d) { return d.high } - , getLow = function(d) { return d.low } - , forceX = [] - , forceY = [] - , padData = false // If true, adds half a data points width to front and back, for lining up a line chart with a bar chart - , clipEdge = true - , color = nv.utils.defaultColor() - , interactive = false - , xDomain - , yDomain - , xRange - , yRange - , dispatch = d3.dispatch('tooltipShow', 'tooltipHide', 'stateChange', 'changeState', 'renderEnd', 'chartClick', 'elementClick', 'elementDblClick', 'elementMouseover', 'elementMouseout', 'elementMousemove') - ; - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - function chart(selection) { - selection.each(function(data) { - container = d3.select(this); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - nv.utils.initSVG(container); - - // ohlc bar width. - var w = (availableWidth / data[0].values.length) * .9; - - // Setup Scales - x.domain(xDomain || d3.extent(data[0].values.map(getX).concat(forceX) )); - - if (padData) - x.range(xRange || [availableWidth * .5 / data[0].values.length, availableWidth * (data[0].values.length - .5) / data[0].values.length ]); - else - x.range(xRange || [5 + w/2, availableWidth - w/2 - 5]); - - y.domain(yDomain || [ - d3.min(data[0].values.map(getLow).concat(forceY)), - d3.max(data[0].values.map(getHigh).concat(forceY)) - ] - ).range(yRange || [availableHeight, 0]); - - // If scale's domain don't have a range, slightly adjust to make one... so a chart can show a single data point - if (x.domain()[0] === x.domain()[1]) - x.domain()[0] ? - x.domain([x.domain()[0] - x.domain()[0] * 0.01, x.domain()[1] + x.domain()[1] * 0.01]) - : x.domain([-1,1]); - - if (y.domain()[0] === y.domain()[1]) - y.domain()[0] ? - y.domain([y.domain()[0] + y.domain()[0] * 0.01, y.domain()[1] - y.domain()[1] * 0.01]) - : y.domain([-1,1]); - - // Setup containers and skeleton of chart - var wrap = d3.select(this).selectAll('g.nv-wrap.nv-ohlcBar').data([data[0].values]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-ohlcBar'); - var defsEnter = wrapEnter.append('defs'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-ticks'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - container - .on('click', function(d,i) { - dispatch.chartClick({ - data: d, - index: i, - pos: d3.event, - id: id - }); - }); - - defsEnter.append('clipPath') - .attr('id', 'nv-chart-clip-path-' + id) - .append('rect'); - - wrap.select('#nv-chart-clip-path-' + id + ' rect') - .attr('width', availableWidth) - .attr('height', availableHeight); - - g .attr('clip-path', clipEdge ? 'url(#nv-chart-clip-path-' + id + ')' : ''); - - var ticks = wrap.select('.nv-ticks').selectAll('.nv-tick') - .data(function(d) { return d }); - ticks.exit().remove(); - - ticks.enter().append('path') - .attr('class', function(d,i,j) { return (getOpen(d,i) > getClose(d,i) ? 'nv-tick negative' : 'nv-tick positive') + ' nv-tick-' + j + '-' + i }) - .attr('d', function(d,i) { - return 'm0,0l0,' - + (y(getOpen(d,i)) - - y(getHigh(d,i))) - + 'l' - + (-w/2) - + ',0l' - + (w/2) - + ',0l0,' - + (y(getLow(d,i)) - y(getOpen(d,i))) - + 'l0,' - + (y(getClose(d,i)) - - y(getLow(d,i))) - + 'l' - + (w/2) - + ',0l' - + (-w/2) - + ',0z'; - }) - .attr('transform', function(d,i) { return 'translate(' + x(getX(d,i)) + ',' + y(getHigh(d,i)) + ')'; }) - .attr('fill', function(d,i) { return color[0]; }) - .attr('stroke', function(d,i) { return color[0]; }) - .attr('x', 0 ) - .attr('y', function(d,i) { return y(Math.max(0, getY(d,i))) }) - .attr('height', function(d,i) { return Math.abs(y(getY(d,i)) - y(0)) }); - - // the bar colors are controlled by CSS currently - ticks.attr('class', function(d,i,j) { - return (getOpen(d,i) > getClose(d,i) ? 'nv-tick negative' : 'nv-tick positive') + ' nv-tick-' + j + '-' + i; - }); - - d3.transition(ticks) - .attr('transform', function(d,i) { return 'translate(' + x(getX(d,i)) + ',' + y(getHigh(d,i)) + ')'; }) - .attr('d', function(d,i) { - var w = (availableWidth / data[0].values.length) * .9; - return 'm0,0l0,' - + (y(getOpen(d,i)) - - y(getHigh(d,i))) - + 'l' - + (-w/2) - + ',0l' - + (w/2) - + ',0l0,' - + (y(getLow(d,i)) - - y(getOpen(d,i))) - + 'l0,' - + (y(getClose(d,i)) - - y(getLow(d,i))) - + 'l' - + (w/2) - + ',0l' - + (-w/2) - + ',0z'; - }); - }); - - return chart; - } - - - //Create methods to allow outside functions to highlight a specific bar. - chart.highlightPoint = function(pointIndex, isHoverOver) { - chart.clearHighlights(); - container.select(".nv-ohlcBar .nv-tick-0-" + pointIndex) - .classed("hover", isHoverOver) - ; - }; - - chart.clearHighlights = function() { - container.select(".nv-ohlcBar .nv-tick.hover") - .classed("hover", false) - ; - }; - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - xScale: {get: function(){return x;}, set: function(_){x=_;}}, - yScale: {get: function(){return y;}, set: function(_){y=_;}}, - xDomain: {get: function(){return xDomain;}, set: function(_){xDomain=_;}}, - yDomain: {get: function(){return yDomain;}, set: function(_){yDomain=_;}}, - xRange: {get: function(){return xRange;}, set: function(_){xRange=_;}}, - yRange: {get: function(){return yRange;}, set: function(_){yRange=_;}}, - forceX: {get: function(){return forceX;}, set: function(_){forceX=_;}}, - forceY: {get: function(){return forceY;}, set: function(_){forceY=_;}}, - padData: {get: function(){return padData;}, set: function(_){padData=_;}}, - clipEdge: {get: function(){return clipEdge;}, set: function(_){clipEdge=_;}}, - id: {get: function(){return id;}, set: function(_){id=_;}}, - interactive: {get: function(){return interactive;}, set: function(_){interactive=_;}}, - - x: {get: function(){return getX;}, set: function(_){getX=_;}}, - y: {get: function(){return getY;}, set: function(_){getY=_;}}, - open: {get: function(){return getOpen();}, set: function(_){getOpen=_;}}, - close: {get: function(){return getClose();}, set: function(_){getClose=_;}}, - high: {get: function(){return getHigh;}, set: function(_){getHigh=_;}}, - low: {get: function(){return getLow;}, set: function(_){getLow=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top != undefined ? _.top : margin.top; - margin.right = _.right != undefined ? _.right : margin.right; - margin.bottom = _.bottom != undefined ? _.bottom : margin.bottom; - margin.left = _.left != undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }} - }); - - nv.utils.initOptions(chart); - return chart; -}; -// Code adapted from Jason Davies' "Parallel Coordinates" -// http://bl.ocks.org/jasondavies/1341281 -nv.models.parallelCoordinates = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 30, right: 0, bottom: 10, left: 0} - , width = null - , height = null - , x = d3.scale.ordinal() - , y = {} - , dimensionNames = [] - , dimensionFormats = [] - , color = nv.utils.defaultColor() - , filters = [] - , active = [] - , dragging = [] - , lineTension = 1 - , dispatch = d3.dispatch('brush', 'elementMouseover', 'elementMouseout') - ; - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - function chart(selection) { - selection.each(function(data) { - var container = d3.select(this); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - nv.utils.initSVG(container); - - active = data; //set all active before first brush call - - // Setup Scales - x.rangePoints([0, availableWidth], 1).domain(dimensionNames); - - //Set as true if all values on an axis are missing. - var onlyNanValues = {}; - // Extract the list of dimensions and create a scale for each. - dimensionNames.forEach(function(d) { - var extent = d3.extent(data, function(p) { return +p[d]; }); - onlyNanValues[d] = false; - //If there is no values to display on an axis, set the extent to 0 - if (extent[0] === undefined) { - onlyNanValues[d] = true; - extent[0] = 0; - extent[1] = 0; - } - //Scale axis if there is only one value - if (extent[0] === extent[1]) { - extent[0] = extent[0] - 1; - extent[1] = extent[1] + 1; - } - //Use 90% of (availableHeight - 12) for the axis range, 12 reprensenting the space necessary to display "undefined values" text. - //The remaining 10% are used to display the missingValue line. - y[d] = d3.scale.linear() - .domain(extent) - .range([(availableHeight - 12) * 0.9, 0]); - - y[d].brush = d3.svg.brush().y(y[d]).on('brush', brush); - - return d != 'name'; - }); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-parallelCoordinates').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-parallelCoordinates'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-parallelCoordinates background'); - gEnter.append('g').attr('class', 'nv-parallelCoordinates foreground'); - gEnter.append('g').attr('class', 'nv-parallelCoordinates missingValuesline'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - var line = d3.svg.line().interpolate('cardinal').tension(lineTension), - axis = d3.svg.axis().orient('left'), - axisDrag = d3.behavior.drag() - .on('dragstart', dragStart) - .on('drag', dragMove) - .on('dragend', dragEnd); - - //Add missing value line at the bottom of the chart - var missingValuesline, missingValueslineText; - var step = x.range()[1] - x.range()[0]; - var axisWithMissingValues = []; - var lineData = [0 + step / 2, availableHeight - 12, availableWidth - step / 2, availableHeight - 12]; - missingValuesline = wrap.select('.missingValuesline').selectAll('line').data([lineData]); - missingValuesline.enter().append('line'); - missingValuesline.exit().remove(); - missingValuesline.attr("x1", function(d) { return d[0]; }) - .attr("y1", function(d) { return d[1]; }) - .attr("x2", function(d) { return d[2]; }) - .attr("y2", function(d) { return d[3]; }); - - //Add the text "undefined values" under the missing value line - missingValueslineText = wrap.select('.missingValuesline').selectAll('text').data(["undefined values"]); - missingValueslineText.append('text').data(["undefined values"]); - missingValueslineText.enter().append('text'); - missingValueslineText.exit().remove(); - missingValueslineText.attr("y", availableHeight) - //To have the text right align with the missingValues line, substract 92 representing the text size. - .attr("x", availableWidth - 92 - step / 2) - .text(function(d) { return d; }); - - // Add grey background lines for context. - var background = wrap.select('.background').selectAll('path').data(data); - background.enter().append('path'); - background.exit().remove(); - background.attr('d', path); - - // Add blue foreground lines for focus. - var foreground = wrap.select('.foreground').selectAll('path').data(data); - foreground.enter().append('path') - foreground.exit().remove(); - foreground.attr('d', path).attr('stroke', color); - foreground.on("mouseover", function (d, i) { - d3.select(this).classed('hover', true); - dispatch.elementMouseover({ - label: d.name, - data: d.data, - index: i, - pos: [d3.mouse(this.parentNode)[0], d3.mouse(this.parentNode)[1]] - }); - - }); - foreground.on("mouseout", function (d, i) { - d3.select(this).classed('hover', false); - dispatch.elementMouseout({ - label: d.name, - data: d.data, - index: i - }); - }); - - // Add a group element for each dimension. - var dimensions = g.selectAll('.dimension').data(dimensionNames); - var dimensionsEnter = dimensions.enter().append('g').attr('class', 'nv-parallelCoordinates dimension'); - dimensionsEnter.append('g').attr('class', 'nv-parallelCoordinates nv-axis'); - dimensionsEnter.append('g').attr('class', 'nv-parallelCoordinates-brush'); - dimensionsEnter.append('text').attr('class', 'nv-parallelCoordinates nv-label'); - - dimensions.attr('transform', function(d) { return 'translate(' + x(d) + ',0)'; }); - dimensions.exit().remove(); - - // Add an axis and title. - dimensions.select('.nv-label') - .style("cursor", "move") - .attr('dy', '-1em') - .attr('text-anchor', 'middle') - .text(String) - .on("mouseover", function(d, i) { - dispatch.elementMouseover({ - dim: d, - pos: [d3.mouse(this.parentNode.parentNode)[0], d3.mouse(this.parentNode.parentNode)[1]] - }); - }) - .on("mouseout", function(d, i) { - dispatch.elementMouseout({ - dim: d - }); - }) - .call(axisDrag); - - dimensions.select('.nv-axis') - .each(function (d, i) { - d3.select(this).call(axis.scale(y[d]).tickFormat(d3.format(dimensionFormats[i]))); - }); - - dimensions.select('.nv-parallelCoordinates-brush') - .each(function (d) { - d3.select(this).call(y[d].brush); - }) - .selectAll('rect') - .attr('x', -8) - .attr('width', 16); - - // Returns the path for a given data point. - function path(d) { - return line(dimensionNames.map(function (p) { - //If value if missing, put the value on the missing value line - if(isNaN(d[p]) || isNaN(parseFloat(d[p]))) { - var domain = y[p].domain(); - var range = y[p].range(); - var min = domain[0] - (domain[1] - domain[0]) / 9; - - //If it's not already the case, allow brush to select undefined values - if(axisWithMissingValues.indexOf(p) < 0) { - - var newscale = d3.scale.linear().domain([min, domain[1]]).range([availableHeight - 12, range[1]]); - y[p].brush.y(newscale); - axisWithMissingValues.push(p); - } - - return [x(p), y[p](min)]; - } - - //If parallelCoordinate contain missing values show the missing values line otherwise, hide it. - if(axisWithMissingValues.length > 0) { - missingValuesline.style("display", "inline"); - missingValueslineText.style("display", "inline"); - } else { - missingValuesline.style("display", "none"); - missingValueslineText.style("display", "none"); - } - - return [x(p), y[p](d[p])]; - })); - } - - // Handles a brush event, toggling the display of foreground lines. - function brush() { - var actives = dimensionNames.filter(function(p) { return !y[p].brush.empty(); }), - extents = actives.map(function(p) { return y[p].brush.extent(); }); - - filters = []; //erase current filters - actives.forEach(function(d,i) { - filters[i] = { - dimension: d, - extent: extents[i] - } - }); - - active = []; //erase current active list - foreground.style('display', function(d) { - var isActive = actives.every(function(p, i) { - if(isNaN(d[p]) && extents[i][0] == y[p].brush.y().domain()[0]) return true; - return extents[i][0] <= d[p] && d[p] <= extents[i][1]; - }); - if (isActive) active.push(d); - return isActive ? null : 'none'; - }); - - dispatch.brush({ - filters: filters, - active: active - }); - } - - function dragStart(d, i) { - dragging[d] = this.parentNode.__origin__ = x(d); - background.attr("visibility", "hidden"); - - } - - function dragMove(d, i) { - dragging[d] = Math.min(availableWidth, Math.max(0, this.parentNode.__origin__ += d3.event.x)); - foreground.attr("d", path); - dimensionNames.sort(function (a, b) { return position(a) - position(b); }); - x.domain(dimensionNames); - dimensions.attr("transform", function(d) { return "translate(" + position(d) + ")"; }); - } - - function dragEnd(d, i) { - delete this.parentNode.__origin__; - delete dragging[d]; - d3.select(this.parentNode).attr("transform", "translate(" + x(d) + ")"); - foreground - .attr("d", path); - background - .attr("d", path) - .attr("visibility", null); - - } - - function position(d) { - var v = dragging[d]; - return v == null ? x(d) : v; - } - }); - - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width= _;}}, - height: {get: function(){return height;}, set: function(_){height= _;}}, - dimensionNames: {get: function() { return dimensionNames;}, set: function(_){dimensionNames= _;}}, - dimensionFormats : {get: function(){return dimensionFormats;}, set: function (_){dimensionFormats=_;}}, - lineTension: {get: function(){return lineTension;}, set: function(_){lineTension = _;}}, - - // deprecated options - dimensions: {get: function (){return dimensionNames;}, set: function(_){ - // deprecated after 1.8.1 - nv.deprecated('dimensions', 'use dimensionNames instead'); - dimensionNames = _; - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }} - }); - - nv.utils.initOptions(chart); - return chart; -}; -nv.models.pie = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = 500 - , height = 500 - , getX = function(d) { return d.x } - , getY = function(d) { return d.y } - , id = Math.floor(Math.random() * 10000) //Create semi-unique ID in case user doesn't select one - , container = null - , color = nv.utils.defaultColor() - , valueFormat = d3.format(',.2f') - , showLabels = true - , labelsOutside = false - , labelType = "key" - , labelThreshold = .02 //if slice percentage is under this, don't show label - , donut = false - , title = false - , growOnHover = true - , titleOffset = 0 - , labelSunbeamLayout = false - , startAngle = false - , padAngle = false - , endAngle = false - , cornerRadius = 0 - , donutRatio = 0.5 - , arcsRadius = [] - , dispatch = d3.dispatch('chartClick', 'elementClick', 'elementDblClick', 'elementMouseover', 'elementMouseout', 'elementMousemove', 'renderEnd') - ; - - var arcs = []; - var arcsOver = []; - - //============================================================ - // chart function - //------------------------------------------------------------ - - var renderWatch = nv.utils.renderWatch(dispatch); - - function chart(selection) { - renderWatch.reset(); - selection.each(function(data) { - var availableWidth = width - margin.left - margin.right - , availableHeight = height - margin.top - margin.bottom - , radius = Math.min(availableWidth, availableHeight) / 2 - , arcsRadiusOuter = [] - , arcsRadiusInner = [] - ; - - container = d3.select(this) - if (arcsRadius.length === 0) { - var outer = radius - radius / 5; - var inner = donutRatio * radius; - for (var i = 0; i < data[0].length; i++) { - arcsRadiusOuter.push(outer); - arcsRadiusInner.push(inner); - } - } else { - arcsRadiusOuter = arcsRadius.map(function (d) { return (d.outer - d.outer / 5) * radius; }); - arcsRadiusInner = arcsRadius.map(function (d) { return (d.inner - d.inner / 5) * radius; }); - donutRatio = d3.min(arcsRadius.map(function (d) { return (d.inner - d.inner / 5); })); - } - nv.utils.initSVG(container); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('.nv-wrap.nv-pie').data(data); - var wrapEnter = wrap.enter().append('g').attr('class','nvd3 nv-wrap nv-pie nv-chart-' + id); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - var g_pie = gEnter.append('g').attr('class', 'nv-pie'); - gEnter.append('g').attr('class', 'nv-pieLabels'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - g.select('.nv-pie').attr('transform', 'translate(' + availableWidth / 2 + ',' + availableHeight / 2 + ')'); - g.select('.nv-pieLabels').attr('transform', 'translate(' + availableWidth / 2 + ',' + availableHeight / 2 + ')'); - - // - container.on('click', function(d,i) { - dispatch.chartClick({ - data: d, - index: i, - pos: d3.event, - id: id - }); - }); - - arcs = []; - arcsOver = []; - for (var i = 0; i < data[0].length; i++) { - - var arc = d3.svg.arc().outerRadius(arcsRadiusOuter[i]); - var arcOver = d3.svg.arc().outerRadius(arcsRadiusOuter[i] + 5); - - if (startAngle !== false) { - arc.startAngle(startAngle); - arcOver.startAngle(startAngle); - } - if (endAngle !== false) { - arc.endAngle(endAngle); - arcOver.endAngle(endAngle); - } - if (donut) { - arc.innerRadius(arcsRadiusInner[i]); - arcOver.innerRadius(arcsRadiusInner[i]); - } - - if (arc.cornerRadius && cornerRadius) { - arc.cornerRadius(cornerRadius); - arcOver.cornerRadius(cornerRadius); - } - - arcs.push(arc); - arcsOver.push(arcOver); - } - - // Setup the Pie chart and choose the data element - var pie = d3.layout.pie() - .sort(null) - .value(function(d) { return d.disabled ? 0 : getY(d) }); - - // padAngle added in d3 3.5 - if (pie.padAngle && padAngle) { - pie.padAngle(padAngle); - } - - // if title is specified and donut, put it in the middle - if (donut && title) { - g_pie.append("text").attr('class', 'nv-pie-title'); - - wrap.select('.nv-pie-title') - .style("text-anchor", "middle") - .text(function (d) { - return title; - }) - .style("font-size", (Math.min(availableWidth, availableHeight)) * donutRatio * 2 / (title.length + 2) + "px") - .attr("dy", "0.35em") // trick to vertically center text - .attr('transform', function(d, i) { - return 'translate(0, '+ titleOffset + ')'; - }); - } - - var slices = wrap.select('.nv-pie').selectAll('.nv-slice').data(pie); - var pieLabels = wrap.select('.nv-pieLabels').selectAll('.nv-label').data(pie); - - slices.exit().remove(); - pieLabels.exit().remove(); - - var ae = slices.enter().append('g'); - ae.attr('class', 'nv-slice'); - ae.on('mouseover', function(d, i) { - d3.select(this).classed('hover', true); - if (growOnHover) { - d3.select(this).select("path").transition() - .duration(70) - .attr("d", arcsOver[i]); - } - dispatch.elementMouseover({ - data: d.data, - index: i, - color: d3.select(this).style("fill") - }); - }); - ae.on('mouseout', function(d, i) { - d3.select(this).classed('hover', false); - if (growOnHover) { - d3.select(this).select("path").transition() - .duration(50) - .attr("d", arcs[i]); - } - dispatch.elementMouseout({data: d.data, index: i}); - }); - ae.on('mousemove', function(d, i) { - dispatch.elementMousemove({data: d.data, index: i}); - }); - ae.on('click', function(d, i) { - dispatch.elementClick({ - data: d.data, - index: i, - color: d3.select(this).style("fill") - }); - }); - ae.on('dblclick', function(d, i) { - dispatch.elementDblClick({ - data: d.data, - index: i, - color: d3.select(this).style("fill") - }); - }); - - slices.attr('fill', function(d,i) { return color(d.data, i); }); - slices.attr('stroke', function(d,i) { return color(d.data, i); }); - - var paths = ae.append('path').each(function(d) { - this._current = d; - }); - - slices.select('path') - .transition() - .attr('d', function (d, i) { return arcs[i](d); }) - .attrTween('d', arcTween); - - if (showLabels) { - // This does the normal label - var labelsArc = []; - for (var i = 0; i < data[0].length; i++) { - labelsArc.push(arcs[i]); - - if (labelsOutside) { - if (donut) { - labelsArc[i] = d3.svg.arc().outerRadius(arcs[i].outerRadius()); - if (startAngle !== false) labelsArc[i].startAngle(startAngle); - if (endAngle !== false) labelsArc[i].endAngle(endAngle); - } - } else if (!donut) { - labelsArc[i].innerRadius(0); - } - } - - pieLabels.enter().append("g").classed("nv-label",true).each(function(d,i) { - var group = d3.select(this); - - group.attr('transform', function (d, i) { - if (labelSunbeamLayout) { - d.outerRadius = arcsRadiusOuter[i] + 10; // Set Outer Coordinate - d.innerRadius = arcsRadiusOuter[i] + 15; // Set Inner Coordinate - var rotateAngle = (d.startAngle + d.endAngle) / 2 * (180 / Math.PI); - if ((d.startAngle + d.endAngle) / 2 < Math.PI) { - rotateAngle -= 90; - } else { - rotateAngle += 90; - } - return 'translate(' + labelsArc[i].centroid(d) + ') rotate(' + rotateAngle + ')'; - } else { - d.outerRadius = radius + 10; // Set Outer Coordinate - d.innerRadius = radius + 15; // Set Inner Coordinate - return 'translate(' + labelsArc[i].centroid(d) + ')' - } - }); - - group.append('rect') - .style('stroke', '#fff') - .style('fill', '#fff') - .attr("rx", 3) - .attr("ry", 3); - - group.append('text') - .style('text-anchor', labelSunbeamLayout ? ((d.startAngle + d.endAngle) / 2 < Math.PI ? 'start' : 'end') : 'middle') //center the text on it's origin or begin/end if orthogonal aligned - .style('fill', '#000') - }); - - var labelLocationHash = {}; - var avgHeight = 14; - var avgWidth = 140; - var createHashKey = function(coordinates) { - return Math.floor(coordinates[0]/avgWidth) * avgWidth + ',' + Math.floor(coordinates[1]/avgHeight) * avgHeight; - }; - - pieLabels.watchTransition(renderWatch, 'pie labels').attr('transform', function (d, i) { - if (labelSunbeamLayout) { - d.outerRadius = arcsRadiusOuter[i] + 10; // Set Outer Coordinate - d.innerRadius = arcsRadiusOuter[i] + 15; // Set Inner Coordinate - var rotateAngle = (d.startAngle + d.endAngle) / 2 * (180 / Math.PI); - if ((d.startAngle + d.endAngle) / 2 < Math.PI) { - rotateAngle -= 90; - } else { - rotateAngle += 90; - } - return 'translate(' + labelsArc[i].centroid(d) + ') rotate(' + rotateAngle + ')'; - } else { - d.outerRadius = radius + 10; // Set Outer Coordinate - d.innerRadius = radius + 15; // Set Inner Coordinate - - /* - Overlapping pie labels are not good. What this attempts to do is, prevent overlapping. - Each label location is hashed, and if a hash collision occurs, we assume an overlap. - Adjust the label's y-position to remove the overlap. - */ - var center = labelsArc[i].centroid(d); - if (d.value) { - var hashKey = createHashKey(center); - if (labelLocationHash[hashKey]) { - center[1] -= avgHeight; - } - labelLocationHash[createHashKey(center)] = true; - } - return 'translate(' + center + ')' - } - }); - - pieLabels.select(".nv-label text") - .style('text-anchor', function(d,i) { - //center the text on it's origin or begin/end if orthogonal aligned - return labelSunbeamLayout ? ((d.startAngle + d.endAngle) / 2 < Math.PI ? 'start' : 'end') : 'middle'; - }) - .text(function(d, i) { - var percent = (d.endAngle - d.startAngle) / (2 * Math.PI); - var label = ''; - if (!d.value || percent < labelThreshold) return ''; - - if(typeof labelType === 'function') { - label = labelType(d, i, { - 'key': getX(d.data), - 'value': getY(d.data), - 'percent': valueFormat(percent) - }); - } else { - switch (labelType) { - case 'key': - label = getX(d.data); - break; - case 'value': - label = valueFormat(getY(d.data)); - break; - case 'percent': - label = d3.format('%')(percent); - break; - } - } - return label; - }) - ; - } - - - // Computes the angle of an arc, converting from radians to degrees. - function angle(d) { - var a = (d.startAngle + d.endAngle) * 90 / Math.PI - 90; - return a > 90 ? a - 180 : a; - } - - function arcTween(a, idx) { - a.endAngle = isNaN(a.endAngle) ? 0 : a.endAngle; - a.startAngle = isNaN(a.startAngle) ? 0 : a.startAngle; - if (!donut) a.innerRadius = 0; - var i = d3.interpolate(this._current, a); - this._current = i(0); - return function (t) { - return arcs[idx](i(t)); - }; - } - }); - - renderWatch.renderEnd('pie immediate'); - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - arcsRadius: { get: function () { return arcsRadius; }, set: function (_) { arcsRadius = _; } }, - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - showLabels: {get: function(){return showLabels;}, set: function(_){showLabels=_;}}, - title: {get: function(){return title;}, set: function(_){title=_;}}, - titleOffset: {get: function(){return titleOffset;}, set: function(_){titleOffset=_;}}, - labelThreshold: {get: function(){return labelThreshold;}, set: function(_){labelThreshold=_;}}, - valueFormat: {get: function(){return valueFormat;}, set: function(_){valueFormat=_;}}, - x: {get: function(){return getX;}, set: function(_){getX=_;}}, - id: {get: function(){return id;}, set: function(_){id=_;}}, - endAngle: {get: function(){return endAngle;}, set: function(_){endAngle=_;}}, - startAngle: {get: function(){return startAngle;}, set: function(_){startAngle=_;}}, - padAngle: {get: function(){return padAngle;}, set: function(_){padAngle=_;}}, - cornerRadius: {get: function(){return cornerRadius;}, set: function(_){cornerRadius=_;}}, - donutRatio: {get: function(){return donutRatio;}, set: function(_){donutRatio=_;}}, - labelsOutside: {get: function(){return labelsOutside;}, set: function(_){labelsOutside=_;}}, - labelSunbeamLayout: {get: function(){return labelSunbeamLayout;}, set: function(_){labelSunbeamLayout=_;}}, - donut: {get: function(){return donut;}, set: function(_){donut=_;}}, - growOnHover: {get: function(){return growOnHover;}, set: function(_){growOnHover=_;}}, - - // depreciated after 1.7.1 - pieLabelsOutside: {get: function(){return labelsOutside;}, set: function(_){ - labelsOutside=_; - nv.deprecated('pieLabelsOutside', 'use labelsOutside instead'); - }}, - // depreciated after 1.7.1 - donutLabelsOutside: {get: function(){return labelsOutside;}, set: function(_){ - labelsOutside=_; - nv.deprecated('donutLabelsOutside', 'use labelsOutside instead'); - }}, - // deprecated after 1.7.1 - labelFormat: {get: function(){ return valueFormat;}, set: function(_) { - valueFormat=_; - nv.deprecated('labelFormat','use valueFormat instead'); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = typeof _.top != 'undefined' ? _.top : margin.top; - margin.right = typeof _.right != 'undefined' ? _.right : margin.right; - margin.bottom = typeof _.bottom != 'undefined' ? _.bottom : margin.bottom; - margin.left = typeof _.left != 'undefined' ? _.left : margin.left; - }}, - y: {get: function(){return getY;}, set: function(_){ - getY=d3.functor(_); - }}, - color: {get: function(){return color;}, set: function(_){ - color=nv.utils.getColor(_); - }}, - labelType: {get: function(){return labelType;}, set: function(_){ - labelType= _ || 'key'; - }} - }); - - nv.utils.initOptions(chart); - return chart; -}; -nv.models.pieChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var pie = nv.models.pie(); - var legend = nv.models.legend(); - var tooltip = nv.models.tooltip(); - - var margin = {top: 30, right: 20, bottom: 20, left: 20} - , width = null - , height = null - , showLegend = true - , legendPosition = "top" - , color = nv.utils.defaultColor() - , state = nv.utils.state() - , defaultState = null - , noData = null - , duration = 250 - , dispatch = d3.dispatch('tooltipShow', 'tooltipHide', 'stateChange', 'changeState','renderEnd') - ; - - tooltip - .headerEnabled(false) - .duration(0) - .valueFormatter(function(d, i) { - return pie.valueFormat()(d, i); - }); - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var renderWatch = nv.utils.renderWatch(dispatch); - - var stateGetter = function(data) { - return function(){ - return { - active: data.map(function(d) { return !d.disabled }) - }; - } - }; - - var stateSetter = function(data) { - return function(state) { - if (state.active !== undefined) { - data.forEach(function (series, i) { - series.disabled = !state.active[i]; - }); - } - } - }; - - //============================================================ - // Chart function - //------------------------------------------------------------ - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(pie); - - selection.each(function(data) { - var container = d3.select(this); - nv.utils.initSVG(container); - - var that = this; - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - chart.update = function() { container.transition().call(chart); }; - chart.container = this; - - state.setter(stateSetter(data), chart.update) - .getter(stateGetter(data)) - .update(); - - //set state.disabled - state.disabled = data.map(function(d) { return !!d.disabled }); - - if (!defaultState) { - var key; - defaultState = {}; - for (key in state) { - if (state[key] instanceof Array) - defaultState[key] = state[key].slice(0); - else - defaultState[key] = state[key]; - } - } - - // Display No Data message if there's nothing to show. - if (!data || !data.length) { - nv.utils.noData(chart, container); - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-pieChart').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-pieChart').append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-pieWrap'); - gEnter.append('g').attr('class', 'nv-legendWrap'); - - // Legend - if (showLegend) { - if (legendPosition === "top") { - legend.width( availableWidth ).key(pie.x()); - - wrap.select('.nv-legendWrap') - .datum(data) - .call(legend); - - if ( margin.top != legend.height()) { - margin.top = legend.height(); - availableHeight = nv.utils.availableHeight(height, container, margin); - } - - wrap.select('.nv-legendWrap') - .attr('transform', 'translate(0,' + (-margin.top) +')'); - } else if (legendPosition === "right") { - var legendWidth = nv.models.legend().width(); - if (availableWidth / 2 < legendWidth) { - legendWidth = (availableWidth / 2) - } - legend.height(availableHeight).key(pie.x()); - legend.width(legendWidth); - availableWidth -= legend.width(); - - wrap.select('.nv-legendWrap') - .datum(data) - .call(legend) - .attr('transform', 'translate(' + (availableWidth) +',0)'); - } - } - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - // Main Chart Component(s) - pie.width(availableWidth).height(availableHeight); - var pieWrap = g.select('.nv-pieWrap').datum([data]); - d3.transition(pieWrap).call(pie); - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - - legend.dispatch.on('stateChange', function(newState) { - for (var key in newState) { - state[key] = newState[key]; - } - dispatch.stateChange(state); - chart.update(); - }); - - // Update chart from a state object passed to event handler - dispatch.on('changeState', function(e) { - if (typeof e.disabled !== 'undefined') { - data.forEach(function(series,i) { - series.disabled = e.disabled[i]; - }); - state.disabled = e.disabled; - } - chart.update(); - }); - }); - - renderWatch.renderEnd('pieChart immediate'); - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - pie.dispatch.on('elementMouseover.tooltip', function(evt) { - evt['series'] = { - key: chart.x()(evt.data), - value: chart.y()(evt.data), - color: evt.color - }; - tooltip.data(evt).hidden(false); - }); - - pie.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true); - }); - - pie.dispatch.on('elementMousemove.tooltip', function(evt) { - tooltip.position({top: d3.event.pageY, left: d3.event.pageX})(); - }); - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.legend = legend; - chart.dispatch = dispatch; - chart.pie = pie; - chart.tooltip = tooltip; - chart.options = nv.utils.optionsFunc.bind(chart); - - // use Object get/set functionality to map between vars and chart functions - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - showLegend: {get: function(){return showLegend;}, set: function(_){showLegend=_;}}, - legendPosition: {get: function(){return legendPosition;}, set: function(_){legendPosition=_;}}, - defaultState: {get: function(){return defaultState;}, set: function(_){defaultState=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - color: {get: function(){return color;}, set: function(_){ - color = _; - legend.color(color); - pie.color(color); - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - }}, - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }} - }); - nv.utils.inheritOptions(chart, pie); - nv.utils.initOptions(chart); - return chart; -}; - -nv.models.scatter = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = null - , height = null - , color = nv.utils.defaultColor() // chooses color - , id = Math.floor(Math.random() * 100000) //Create semi-unique ID incase user doesn't select one - , container = null - , x = d3.scale.linear() - , y = d3.scale.linear() - , z = d3.scale.linear() //linear because d3.svg.shape.size is treated as area - , getX = function(d) { return d.x } // accessor to get the x value - , getY = function(d) { return d.y } // accessor to get the y value - , getSize = function(d) { return d.size || 1} // accessor to get the point size - , getShape = function(d) { return d.shape || 'circle' } // accessor to get point shape - , forceX = [] // List of numbers to Force into the X scale (ie. 0, or a max / min, etc.) - , forceY = [] // List of numbers to Force into the Y scale - , forceSize = [] // List of numbers to Force into the Size scale - , interactive = true // If true, plots a voronoi overlay for advanced point intersection - , pointActive = function(d) { return !d.notActive } // any points that return false will be filtered out - , padData = false // If true, adds half a data points width to front and back, for lining up a line chart with a bar chart - , padDataOuter = .1 //outerPadding to imitate ordinal scale outer padding - , clipEdge = false // if true, masks points within x and y scale - , clipVoronoi = true // if true, masks each point with a circle... can turn off to slightly increase performance - , showVoronoi = false // display the voronoi areas - , clipRadius = function() { return 25 } // function to get the radius for voronoi point clips - , xDomain = null // Override x domain (skips the calculation from data) - , yDomain = null // Override y domain - , xRange = null // Override x range - , yRange = null // Override y range - , sizeDomain = null // Override point size domain - , sizeRange = null - , singlePoint = false - , dispatch = d3.dispatch('elementClick', 'elementDblClick', 'elementMouseover', 'elementMouseout', 'renderEnd') - , useVoronoi = true - , duration = 250 - ; - - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var x0, y0, z0 // used to store previous scales - , timeoutID - , needsUpdate = false // Flag for when the points are visually updating, but the interactive layer is behind, to disable tooltips - , renderWatch = nv.utils.renderWatch(dispatch, duration) - , _sizeRange_def = [16, 256] - ; - - function chart(selection) { - renderWatch.reset(); - selection.each(function(data) { - container = d3.select(this); - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - nv.utils.initSVG(container); - - //add series index to each data point for reference - data.forEach(function(series, i) { - series.values.forEach(function(point) { - point.series = i; - }); - }); - - // Setup Scales - // remap and flatten the data for use in calculating the scales' domains - var seriesData = (xDomain && yDomain && sizeDomain) ? [] : // if we know xDomain and yDomain and sizeDomain, no need to calculate.... if Size is constant remember to set sizeDomain to speed up performance - d3.merge( - data.map(function(d) { - return d.values.map(function(d,i) { - return { x: getX(d,i), y: getY(d,i), size: getSize(d,i) } - }) - }) - ); - - x .domain(xDomain || d3.extent(seriesData.map(function(d) { return d.x; }).concat(forceX))) - - if (padData && data[0]) - x.range(xRange || [(availableWidth * padDataOuter + availableWidth) / (2 *data[0].values.length), availableWidth - availableWidth * (1 + padDataOuter) / (2 * data[0].values.length) ]); - //x.range([availableWidth * .5 / data[0].values.length, availableWidth * (data[0].values.length - .5) / data[0].values.length ]); - else - x.range(xRange || [0, availableWidth]); - - y .domain(yDomain || d3.extent(seriesData.map(function(d) { return d.y }).concat(forceY))) - .range(yRange || [availableHeight, 0]); - - z .domain(sizeDomain || d3.extent(seriesData.map(function(d) { return d.size }).concat(forceSize))) - .range(sizeRange || _sizeRange_def); - - // If scale's domain don't have a range, slightly adjust to make one... so a chart can show a single data point - singlePoint = x.domain()[0] === x.domain()[1] || y.domain()[0] === y.domain()[1]; - - if (x.domain()[0] === x.domain()[1]) - x.domain()[0] ? - x.domain([x.domain()[0] - x.domain()[0] * 0.01, x.domain()[1] + x.domain()[1] * 0.01]) - : x.domain([-1,1]); - - if (y.domain()[0] === y.domain()[1]) - y.domain()[0] ? - y.domain([y.domain()[0] - y.domain()[0] * 0.01, y.domain()[1] + y.domain()[1] * 0.01]) - : y.domain([-1,1]); - - if ( isNaN(x.domain()[0])) { - x.domain([-1,1]); - } - - if ( isNaN(y.domain()[0])) { - y.domain([-1,1]); - } - - x0 = x0 || x; - y0 = y0 || y; - z0 = z0 || z; - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-scatter').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-scatter nv-chart-' + id); - var defsEnter = wrapEnter.append('defs'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - wrap.classed('nv-single-point', singlePoint); - gEnter.append('g').attr('class', 'nv-groups'); - gEnter.append('g').attr('class', 'nv-point-paths'); - wrapEnter.append('g').attr('class', 'nv-point-clips'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - defsEnter.append('clipPath') - .attr('id', 'nv-edge-clip-' + id) - .append('rect'); - - wrap.select('#nv-edge-clip-' + id + ' rect') - .attr('width', availableWidth) - .attr('height', (availableHeight > 0) ? availableHeight : 0); - - g.attr('clip-path', clipEdge ? 'url(#nv-edge-clip-' + id + ')' : ''); - - function updateInteractiveLayer() { - // Always clear needs-update flag regardless of whether or not - // we will actually do anything (avoids needless invocations). - needsUpdate = false; - - if (!interactive) return false; - - // inject series and point index for reference into voronoi - if (useVoronoi === true) { - var vertices = d3.merge(data.map(function(group, groupIndex) { - return group.values - .map(function(point, pointIndex) { - // *Adding noise to make duplicates very unlikely - // *Injecting series and point index for reference - /* *Adding a 'jitter' to the points, because there's an issue in d3.geom.voronoi. - */ - var pX = getX(point,pointIndex); - var pY = getY(point,pointIndex); - - return [x(pX)+ Math.random() * 1e-4, - y(pY)+ Math.random() * 1e-4, - groupIndex, - pointIndex, point]; //temp hack to add noise until I think of a better way so there are no duplicates - }) - .filter(function(pointArray, pointIndex) { - return pointActive(pointArray[4], pointIndex); // Issue #237.. move filter to after map, so pointIndex is correct! - }) - }) - ); - - if (vertices.length == 0) return false; // No active points, we're done - if (vertices.length < 3) { - // Issue #283 - Adding 2 dummy points to the voronoi b/c voronoi requires min 3 points to work - vertices.push([x.range()[0] - 20, y.range()[0] - 20, null, null]); - vertices.push([x.range()[1] + 20, y.range()[1] + 20, null, null]); - vertices.push([x.range()[0] - 20, y.range()[0] + 20, null, null]); - vertices.push([x.range()[1] + 20, y.range()[1] - 20, null, null]); - } - - // keep voronoi sections from going more than 10 outside of graph - // to avoid overlap with other things like legend etc - var bounds = d3.geom.polygon([ - [-10,-10], - [-10,height + 10], - [width + 10,height + 10], - [width + 10,-10] - ]); - - var voronoi = d3.geom.voronoi(vertices).map(function(d, i) { - return { - 'data': bounds.clip(d), - 'series': vertices[i][2], - 'point': vertices[i][3] - } - }); - - // nuke all voronoi paths on reload and recreate them - wrap.select('.nv-point-paths').selectAll('path').remove(); - var pointPaths = wrap.select('.nv-point-paths').selectAll('path').data(voronoi); - var vPointPaths = pointPaths - .enter().append("svg:path") - .attr("d", function(d) { - if (!d || !d.data || d.data.length === 0) - return 'M 0 0'; - else - return "M" + d.data.join(",") + "Z"; - }) - .attr("id", function(d,i) { - return "nv-path-"+i; }) - .attr("clip-path", function(d,i) { return "url(#nv-clip-"+i+")"; }) - ; - - // good for debugging point hover issues - if (showVoronoi) { - vPointPaths.style("fill", d3.rgb(230, 230, 230)) - .style('fill-opacity', 0.4) - .style('stroke-opacity', 1) - .style("stroke", d3.rgb(200,200,200)); - } - - if (clipVoronoi) { - // voronoi sections are already set to clip, - // just create the circles with the IDs they expect - wrap.select('.nv-point-clips').selectAll('clipPath').remove(); - wrap.select('.nv-point-clips').selectAll("clipPath") - .data(vertices) - .enter().append("svg:clipPath") - .attr("id", function(d, i) { return "nv-clip-"+i;}) - .append("svg:circle") - .attr('cx', function(d) { return d[0]; }) - .attr('cy', function(d) { return d[1]; }) - .attr('r', clipRadius); - } - - var mouseEventCallback = function(d, mDispatch) { - if (needsUpdate) return 0; - var series = data[d.series]; - if (series === undefined) return; - var point = series.values[d.point]; - point['color'] = color(series, d.series); - - // standardize attributes for tooltip. - point['x'] = getX(point); - point['y'] = getY(point); - - // can't just get box of event node since it's actually a voronoi polygon - var box = container.node().getBoundingClientRect(); - var scrollTop = window.pageYOffset || document.documentElement.scrollTop; - var scrollLeft = window.pageXOffset || document.documentElement.scrollLeft; - - var pos = { - left: x(getX(point, d.point)) + box.left + scrollLeft + margin.left + 10, - top: y(getY(point, d.point)) + box.top + scrollTop + margin.top + 10 - }; - - mDispatch({ - point: point, - series: series, - pos: pos, - seriesIndex: d.series, - pointIndex: d.point - }); - }; - - pointPaths - .on('click', function(d) { - mouseEventCallback(d, dispatch.elementClick); - }) - .on('dblclick', function(d) { - mouseEventCallback(d, dispatch.elementDblClick); - }) - .on('mouseover', function(d) { - mouseEventCallback(d, dispatch.elementMouseover); - }) - .on('mouseout', function(d, i) { - mouseEventCallback(d, dispatch.elementMouseout); - }); - - } else { - // add event handlers to points instead voronoi paths - wrap.select('.nv-groups').selectAll('.nv-group') - .selectAll('.nv-point') - //.data(dataWithPoints) - //.style('pointer-events', 'auto') // recativate events, disabled by css - .on('click', function(d,i) { - //nv.log('test', d, i); - if (needsUpdate || !data[d.series]) return 0; //check if this is a dummy point - var series = data[d.series], - point = series.values[i]; - - dispatch.elementClick({ - point: point, - series: series, - pos: [x(getX(point, i)) + margin.left, y(getY(point, i)) + margin.top], - seriesIndex: d.series, - pointIndex: i - }); - }) - .on('dblclick', function(d,i) { - if (needsUpdate || !data[d.series]) return 0; //check if this is a dummy point - var series = data[d.series], - point = series.values[i]; - - dispatch.elementDblClick({ - point: point, - series: series, - pos: [x(getX(point, i)) + margin.left, y(getY(point, i)) + margin.top], - seriesIndex: d.series, - pointIndex: i - }); - }) - .on('mouseover', function(d,i) { - if (needsUpdate || !data[d.series]) return 0; //check if this is a dummy point - var series = data[d.series], - point = series.values[i]; - - dispatch.elementMouseover({ - point: point, - series: series, - pos: [x(getX(point, i)) + margin.left, y(getY(point, i)) + margin.top], - seriesIndex: d.series, - pointIndex: i, - color: color(d, i) - }); - }) - .on('mouseout', function(d,i) { - if (needsUpdate || !data[d.series]) return 0; //check if this is a dummy point - var series = data[d.series], - point = series.values[i]; - - dispatch.elementMouseout({ - point: point, - series: series, - seriesIndex: d.series, - pointIndex: i, - color: color(d, i) - }); - }); - } - } - - needsUpdate = true; - var groups = wrap.select('.nv-groups').selectAll('.nv-group') - .data(function(d) { return d }, function(d) { return d.key }); - groups.enter().append('g') - .style('stroke-opacity', 1e-6) - .style('fill-opacity', 1e-6); - groups.exit() - .remove(); - groups - .attr('class', function(d,i) { return 'nv-group nv-series-' + i }) - .classed('hover', function(d) { return d.hover }); - groups.watchTransition(renderWatch, 'scatter: groups') - .style('fill', function(d,i) { return color(d, i) }) - .style('stroke', function(d,i) { return color(d, i) }) - .style('stroke-opacity', 1) - .style('fill-opacity', .5); - - // create the points, maintaining their IDs from the original data set - var points = groups.selectAll('path.nv-point') - .data(function(d) { - return d.values.map( - function (point, pointIndex) { - return [point, pointIndex] - }).filter( - function(pointArray, pointIndex) { - return pointActive(pointArray[0], pointIndex) - }) - }); - points.enter().append('path') - .style('fill', function (d) { return d.color }) - .style('stroke', function (d) { return d.color }) - .attr('transform', function(d) { - return 'translate(' + x0(getX(d[0],d[1])) + ',' + y0(getY(d[0],d[1])) + ')' - }) - .attr('d', - nv.utils.symbol() - .type(function(d) { return getShape(d[0]); }) - .size(function(d) { return z(getSize(d[0],d[1])) }) - ); - points.exit().remove(); - groups.exit().selectAll('path.nv-point') - .watchTransition(renderWatch, 'scatter exit') - .attr('transform', function(d) { - return 'translate(' + x(getX(d[0],d[1])) + ',' + y(getY(d[0],d[1])) + ')' - }) - .remove(); - points.each(function(d) { - d3.select(this) - .classed('nv-point', true) - .classed('nv-point-' + d[1], true) - .classed('nv-noninteractive', !interactive) - .classed('hover',false) - ; - }); - points - .watchTransition(renderWatch, 'scatter points') - .attr('transform', function(d) { - //nv.log(d, getX(d[0],d[1]), x(getX(d[0],d[1]))); - return 'translate(' + x(getX(d[0],d[1])) + ',' + y(getY(d[0],d[1])) + ')' - }) - .attr('d', - nv.utils.symbol() - .type(function(d) { return getShape(d[0]); }) - .size(function(d) { return z(getSize(d[0],d[1])) }) - ); - - // Delay updating the invisible interactive layer for smoother animation - clearTimeout(timeoutID); // stop repeat calls to updateInteractiveLayer - timeoutID = setTimeout(updateInteractiveLayer, 300); - //updateInteractiveLayer(); - - //store old scales for use in transitions on update - x0 = x.copy(); - y0 = y.copy(); - z0 = z.copy(); - - }); - renderWatch.renderEnd('scatter immediate'); - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - // utility function calls provided by this chart - chart._calls = new function() { - this.clearHighlights = function () { - nv.dom.write(function() { - container.selectAll(".nv-point.hover").classed("hover", false); - }); - return null; - }; - this.highlightPoint = function (seriesIndex, pointIndex, isHoverOver) { - nv.dom.write(function() { - container.select(" .nv-series-" + seriesIndex + " .nv-point-" + pointIndex) - .classed("hover", isHoverOver); - }); - }; - }; - - // trigger calls from events too - dispatch.on('elementMouseover.point', function(d) { - if (interactive) chart._calls.highlightPoint(d.seriesIndex,d.pointIndex,true); - }); - - dispatch.on('elementMouseout.point', function(d) { - if (interactive) chart._calls.highlightPoint(d.seriesIndex,d.pointIndex,false); - }); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - xScale: {get: function(){return x;}, set: function(_){x=_;}}, - yScale: {get: function(){return y;}, set: function(_){y=_;}}, - pointScale: {get: function(){return z;}, set: function(_){z=_;}}, - xDomain: {get: function(){return xDomain;}, set: function(_){xDomain=_;}}, - yDomain: {get: function(){return yDomain;}, set: function(_){yDomain=_;}}, - pointDomain: {get: function(){return sizeDomain;}, set: function(_){sizeDomain=_;}}, - xRange: {get: function(){return xRange;}, set: function(_){xRange=_;}}, - yRange: {get: function(){return yRange;}, set: function(_){yRange=_;}}, - pointRange: {get: function(){return sizeRange;}, set: function(_){sizeRange=_;}}, - forceX: {get: function(){return forceX;}, set: function(_){forceX=_;}}, - forceY: {get: function(){return forceY;}, set: function(_){forceY=_;}}, - forcePoint: {get: function(){return forceSize;}, set: function(_){forceSize=_;}}, - interactive: {get: function(){return interactive;}, set: function(_){interactive=_;}}, - pointActive: {get: function(){return pointActive;}, set: function(_){pointActive=_;}}, - padDataOuter: {get: function(){return padDataOuter;}, set: function(_){padDataOuter=_;}}, - padData: {get: function(){return padData;}, set: function(_){padData=_;}}, - clipEdge: {get: function(){return clipEdge;}, set: function(_){clipEdge=_;}}, - clipVoronoi: {get: function(){return clipVoronoi;}, set: function(_){clipVoronoi=_;}}, - clipRadius: {get: function(){return clipRadius;}, set: function(_){clipRadius=_;}}, - showVoronoi: {get: function(){return showVoronoi;}, set: function(_){showVoronoi=_;}}, - id: {get: function(){return id;}, set: function(_){id=_;}}, - - - // simple functor options - x: {get: function(){return getX;}, set: function(_){getX = d3.functor(_);}}, - y: {get: function(){return getY;}, set: function(_){getY = d3.functor(_);}}, - pointSize: {get: function(){return getSize;}, set: function(_){getSize = d3.functor(_);}}, - pointShape: {get: function(){return getShape;}, set: function(_){getShape = d3.functor(_);}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }}, - useVoronoi: {get: function(){return useVoronoi;}, set: function(_){ - useVoronoi = _; - if (useVoronoi === false) { - clipVoronoi = false; - } - }} - }); - - nv.utils.initOptions(chart); - return chart; -}; - -nv.models.scatterChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var scatter = nv.models.scatter() - , xAxis = nv.models.axis() - , yAxis = nv.models.axis() - , legend = nv.models.legend() - , distX = nv.models.distribution() - , distY = nv.models.distribution() - , tooltip = nv.models.tooltip() - ; - - var margin = {top: 30, right: 20, bottom: 50, left: 75} - , width = null - , height = null - , container = null - , color = nv.utils.defaultColor() - , x = scatter.xScale() - , y = scatter.yScale() - , showDistX = false - , showDistY = false - , showLegend = true - , showXAxis = true - , showYAxis = true - , rightAlignYAxis = false - , state = nv.utils.state() - , defaultState = null - , dispatch = d3.dispatch('stateChange', 'changeState', 'renderEnd') - , noData = null - , duration = 250 - ; - - scatter.xScale(x).yScale(y); - xAxis.orient('bottom').tickPadding(10); - yAxis - .orient((rightAlignYAxis) ? 'right' : 'left') - .tickPadding(10) - ; - distX.axis('x'); - distY.axis('y'); - tooltip - .headerFormatter(function(d, i) { - return xAxis.tickFormat()(d, i); - }) - .valueFormatter(function(d, i) { - return yAxis.tickFormat()(d, i); - }); - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var x0, y0 - , renderWatch = nv.utils.renderWatch(dispatch, duration); - - var stateGetter = function(data) { - return function(){ - return { - active: data.map(function(d) { return !d.disabled }) - }; - } - }; - - var stateSetter = function(data) { - return function(state) { - if (state.active !== undefined) - data.forEach(function(series,i) { - series.disabled = !state.active[i]; - }); - } - }; - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(scatter); - if (showXAxis) renderWatch.models(xAxis); - if (showYAxis) renderWatch.models(yAxis); - if (showDistX) renderWatch.models(distX); - if (showDistY) renderWatch.models(distY); - - selection.each(function(data) { - var that = this; - - container = d3.select(this); - nv.utils.initSVG(container); - - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - chart.update = function() { - if (duration === 0) - container.call(chart); - else - container.transition().duration(duration).call(chart); - }; - chart.container = this; - - state - .setter(stateSetter(data), chart.update) - .getter(stateGetter(data)) - .update(); - - // DEPRECATED set state.disableddisabled - state.disabled = data.map(function(d) { return !!d.disabled }); - - if (!defaultState) { - var key; - defaultState = {}; - for (key in state) { - if (state[key] instanceof Array) - defaultState[key] = state[key].slice(0); - else - defaultState[key] = state[key]; - } - } - - // Display noData message if there's nothing to show. - if (!data || !data.length || !data.filter(function(d) { return d.values.length }).length) { - nv.utils.noData(chart, container); - renderWatch.renderEnd('scatter immediate'); - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup Scales - x = scatter.xScale(); - y = scatter.yScale(); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-scatterChart').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-scatterChart nv-chart-' + scatter.id()); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - // background for pointer events - gEnter.append('rect').attr('class', 'nvd3 nv-background').style("pointer-events","none"); - - gEnter.append('g').attr('class', 'nv-x nv-axis'); - gEnter.append('g').attr('class', 'nv-y nv-axis'); - gEnter.append('g').attr('class', 'nv-scatterWrap'); - gEnter.append('g').attr('class', 'nv-regressionLinesWrap'); - gEnter.append('g').attr('class', 'nv-distWrap'); - gEnter.append('g').attr('class', 'nv-legendWrap'); - - if (rightAlignYAxis) { - g.select(".nv-y.nv-axis") - .attr("transform", "translate(" + availableWidth + ",0)"); - } - - // Legend - if (showLegend) { - var legendWidth = availableWidth; - legend.width(legendWidth); - - wrap.select('.nv-legendWrap') - .datum(data) - .call(legend); - - if ( margin.top != legend.height()) { - margin.top = legend.height(); - availableHeight = nv.utils.availableHeight(height, container, margin); - } - - wrap.select('.nv-legendWrap') - .attr('transform', 'translate(0' + ',' + (-margin.top) +')'); - } - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - // Main Chart Component(s) - scatter - .width(availableWidth) - .height(availableHeight) - .color(data.map(function(d,i) { - return d.color || color(d, i); - }).filter(function(d,i) { return !data[i].disabled })); - - wrap.select('.nv-scatterWrap') - .datum(data.filter(function(d) { return !d.disabled })) - .call(scatter); - - - wrap.select('.nv-regressionLinesWrap') - .attr('clip-path', 'url(#nv-edge-clip-' + scatter.id() + ')'); - - var regWrap = wrap.select('.nv-regressionLinesWrap').selectAll('.nv-regLines') - .data(function (d) { - return d; - }); - - regWrap.enter().append('g').attr('class', 'nv-regLines'); - - var regLine = regWrap.selectAll('.nv-regLine') - .data(function (d) { - return [d] - }); - - regLine.enter() - .append('line').attr('class', 'nv-regLine') - .style('stroke-opacity', 0); - - // don't add lines unless we have slope and intercept to use - regLine.filter(function(d) { - return d.intercept && d.slope; - }) - .watchTransition(renderWatch, 'scatterPlusLineChart: regline') - .attr('x1', x.range()[0]) - .attr('x2', x.range()[1]) - .attr('y1', function (d, i) { - return y(x.domain()[0] * d.slope + d.intercept) - }) - .attr('y2', function (d, i) { - return y(x.domain()[1] * d.slope + d.intercept) - }) - .style('stroke', function (d, i, j) { - return color(d, j) - }) - .style('stroke-opacity', function (d, i) { - return (d.disabled || typeof d.slope === 'undefined' || typeof d.intercept === 'undefined') ? 0 : 1 - }); - - // Setup Axes - if (showXAxis) { - xAxis - .scale(x) - ._ticks( nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize( -availableHeight , 0); - - g.select('.nv-x.nv-axis') - .attr('transform', 'translate(0,' + y.range()[0] + ')') - .call(xAxis); - } - - if (showYAxis) { - yAxis - .scale(y) - ._ticks( nv.utils.calcTicksY(availableHeight/36, data) ) - .tickSize( -availableWidth, 0); - - g.select('.nv-y.nv-axis') - .call(yAxis); - } - - - if (showDistX) { - distX - .getData(scatter.x()) - .scale(x) - .width(availableWidth) - .color(data.map(function(d,i) { - return d.color || color(d, i); - }).filter(function(d,i) { return !data[i].disabled })); - gEnter.select('.nv-distWrap').append('g') - .attr('class', 'nv-distributionX'); - g.select('.nv-distributionX') - .attr('transform', 'translate(0,' + y.range()[0] + ')') - .datum(data.filter(function(d) { return !d.disabled })) - .call(distX); - } - - if (showDistY) { - distY - .getData(scatter.y()) - .scale(y) - .width(availableHeight) - .color(data.map(function(d,i) { - return d.color || color(d, i); - }).filter(function(d,i) { return !data[i].disabled })); - gEnter.select('.nv-distWrap').append('g') - .attr('class', 'nv-distributionY'); - g.select('.nv-distributionY') - .attr('transform', 'translate(' + (rightAlignYAxis ? availableWidth : -distY.size() ) + ',0)') - .datum(data.filter(function(d) { return !d.disabled })) - .call(distY); - } - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - - legend.dispatch.on('stateChange', function(newState) { - for (var key in newState) - state[key] = newState[key]; - dispatch.stateChange(state); - chart.update(); - }); - - // Update chart from a state object passed to event handler - dispatch.on('changeState', function(e) { - if (typeof e.disabled !== 'undefined') { - data.forEach(function(series,i) { - series.disabled = e.disabled[i]; - }); - state.disabled = e.disabled; - } - chart.update(); - }); - - // mouseover needs availableHeight so we just keep scatter mouse events inside the chart block - scatter.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true); - container.select('.nv-chart-' + scatter.id() + ' .nv-series-' + evt.seriesIndex + ' .nv-distx-' + evt.pointIndex) - .attr('y1', 0); - container.select('.nv-chart-' + scatter.id() + ' .nv-series-' + evt.seriesIndex + ' .nv-disty-' + evt.pointIndex) - .attr('x2', distY.size()); - }); - - scatter.dispatch.on('elementMouseover.tooltip', function(evt) { - container.select('.nv-series-' + evt.seriesIndex + ' .nv-distx-' + evt.pointIndex) - .attr('y1', evt.pos.top - availableHeight - margin.top); - container.select('.nv-series-' + evt.seriesIndex + ' .nv-disty-' + evt.pointIndex) - .attr('x2', evt.pos.left + distX.size() - margin.left); - tooltip.position(evt.pos).data(evt).hidden(false); - }); - - //store old scales for use in transitions on update - x0 = x.copy(); - y0 = y.copy(); - - }); - - renderWatch.renderEnd('scatter with line immediate'); - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.dispatch = dispatch; - chart.scatter = scatter; - chart.legend = legend; - chart.xAxis = xAxis; - chart.yAxis = yAxis; - chart.distX = distX; - chart.distY = distY; - chart.tooltip = tooltip; - - chart.options = nv.utils.optionsFunc.bind(chart); - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - container: {get: function(){return container;}, set: function(_){container=_;}}, - showDistX: {get: function(){return showDistX;}, set: function(_){showDistX=_;}}, - showDistY: {get: function(){return showDistY;}, set: function(_){showDistY=_;}}, - showLegend: {get: function(){return showLegend;}, set: function(_){showLegend=_;}}, - showXAxis: {get: function(){return showXAxis;}, set: function(_){showXAxis=_;}}, - showYAxis: {get: function(){return showYAxis;}, set: function(_){showYAxis=_;}}, - defaultState: {get: function(){return defaultState;}, set: function(_){defaultState=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - duration: {get: function(){return duration;}, set: function(_){duration=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - tooltipXContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'This option is removed, put values into main tooltip.'); - }}, - tooltipYContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'This option is removed, put values into main tooltip.'); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - rightAlignYAxis: {get: function(){return rightAlignYAxis;}, set: function(_){ - rightAlignYAxis = _; - yAxis.orient( (_) ? 'right' : 'left'); - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - legend.color(color); - distX.color(color); - distY.color(color); - }} - }); - - nv.utils.inheritOptions(chart, scatter); - nv.utils.initOptions(chart); - return chart; -}; - -nv.models.sparkline = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 2, right: 0, bottom: 2, left: 0} - , width = 400 - , height = 32 - , container = null - , animate = true - , x = d3.scale.linear() - , y = d3.scale.linear() - , getX = function(d) { return d.x } - , getY = function(d) { return d.y } - , color = nv.utils.getColor(['#000']) - , xDomain - , yDomain - , xRange - , yRange - ; - - function chart(selection) { - selection.each(function(data) { - var availableWidth = width - margin.left - margin.right, - availableHeight = height - margin.top - margin.bottom; - - container = d3.select(this); - nv.utils.initSVG(container); - - // Setup Scales - x .domain(xDomain || d3.extent(data, getX )) - .range(xRange || [0, availableWidth]); - - y .domain(yDomain || d3.extent(data, getY )) - .range(yRange || [availableHeight, 0]); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-sparkline').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-sparkline'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')') - - var paths = wrap.selectAll('path') - .data(function(d) { return [d] }); - paths.enter().append('path'); - paths.exit().remove(); - paths - .style('stroke', function(d,i) { return d.color || color(d, i) }) - .attr('d', d3.svg.line() - .x(function(d,i) { return x(getX(d,i)) }) - .y(function(d,i) { return y(getY(d,i)) }) - ); - - // TODO: Add CURRENT data point (Need Min, Mac, Current / Most recent) - var points = wrap.selectAll('circle.nv-point') - .data(function(data) { - var yValues = data.map(function(d, i) { return getY(d,i); }); - function pointIndex(index) { - if (index != -1) { - var result = data[index]; - result.pointIndex = index; - return result; - } else { - return null; - } - } - var maxPoint = pointIndex(yValues.lastIndexOf(y.domain()[1])), - minPoint = pointIndex(yValues.indexOf(y.domain()[0])), - currentPoint = pointIndex(yValues.length - 1); - return [minPoint, maxPoint, currentPoint].filter(function (d) {return d != null;}); - }); - points.enter().append('circle'); - points.exit().remove(); - points - .attr('cx', function(d,i) { return x(getX(d,d.pointIndex)) }) - .attr('cy', function(d,i) { return y(getY(d,d.pointIndex)) }) - .attr('r', 2) - .attr('class', function(d,i) { - return getX(d, d.pointIndex) == x.domain()[1] ? 'nv-point nv-currentValue' : - getY(d, d.pointIndex) == y.domain()[0] ? 'nv-point nv-minValue' : 'nv-point nv-maxValue' - }); - }); - - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - xDomain: {get: function(){return xDomain;}, set: function(_){xDomain=_;}}, - yDomain: {get: function(){return yDomain;}, set: function(_){yDomain=_;}}, - xRange: {get: function(){return xRange;}, set: function(_){xRange=_;}}, - yRange: {get: function(){return yRange;}, set: function(_){yRange=_;}}, - xScale: {get: function(){return x;}, set: function(_){x=_;}}, - yScale: {get: function(){return y;}, set: function(_){y=_;}}, - animate: {get: function(){return animate;}, set: function(_){animate=_;}}, - - //functor options - x: {get: function(){return getX;}, set: function(_){getX=d3.functor(_);}}, - y: {get: function(){return getY;}, set: function(_){getY=d3.functor(_);}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }} - }); - - nv.utils.initOptions(chart); - return chart; -}; - -nv.models.sparklinePlus = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var sparkline = nv.models.sparkline(); - - var margin = {top: 15, right: 100, bottom: 10, left: 50} - , width = null - , height = null - , x - , y - , index = [] - , paused = false - , xTickFormat = d3.format(',r') - , yTickFormat = d3.format(',.2f') - , showLastValue = true - , alignValue = true - , rightAlignValue = false - , noData = null - ; - - function chart(selection) { - selection.each(function(data) { - var container = d3.select(this); - nv.utils.initSVG(container); - - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - chart.update = function() { chart(selection) }; - chart.container = this; - - // Display No Data message if there's nothing to show. - if (!data || !data.length) { - nv.utils.noData(chart, container) - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - var currentValue = sparkline.y()(data[data.length-1], data.length-1); - - // Setup Scales - x = sparkline.xScale(); - y = sparkline.yScale(); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-sparklineplus').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-sparklineplus'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-sparklineWrap'); - gEnter.append('g').attr('class', 'nv-valueWrap'); - gEnter.append('g').attr('class', 'nv-hoverArea'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - // Main Chart Component(s) - var sparklineWrap = g.select('.nv-sparklineWrap'); - - sparkline.width(availableWidth).height(availableHeight); - sparklineWrap.call(sparkline); - - if (showLastValue) { - var valueWrap = g.select('.nv-valueWrap'); - var value = valueWrap.selectAll('.nv-currentValue') - .data([currentValue]); - - value.enter().append('text').attr('class', 'nv-currentValue') - .attr('dx', rightAlignValue ? -8 : 8) - .attr('dy', '.9em') - .style('text-anchor', rightAlignValue ? 'end' : 'start'); - - value - .attr('x', availableWidth + (rightAlignValue ? margin.right : 0)) - .attr('y', alignValue ? function (d) { - return y(d) - } : 0) - .style('fill', sparkline.color()(data[data.length - 1], data.length - 1)) - .text(yTickFormat(currentValue)); - } - - gEnter.select('.nv-hoverArea').append('rect') - .on('mousemove', sparklineHover) - .on('click', function() { paused = !paused }) - .on('mouseout', function() { index = []; updateValueLine(); }); - - g.select('.nv-hoverArea rect') - .attr('transform', function(d) { return 'translate(' + -margin.left + ',' + -margin.top + ')' }) - .attr('width', availableWidth + margin.left + margin.right) - .attr('height', availableHeight + margin.top); - - //index is currently global (within the chart), may or may not keep it that way - function updateValueLine() { - if (paused) return; - - var hoverValue = g.selectAll('.nv-hoverValue').data(index); - - var hoverEnter = hoverValue.enter() - .append('g').attr('class', 'nv-hoverValue') - .style('stroke-opacity', 0) - .style('fill-opacity', 0); - - hoverValue.exit() - .transition().duration(250) - .style('stroke-opacity', 0) - .style('fill-opacity', 0) - .remove(); - - hoverValue - .attr('transform', function(d) { return 'translate(' + x(sparkline.x()(data[d],d)) + ',0)' }) - .transition().duration(250) - .style('stroke-opacity', 1) - .style('fill-opacity', 1); - - if (!index.length) return; - - hoverEnter.append('line') - .attr('x1', 0) - .attr('y1', -margin.top) - .attr('x2', 0) - .attr('y2', availableHeight); - - hoverEnter.append('text').attr('class', 'nv-xValue') - .attr('x', -6) - .attr('y', -margin.top) - .attr('text-anchor', 'end') - .attr('dy', '.9em'); - - g.select('.nv-hoverValue .nv-xValue') - .text(xTickFormat(sparkline.x()(data[index[0]], index[0]))); - - hoverEnter.append('text').attr('class', 'nv-yValue') - .attr('x', 6) - .attr('y', -margin.top) - .attr('text-anchor', 'start') - .attr('dy', '.9em'); - - g.select('.nv-hoverValue .nv-yValue') - .text(yTickFormat(sparkline.y()(data[index[0]], index[0]))); - } - - function sparklineHover() { - if (paused) return; - - var pos = d3.mouse(this)[0] - margin.left; - - function getClosestIndex(data, x) { - var distance = Math.abs(sparkline.x()(data[0], 0) - x); - var closestIndex = 0; - for (var i = 0; i < data.length; i++){ - if (Math.abs(sparkline.x()(data[i], i) - x) < distance) { - distance = Math.abs(sparkline.x()(data[i], i) - x); - closestIndex = i; - } - } - return closestIndex; - } - - index = [getClosestIndex(data, Math.round(x.invert(pos)))]; - updateValueLine(); - } - - }); - - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.sparkline = sparkline; - - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - xTickFormat: {get: function(){return xTickFormat;}, set: function(_){xTickFormat=_;}}, - yTickFormat: {get: function(){return yTickFormat;}, set: function(_){yTickFormat=_;}}, - showLastValue: {get: function(){return showLastValue;}, set: function(_){showLastValue=_;}}, - alignValue: {get: function(){return alignValue;}, set: function(_){alignValue=_;}}, - rightAlignValue: {get: function(){return rightAlignValue;}, set: function(_){rightAlignValue=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }} - }); - - nv.utils.inheritOptions(chart, sparkline); - nv.utils.initOptions(chart); - - return chart; -}; - -nv.models.stackedArea = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = 960 - , height = 500 - , color = nv.utils.defaultColor() // a function that computes the color - , id = Math.floor(Math.random() * 100000) //Create semi-unique ID incase user doesn't selet one - , container = null - , getX = function(d) { return d.x } // accessor to get the x value from a data point - , getY = function(d) { return d.y } // accessor to get the y value from a data point - , style = 'stack' - , offset = 'zero' - , order = 'default' - , interpolate = 'linear' // controls the line interpolation - , clipEdge = false // if true, masks lines within x and y scale - , x //can be accessed via chart.xScale() - , y //can be accessed via chart.yScale() - , scatter = nv.models.scatter() - , duration = 250 - , dispatch = d3.dispatch('areaClick', 'areaMouseover', 'areaMouseout','renderEnd', 'elementClick', 'elementMouseover', 'elementMouseout') - ; - - scatter - .pointSize(2.2) // default size - .pointDomain([2.2, 2.2]) // all the same size by default - ; - - /************************************ - * offset: - * 'wiggle' (stream) - * 'zero' (stacked) - * 'expand' (normalize to 100%) - * 'silhouette' (simple centered) - * - * order: - * 'inside-out' (stream) - * 'default' (input order) - ************************************/ - - var renderWatch = nv.utils.renderWatch(dispatch, duration); - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(scatter); - selection.each(function(data) { - var availableWidth = width - margin.left - margin.right, - availableHeight = height - margin.top - margin.bottom; - - container = d3.select(this); - nv.utils.initSVG(container); - - // Setup Scales - x = scatter.xScale(); - y = scatter.yScale(); - - var dataRaw = data; - // Injecting point index into each point because d3.layout.stack().out does not give index - data.forEach(function(aseries, i) { - aseries.seriesIndex = i; - aseries.values = aseries.values.map(function(d, j) { - d.index = j; - d.seriesIndex = i; - return d; - }); - }); - - var dataFiltered = data.filter(function(series) { - return !series.disabled; - }); - - data = d3.layout.stack() - .order(order) - .offset(offset) - .values(function(d) { return d.values }) //TODO: make values customizeable in EVERY model in this fashion - .x(getX) - .y(getY) - .out(function(d, y0, y) { - d.display = { - y: y, - y0: y0 - }; - }) - (dataFiltered); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-stackedarea').data([data]); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-stackedarea'); - var defsEnter = wrapEnter.append('defs'); - var gEnter = wrapEnter.append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-areaWrap'); - gEnter.append('g').attr('class', 'nv-scatterWrap'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - // If the user has not specified forceY, make sure 0 is included in the domain - // Otherwise, use user-specified values for forceY - if (scatter.forceY().length == 0) { - scatter.forceY().push(0); - } - - scatter - .width(availableWidth) - .height(availableHeight) - .x(getX) - .y(function(d) { return d.display.y + d.display.y0 }) - .forceY([0]) - .color(data.map(function(d,i) { - return d.color || color(d, d.seriesIndex); - })); - - var scatterWrap = g.select('.nv-scatterWrap') - .datum(data); - - scatterWrap.call(scatter); - - defsEnter.append('clipPath') - .attr('id', 'nv-edge-clip-' + id) - .append('rect'); - - wrap.select('#nv-edge-clip-' + id + ' rect') - .attr('width', availableWidth) - .attr('height', availableHeight); - - g.attr('clip-path', clipEdge ? 'url(#nv-edge-clip-' + id + ')' : ''); - - var area = d3.svg.area() - .x(function(d,i) { return x(getX(d,i)) }) - .y0(function(d) { - return y(d.display.y0) - }) - .y1(function(d) { - return y(d.display.y + d.display.y0) - }) - .interpolate(interpolate); - - var zeroArea = d3.svg.area() - .x(function(d,i) { return x(getX(d,i)) }) - .y0(function(d) { return y(d.display.y0) }) - .y1(function(d) { return y(d.display.y0) }); - - var path = g.select('.nv-areaWrap').selectAll('path.nv-area') - .data(function(d) { return d }); - - path.enter().append('path').attr('class', function(d,i) { return 'nv-area nv-area-' + i }) - .attr('d', function(d,i){ - return zeroArea(d.values, d.seriesIndex); - }) - .on('mouseover', function(d,i) { - d3.select(this).classed('hover', true); - dispatch.areaMouseover({ - point: d, - series: d.key, - pos: [d3.event.pageX, d3.event.pageY], - seriesIndex: d.seriesIndex - }); - }) - .on('mouseout', function(d,i) { - d3.select(this).classed('hover', false); - dispatch.areaMouseout({ - point: d, - series: d.key, - pos: [d3.event.pageX, d3.event.pageY], - seriesIndex: d.seriesIndex - }); - }) - .on('click', function(d,i) { - d3.select(this).classed('hover', false); - dispatch.areaClick({ - point: d, - series: d.key, - pos: [d3.event.pageX, d3.event.pageY], - seriesIndex: d.seriesIndex - }); - }); - - path.exit().remove(); - path.style('fill', function(d,i){ - return d.color || color(d, d.seriesIndex) - }) - .style('stroke', function(d,i){ return d.color || color(d, d.seriesIndex) }); - path.watchTransition(renderWatch,'stackedArea path') - .attr('d', function(d,i) { - return area(d.values,i) - }); - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - - scatter.dispatch.on('elementMouseover.area', function(e) { - g.select('.nv-chart-' + id + ' .nv-area-' + e.seriesIndex).classed('hover', true); - }); - scatter.dispatch.on('elementMouseout.area', function(e) { - g.select('.nv-chart-' + id + ' .nv-area-' + e.seriesIndex).classed('hover', false); - }); - - //Special offset functions - chart.d3_stackedOffset_stackPercent = function(stackData) { - var n = stackData.length, //How many series - m = stackData[0].length, //how many points per series - i, - j, - o, - y0 = []; - - for (j = 0; j < m; ++j) { //Looping through all points - for (i = 0, o = 0; i < dataRaw.length; i++) { //looping through all series - o += getY(dataRaw[i].values[j]); //total y value of all series at a certian point in time. - } - - if (o) for (i = 0; i < n; i++) { //(total y value of all series at point in time i) != 0 - stackData[i][j][1] /= o; - } else { //(total y value of all series at point in time i) == 0 - for (i = 0; i < n; i++) { - stackData[i][j][1] = 0; - } - } - } - for (j = 0; j < m; ++j) y0[j] = 0; - return y0; - }; - - }); - - renderWatch.renderEnd('stackedArea immediate'); - return chart; - } - - //============================================================ - // Global getters and setters - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.scatter = scatter; - - scatter.dispatch.on('elementClick', function(){ dispatch.elementClick.apply(this, arguments); }); - scatter.dispatch.on('elementMouseover', function(){ dispatch.elementMouseover.apply(this, arguments); }); - scatter.dispatch.on('elementMouseout', function(){ dispatch.elementMouseout.apply(this, arguments); }); - - chart.interpolate = function(_) { - if (!arguments.length) return interpolate; - interpolate = _; - return chart; - }; - - chart.duration = function(_) { - if (!arguments.length) return duration; - duration = _; - renderWatch.reset(duration); - scatter.duration(duration); - return chart; - }; - - chart.dispatch = dispatch; - chart.scatter = scatter; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - clipEdge: {get: function(){return clipEdge;}, set: function(_){clipEdge=_;}}, - offset: {get: function(){return offset;}, set: function(_){offset=_;}}, - order: {get: function(){return order;}, set: function(_){order=_;}}, - interpolate: {get: function(){return interpolate;}, set: function(_){interpolate=_;}}, - - // simple functor options - x: {get: function(){return getX;}, set: function(_){getX = d3.functor(_);}}, - y: {get: function(){return getY;}, set: function(_){getY = d3.functor(_);}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - }}, - style: {get: function(){return style;}, set: function(_){ - style = _; - switch (style) { - case 'stack': - chart.offset('zero'); - chart.order('default'); - break; - case 'stream': - chart.offset('wiggle'); - chart.order('inside-out'); - break; - case 'stream-center': - chart.offset('silhouette'); - chart.order('inside-out'); - break; - case 'expand': - chart.offset('expand'); - chart.order('default'); - break; - case 'stack_percent': - chart.offset(chart.d3_stackedOffset_stackPercent); - chart.order('default'); - break; - } - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - scatter.duration(duration); - }} - }); - - nv.utils.inheritOptions(chart, scatter); - nv.utils.initOptions(chart); - - return chart; -}; - -nv.models.stackedAreaChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var stacked = nv.models.stackedArea() - , xAxis = nv.models.axis() - , yAxis = nv.models.axis() - , legend = nv.models.legend() - , controls = nv.models.legend() - , interactiveLayer = nv.interactiveGuideline() - , tooltip = nv.models.tooltip() - ; - - var margin = {top: 30, right: 25, bottom: 50, left: 60} - , width = null - , height = null - , color = nv.utils.defaultColor() - , showControls = true - , showLegend = true - , showXAxis = true - , showYAxis = true - , rightAlignYAxis = false - , useInteractiveGuideline = false - , x //can be accessed via chart.xScale() - , y //can be accessed via chart.yScale() - , state = nv.utils.state() - , defaultState = null - , noData = null - , dispatch = d3.dispatch('stateChange', 'changeState','renderEnd') - , controlWidth = 250 - , controlOptions = ['Stacked','Stream','Expanded'] - , controlLabels = {} - , duration = 250 - ; - - state.style = stacked.style(); - xAxis.orient('bottom').tickPadding(7); - yAxis.orient((rightAlignYAxis) ? 'right' : 'left'); - - tooltip - .headerFormatter(function(d, i) { - return xAxis.tickFormat()(d, i); - }) - .valueFormatter(function(d, i) { - return yAxis.tickFormat()(d, i); - }); - - interactiveLayer.tooltip - .headerFormatter(function(d, i) { - return xAxis.tickFormat()(d, i); - }) - .valueFormatter(function(d, i) { - return yAxis.tickFormat()(d, i); - }); - - var oldYTickFormat = null, - oldValueFormatter = null; - - controls.updateState(false); - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var renderWatch = nv.utils.renderWatch(dispatch); - var style = stacked.style(); - - var stateGetter = function(data) { - return function(){ - return { - active: data.map(function(d) { return !d.disabled }), - style: stacked.style() - }; - } - }; - - var stateSetter = function(data) { - return function(state) { - if (state.style !== undefined) - style = state.style; - if (state.active !== undefined) - data.forEach(function(series,i) { - series.disabled = !state.active[i]; - }); - } - }; - - var percentFormatter = d3.format('%'); - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(stacked); - if (showXAxis) renderWatch.models(xAxis); - if (showYAxis) renderWatch.models(yAxis); - - selection.each(function(data) { - var container = d3.select(this), - that = this; - nv.utils.initSVG(container); - - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - chart.update = function() { container.transition().duration(duration).call(chart); }; - chart.container = this; - - state - .setter(stateSetter(data), chart.update) - .getter(stateGetter(data)) - .update(); - - // DEPRECATED set state.disabled - state.disabled = data.map(function(d) { return !!d.disabled }); - - if (!defaultState) { - var key; - defaultState = {}; - for (key in state) { - if (state[key] instanceof Array) - defaultState[key] = state[key].slice(0); - else - defaultState[key] = state[key]; - } - } - - // Display No Data message if there's nothing to show. - if (!data || !data.length || !data.filter(function(d) { return d.values.length }).length) { - nv.utils.noData(chart, container) - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup Scales - x = stacked.xScale(); - y = stacked.yScale(); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-stackedAreaChart').data([data]); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-stackedAreaChart').append('g'); - var g = wrap.select('g'); - - gEnter.append("rect").style("opacity",0); - gEnter.append('g').attr('class', 'nv-x nv-axis'); - gEnter.append('g').attr('class', 'nv-y nv-axis'); - gEnter.append('g').attr('class', 'nv-stackedWrap'); - gEnter.append('g').attr('class', 'nv-legendWrap'); - gEnter.append('g').attr('class', 'nv-controlsWrap'); - gEnter.append('g').attr('class', 'nv-interactive'); - - g.select("rect").attr("width",availableWidth).attr("height",availableHeight); - - // Legend - if (showLegend) { - var legendWidth = (showControls) ? availableWidth - controlWidth : availableWidth; - - legend.width(legendWidth); - g.select('.nv-legendWrap').datum(data).call(legend); - - if ( margin.top != legend.height()) { - margin.top = legend.height(); - availableHeight = nv.utils.availableHeight(height, container, margin); - } - - g.select('.nv-legendWrap') - .attr('transform', 'translate(' + (availableWidth-legendWidth) + ',' + (-margin.top) +')'); - } - - // Controls - if (showControls) { - var controlsData = [ - { - key: controlLabels.stacked || 'Stacked', - metaKey: 'Stacked', - disabled: stacked.style() != 'stack', - style: 'stack' - }, - { - key: controlLabels.stream || 'Stream', - metaKey: 'Stream', - disabled: stacked.style() != 'stream', - style: 'stream' - }, - { - key: controlLabels.expanded || 'Expanded', - metaKey: 'Expanded', - disabled: stacked.style() != 'expand', - style: 'expand' - }, - { - key: controlLabels.stack_percent || 'Stack %', - metaKey: 'Stack_Percent', - disabled: stacked.style() != 'stack_percent', - style: 'stack_percent' - } - ]; - - controlWidth = (controlOptions.length/3) * 260; - controlsData = controlsData.filter(function(d) { - return controlOptions.indexOf(d.metaKey) !== -1; - }); - - controls - .width( controlWidth ) - .color(['#444', '#444', '#444']); - - g.select('.nv-controlsWrap') - .datum(controlsData) - .call(controls); - - if ( margin.top != Math.max(controls.height(), legend.height()) ) { - margin.top = Math.max(controls.height(), legend.height()); - availableHeight = nv.utils.availableHeight(height, container, margin); - } - - g.select('.nv-controlsWrap') - .attr('transform', 'translate(0,' + (-margin.top) +')'); - } - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - if (rightAlignYAxis) { - g.select(".nv-y.nv-axis") - .attr("transform", "translate(" + availableWidth + ",0)"); - } - - //Set up interactive layer - if (useInteractiveGuideline) { - interactiveLayer - .width(availableWidth) - .height(availableHeight) - .margin({left: margin.left, top: margin.top}) - .svgContainer(container) - .xScale(x); - wrap.select(".nv-interactive").call(interactiveLayer); - } - - stacked - .width(availableWidth) - .height(availableHeight); - - var stackedWrap = g.select('.nv-stackedWrap') - .datum(data); - - stackedWrap.transition().call(stacked); - - // Setup Axes - if (showXAxis) { - xAxis.scale(x) - ._ticks( nv.utils.calcTicksX(availableWidth/100, data) ) - .tickSize( -availableHeight, 0); - - g.select('.nv-x.nv-axis') - .attr('transform', 'translate(0,' + availableHeight + ')'); - - g.select('.nv-x.nv-axis') - .transition().duration(0) - .call(xAxis); - } - - if (showYAxis) { - var ticks; - if (stacked.offset() === 'wiggle') { - ticks = 0; - } - else { - ticks = nv.utils.calcTicksY(availableHeight/36, data); - } - yAxis.scale(y) - ._ticks(ticks) - .tickSize(-availableWidth, 0); - - if (stacked.style() === 'expand' || stacked.style() === 'stack_percent') { - var currentFormat = yAxis.tickFormat(); - - if ( !oldYTickFormat || currentFormat !== percentFormatter ) - oldYTickFormat = currentFormat; - - //Forces the yAxis to use percentage in 'expand' mode. - yAxis.tickFormat(percentFormatter); - } - else { - if (oldYTickFormat) { - yAxis.tickFormat(oldYTickFormat); - oldYTickFormat = null; - } - } - - g.select('.nv-y.nv-axis') - .transition().duration(0) - .call(yAxis); - } - - //============================================================ - // Event Handling/Dispatching (in chart's scope) - //------------------------------------------------------------ - - stacked.dispatch.on('areaClick.toggle', function(e) { - if (data.filter(function(d) { return !d.disabled }).length === 1) - data.forEach(function(d) { - d.disabled = false; - }); - else - data.forEach(function(d,i) { - d.disabled = (i != e.seriesIndex); - }); - - state.disabled = data.map(function(d) { return !!d.disabled }); - dispatch.stateChange(state); - - chart.update(); - }); - - legend.dispatch.on('stateChange', function(newState) { - for (var key in newState) - state[key] = newState[key]; - dispatch.stateChange(state); - chart.update(); - }); - - controls.dispatch.on('legendClick', function(d,i) { - if (!d.disabled) return; - - controlsData = controlsData.map(function(s) { - s.disabled = true; - return s; - }); - d.disabled = false; - - stacked.style(d.style); - - - state.style = stacked.style(); - dispatch.stateChange(state); - - chart.update(); - }); - - interactiveLayer.dispatch.on('elementMousemove', function(e) { - stacked.clearHighlights(); - var singlePoint, pointIndex, pointXLocation, allData = []; - data - .filter(function(series, i) { - series.seriesIndex = i; - return !series.disabled; - }) - .forEach(function(series,i) { - pointIndex = nv.interactiveBisect(series.values, e.pointXValue, chart.x()); - var point = series.values[pointIndex]; - var pointYValue = chart.y()(point, pointIndex); - if (pointYValue != null) { - stacked.highlightPoint(i, pointIndex, true); - } - if (typeof point === 'undefined') return; - if (typeof singlePoint === 'undefined') singlePoint = point; - if (typeof pointXLocation === 'undefined') pointXLocation = chart.xScale()(chart.x()(point,pointIndex)); - - //If we are in 'expand' mode, use the stacked percent value instead of raw value. - var tooltipValue = (stacked.style() == 'expand') ? point.display.y : chart.y()(point,pointIndex); - allData.push({ - key: series.key, - value: tooltipValue, - color: color(series,series.seriesIndex), - stackedValue: point.display - }); - }); - - allData.reverse(); - - //Highlight the tooltip entry based on which stack the mouse is closest to. - if (allData.length > 2) { - var yValue = chart.yScale().invert(e.mouseY); - var yDistMax = Infinity, indexToHighlight = null; - allData.forEach(function(series,i) { - - //To handle situation where the stacked area chart is negative, we need to use absolute values - //when checking if the mouse Y value is within the stack area. - yValue = Math.abs(yValue); - var stackedY0 = Math.abs(series.stackedValue.y0); - var stackedY = Math.abs(series.stackedValue.y); - if ( yValue >= stackedY0 && yValue <= (stackedY + stackedY0)) - { - indexToHighlight = i; - return; - } - }); - if (indexToHighlight != null) - allData[indexToHighlight].highlight = true; - } - - var xValue = xAxis.tickFormat()(chart.x()(singlePoint,pointIndex)); - - var valueFormatter = interactiveLayer.tooltip.valueFormatter(); - // Keeps track of the tooltip valueFormatter if the chart changes to expanded view - if (stacked.style() === 'expand' || stacked.style() === 'stack_percent') { - if ( !oldValueFormatter ) { - oldValueFormatter = valueFormatter; - } - //Forces the tooltip to use percentage in 'expand' mode. - valueFormatter = d3.format(".1%"); - } - else { - if (oldValueFormatter) { - valueFormatter = oldValueFormatter; - oldValueFormatter = null; - } - } - - interactiveLayer.tooltip - .position({left: pointXLocation + margin.left, top: e.mouseY + margin.top}) - .chartContainer(that.parentNode) - .valueFormatter(valueFormatter) - .data( - { - value: xValue, - series: allData - } - )(); - - interactiveLayer.renderGuideLine(pointXLocation); - - }); - - interactiveLayer.dispatch.on("elementMouseout",function(e) { - stacked.clearHighlights(); - }); - - // Update chart from a state object passed to event handler - dispatch.on('changeState', function(e) { - - if (typeof e.disabled !== 'undefined' && data.length === e.disabled.length) { - data.forEach(function(series,i) { - series.disabled = e.disabled[i]; - }); - - state.disabled = e.disabled; - } - - if (typeof e.style !== 'undefined') { - stacked.style(e.style); - style = e.style; - } - - chart.update(); - }); - - }); - - renderWatch.renderEnd('stacked Area chart immediate'); - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - stacked.dispatch.on('elementMouseover.tooltip', function(evt) { - evt.point['x'] = stacked.x()(evt.point); - evt.point['y'] = stacked.y()(evt.point); - tooltip.data(evt).position(evt.pos).hidden(false); - }); - - stacked.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true) - }); - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.dispatch = dispatch; - chart.stacked = stacked; - chart.legend = legend; - chart.controls = controls; - chart.xAxis = xAxis; - chart.yAxis = yAxis; - chart.interactiveLayer = interactiveLayer; - chart.tooltip = tooltip; - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - showLegend: {get: function(){return showLegend;}, set: function(_){showLegend=_;}}, - showXAxis: {get: function(){return showXAxis;}, set: function(_){showXAxis=_;}}, - showYAxis: {get: function(){return showYAxis;}, set: function(_){showYAxis=_;}}, - defaultState: {get: function(){return defaultState;}, set: function(_){defaultState=_;}}, - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - showControls: {get: function(){return showControls;}, set: function(_){showControls=_;}}, - controlLabels: {get: function(){return controlLabels;}, set: function(_){controlLabels=_;}}, - controlOptions: {get: function(){return controlOptions;}, set: function(_){controlOptions=_;}}, - - // deprecated options - tooltips: {get: function(){return tooltip.enabled();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltips', 'use chart.tooltip.enabled() instead'); - tooltip.enabled(!!_); - }}, - tooltipContent: {get: function(){return tooltip.contentGenerator();}, set: function(_){ - // deprecated after 1.7.1 - nv.deprecated('tooltipContent', 'use chart.tooltip.contentGenerator() instead'); - tooltip.contentGenerator(_); - }}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? _.top : margin.top; - margin.right = _.right !== undefined ? _.right : margin.right; - margin.bottom = _.bottom !== undefined ? _.bottom : margin.bottom; - margin.left = _.left !== undefined ? _.left : margin.left; - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - stacked.duration(duration); - xAxis.duration(duration); - yAxis.duration(duration); - }}, - color: {get: function(){return color;}, set: function(_){ - color = nv.utils.getColor(_); - legend.color(color); - stacked.color(color); - }}, - rightAlignYAxis: {get: function(){return rightAlignYAxis;}, set: function(_){ - rightAlignYAxis = _; - yAxis.orient( rightAlignYAxis ? 'right' : 'left'); - }}, - useInteractiveGuideline: {get: function(){return useInteractiveGuideline;}, set: function(_){ - useInteractiveGuideline = !!_; - chart.interactive(!_); - chart.useVoronoi(!_); - stacked.scatter.interactive(!_); - }} - }); - - nv.utils.inheritOptions(chart, stacked); - nv.utils.initOptions(chart); - - return chart; -}; -// based on http://bl.ocks.org/kerryrodden/477c1bfb081b783f80ad -nv.models.sunburst = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var margin = {top: 0, right: 0, bottom: 0, left: 0} - , width = null - , height = null - , mode = "count" - , modes = {count: function(d) { return 1; }, size: function(d) { return d.size }} - , id = Math.floor(Math.random() * 10000) //Create semi-unique ID in case user doesn't select one - , container = null - , color = nv.utils.defaultColor() - , duration = 500 - , dispatch = d3.dispatch('chartClick', 'elementClick', 'elementDblClick', 'elementMousemove', 'elementMouseover', 'elementMouseout', 'renderEnd') - ; - - var x = d3.scale.linear().range([0, 2 * Math.PI]); - var y = d3.scale.sqrt(); - - var partition = d3.layout.partition() - .sort(null) - .value(function(d) { return 1; }); - - var arc = d3.svg.arc() - .startAngle(function(d) { return Math.max(0, Math.min(2 * Math.PI, x(d.x))); }) - .endAngle(function(d) { return Math.max(0, Math.min(2 * Math.PI, x(d.x + d.dx))); }) - .innerRadius(function(d) { return Math.max(0, y(d.y)); }) - .outerRadius(function(d) { return Math.max(0, y(d.y + d.dy)); }); - - // Keep track of the current and previous node being displayed as the root. - var node, prevNode; - // Keep track of the root node - var rootNode; - - //============================================================ - // chart function - //------------------------------------------------------------ - - var renderWatch = nv.utils.renderWatch(dispatch); - - function chart(selection) { - renderWatch.reset(); - selection.each(function(data) { - container = d3.select(this); - var availableWidth = nv.utils.availableWidth(width, container, margin); - var availableHeight = nv.utils.availableHeight(height, container, margin); - var radius = Math.min(availableWidth, availableHeight) / 2; - var path; - - nv.utils.initSVG(container); - - // Setup containers and skeleton of chart - var wrap = container.selectAll('.nv-wrap.nv-sunburst').data(data); - var wrapEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-sunburst nv-chart-' + id); - - var g = wrapEnter.selectAll('nv-sunburst'); - - wrap.attr('transform', 'translate(' + availableWidth / 2 + ',' + availableHeight / 2 + ')'); - - container.on('click', function (d, i) { - dispatch.chartClick({ - data: d, - index: i, - pos: d3.event, - id: id - }); - }); - - y.range([0, radius]); - - node = node || data; - rootNode = data[0]; - partition.value(modes[mode] || modes["count"]); - path = g.data(partition.nodes).enter() - .append("path") - .attr("d", arc) - .style("fill", function (d) { - return color((d.children ? d : d.parent).name); - }) - .style("stroke", "#FFF") - .on("click", function(d) { - if (prevNode !== node && node !== d) prevNode = node; - node = d; - path.transition() - .duration(duration) - .attrTween("d", arcTweenZoom(d)); - }) - .each(stash) - .on("dblclick", function(d) { - if (prevNode.parent == d) { - path.transition() - .duration(duration) - .attrTween("d", arcTweenZoom(rootNode)); - } - }) - .each(stash) - .on('mouseover', function(d,i){ - d3.select(this).classed('hover', true).style('opacity', 0.8); - dispatch.elementMouseover({ - data: d, - color: d3.select(this).style("fill") - }); - }) - .on('mouseout', function(d,i){ - d3.select(this).classed('hover', false).style('opacity', 1); - dispatch.elementMouseout({ - data: d - }); - }) - .on('mousemove', function(d,i){ - dispatch.elementMousemove({ - data: d - }); - }); - - - - // Setup for switching data: stash the old values for transition. - function stash(d) { - d.x0 = d.x; - d.dx0 = d.dx; - } - - // When switching data: interpolate the arcs in data space. - function arcTweenData(a, i) { - var oi = d3.interpolate({x: a.x0, dx: a.dx0}, a); - - function tween(t) { - var b = oi(t); - a.x0 = b.x; - a.dx0 = b.dx; - return arc(b); - } - - if (i == 0) { - // If we are on the first arc, adjust the x domain to match the root node - // at the current zoom level. (We only need to do this once.) - var xd = d3.interpolate(x.domain(), [node.x, node.x + node.dx]); - return function (t) { - x.domain(xd(t)); - return tween(t); - }; - } else { - return tween; - } - } - - // When zooming: interpolate the scales. - function arcTweenZoom(d) { - var xd = d3.interpolate(x.domain(), [d.x, d.x + d.dx]), - yd = d3.interpolate(y.domain(), [d.y, 1]), - yr = d3.interpolate(y.range(), [d.y ? 20 : 0, radius]); - return function (d, i) { - return i - ? function (t) { - return arc(d); - } - : function (t) { - x.domain(xd(t)); - y.domain(yd(t)).range(yr(t)); - return arc(d); - }; - }; - } - - }); - - renderWatch.renderEnd('sunburst immediate'); - return chart; - } - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - chart.dispatch = dispatch; - chart.options = nv.utils.optionsFunc.bind(chart); - - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - width: {get: function(){return width;}, set: function(_){width=_;}}, - height: {get: function(){return height;}, set: function(_){height=_;}}, - mode: {get: function(){return mode;}, set: function(_){mode=_;}}, - id: {get: function(){return id;}, set: function(_){id=_;}}, - duration: {get: function(){return duration;}, set: function(_){duration=_;}}, - - // options that require extra logic in the setter - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top != undefined ? _.top : margin.top; - margin.right = _.right != undefined ? _.right : margin.right; - margin.bottom = _.bottom != undefined ? _.bottom : margin.bottom; - margin.left = _.left != undefined ? _.left : margin.left; - }}, - color: {get: function(){return color;}, set: function(_){ - color=nv.utils.getColor(_); - }} - }); - - nv.utils.initOptions(chart); - return chart; -}; -nv.models.sunburstChart = function() { - "use strict"; - - //============================================================ - // Public Variables with Default Settings - //------------------------------------------------------------ - - var sunburst = nv.models.sunburst(); - var tooltip = nv.models.tooltip(); - - var margin = {top: 30, right: 20, bottom: 20, left: 20} - , width = null - , height = null - , color = nv.utils.defaultColor() - , id = Math.round(Math.random() * 100000) - , defaultState = null - , noData = null - , duration = 250 - , dispatch = d3.dispatch('tooltipShow', 'tooltipHide', 'stateChange', 'changeState','renderEnd') - ; - - //============================================================ - // Private Variables - //------------------------------------------------------------ - - var renderWatch = nv.utils.renderWatch(dispatch); - tooltip.headerEnabled(false).duration(0).valueFormatter(function(d, i) { - return d; - }); - - //============================================================ - // Chart function - //------------------------------------------------------------ - - function chart(selection) { - renderWatch.reset(); - renderWatch.models(sunburst); - - selection.each(function(data) { - var container = d3.select(this); - nv.utils.initSVG(container); - - var that = this; - var availableWidth = nv.utils.availableWidth(width, container, margin), - availableHeight = nv.utils.availableHeight(height, container, margin); - - chart.update = function() { - if (duration === 0) - container.call(chart); - else - container.transition().duration(duration).call(chart) - }; - chart.container = this; - - // Display No Data message if there's nothing to show. - if (!data || !data.length) { - nv.utils.noData(chart, container); - return chart; - } else { - container.selectAll('.nv-noData').remove(); - } - - // Setup containers and skeleton of chart - var wrap = container.selectAll('g.nv-wrap.nv-sunburstChart').data(data); - var gEnter = wrap.enter().append('g').attr('class', 'nvd3 nv-wrap nv-sunburstChart').append('g'); - var g = wrap.select('g'); - - gEnter.append('g').attr('class', 'nv-sunburstWrap'); - - wrap.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')'); - - // Main Chart Component(s) - sunburst.width(availableWidth).height(availableHeight); - var sunWrap = g.select('.nv-sunburstWrap').datum(data); - d3.transition(sunWrap).call(sunburst); - - }); - - renderWatch.renderEnd('sunburstChart immediate'); - return chart; - } - - //============================================================ - // Event Handling/Dispatching (out of chart's scope) - //------------------------------------------------------------ - - sunburst.dispatch.on('elementMouseover.tooltip', function(evt) { - evt['series'] = { - key: evt.data.name, - value: evt.data.size, - color: evt.color - }; - tooltip.data(evt).hidden(false); - }); - - sunburst.dispatch.on('elementMouseout.tooltip', function(evt) { - tooltip.hidden(true); - }); - - sunburst.dispatch.on('elementMousemove.tooltip', function(evt) { - tooltip.position({top: d3.event.pageY, left: d3.event.pageX})(); - }); - - //============================================================ - // Expose Public Variables - //------------------------------------------------------------ - - // expose chart's sub-components - chart.dispatch = dispatch; - chart.sunburst = sunburst; - chart.tooltip = tooltip; - chart.options = nv.utils.optionsFunc.bind(chart); - - // use Object get/set functionality to map between vars and chart functions - chart._options = Object.create({}, { - // simple options, just get/set the necessary values - noData: {get: function(){return noData;}, set: function(_){noData=_;}}, - defaultState: {get: function(){return defaultState;}, set: function(_){defaultState=_;}}, - - // options that require extra logic in the setter - color: {get: function(){return color;}, set: function(_){ - color = _; - sunburst.color(color); - }}, - duration: {get: function(){return duration;}, set: function(_){ - duration = _; - renderWatch.reset(duration); - sunburst.duration(duration); - }}, - margin: {get: function(){return margin;}, set: function(_){ - margin.top = _.top !== undefined ? 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c,d,e,f,g=a.models.line(),h=a.models.line(),i=a.models.axis(),j=a.models.axis(),k=a.models.axis(),l=a.models.axis(),m=a.models.legend(),n=d3.svg.brush(),o=a.models.tooltip(),p=a.interactiveGuideline(),q={top:30,right:30,bottom:30,left:60},r={top:0,right:30,bottom:20,left:60},s=a.utils.defaultColor(),t=null,u=null,v=50,w=!1,x=!0,y=null,z=null,A=d3.dispatch("brush","stateChange","changeState"),B=250,C=a.utils.state(),D=null;g.clipEdge(!0).duration(0),h.interactive(!1),i.orient("bottom").tickPadding(5),j.orient("left"),k.orient("bottom").tickPadding(5),l.orient("left"),o.valueFormatter(function(a,b){return j.tickFormat()(a,b)}).headerFormatter(function(a,b){return i.tickFormat()(a,b)});var E=function(a){return function(){return{active:a.map(function(a){return!a.disabled})}}},F=function(a){return function(b){void 0!==b.active&&a.forEach(function(a,c){a.disabled=!b.active[c]})}};return 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k.each(function(b){var k=h-g.left-g.right,q=i-g.top-g.bottom;j=d3.select(this),a.utils.initSVG(j),l.domain(c||d3.extent(b,n)).range(e||[0,k]),m.domain(d||d3.extent(b,o)).range(f||[q,0]);var r=j.selectAll("g.nv-wrap.nv-sparkline").data([b]),s=r.enter().append("g").attr("class","nvd3 nv-wrap nv-sparkline");s.append("g"),r.select("g");r.attr("transform","translate("+g.left+","+g.top+")");var t=r.selectAll("path").data(function(a){return[a]});t.enter().append("path"),t.exit().remove(),t.style("stroke",function(a,b){return a.color||p(a,b)}).attr("d",d3.svg.line().x(function(a,b){return l(n(a,b))}).y(function(a,b){return m(o(a,b))}));var u=r.selectAll("circle.nv-point").data(function(a){function b(b){if(-1!=b){var c=a[b];return c.pointIndex=b,c}return null}var c=a.map(function(a,b){return o(a,b)}),d=b(c.lastIndexOf(m.domain()[1])),e=b(c.indexOf(m.domain()[0])),f=b(c.length-1);return[e,d,f].filter(function(a){return 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x=m.filter(function(a){return!a.disabled});m=d3.layout.stack().order(o).offset(n).values(function(a){return a.values}).x(k).y(l).out(function(a,b,c){a.display={y:c,y0:b}})(x);var y=j.selectAll("g.nv-wrap.nv-stackedarea").data([m]),z=y.enter().append("g").attr("class","nvd3 nv-wrap nv-stackedarea"),A=z.append("defs"),B=z.append("g"),C=y.select("g");B.append("g").attr("class","nv-areaWrap"),B.append("g").attr("class","nv-scatterWrap"),y.attr("transform","translate("+e.left+","+e.top+")"),0==r.forceY().length&&r.forceY().push(0),r.width(s).height(v).x(k).y(function(a){return a.display.y+a.display.y0}).forceY([0]).color(m.map(function(a,b){return a.color||h(a,a.seriesIndex)}));var D=C.select(".nv-scatterWrap").datum(m);D.call(r),A.append("clipPath").attr("id","nv-edge-clip-"+i).append("rect"),y.select("#nv-edge-clip-"+i+" rect").attr("width",s).attr("height",v),C.attr("clip-path",q?"url(#nv-edge-clip-"+i+")":"");var E=d3.svg.area().x(function(a,b){return c(k(a,b))}).y0(function(a){return d(a.display.y0)}).y1(function(a){return d(a.display.y+a.display.y0)}).interpolate(p),F=d3.svg.area().x(function(a,b){return c(k(a,b))}).y0(function(a){return d(a.display.y0)}).y1(function(a){return d(a.display.y0)}),G=C.select(".nv-areaWrap").selectAll("path.nv-area").data(function(a){return a});G.enter().append("path").attr("class",function(a,b){return"nv-area nv-area-"+b}).attr("d",function(a,b){return F(a.values,a.seriesIndex)}).on("mouseover",function(a,b){d3.select(this).classed("hover",!0),t.areaMouseover({point:a,series:a.key,pos:[d3.event.pageX,d3.event.pageY],seriesIndex:a.seriesIndex})}).on("mouseout",function(a,b){d3.select(this).classed("hover",!1),t.areaMouseout({point:a,series:a.key,pos:[d3.event.pageX,d3.event.pageY],seriesIndex:a.seriesIndex})}).on("click",function(a,b){d3.select(this).classed("hover",!1),t.areaClick({point:a,series:a.key,pos:[d3.event.pageX,d3.event.pageY],seriesIndex:a.seriesIndex})}),G.exit().remove(),G.style("fill",function(a,b){return 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T;if(T="wiggle"===e.offset()?0:a.utils.calcTicksY(L/36,k),g.scale(d)._ticks(T).tickSize(-K,0),"expand"===e.style()||"stack_percent"===e.style()){var U=g.tickFormat();D&&U===J||(D=U),g.tickFormat(J)}else D&&(g.tickFormat(D),D=null);P.select(".nv-y.nv-axis").transition().duration(0).call(g)}e.dispatch.on("areaClick.toggle",function(a){1===k.filter(function(a){return!a.disabled}).length?k.forEach(function(a){a.disabled=!1}):k.forEach(function(b,c){b.disabled=c!=a.seriesIndex}),v.disabled=k.map(function(a){return!!a.disabled}),y.stateChange(v),b.update()}),h.dispatch.on("stateChange",function(a){for(var c in a)v[c]=a[c];y.stateChange(v),b.update()}),i.dispatch.on("legendClick",function(a,c){a.disabled&&(R=R.map(function(a){return a.disabled=!0,a}),a.disabled=!1,e.style(a.style),v.style=e.style(),y.stateChange(v),b.update())}),j.dispatch.on("elementMousemove",function(c){e.clearHighlights();var d,g,h,i=[];if(k.filter(function(a,b){return 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- border-bottom-right-radius: 0 !important; -} - -div.DTFC_LeftHeadWrapper table thead tr:last-child th:first-child, -div.DTFC_LeftHeadWrapper table thead tr:last-child td:first-child { - border-bottom-left-radius: 0 !important; - border-bottom-right-radius: 0 !important; -} - -div.DTFC_LeftBodyWrapper table { - border-top: none; - margin-bottom: 0 !important; -} - -div.DTFC_LeftBodyWrapper tbody tr:first-child th, -div.DTFC_LeftBodyWrapper tbody tr:first-child td { - border-top: none; -} - -div.DTFC_LeftFootWrapper table { - border-top: none; -} - diff --git a/wqflask/wqflask/static/packages/DT_bootstrap/DT_bootstrap.js b/wqflask/wqflask/static/packages/DT_bootstrap/DT_bootstrap.js deleted file mode 100644 index cfe3e9d2..00000000 --- a/wqflask/wqflask/static/packages/DT_bootstrap/DT_bootstrap.js +++ /dev/null @@ -1,159 +0,0 @@ -/* Set the defaults for DataTables initialisation */ -$.extend( true, $.fn.dataTable.defaults, { - "sDom": "<'row-fluid'<'span6'l><'span6'f>r>t<'row-fluid'<'span6'i><'span6'p>>", - "sPaginationType": "bootstrap", - "oLanguage": { - "sLengthMenu": "_MENU_ records per page" - } -} ); - - -/* Default class modification */ -$.extend( $.fn.dataTableExt.oStdClasses, { - "sWrapper": "dataTables_wrapper form-inline" -} ); - - -/* API method to get paging information */ -$.fn.dataTableExt.oApi.fnPagingInfo = function ( oSettings ) -{ - return { - "iStart": oSettings._iDisplayStart, - "iEnd": oSettings.fnDisplayEnd(), - "iLength": oSettings._iDisplayLength, - "iTotal": oSettings.fnRecordsTotal(), - "iFilteredTotal": oSettings.fnRecordsDisplay(), - "iPage": oSettings._iDisplayLength === -1 ? - 0 : Math.ceil( oSettings._iDisplayStart / oSettings._iDisplayLength ), - "iTotalPages": oSettings._iDisplayLength === -1 ? - 0 : Math.ceil( oSettings.fnRecordsDisplay() / oSettings._iDisplayLength ) - }; -}; - - -/* Bootstrap style pagination control */ -$.extend( $.fn.dataTableExt.oPagination, { - "bootstrap": { - "fnInit": function( oSettings, nPaging, fnDraw ) { - var oLang = oSettings.oLanguage.oPaginate; - var fnClickHandler = function ( e ) { - e.preventDefault(); - if ( oSettings.oApi._fnPageChange(oSettings, e.data.action) ) { - fnDraw( oSettings ); - } - }; - - $(nPaging).addClass('pagination').append( - '<ul>'+ - '<li class="prev disabled"><a href="#">← '+oLang.sPrevious+'</a></li>'+ - '<li class="next disabled"><a href="#">'+oLang.sNext+' → </a></li>'+ - '</ul>' - ); - var els = $('a', nPaging); - $(els[0]).bind( 'click.DT', { action: "previous" }, fnClickHandler ); - $(els[1]).bind( 'click.DT', { action: "next" }, fnClickHandler ); - }, - - "fnUpdate": function ( oSettings, fnDraw ) { - var iListLength = 5; - var oPaging = oSettings.oInstance.fnPagingInfo(); - var an = oSettings.aanFeatures.p; - var i, ien, j, sClass, iStart, iEnd, iHalf=Math.floor(iListLength/2); - - if ( oPaging.iTotalPages < iListLength) { - iStart = 1; - iEnd = oPaging.iTotalPages; - } - else if ( oPaging.iPage <= iHalf ) { - iStart = 1; - iEnd = iListLength; - } else if ( oPaging.iPage >= (oPaging.iTotalPages-iHalf) ) { - iStart = oPaging.iTotalPages - iListLength + 1; - iEnd = oPaging.iTotalPages; - } else { - iStart = oPaging.iPage - iHalf + 1; - iEnd = iStart + iListLength - 1; - } - - for ( i=0, ien=an.length ; i<ien ; i++ ) { - // Remove the middle elements - $('li:gt(0)', an[i]).filter(':not(:last)').remove(); - - // Add the new list items and their event handlers - for ( j=iStart ; j<=iEnd ; j++ ) { - sClass = (j==oPaging.iPage+1) ? 'class="active"' : ''; - $('<li '+sClass+'><a href="#">'+j+'</a></li>') - .insertBefore( $('li:last', an[i])[0] ) - .bind('click', function (e) { - e.preventDefault(); - oSettings._iDisplayStart = (parseInt($('a', this).text(),10)-1) * oPaging.iLength; - fnDraw( oSettings ); - } ); - } - - // Add / remove disabled classes from the static elements - if ( oPaging.iPage === 0 ) { - $('li:first', an[i]).addClass('disabled'); - } else { - $('li:first', an[i]).removeClass('disabled'); - } - - if ( oPaging.iPage === oPaging.iTotalPages-1 || oPaging.iTotalPages === 0 ) { - $('li:last', an[i]).addClass('disabled'); - } else { - $('li:last', an[i]).removeClass('disabled'); - } - } - } - } -} ); - - -/* - * TableTools Bootstrap compatibility - * Required TableTools 2.1+ - */ -if ( $.fn.DataTable.TableTools ) { - // Set the classes that TableTools uses to something suitable for Bootstrap - $.extend( true, $.fn.DataTable.TableTools.classes, { - "container": "DTTT btn-group", - "buttons": { - "normal": "btn", - "disabled": "disabled" - }, - "collection": { - "container": "DTTT_dropdown dropdown-menu", - "buttons": { - "normal": "", - "disabled": "disabled" - } - }, - "print": { - "info": "DTTT_print_info modal" - }, - "select": { - "row": "active" - } - } ); - - // Have the collection use a bootstrap compatible dropdown - $.extend( true, $.fn.DataTable.TableTools.DEFAULTS.oTags, { - "collection": { - "container": "ul", - "button": "li", - "liner": "a" - } - } ); -} - - -/* Table initialisation */ -//$(document).ready(function() { -// $('#example').dataTable( { -// "sDom": "<'row'<'span6'l><'span6'f>r>t<'row'<'span6'i><'span6'p>>", -// "sPaginationType": "bootstrap", -// "oLanguage": { -// "sLengthMenu": "_MENU_ records per page" -// } -// } ); -//} );
\ No newline at end of file diff --git a/wqflask/wqflask/static/packages/DT_bootstrap/images b/wqflask/wqflask/static/packages/DT_bootstrap/images deleted file mode 120000 index f5f1b7d0..00000000 --- a/wqflask/wqflask/static/packages/DT_bootstrap/images +++ /dev/null @@ -1 +0,0 @@ -../../new/packages/DataTables/images/
\ No newline at end of file diff --git a/wqflask/wqflask/static/packages/bootstrap/css/bootstrap.css b/wqflask/wqflask/static/packages/bootstrap/css/bootstrap.css index b735a0ce..ead46cef 100644 --- a/wqflask/wqflask/static/packages/bootstrap/css/bootstrap.css +++ b/wqflask/wqflask/static/packages/bootstrap/css/bootstrap.css @@ -3683,6 +3683,7 @@ select[multiple].input-group-sm > .input-group-btn > .btn { list-style: none; } .nav > li { + margin-right: 10px; position: relative; display: block; } diff --git a/wqflask/wqflask/static/packages/bootstrap/css/non-responsive.css b/wqflask/wqflask/static/packages/bootstrap/css/non-responsive.css index d352390f..36affd72 100644 --- a/wqflask/wqflask/static/packages/bootstrap/css/non-responsive.css +++ b/wqflask/wqflask/static/packages/bootstrap/css/non-responsive.css @@ -6,7 +6,7 @@ /* Account for fixed navbar */ body { - min-width: 1200px; + //min-width: 1200px; padding-top: 70px; padding-bottom: 30px; } @@ -28,7 +28,7 @@ body { /* Reset the container */ .container { - width: 1400px; + width: 100%; max-width: none !important; } diff --git a/wqflask/wqflask/static/packages/purescript_genome_browser/css/purescript-genetics-browser.css b/wqflask/wqflask/static/packages/purescript_genome_browser/css/purescript-genetics-browser.css new file mode 100644 index 00000000..135292ac --- /dev/null +++ b/wqflask/wqflask/static/packages/purescript_genome_browser/css/purescript-genetics-browser.css @@ -0,0 +1 @@ +body,html{max-width:100%;overflow-x:hidden}#browser{position:absolute;margin:0}#info-line{border:1px solid #aaa;padding:2px;position:absolute;right:0;top:1px;min-width:14%;font-size:9pt}#controls{visibility:hidden;position:absolute;top:4px;left:100px;z-index:1000}#controls>button{border:1px solid #aaa;border-radius:2px;padding-left:6px;padding-right:6px;height:23px;min-width:20px}button#scrollRight,button#zoomIn{margin-left:-2px;margin-right:4px}#infoBox{position:absolute;display:inline-block;z-index:10000;visibility:hidden;padding:5px;border:2px solid grey;border-radius:5%;background-color:#fff;min-height:100px;min-width:10px;max-width:80%;margin-top:9.7em;font-family:sans-serif}#infoBox>div{float:left;margin:1em 1.2em}#infoBox>div>p{margin:.1em}
\ No newline at end of file diff --git a/wqflask/wqflask/static/packages/purescript_genome_browser/js/purescript-genetics-browser.js b/wqflask/wqflask/static/packages/purescript_genome_browser/js/purescript-genetics-browser.js new file mode 100644 index 00000000..26fd2d99 --- /dev/null +++ b/wqflask/wqflask/static/packages/purescript_genome_browser/js/purescript-genetics-browser.js @@ -0,0 +1,659 @@ +parcelRequire=function(e,r,t,n){var i,o="function"==typeof parcelRequire&&parcelRequire,u="function"==typeof require&&require;function f(t,n){if(!r[t]){if(!e[t]){var i="function"==typeof parcelRequire&&parcelRequire;if(!n&&i)return i(t,!0);if(o)return o(t,!0);if(u&&"string"==typeof t)return u(t);var c=new Error("Cannot find module '"+t+"'");throw c.code="MODULE_NOT_FOUND",c}p.resolve=function(r){return e[t][1][r]||r},p.cache={};var l=r[t]=new f.Module(t);e[t][0].call(l.exports,p,l,l.exports,this)}return r[t].exports;function p(e){return f(p.resolve(e))}}f.isParcelRequire=!0,f.Module=function(e){this.id=e,this.bundle=f,this.exports={}},f.modules=e,f.cache=r,f.parent=o,f.register=function(r,t){e[r]=[function(e,r){r.exports=t},{}]};for(var c=0;c<t.length;c++)try{f(t[c])}catch(e){i||(i=e)}if(t.length){var l=f(t[t.length-1]);"object"==typeof exports&&"undefined"!=typeof module?module.exports=l:"function"==typeof define&&define.amd?define(function(){return l}):n&&(this[n]=l)}if(parcelRequire=f,i)throw i;return f}({"DuPX":[function(require,module,exports) { +"use strict";exports.buttonEvent=function(t){return function(n){return function(){document.getElementById(t).addEventListener("click",function(t){n()})}}},exports.keydownEvent=function(t){return function(t){return function(){window.addEventListener("keydown",function(n){t(n)()})}}},exports.resizeEvent=function(t){return function(){var n=null;window.addEventListener("resize",function(){n&&clearTimeout(n),n=setTimeout(function(){n=null,t(exports.windowInnerSize())()},250)},!1)}},exports.windowInnerSize=function(){return{width:window.innerWidth,height:window.innerHeight}},exports.setWindow=function(t){return function(n){return function(){window[t]=n}}},exports.setElementContents=function(t){return function(n){return function(){t.innerHTML=n}}};var t="debugDiv";exports.initDebugDiv=function(n){return function(){var e=document.getElementById("browser"),i=document.getElementById(t);return i||(i=document.createElement("div"),e.appendChild(i)),i.id=t,i.style.position="relative",i.style.left="0.0",i.style.top="0.0",i.style["border-radius"]="50%",i.style.width=2*n+"px",i.style.height=2*n+"px",i.style["z-index"]="100",i.style.backgroundColor="red",i.style["pointer-events"]="none",i.style.display="inline-block",i.style.visibility="hidden",i.dataset.radius=n,i}};var n=function(){var n=document.getElementById(t);return n||initDebugDiv(10)()};exports.setDebugDivVisibility=function(t){return function(){n().style.visibility=t}},exports.setDebugDivPoint=function(t){return function(){var e=n(),i=1|e.dataset.radius,r=t.x-i,o=t.y-2*i;e.style.left=r+"px",e.style.top=o+"px"}}; +},{}],"7nyB":[function(require,module,exports) { +"use strict";exports.arrayApply=function(r){return function(n){for(var t=r.length,e=n.length,a=new Array(t*e),o=0,u=0;u<t;u++)for(var f=r[u],c=0;c<e;c++)a[o++]=f(n[c]);return a}}; +},{}],"/riR":[function(require,module,exports) { +"use strict";var n=function(n){this.compose=n},o=new n(function(n){return function(o){return function(r){return n(o(r))}}}),r=function(n){return n.compose},t=function(n){return function(o){return function(t){return r(n)(t)(o)}}};module.exports={compose:r,Semigroupoid:n,composeFlipped:t,semigroupoidFn:o}; +},{}],"IAi2":[function(require,module,exports) { +"use strict";var i=require("../Control.Semigroupoid/index.js"),t=function(i,t){this.Semigroupoid0=i,this.identity=t},n=function(i){return i.identity},e=new t(function(){return i.semigroupoidFn},function(i){return i});module.exports={Category:t,identity:n,categoryFn:e}; +},{"../Control.Semigroupoid/index.js":"/riR"}],"ObQr":[function(require,module,exports) { +"use strict";var e=!0;module.exports={otherwise:e}; +},{}],"ImXJ":[function(require,module,exports) { +"use strict";var n=require("../Data.Boolean/index.js"),r=function(n){return function(r){return function(t){return function(u){return n(r(t))(r(u))}}}},t=function(n){return function(r){return function(t){return n(t)(r)}}},u=function(n){return function(r){return n}},e=function(r){return function(t){return function(u){var e,o=t,i=!1;function c(t,e){if(t<=0)return i=!0,e;if(n.otherwise)return o=t-1|0,void(u=r(e));throw new Error("Failed pattern match at Data.Function (line 94, column 3 - line 96, column 37): "+[t.constructor.name,e.constructor.name])}for(;!i;)e=c(o,u);return e}}},o=function(n){return function(r){return r(n)}},i=function(n){return function(r){return n(r)}};module.exports={flip:t,const:u,apply:i,applyFlipped:o,applyN:e,on:r}; +},{"../Data.Boolean/index.js":"ObQr"}],"0GYo":[function(require,module,exports) { +"use strict";exports.arrayMap=function(r){return function(n){for(var t=n.length,e=new Array(t),a=0;a<t;a++)e[a]=r(n[a]);return e}}; +},{}],"Nqls":[function(require,module,exports) { +"use strict";exports.unit={}; +},{}],"qgjE":[function(require,module,exports) { +"use strict";exports.showIntImpl=function(r){return r.toString()},exports.showNumberImpl=function(r){var t=r.toString();return isNaN(t+".0")?t:t+".0"},exports.showCharImpl=function(r){var t=r.charCodeAt(0);if(t<32||127===t){switch(r){case"":return"'\\a'";case"\b":return"'\\b'";case"\f":return"'\\f'";case"\n":return"'\\n'";case"\r":return"'\\r'";case"\t":return"'\\t'";case"\v":return"'\\v'"}return"'\\"+t.toString(10)+"'"}return"'"===r||"\\"===r?"'\\"+r+"'":"'"+r+"'"},exports.showStringImpl=function(r){var t=r.length;return'"'+r.replace(/[\0-\x1F\x7F"\\]/g,function(n,e){switch(n){case'"':case"\\":return"\\"+n;case"":return"\\a";case"\b":return"\\b";case"\f":return"\\f";case"\n":return"\\n";case"\r":return"\\r";case"\t":return"\\t";case"\v":return"\\v"}var u=e+1,c=u<t&&r[u]>="0"&&r[u]<="9"?"\\&":"";return"\\"+n.charCodeAt(0).toString(10)+c})+'"'},exports.showArrayImpl=function(r){return function(t){for(var n=[],e=0,u=t.length;e<u;e++)n[e]=r(t[e]);return"["+n.join(",")+"]"}},exports.cons=function(r){return function(t){return[r].concat(t)}},exports.join=function(r){return function(t){return t.join(r)}}; +},{}],"AvJb":[function(require,module,exports) { +"use strict";exports.unsafeCoerce=function(e){return e}; +},{}],"4oJQ":[function(require,module,exports) { +"use strict";var e=require("./foreign.js"),n=function(){function e(){}return e.value=new e,e}(),r=function(e){this.reflectSymbol=e},t=function(r){return function(t){return e.unsafeCoerce(function(e){return t(e)})({reflectSymbol:function(e){return r}})(n.value)}},u=function(e){return e.reflectSymbol};module.exports={IsSymbol:r,reflectSymbol:u,reifySymbol:t,SProxy:n}; +},{"./foreign.js":"AvJb"}],"CHMS":[function(require,module,exports) { +"use strict";exports.unsafeHas=function(n){return function(r){return{}.hasOwnProperty.call(r,n)}},exports.unsafeGet=function(n){return function(r){return r[n]}},exports.unsafeSet=function(n){return function(r){return function(t){var e={};for(var u in t)({}).hasOwnProperty.call(t,u)&&(e[u]=t[u]);return e[n]=r,e}}},exports.unsafeDelete=function(n){return function(r){var t={};for(var e in r)e!==n&&{}.hasOwnProperty.call(r,e)&&(t[e]=r[e]);return t}}; +},{}],"KG04":[function(require,module,exports) { +"use strict";var e=require("./foreign.js");module.exports={unsafeHas:e.unsafeHas,unsafeGet:e.unsafeGet,unsafeSet:e.unsafeSet,unsafeDelete:e.unsafeDelete}; +},{"./foreign.js":"CHMS"}],"XaXP":[function(require,module,exports) { +"use strict";var e=function(){function e(){}return e.value=new e,e}();module.exports={RLProxy:e}; +},{}],"mFY7":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),e=require("../Data.Symbol/index.js"),r=require("../Record.Unsafe/index.js"),o=require("../Type.Data.RowList/index.js"),t=function(n){this.showRecordFields=n},u=function(n){this.show=n},i=new u(n.showStringImpl),s=new t(function(n){return function(n){return[]}}),w=function(n){return n.showRecordFields},c=function(e){return function(e){return new u(function(r){var t=w(e)(o.RLProxy.value)(r);return 0===t.length?"{}":n.join(" ")(["{",n.join(", ")(t),"}"])})}},h=new u(n.showNumberImpl),l=new u(n.showIntImpl),a=new u(n.showCharImpl),f=new u(function(n){if(n)return"true";if(!n)return"false";throw new Error("Failed pattern match at Data.Show (line 20, column 1 - line 22, column 23): "+[n.constructor.name])}),d=function(n){return n.show},m=function(e){return new u(n.showArrayImpl(d(e)))},R=function(u){return function(i){return function(s){return new t(function(t){return function(t){var c=w(i)(o.RLProxy.value)(t),h=e.reflectSymbol(u)(e.SProxy.value),l=r.unsafeGet(h)(t);return n.cons(n.join(": ")([h,d(s)(l)]))(c)}})}}};module.exports={Show:u,show:d,ShowRecordFields:t,showRecordFields:w,showBoolean:f,showInt:l,showNumber:h,showChar:a,showString:i,showArray:m,showRecord:c,showRecordFieldsNil:s,showRecordFieldsCons:R}; +},{"./foreign.js":"qgjE","../Data.Symbol/index.js":"4oJQ","../Record.Unsafe/index.js":"KG04","../Type.Data.RowList/index.js":"XaXP"}],"NhVk":[function(require,module,exports) { +"use strict";var e=require("./foreign.js"),i=require("../Data.Show/index.js"),n=new i.Show(function(e){return"unit"});module.exports={showUnit:n,unit:e.unit}; +},{"./foreign.js":"Nqls","../Data.Show/index.js":"mFY7"}],"+0AE":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Control.Semigroupoid/index.js"),t=require("../Data.Function/index.js"),u=require("../Data.Unit/index.js"),i=function(n){this.map=n},e=function(n){return n.map},o=function(n){return function(r){return function(t){return e(n)(t)(r)}}},c=function(n){return e(n)(t.const(u.unit))},f=function(n){return function(r){return function(u){return e(n)(t.const(u))(r)}}},a=function(n){return function(r){return e(n)(t.const(r))}},s=new i(r.compose(r.semigroupoidFn)),p=new i(n.arrayMap),d=function(n){return function(r){return function(t){return e(n)(function(n){return n(t)})(r)}}};module.exports={Functor:i,map:e,mapFlipped:o,void:c,voidRight:a,voidLeft:f,flap:d,functorFn:s,functorArray:p}; +},{"./foreign.js":"0GYo","../Control.Semigroupoid/index.js":"/riR","../Data.Function/index.js":"ImXJ","../Data.Unit/index.js":"NhVk"}],"QcLv":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Control.Category/index.js"),t=require("../Data.Function/index.js"),u=require("../Data.Functor/index.js"),o=function(n,r){this.Functor0=n,this.apply=r},e=new o(function(){return u.functorFn},function(n){return function(r){return function(t){return n(t)(r(t))}}}),i=new o(function(){return u.functorArray},n.arrayApply),c=function(n){return n.apply},f=function(n){return function(r){return function(o){return c(n)(u.map(n.Functor0())(t.const)(r))(o)}}},p=function(n){return function(o){return function(e){return c(n)(u.map(n.Functor0())(t.const(r.identity(r.categoryFn)))(o))(e)}}},a=function(n){return function(r){return function(t){return function(o){return c(n)(u.map(n.Functor0())(r)(t))(o)}}}},l=function(n){return function(r){return function(t){return function(o){return function(e){return c(n)(c(n)(u.map(n.Functor0())(r)(t))(o))(e)}}}}},y=function(n){return function(r){return function(t){return function(o){return function(e){return function(i){return c(n)(c(n)(c(n)(u.map(n.Functor0())(r)(t))(o))(e))(i)}}}}}},F=function(n){return function(r){return function(t){return function(o){return function(e){return function(i){return function(f){return c(n)(c(n)(c(n)(c(n)(u.map(n.Functor0())(r)(t))(o))(e))(i))(f)}}}}}}};module.exports={Apply:o,apply:c,applyFirst:f,applySecond:p,lift2:a,lift3:l,lift4:y,lift5:F,applyFn:e,applyArray:i}; +},{"./foreign.js":"7nyB","../Control.Category/index.js":"IAi2","../Data.Function/index.js":"ImXJ","../Data.Functor/index.js":"+0AE"}],"qYya":[function(require,module,exports) { +"use strict";var n=require("../Control.Apply/index.js"),r=require("../Data.Unit/index.js"),t=function(n,r){this.Apply0=n,this.pure=r},e=function(n){return n.pure},u=function(n){return function(t){return function(u){if(!t)return u;if(t)return e(n)(r.unit);throw new Error("Failed pattern match at Control.Applicative (line 62, column 1 - line 62, column 65): "+[t.constructor.name,u.constructor.name])}}},i=function(n){return function(t){return function(u){if(t)return u;if(!t)return e(n)(r.unit);throw new Error("Failed pattern match at Control.Applicative (line 57, column 1 - line 57, column 63): "+[t.constructor.name,u.constructor.name])}}},o=function(r){return function(t){return function(u){return n.apply(r.Apply0())(e(r)(t))(u)}}},c=new t(function(){return n.applyFn},function(n){return function(r){return n}}),p=new t(function(){return n.applyArray},function(n){return[n]});module.exports={Applicative:t,pure:e,liftA1:o,unless:u,when:i,applicativeFn:c,applicativeArray:p}; +},{"../Control.Apply/index.js":"QcLv","../Data.Unit/index.js":"NhVk"}],"S3W+":[function(require,module,exports) { +"use strict";exports.arrayBind=function(r){return function(t){for(var n=[],e=0,o=r.length;e<o;e++)Array.prototype.push.apply(n,t(r[e]));return n}}; +},{}],"7VcT":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Control.Apply/index.js"),t=require("../Control.Category/index.js"),i=require("../Data.Function/index.js"),u=function(n){this.discard=n},e=function(n,r){this.Apply0=n,this.bind=r},o=function(n){return n.discard},c=new e(function(){return r.applyFn},function(n){return function(r){return function(t){return r(n(t))(t)}}}),f=new e(function(){return r.applyArray},n.arrayBind),d=function(n){return n.bind},s=function(n){return i.flip(d(n))},a=function(n){return function(r){return function(t){return function(i){return s(n)(r)(t(i))}}}},p=function(n){return function(r){return function(t){return function(i){return d(n)(r(i))(t)}}}},l=new u(function(n){return d(n)}),y=function(n){return function(r){return function(t){return function(i){return d(n)(r)(function(n){return n?t:i})}}}},b=function(n){return function(r){return d(n)(r)(t.identity(t.categoryFn))}};module.exports={Bind:e,bind:d,bindFlipped:s,Discard:u,discard:o,join:b,composeKleisli:p,composeKleisliFlipped:a,ifM:y,bindFn:c,bindArray:f,discardUnit:l}; +},{"./foreign.js":"S3W+","../Control.Apply/index.js":"QcLv","../Control.Category/index.js":"IAi2","../Data.Function/index.js":"ImXJ"}],"phTL":[function(require,module,exports) { +"use strict";exports.concatString=function(n){return function(t){return n+t}},exports.concatArray=function(n){return function(t){return 0===n.length?t:0===t.length?n:n.concat(t)}}; +},{}],"bncE":[function(require,module,exports) { +"use strict";var r=require("../Data.Show/index.js"),n=function(r){return r},o=function(r){return function(r){var n;for(;;)n=void(r=r);return n}(r)},e=new r.Show(o);module.exports={absurd:o,showVoid:e}; +},{"../Data.Show/index.js":"mFY7"}],"EsAJ":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Data.Symbol/index.js"),e=require("../Data.Unit/index.js"),u=require("../Data.Void/index.js"),t=require("../Record.Unsafe/index.js"),i=require("../Type.Data.RowList/index.js"),o=function(n){this.appendRecord=n},c=function(n){this.append=n},f=new c(function(n){return u.absurd}),a=new c(function(n){return function(n){return e.unit}}),s=new c(n.concatString),p=new o(function(n){return function(n){return function(n){return{}}}}),d=new c(n.concatArray),g=function(n){return n.appendRecord},m=function(n){return function(n){return new c(g(n)(i.RLProxy.value))}},R=function(n){return n.append},w=function(n){return new c(function(r){return function(e){return function(u){return R(n)(r(u))(e(u))}}})},x=function(n){return function(e){return function(e){return function(u){return new o(function(o){return function(o){return function(c){var f=g(e)(i.RLProxy.value)(o)(c),a=r.reflectSymbol(n)(r.SProxy.value),s=t.unsafeSet(a),p=t.unsafeGet(a);return s(R(u)(p(o))(p(c)))(f)}}})}}}};module.exports={Semigroup:c,append:R,SemigroupRecord:o,appendRecord:g,semigroupString:s,semigroupUnit:a,semigroupVoid:f,semigroupFn:w,semigroupArray:d,semigroupRecord:m,semigroupRecordNil:p,semigroupRecordCons:x}; +},{"./foreign.js":"phTL","../Data.Symbol/index.js":"4oJQ","../Data.Unit/index.js":"NhVk","../Data.Void/index.js":"bncE","../Record.Unsafe/index.js":"KG04","../Type.Data.RowList/index.js":"XaXP"}],"lN+m":[function(require,module,exports) { +"use strict";var r=require("../Data.Functor/index.js"),t=require("../Data.Semigroup/index.js"),e=function(r,t){this.Functor0=r,this.alt=t},n=new e(function(){return r.functorArray},t.append(t.semigroupArray)),u=function(r){return r.alt};module.exports={Alt:e,alt:u,altArray:n}; +},{"../Data.Functor/index.js":"+0AE","../Data.Semigroup/index.js":"EsAJ"}],"oMBg":[function(require,module,exports) { +"use strict";var t=require("../Control.Alt/index.js"),r=function(t,r){this.Alt0=t,this.empty=r},e=new r(function(){return t.altArray},[]),n=function(t){return t.empty};module.exports={Plus:r,empty:n,plusArray:e}; +},{"../Control.Alt/index.js":"lN+m"}],"aHia":[function(require,module,exports) { +"use strict";var r=require("../Control.Applicative/index.js"),e=require("../Control.Plus/index.js"),t=function(r,e){this.Applicative0=r,this.Plus1=e},i=new t(function(){return r.applicativeArray},function(){return e.plusArray});module.exports={Alternative:t,alternativeArray:i}; +},{"../Control.Applicative/index.js":"qYya","../Control.Plus/index.js":"oMBg"}],"U/Ix":[function(require,module,exports) { +"use strict";var n=require("../Control.Applicative/index.js"),i=require("../Control.Bind/index.js"),r=function(n,i){this.Applicative0=n,this.Bind1=i},t=function(r){return function(t){return function(u){return i.bind(r.Bind1())(t)(function(i){return n.when(r.Applicative0())(i)(u)})}}},u=function(r){return function(t){return function(u){return i.bind(r.Bind1())(t)(function(i){return n.unless(r.Applicative0())(i)(u)})}}},e=new r(function(){return n.applicativeFn},function(){return i.bindFn}),c=new r(function(){return n.applicativeArray},function(){return i.bindArray}),o=function(r){return function(t){return function(u){return i.bind(r.Bind1())(u)(function(i){return n.pure(r.Applicative0())(t(i))})}}},f=function(r){return function(t){return function(u){return i.bind(r.Bind1())(t)(function(t){return i.bind(r.Bind1())(u)(function(i){return n.pure(r.Applicative0())(t(i))})})}}};module.exports={Monad:r,liftM1:o,ap:f,whenM:t,unlessM:u,monadFn:e,monadArray:c}; +},{"../Control.Applicative/index.js":"qYya","../Control.Bind/index.js":"7VcT"}],"IpNh":[function(require,module,exports) { +"use strict";var t=function(t,n){this.Monad0=t,this.callCC=n},n=function(t){return t.callCC};module.exports={MonadCont:t,callCC:n}; +},{}],"YFBA":[function(require,module,exports) { +"use strict";exports.arrayExtend=function(n){return function(r){return r.map(function(r,t,e){return n(e.slice(t))})}}; +},{}],"JIoJ":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Control.Category/index.js"),t=require("../Data.Functor/index.js"),e=require("../Data.Semigroup/index.js"),u=function(n,r){this.Functor0=n,this.extend=r},i=function(n){return new u(function(){return t.functorFn},function(r){return function(t){return function(u){return r(function(r){return t(e.append(n)(u)(r))})}}})},o=new u(function(){return t.functorArray},n.arrayExtend),c=function(n){return n.extend},f=function(n){return function(r){return function(t){return c(n)(t)(r)}}},d=function(n){return c(n)(r.identity(r.categoryFn))},a=function(n){return function(r){return function(t){return function(e){return r(c(n)(t)(e))}}}},s=function(n){return function(r){return function(t){return function(e){return t(c(n)(r)(e))}}}};module.exports={Extend:u,extend:c,extendFlipped:f,composeCoKleisli:s,composeCoKleisliFlipped:a,duplicate:d,extendFn:i,extendArray:o}; +},{"./foreign.js":"YFBA","../Control.Category/index.js":"IAi2","../Data.Functor/index.js":"+0AE","../Data.Semigroup/index.js":"EsAJ"}],"kY6E":[function(require,module,exports) { +"use strict";exports.foldrArray=function(r){return function(n){return function(t){for(var u=n,o=t.length-1;o>=0;o--)u=r(t[o])(u);return u}}},exports.foldlArray=function(r){return function(n){return function(t){for(var u=n,o=t.length,e=0;e<o;e++)u=r(u)(t[e]);return u}}}; +},{}],"h7nC":[function(require,module,exports) { +"use strict";var r=function(r){return function(e){return r===e}};exports.eqBooleanImpl=r,exports.eqIntImpl=r,exports.eqNumberImpl=r,exports.eqCharImpl=r,exports.eqStringImpl=r,exports.eqArrayImpl=function(r){return function(e){return function(t){if(e===t)return!0;if(e.length!==t.length)return!1;for(var n=0;n<e.length;n++)if(!r(e[n])(t[n]))return!1;return!0}}}; +},{}],"Pq4F":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),e=require("../Data.Symbol/index.js"),r=require("../Record.Unsafe/index.js"),t=require("../Type.Data.RowList/index.js"),u=function(n){this.eqRecord=n},o=function(n){this.eq1=n},i=function(n){this.eq=n},c=new i(function(n){return function(n){return!0}}),q=new i(function(n){return function(n){return!0}}),f=new i(n.eqStringImpl),a=new u(function(n){return function(n){return function(n){return!0}}}),l=function(n){return n.eqRecord},w=function(n){return function(n){return new i(l(n)(t.RLProxy.value))}},s=new i(n.eqNumberImpl),m=new i(n.eqIntImpl),R=new i(n.eqCharImpl),d=new i(n.eqBooleanImpl),y=function(n){return n.eq1},p=function(n){return n.eq},I=function(e){return new i(n.eqArrayImpl(p(e)))},x=new o(function(n){return p(I(n))}),h=function(n){return function(o){return function(o){return function(i){return new u(function(u){return function(u){return function(c){var q=l(n)(t.RLProxy.value)(u)(c),f=e.reflectSymbol(o)(e.SProxy.value),a=r.unsafeGet(f);return p(i)(a(u))(a(c))&&q}}})}}}},v=function(n){return function(e){return function(r){return p(d)(p(n)(e)(r))(!1)}}},E=function(n){return function(e){return function(r){return function(t){return p(d)(y(n)(e)(r)(t))(!1)}}}};module.exports={Eq:i,eq:p,notEq:v,Eq1:o,eq1:y,notEq1:E,EqRecord:u,eqRecord:l,eqBoolean:d,eqInt:m,eqNumber:s,eqChar:R,eqString:f,eqUnit:q,eqVoid:c,eqArray:I,eqRec:w,eq1Array:x,eqRowNil:a,eqRowCons:h}; +},{"./foreign.js":"h7nC","../Data.Symbol/index.js":"4oJQ","../Record.Unsafe/index.js":"KG04","../Type.Data.RowList/index.js":"XaXP"}],"7fWM":[function(require,module,exports) { +"use strict";exports.boolConj=function(n){return function(o){return n&&o}},exports.boolDisj=function(n){return function(o){return n||o}},exports.boolNot=function(n){return!n}; +},{}],"ukdD":[function(require,module,exports) { +"use strict";var e=function(){function e(){}return e.value=new e,e}();module.exports={RProxy:e}; +},{}],"paZe":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Data.Symbol/index.js"),t=require("../Data.Unit/index.js"),e=require("../Record.Unsafe/index.js"),u=require("../Type.Data.Row/index.js"),o=require("../Type.Data.RowList/index.js"),i=function(n,r,t,e,u,o){this.conjRecord=n,this.disjRecord=r,this.ffRecord=t,this.impliesRecord=e,this.notRecord=u,this.ttRecord=o},c=function(n,r,t,e,u,o){this.conj=n,this.disj=r,this.ff=t,this.implies=e,this.not=u,this.tt=o},f=function(n){return n.ttRecord},a=function(n){return n.tt},l=function(n){return n.notRecord},s=function(n){return n.not},R=function(n){return n.impliesRecord},y=function(n){return n.implies},d=new c(function(n){return function(n){return t.unit}},function(n){return function(n){return t.unit}},t.unit,function(n){return function(n){return t.unit}},function(n){return t.unit},t.unit),v=new i(function(n){return function(n){return function(n){return{}}}},function(n){return function(n){return function(n){return{}}}},function(n){return 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function(i){var c=f(t)(o.RLProxy.value)(i),l=r.reflectSymbol(n)(r.SProxy.value);return e.unsafeSet(l)(a(u))(c)}})}}}};module.exports={HeytingAlgebra:c,tt:a,ff:j,implies:y,conj:m,disj:S,not:s,HeytingAlgebraRecord:i,ffRecord:x,ttRecord:f,impliesRecord:R,conjRecord:h,disjRecord:P,notRecord:l,heytingAlgebraBoolean:b,heytingAlgebraUnit:d,heytingAlgebraFunction:L,heytingAlgebraRecord:g,heytingAlgebraRecordNil:v,heytingAlgebraRecordCons:p}; +},{"./foreign.js":"7fWM","../Data.Symbol/index.js":"4oJQ","../Data.Unit/index.js":"NhVk","../Record.Unsafe/index.js":"KG04","../Type.Data.Row/index.js":"ukdD","../Type.Data.RowList/index.js":"XaXP"}],"lD5R":[function(require,module,exports) { +"use strict";var r=require("../Control.Alternative/index.js"),e=require("../Control.Applicative/index.js"),n=require("../Control.Monad/index.js"),t=require("../Control.Plus/index.js"),i=require("../Data.Unit/index.js"),o=function(r,e){this.Alternative1=r,this.Monad0=e},a=new o(function(){return r.alternativeArray},function(){return n.monadArray}),u=function(r){return function(n){if(n)return e.pure(r.Alternative1().Applicative0())(i.unit);if(!n)return t.empty(r.Alternative1().Plus1());throw new Error("Failed pattern match at Control.MonadZero (line 54, column 1 - line 54, column 52): "+[n.constructor.name])}};module.exports={MonadZero:o,guard:u,monadZeroArray:a}; +},{"../Control.Alternative/index.js":"aHia","../Control.Applicative/index.js":"qYya","../Control.Monad/index.js":"U/Ix","../Control.Plus/index.js":"oMBg","../Data.Unit/index.js":"NhVk"}],"0C+G":[function(require,module,exports) { +"use strict";exports.topInt=2147483647,exports.bottomInt=-2147483648,exports.topChar=String.fromCharCode(65535),exports.bottomChar=String.fromCharCode(0),exports.topNumber=Number.POSITIVE_INFINITY,exports.bottomNumber=Number.NEGATIVE_INFINITY; +},{}],"m7Aq":[function(require,module,exports) { +"use strict";var r=function(r){return function(n){return function(t){return function(o){return function(e){return o<e?r:o===e?n:t}}}}};exports.ordBooleanImpl=r,exports.ordIntImpl=r,exports.ordNumberImpl=r,exports.ordStringImpl=r,exports.ordCharImpl=r,exports.ordArrayImpl=function(r){return function(n){return function(t){for(var o=0,e=n.length,u=t.length;o<e&&o<u;){var p=n[o],i=t[o],f=r(p)(i);if(0!==f)return f;o++}return e===u?0:e>u?-1:1}}}; +},{}],"5Eun":[function(require,module,exports) { +"use strict";var n=require("../Data.Eq/index.js"),e=require("../Data.Semigroup/index.js"),r=require("../Data.Show/index.js"),t=function(){function n(){}return n.value=new n,n}(),i=function(){function n(){}return n.value=new n,n}(),o=function(){function n(){}return n.value=new n,n}(),u=new r.Show(function(n){if(n instanceof t)return"LT";if(n instanceof i)return"GT";if(n instanceof o)return"EQ";throw new Error("Failed pattern match at Data.Ordering (line 26, column 1 - line 29, column 17): "+[n.constructor.name])}),a=new e.Semigroup(function(n){return function(e){if(n instanceof t)return t.value;if(n instanceof i)return i.value;if(n instanceof o)return e;throw new Error("Failed pattern match at Data.Ordering (line 21, column 1 - line 24, column 18): "+[n.constructor.name,e.constructor.name])}}),c=function(n){if(n instanceof i)return t.value;if(n instanceof o)return o.value;if(n instanceof t)return i.value;throw new Error("Failed pattern match at Data.Ordering (line 33, column 1 - line 33, column 31): "+[n.constructor.name])},f=new n.Eq(function(n){return function(e){return n instanceof t&&e instanceof t||(n instanceof i&&e instanceof i||n instanceof o&&e instanceof o)}});module.exports={LT:t,GT:i,EQ:o,invert:c,eqOrdering:f,semigroupOrdering:a,showOrdering:u}; +},{"../Data.Eq/index.js":"Pq4F","../Data.Semigroup/index.js":"EsAJ","../Data.Show/index.js":"mFY7"}],"+BUG":[function(require,module,exports) { +"use strict";exports.intSub=function(n){return function(t){return n-t|0}},exports.numSub=function(n){return function(t){return n-t}}; +},{}],"Vm8y":[function(require,module,exports) { +"use strict";exports.intAdd=function(n){return function(t){return n+t|0}},exports.intMul=function(n){return function(t){return n*t|0}},exports.numAdd=function(n){return function(t){return n+t}},exports.numMul=function(n){return function(t){return n*t}}; +},{}],"11NF":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Data.Symbol/index.js"),e=require("../Data.Unit/index.js"),u=require("../Record.Unsafe/index.js"),t=require("../Type.Data.Row/index.js"),o=require("../Type.Data.RowList/index.js"),i=function(n,r,e,u){this.addRecord=n,this.mulRecord=r,this.oneRecord=e,this.zeroRecord=u},c=function(n,r,e,u){this.add=n,this.mul=r,this.one=e,this.zero=u},f=function(n){return n.zeroRecord},a=function(n){return n.zero},d=new c(function(n){return function(n){return e.unit}},function(n){return function(n){return e.unit}},e.unit,e.unit),l=new i(function(n){return function(n){return 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f=P(e)(o.RLProxy.value)(t)(i),a=r.reflectSymbol(n)(r.SProxy.value),d=u.unsafeSet(a),l=u.unsafeGet(a);return d(g(c)(l(t))(l(i)))(f)}}},function(t){return function(t){return function(i){var f=x(e)(o.RLProxy.value)(t)(i),a=r.reflectSymbol(n)(r.SProxy.value),d=u.unsafeSet(a),l=u.unsafeGet(a);return d(v(c)(l(t))(l(i)))(f)}}},function(i){return function(i){var f=m(e)(o.RLProxy.value)(t.RProxy.value),a=r.reflectSymbol(n)(r.SProxy.value);return u.unsafeSet(a)(y(c))(f)}},function(i){return function(i){var d=f(e)(o.RLProxy.value)(t.RProxy.value),l=r.reflectSymbol(n)(r.SProxy.value);return u.unsafeSet(l)(a(c))(d)}})}}}};module.exports={Semiring:c,add:g,zero:a,mul:v,one:y,SemiringRecord:i,addRecord:P,mulRecord:x,oneRecord:m,zeroRecord:f,semiringInt:R,semiringNumber:s,semiringFn:w,semiringUnit:d,semiringRecord:S,semiringRecordNil:l,semiringRecordCons:L}; +},{"./foreign.js":"Vm8y","../Data.Symbol/index.js":"4oJQ","../Data.Unit/index.js":"NhVk","../Record.Unsafe/index.js":"KG04","../Type.Data.Row/index.js":"ukdD","../Type.Data.RowList/index.js":"XaXP"}],"E2qH":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Data.Semiring/index.js"),e=require("../Data.Symbol/index.js"),i=require("../Data.Unit/index.js"),u=require("../Record.Unsafe/index.js"),t=require("../Type.Data.RowList/index.js"),o=function(n,r){this.SemiringRecord0=n,this.subRecord=r},c=function(n,r){this.Semiring0=n,this.sub=r},f=function(n){return n.subRecord},s=function(n){return n.sub},g=new c(function(){return r.semiringUnit},function(n){return function(n){return i.unit}}),m=new o(function(){return r.semiringRecordNil},function(n){return function(n){return function(n){return{}}}}),d=function(n){return function(i){return function(c){return function(g){return new o(function(){return 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+},{"./foreign.js":"+BUG","../Data.Semiring/index.js":"11NF","../Data.Symbol/index.js":"4oJQ","../Data.Unit/index.js":"NhVk","../Record.Unsafe/index.js":"KG04","../Type.Data.RowList/index.js":"XaXP"}],"r4Vb":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Data.Eq/index.js"),e=require("../Data.Ordering/index.js"),t=require("../Data.Ring/index.js"),u=require("../Data.Semiring/index.js"),o=require("../Data.Symbol/index.js"),i=require("../Record.Unsafe/index.js"),c=require("../Type.Data.RowList/index.js"),a=function(n,r){this.EqRecord0=n,this.compareRecord=r},f=function(n,r){this.Eq10=n,this.compare1=r},l=function(n,r){this.Eq0=n,this.compare=r},s=new l(function(){return r.eqVoid},function(n){return function(n){return e.EQ.value}}),d=new l(function(){return r.eqUnit},function(n){return function(n){return e.EQ.value}}),m=new l(function(){return r.eqString},n.ordStringImpl(e.LT.value)(e.EQ.value)(e.GT.value)),T=new a(function(){return r.eqRowNil},function(n){return function(n){return function(n){return e.EQ.value}}}),v=new l(function(){return e.eqOrdering},function(n){return function(r){if(n instanceof e.LT&&r instanceof e.LT)return e.EQ.value;if(n instanceof e.EQ&&r instanceof e.EQ)return e.EQ.value;if(n instanceof e.GT&&r instanceof e.GT)return e.EQ.value;if(n instanceof e.LT)return e.LT.value;if(n instanceof e.EQ&&r instanceof e.LT)return e.GT.value;if(n instanceof e.EQ&&r instanceof e.GT)return e.LT.value;if(n instanceof e.GT)return e.GT.value;throw new Error("Failed pattern match at Data.Ord (line 112, column 1 - line 119, column 21): "+[n.constructor.name,r.constructor.name])}}),E=new l(function(){return r.eqNumber},n.ordNumberImpl(e.LT.value)(e.EQ.value)(e.GT.value)),q=new l(function(){return r.eqInt},n.ordIntImpl(e.LT.value)(e.EQ.value)(e.GT.value)),w=new l(function(){return r.eqChar},n.ordCharImpl(e.LT.value)(e.EQ.value)(e.GT.value)),p=new l(function(){return r.eqBoolean},n.ordBooleanImpl(e.LT.value)(e.EQ.value)(e.GT.value)),h=function(n){return n.compareRecord},g=function(n){return function(e){return new l(function(){return r.eqRec(n)(e.EqRecord0())},h(e)(c.RLProxy.value))}},L=function(n){return n.compare1},Q=function(n){return n.compare},G=function(n){return function(r){return function(e){return function(t){return Q(n)(r(e))(r(t))}}}},R=function(n){return function(r){return function(t){return Q(n)(r)(t)instanceof e.GT}}},O=function(n){return function(r){return function(t){return!(Q(n)(r)(t)instanceof e.LT)}}},x=function(n){return function(r){return function(e){return O(n)(e)(u.zero(r.Semiring0()))?u.one(r.Semiring0()):t.negate(r)(u.one(r.Semiring0()))}}},y=function(n){return function(r){return function(t){return Q(n)(r)(t)instanceof e.LT}}},S=function(n){return function(r){return function(t){return!(Q(n)(r)(t)instanceof e.GT)}}},D=function(n){return function(r){return function(t){var u=Q(n)(r)(t);if(u instanceof e.LT)return t;if(u instanceof e.EQ)return r;if(u instanceof e.GT)return r;throw new Error("Failed pattern match at Data.Ord (line 167, column 3 - line 170, column 12): "+[u.constructor.name])}}},I=function(n){return function(r){return function(t){var u=Q(n)(r)(t);if(u instanceof e.LT)return r;if(u instanceof e.EQ)return r;if(u instanceof e.GT)return t;throw new Error("Failed pattern match at Data.Ord (line 158, column 3 - line 161, column 12): "+[u.constructor.name])}}},j=function(t){return new l(function(){return r.eqArray(t.Eq0())},(u=function(n){return function(r){var u=Q(t)(n)(r);if(u instanceof e.EQ)return 0;if(u instanceof e.LT)return 1;if(u instanceof e.GT)return-1;throw new Error("Failed pattern match at Data.Ord (line 65, column 7 - line 68, column 17): "+[u.constructor.name])}},function(r){return function(e){return Q(q)(0)(n.ordArrayImpl(u)(r)(e))}}));var u},b=new f(function(){return r.eq1Array},function(n){return Q(j(n))}),A=function(n){return function(t){return function(u){return function(f){return new a(function(){return r.eqRowCons(n.EqRecord0())(t)(u)(f.Eq0())},function(t){return function(t){return function(a){var l=o.reflectSymbol(u)(o.SProxy.value),s=Q(f)(i.unsafeGet(l)(t))(i.unsafeGet(l)(a));return r.notEq(e.eqOrdering)(s)(e.EQ.value)?s:h(n)(c.RLProxy.value)(t)(a)}}})}}}},C=function(n){return function(r){return function(e){return function(t){return I(n)(e)(D(n)(r)(t))}}}},N=function(n){return function(r){return function(e){return function(t){return!y(n)(t)(r)&&!R(n)(t)(e)}}}},F=function(n){return function(r){return function(e){return O(n)(e)(u.zero(r.Semiring0()))?e:t.negate(r)(e)}}};module.exports={Ord:l,compare:Q,Ord1:f,compare1:L,lessThan:y,lessThanOrEq:S,greaterThan:R,greaterThanOrEq:O,comparing:G,min:I,max:D,clamp:C,between:N,abs:F,signum:x,OrdRecord:a,compareRecord:h,ordBoolean:p,ordInt:q,ordNumber:E,ordString:m,ordChar:w,ordUnit:d,ordVoid:s,ordArray:j,ordOrdering:v,ord1Array:b,ordRecordNil:T,ordRecordCons:A,ordRecord:g}; +},{"./foreign.js":"m7Aq","../Data.Eq/index.js":"Pq4F","../Data.Ordering/index.js":"5Eun","../Data.Ring/index.js":"E2qH","../Data.Semiring/index.js":"11NF","../Data.Symbol/index.js":"4oJQ","../Record.Unsafe/index.js":"KG04","../Type.Data.RowList/index.js":"XaXP"}],"kcUU":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),t=require("../Data.Ord/index.js"),r=require("../Data.Ordering/index.js"),e=require("../Data.Unit/index.js"),o=function(n,t,r){this.Ord0=n,this.bottom=t,this.top=r},u=function(n){return n.top},d=new o(function(){return t.ordUnit},e.unit,e.unit),i=new o(function(){return t.ordOrdering},r.LT.value,r.GT.value),b=new o(function(){return t.ordNumber},n.bottomNumber,n.topNumber),a=new o(function(){return t.ordInt},n.bottomInt,n.topInt),m=new o(function(){return t.ordChar},n.bottomChar,n.topChar),c=new o(function(){return t.ordBoolean},!1,!0),f=function(n){return n.bottom};module.exports={Bounded:o,bottom:f,top:u,boundedBoolean:c,boundedInt:a,boundedChar:m,boundedOrdering:i,boundedUnit:d,boundedNumber:b}; +},{"./foreign.js":"0C+G","../Data.Ord/index.js":"r4Vb","../Data.Ordering/index.js":"5Eun","../Data.Unit/index.js":"NhVk"}],"AXkC":[function(require,module,exports) { +"use strict";var n=require("../Data.Functor/index.js"),r=function(n){this.imap=n},t=new r(function(n){return function(r){return function(r){return n(r)}}}),i=new r(function(n){return function(r){return function(t){return function(i){return n(t(r(i)))}}}}),u=new r(function(n){return function(r){return function(r){return n(r)}}}),e=new r(function(n){return function(r){return function(r){return n(r)}}}),o=new r(function(n){return function(r){return function(r){return n(r)}}}),a=new r(function(n){return function(r){return function(r){return n(r)}}}),c=function(r){return function(t){return function(i){return n.map(r)(t)}}},f=new r(c(n.functorArray)),v=new r(c(n.functorFn)),w=function(n){return n.imap};module.exports={imap:w,Invariant:r,imapF:c,invariantFn:v,invariantArray:f,invariantAdditive:a,invariantConj:o,invariantDisj:e,invariantDual:u,invariantEndo:i,invariantMultiplicative:t}; +},{"../Data.Functor/index.js":"+0AE"}],"8EBw":[function(require,module,exports) { +"use strict";exports.intDegree=function(t){return Math.min(Math.abs(t),2147483647)},exports.intDiv=function(t){return function(n){return 0===n?0:n>0?Math.floor(t/n):-Math.floor(t/-n)}},exports.intMod=function(t){return function(n){if(0===n)return 0;var r=Math.abs(n);return(t%r+r)%r}},exports.numDiv=function(t){return function(n){return t/n}}; +},{}],"60TQ":[function(require,module,exports) { +"use strict";var n=require("../Data.Ring/index.js"),t=function(n){this.RingRecord0=n},i=function(n){this.Ring0=n},r=new i(function(){return n.ringUnit}),e=new t(function(){return n.ringRecordNil}),u=function(i){return function(r){return function(e){return function(u){return new t(function(){return n.ringRecordCons(i)(r)(e.RingRecord0())(u.Ring0())})}}}},o=function(t){return function(r){return new i(function(){return n.ringRecord(t)(r.RingRecord0())})}},c=new i(function(){return n.ringNumber}),R=new i(function(){return n.ringInt}),g=function(t){return new i(function(){return n.ringFn(t.Ring0())})};module.exports={CommutativeRing:i,CommutativeRingRecord:t,commutativeRingInt:R,commutativeRingNumber:c,commutativeRingUnit:r,commutativeRingFn:g,commutativeRingRecord:o,commutativeRingRecordNil:e,commutativeRingRecordCons:u}; +},{"../Data.Ring/index.js":"E2qH"}],"2IRB":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),i=require("../Data.CommutativeRing/index.js"),e=require("../Data.Eq/index.js"),t=require("../Data.Semiring/index.js"),r=function(n,i,e,t){this.CommutativeRing0=n,this.degree=i,this.div=e,this.mod=t},u=function(n){return n.mod},o=function(n){return function(i){return function(r){return function(o){var m,g=n,c=i,f=r,a=!1;function d(n,i,r,m){if(e.eq(n)(m)(t.zero(i.CommutativeRing0().Ring0().Semiring0())))return a=!0,r;g=n,c=i,f=m,o=u(i)(r)(m)}for(;!a;)m=d(g,c,f,o);return m}}}},m=new r(function(){return i.commutativeRingNumber},function(n){return 1},n.numDiv,function(n){return function(n){return 0}}),g=new r(function(){return i.commutativeRingInt},n.intDegree,n.intDiv,n.intMod),c=function(n){return n.div},f=function(n){return function(i){return function(r){return function(u){return e.eq(n)(r)(t.zero(i.CommutativeRing0().Ring0().Semiring0()))||e.eq(n)(u)(t.zero(i.CommutativeRing0().Ring0().Semiring0()))?t.zero(i.CommutativeRing0().Ring0().Semiring0()):c(i)(t.mul(i.CommutativeRing0().Ring0().Semiring0())(r)(u))(o(n)(i)(r)(u))}}}},a=function(n){return n.degree};module.exports={EuclideanRing:r,degree:a,div:c,mod:u,gcd:o,lcm:f,euclideanRingInt:g,euclideanRingNumber:m}; +},{"./foreign.js":"8EBw","../Data.CommutativeRing/index.js":"60TQ","../Data.Eq/index.js":"Pq4F","../Data.Semiring/index.js":"11NF"}],"TiEB":[function(require,module,exports) { +"use strict";var n=require("../Data.Boolean/index.js"),r=require("../Data.EuclideanRing/index.js"),e=require("../Data.Ordering/index.js"),i=require("../Data.Semigroup/index.js"),o=require("../Data.Symbol/index.js"),t=require("../Data.Unit/index.js"),u=require("../Record.Unsafe/index.js"),c=require("../Type.Data.RowList/index.js"),d=function(n,r){this.SemigroupRecord0=n,this.memptyRecord=r},m=function(n,r){this.Semigroup0=n,this.mempty=r},a=new m(function(){return i.semigroupUnit},t.unit),f=new m(function(){return i.semigroupString},""),p=new d(function(){return i.semigroupRecordNil},function(n){return{}}),s=new m(function(){return e.semigroupOrdering},e.EQ.value),g=new m(function(){return i.semigroupArray},[]),l=function(n){return n.memptyRecord},R=function(n){return function(r){return new m(function(){return i.semigroupRecord(n)(r.SemigroupRecord0())},l(r)(c.RLProxy.value))}},S=function(n){return n.mempty},w=function(n){return new m(function(){return i.semigroupFn(n.Semigroup0())},function(r){return S(n)})},y=function(n){return function(r){return function(e){return function(t){return new d(function(){return i.semigroupRecordCons(n)(e)(t.SemigroupRecord0())(r.Semigroup0())},function(e){var i=l(t)(c.RLProxy.value),d=o.reflectSymbol(n)(o.SProxy.value);return u.unsafeSet(d)(S(r))(i)})}}}},x=function(e){return function(o){return function t(u){if(u<=0)return S(e);if(1===u)return o;if(0===r.mod(r.euclideanRingInt)(u)(2)){var c=t(r.div(r.euclideanRingInt)(u)(2));return i.append(e.Semigroup0())(c)(c)}if(n.otherwise)return c=t(r.div(r.euclideanRingInt)(u)(2)),i.append(e.Semigroup0())(c)(i.append(e.Semigroup0())(c)(o));throw new Error("Failed pattern match at Data.Monoid (line 65, column 3 - line 65, column 17): "+[u.constructor.name])}}},h=function(n){return function(r){return function(e){if(r)return e;if(!r)return S(n);throw new Error("Failed pattern match at Data.Monoid (line 73, column 1 - line 73, column 49): "+[r.constructor.name,e.constructor.name])}}};module.exports={Monoid:m,mempty:S,power:x,guard:h,MonoidRecord:d,memptyRecord:l,monoidUnit:a,monoidOrdering:s,monoidFn:w,monoidString:f,monoidArray:g,monoidRecord:R,monoidRecordNil:p,monoidRecordCons:y}; +},{"../Data.Boolean/index.js":"ObQr","../Data.EuclideanRing/index.js":"2IRB","../Data.Ordering/index.js":"5Eun","../Data.Semigroup/index.js":"EsAJ","../Data.Symbol/index.js":"4oJQ","../Data.Unit/index.js":"NhVk","../Record.Unsafe/index.js":"KG04","../Type.Data.RowList/index.js":"XaXP"}],"5mN7":[function(require,module,exports) { +"use strict";var n=require("../Control.Alt/index.js"),e=require("../Control.Alternative/index.js"),t=require("../Control.Applicative/index.js"),r=require("../Control.Apply/index.js"),u=require("../Control.Bind/index.js"),o=require("../Control.Category/index.js"),i=require("../Control.Extend/index.js"),a=require("../Control.Monad/index.js"),c=require("../Control.MonadZero/index.js"),f=require("../Control.Plus/index.js"),l=require("../Data.Bounded/index.js"),s=require("../Data.Eq/index.js"),d=require("../Data.Function/index.js"),m=require("../Data.Functor/index.js"),w=require("../Data.Functor.Invariant/index.js"),y=require("../Data.Monoid/index.js"),p=require("../Data.Ord/index.js"),v=require("../Data.Ordering/index.js"),M=require("../Data.Semigroup/index.js"),b=require("../Data.Show/index.js"),q=require("../Data.Unit/index.js"),x=function(){function n(){}return n.value=new n,n}(),h=function(){function n(n){this.value0=n}return n.create=function(e){return new n(e)},n}(),j=function(n){return new b.Show(function(e){if(e instanceof h)return"(Just "+b.show(n)(e.value0)+")";if(e instanceof x)return"Nothing";throw new Error("Failed pattern match at Data.Maybe (line 205, column 1 - line 207, column 28): "+[e.constructor.name])})},D=function(n){return new M.Semigroup(function(e){return function(t){if(e instanceof x)return t;if(t instanceof x)return e;if(e instanceof h&&t instanceof h)return new h(M.append(n)(e.value0)(t.value0));throw new Error("Failed pattern match at Data.Maybe (line 174, column 1 - line 177, column 43): "+[e.constructor.name,t.constructor.name])}})},F=function(e){return function(r){return n.alt(e.Plus1().Alt0())(m.map(e.Plus1().Alt0().Functor0())(h.create)(r))(t.pure(e.Applicative0())(x.value))}},E=function(n){return new y.Monoid(function(){return D(n)},x.value)},A=function(n){return function(e){return function(t){if(t instanceof x)return n(q.unit);if(t instanceof h)return e(t.value0);throw new Error("Failed pattern match at Data.Maybe (line 230, column 1 - line 230, column 62): "+[n.constructor.name,e.constructor.name,t.constructor.name])}}},C=function(n){return function(e){return function(t){if(t instanceof x)return n;if(t instanceof h)return e(t.value0);throw new Error("Failed pattern match at Data.Maybe (line 217, column 1 - line 217, column 51): "+[n.constructor.name,e.constructor.name,t.constructor.name])}}},g=C(!0)(d.const(!1)),O=C(!1)(d.const(!0)),B=new m.Functor(function(n){return function(e){return e instanceof h?new h(n(e.value0)):x.value}}),J=new w.Invariant(w.imapF(B)),P=function(n){return A(n)(o.identity(o.categoryFn))},S=function(n){return C(n)(o.identity(o.categoryFn))},N=function(n){return function(n){if(n instanceof h)return n.value0;throw new Error("Failed pattern match at Data.Maybe (line 268, column 1 - line 268, column 46): "+[n.constructor.name])}},Z=new i.Extend(function(){return B},function(n){return function(e){return e instanceof x?x.value:new h(n(e))}}),I=function(n){return new s.Eq(function(e){return function(t){return e instanceof x&&t instanceof x||e instanceof h&&t instanceof h&&s.eq(n)(e.value0)(t.value0)}})},T=function(n){return new p.Ord(function(){return I(n.Eq0())},function(e){return function(t){if(e instanceof x&&t instanceof x)return v.EQ.value;if(e instanceof x)return v.LT.value;if(t instanceof x)return v.GT.value;if(e instanceof h&&t instanceof h)return p.compare(n)(e.value0)(t.value0);throw new Error("Failed pattern match at Data.Maybe (line 194, column 1 - line 194, column 51): "+[e.constructor.name,t.constructor.name])}})},G=new s.Eq1(function(n){return s.eq(I(n))}),L=new p.Ord1(function(){return G},function(n){return p.compare(T(n))}),Q=function(n){return new l.Bounded(function(){return T(n.Ord0())},x.value,new h(l.top(n)))},U=new r.Apply(function(){return B},function(n){return function(e){if(n instanceof h)return m.map(B)(n.value0)(e);if(n instanceof x)return x.value;throw new Error("Failed pattern match at Data.Maybe (line 67, column 1 - line 69, column 30): 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n=require("../Control.Applicative/index.js"),r=require("../Control.Apply/index.js"),t=require("../Control.Bind/index.js"),e=require("../Control.Monad/index.js"),i=require("../Data.Eq/index.js"),u=require("../Data.Functor/index.js"),o=require("../Data.Ord/index.js"),c=require("../Data.Semigroup/index.js"),s=require("../Data.Show/index.js"),f=function(n){return n},d=function(n){return new s.Show(function(r){return"(First "+s.show(n)(r)+")"})},a=new c.Semigroup(function(n){return function(r){return n}}),p=function(n){return n},F=new u.Functor(function(n){return function(r){return n(r)}}),q=function(n){return n},w=new i.Eq1(function(n){return i.eq(q(n))}),l=new o.Ord1(function(){return w},function(n){return o.compare(p(n))}),x=function(n){return n},j=new r.Apply(function(){return F},function(n){return function(r){return n(r)}}),m=new t.Bind(function(){return j},function(n){return function(r){return r(n)}}),D=new n.Applicative(function(){return j},f),h=new e.Monad(function(){return 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n=require("../Control.Biapplicative/index.js"),r=require("../Control.Biapply/index.js"),i=require("../Data.Bifunctor/index.js"),t=require("../Data.Functor/index.js"),e=require("../Data.Newtype/index.js"),u=require("../Data.Show/index.js"),o=function(n){return n},p=function(n){return new u.Show(function(r){return"(Flip "+u.show(n)(r)+")"})},c=function(n){return n},f=new e.Newtype(function(n){return n},o),a=function(n){return new t.Functor(function(r){return function(t){return i.lmap(n)(r)(t)}})},l=function(n){return n},w=function(n){return new i.Bifunctor(function(r){return function(t){return function(e){return i.bimap(n)(t)(r)(e)}}})},F=function(n){return new r.Biapply(function(){return w(n.Bifunctor0())},function(i){return function(t){return r.biapply(n)(i)(t)}})},s=function(r){return new n.Biapplicative(function(){return F(r.Biapply0())},function(i){return function(t){return 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n=require("../Control.Biapplicative/index.js"),u=require("../Control.Biapply/index.js"),r=require("../Data.Bifunctor/index.js"),e=require("../Data.Eq/index.js"),t=require("../Data.Ord/index.js"),i=require("../Data.Ordering/index.js"),o=require("../Data.Show/index.js"),c=function(){function n(n,u){this.value0=n,this.value1=u}return n.create=function(u){return function(r){return new n(u,r)}},n}(),a=function(n){return function(u){return new o.Show(function(r){return"(Product "+o.show(n)(r.value0)+" "+o.show(u)(r.value1)+")"})}},f=function(n){return function(u){return new e.Eq(function(r){return function(t){return e.eq(n)(r.value0)(t.value0)&&e.eq(u)(r.value1)(t.value1)}})}},l=function(n){return function(u){return new t.Ord(function(){return f(n.Eq0())(u.Eq0())},function(r){return function(e){var o=t.compare(n)(r.value0)(e.value0);return o instanceof i.LT?i.LT.value:o instanceof i.GT?i.GT.value:t.compare(u)(r.value1)(e.value1)}})}},p=function(n){return function(u){return new r.Bifunctor(function(e){return function(t){return function(i){return new c(r.bimap(n)(e)(t)(i.value0),r.bimap(u)(e)(t)(i.value1))}}})}},v=function(n){return function(r){return new u.Biapply(function(){return p(n.Bifunctor0())(r.Bifunctor0())},function(e){return function(t){return new c(u.biapply(n)(e.value0)(t.value0),u.biapply(r)(e.value1)(t.value1))}})}},d=function(u){return function(r){return new n.Biapplicative(function(){return v(u.Biapply0())(r.Biapply0())},function(e){return function(t){return new c(n.bipure(u)(e)(t),n.bipure(r)(e)(t))}})}};module.exports={Product:c,eqProduct:f,ordProduct:l,showProduct:a,bifunctorProduct:p,biapplyProduct:v,biapplicativeProduct:d}; +},{"../Control.Biapplicative/index.js":"Sd0N","../Control.Biapply/index.js":"X0ga","../Data.Bifunctor/index.js":"e2Wc","../Data.Eq/index.js":"Pq4F","../Data.Ord/index.js":"r4Vb","../Data.Ordering/index.js":"5Eun","../Data.Show/index.js":"mFY7"}],"U78Q":[function(require,module,exports) { +"use strict";var n=require("../Control.Biapplicative/index.js"),r=require("../Control.Biapply/index.js"),t=require("../Data.Bifunctor/index.js"),e=require("../Data.Functor/index.js"),u=require("../Data.Newtype/index.js"),i=require("../Data.Show/index.js"),o=function(n){return n},p=function(n){return new i.Show(function(r){return"(Wrap "+i.show(n)(r)+")"})},a=function(n){return n},c=new u.Newtype(function(n){return n},o),f=function(n){return new e.Functor(function(r){return function(e){return t.rmap(n)(r)(e)}})},w=function(n){return n},l=function(n){return new t.Bifunctor(function(r){return function(e){return function(u){return t.bimap(n)(r)(e)(u)}}})},s=function(n){return new r.Biapply(function(){return l(n.Bifunctor0())},function(t){return function(e){return r.biapply(n)(t)(e)}})},W=function(r){return new n.Biapplicative(function(){return s(r.Biapply0())},function(t){return function(e){return n.bipure(r)(t)(e)}})};module.exports={Wrap:o,newtypeWrap:c,eqWrap:w,ordWrap:a,showWrap:p,functorWrap:f,bifunctorWrap:l,biapplyWrap:s,biapplicativeWrap:W}; +},{"../Control.Biapplicative/index.js":"Sd0N","../Control.Biapply/index.js":"X0ga","../Data.Bifunctor/index.js":"e2Wc","../Data.Functor/index.js":"+0AE","../Data.Newtype/index.js":"lz8k","../Data.Show/index.js":"mFY7"}],"oRQn":[function(require,module,exports) { +"use strict";exports.traverseArrayImpl=function(){function n(n){return[n]}function r(n){return function(r){return[n,r]}}function t(n){return function(r){return function(t){return[n,r,t]}}}function u(n){return function(r){return n.concat(r)}}return function(e){return function(c){return function(o){return function(f){return function(i){return function a(s,l){switch(l-s){case 0:return o([]);case 1:return c(n)(f(i[s]));case 2:return e(c(r)(f(i[s])))(f(i[s+1]));case 3:return e(e(c(t)(f(i[s])))(f(i[s+1])))(f(i[s+2]));default:var h=s+2*Math.floor((l-s)/4);return e(c(u)(a(s,h)))(a(h,l))}}(0,i.length)}}}}}}(); +},{}],"W/l6":[function(require,module,exports) { +"use strict";var e=require("../Control.Alt/index.js"),n=require("../Control.Alternative/index.js"),r=require("../Control.MonadZero/index.js"),t=require("../Control.Plus/index.js"),i=require("../Data.Maybe/index.js"),o=require("../Data.Monoid/index.js"),u=require("../Data.Newtype/index.js"),a=require("../Data.Semigroup/index.js"),s=require("../Data.Show/index.js"),d=function(e){return e},c=function(e){return new s.Show(function(n){return"First ("+s.show(i.showMaybe(e))(n)+")"})},F=new a.Semigroup(function(e){return function(n){return e instanceof i.Just?e:n}}),y=function(e){return i.ordMaybe(e)},f=i.ord1Maybe,l=new u.Newtype(function(e){return e},d),p=new o.Monoid(function(){return F},i.Nothing.value),b=i.monadMaybe,M=i.invariantMaybe,w=i.functorMaybe,q=i.extendMaybe,x=function(e){return i.eqMaybe(e)},m=i.eq1Maybe,j=function(e){return i.boundedMaybe(e)},v=i.bindMaybe,h=i.applyMaybe,D=i.applicativeMaybe,g=new e.Alt(function(){return w},a.append(F)),A=new t.Plus(function(){return g},o.mempty(p)),C=new n.Alternative(function(){return D},function(){return A}),S=new r.MonadZero(function(){return C},function(){return b});module.exports={First:d,newtypeFirst:l,eqFirst:x,eq1First:m,ordFirst:y,ord1First:f,boundedFirst:j,functorFirst:w,invariantFirst:M,applyFirst:h,applicativeFirst:D,bindFirst:v,monadFirst:b,extendFirst:q,showFirst:c,semigroupFirst:F,monoidFirst:p,altFirst:g,plusFirst:A,alternativeFirst:C,monadZeroFirst:S}; +},{"../Control.Alt/index.js":"lN+m","../Control.Alternative/index.js":"aHia","../Control.MonadZero/index.js":"lD5R","../Control.Plus/index.js":"oMBg","../Data.Maybe/index.js":"5mN7","../Data.Monoid/index.js":"TiEB","../Data.Newtype/index.js":"lz8k","../Data.Semigroup/index.js":"EsAJ","../Data.Show/index.js":"mFY7"}],"aQky":[function(require,module,exports) { +"use strict";var e=require("../Control.Alt/index.js"),n=require("../Control.Alternative/index.js"),t=require("../Control.MonadZero/index.js"),r=require("../Control.Plus/index.js"),a=require("../Data.Maybe/index.js"),o=require("../Data.Monoid/index.js"),i=require("../Data.Newtype/index.js"),u=require("../Data.Semigroup/index.js"),s=require("../Data.Show/index.js"),d=function(e){return e},c=function(e){return new s.Show(function(n){return"(Last "+s.show(a.showMaybe(e))(n)+")"})},l=new u.Semigroup(function(e){return function(n){if(n instanceof a.Just)return n;if(n instanceof a.Nothing)return e;throw new Error("Failed pattern match at Data.Maybe.Last (line 52, column 1 - line 54, column 36): "+[e.constructor.name,n.constructor.name])}}),L=function(e){return a.ordMaybe(e)},f=a.ord1Maybe,y=new i.Newtype(function(e){return e},d),p=new o.Monoid(function(){return l},a.Nothing.value),b=a.monadMaybe,M=a.invariantMaybe,w=a.functorMaybe,m=a.extendMaybe,q=function(e){return a.eqMaybe(e)},x=a.eq1Maybe,h=function(e){return a.boundedMaybe(e)},j=a.bindMaybe,v=a.applyMaybe,D=a.applicativeMaybe,g=new e.Alt(function(){return w},u.append(l)),A=new r.Plus(function(){return g},o.mempty(p)),C=new n.Alternative(function(){return D},function(){return A}),N=new t.MonadZero(function(){return C},function(){return b});module.exports={Last:d,newtypeLast:y,eqLast:q,eq1Last:x,ordLast:L,ord1Last:f,boundedLast:h,functorLast:w,invariantLast:M,applyLast:v,applicativeLast:D,bindLast:j,monadLast:b,extendLast:m,showLast:c,semigroupLast:l,monoidLast:p,altLast:g,plusLast:A,alternativeLast:C,monadZeroLast:N}; +},{"../Control.Alt/index.js":"lN+m","../Control.Alternative/index.js":"aHia","../Control.MonadZero/index.js":"lD5R","../Control.Plus/index.js":"oMBg","../Data.Maybe/index.js":"5mN7","../Data.Monoid/index.js":"TiEB","../Data.Newtype/index.js":"lz8k","../Data.Semigroup/index.js":"EsAJ","../Data.Show/index.js":"mFY7"}],"LbSr":[function(require,module,exports) { +"use strict";var n=require("../Control.Applicative/index.js"),t=require("../Control.Apply/index.js"),u=require("../Data.Functor/index.js"),e=function(n){return n},r=function(n){return n},c=function(n){return n},a=function(n){return n},i=new u.Functor(function(n){return function(t){return function(u){var e=c(t)(u);return{accum:e.accum,value:n(e.value)}}}}),o=new u.Functor(function(n){return function(t){return function(u){var e=a(t)(u);return{accum:e.accum,value:n(e.value)}}}}),f=new t.Apply(function(){return i},function(n){return function(t){return function(u){var e=c(t)(u),r=c(n)(e.accum);return{accum:r.accum,value:r.value(e.value)}}}}),l=new t.Apply(function(){return o},function(n){return function(t){return function(u){var e=a(n)(u),r=a(t)(e.accum);return{accum:r.accum,value:e.value(r.value)}}}}),v=new n.Applicative(function(){return f},function(n){return function(t){return{accum:t,value:n}}}),p=new n.Applicative(function(){return l},function(n){return function(t){return{accum:t,value:n}}});module.exports={StateL:r,stateL:a,StateR:e,stateR:c,functorStateL:o,applyStateL:l,applicativeStateL:p,functorStateR:i,applyStateR:f,applicativeStateR:v}; +},{"../Control.Applicative/index.js":"qYya","../Control.Apply/index.js":"QcLv","../Data.Functor/index.js":"+0AE"}],"n7EE":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Control.Applicative/index.js"),t=require("../Control.Apply/index.js"),u=require("../Control.Category/index.js"),e=require("../Data.Foldable/index.js"),i=require("../Data.Functor/index.js"),o=require("../Data.Maybe/index.js"),c=require("../Data.Maybe.First/index.js"),a=require("../Data.Maybe.Last/index.js"),f=require("../Data.Monoid.Additive/index.js"),l=require("../Data.Monoid.Conj/index.js"),p=require("../Data.Monoid.Disj/index.js"),s=require("../Data.Monoid.Dual/index.js"),d=require("../Data.Monoid.Multiplicative/index.js"),v=require("../Data.Traversable.Accum.Internal/index.js"),m=function(n,r,t,u){this.Foldable1=n,this.Functor0=r,this.sequence=t,this.traverse=u},y=function(n){return n.traverse},A=new m(function(){return e.foldableMultiplicative},function(){return d.functorMultiplicative},function(n){return function(r){return i.map(n.Apply0().Functor0())(d.Multiplicative)(r)}},function(n){return function(r){return function(t){return i.map(n.Apply0().Functor0())(d.Multiplicative)(r(t))}}}),F=new m(function(){return e.foldableMaybe},function(){return o.functorMaybe},function(n){return function(t){if(t instanceof o.Nothing)return r.pure(n)(o.Nothing.value);if(t instanceof o.Just)return i.map(n.Apply0().Functor0())(o.Just.create)(t.value0);throw new Error("Failed pattern match at Data.Traversable (line 86, column 1 - line 90, column 33): "+[t.constructor.name])}},function(n){return function(t){return function(u){if(u instanceof o.Nothing)return r.pure(n)(o.Nothing.value);if(u instanceof o.Just)return i.map(n.Apply0().Functor0())(o.Just.create)(t(u.value0));throw new Error("Failed pattern match at Data.Traversable (line 86, column 1 - line 90, column 33): "+[t.constructor.name,u.constructor.name])}}}),b=new m(function(){return e.foldableDual},function(){return s.functorDual},function(n){return function(r){return i.map(n.Apply0().Functor0())(s.Dual)(r)}},function(n){return function(r){return function(t){return i.map(n.Apply0().Functor0())(s.Dual)(r(t))}}}),j=new m(function(){return e.foldableDisj},function(){return p.functorDisj},function(n){return function(r){return i.map(n.Apply0().Functor0())(p.Disj)(r)}},function(n){return function(r){return function(t){return i.map(n.Apply0().Functor0())(p.Disj)(r(t))}}}),D=new m(function(){return e.foldableConj},function(){return l.functorConj},function(n){return function(r){return i.map(n.Apply0().Functor0())(l.Conj)(r)}},function(n){return function(r){return function(t){return i.map(n.Apply0().Functor0())(l.Conj)(r(t))}}}),q=new m(function(){return e.foldableAdditive},function(){return f.functorAdditive},function(n){return function(r){return i.map(n.Apply0().Functor0())(f.Additive)(r)}},function(n){return function(r){return function(t){return i.map(n.Apply0().Functor0())(f.Additive)(r(t))}}}),M=function(n){return function(r){return y(n)(r)(u.identity(u.categoryFn))}},x=new m(function(){return e.foldableArray},function(){return i.functorArray},function(n){return M(x)(n)},function(u){return n.traverseArrayImpl(t.apply(u.Apply0()))(i.map(u.Apply0().Functor0()))(r.pure(u))}),w=function(n){return n.sequence},h=new m(function(){return e.foldableFirst},function(){return c.functorFirst},function(n){return function(r){return i.map(n.Apply0().Functor0())(c.First)(w(F)(n)(r))}},function(n){return function(r){return function(t){return i.map(n.Apply0().Functor0())(c.First)(y(F)(n)(r)(t))}}}),C=new m(function(){return e.foldableLast},function(){return a.functorLast},function(n){return function(r){return i.map(n.Apply0().Functor0())(a.Last)(w(F)(n)(r))}},function(n){return function(r){return function(t){return i.map(n.Apply0().Functor0())(a.Last)(y(F)(n)(r)(t))}}}),L=function(n){return function(r){return function(t){return function(u){return w(n)(r)(i.map(n.Functor0())(t)(u))}}}},g=function(n){return function(r){return function(t){return function(u){return v.stateR(y(n)(v.applicativeStateR)(function(n){return function(t){return r(t)(n)}})(u))(t)}}}},J=function(n){return function(r){return function(t){return function(u){return g(n)(function(n){return function(t){var u=r(t)(n);return{accum:u,value:u}}})(t)(u).value}}}},N=function(n){return function(r){return function(t){return function(u){return v.stateL(y(n)(v.applicativeStateL)(function(n){return function(t){return r(t)(n)}})(u))(t)}}}},T=function(n){return function(r){return function(t){return function(u){return N(n)(function(n){return function(t){var u=r(n)(t);return{accum:u,value:u}}})(t)(u).value}}}},R=function(n){return function(r){return function(t){return function(u){return y(r)(n)(u)(t)}}}};module.exports={Traversable:m,traverse:y,sequence:w,traverseDefault:L,sequenceDefault:M,for:R,scanl:T,scanr:J,mapAccumL:N,mapAccumR:g,traversableArray:x,traversableMaybe:F,traversableFirst:h,traversableLast:C,traversableAdditive:q,traversableDual:b,traversableConj:D,traversableDisj:j,traversableMultiplicative:A}; +},{"./foreign.js":"oRQn","../Control.Applicative/index.js":"qYya","../Control.Apply/index.js":"QcLv","../Control.Category/index.js":"IAi2","../Data.Foldable/index.js":"eVDl","../Data.Functor/index.js":"+0AE","../Data.Maybe/index.js":"5mN7","../Data.Maybe.First/index.js":"W/l6","../Data.Maybe.Last/index.js":"aQky","../Data.Monoid.Additive/index.js":"fHyj","../Data.Monoid.Conj/index.js":"U/G5","../Data.Monoid.Disj/index.js":"9bR7","../Data.Monoid.Dual/index.js":"ULyl","../Data.Monoid.Multiplicative/index.js":"y5cd","../Data.Traversable.Accum.Internal/index.js":"LbSr"}],"8nb9":[function(require,module,exports) { +"use strict";var n=require("../Control.Applicative/index.js"),r=require("../Control.Apply/index.js"),t=require("../Control.Category/index.js"),u=require("../Data.Bifoldable/index.js"),e=require("../Data.Bifunctor/index.js"),i=require("../Data.Bifunctor.Clown/index.js"),o=require("../Data.Bifunctor.Flip/index.js"),c=require("../Data.Bifunctor.Joker/index.js"),f=require("../Data.Bifunctor.Product/index.js"),a=require("../Data.Bifunctor.Wrap/index.js"),l=require("../Data.Functor/index.js"),p=require("../Data.Traversable/index.js"),b=function(n,r,t,u){this.Bifoldable1=n,this.Bifunctor0=r,this.bisequence=t,this.bitraverse=u},s=function(n){return n.bitraverse},d=function(r){return function(t){return function(u){return function(e){return s(r)(t)(e)(n.pure(t))(u)}}}},F=function(r){return function(t){return function(u){return s(r)(t)(u)(n.pure(t))}}},v=function(r){return function(t){return function(u){return function(e){return s(r)(t)(n.pure(t))(e)(u)}}}},y=function(r){return function(t){return s(r)(t)(n.pure(t))}},B=function(n){return new b(function(){return u.bifoldableJoker(n.Foldable1())},function(){return c.bifunctorJoker(n.Functor0())},function(r){return function(t){return l.map(r.Apply0().Functor0())(c.Joker)(p.sequence(n)(r)(t))}},function(r){return function(t){return function(t){return function(u){return l.map(r.Apply0().Functor0())(c.Joker)(p.traverse(n)(r)(t)(u))}}}})},q=function(n){return new b(function(){return u.bifoldableClown(n.Foldable1())},function(){return i.bifunctorClown(n.Functor0())},function(r){return function(t){return l.map(r.Apply0().Functor0())(i.Clown)(p.sequence(n)(r)(t))}},function(r){return function(t){return function(u){return function(u){return l.map(r.Apply0().Functor0())(i.Clown)(p.traverse(n)(r)(t)(u))}}}})},A=function(n){return function(r){return s(n)(r)(t.identity(t.categoryFn))(t.identity(t.categoryFn))}},x=function(n){return n.bisequence},j=function(n){return new b(function(){return u.bifoldableFlip(n.Bifoldable1())},function(){return 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l.map(r.Apply0().Functor0())(a.Wrap)(x(n)(r)(t))}},function(r){return function(t){return function(u){return function(e){return l.map(r.Apply0().Functor0())(a.Wrap)(s(n)(r)(t)(u)(e))}}}})},D=function(n){return function(r){return function(t){return function(u){return function(i){return x(n)(r)(e.bimap(n.Bifunctor0())(t)(u)(i))}}}}},C=function(n){return function(r){return function(t){return function(u){return function(e){return s(n)(r)(u)(e)(t)}}}}};module.exports={Bitraversable:b,bitraverse:s,bisequence:x,bitraverseDefault:D,bisequenceDefault:A,ltraverse:F,rtraverse:y,bifor:C,lfor:d,rfor:v,bitraversableClown:q,bitraversableJoker:B,bitraversableFlip:j,bitraversableProduct:m,bitraversableWrap:w}; 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n=require("./foreign.js"),t=require("../Data.Function/index.js"),r=require("../Data.Functor/index.js"),i=require("../Data.Maybe/index.js"),u=require("../Data.Maybe.First/index.js"),e=require("../Data.Maybe.Last/index.js"),o=require("../Data.Monoid.Additive/index.js"),a=require("../Data.Monoid.Conj/index.js"),c=require("../Data.Monoid.Disj/index.js"),f=require("../Data.Monoid.Dual/index.js"),d=require("../Data.Monoid.Multiplicative/index.js"),s=require("../Data.Unit/index.js"),x=function(n,t){this.Functor0=n,this.mapWithIndex=t},j=function(n){return n.mapWithIndex},D=function(n){return function(r){return j(n)(t.const(r))}},p=new x(function(){return d.functorMultiplicative},function(n){return r.map(d.functorMultiplicative)(n(s.unit))}),h=new x(function(){return i.functorMaybe},function(n){return r.map(i.functorMaybe)(n(s.unit))}),M=new x(function(){return e.functorLast},function(n){return r.map(e.functorLast)(n(s.unit))}),l=new x(function(){return u.functorFirst},function(n){return 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b.unwrap(b.newtypeEndo)(_(n)(p.monoidEndo(u.categoryFn))(function(n){return function(u){return function(i){return x.append(t)(r)(x.append(t)(e(n)(u))(i))}}})(i))(r)}}}}},k=function(n){return function(t){return function(r){return _(n)(t)(i.const(r))}}},z=function(n){return function(t){return v(n)(function(n){return function(r){return function(u){return r instanceof f.Nothing&&t(n)(u)?new f.Just({index:n,value:u}):r}}})(f.Nothing.value)}},G=function(n){return function(t){return function(r){var u=b.unwrap(b.newtypeDisj),e=_(n)(a.monoidDisj(t))(function(n){var t=r(n);return function(n){return a.Disj(t(n))}});return function(n){return u(e(n))}}}},H=function(n){return function(t){return function(r){var u=b.unwrap(b.newtypeConj),e=_(n)(d.monoidConj(t))(function(n){var t=r(n);return function(n){return d.Conj(t(n))}});return function(n){return 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n=require("../Data.FoldableWithIndex/index.js"),t=require("../Data.Function/index.js"),r=require("../Data.FunctorWithIndex/index.js"),e=require("../Data.Traversable/index.js"),u=require("../Data.Traversable.Accum.Internal/index.js"),i=require("../Data.Unit/index.js"),a=function(n,t,r,e){this.FoldableWithIndex1=n,this.FunctorWithIndex0=t,this.Traversable2=r,this.traverseWithIndex=e},c=function(n){return function(t){return function(u){var i=e.sequence(n.Traversable2())(t),a=r.mapWithIndex(n.FunctorWithIndex0())(u);return function(n){return i(a(n))}}}},o=function(n){return n.traverseWithIndex},f=function(n){return function(r){return function(e){return o(n)(r)(t.const(e))}}},l=new a(function(){return n.foldableWithIndexMultiplicative},function(){return r.functorWithIndexMultiplicative},function(){return e.traversableMultiplicative},function(n){return function(t){return e.traverse(e.traversableMultiplicative)(n)(t(i.unit))}}),s=new a(function(){return 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n=require("../Control.Alt/index.js"),t=require("../Control.Applicative/index.js"),e=require("../Control.Apply/index.js"),r=require("../Control.Bind/index.js"),u=require("../Control.Extend/index.js"),o=require("../Control.Monad/index.js"),i=require("../Data.Bifoldable/index.js"),a=require("../Data.Bifunctor/index.js"),c=require("../Data.Bitraversable/index.js"),f=require("../Data.Bounded/index.js"),l=require("../Data.Eq/index.js"),s=require("../Data.Foldable/index.js"),m=require("../Data.FoldableWithIndex/index.js"),h=require("../Data.Function/index.js"),d=require("../Data.Functor/index.js"),w=require("../Data.Functor.Invariant/index.js"),p=require("../Data.FunctorWithIndex/index.js"),E=require("../Data.Maybe/index.js"),v=require("../Data.Monoid/index.js"),D=require("../Data.Ord/index.js"),F=require("../Data.Ordering/index.js"),x=require("../Data.Semigroup/index.js"),q=require("../Data.Show/index.js"),b=require("../Data.Traversable/index.js"),j=require("../Data.TraversableWithIndex/index.js"),y=require("../Data.Unit/index.js"),A=function(){function n(n){this.value0=n}return n.create=function(t){return new n(t)},n}(),I=function(){function n(n){this.value0=n}return n.create=function(t){return new n(t)},n}(),B=function(n){return function(t){return new q.Show(function(e){if(e instanceof A)return"(Left "+q.show(n)(e.value0)+")";if(e instanceof I)return"(Right "+q.show(t)(e.value0)+")";throw new Error("Failed pattern match at Data.Either (line 163, column 1 - line 165, column 46): "+[e.constructor.name])})}},g=function(n){return E["maybe'"](function(t){return A.create(n(t))})(I.create)},W=function(n){return E.maybe(new A(n))(I.create)},C=new d.Functor(function(n){return function(t){if(t instanceof A)return new A(t.value0);if(t instanceof I)return new I(n(t.value0));throw new Error("Failed pattern match at Data.Either (line 38, column 1 - line 38, column 52): "+[t.constructor.name])}}),O=new p.FunctorWithIndex(function(){return C},function(n){return d.map(C)(n(y.unit))}),T=new w.Invariant(w.imapF(C)),L=function(n){return 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t;if(e instanceof I)return n(e.value0)(t);throw new Error("Failed pattern match at Data.Either (line 187, column 1 - line 193, column 28): "+[n.constructor.name,t.constructor.name,e.constructor.name])}}}),S=new m.FoldableWithIndex(function(){return R},function(n){return function(t){return function(e){if(e instanceof A)return v.mempty(n);if(e instanceof I)return t(y.unit)(e.value0);throw new Error("Failed pattern match at Data.Either (line 195, column 1 - line 201, column 42): "+[t.constructor.name,e.constructor.name])}}},function(n){return function(t){return function(e){if(e instanceof A)return t;if(e instanceof I)return n(y.unit)(t)(e.value0);throw new Error("Failed pattern match at Data.Either (line 195, column 1 - line 201, column 42): "+[n.constructor.name,t.constructor.name,e.constructor.name])}}},function(n){return function(t){return function(e){if(e instanceof A)return t;if(e instanceof I)return n(y.unit)(e.value0)(t);throw new Error("Failed pattern match at Data.Either (line 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r.message},exports.name=function(r){return r.name||"Error"},exports.stackImpl=function(r){return function(t){return function(n){return n.stack?r(n.stack):t}}},exports.throwException=function(r){return function(){throw r}},exports.catchException=function(r){return function(t){return function(){try{return t()}catch(n){return n instanceof Error||"[object Error]"===Object.prototype.toString.call(n)?r(n)():r(new Error(n.toString()))()}}}}; +},{}],"0OCW":[function(require,module,exports) { +"use strict";var e=require("./foreign.js"),r=require("../Control.Applicative/index.js"),t=require("../Data.Either/index.js"),i=require("../Data.Functor/index.js"),o=require("../Data.Maybe/index.js"),n=require("../Data.Show/index.js"),a=require("../Effect/index.js"),c=function(o){return e.catchException((n=r.pure(a.applicativeEffect),function(e){return n(t.Left.create(e))}))(i.map(a.functorEffect)(t.Right.create)(o));var n},u=function(r){return 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n=require("../Control.Applicative/index.js"),r=require("../Control.Bind/index.js"),t=require("../Data.Either/index.js"),o=require("../Data.Function/index.js"),e=require("../Data.Functor/index.js"),i=require("../Data.Maybe/index.js"),u=require("../Data.Unit/index.js"),a=require("../Effect/index.js"),c=require("../Effect.Exception/index.js"),f=function(n,r){this.Monad0=n,this.throwError=r},d=function(n,r){this.MonadThrow0=n,this.catchError=r},h=function(n){return n.throwError},s=new f(function(){return i.monadMaybe},o.const(i.Nothing.value)),l=new f(function(){return t.monadEither},t.Left.create),w=new f(function(){return a.monadEffect},c.throwException),E=new d(function(){return s},function(n){return function(r){if(n instanceof i.Nothing)return r(u.unit);if(n instanceof i.Just)return new i.Just(n.value0);throw new Error("Failed pattern match at Control.Monad.Error.Class (line 79, column 1 - line 81, column 33): "+[n.constructor.name,r.constructor.name])}}),m=new d(function(){return 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n=require("../Control.Category/index.js"),o=require("../Control.Monad/index.js"),e=require("../Control.Semigroupoid/index.js"),r=require("../Data.Functor/index.js"),t=function(n,o){this.Monad0=n,this.ask=o},i=function(n,o){this.MonadAsk0=n,this.local=o},u=new t(function(){return o.monadFn},n.identity(n.categoryFn)),a=new i(function(){return u},e.composeFlipped(e.semigroupoidFn)),d=function(n){return n.local},s=function(n){return n.ask},c=function(n){return function(o){return r.map(n.Monad0().Bind1().Apply0().Functor0())(o)(s(n))}};module.exports={ask:s,local:d,MonadAsk:t,asks:c,MonadReader:i,monadAskFun:u,monadReaderFun:a}; +},{"../Control.Category/index.js":"IAi2","../Control.Monad/index.js":"U/Ix","../Control.Semigroupoid/index.js":"/riR","../Data.Functor/index.js":"+0AE"}],"U0zO":[function(require,module,exports) { +"use strict";var t=function(t,e){this.Extend0=t,this.extract=e},e=function(t){return t.extract};module.exports={Comonad:t,extract:e}; +},{}],"fhx3":[function(require,module,exports) { +"use strict";var n=require("../Data.Bounded/index.js"),e=require("../Data.Monoid/index.js"),r=require("../Data.Newtype/index.js"),t=require("../Data.Ord/index.js"),u=require("../Data.Semigroup/index.js"),o=require("../Data.Show/index.js"),i=function(n){return n},a=function(n){return new o.Show(function(e){return"(Max "+o.show(n)(e)+")"})},c=function(n){return new u.Semigroup(function(e){return function(r){return t.max(n)(e)(r)}})},d=new r.Newtype(function(n){return n},i),x=function(r){return new e.Monoid(function(){return c(r.Ord0())},n.bottom(r))},f=function(n){return n},s=function(n){return new t.Ord(function(){return f(n.Eq0())},function(e){return function(r){return t.compare(n)(e)(r)}})};module.exports={Max:i,newtypeMax:d,eqMax:f,ordMax:s,semigroupMax:c,monoidMax:x,showMax:a}; 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n=require("../Control.Applicative/index.js"),e=require("../Control.Bind/index.js"),t=require("../Data.Tuple/index.js"),i=function(n,e){this.Monad0=n,this.tell=e},r=function(n,e,t){this.MonadTell0=n,this.listen=e,this.pass=t},u=function(n){return n.tell},l=function(n){return n.pass},o=function(n){return n.listen},a=function(i){return function(r){return function(u){return e.bind(i.MonadTell0().Monad0().Bind1())(o(i)(u))(function(e){return n.pure(i.MonadTell0().Monad0().Applicative0())(new t.Tuple(e.value0,r(e.value1)))})}}},s=function(i){return function(r){return function(u){return l(i)(e.bind(i.MonadTell0().Monad0().Bind1())(u)(function(e){return n.pure(i.MonadTell0().Monad0().Applicative0())(new t.Tuple(e,r))}))}}};module.exports={listen:o,pass:l,tell:u,MonadTell:i,MonadWriter:r,listens:a,censor:s}; +},{"../Control.Applicative/index.js":"qYya","../Control.Bind/index.js":"7VcT","../Data.Tuple/index.js":"II/O"}],"HkJx":[function(require,module,exports) { +"use strict";var r=require("../Control.MonadZero/index.js"),o=function(r){this.MonadZero0=r},n=new o(function(){return r.monadZeroArray});module.exports={MonadPlus:o,monadPlusArray:n}; +},{"../Control.MonadZero/index.js":"lD5R"}],"dWtH":[function(require,module,exports) { +"use strict";var t=require("../Control.Category/index.js"),e=require("../Effect/index.js"),f=function(t,e){this.Monad0=t,this.liftEffect=e},n=new f(function(){return e.monadEffect},t.identity(t.categoryFn)),i=function(t){return t.liftEffect};module.exports={liftEffect:i,MonadEffect:f,monadEffectEffect:n}; +},{"../Control.Category/index.js":"IAi2","../Effect/index.js":"oTWB"}],"gr8B":[function(require,module,exports) { +"use strict";var n=require("../Control.Alt/index.js"),e=require("../Control.Alternative/index.js"),t=require("../Control.Applicative/index.js"),r=require("../Control.Apply/index.js"),u=require("../Control.Bind/index.js"),o=require("../Control.Category/index.js"),i=require("../Control.Monad/index.js"),a=require("../Control.Monad.Cont.Class/index.js"),c=require("../Control.Monad.Error.Class/index.js"),f=require("../Control.Monad.Reader.Class/index.js"),l=require("../Control.Monad.Rec.Class/index.js"),d=require("../Control.Monad.State.Class/index.js"),p=require("../Control.Monad.Trans.Class/index.js"),s=require("../Control.Monad.Writer.Class/index.js"),x=require("../Control.MonadPlus/index.js"),w=require("../Control.MonadZero/index.js"),M=require("../Control.Plus/index.js"),v=require("../Data.Either/index.js"),E=require("../Data.Functor/index.js"),T=require("../Data.Monoid/index.js"),m=require("../Data.Newtype/index.js"),C=require("../Data.Semigroup/index.js"),h=require("../Data.Tuple/index.js"),j=require("../Effect.Class/index.js"),q=function(n){return 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u.bind(n.MonadTell0().Monad0().Bind1())(s.listen(n)(e))(function(e){return t.pure(n.MonadTell0().Monad0().Applicative0())(E.map(v.functorEither)(function(n){return new h.Tuple(n,e.value1)})(e.value0))})}),y(function(e){return s.pass(n)(u.bind(n.MonadTell0().Monad0().Bind1())(e)(function(e){return t.pure(n.MonadTell0().Monad0().Applicative0())(function(){if(e instanceof v.Left)return new h.Tuple(new v.Left(e.value0),o.identity(o.categoryFn));if(e instanceof v.Right)return new h.Tuple(new v.Right(e.value0.value0),e.value0.value1);throw new Error("Failed pattern match at Control.Monad.Except.Trans (line 136, column 10 - line 138, column 45): "+[e.constructor.name])}())}))}))},J=function(n){return new c.MonadThrow(function(){return b(n)},(e=t.pure(n.Applicative0()),function(n){return q(e(v.Left.create(n)))}));var e},K=function(n){return new c.MonadError(function(){return J(n)},function(e){return function(r){return u.bind(n.Bind1())(e)(v.either(function(n){return 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t=require("../Control.Monad.Except.Trans/index.js"),e=require("../Data.Identity/index.js"),n=require("../Data.Newtype/index.js"),r=t.withExceptT(e.functorIdentity),i=function(){var r=n.unwrap(e.newtypeIdentity);return function(e){return r(t.runExceptT(e))}}(),u=function(r){return t.mapExceptT((i=n.unwrap(e.newtypeIdentity),function(t){return e.Identity(r(i(t)))}));var i};module.exports={runExcept:i,mapExcept:u,withExcept:r}; +},{"../Control.Monad.Except.Trans/index.js":"gr8B","../Data.Identity/index.js":"2OKT","../Data.Newtype/index.js":"lz8k"}],"TZDL":[function(require,module,exports) { +"use strict";exports.range=function(n){return function(r){for(var t=n>r?-1:1,e=new Array(t*(r-n)+1),u=n,o=0;u!==r;)e[o++]=u,u+=t;return e[o]=u,e}};var n=function(n){return function(r){return n<1?[]:new Array(n).fill(r)}},r=function(n){return function(r){for(var t=[],e=0,u=0;u<n;u++)t[e++]=r;return t}};exports.replicate="function"==typeof 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n=require("./foreign.js"),r=require("../Control.Applicative/index.js"),t=require("../Control.Bind/index.js"),e=require("../Control.Monad.ST.Internal/index.js"),u=require("../Data.Maybe/index.js"),i=require("../Data.Ord/index.js"),o=require("../Data.Ordering/index.js"),a=function(r){return n.unshiftAll([r])},c=function(){var n=r.pure(e.applicativeST);return function(r){return n(r)}}(),s=function(){var n=r.pure(e.applicativeST);return function(r){return n(r)}}(),l=n.copyImpl,f=function(n){return function(r){return function(){var t=l(r)();n(t)();return s(t)()}}},p=function(r){return n.sortByImpl(function(n){return function(t){var e=r(n)(t);if(e instanceof o.GT)return 1;if(e instanceof o.EQ)return 0;if(e instanceof o.LT)return-1;throw new Error("Failed pattern match at Data.Array.ST (line 109, column 15 - line 112, column 13): "+[e.constructor.name])}})},h=function(n){return function(r){return p(i.comparing(n)(r))}},m=function(n){return 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n=require("./foreign.js"),r=require("../Data.Boolean/index.js"),e=require("../Data.Maybe/index.js"),t=require("../Data.Semigroup.Traversable/index.js"),u=require("../Data.Tuple/index.js"),i=function(n){this.unfoldr1=n},o=function(n){return n.unfoldr1},a=new i(n.unfoldr1ArrayImpl(e.isNothing)(e.fromJust())(u.fst)(u.snd)),f=function(n){return function(t){return function(i){return o(n)(function(n){if(n<=0)return new u.Tuple(i,e.Nothing.value);if(r.otherwise)return new u.Tuple(i,new e.Just(n-1|0));throw new Error("Failed pattern match at Data.Unfoldable1 (line 64, column 5 - line 64, column 39): "+[n.constructor.name])})(t-1|0)}}},l=function(n){return function(r){return function(e){return function(u){return function(i){return t.sequence1(e)(n)(f(r)(u)(i))}}}}},c=function(n){return f(n)(1)},s=function(n){return function(r){return function(t){var i=t>=r?1:-1;return o(n)(function(n){return function(r){var i=r+n|0;return new u.Tuple(r,r===t?e.Nothing.value:new e.Just(i))}}(i))(r)}}};module.exports={Unfoldable1:i,unfoldr1:o,replicate1:f,replicate1A:l,singleton:c,range:s,unfoldable1Array:a}; +},{"./foreign.js":"rpkt","../Data.Boolean/index.js":"ObQr","../Data.Maybe/index.js":"5mN7","../Data.Semigroup.Traversable/index.js":"qkfi","../Data.Tuple/index.js":"II/O"}],"77+Z":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),e=require("../Data.Function/index.js"),r=require("../Data.Functor/index.js"),u=require("../Data.Maybe/index.js"),t=require("../Data.Traversable/index.js"),i=require("../Data.Tuple/index.js"),o=require("../Data.Unfoldable1/index.js"),a=require("../Data.Unit/index.js"),f=function(n,e){this.Unfoldable10=n,this.unfoldr=e},l=function(n){return n.unfoldr},c=new f(function(){return o.unfoldable1Array},n.unfoldrArrayImpl(u.isNothing)(u.fromJust())(i.fst)(i.snd)),s=function(n){return function(e){return function(r){return l(n)(function(n){return n<=0?u.Nothing.value:new u.Just(new 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n=require("./foreign.js"),r=require("../Control.Alt/index.js"),t=require("../Control.Applicative/index.js"),e=require("../Control.Apply/index.js"),u=require("../Control.Bind/index.js"),i=require("../Control.Category/index.js"),o=require("../Control.Lazy/index.js"),a=require("../Control.Monad.Rec.Class/index.js"),c=require("../Control.Monad.ST.Internal/index.js"),f=require("../Data.Array.ST/index.js"),l=require("../Data.Array.ST.Iterator/index.js"),s=require("../Data.Boolean/index.js"),p=require("../Data.Eq/index.js"),d=require("../Data.Foldable/index.js"),h=require("../Data.Function/index.js"),m=require("../Data.Functor/index.js"),v=require("../Data.HeytingAlgebra/index.js"),y=require("../Data.Maybe/index.js"),g=require("../Data.Ord/index.js"),A=require("../Data.Ordering/index.js"),q=require("../Data.Semigroup/index.js"),x=require("../Data.Traversable/index.js"),w=require("../Data.Tuple/index.js"),b=require("../Data.Unfoldable/index.js"),F=function(r){return function(t){return 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n=require("./foreign.js"),e=require("../Control.Category/index.js"),t=require("../Data.Boolean/index.js"),r=require("../Data.Bounded/index.js"),i=require("../Data.CommutativeRing/index.js"),u=require("../Data.DivisionRing/index.js"),o=require("../Data.Eq/index.js"),a=require("../Data.EuclideanRing/index.js"),c=require("../Data.Maybe/index.js"),f=require("../Data.Ord/index.js"),l=require("../Data.Ordering/index.js"),d=require("../Data.Ring/index.js"),s=require("../Data.Semiring/index.js"),m=require("../Data.Show/index.js"),v=require("../Global/index.js"),w=require("../Math/index.js"),g=function(n){return n},q=function(){function n(){}return n.value=new n,n}(),h=function(){function n(){}return n.value=new n,n}(),D=new m.Show(function(n){if(n instanceof q)return"Even";if(n instanceof h)return"Odd";throw new Error("Failed pattern match at Data.Int (line 112, column 1 - line 114, column 19): "+[n.constructor.name])}),b=function(n){if(n>=2&&n<=36)return new c.Just(n);if(t.otherwise)return 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D.Show(function(e){return"(NonEmptyList "+D.show(h.showNonEmpty(n)(Y(n)))(e)+")"})},_=new W.Traversable(function(){return Q},function(){return Z},function(n){return W.traverse(_)(n)(i.identity(i.categoryFn))},function(n){return function(e){var u=w.map(n.Apply0().Functor0())(d.foldl(Q)(m.flip(M.create))(A.value)),i=d.foldl(Q)(function(t){var u=r.lift2(n.Apply0())(m.flip(M.create))(t);return function(n){return u(e(n))}})(t.pure(n)(A.value));return function(n){return u(i(n))}}}),nn=h.traversableNonEmpty(_),en=new F.TraversableWithIndex(function(){return k},function(){return H},function(){return _},function(n){return function(e){var u=d.foldl(Q)(m.flip(M.create))(A.value),i=w.map(n.Apply0().Functor0())(u),o=p.foldlWithIndex(k)(function(t){return function(u){var i=r.lift2(n.Apply0())(m.flip(M.create))(u),o=e(t);return function(n){return i(o(n))}}})(t.pure(n)(A.value));return function(n){return i(o(n))}}}),tn=new F.TraversableWithIndex(function(){return z},function(){return 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function(e){return function(t){var r;return(r=e,function(e){return function(t){for(var u,i,o,a,l=r,c=e,f=!1;!f;)i=l,o=c,u=(a=t)?i instanceof A&&o instanceof A?(f=!0,a):i instanceof M&&o instanceof M?(l=i.value1,c=o.value1,void(t=a&&s.eq(n)(o.value0)(i.value0))):(f=!0,!1):(f=!0,!1);return u}})(t)(!0)}}}),vn=function(n){return new s.Eq(s.eq1(fn)(n))},sn=function(n){return h.eqNonEmpty(fn)(n)},dn=new N.Ord1(function(){return fn},function(n){return function(e){return function(t){var r;return(r=e,function(e){var t,u=r,i=!1;function o(t,r){if(t instanceof A&&r instanceof A)return i=!0,b.EQ.value;if(t instanceof A)return i=!0,b.LT.value;if(r instanceof A)return i=!0,b.GT.value;if(t instanceof M&&r instanceof M){var o=N.compare(n)(t.value0)(r.value0);return o instanceof b.EQ?(u=t.value1,void(e=r.value1)):(i=!0,o)}throw new Error("Failed pattern match at Data.List.Types (line 61, column 5 - line 61, column 20): "+[t.constructor.name,r.constructor.name])}for(;!i;)t=o(u,e);return t})(t)}}}),pn=function(n){return new N.Ord(function(){return vn(n.Eq0())},N.compare1(dn)(n))},mn=function(n){return h.ordNonEmpty(dn)(n)},wn=new o.Comonad(function(){return ln},function(n){return n.value0}),yn=new r.Apply(function(){return Z},function(n){return function(e){if(n instanceof A)return A.value;if(n instanceof M)return q.append(R)(w.map(Z)(n.value0)(e))(r.apply(yn)(n.value1)(e));throw new Error("Failed pattern match at Data.List.Types (line 155, column 1 - line 157, column 48): "+[n.constructor.name,e.constructor.name])}}),xn=new r.Apply(function(){return J},function(n){return function(e){return new h.NonEmpty(n.value0(e.value0),q.append(R)(r.apply(yn)(n.value1)(new M(e.value0,A.value)))(r.apply(yn)(new M(n.value0,n.value1))(e.value1)))}}),En=new u.Bind(function(){return yn},function(n){return function(e){if(n instanceof A)return A.value;if(n instanceof M)return q.append(R)(e(n.value0))(u.bind(En)(n.value1)(e));throw new Error("Failed pattern match at Data.List.Types (line 162, column 1 - line 164, column 37): "+[n.constructor.name,e.constructor.name])}}),Ln=new u.Bind(function(){return xn},function(n){return function(e){var t=e(n.value0);return new h.NonEmpty(t.value0,q.append(R)(t.value1)(u.bind(En)(n.value1)(function(n){return P(e(n))})))}}),hn=new t.Applicative(function(){return yn},function(n){return new M(n,A.value)}),Nn=new l.Monad(function(){return hn},function(){return En}),bn=new n.Alt(function(){return J},q.append(X)),qn=new n.Alt(function(){return Z},q.append(R)),jn=new v.Plus(function(){return qn},A.value),In=new e.Alternative(function(){return hn},function(){return jn}),Dn=new f.MonadZero(function(){return In},function(){return Nn}),Wn=new c.MonadPlus(function(){return Dn}),Fn=new t.Applicative(function(){return xn},function(){var n=h.singleton(jn);return function(e){return S(n(e))}}()),Tn=new l.Monad(function(){return Fn},function(){return Ln}),gn=new j.Traversable1(function(){return an},function(){return nn},function(n){return j.traverse1(gn)(n)(i.identity(i.categoryFn))},function(n){return function(e){return function(u){return w.mapFlipped(n.Functor0())(d.foldl(Q)(function(t){var u=r.lift2(n)(m.flip(U))(t);return function(n){return u(e(n))}})(w.map(n.Functor0())(t.pure(Fn))(e(u.value0)))(u.value1))(function(n){return d.foldl(Q)(m.flip(U))(t.pure(Fn)(n.value0))(n.value1)})}}});module.exports={Nil:A,Cons:M,NonEmptyList:S,toList:P,nelCons:U,showList:Y,eqList:vn,eq1List:fn,ordList:pn,ord1List:dn,semigroupList:R,monoidList:V,functorList:Z,functorWithIndexList:H,foldableList:Q,foldableWithIndexList:k,unfoldable1List:rn,unfoldableList:un,traversableList:_,traversableWithIndexList:en,applyList:yn,applicativeList:hn,bindList:En,monadList:Nn,altList:qn,plusList:jn,alternativeList:In,monadZeroList:Dn,monadPlusList:Wn,extendList:cn,newtypeNonEmptyList:O,eqNonEmptyList:sn,ordNonEmptyList:mn,showNonEmptyList:$,functorNonEmptyList:J,applyNonEmptyList:xn,applicativeNonEmptyList:Fn,bindNonEmptyList:Ln,monadNonEmptyList:Tn,altNonEmptyList:bn,extendNonEmptyList:ln,comonadNonEmptyList:wn,semigroupNonEmptyList:X,foldableNonEmptyList:G,traversableNonEmptyList:nn,foldable1NonEmptyList:an,unfoldable1NonEmptyList:on,functorWithIndexNonEmptyList:K,foldableWithIndexNonEmptyList:z,traversableWithIndexNonEmptyList:tn,traversable1NonEmptyList:gn}; 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n=require("../Control.Alt/index.js"),e=require("../Control.Applicative/index.js"),t=require("../Control.Apply/index.js"),r=require("../Control.Bind/index.js"),u=require("../Control.Category/index.js"),o=require("../Control.Lazy/index.js"),i=require("../Control.Monad.Rec.Class/index.js"),a=require("../Data.Bifunctor/index.js"),c=require("../Data.Boolean/index.js"),l=require("../Data.Eq/index.js"),f=require("../Data.Foldable/index.js"),s=require("../Data.Function/index.js"),v=require("../Data.Functor/index.js"),m=require("../Data.FunctorWithIndex/index.js"),d=require("../Data.HeytingAlgebra/index.js"),w=require("../Data.List.Types/index.js"),p=require("../Data.Maybe/index.js"),C=require("../Data.Newtype/index.js"),h=require("../Data.NonEmpty/index.js"),N=require("../Data.Ord/index.js"),q=require("../Data.Ordering/index.js"),y=require("../Data.Semigroup/index.js"),D=require("../Data.Show/index.js"),L=require("../Data.Traversable/index.js"),b=require("../Data.Tuple/index.js"),x=require("../Data.Unfoldable/index.js"),F=require("../Data.Unit/index.js"),g=function(n){return 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Error("Failed pattern match at Data.List (line 368, column 3 - line 368, column 19): "+[n.constructor.name,t.constructor.name])}for(;!u;)t=o(r,e);return t}}(),S=function(){var n;return n=w.Nil.value,function(e){return function(t){var r,u=n,o=e,i=!1;function a(n,e,r){if(e<1)return i=!0,G(n);if(r instanceof w.Nil)return i=!0,G(n);if(r instanceof w.Cons)return u=new w.Cons(r.value0,n),o=e-1|0,void(t=r.value1);throw new Error("Failed pattern match at Data.List (line 520, column 3 - line 520, column 35): "+[n.constructor.name,e.constructor.name,r.constructor.name])}for(;!i;)r=a(u,o,t);return r}}}(),k=function(n){var e;return e=w.Nil.value,function(t){for(var r,u,o,i=e,a=!1;!a;)u=i,r=(o=t)instanceof w.Cons&&n(o.value0)?(i=new w.Cons(o.value0,u),void(t=o.value1)):(a=!0,G(u));return r}},U=function(n){var e;return v.map(p.functorMaybe)(function(n){return{init:G(n.revInit),last:n.last}})((e=n,function(n){var t,r=e,u=!1;function o(e,t){if(e instanceof w.Nil)return u=!0,p.Nothing.value;if(e 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{ +"use strict";exports.defer=function(r){var n=null;return function(){return void 0===r?n:(n=r(),r=void 0,n)}},exports.force=function(r){return r()}; +},{}],"aRUE":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Control.Applicative/index.js"),e=require("../Control.Apply/index.js"),t=require("../Control.Bind/index.js"),u=require("../Control.Comonad/index.js"),i=require("../Control.Extend/index.js"),o=require("../Control.Lazy/index.js"),f=require("../Control.Monad/index.js"),c=require("../Data.BooleanAlgebra/index.js"),a=require("../Data.Bounded/index.js"),d=require("../Data.CommutativeRing/index.js"),l=require("../Data.Eq/index.js"),s=require("../Data.EuclideanRing/index.js"),p=require("../Data.Foldable/index.js"),y=require("../Data.FoldableWithIndex/index.js"),x=require("../Data.Function/index.js"),m=require("../Data.Functor/index.js"),q=require("../Data.Functor.Invariant/index.js"),g=require("../Data.FunctorWithIndex/index.js"),w=require("../Data.HeytingAlgebra/index.js"),z=require("../Data.Monoid/index.js"),j=require("../Data.Ord/index.js"),L=require("../Data.Ring/index.js"),b=require("../Data.Semigroup/index.js"),D=require("../Data.Semigroup.Foldable/index.js"),v=require("../Data.Semigroup.Traversable/index.js"),F=require("../Data.Semiring/index.js"),h=require("../Data.Show/index.js"),A=require("../Data.Traversable/index.js"),C=require("../Data.TraversableWithIndex/index.js"),I=require("../Data.Unit/index.js"),R=function(r){return 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b(n.value0.value3.value0,n.value0.value3.value1,n.value0.value3.value2,n.value0.value3.value3,n.value0.value4,n.value0.value5,a)));if(n.value0 instanceof C&&n.value0.value2 instanceof b)return l=!0,Y(e)(n.value1)(new b(new T(a,n.value0.value0,n.value0.value1,n.value0.value2.value0),n.value0.value2.value1,n.value0.value2.value2,new T(n.value0.value2.value3,n.value0.value2.value4,n.value0.value2.value5,n.value0.value2.value6),n.value0.value3,n.value0.value4,n.value0.value5));if(n.value0 instanceof q&&n.value0.value0 instanceof b)return l=!0,Y(e)(n.value1)(new b(new T(n.value0.value0.value0,n.value0.value0.value1,n.value0.value0.value2,n.value0.value0.value3),n.value0.value0.value4,n.value0.value0.value5,new T(n.value0.value0.value6,n.value0.value1,n.value0.value2,a),n.value0.value3,n.value0.value4,n.value0.value5));if(n.value0 instanceof q&&n.value0.value5 instanceof b)return l=!0,Y(e)(n.value1)(new b(n.value0.value0,n.value0.value1,n.value0.value2,new 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pattern match at Data.Compactable (line 93, column 23 - line 95, column 27): "+[e.value0.constructor.name])}throw new Error("Failed pattern match at Data.Compactable (line 91, column 1 - line 100, column 53): "+[e.constructor.name])},function(e){if(e instanceof o.Left)return{left:new o.Left(e.value0),right:new o.Left(e.value0)};if(e instanceof o.Right){if(e.value0 instanceof o.Left)return{left:new o.Right(e.value0.value0),right:new o.Left(v.mempty(t))};if(e.value0 instanceof o.Right)return{left:new o.Left(v.mempty(t)),right:new o.Right(e.value0.value0)};throw new Error("Failed pattern match at Data.Compactable (line 98, column 24 - line 100, column 53): "+[e.value0.constructor.name])}throw new Error("Failed pattern match at Data.Compactable (line 91, column 1 - line 100, column 53): "+[e.constructor.name])})},q=new w(u.catMaybes,function(t){return g(e.alternativeArray)(l.foldableArray)(q)(t)}),C=function(t){return function(e){var n=b(e),r=f.map(t)(o.note(d.unit));return function(t){return n(r(t)).right}}},E=function(t){return t.compact},A=function(t){return function(e){return function(n){return{left:E(e)(f.map(t)(function(t){return o.hush(function(t){if(t instanceof o.Left)return new o.Right(t.value0);if(t instanceof o.Right)return new o.Left(t.value0);throw new Error("Failed pattern match at Data.Compactable (line 79, column 20 - line 81, column 24): "+[t.constructor.name])}(t))})(n)),right:E(e)(f.map(t)(o.hush)(n))}}}},F=function(t){return function(e){return function(n){var r=E(e),i=a.bind(t)(n);return function(t){return r(i(t))}}}},R=function(t){return function(e){return function(n){var r=b(e),i=a.bind(t)(n);return function(t){return r(i(t))}}}},M=function(t){return function(e){return function(n){var a=E(e),i=r.apply(t)(n);return function(t){return a(i(t))}}}},N=function(t){return function(e){return function(n){var a=b(e),i=r.apply(t)(n);return function(t){return a(i(t))}}}};module.exports={Compactable:w,compact:E,separate:b,compactDefault:C,separateDefault:A,applyMaybe:M,applyEither:N,bindMaybe:F,bindEither:R,compactableMaybe:D,compactableEither:x,compactableArray:q,compactableList:j,compactableMap:L}; +},{"../Control.Alt/index.js":"lN+m","../Control.Alternative/index.js":"aHia","../Control.Applicative/index.js":"qYya","../Control.Apply/index.js":"QcLv","../Control.Bind/index.js":"7VcT","../Control.Plus/index.js":"oMBg","../Data.Array/index.js":"4t4C","../Data.Either/index.js":"B2JL","../Data.Foldable/index.js":"eVDl","../Data.Function/index.js":"ImXJ","../Data.Functor/index.js":"+0AE","../Data.List/index.js":"ezw6","../Data.List.Types/index.js":"Xxuc","../Data.Map.Internal/index.js":"RRDs","../Data.Maybe/index.js":"5mN7","../Data.Monoid/index.js":"TiEB","../Data.Unit/index.js":"NhVk"}],"6hfS":[function(require,module,exports) { +"use strict";var t=require("../Control.Bind/index.js"),n=require("../Data.Array/index.js"),e=require("../Data.Compactable/index.js"),r=require("../Data.Either/index.js"),i=require("../Data.Foldable/index.js"),u=require("../Data.Function/index.js"),a=require("../Data.Functor/index.js"),o=require("../Data.HeytingAlgebra/index.js"),l=require("../Data.List/index.js"),f=require("../Data.List.Types/index.js"),c=require("../Data.Map.Internal/index.js"),s=require("../Data.Maybe/index.js"),h=require("../Data.Monoid/index.js"),m=require("../Data.Semigroup/index.js"),p=function(t,n,e,r,i,u){this.Compactable0=t,this.Functor1=n,this.filter=e,this.filterMap=r,this.partition=i,this.partitionMap=u},g=function(t){return function(n){var r=e.separate(t.Compactable0()),i=a.map(t.Functor1())(n);return function(t){return r(i(t))}}},b=function(t){return t.partitionMap},d=function(t){return t.partition},v=function(t){return function(n){return t(n)?new s.Just(n):s.Nothing.value}},w=new p(function(){return e.compactableList},function(){return f.functorList},l.filter,function(t){return l.mapMaybe(t)},function(t){return function(n){return i.foldr(f.foldableList)(function(n){return function(e){return t(n)?{no:e.no,yes:new f.Cons(n,e.yes)}:{no:new f.Cons(n,e.no),yes:e.yes}}})({no:f.Nil.value,yes:f.Nil.value})(n)}},function(t){return function(n){return i.foldr(f.foldableList)(function(n){return function(e){var i=t(n);if(i instanceof r.Left)return{left:new f.Cons(i.value0,e.left),right:e.right};if(i instanceof r.Right)return{left:e.left,right:new f.Cons(i.value0,e.right)};throw new Error("Failed pattern match at Data.Filterable (line 190, column 36 - line 192, column 83): "+[i.constructor.name])}})({left:f.Nil.value,right:f.Nil.value})(n)}}),y=new p(function(){return e.compactableArray},function(){return a.functorArray},n.filter,n.mapMaybe,n.partition,function(t){return i.foldl(i.foldableArray)(function(n){return function(e){var i=t(e);if(i instanceof r.Left)return{left:m.append(m.semigroupArray)(n.left)([i.value0]),right:n.right};if(i instanceof r.Right)return{right:m.append(m.semigroupArray)(n.right)([i.value0]),left:n.left};throw new Error("Failed pattern match at Data.Filterable (line 149, column 16 - line 151, column 50): "+[i.constructor.name])}})({left:[],right:[]})}),D=function(t){return function(n){var r=e.compact(t.Compactable0()),i=a.map(t.Functor1())(n);return function(t){return r(i(t))}}},F=function(t){return t.filterMap},L=function(t){return function(n){return function(e){return{yes:F(t)(v(n))(e),no:F(t)(v(o.not(o.heytingAlgebraFunction(o.heytingAlgebraBoolean))(n)))(e)}}}},M=function(t){return function(n){return function(e){return d(t)(n)(e).yes}}},x=function(t){var n=F(t);return function(t){return n(v(t))}},j=function(t){return t.filter},q=function(t){return function(n){return function(e){return{yes:j(t)(n)(e),no:j(t)(o.not(o.heytingAlgebraFunction(o.heytingAlgebraBoolean))(n))(e)}}}},E=function(t){return function(n){return t(n)?new r.Right(n):new r.Left(n)}},A=function(t){return function(n){return function(e){return b(t)(E(n))(e).right}}},N=function(t){return function(n){return function(e){var r=b(t)(E(n))(e);return{no:r.left,yes:r.right}}}},R=function t(n){return new p(function(){return e.compactableEither(n)},function(){return r.functorEither},function(e){return x(t(n))(e)},function(t){return function(e){if(e instanceof r.Left)return new r.Left(e.value0);if(e instanceof r.Right){var i=t(e.value0);if(i instanceof s.Nothing)return new r.Left(h.mempty(n));if(i instanceof s.Just)return new r.Right(i.value0);throw new Error("Failed pattern match at Data.Filterable (line 180, column 27 - line 182, column 22): "+[i.constructor.name])}throw new Error("Failed pattern match at Data.Filterable (line 171, column 1 - line 184, column 29): "+[t.constructor.name,e.constructor.name])}},function(e){return N(t(n))(e)},function(t){return function(e){if(e instanceof r.Left)return{left:new r.Left(e.value0),right:new r.Left(e.value0)};if(e instanceof r.Right){var i=t(e.value0);if(i instanceof r.Left)return{left:new r.Right(i.value0),right:new r.Left(h.mempty(n))};if(i instanceof r.Right)return{left:new r.Left(h.mempty(n)),right:new r.Right(i.value0)};throw new Error("Failed pattern match at Data.Filterable (line 173, column 30 - line 175, column 53): "+[i.constructor.name])}throw new Error("Failed pattern match at Data.Filterable (line 171, column 1 - line 184, column 29): "+[t.constructor.name,e.constructor.name])}})},C=function t(n){return new p(function(){return e.compactableMap(n)},function(){return c.functorMap},function(e){return x(t(n))(e)},function(t){return function(e){var r=c.toUnfoldable(f.unfoldableList);return i.foldr(f.foldableList)(function(e){return function(r){return c.alter(n)(u.const(t(e.value1)))(e.value0)(r)}})(c.empty)(r(e))}},function(e){return N(t(n))(e)},function(t){return function(e){var u=c.toUnfoldable(f.unfoldableList);return i.foldr(f.foldableList)(function(e){return function(i){var u=t(e.value1);if(u instanceof r.Left)return{left:c.insert(n)(e.value0)(u.value0)(i.left),right:i.right};if(u instanceof r.Right)return{left:i.left,right:c.insert(n)(e.value0)(u.value0)(i.right)};throw new Error("Failed pattern match at Data.Filterable (line 215, column 44 - line 217, column 57): "+[u.constructor.name])}})({left:c.empty,right:c.empty})(u(e))}})},B=new p(function(){return e.compactableMaybe},function(){return s.functorMaybe},function(t){return x(B)(t)},t.bindFlipped(s.bindMaybe),function(t){return N(B)(t)},function(t){return function(n){if(n instanceof s.Nothing)return{left:s.Nothing.value,right:s.Nothing.value};if(n instanceof s.Just){var e=t(n.value0);if(e instanceof r.Left)return{left:new s.Just(e.value0),right:s.Nothing.value};if(e instanceof r.Right)return{left:s.Nothing.value,right:new s.Just(e.value0)};throw new Error("Failed pattern match at Data.Filterable (line 161, column 29 - line 163, column 48): "+[e.constructor.name])}throw new Error("Failed pattern match at Data.Filterable (line 159, column 1 - line 169, column 29): "+[t.constructor.name,n.constructor.name])}}),J=function(t){return F(t)(u.const(s.Nothing.value))};module.exports={Filterable:p,partitionMap:b,partition:d,filterMap:F,filter:j,eitherBool:E,partitionDefault:N,partitionDefaultFilter:q,partitionDefaultFilterMap:L,partitionMapDefault:g,maybeBool:v,filterDefault:x,filterDefaultPartition:M,filterDefaultPartitionMap:A,filterMapDefault:D,cleared:J,filterableArray:y,filterableMaybe:B,filterableEither:R,filterableList:w,filterableMap:C}; +},{"../Control.Bind/index.js":"7VcT","../Data.Array/index.js":"4t4C","../Data.Compactable/index.js":"jHR9","../Data.Either/index.js":"B2JL","../Data.Foldable/index.js":"eVDl","../Data.Function/index.js":"ImXJ","../Data.Functor/index.js":"+0AE","../Data.HeytingAlgebra/index.js":"paZe","../Data.List/index.js":"ezw6","../Data.List.Types/index.js":"Xxuc","../Data.Map.Internal/index.js":"RRDs","../Data.Maybe/index.js":"5mN7","../Data.Monoid/index.js":"TiEB","../Data.Semigroup/index.js":"EsAJ"}],"AuzG":[function(require,module,exports) { +"use strict";var n=require("../Data.Maybe/index.js"),t=function(){function n(n){this.value0=n}return n.create=function(t){return new n(t)},n}(),e=function(){function n(n){this.value0=n}return n.create=function(t){return new n(t)},n}(),r=function(){function n(n,t){this.value0=n,this.value1=t}return n.create=function(t){return function(e){return new n(t,e)}},n}(),u=function(){function n(){}return n.value=new n,n}(),o=function(n){return n},i=function(n){return n},c=function(n,t){this.from=n,this.to=t},a=function(n){return n.to},f=new c(function(r){if(r instanceof n.Nothing)return new t(u.value);if(r instanceof n.Just)return new e(r.value0);throw new Error("Failed pattern match at Data.Generic.Rep (line 40, column 1 - line 47, column 49): "+[r.constructor.name])},function(r){if(r instanceof t)return n.Nothing.value;if(r instanceof e)return new n.Just(r.value0);throw new Error("Failed pattern match at Data.Generic.Rep (line 40, column 1 - line 47, column 49): "+[r.constructor.name])}),l=function(n){return n.from};module.exports={Generic:c,to:a,from:l,NoArguments:u,Inl:t,Inr:e,Product:r,Constructor:o,Argument:i,genericMaybe:f}; +},{"../Data.Maybe/index.js":"5mN7"}],"lpst":[function(require,module,exports) { +"use strict";var n=require("../Data.Foldable/index.js"),e=require("../Data.Generic.Rep/index.js"),r=require("../Data.Monoid/index.js"),t=require("../Data.Semigroup/index.js"),o=require("../Data.Show/index.js"),i=require("../Data.Symbol/index.js"),u=function(n){this.genericShowArgs=n},c=function(n){this["genericShow'"]=n},a=new u(function(n){return[]}),s=function(n){return new u(function(e){return[o.show(n)(e)]})},f=function(n){return n.genericShowArgs},g=function(n){return function(e){return new u(function(r){return t.append(t.semigroupArray)(f(n)(r.value0))(f(e)(r.value1))})}},w=function(e){return function(o){return new c(function(u){var c=i.reflectSymbol(o)(i.SProxy.value),a=f(e)(u);return 0===a.length?c:"("+n.intercalate(n.foldableArray)(r.monoidString)(" ")(t.append(t.semigroupArray)([c])(a))+")"})}},h=function(n){return n["genericShow'"]},S=new c(function(n){return h(S)(n)}),l=function(n){return function(r){return new c(function(t){if(t instanceof e.Inl)return h(n)(t.value0);if(t instanceof e.Inr)return h(r)(t.value0);throw new Error("Failed pattern match at Data.Generic.Rep.Show (line 26, column 1 - line 28, column 40): "+[t.constructor.name])})}},d=function(n){return function(r){return function(t){return h(r)(e.from(n)(t))}}};module.exports={GenericShow:c,"genericShow'":h,genericShow:d,GenericShowArgs:u,genericShowArgs:f,genericShowNoConstructors:S,genericShowArgsNoArguments:a,genericShowSum:l,genericShowArgsProduct:g,genericShowConstructor:w,genericShowArgsArgument:s}; +},{"../Data.Foldable/index.js":"eVDl","../Data.Generic.Rep/index.js":"AuzG","../Data.Monoid/index.js":"TiEB","../Data.Semigroup/index.js":"EsAJ","../Data.Show/index.js":"mFY7","../Data.Symbol/index.js":"4oJQ"}],"89+t":[function(require,module,exports) { +"use strict";var n=require("../Data.Functor/index.js"),r=require("../Data.Void/index.js"),t=function(n){this.cmap=n},u=function(n){return n.cmap},e=function(n){return function(r){return function(t){return u(n)(t)(r)}}},i=function(t){return function(e){return function(i){return n.map(e)(r.absurd)(u(t)(r.absurd)(i))}}},c=function(n){return function(r){return function(r){return u(n)(r)}}};module.exports={cmap:u,Contravariant:t,cmapFlipped:e,coerce:i,imapC:c}; +},{"../Data.Functor/index.js":"+0AE","../Data.Void/index.js":"bncE"}],"OmNG":[function(require,module,exports) { +"use strict";var n=require("../Control.Applicative/index.js"),r=require("../Control.Apply/index.js"),t=require("../Control.Semigroupoid/index.js"),e=require("../Data.Bifoldable/index.js"),u=require("../Data.Bifunctor/index.js"),i=require("../Data.Bitraversable/index.js"),o=require("../Data.Eq/index.js"),c=require("../Data.Foldable/index.js"),f=require("../Data.FoldableWithIndex/index.js"),a=require("../Data.Functor/index.js"),s=require("../Data.Functor.Contravariant/index.js"),d=require("../Data.Functor.Invariant/index.js"),l=require("../Data.FunctorWithIndex/index.js"),p=require("../Data.Monoid/index.js"),C=require("../Data.Newtype/index.js"),x=require("../Data.Ord/index.js"),q=require("../Data.Semigroup/index.js"),b=require("../Data.Show/index.js"),w=require("../Data.Traversable/index.js"),m=require("../Data.TraversableWithIndex/index.js"),j=function(n){return n},v=function(n){return new b.Show(function(r){return"(Const "+b.show(n)(r)+")"})},D=function(n){return n},h=new t.Semigroupoid(function(n){return function(n){return n}}),g=function(n){return n},F=function(n){return n},y=function(n){return n},I=new C.Newtype(function(n){return n},j),W=function(n){return n},A=function(n){return n},B=new a.Functor(function(n){return function(n){return n}}),S=new l.FunctorWithIndex(function(){return B},function(n){return function(n){return n}}),T=new d.Invariant(d.imapF(B)),E=new c.Foldable(function(n){return function(r){return function(r){return p.mempty(n)}}},function(n){return function(n){return function(r){return n}}},function(n){return function(n){return function(r){return n}}}),N=new f.FoldableWithIndex(function(){return E},function(n){return function(r){return function(r){return p.mempty(n)}}},function(n){return function(n){return function(r){return n}}},function(n){return function(n){return function(r){return n}}}),O=new w.Traversable(function(){return E},function(){return B},function(r){return function(t){return n.pure(r)(t)}},function(r){return function(t){return function(t){return n.pure(r)(t)}}}),R=new m.TraversableWithIndex(function(){return N},function(){return S},function(){return O},function(r){return function(t){return function(t){return n.pure(r)(t)}}}),M=function(n){return n},k=function(n){return n},z=function(n){return new o.Eq1(function(r){return o.eq(k(n))})},G=function(n){return new x.Ord1(function(){return z(n.Eq0())},function(r){return x.compare(y(n))})},H=new s.Contravariant(function(n){return function(n){return n}}),J=function(n){return n},K=function(n){return n},L=function(n){return n},P=new u.Bifunctor(function(n){return function(r){return function(r){return n(r)}}}),Q=new e.Bifoldable(function(n){return function(n){return function(r){return function(r){return n(r)}}}},function(n){return function(r){return function(r){return function(t){return n(r)(t)}}}},function(n){return function(r){return function(r){return function(t){return n(t)(r)}}}}),U=new i.Bitraversable(function(){return Q},function(){return P},function(n){return function(r){return a.map(n.Apply0().Functor0())(j)(r)}},function(n){return function(r){return function(t){return function(t){return a.map(n.Apply0().Functor0())(j)(r(t))}}}}),V=function(n){return new r.Apply(function(){return B},function(r){return function(t){return q.append(n)(r)(t)}})},X=function(r){return new n.Applicative(function(){return V(r.Semigroup0())},function(n){return p.mempty(r)})};module.exports={Const:j,newtypeConst:I,eqConst:k,eq1Const:z,ordConst:y,ord1Const:G,boundedConst:K,showConst:v,semigroupoidConst:h,semigroupConst:g,monoidConst:W,semiringConst:D,ringConst:F,euclideanRingConst:M,commutativeRingConst:J,heytingAlgebraConst:A,booleanAlgebraConst:L,functorConst:B,bifunctorConst:P,functorWithIndexConst:S,invariantConst:T,contravariantConst:H,applyConst:V,applicativeConst:X,foldableConst:E,foldableWithIndexConst:N,bifoldableConst:Q,traversableConst:O,traversableWithIndexConst:R,bitraversableConst:U}; 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n=require("../Data.Const/index.js"),r=require("../Data.Either/index.js"),e=require("../Data.Functor/index.js"),t=require("../Data.Lens.Internal.Wander/index.js"),o=require("../Data.Monoid/index.js"),u=require("../Data.Newtype/index.js"),i=require("../Data.Profunctor/index.js"),c=require("../Data.Profunctor.Choice/index.js"),f=require("../Data.Profunctor.Cochoice/index.js"),a=require("../Data.Profunctor.Strong/index.js"),s=require("../Data.Semigroup/index.js"),d=require("../Data.Tuple/index.js"),F=function(n){return n},g=function(n){return s.semigroupFn(n)},p=new i.Profunctor(function(n){return function(r){return function(r){return function(e){return r(n(e))}}}}),x=new a.Strong(function(){return p},function(n){return function(r){return n(d.fst(r))}},function(n){return function(r){return n(d.snd(r))}}),j=new u.Newtype(function(n){return n},F),m=function(n){return o.monoidFn(n)},q=new f.Cochoice(function(){return p},function(n){return function(e){return 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n=require("../Control.Category/index.js"),e=require("../Control.Monad.State.Class/index.js"),t=require("../Data.Lens.Internal.Forget/index.js"),r=require("../Data.Lens.Internal.Indexed/index.js"),u=require("../Data.Newtype/index.js"),o=require("../Data.Profunctor.Strong/index.js"),i=function(e){return u.unwrap(t.newtypeForget)(e(n.identity(n.categoryFn)))},a=function(n){return function(e){return i(e)(n)}},c=function(n){return function(t){return e.gets(n)(function(n){return a(n)(t)})}},s=function(n){return function(e){var r=u.unwrap(t.newtypeForget)(e);return function(e){return r(n(e))}}},f=function(e){return function(t){return s(o.fanout(n.categoryFn)(o.strongFn)(i(e))(i(t)))}},d=function(e){return u.unwrap(t.newtypeForget)(e(r.Indexed(n.identity(n.categoryFn))))},g=function(n){return function(t){return e.gets(n)(d(t))}},w=function(n){return s(i(n))};module.exports={viewOn:a,view:i,to:s,takeBoth:f,use:c,iview:d,iuse:g,cloneGetter:w}; 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n=require("./foreign.js"),t=require("../Control.Apply/index.js"),e=require("../Control.Bind/index.js"),r=require("../Control.MonadZero/index.js"),u=require("../Data.Boolean/index.js"),o=require("../Data.Bounded/index.js"),i=require("../Data.Either/index.js"),a=require("../Data.Eq/index.js"),c=require("../Data.Function/index.js"),f=require("../Data.Functor/index.js"),l=require("../Data.Maybe/index.js"),d=require("../Data.Newtype/index.js"),m=require("../Data.Ord/index.js"),s=require("../Data.Ordering/index.js"),h=require("../Data.Show/index.js"),w=require("../Data.Tuple/index.js"),E=require("../Data.Unfoldable/index.js"),v=require("../Data.Unfoldable1/index.js"),p=require("../Data.Unit/index.js"),b=function(n){return n},g=function(n,t,e){this.Ord0=n,this.pred=t,this.succ=e},J=function(n,t,e,r,u){this.Bounded0=n,this.Enum1=t,this.cardinality=e,this.fromEnum=r,this.toEnum=u},y=function(n){return n.toEnum},D=function(n){return n.succ},T=function(n){return function(e){return 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new Error("Failed pattern match at Data.Enum (line 80, column 1 - line 84, column 32): "+[t.constructor.name])},function(t){if(t instanceof l.Nothing)return new l.Just(new l.Just(o.bottom(n.Bounded0())));if(t instanceof l.Just)return f.map(l.functorMaybe)(l.Just.create)(D(n.Enum1())(t.value0));throw new Error("Failed pattern match at Data.Enum (line 80, column 1 - line 84, column 32): "+[t.constructor.name])})},U=new g(function(){return m.ordInt},function(n){return n>o.bottom(o.boundedInt)?new l.Just(n-1|0):l.Nothing.value},function(n){return n<o.top(o.boundedInt)?new l.Just(n+1|0):l.Nothing.value}),Q=function(n){return function(t){var o=function(n){return function(t){return function(u){return function(o){return new w.Tuple(o,e.bind(l.bindMaybe)(n(o))(function(n){return f.voidLeft(l.functorMaybe)(r.guard(l.monadZeroMaybe)(t(n)(u)))(n)}))}}}};return function(e){return function(r){if(a.eq(n.Ord0().Eq0())(e)(r))return v.singleton(t)(e);if(m.lessThan(n.Ord0())(e)(r))return v.unfoldr1(t)(o(D(n))(m.lessThanOrEq(n.Ord0()))(r))(e);if(u.otherwise)return v.unfoldr1(t)(o(q(n))(m.greaterThanOrEq(n.Ord0()))(r))(e);throw new Error("Failed pattern match at Data.Enum (line 183, column 14 - line 187, column 51): "+[e.constructor.name,r.constructor.name])}}}},G=function(n){return function(t){return function(e){return function(r){return function(o){return function(i){var a,c,d,m=j(e)(i),s=j(e)(o),h=j(e)(r);return f.map(t)((c=l.fromJust(),d=y(e),function(n){return c(d(n))}))(E.unfoldr(n)((a=s-h|0,function(n){return function(t){if(t<=n)return new l.Just(new w.Tuple(t,t+a|0));if(u.otherwise)return l.Nothing.value;throw new Error("Failed pattern match at Data.Enum (line 214, column 5 - line 216, column 28): "+[a.constructor.name,n.constructor.name,t.constructor.name])}})(m))(h))}}}}}},R=function(n){return function(t){return new g(function(){return i.ordEither(n.Enum1().Ord0())(t.Enum1().Ord0())},function(e){if(e instanceof i.Left)return l.maybe(l.Nothing.value)(function(n){return l.Just.create(i.Left.create(n))})(q(n.Enum1())(e.value0));if(e instanceof i.Right)return l.maybe(new l.Just(new i.Left(o.top(n.Bounded0()))))(function(n){return l.Just.create(i.Right.create(n))})(q(t.Enum1())(e.value0));throw new Error("Failed pattern match at Data.Enum (line 86, column 1 - line 90, column 69): "+[e.constructor.name])},function(e){if(e instanceof i.Left)return l.maybe(new l.Just(new i.Right(o.bottom(t.Bounded0()))))(function(n){return l.Just.create(i.Left.create(n))})(D(n.Enum1())(e.value0));if(e instanceof i.Right)return l.maybe(l.Nothing.value)(function(n){return l.Just.create(i.Right.create(n))})(D(t.Enum1())(e.value0));throw new Error("Failed pattern match at Data.Enum (line 86, column 1 - line 90, column 69): "+[e.constructor.name])})}},S=new g(function(){return m.ordBoolean},function(n){return n?new l.Just(!1):l.Nothing.value},function(n){return n?l.Nothing.value:new l.Just(!0)}),Z=function(n){return function(e){return v.unfoldr1(e)(t.apply(t.applyFn)(w.Tuple.create)(q(n)))}},A=function(n){return new w.Tuple(n,n)},P=function(n){return function(t){return E.unfoldr(t)((e=f.map(l.functorMaybe)(A),r=q(n),function(n){return e(r(n))}));var e,r}},W=function(n){return function(t){return E.unfoldr(t)((e=f.map(l.functorMaybe)(A),r=D(n),function(n){return e(r(n))}));var e,r}},k=function(n){return function(t){return function(e){var r;return e<0?l.Nothing.value:(r=e,function(n){var e,u=r,o=!1;function i(e,r){if(0===e)return o=!0,new l.Just(r);var i=D(t)(r);if(i instanceof l.Just)return u=e-1|0,void(n=i.value0);if(i instanceof l.Nothing)return o=!0,l.Nothing.value;throw new Error("Failed pattern match at Data.Enum (line 293, column 12 - line 295, column 33): "+[i.constructor.name])}for(;!o;)e=i(u,n);return e})(o.bottom(n))}}},z=function(n){return function(t){return function(e){return n(t(e)+1|0)}}},H=function(n){return function(t){return function(e){return n(t(e)-1|0)}}},K=function(n){var t;return 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0===n?new l.Just(p.unit):l.Nothing.value}),nn=new J(function(){return o.boundedOrdering},function(){return I},3,function(n){if(n instanceof s.LT)return 0;if(n instanceof s.EQ)return 1;if(n instanceof s.GT)return 2;throw new Error("Failed pattern match at Data.Enum (line 137, column 1 - line 145, column 18): "+[n.constructor.name])},function(n){return 0===n?new l.Just(s.LT.value):1===n?new l.Just(s.EQ.value):2===n?new l.Just(s.GT.value):l.Nothing.value}),tn=new J(function(){return o.boundedChar},function(){return Y},n.toCharCode(o.top(o.boundedChar))-n.toCharCode(o.bottom(o.boundedChar))|0,n.toCharCode,X),en=new J(function(){return o.boundedBoolean},function(){return S},2,function(n){if(!n)return 0;if(n)return 1;throw new Error("Failed pattern match at Data.Enum (line 118, column 1 - line 124, column 20): "+[n.constructor.name])},function(n){return 0===n?new l.Just(!1):1===n?new l.Just(!0):l.Nothing.value});module.exports={Enum:g,succ:D,pred:q,BoundedEnum:J,cardinality:$,toEnum:y,fromEnum:j,toEnumWithDefaults:x,Cardinality:b,enumFromTo:Q,enumFromThenTo:G,upFrom:W,upFromIncluding:T,downFrom:P,downFromIncluding:Z,defaultSucc:z,defaultPred:H,defaultCardinality:V,defaultToEnum:k,defaultFromEnum:K,enumBoolean:S,enumInt:U,enumChar:Y,enumUnit:B,enumOrdering:I,enumMaybe:L,enumEither:R,enumTuple:M,boundedEnumBoolean:en,boundedEnumChar:tn,boundedEnumUnit:_,boundedEnumOrdering:nn,newtypeCardinality:F,eqCardinality:O,ordCardinality:N,showCardinality:C}; +},{"./foreign.js":"Yzse","../Control.Apply/index.js":"QcLv","../Control.Bind/index.js":"7VcT","../Control.MonadZero/index.js":"lD5R","../Data.Boolean/index.js":"ObQr","../Data.Bounded/index.js":"kcUU","../Data.Either/index.js":"B2JL","../Data.Eq/index.js":"Pq4F","../Data.Function/index.js":"ImXJ","../Data.Functor/index.js":"+0AE","../Data.Maybe/index.js":"5mN7","../Data.Newtype/index.js":"lz8k","../Data.Ord/index.js":"r4Vb","../Data.Ordering/index.js":"5Eun","../Data.Show/index.js":"mFY7","../Data.Tuple/index.js":"II/O","../Data.Unfoldable/index.js":"77+Z","../Data.Unfoldable1/index.js":"S0Nl","../Data.Unit/index.js":"NhVk"}],"EM+K":[function(require,module,exports) { +"use strict";var n=require("../Data.Array.NonEmpty/index.js"),r=require("../Data.Maybe/index.js"),t=require("../Data.Semigroup.Foldable/index.js"),e=require("../Data.String.CodeUnits/index.js"),u=require("../Data.String.NonEmpty.Internal/index.js"),o=require("../Data.String.Unsafe/index.js"),i=require("../Unsafe.Coerce/index.js"),a=i.unsafeCoerce,f=function(n){return function(r){return a(r+e.singleton(n))}},c=function(n){return a(e.singleton(n))},s=i.unsafeCoerce,l=function(n){var r=s(e.takeWhile(n));return function(n){return u.fromString(r(n))}},h=function(n){var r=e["lastIndexOf'"](n);return function(n){return s(r(n))}},g=function(n){return s(e.lastIndexOf(n))},d=function(n){var r=e["indexOf'"](n);return function(n){return s(r(n))}},m=function(n){return s(e.indexOf(n))},v=i.unsafeCoerce,x=function(n){return e.length(v(n))},p=function(n){return function(r){var t=e.splitAt(n)(v(r));return{before:u.fromString(t.before),after:u.fromString(t.after)}}},y=function(n){return function(t){var u=v(t);return n<1?r.Nothing.value:new r.Just(a(e.take(n)(u)))}},A=function(n){return function(t){var u=v(t);return n<1?r.Nothing.value:new r.Just(a(e.takeRight(n)(u)))}},C=function(n){return e.toChar(v(n))},N=function(n){return e.toCharArray(v(n))},S=function(){var t=r.fromJust();return function(r){return t(n.fromArray(N(r)))}}(),O=function(n){var r=v(n);return{head:o.charAt(0)(r),tail:u.fromString(e.drop(1)(r))}},j=function(n){var r=t.fold1(n)(u.semigroupNonEmptyString);return function(n){return r(n)}},q=function(n){return 0===n.length?r.Nothing.value:new r.Just(a(e.fromCharArray(n)))},J=function(){var t=r.fromJust();return function(r){return t(q(n.toArray(r)))}}(),k=function(n){var r=s(e.dropWhile(n));return function(n){return u.fromString(r(n))}},D=function(n){return function(t){var u=v(t);return n>=e.length(u)?r.Nothing.value:new r.Just(a(e.dropRight(n)(u)))}},b=function(n){return function(t){var u=v(t);return n>=e.length(u)?r.Nothing.value:new r.Just(a(e.drop(n)(u)))}},w=function(n){return s(e.countPrefix(n))},E=function(n){return function(r){return a(e.singleton(n)+r)}},I=function(n){return s(e.charAt(n))};module.exports={fromCharArray:q,fromNonEmptyCharArray:J,singleton:c,cons:E,snoc:f,fromFoldable1:j,toCharArray:N,toNonEmptyCharArray:S,charAt:I,toChar:C,indexOf:m,"indexOf'":d,lastIndexOf:g,"lastIndexOf'":h,uncons:O,length:x,take:y,takeRight:A,takeWhile:l,drop:b,dropRight:D,dropWhile:k,countPrefix:w,splitAt:p}; +},{"../Data.Array.NonEmpty/index.js":"eTKN","../Data.Maybe/index.js":"5mN7","../Data.Semigroup.Foldable/index.js":"ht+A","../Data.String.CodeUnits/index.js":"6c6X","../Data.String.NonEmpty.Internal/index.js":"Ph6A","../Data.String.Unsafe/index.js":"5UWM","../Unsafe.Coerce/index.js":"ETUV"}],"nKWe":[function(require,module,exports) { +"use strict";var n=require("../Data.Eq/index.js"),e=require("../Data.Newtype/index.js"),t=require("../Data.Ord/index.js"),r=require("../Data.Show/index.js"),u=function(n){return n},o=function(n){return n},i=new r.Show(function(n){return"(Replacement "+r.show(r.showString)(n)+")"}),c=new r.Show(function(n){return"(Pattern "+r.show(r.showString)(n)+")"}),a=new e.Newtype(function(n){return n},u),w=new e.Newtype(function(n){return n},o),f=new n.Eq(function(n){return function(e){return n===e}}),p=new t.Ord(function(){return f},function(n){return function(e){return t.compare(t.ordString)(n)(e)}}),s=new n.Eq(function(n){return function(e){return n===e}}),d=new t.Ord(function(){return s},function(n){return function(e){return t.compare(t.ordString)(n)(e)}});module.exports={Pattern:o,Replacement:u,eqPattern:s,ordPattern:d,newtypePattern:w,showPattern:c,eqReplacement:f,ordReplacement:p,newtypeReplacement:a,showReplacement:i}; +},{"../Data.Eq/index.js":"Pq4F","../Data.Newtype/index.js":"lz8k","../Data.Ord/index.js":"r4Vb","../Data.Show/index.js":"mFY7"}],"3koD":[function(require,module,exports) { +"use strict";exports.unsafeUnionFn=function(r,n){var a={};for(var o in n)({}).hasOwnProperty.call(n,o)&&(a[o]=n[o]);for(var t in r)({}).hasOwnProperty.call(r,t)&&(a[t]=r[t]);return a}; +},{}],"cB+g":[function(require,module,exports) { +"use strict";exports.mkFn0=function(n){return function(){return n({})}},exports.mkFn2=function(n){return function(r,t){return n(r)(t)}},exports.mkFn3=function(n){return function(r,t,u){return n(r)(t)(u)}},exports.mkFn4=function(n){return function(r,t,u,e){return n(r)(t)(u)(e)}},exports.mkFn5=function(n){return function(r,t,u,e,o){return n(r)(t)(u)(e)(o)}},exports.mkFn6=function(n){return function(r,t,u,e,o,c){return n(r)(t)(u)(e)(o)(c)}},exports.mkFn7=function(n){return function(r,t,u,e,o,c,i){return n(r)(t)(u)(e)(o)(c)(i)}},exports.mkFn8=function(n){return function(r,t,u,e,o,c,i,f){return n(r)(t)(u)(e)(o)(c)(i)(f)}},exports.mkFn9=function(n){return function(r,t,u,e,o,c,i,f,s){return n(r)(t)(u)(e)(o)(c)(i)(f)(s)}},exports.mkFn10=function(n){return function(r,t,u,e,o,c,i,f,s,p){return n(r)(t)(u)(e)(o)(c)(i)(f)(s)(p)}},exports.runFn0=function(n){return n()},exports.runFn2=function(n){return function(r){return function(t){return n(r,t)}}},exports.runFn3=function(n){return function(r){return function(t){return function(u){return n(r,t,u)}}}},exports.runFn4=function(n){return function(r){return function(t){return function(u){return function(e){return n(r,t,u,e)}}}}},exports.runFn5=function(n){return function(r){return function(t){return function(u){return function(e){return function(o){return n(r,t,u,e,o)}}}}}},exports.runFn6=function(n){return function(r){return function(t){return function(u){return function(e){return function(o){return function(c){return n(r,t,u,e,o,c)}}}}}}},exports.runFn7=function(n){return function(r){return function(t){return function(u){return function(e){return function(o){return function(c){return function(i){return n(r,t,u,e,o,c,i)}}}}}}}},exports.runFn8=function(n){return function(r){return function(t){return function(u){return 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n};module.exports={mkFn1:r,runFn1:F,mkFn0:n.mkFn0,mkFn2:n.mkFn2,mkFn3:n.mkFn3,mkFn4:n.mkFn4,mkFn5:n.mkFn5,mkFn6:n.mkFn6,mkFn7:n.mkFn7,mkFn8:n.mkFn8,mkFn9:n.mkFn9,mkFn10:n.mkFn10,runFn0:n.runFn0,runFn2:n.runFn2,runFn3:n.runFn3,runFn4:n.runFn4,runFn5:n.runFn5,runFn6:n.runFn6,runFn7:n.runFn7,runFn8:n.runFn8,runFn9:n.runFn9,runFn10:n.runFn10}; +},{"./foreign.js":"cB+g"}],"WmUk":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),e=require("../Data.Function.Uncurried/index.js"),i=e.runFn2(n.unsafeUnionFn);module.exports={unsafeUnion:i,unsafeUnionFn:n.unsafeUnionFn}; +},{"./foreign.js":"3koD","../Data.Function.Uncurried/index.js":"TowT"}],"0gG4":[function(require,module,exports) { +"use strict";var n=require("../Data.Eq/index.js"),r=require("../Data.Symbol/index.js"),u=require("../Record.Unsafe/index.js"),t=require("../Record.Unsafe.Union/index.js"),e=require("../Type.Data.RowList/index.js"),i=require("../Unsafe.Coerce/index.js"),o=function(n){this.equalFields=n},f=function(n){return function(n){return function(r){return t.unsafeUnionFn(n,r)}}},c=function(n){return function(t){return function(t){return function(t){return function(e){return function(i){return u.unsafeSet(r.reflectSymbol(n)(t))(e)(i)}}}}}},s=function(n){return i.unsafeCoerce},a=function(n){return function(n){return function(n){return function(r){return t.unsafeUnionFn(n,r)}}}},l=function(n){return function(t){return function(t){return function(t){return function(e){return function(i){return u.unsafeSet(r.reflectSymbol(n)(t))(e)(i)}}}}}},d=function(n){return function(t){return function(t){return function(e){return u.unsafeGet(r.reflectSymbol(n)(t))(e)}}}},q=function(n){return function(r){return function(u){return 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n=require("../Control.Alt/index.js"),t=require("../Control.Alternative/index.js"),e=require("../Control.Applicative/index.js"),r=require("../Control.Apply/index.js"),u=require("../Control.Bind/index.js"),o=require("../Control.Lazy/index.js"),i=require("../Control.Monad/index.js"),a=require("../Control.Monad.Cont.Class/index.js"),c=require("../Control.Monad.Error.Class/index.js"),l=require("../Control.Monad.Reader.Class/index.js"),f=require("../Control.Monad.Rec.Class/index.js"),d=require("../Control.Monad.State.Class/index.js"),s=require("../Control.Monad.Trans.Class/index.js"),p=require("../Control.Monad.Writer.Class/index.js"),T=require("../Control.MonadPlus/index.js"),M=require("../Control.MonadZero/index.js"),v=require("../Control.Plus/index.js"),w=require("../Data.Functor/index.js"),S=require("../Data.Newtype/index.js"),C=require("../Data.Tuple/index.js"),m=require("../Data.Unit/index.js"),x=require("../Effect.Class/index.js"),j=function(n){return n},q=function(n){return 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t=require("../Control.Monad.State.Trans/index.js"),e=require("../Data.Identity/index.js"),n=require("../Data.Newtype/index.js"),r=t.withStateT,u=function(t){var r=n.unwrap(e.newtypeIdentity);return function(e){return r(t(e))}},a=function(r){return t.mapStateT((u=n.unwrap(e.newtypeIdentity),function(t){return e.Identity(r(u(t)))}));var u},i=function(t){return function(e){return t(e).value1}},o=function(t){return function(e){return t(e).value0}};module.exports={runState:u,evalState:o,execState:i,mapState:a,withState:r}; +},{"../Control.Monad.State.Trans/index.js":"34Kp","../Data.Identity/index.js":"2OKT","../Data.Newtype/index.js":"lz8k"}],"7S1u":[function(require,module,exports) { +"use strict";exports.random=Math.random; +},{}],"V+tx":[function(require,module,exports) { +"use strict";var r=require("./foreign.js"),n=require("../Data.Functor/index.js"),e=require("../Data.Int/index.js"),t=require("../Effect/index.js"),o=function(n){return function(e){return function(){return 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{ +"use strict";var n=require("../Control.Applicative/index.js"),r=require("../Control.Apply/index.js"),e=require("../Control.Bind/index.js"),t=require("../Control.Category/index.js"),u=require("../Control.Monad.Gen.Class/index.js"),i=require("../Control.Monad.Gen.Common/index.js"),a=require("../Data.Array.NonEmpty/index.js"),o=require("../Data.Array.ST/index.js"),c=require("../Data.Bounded/index.js"),f=require("../Data.Either/index.js"),b=require("../Data.Enum/index.js"),p=require("../Data.Foldable/index.js"),y=require("../Data.Function/index.js"),s=require("../Data.Functor/index.js"),m=require("../Data.Generic.Rep/index.js"),d=require("../Data.Identity/index.js"),l=require("../Data.Int/index.js"),w=require("../Data.Lazy/index.js"),G=require("../Data.List.Types/index.js"),h=require("../Data.Maybe/index.js"),x=require("../Data.Newtype/index.js"),j=require("../Data.NonEmpty/index.js"),q=require("../Data.Ordering/index.js"),v=require("../Data.Semigroup/index.js"),A=require("../Data.String.CodeUnits/index.js"),C=require("../Data.String.Common/index.js"),E=require("../Data.String.NonEmpty.CodeUnits/index.js"),g=require("../Data.String.NonEmpty.Internal/index.js"),D=require("../Data.String.Pattern/index.js"),N=require("../Data.Symbol/index.js"),S=require("../Data.Tuple/index.js"),L=require("../Data.Unit/index.js"),I=require("../Record/index.js"),T=require("../Test.QuickCheck.Gen/index.js"),F=require("../Type.Data.RowList/index.js"),R=function(n){this.coarbitrary=n},k=function(n){this.arbitraryRecord=n},P=function(n){this.arbitraryGenericSum=n},Q=function(n){this.arbitrary=n},M=new 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Q(r.apply(T.applyGen)(s.map(T.functorGen)(j.NonEmpty.create)(ln(e)))(ln(n)))}},Ln=function(n){return new Q(s.map(T.functorGen)(G.NonEmptyList)(ln(Sn(jn(n))(n))))},In=function(n){return new Q(i.genMaybe(T.monadGenGen)(ln(n)))},Tn=new Q(T.chooseInt(-1e6)(1e6)),Fn=function(n){return function(r){return new P(v.append(v.semigroupArray)([s.map(T.functorGen)(m.Inl.create)(ln(n))])(s.map(s.functorArray)(s.map(T.functorGen)(m.Inr.create))(dn(r))))}},Rn=function(n){return new P([ln(Gn(n))])},kn=function(n){return function(r){return new Q(T.repeatable(function(e){return O(n)(e)(ln(r))}))}},Pn=function(n){return function(r){return new Q(i.genEither(T.monadGenGen)(ln(n))(ln(r)))}},Qn=new Q(s.map(T.functorGen)(b.toEnumWithDefaults(b.boundedEnumChar)(c.bottom(c.boundedChar))(c.top(c.boundedChar)))(T.chooseInt(0)(65536))),Mn=new Q(u.chooseBool(T.monadGenGen)),On=function(n){return new Q(T.arrayOf(ln(n)))},zn=function(r){return new Q(e.bind(T.bindGen)(ln(r))(function(t){return e.bind(T.bindGen)(ln(On(r)))(function(r){return n.pure(T.applicativeGen)(h.fromJust()(a.fromArray(function(){var n=o.unsafeThaw(r)();o.push(t)(n)();return o.unsafeFreeze(n)()}())))})}))},Bn=new Q(s.map(T.functorGen)(A.fromCharArray)(ln(On(Qn)))),Un=new Q(r.apply(T.applyGen)(s.map(T.functorGen)(E.cons)(ln(Qn)))(ln(Bn))),Jn=function(n){return function(r){return new R(function(t){return function(u){return e.bind(T.bindGen)(ln(On(n)))(function(n){return O(on(r))(s.map(s.functorArray)(t)(n))(u)})}})}};module.exports={Arbitrary:Q,arbitrary:ln,Coarbitrary:R,coarbitrary:O,genericArbitrary:Cn,genericCoarbitrary:W,ArbitraryGenericSum:P,arbitraryGenericSum:dn,ArbitraryRowList:k,arbitraryRecord:yn,arbBoolean:Mn,coarbBoolean:an,arbNumber:Nn,coarbNumber:X,arbInt:Tn,coarbInt:rn,arbString:Bn,coarbString:fn,arbNonEmptyString:Un,coarbNonEmptyString:bn,arbChar:Qn,coarbChar:un,arbUnit:En,coarbUnit:H,arbOrdering:Dn,coarbOrdering:V,arbArray:On,coarbArray:on,arbNonEmptyArray:zn,coarbNonEmptyArray:cn,arbFunction:kn,coarbFunction:Jn,arbTuple:gn,coarbTuple:K,arbMaybe:In,coarbMaybe:Z,arbEither:Pn,coarbEither:tn,arbitraryList:jn,coarbList:$,arbitraryIdentity:hn,coarbIdentity:en,arbitraryLazy:xn,coarbLazy:nn,arbNonEmpty:Sn,coarbNonEmpty:Y,arbNonEmptyList:Ln,coarbNonEmptyList:_,arbitraryNoArguments:mn,coarbitraryNoArguments:M,arbGenSumSum:Fn,arbGenSumConstructor:Rn,arbitrarySum:An,coarbitrarySum:J,arbitraryProduct:qn,coarbitraryProduct:U,arbitraryConstructor:Gn,coarbitraryConstructor:B,arbitraryArgument:wn,coarbitraryArgument:z,arbitraryRowListNil:pn,arbitraryRowListCons:vn,arbitraryRecordInstance:sn}; 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{ +"use strict";var n=require("../Control.Applicative/index.js"),r=require("../Control.Apply/index.js"),e=require("../Control.Bind/index.js"),u=require("../Control.Monad/index.js"),t=require("../Data.Distributive/index.js"),i=require("../Data.Eq/index.js"),a=require("../Data.Foldable/index.js"),o=require("../Data.Functor/index.js"),c=require("../Data.Monoid/index.js"),l=require("../Data.Ord/index.js"),f=require("../Data.Ordering/index.js"),v=require("../Data.Semigroup/index.js"),p=require("../Data.Show/index.js"),d=require("../Data.Traversable/index.js"),s=require("../Test.QuickCheck.Arbitrary/index.js"),w=require("../Test.QuickCheck.Gen/index.js"),q=function(){function n(n,r){this.value0=n,this.value1=r}return n.create=function(r){return function(e){return new n(r,e)}},n}(),m=function(n){return function(r){return n(r.value0)(r.value1)}},y=function(n){return new q(n.value1,n.value0)},x=function(n){return n.value1},j=function(n){return new 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q(n.value0(r.value0),n.value1(r.value1))}}),M=new e.Bind(function(){return k},function(n){return function(r){return new q(A(r(n.value0)),x(r(n.value1)))}}),E=new n.Applicative(function(){return k},function(n){return new q(n,n)}),O=new u.Monad(function(){return E},function(){return M});module.exports={Pair:q,fst:A,snd:x,curry:S,uncurry:m,swap:y,eqPair:g,ordPair:C,showPair:j,functorPair:D,applyPair:k,applicativePair:E,bindPair:M,monadPair:O,semigroupPair:b,monoidPair:P,foldablePair:h,traversablePair:T,distributivePair:F,arbitraryPair:G}; 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{ +"use strict";var e=function(){function e(){this.head=null,this.last=null,this.size=0}function n(e,n){this.queue=e,this.value=n,this.next=null,this.prev=null}function t(n){this.draining=!1,this.error=null,this.value=n,this.takes=new e,this.reads=new e,this.puts=new e}var r={};function u(e){try{e()}catch(n){setTimeout(function(){throw n},0)}}function a(e){var n;switch(e.size){case 0:return null;case 1:n=e.head,e.head=null;break;case 2:n=e.last,e.head.next=null,e.last=null;break;default:n=e.last,e.last=n.prev,e.last.next=null}return n.prev=null,n.queue=null,e.size--,n.value}function l(e){var n;switch(e.size){case 0:return null;case 1:n=e.head,e.head=null;break;case 2:n=e.head,e.last.prev=null,e.head=e.last,e.last=null;break;default:n=e.head,e.head=n.next,e.head.prev=null}return n.next=null,n.queue=null,e.size--,n.value}return t.EMPTY=r,t.putLast=function(e,t){var r=new n(e,t);switch(e.size){case 0:e.head=r;break;case 1:r.prev=e.head,e.head.next=r,e.last=r;break;default:r.prev=e.last,e.last.next=r,e.last=r}return e.size++,r},t.takeLast=a,t.takeHead=l,t.deleteCell=function(e){null!==e.queue&&(e.queue.last!==e?e.queue.head!==e?(e.prev&&(e.prev.next=e.next),e.next&&(e.next.prev=e.prev),e.queue.size--,e.queue=null,e.value=null,e.next=null,e.prev=null):l(e.queue):a(e.queue))},t.drainVar=function(e,n){if(!n.draining){var t,a,i,s,o,c=n.puts,f=n.takes,v=n.reads;for(n.draining=!0;;){if(t=null,a=null,i=null,s=n.value,o=v.size,null!==n.error){for(s=e.left(n.error);t=l(c);)u(t.cb(s));for(;a=l(v);)u(a(s));for(;i=l(f);)u(i(s));break}if(s===r&&(t=l(c))&&(n.value=s=t.value),s!==r){for(i=l(f);o--&&(a=l(v));)u(a(e.right(s)));null!==i&&(n.value=r,u(i(e.right(s))))}if(null!==t&&u(t.cb(e.right(void 0))),n.value===r&&0===c.size||n.value!==r&&0===f.size)break}n.draining=!1}},t}();exports.empty=function(){return new e(e.EMPTY)},exports._newVar=function(n){return function(){return new e(n)}},exports._killVar=function(n,t,r){return function(){null===r.error&&(r.error=t,r.value=e.EMPTY,e.drainVar(n,r))}},exports._putVar=function(n,t,r,u){return function(){var a=e.putLast(r.puts,{cb:u,value:t});return e.drainVar(n,r),function(){e.deleteCell(a)}}},exports._takeVar=function(n,t,r){return function(){var u=e.putLast(t.takes,r);return e.drainVar(n,t),function(){e.deleteCell(u)}}},exports._readVar=function(n,t,r){return function(){var u=e.putLast(t.reads,r);return e.drainVar(n,t),function(){e.deleteCell(u)}}},exports._tryPutVar=function(n,t,r){return function(){return r.value===e.EMPTY&&null===r.error&&(r.value=t,e.drainVar(n,r),!0)}},exports._tryTakeVar=function(n,t){return function(){var r=t.value;return r===e.EMPTY?n.nothing:(t.value=e.EMPTY,e.drainVar(n,t),n.just(r))}},exports._tryReadVar=function(n,t){return function(){return t.value===e.EMPTY?n.nothing:n.just(t.value)}},exports._status=function(n,t){return function(){return t.error?n.killed(t.error):t.value===e.EMPTY?n.empty:n.filled(t.value)}}; +},{}],"XiHq":[function(require,module,exports) { +"use strict";var t=require("./foreign.js"),n=require("../Data.Either/index.js"),e=require("../Data.Maybe/index.js"),r=function(){function t(t){this.value0=t}return t.create=function(n){return new t(n)},t}(),u=function(){function t(t){this.value0=t}return t.create=function(n){return new t(n)},t}(),i=function(){function t(){}return t.value=new t,t}(),a=t._newVar,c=function(t){return t instanceof r},o=function(t){return t instanceof u},f=function(t){return t instanceof i},l={left:n.Left.create,right:n.Right.create,nothing:e.Nothing.value,just:e.Just.create,killed:r.create,filled:u.create,empty:i.value},s=function(n){return function(e){return t._killVar(l,n,e)}},d=function(n){return function(e){return function(r){return t._putVar(l,n,e,r)}}},y=function(n){return function(e){return t._readVar(l,n,e)}},_=function(n){return t._status(l,n)},p=function(n){return function(e){return t._takeVar(l,n,e)}},V=function(n){return function(e){return t._tryPutVar(l,n,e)}},h=function(n){return t._tryReadVar(l,n)},k=function(n){return t._tryTakeVar(l,n)};module.exports={Killed:r,Filled:u,Empty:i,new:a,take:p,tryTake:k,put:d,tryPut:V,read:y,tryRead:h,kill:s,status:_,isEmpty:f,isFilled:o,isKilled:c,empty:t.empty}; +},{"./foreign.js":"89Lg","../Data.Either/index.js":"B2JL","../Data.Maybe/index.js":"5mN7"}],"hACG":[function(require,module,exports) { +"use strict";var t=require("../Effect.AVar/index.js"),f=require("../Effect.Aff/index.js"),n=require("../Effect.Class/index.js"),e=function(){var e=n.liftEffect(f.monadEffectAff);return function(f){return e(t.tryTake(f))}}(),r=function(){var e=n.liftEffect(f.monadEffectAff);return function(f){return e(t.tryRead(f))}}(),u=function(e){var r=n.liftEffect(f.monadEffectAff),u=t.tryPut(e);return function(t){return r(u(t))}},c=function(n){return f.makeAff(function(e){return function(){var r=t.take(n)(e)();return f.effectCanceler(r)}})},i=function(){var e=n.liftEffect(f.monadEffectAff);return function(f){return e(t.status(f))}}(),a=function(n){return f.makeAff(function(e){return function(){var r=t.read(n)(e)();return f.effectCanceler(r)}})},o=function(n){return function(e){return f.makeAff(function(r){return function(){var u=t.put(n)(e)(r)();return f.effectCanceler(u)}})}},E=function(){var e=n.liftEffect(f.monadEffectAff);return function(f){return e(t.new(f))}}(),l=function(e){var r=n.liftEffect(f.monadEffectAff),u=t.kill(e);return function(t){return r(u(t))}},d=n.liftEffect(f.monadEffectAff)(t.empty);module.exports={new:E,empty:d,status:i,take:c,tryTake:e,put:o,tryPut:u,read:a,tryRead:r,kill:l}; +},{"../Effect.AVar/index.js":"XiHq","../Effect.Aff/index.js":"I7lu","../Effect.Class/index.js":"dWtH"}],"ty16":[function(require,module,exports) { +"use strict";exports.log=function(n){return function(){return console.log(n),{}}},exports.warn=function(n){return function(){return console.warn(n),{}}},exports.error=function(n){return function(){return console.error(n),{}}},exports.info=function(n){return function(){return console.info(n),{}}},exports.time=function(n){return function(){return console.time(n),{}}},exports.timeEnd=function(n){return function(){return console.timeEnd(n),{}}}; +},{}],"+3bp":[function(require,module,exports) { +"use strict";var r=require("./foreign.js"),n=require("../Data.Show/index.js"),o=function(o){return function(e){return r.warn(n.show(o)(e))}},e=function(o){return function(e){return r.log(n.show(o)(e))}},t=function(o){return function(e){return r.info(n.show(o)(e))}},i=function(o){return function(e){return r.error(n.show(o)(e))}};module.exports={logShow:e,warnShow:o,errorShow:i,infoShow:t,log:r.log,warn:r.warn,error:r.error,info:r.info,time:r.time,timeEnd:r.timeEnd}; +},{"./foreign.js":"ty16","../Data.Show/index.js":"mFY7"}],"3Dts":[function(require,module,exports) { +"use strict";var n=require("../Effect.Class/index.js"),r=require("../Effect.Console/index.js"),t=function(t){return function(f){var e=n.liftEffect(t),u=r.warnShow(f);return function(n){return e(u(n))}}},f=function(t){var f=n.liftEffect(t);return function(n){return f(r.warn(n))}},e=function(t){var f=n.liftEffect(t);return function(n){return f(r.timeEnd(n))}},u=function(t){var f=n.liftEffect(t);return function(n){return f(r.time(n))}},o=function(t){return function(f){var e=n.liftEffect(t),u=r.logShow(f);return function(n){return e(u(n))}}},i=function(t){var f=n.liftEffect(t);return function(n){return f(r.log(n))}},c=function(t){return function(f){var e=n.liftEffect(t),u=r.infoShow(f);return function(n){return e(u(n))}}},l=function(t){var f=n.liftEffect(t);return function(n){return f(r.info(n))}},a=function(t){return function(f){var e=n.liftEffect(t),u=r.errorShow(f);return function(n){return e(u(n))}}},E=function(t){var f=n.liftEffect(t);return function(n){return f(r.error(n))}};module.exports={log:i,logShow:o,warn:f,warnShow:t,error:E,errorShow:a,info:l,infoShow:c,time:u,timeEnd:e}; +},{"../Effect.Class/index.js":"dWtH","../Effect.Console/index.js":"+3bp"}],"kKQF":[function(require,module,exports) { +"use strict";function t(o){return(t="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(o)}exports.unsafeToForeign=function(t){return t},exports.unsafeFromForeign=function(t){return t},exports.typeOf=function(o){return t(o)},exports.tagOf=function(t){return Object.prototype.toString.call(t).slice(8,-1)},exports.isNull=function(t){return null===t},exports.isUndefined=function(t){return void 0===t},exports.isArray=Array.isArray||function(t){return"[object Array]"===Object.prototype.toString.call(t)}; +},{}],"XAY7":[function(require,module,exports) { +"use strict";var n=require("../Control.Bind/index.js"),t=require("../Control.Category/index.js"),e=require("../Data.Boolean/index.js"),r=require("../Data.Eq/index.js"),u=require("../Data.Function/index.js"),o=require("../Data.Functor/index.js"),i=require("../Data.FunctorWithIndex/index.js"),a=require("../Data.List/index.js"),c=require("../Data.List.Types/index.js"),l=require("../Data.Maybe/index.js"),f=require("../Data.NonEmpty/index.js"),s=require("../Data.Ord/index.js"),m=require("../Data.Semigroup/index.js"),p=require("../Data.Semigroup.Traversable/index.js"),v=require("../Data.Tuple/index.js"),d=require("../Data.Unfoldable/index.js"),y=require("../Partial.Unsafe/index.js"),w=function(n){return function(t){return function(e){return new f.NonEmpty(n(t.value0)(e.value0),a.zipWith(n)(t.value1)(e.value1))}}},h=function(n){return function(t){return function(e){return function(r){return p.sequence1(c.traversable1NonEmptyList)(n.Apply0())(w(t)(e)(r))}}}},E=w(v.Tuple.create),N=function(n){return function(t){return function(e){return function(r){var u=t(new c.Cons(e.value0,e.value1))(new c.Cons(r.value0,r.value1));if(u instanceof c.Cons)return new f.NonEmpty(u.value0,u.value1);if(u instanceof c.Nil)return y.unsafeCrashWith("Impossible: empty list in NonEmptyList "+n);throw new Error("Failed pattern match at Data.List.NonEmpty (line 104, column 3 - line 106, column 81): "+[u.constructor.name])}}}},b=function(n){return function(t){return function(e){var r=t(new c.Cons(e.value0,e.value1));if(r instanceof c.Cons)return new f.NonEmpty(r.value0,r.value1);if(r instanceof c.Nil)return y.unsafeCrashWith("Impossible: empty list in NonEmptyList "+n);throw new Error("Failed pattern match at Data.List.NonEmpty (line 91, column 3 - line 93, column 81): "+[r.constructor.name])}}},L=function(n){return function(t){return function(r){if(0===n)return new l.Just(new f.NonEmpty(t,r.value1));if(e.otherwise)return o.map(l.functorMaybe)(function(n){return c.NonEmptyList((t=n,new f.NonEmpty(r.value0,t)));var t})(a.updateAt(n-1|0)(t)(r.value1));throw new Error("Failed pattern match at Data.List.NonEmpty (line 197, column 1 - line 197, column 75): "+[n.constructor.name,t.constructor.name,r.constructor.name])}}},x=function(n){return new v.Tuple(o.map(c.functorNonEmptyList)(v.fst)(n),o.map(c.functorNonEmptyList)(v.snd)(n))},D=function(n){var t=a.unsnoc(n.value1);if(t instanceof l.Nothing)return{init:c.Nil.value,last:n.value0};if(t instanceof l.Just)return{init:new c.Cons(n.value0,t.value0.init),last:t.value0.last};throw new Error("Failed pattern match at Data.List.NonEmpty (line 159, column 35 - line 161, column 50): "+[t.constructor.name])},g=function(){var n=N("unionBy");return function(t){return n(a.unionBy(t))}}(),q=function(n){return N("union")(a.union(n))},F=function(n){return{head:n.value0,tail:n.value1}},B=function(n){return new c.Cons(n.value0,n.value1)},C=function(n){var t=d.unfoldr(n)(function(n){return o.map(l.functorMaybe)(function(n){return new v.Tuple(n.head,n.tail)})(a.uncons(n))});return function(n){return t(B(n))}},j=function(n){return n.value1},M=function(){var n=b("sortBy");return function(t){return n(a.sortBy(t))}}(),W=function(n){return function(t){return M(s.compare(n))(t)}},I=function(n){return function(t){return new f.NonEmpty(n.value0,a.snoc(n.value1)(t))}},J=function(){var n=f.singleton(c.plusList);return function(t){return c.NonEmptyList(n(t))}}(),A=function(n){return function(t){if(n instanceof c.Cons)return new f.NonEmpty(n.value0,a.snoc(n.value1)(t));if(n instanceof c.Nil)return J(t);throw new Error("Failed pattern match at Data.List.NonEmpty (line 139, column 1 - line 139, column 51): "+[n.constructor.name,t.constructor.name])}},T=b("reverse")(a.reverse),z=function(){var n=b("nubBy");return function(t){return n(a.nubBy(t))}}(),k=function(n){return b("nub")(a.nub(n))},U=function(n){return function(t){return function(r){if(0===n)return new l.Just(new f.NonEmpty(t(r.value0),r.value1));if(e.otherwise)return o.map(l.functorMaybe)(function(n){return c.NonEmptyList((t=n,new f.NonEmpty(r.value0,t)));var t})(a.modifyAt(n-1|0)(t)(r.value1));throw new Error("Failed pattern match at Data.List.NonEmpty (line 202, column 1 - line 202, column 82): "+[n.constructor.name,t.constructor.name,r.constructor.name])}}},S=i.mapWithIndex(c.functorWithIndexNonEmptyList),O=function(n){return function(t){return n(new c.Cons(t.value0,t.value1))}},P=function(n){return O(a.mapMaybe(n))},G=function(n){return O(a.partition(n))},H=function(n){return O(a.span(n))},K=function(n){return O(a.take(n))},Q=function(n){return O(a.takeWhile(n))},R=function(n){return 1+a.length(n.value1)|0},V=function(n){return l.fromMaybe(n.value0)(a.last(n.value1))},X=function(){var n=N("intersectBy");return function(t){return n(a.intersectBy(t))}}(),Y=function(n){return N("intersect")(a.intersect(n))},Z=function(n){return function(t){return function(r){if(0===n)return new l.Just(new f.NonEmpty(t,new c.Cons(r.value0,r.value1)));if(e.otherwise)return o.map(l.functorMaybe)(function(n){return c.NonEmptyList((t=n,new f.NonEmpty(r.value0,t)));var t})(a.insertAt(n-1|0)(t)(r.value1));throw new Error("Failed pattern match at Data.List.NonEmpty (line 192, column 1 - line 192, column 75): "+[n.constructor.name,t.constructor.name,r.constructor.name])}}},$=function(n){return l.maybe(c.Nil.value)(function(t){return new c.Cons(n.value0,t)})(a.init(n.value1))},_=function(n){return function(t){if(0===t)return new l.Just(n.value0);if(e.otherwise)return a.index(n.value1)(t-1|0);throw new Error("Failed pattern match at Data.List.NonEmpty (line 166, column 1 - line 166, column 52): "+[n.constructor.name,t.constructor.name])}},nn=function(n){return n.value0},tn=function(){var n=b("groupBy");return function(t){return n(a.groupBy(t))}}(),en=function(n){return b("group'")(a["group'"](n))},rn=function(n){return b("group")(a.group(n))},un=function(n){if(n instanceof c.Nil)return l.Nothing.value;if(n instanceof c.Cons)return new l.Just(new f.NonEmpty(n.value0,n.value1));throw new Error("Failed pattern match at Data.List.NonEmpty (line 120, column 1 - line 120, column 57): "+[n.constructor.name])},on=function(n){var t=a.fromFoldable(n);return function(n){return un(t(n))}},an=function(t){return function(e){return function(r){return function(u){return n.bind(t.Bind1())(e(r)(u.value0))(function(n){return a.foldM(t)(e)(n)(u.value1)})}}}},cn=function(n){return function(t){var r=a.findLastIndex(n)(t.value1);if(r instanceof l.Just)return new l.Just(r.value0+1|0);if(r instanceof l.Nothing){if(n(t.value0))return new l.Just(0);if(e.otherwise)return l.Nothing.value}throw new Error("Failed pattern match at Data.List.NonEmpty (line 186, column 3 - line 190, column 29): "+[r.constructor.name])}},ln=function(n){return function(t){if(n(t.value0))return new l.Just(0);if(e.otherwise)return o.map(l.functorMaybe)(function(n){return n+1|0})(a.findIndex(n)(t.value1));throw new Error("Failed pattern match at Data.List.NonEmpty (line 179, column 1 - line 179, column 69): "+[n.constructor.name,t.constructor.name])}},fn=function(n){var t=a.filterM(n);return function(n){return O(t(n))}},sn=function(n){return O(a.filter(n))},mn=function(n){return function(t){return cn(function(e){return r.eq(n)(e)(t)})}},pn=function(n){return function(t){return ln(function(e){return r.eq(n)(e)(t)})}},vn=function(n){return O(a.dropWhile(n))},dn=function(n){return O(a.drop(n))},yn=function(n){return function(t){return new f.NonEmpty(n,t)}},wn=function(n){return function(t){return new f.NonEmpty(n,new c.Cons(t.value0,t.value1))}},hn=u.flip(n.bind(c.bindNonEmptyList)),En=function(e){return n.bind(c.bindNonEmptyList)(e)(t.identity(t.categoryFn))},Nn=O(a.catMaybes),bn=function(n){return function(t){return function(e){return new f.NonEmpty(t.value0,m.append(c.semigroupList)(t.value1)(a.fromFoldable(n)(e)))}}};module.exports={toUnfoldable:C,fromFoldable:on,fromList:un,toList:B,singleton:J,length:R,cons:wn,"cons'":yn,snoc:I,"snoc'":A,head:nn,last:V,tail:j,init:$,uncons:F,unsnoc:D,index:_,elemIndex:pn,elemLastIndex:mn,findIndex:ln,findLastIndex:cn,insertAt:Z,updateAt:L,modifyAt:U,reverse:T,concat:En,concatMap:hn,filter:sn,filterM:fn,mapMaybe:P,catMaybes:Nn,appendFoldable:bn,mapWithIndex:S,sort:W,sortBy:M,take:K,takeWhile:Q,drop:dn,dropWhile:vn,span:H,group:rn,"group'":en,groupBy:tn,partition:G,nub:k,nubBy:z,union:q,unionBy:g,intersect:Y,intersectBy:X,zipWith:w,zipWithA:h,zip:E,unzip:x,foldM:an}; 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e=require("./foreign.js"),n=require("../Control.Applicative/index.js"),r=require("../Control.Monad.Error.Class/index.js"),t=require("../Control.Monad.Except/index.js"),a=require("../Control.Monad.Except.Trans/index.js"),i=require("../Data.Boolean/index.js"),o=require("../Data.Either/index.js"),u=require("../Data.Eq/index.js"),c=require("../Data.Function/index.js"),l=require("../Data.Identity/index.js"),s=require("../Data.Int/index.js"),f=require("../Data.List.NonEmpty/index.js"),d=require("../Data.Maybe/index.js"),v=require("../Data.Ord/index.js"),p=require("../Data.Ordering/index.js"),m=require("../Data.Show/index.js"),h=require("../Data.String.CodeUnits/index.js"),w=function(){function e(e){this.value0=e}return e.create=function(n){return new e(n)},e}(),g=function(){function e(e,n){this.value0=e,this.value1=n}return e.create=function(n){return function(r){return new e(n,r)}},e}(),E=function(){function e(e,n){this.value0=e,this.value1=n}return e.create=function(n){return function(r){return new e(n,r)}},e}(),T=function(){function e(e,n){this.value0=e,this.value1=n}return e.create=function(n){return function(r){return new e(n,r)}},e}(),x=new m.Show(function(e){if(e instanceof w)return"(ForeignError "+m.show(m.showString)(e.value0)+")";if(e instanceof E)return"(ErrorAtIndex "+m.show(m.showInt)(e.value0)+" "+m.show(x)(e.value1)+")";if(e instanceof T)return"(ErrorAtProperty "+m.show(m.showString)(e.value0)+" "+m.show(x)(e.value1)+")";if(e instanceof g)return"(TypeMismatch "+m.show(m.showString)(e.value0)+" "+m.show(m.showString)(e.value1)+")";throw new Error("Failed pattern match at Foreign (line 63, column 1 - line 67, column 89): "+[e.constructor.name])}),F=function e(n){if(n instanceof w)return n.value0;if(n instanceof E)return"Error at array index "+m.show(m.showInt)(n.value0)+": "+e(n.value1);if(n instanceof T)return"Error at property "+m.show(m.showString)(n.value0)+": "+e(n.value1);if(n instanceof g)return"Type mismatch: expected "+n.value0+", found "+n.value1;throw new Error("Failed pattern match at Foreign (line 72, column 1 - line 72, column 45): "+[n.constructor.name])},y=function(r){if(e.isUndefined(r))return n.pure(a.applicativeExceptT(l.monadIdentity))(d.Nothing.value);if(i.otherwise)return n.pure(a.applicativeExceptT(l.monadIdentity))(new d.Just(r));throw new Error("Failed pattern match at Foreign (line 157, column 1 - line 157, column 46): "+[r.constructor.name])},q=function(r){if(e.isNull(r)||e.isUndefined(r))return n.pure(a.applicativeExceptT(l.monadIdentity))(d.Nothing.value);if(i.otherwise)return n.pure(a.applicativeExceptT(l.monadIdentity))(new d.Just(r));throw new Error("Failed pattern match at Foreign (line 162, column 1 - line 162, column 52): "+[r.constructor.name])},I=function(r){if(e.isNull(r))return n.pure(a.applicativeExceptT(l.monadIdentity))(d.Nothing.value);if(i.otherwise)return n.pure(a.applicativeExceptT(l.monadIdentity))(new d.Just(r));throw new Error("Failed pattern match at Foreign (line 152, column 1 - line 152, column 41): "+[r.constructor.name])},j=function(){var e=r.throwError(a.monadThrowExceptT(l.monadIdentity));return function(n){return e(f.singleton(n))}}(),S=function(r){if(e.isArray(r))return n.pure(a.applicativeExceptT(l.monadIdentity))(e.unsafeFromForeign(r));if(i.otherwise)return j(new g("array",e.tagOf(r)));throw new Error("Failed pattern match at Foreign (line 147, column 1 - line 147, column 42): "+[r.constructor.name])},N=function(r){return function(t){if(e.tagOf(t)===r)return n.pure(a.applicativeExceptT(l.monadIdentity))(e.unsafeFromForeign(t));if(i.otherwise)return j(new g(r,e.tagOf(t)));throw new Error("Failed pattern match at Foreign (line 106, column 1 - line 106, column 55): "+[r.constructor.name,t.constructor.name])}},O=N("Boolean"),D=N("Number"),L=function(r){var a,i=o.Left.create(f.singleton(new g("Int",e.tagOf(r)))),u=(a=d.maybe(i)(n.pure(o.applicativeEither)),function(e){return a(s.fromNumber(e))});return t.mapExcept(o.either(c.const(i))(u))(D(r))},A=N("String"),C=function(r){var a,i=o.Left.create(f.singleton(new g("Char",e.tagOf(r)))),u=(a=d.maybe(i)(n.pure(o.applicativeEither)),function(e){return a(h.toChar(e))});return t.mapExcept(o.either(c.const(i))(u))(A(r))},G=new u.Eq(function(e){return function(n){return e instanceof w&&n instanceof w?e.value0===n.value0:e instanceof g&&n instanceof g?e.value0===n.value0&&e.value1===n.value1:e instanceof E&&n instanceof E?e.value0===n.value0&&u.eq(G)(e.value1)(n.value1):e instanceof T&&n instanceof T&&(e.value0===n.value0&&u.eq(G)(e.value1)(n.value1))}}),U=new v.Ord(function(){return G},function(e){return function(n){if(e instanceof w&&n instanceof w)return v.compare(v.ordString)(e.value0)(n.value0);if(e instanceof w)return p.LT.value;if(n instanceof w)return p.GT.value;var r;if(e instanceof g&&n instanceof g)return(r=v.compare(v.ordString)(e.value0)(n.value0))instanceof p.LT?p.LT.value:r instanceof p.GT?p.GT.value:v.compare(v.ordString)(e.value1)(n.value1);if(e instanceof g)return p.LT.value;if(n instanceof g)return p.GT.value;if(e instanceof E&&n instanceof E)return(r=v.compare(v.ordInt)(e.value0)(n.value0))instanceof p.LT?p.LT.value:r instanceof p.GT?p.GT.value:v.compare(U)(e.value1)(n.value1);if(e instanceof E)return p.LT.value;if(n instanceof E)return p.GT.value;if(e instanceof T&&n instanceof T)return(r=v.compare(v.ordString)(e.value0)(n.value0))instanceof p.LT?p.LT.value:r instanceof p.GT?p.GT.value:v.compare(U)(e.value1)(n.value1);throw new Error("Failed pattern match at Foreign (line 61, column 1 - line 61, column 52): "+[e.constructor.name,n.constructor.name])}});module.exports={ForeignError:w,TypeMismatch:g,ErrorAtIndex:E,ErrorAtProperty:T,renderForeignError:F,unsafeReadTagged:N,readString:A,readChar:C,readBoolean:O,readNumber:D,readInt:L,readArray:S,readNull:I,readUndefined:y,readNullOrUndefined:q,fail:j,eqForeignError:G,ordForeignError:U,showForeignError:x,unsafeToForeign:e.unsafeToForeign,unsafeFromForeign:e.unsafeFromForeign,typeOf:e.typeOf,tagOf:e.tagOf,isNull:e.isNull,isUndefined:e.isUndefined,isArray:e.isArray}; +},{"./foreign.js":"kKQF","../Control.Applicative/index.js":"qYya","../Control.Monad.Error.Class/index.js":"L8Lk","../Control.Monad.Except/index.js":"Fye2","../Control.Monad.Except.Trans/index.js":"gr8B","../Data.Boolean/index.js":"ObQr","../Data.Either/index.js":"B2JL","../Data.Eq/index.js":"Pq4F","../Data.Function/index.js":"ImXJ","../Data.Identity/index.js":"2OKT","../Data.Int/index.js":"xNJb","../Data.List.NonEmpty/index.js":"XAY7","../Data.Maybe/index.js":"5mN7","../Data.Ord/index.js":"r4Vb","../Data.Ordering/index.js":"5Eun","../Data.Show/index.js":"mFY7","../Data.String.CodeUnits/index.js":"6c6X"}],"t65A":[function(require,module,exports) { +"use strict";var n="function"==typeof Array.from,t="undefined"!=typeof Symbol&&null!=Symbol&&void 0!==Symbol.iterator&&"function"==typeof String.prototype[Symbol.iterator],r="function"==typeof String.prototype.fromCodePoint,o="function"==typeof String.prototype.codePointAt;exports._unsafeCodePointAt0=function(n){return o?function(n){return n.codePointAt(0)}:n},exports._codePointAt=function(n){return function(r){return function(o){return function(e){return function(u){return function(i){var f=i.length;if(u<0||u>=f)return o;if(t)for(var c=i[Symbol.iterator](),a=u;;--a){var p=c.next();if(p.done)return o;if(0===a)return r(e(p.value))}return n(u)(i)}}}}}},exports._countPrefix=function(n){return function(r){return t?function(n){return function(t){for(var o=t[Symbol.iterator](),e=0;;++e){var u=o.next();if(u.done)return e;var i=r(u.value);if(!n(i))return e}}}:n}},exports._fromCodePointArray=function(n){return r?function(t){return t.length<1e4?String.fromCodePoint.apply(String,t):t.map(n).join("")}:function(t){return t.map(n).join("")}},exports._singleton=function(n){return r?String.fromCodePoint:n},exports._take=function(n){return function(r){return t?function(n){for(var t="",o=n[Symbol.iterator](),e=0;e<r;++e){var u=o.next();if(u.done)return t;t+=u.value}return t}:n(r)}},exports._toCodePointArray=function(t){return function(r){return n?function(n){return Array.from(n,r)}:t}}; +},{}],"mAJY":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),r=require("../Data.Array/index.js"),t=require("../Data.Boolean/index.js"),e=require("../Data.Bounded/index.js"),u=require("../Data.Enum/index.js"),o=require("../Data.Eq/index.js"),i=require("../Data.EuclideanRing/index.js"),a=require("../Data.Functor/index.js"),f=require("../Data.Int/index.js"),d=require("../Data.Maybe/index.js"),c=require("../Data.Ord/index.js"),l=require("../Data.Show/index.js"),s=require("../Data.String.CodeUnits/index.js"),m=require("../Data.String.Common/index.js"),h=require("../Data.String.Unsafe/index.js"),v=require("../Data.Tuple/index.js"),x=require("../Data.Unfoldable/index.js"),E=function(n){return n},g=function(n){return function(r){return 65536+((1024*(n-55296|0)|0)+(r-56320|0)|0)|0}},C=new l.Show(function(n){return"(CodePoint 0x"+m.toUpper(f.toStringAs(f.hexadecimal)(n))+")"}),b=function(n){return 56320<=n&&n<=57343},p=function(n){return 55296<=n&&n<=56319},q=function(n){var r=s.length(n);if(0===r)return d.Nothing.value;if(1===r)return new d.Just({head:u.fromEnum(u.boundedEnumChar)(h.charAt(0)(n)),tail:""});var t=u.fromEnum(u.boundedEnumChar)(h.charAt(1)(n)),e=u.fromEnum(u.boundedEnumChar)(h.charAt(0)(n));return p(e)&&b(t)?new d.Just({head:g(e)(t),tail:s.drop(2)(n)}):new d.Just({head:e,tail:s.drop(1)(n)})},w=function(n){return a.map(d.functorMaybe)(function(n){return new v.Tuple(n.head,n.tail)})(q(n))},P=function(n){return x.unfoldr(x.unfoldableArray)(w)(n)},D=function(n){var r=u.fromEnum(u.boundedEnumChar)(h.charAt(0)(n));if(p(r)&&s.length(n)>1){var t=u.fromEnum(u.boundedEnumChar)(h.charAt(1)(n));return b(t)?g(r)(t):r}return r},j=n._unsafeCodePointAt0(D),A=n._toCodePointArray(P)(j),y=function(n){return r.length(A(n))},J=function(n){return function(r){return a.map(d.functorMaybe)(function(n){return y(s.take(n)(r))})(s.lastIndexOf(n)(r))}},O=function(n){return function(r){return a.map(d.functorMaybe)(function(n){return y(s.take(n)(r))})(s.indexOf(n)(r))}},I=function(){var n=u.toEnumWithDefaults(u.boundedEnumChar)(e.bottom(e.boundedChar))(e.top(e.boundedChar));return function(r){return s.singleton(n(r))}}(),S=function(n){if(n<=65535)return I(n);var r=i.div(i.euclideanRingInt)(n-65536|0)(1024)+55296|0,t=i.mod(i.euclideanRingInt)(n-65536|0)(1024)+56320|0;return I(r)+I(t)},k=n._fromCodePointArray(S),_=n._singleton(S),M=function n(r){return function(t){if(r<1)return"";var e=q(t);return e instanceof d.Just?_(e.value0.head)+n(r-1|0)(e.value0.tail):t}},N=n._take(M),B=function(n){return function(r){return function(t){var e=s.length(N(r)(t));return a.map(d.functorMaybe)(function(n){return y(s.take(n)(t))})(s["lastIndexOf'"](n)(e)(t))}}},U=function(n){return function(r){var t=N(n)(r);return{before:t,after:s.drop(s.length(t))(r)}}},F=new o.Eq(function(n){return function(r){return n===r}}),R=new c.Ord(function(){return F},function(n){return function(r){return c.compare(c.ordInt)(n)(r)}}),W=function(n){return function(r){return s.drop(s.length(N(n)(r)))(r)}},T=function(n){return function(r){return function(t){var e=W(r)(t);return a.map(d.functorMaybe)(function(n){return r+y(s.take(n)(e))|0})(s.indexOf(n)(e))}}},z=function(n){return function(r){return function(t){var e,u,o,i,a=n,f=r,c=!1;for(;!c;)u=a,o=t,i=void 0,e=(i=q(f))instanceof d.Just&&u(i.value0.head)?(a=u,f=i.value0.tail,void(t=o+1|0)):(c=!0,o);return e}}},G=function(n){return function(r){return z(n)(r)(0)}},H=n._countPrefix(G)(j),K=function(n){return function(r){return W(H(n)(r))(r)}},L=function(n){return function(r){return N(H(n)(r))(r)}},Q=function(){var n=u.fromEnum(u.boundedEnumChar);return function(r){return E(n(r))}}(),V=function(n){return function(r){var t,e,u,o=n,i=!1;for(;!i;)e=o,u=void 0,t=(u=q(r))instanceof d.Just?0===e?(i=!0,new d.Just(u.value0.head)):(o=e-1|0,void(r=u.value0.tail)):(i=!0,d.Nothing.value);return t}},X=function(r){return function(t){return r<0?d.Nothing.value:0===r&&""===t?d.Nothing.value:0===r?new d.Just(j(t)):n._codePointAt(V)(d.Just.create)(d.Nothing.value)(j)(r)(t)}},Y=new e.Bounded(function(){return R},0,1114111),Z=new u.BoundedEnum(function(){return Y},function(){return $},1114112,function(n){return n},function(n){if(n>=0&&n<=1114111)return new d.Just(n);if(t.otherwise)return d.Nothing.value;throw new Error("Failed pattern match at Data.String.CodePoints (line 63, column 1 - line 68, column 26): "+[n.constructor.name])}),$=new u.Enum(function(){return R},u.defaultPred(u.toEnum(Z))(u.fromEnum(Z)),u.defaultSucc(u.toEnum(Z))(u.fromEnum(Z)));module.exports={codePointFromChar:Q,singleton:_,fromCodePointArray:k,toCodePointArray:A,codePointAt:X,uncons:q,length:y,countPrefix:H,indexOf:O,"indexOf'":T,lastIndexOf:J,"lastIndexOf'":B,take:N,takeWhile:L,drop:W,dropWhile:K,splitAt:U,eqCodePoint:F,ordCodePoint:R,showCodePoint:C,boundedCodePoint:Y,enumCodePoint:$,boundedEnumCodePoint:Z}; +},{"./foreign.js":"t65A","../Data.Array/index.js":"4t4C","../Data.Boolean/index.js":"ObQr","../Data.Bounded/index.js":"kcUU","../Data.Enum/index.js":"oOsU","../Data.Eq/index.js":"Pq4F","../Data.EuclideanRing/index.js":"2IRB","../Data.Functor/index.js":"+0AE","../Data.Int/index.js":"xNJb","../Data.Maybe/index.js":"5mN7","../Data.Ord/index.js":"r4Vb","../Data.Show/index.js":"mFY7","../Data.String.CodeUnits/index.js":"6c6X","../Data.String.Common/index.js":"OSrc","../Data.String.Unsafe/index.js":"5UWM","../Data.Tuple/index.js":"II/O","../Data.Unfoldable/index.js":"77+Z"}],"rsyP":[function(require,module,exports) { +"use strict";exports["showRegex'"]=function(n){return""+n},exports["regex'"]=function(n){return function(r){return function(t){return function(e){try{return r(new RegExp(t,e))}catch(u){return n(u.message)}}}}},exports.source=function(n){return n.source},exports["flags'"]=function(n){return{multiline:n.multiline,ignoreCase:n.ignoreCase,global:n.global,sticky:!!n.sticky,unicode:!!n.unicode}},exports.test=function(n){return function(r){var t=n.lastIndex,e=n.test(r);return n.lastIndex=t,e}},exports._match=function(n){return function(r){return function(t){return function(e){var u=e.match(t);if(null==u||0===u.length)return r;for(var o=0;o<u.length;o++)u[o]=null==u[o]?r:n(u[o]);return n(u)}}}},exports.replace=function(n){return function(r){return function(t){return t.replace(n,r)}}},exports["replace'"]=function(n){return function(r){return function(t){return t.replace(n,function(n){return r(n)(Array.prototype.splice.call(arguments,1,arguments.length-3))})}}},exports._search=function(n){return function(r){return function(t){return function(e){var u=e.search(t);return-1===u?r:n(u)}}}},exports.split=function(n){return function(r){return r.split(n)}}; +},{}],"W1/V":[function(require,module,exports) { + +"use strict";var e=require("../Control.MonadZero/index.js"),i=require("../Data.Eq/index.js"),n=require("../Data.Functor/index.js"),r=require("../Data.Monoid/index.js"),a=require("../Data.Semigroup/index.js"),o=require("../Data.Show/index.js"),u=require("../Data.String.Common/index.js"),l=function(){function e(e){this.value0=e}return e.create=function(i){return new e(i)},e}(),t=new l({global:!1,ignoreCase:!1,multiline:!1,sticky:!1,unicode:!0}),g=new l({global:!1,ignoreCase:!1,multiline:!1,sticky:!0,unicode:!1}),s=new o.Show(function(r){var o=a.append(a.semigroupArray)([])(a.append(a.semigroupArray)(n.voidLeft(n.functorArray)(e.guard(e.monadZeroArray)(r.value0.global))("global"))(a.append(a.semigroupArray)(n.voidLeft(n.functorArray)(e.guard(e.monadZeroArray)(r.value0.ignoreCase))("ignoreCase"))(a.append(a.semigroupArray)(n.voidLeft(n.functorArray)(e.guard(e.monadZeroArray)(r.value0.multiline))("multiline"))(a.append(a.semigroupArray)(n.voidLeft(n.functorArray)(e.guard(e.monadZeroArray)(r.value0.sticky))("sticky"))(n.voidLeft(n.functorArray)(e.guard(e.monadZeroArray)(r.value0.unicode))("unicode"))))));return i.eq(i.eqArray(i.eqString))(o)([])?"noFlags":"("+u.joinWith(" <> ")(o)+")"}),d=new a.Semigroup(function(e){return function(i){return new l({global:e.value0.global||i.value0.global,ignoreCase:e.value0.ignoreCase||i.value0.ignoreCase,multiline:e.value0.multiline||i.value0.multiline,sticky:e.value0.sticky||i.value0.sticky,unicode:e.value0.unicode||i.value0.unicode})}}),c=new l({global:!1,ignoreCase:!1,multiline:!1,sticky:!1,unicode:!1}),v=new l({global:!1,ignoreCase:!1,multiline:!0,sticky:!1,unicode:!1}),m=new r.Monoid(function(){return d},c),y=new l({global:!1,ignoreCase:!0,multiline:!1,sticky:!1,unicode:!1}),f=new l({global:!0,ignoreCase:!1,multiline:!1,sticky:!1,unicode:!1}),p=new i.Eq(function(e){return function(i){return e.value0.global===i.value0.global&&e.value0.ignoreCase===i.value0.ignoreCase&&e.value0.multiline===i.value0.multiline&&e.value0.sticky===i.value0.sticky&&e.value0.unicode===i.value0.unicode}});module.exports={RegexFlags:l,noFlags:c,global:f,ignoreCase:y,multiline:v,sticky:g,unicode:t,semigroupRegexFlags:d,monoidRegexFlags:m,eqRegexFlags:p,showRegexFlags:s}; +},{"../Control.MonadZero/index.js":"lD5R","../Data.Eq/index.js":"Pq4F","../Data.Functor/index.js":"+0AE","../Data.Monoid/index.js":"TiEB","../Data.Semigroup/index.js":"EsAJ","../Data.Show/index.js":"mFY7","../Data.String.Common/index.js":"OSrc"}],"lBFq":[function(require,module,exports) { +"use strict";var e=require("./foreign.js"),t=require("../Data.Either/index.js"),a=require("../Data.Maybe/index.js"),r=require("../Data.Show/index.js"),n=require("../Data.String.CodeUnits/index.js"),i=require("../Data.String.Regex.Flags/index.js"),s=new r.Show(e["showRegex'"]),u=e._search(a.Just.create)(a.Nothing.value),c=function(e){return(e.value0.global?"g":"")+(e.value0.ignoreCase?"i":"")+(e.value0.multiline?"m":"")+(e.value0.sticky?"y":"")+(e.value0.unicode?"u":"")},l=function(a){return function(r){return e["regex'"](t.Left.create)(t.Right.create)(a)(c(r))}},o=function(e){return new i.RegexFlags({global:n.contains("g")(e),ignoreCase:n.contains("i")(e),multiline:n.contains("m")(e),sticky:n.contains("y")(e),unicode:n.contains("u")(e)})},g=e._match(a.Just.create)(a.Nothing.value),x=function(t){return i.RegexFlags.create(e["flags'"](t))};module.exports={regex:l,flags:x,renderFlags:c,parseFlags:o,match:g,search:u,showRegex:s,source:e.source,test:e.test,replace:e.replace,"replace'":e["replace'"],split:e.split}; +},{"./foreign.js":"rsyP","../Data.Either/index.js":"B2JL","../Data.Maybe/index.js":"5mN7","../Data.Show/index.js":"mFY7","../Data.String.CodeUnits/index.js":"6c6X","../Data.String.Regex.Flags/index.js":"W1/V"}],"f3ma":[function(require,module,exports) { +"use strict";var n=require("../Control.Applicative/index.js"),r=require("../Control.Bind/index.js"),t=require("../Data.Array.NonEmpty/index.js"),e=require("../Data.Boolean/index.js"),u=require("../Data.Either/index.js"),o=require("../Data.Eq/index.js"),i=require("../Data.Foldable/index.js"),a=require("../Data.Function/index.js"),c=require("../Data.Functor/index.js"),f=require("../Data.Int/index.js"),l=require("../Data.Maybe/index.js"),s=require("../Data.Ord/index.js"),v=require("../Data.Show/index.js"),m=require("../Data.String.CodePoints/index.js"),b=require("../Data.String.Regex/index.js"),h=require("../Math/index.js"),d=function(n){return n},w=function(){function n(){}return n.value=new n,n}(),g=function(){function n(){}return n.value=new n,n}(),p=function(){function n(){}return n.value=new n,n}(),x=function(){function n(){}return n.value=new n,n}(),y=function(){function n(n,r,t,e){this.value0=n,this.value1=r,this.value2=t,this.value3=e}return n.create=function(r){return function(t){return function(e){return function(u){return new n(r,t,e,u)}}}},n}(),q=function(n){return function(r){return h.remainder(h.remainder(n)(r)+r)(r)}},j=function(n){return function(r){return function(t){return function(u){var o=s.clamp(s.ordInt)(0)(255)(n),i=f.toNumber(o)/255,a=s.clamp(s.ordInt)(0)(255)(r),c=f.toNumber(a)/255,l=s.clamp(s.ordInt)(0)(255)(t),v=s.max(s.ordInt)(s.max(s.ordInt)(o)(a))(l),m=s.min(s.ordInt)(s.min(s.ordInt)(o)(a))(l),b=v-m|0,d=f.toNumber(b)/255,w=f.toNumber(v+m|0)/510,g=function(){if(0===b)return 0;if(e.otherwise)return d/(1-h.abs(2*w-1));throw new Error("Failed pattern match at Color (line 157, column 5 - line 158, column 75): "+[])}(),p=f.toNumber(l)/255,x=60*function(n){if(0===n)return 0;if(v===o)return q((c-p)/d)(6);if(v===a)return(p-i)/d+2;if(e.otherwise)return(i-c)/d+4;throw new Error("Failed pattern match at Color (line 148, column 5 - line 148, column 17): "+[n.constructor.name])}(b);return new y(x,g,w,u)}}}},C=function(n){return function(r){return function(t){return j(n)(r)(t)(1)}}},I=function(n){return function(r){return function(t){return function(e){return j(f.round(255*n))(f.round(255*r))(f.round(255*t))(e)}}}},M=function(n){return function(r){return function(t){return I(n)(r)(t)(1)}}},N=function(n){return function(r){return function(t){var u=function(n){if(n<=.0031308)return 12.92*n;if(e.otherwise)return 1.055*h.pow(n)(1/2.4)-.055;throw new Error("Failed pattern match at Color (line 224, column 5 - line 225, column 65): "+[n.constructor.name])},o=u(-.9689*n+1.8758*r+.0415*t),i=u(3.2406*n-1.5372*r-.4986*t),a=u(.0557*n-.204*r+1.057*t);return M(i)(o)(a)}}},E=function(n){return function(r){return function(t){return r+n*(t-r)}}},F=function(n){return function(r){return function(t){var e=[{from:r,to:t},{from:r,to:t+360},{from:r+360,to:t}],u=l.fromJust()(i.minimumBy(i.foldableArray)(s.comparing(s.ordNumber)(function(n){return h.abs(n.to-n.from)}))(e));return E(n)(u.from)(u.to)}}},S=function(n){return function(r){return function(t){var e=h.pi/180,u=t.value1-r.value1,o=t.value2-r.value2,i=(r.value0+120)*e,a=(t.value0+120)*e-i;return function(e){var c=h.pow(r.value2+o*e)(n),f=i+a*e,l=(r.value1+u*e)*c*(1-c),s=c+l*(1.97294*h.cos(f)),v=c+l*(-.29227*h.cos(f)-.90649*h.sin(f)),m=c+l*(-.14861*h.cos(f)+1.78277*h.sin(f)),b=E(e)(r.value3)(t.value3);return I(m)(v)(s)(b)}}}},D=function(n){return function(r){return function(t){return function(e){var u=s.clamp(s.ordNumber)(0)(1)(r),o=s.clamp(s.ordNumber)(0)(1)(t),i=s.clamp(s.ordNumber)(0)(1)(e);return new y(n,u,o,i)}}}},A=function(n){return function(r){return function(t){return function(e){var u=r;if(0===t)return D(n)(u/(2-u))(0)(e);if(0===r&&1===t)return D(n)(0)(1)(e);var o=(2-r)*t,i=(u=r*t/(o<1?o:2-o),o/2);return D(n)(u)(i)(e)}}}},L=function(n){return function(r){return function(t){return A(n)(r)(t)(1)}}},B=function(n){return function(r){return D(r.value0)(r.value1)(r.value2+n)(r.value3)}},H=function(n){return function(r){return 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n/12.92;if(e.otherwise)return h.pow((n+.055)/1.055)(2.4);throw new Error("Failed pattern match at Color (line 604, column 9 - line 605, column 61): "+[n.constructor.name])},u=t(r.g);return.2126*t(r.r)+.7152*u+.0722*t(r.b)},nn=function(n){return function(r){var t=_(r),e=_(n);return e>t?(e+.05)/(t+.05):(t+.05)/(e+.05)}},rn=function(n){return function(r){return nn(n)(r)>4.5}},tn=function(n){var r=W(n),t=f.round(255*r.g);return{r:f.round(255*r.r),g:t,b:f.round(255*r.b),a:r.a}},en=function(n){var r=tn(n),t=v.show(v.showInt)(r.g),e=v.show(v.showInt)(r.r),u=v.show(v.showInt)(r.b),o=v.show(v.showNumber)(r.a);return 1===r.a?"rgb("+e+", "+t+", "+u+")":"rgba("+e+", "+t+", "+u+", "+o+")"},un=new o.Eq(function(n){return function(r){var t=tn(r),e=tn(n);return e.r===t.r&&e.g===t.g&&e.b===t.b&&e.a===t.a}}),on=new v.Show(function(n){var r=tn(n);return"rgba "+v.show(v.showInt)(r.r)+" "+v.show(v.showInt)(r.g)+" "+v.show(v.showInt)(r.b)+" "+v.show(v.showNumber)(r.a)}),an=function(n){var r=function(n){var r=f.toStringAs(f.hexadecimal)(n);return 1===m.length(r)?"0"+r:r},t=tn(n);return"#"+(r(t.r)+(r(t.g)+r(t.b)))},cn=function(n){var r=W(n),t=function(n){if(n<=.04045)return n/12.92;if(e.otherwise)return h.pow((n+.055)/1.055)(2.4);throw new Error("Failed pattern match at Color (line 366, column 5 - line 367, column 63): "+[n.constructor.name])},u=t(r.g),o=t(r.r),i=t(r.b);return{x:.4124*o+.3576*u+.1805*i,y:.2126*o+.7152*u+.0722*i,z:.0193*o+.1192*u+.9505*i}},fn=function(n){var r=cn(n),t=h.pow(6/29)(3),u=function(n){if(n>t)return h.pow(n)(1/3);if(e.otherwise)return 1/3*h.pow(29/6)(2)*n+4/29;throw new Error("Failed pattern match at Color (line 384, column 5 - line 385, column 76): "+[n.constructor.name])},o=u(r.y/X.yn),i=116*o-16,a=200*(o-u(r.z/X.zn));return{l:i,a:500*(u(r.x/X.xn)-o),b:a}},ln=function(n){return function(r){var t=function(n){return h.pow(n)(2)},e=fn(r),u=fn(n);return h.sqrt(t(u.l-e.l)+t(u.a-e.a)+t(u.b-e.b))}},sn=function(n){var r=fn(n),t=180/h.pi,e=h.sqrt(r.a*r.a+r.b*r.b),u=q(h.atan2(r.b)(r.a)*t)(360);return{l:r.l,c:e,h:u}},vn=function(n){return function(r){return function(t){return function(e){if(n instanceof g){var u=T(t),o=T(r);return D(F(e)(o.h)(u.h))(E(e)(o.s)(u.s))(E(e)(o.l)(u.l))(E(e)(o.a)(u.a))}if(n instanceof w){u=W(t),o=W(r);return I(E(e)(o.r)(u.r))(E(e)(o.g)(u.g))(E(e)(o.b)(u.b))(E(e)(o.a)(u.a))}if(n instanceof p){u=sn(t),o=sn(r);return Z(E(e)(o.l)(u.l))(E(e)(o.c)(u.c))(F(e)(o.h)(u.h))}if(n instanceof x){u=fn(t),o=fn(r);return Y(E(e)(o.l)(u.l))(E(e)(o.a)(u.a))(E(e)(o.b)(u.b))}throw new Error("Failed pattern match at Color (line 520, column 1 - line 520, column 34): "+[n.constructor.name,r.constructor.name,t.constructor.name,e.constructor.name])}}}},mn=function(n){var r=sn(n);return P(1)(Z(r.l)(0)(0))},bn=function(n){var r=W(n);return(299*r.r+587*r.g+114*r.b)/1e3},hn=function(n){return bn(n)>.5},dn=R(0)(0)(0),wn=function(n){if(hn(n))return dn;if(e.otherwise)return G;throw new Error("Failed pattern match at Color (line 643, column 1 - line 643, column 28): "+[n.constructor.name])};module.exports={RGB:w,HSL:g,LCh:p,Lab:x,rgba:j,rgb:C,"rgba'":I,"rgb'":M,hsla:D,hsl:R,hsva:A,hsv:L,xyz:N,lab:Y,lch:Z,fromHexString:O,fromInt:J,toHSLA:T,toHSVA:U,toRGBA:tn,"toRGBA'":W,toXYZ:cn,toLab:fn,toLCh:sn,toHexString:an,cssStringHSLA:$,cssStringRGBA:en,black:dn,white:G,graytone:k,rotateHue:H,complementary:K,lighten:B,darken:V,saturate:z,desaturate:P,toGray:mn,mix:vn,mixCubehelix:S,brightness:bn,luminance:_,contrast:nn,isLight:hn,isReadable:rn,textColor:wn,distance:ln,showColor:on,eqColor:un}; +},{"../Control.Applicative/index.js":"qYya","../Control.Bind/index.js":"7VcT","../Data.Array.NonEmpty/index.js":"eTKN","../Data.Boolean/index.js":"ObQr","../Data.Either/index.js":"B2JL","../Data.Eq/index.js":"Pq4F","../Data.Foldable/index.js":"eVDl","../Data.Function/index.js":"ImXJ","../Data.Functor/index.js":"+0AE","../Data.Int/index.js":"xNJb","../Data.Maybe/index.js":"5mN7","../Data.Ord/index.js":"r4Vb","../Data.Show/index.js":"mFY7","../Data.String.CodePoints/index.js":"mAJY","../Data.String.Regex/index.js":"lBFq","../Math/index.js":"Rpaz"}],"rp+n":[function(require,module,exports) { +"use strict";var r=require("../Color/index.js"),o=r.fromInt(16768e3),n=r.fromInt(3787980),t=r.fromInt(14540253),m=r.fromInt(16728374),e=r.fromInt(11603401),f=r.fromInt(16745755),I=r.fromInt(4036976),l=r.fromInt(7999),a=r.fromInt(8721483),i=r.fromInt(130928),u=r.fromInt(3066944),s=r.fromInt(11184810),v=r.fromInt(15733438),c=r.fromInt(29913),d=r.fromInt(1118481),g=r.fromInt(8379391);module.exports={navy:l,blue:c,aqua:g,teal:n,olive:I,green:u,lime:i,yellow:o,orange:f,red:m,maroon:a,fuchsia:v,purple:e,"black'":d,gray:s,silver:t}; +},{"../Color/index.js":"f3ma"}],"BG0s":[function(require,module,exports) { +function t(t){return function(o){return function(e){return t.apply(e,[o])}}}exports.toPrecisionNative=t(Number.prototype.toPrecision),exports.toFixedNative=t(Number.prototype.toFixed),exports.toExponentialNative=t(Number.prototype.toExponential),exports.toString=function(t){return t.toString()}; +},{}],"VX77":[function(require,module,exports) { +"use strict";var n=require("./foreign.js"),t=require("../Data.Ord/index.js"),e=function(){function n(n){this.value0=n}return n.create=function(t){return new n(t)},n}(),r=function(){function n(n){this.value0=n}return n.create=function(t){return new n(t)},n}(),i=function(){function n(n){this.value0=n}return n.create=function(t){return new n(t)},n}(),u=function(t){if(t instanceof e)return n.toPrecisionNative(t.value0);if(t instanceof r)return n.toFixedNative(t.value0);if(t instanceof i)return n.toExponentialNative(t.value0);throw new Error("Failed pattern match at Data.Number.Format (line 59, column 1 - line 59, column 40): "+[t.constructor.name])},o=function(){var n=t.clamp(t.ordInt)(1)(21);return function(t){return e.create(n(t))}}(),a=function(){var n=t.clamp(t.ordInt)(0)(20);return function(t){return r.create(n(t))}}(),c=function(){var n=t.clamp(t.ordInt)(0)(20);return function(t){return i.create(n(t))}}();module.exports={precision:o,fixed:a,exponential:c,toStringWith:u,toString:n.toString}; +},{"./foreign.js":"BG0s","../Data.Ord/index.js":"r4Vb"}],"KkC9":[function(require,module,exports) { +"use strict";exports.unsafeCreateElementImpl=function(e,t,n){var o=document.createElement(e);return o.id=t,o.className=n,o},exports.initializeCanvasImpl=function(e,t){e.width=t.width,e.height=t.height;var n=e.getContext("2d");!0===n.imageSmoothingEnabled&&(n.imageSmoothingEnabled=!1)},exports.setElementStyleImpl=function(e,t,n){e.style[t]=n},exports.appendElem=function(e){return function(t){return function(){e.appendChild(t)}}},exports.setContainerStyle=function(e){return function(t){return function(){e.style.position="relative",e.style.border="1px solid 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o=e.getContext("2d");o.save(),o.globalCompositeOperation="copy",o.drawImage(t,0,0),o.restore();var i=t.getContext("2d"),r=t.width,a=t.height,l=n.left*r,s=(n.right-n.left)*r;i.save(),i.globalCompositeOperation="copy",i.setTransform(1,0,0,1,0,0),i.drawImage(e,l,0,s,a,0,0,r,a),i.restore()},exports.canvasDragImpl=function(e){return function(t){return function(){var n=function(e){var n=e.clientX,o=e.clientY,i=e.clientX,r=e.clientY,a=function(e){t({during:{x:i-e.clientX,y:r-e.clientY}})(),i=e.clientX,r=e.clientY};document.addEventListener("mousemove",a),document.addEventListener("mouseup",function(e){document.removeEventListener("mousemove",a),t({total:{x:e.clientX-n,y:e.clientY-o}})()},{once:!0})};return e.addEventListener("mousedown",n),function(){e.removeEventListener("mousedown",n)}}}},exports.canvasWheelCBImpl=function(e){return function(t){return function(){e.addEventListener("wheel",function(n){n.preventDefault();var o=e.getBoundingClientRect(),i=n.clientX-o.left+window.scrollX,r=n.clientY-o.top+window.scrollY;t({x:i,y:r})(Math.sign(n.deltaY))()})}}}; +},{}],"fCig":[function(require,module,exports) { +"use strict";var 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+},{"./foreign.js":"ViyF"}],"61ee":[function(require,module,exports) { +"use strict";var n=require("../Control.Applicative/index.js"),r=require("../Control.Bind/index.js"),e=require("../Data.Symbol/index.js"),t=require("../Data.Unit/index.js"),i=require("../Effect.Aff/index.js"),u=require("../Effect.Aff.AVar/index.js"),f=require("../Record/index.js"),c=require("../Type.Data.RowList/index.js"),o=require("../Type.Equality/index.js"),a=function(n){this.compile=n},d=function(n){return n.compile},s=function(n){return function(n){return function(r){return d(n)(c.RLProxy.value)(r)}}},l=function(r){return new a(function(e){return function(e){return n.pure(i.applicativeAff)({run:function(r){return n.pure(i.applicativeAff)(t.unit)},last:o.from(r)({})})}})},p=function(t){return function(o){return function(o){return function(s){return function(l){return function(p){return new a(function(a){return function(a){return r.bind(i.bindAff)(d(p)(c.RLProxy.value)(a))(function(c){return 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strict";exports.canvasElementToImageSource=function(n){return n},exports.tryLoadImageImpl=function(n){return function(t){return function(r){return function(){var e=new Image;e.src=n,e.addEventListener("load",function(){r(e)()},!1),e.addEventListener("error",function(n){t()},!1)}}}},exports.getCanvasElementByIdImpl=function(n,t,r){return function(){var e=document.getElementById(n);return e&&e instanceof HTMLCanvasElement?t(e):r}},exports.getContext2D=function(n){return function(){return n.getContext("2d")}},exports.getCanvasWidth=function(n){return function(){return n.width}},exports.getCanvasHeight=function(n){return function(){return n.height}},exports.setCanvasWidth=function(n){return function(t){return function(){n.width=t}}},exports.setCanvasHeight=function(n){return function(t){return function(){n.height=t}}},exports.canvasToDataURL=function(n){return function(){return n.toDataURL()}},exports.setLineWidth=function(n){return function(t){return 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Error("Failed pattern match at Graphics.Canvas (line 599, column 1 - line 603, column 29): "+[n.constructor.name])}),en=new a.Show(function(n){if(n instanceof L)return"SourceOver";if(n instanceof y)return"SourceIn";if(n instanceof x)return"SourceOut";if(n instanceof T)return"SourceAtop";if(n instanceof A)return"DestinationOver";if(n instanceof E)return"DestinationIn";if(n instanceof R)return"DestinationOut";if(n instanceof F)return"DestinationAtop";if(n instanceof G)return"Lighter";if(n instanceof O)return"Copy";if(n instanceof q)return"Xor";if(n instanceof b)return"Multiply";if(n instanceof k)return"Screen";if(n instanceof P)return"Overlay";if(n instanceof H)return"Darken";if(n instanceof B)return"Lighten";if(n instanceof W)return"ColorDodge";if(n instanceof J)return"ColorBurn";if(n instanceof j)return"HardLight";if(n instanceof M)return"SoftLight";if(n instanceof X)return"Difference";if(n instanceof N)return"Exclusion";if(n instanceof Y)return"Hue";if(n instanceof U)return"Saturation";if(n instanceof z)return"Color";if(n instanceof K)return"Luminosity";throw new Error("Failed pattern match at Graphics.Canvas (line 284, column 1 - line 310, column 38): "+[n.constructor.name])}),tn=function(e){return function(t){return n.setTextAlignImpl(e)(function(n){if(n instanceof c)return"left";if(n instanceof f)return"right";if(n instanceof s)return"center";if(n instanceof l)return"start";if(n instanceof v)return"end";throw new Error("Failed pattern match at Graphics.Canvas (line 518, column 5 - line 518, column 32): "+[n.constructor.name])}(t))}},rn=function(e){return function(t){if(t instanceof p)return n.setLineJoinImpl(e)("bevel");if(t instanceof d)return n.setLineJoinImpl(e)("round");if(t instanceof C)return n.setLineJoinImpl(e)("miter");throw new Error("Failed pattern match at Graphics.Canvas (line 247, column 1 - line 247, column 52): "+[e.constructor.name,t.constructor.name])}},an=function(e){return function(t){if(t instanceof S)return n.setLineCapImpl(e)("round");if(t instanceof D)return n.setLineCapImpl(e)("square");if(t instanceof I)return n.setLineCapImpl(e)("butt");throw new Error("Failed pattern match at Graphics.Canvas (line 234, column 1 - line 234, column 50): "+[e.constructor.name,t.constructor.name])}},on=function(e){return function(t){return n.setGlobalCompositeOperationImpl(e)(function(n){if(n instanceof L)return"source-over";if(n instanceof y)return"source-in";if(n instanceof x)return"source-out";if(n instanceof T)return"source-atop";if(n instanceof A)return"destination-over";if(n instanceof E)return"destination-in";if(n instanceof R)return"destination-out";if(n instanceof F)return"destination-atop";if(n instanceof G)return"lighter";if(n instanceof O)return"copy";if(n instanceof q)return"xor";if(n instanceof b)return"multiply";if(n instanceof k)return"screen";if(n instanceof P)return"overlay";if(n instanceof H)return"darken";if(n instanceof B)return"lighten";if(n instanceof W)return"color-dodge";if(n instanceof J)return"color-burn";if(n instanceof j)return"hard-light";if(n instanceof M)return"soft-light";if(n instanceof X)return"difference";if(n instanceof N)return"exclusion";if(n instanceof Y)return"hue";if(n instanceof U)return"saturation";if(n instanceof z)return"color";if(n instanceof K)return"luminosity";throw new Error("Failed pattern match at Graphics.Canvas (line 318, column 5 - line 318, column 45): "+[n.constructor.name])}(t))}},un=function(t){return function(r){return e.applySecond(o.applyEffect)(n.setCanvasHeight(t)(r.height))(n.setCanvasWidth(t)(r.width))}},cn=function(e){return n.getCanvasElementByIdImpl(e,i.Just.create,i.Nothing.value)},fn=function(e){return function(){return{width:n.getCanvasWidth(e)(),height:n.getCanvasHeight(e)()}}},sn=function(e){return function(t){return function(){n.beginPath(e)();var r=t();n.fill(e)();return r}}},ln=new t.Eq(function(n){return function(e){return n instanceof S&&e instanceof S||(n instanceof D&&e instanceof D||n instanceof I&&e 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r.Inr&&n.value0.value0.value0 instanceof r.Inl)return new q(n.value0.value0.value0.value0);if(n instanceof r.Inr&&n.value0 instanceof r.Inr&&n.value0.value0 instanceof r.Inr&&n.value0.value0.value0 instanceof r.Inr&&n.value0.value0.value0.value0 instanceof r.Inl)return new j(n.value0.value0.value0.value0.value0);if(n instanceof r.Inr&&n.value0 instanceof r.Inr&&n.value0.value0 instanceof r.Inr&&n.value0.value0.value0 instanceof r.Inr&&n.value0.value0.value0.value0 instanceof r.Inr)return new b(n.value0.value0.value0.value0.value0);throw new Error("Failed pattern match at Genetics.Browser.Layer (line 64, column 1 - line 64, column 60): "+[n.constructor.name])}),G=new t.Functor(function(n){return function(e){if(e instanceof g)return new g(n(e.value0));if(e instanceof y)return new y(n(e.value0));if(e instanceof x)return new x(n(e.value0));if(e instanceof q)return new q(n(e.value0));if(e instanceof j)return new j(n(e.value0));if(e instanceof b)return new b(n(e.value0));throw new 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new V(function(e){return p.map(p.functorFn)(p.map(o.functorExceptT(m.functorIdentity))(f.flip(R.build)({})))(Rn(n)(C.RLProxy.value)(e))})}},Ln=function(n){return function(e){return new H(Nn(Cn(n)(e))(qn))}},Pn=new k(function(n){return function(n){return function(n){return e.pure(o.applicativeExceptT(m.monadIdentity))(r.identity(R.categoryBuilder))}}}),Wn=function(n){return function(r){return function(c){return function(s){return function(f){return new k(function(l){return function(l){return function(g){return t.bind(o.bindExceptT(m.monadIdentity))(Rn(r)(C.RLProxy.value)(l)(g))(function(r){var x=b.reflectSymbol(c)(b.SProxy.value),y=l.fieldTransform(x);return t.bind(o.bindExceptT(m.monadIdentity))(q.index(q.indexString)(g)(y))(function(g){return t.bind(o.bindExceptT(m.monadIdentity))(i.mapExcept(d.lmap(a.bifunctorEither)(p.map(E.functorNonEmptyList)(D.ErrorAtProperty.create(y))))(Nn(s)(l)(g)))(function(t){return e.pure(o.applicativeExceptT(m.monadIdentity))(u.composeFlipped(R.semigroupoidBuilder)(r)(R.insert(n)(f)(c)(b.SProxy.value)(t)))})})})}}})}}}}},Gn=function(n){return n.decodeOpts},Un=function(e){return function(t){return new B(function(r){return function(i){var u={unwrapSingleConstructors:!1,fieldTransform:r.fieldTransform,sumEncoding:r.sumEncoding,unwrapSingleArguments:r.unwrapSingleArguments};return n.alt(o.altExceptT(E.semigroupNonEmptyList)(m.monadIdentity))(p.map(o.functorExceptT(m.functorIdentity))(l.Inl.create)(Gn(e)(u)(i)))(p.map(o.functorExceptT(m.functorIdentity))(l.Inr.create)(Gn(t)(u)(i)))}})}},Bn=function(n){return n.decodeArgs},Kn=function(n){return function(r){return new U(function(i){return function(u){return function(c){return t.bind(o.bindExceptT(m.monadIdentity))(Bn(n)(i)(u)(c))(function(n){return t.bind(o.bindExceptT(m.monadIdentity))(Bn(r)(i)(n.next)(n.rest))(function(t){return e.pure(o.applicativeExceptT(m.monadIdentity))({result:new 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instanceof a.Right&&r instanceof a.Right)return new a.Right(i.value0+r.value0|0);throw new Error("Failed pattern match at Foreign.Generic.Class (line 400, column 5 - line 404, column 40): "+[i.constructor.name,r.constructor.name])})}},Xn=function(n){return function(r){return function(u){return new B(function(c){return function(f){var x=Hn(u)(L.Proxy.value),y=function(n){if(x instanceof a.Left)return e.pure(o.applicativeExceptT(m.monadIdentity))(x.value0);if(x instanceof a.Right&&1===x.value0&&c.unwrapSingleArguments)return t.bind(o.bindExceptT(m.monadIdentity))(Bn(r)(c)(0)(g.singleton(n)))(function(n){return t.discard(t.discardUnit)(o.bindExceptT(m.monadIdentity))(e.unless(o.applicativeExceptT(m.monadIdentity))(g.null(n.rest))(D.fail(new D.ForeignError("Expected a single argument"))))(function(){return e.pure(o.applicativeExceptT(m.monadIdentity))(n.result)})});if(x instanceof a.Right)return t.bind(o.bindExceptT(m.monadIdentity))(D.readArray(n))(function(n){return t.bind(o.bindExceptT(m.monadIdentity))(Bn(r)(c)(0)(g.fromFoldable(s.foldableArray)(n)))(function(n){return t.discard(t.discardUnit)(o.bindExceptT(m.monadIdentity))(e.unless(o.applicativeExceptT(m.monadIdentity))(g.null(n.rest))(D.fail(new D.ForeignError("Expected "+T.show(T.showInt)(x.value0)+" constructor arguments"))))(function(){return e.pure(o.applicativeExceptT(m.monadIdentity))(n.result)})})});throw new Error("Failed pattern match at Foreign.Generic.Class (line 307, column 9 - line 319, column 24): "+[x.constructor.name])},w=b.reflectSymbol(n)(b.SProxy.value);return c.unwrapSingleConstructors?p.map(o.functorExceptT(m.functorIdentity))(l.Constructor)(y(f)):t.bind(o.bindExceptT(m.monadIdentity))(i.mapExcept(d.lmap(a.bifunctorEither)(p.map(E.functorNonEmptyList)(D.ErrorAtProperty.create(c.sumEncoding.value0.tagFieldName))))(t.bind(o.bindExceptT(m.monadIdentity))(t.bind(o.bindExceptT(m.monadIdentity))(q.index(q.indexString)(f)(c.sumEncoding.value0.tagFieldName))(D.readString))(function(n){var r=c.sumEncoding.value0.constructorTagTransform(w);return t.discard(t.discardUnit)(o.bindExceptT(m.monadIdentity))(e.unless(o.applicativeExceptT(m.monadIdentity))(n===r)(D.fail(new D.ForeignError("Expected "+T.show(T.showString)(r)+" tag"))))(function(){return e.pure(o.applicativeExceptT(m.monadIdentity))(n)})})))(function(n){return t.bind(o.bindExceptT(m.monadIdentity))(i.mapExcept(d.lmap(a.bifunctorEither)(p.map(E.functorNonEmptyList)(D.ErrorAtProperty.create(c.sumEncoding.value0.contentsFieldName))))(t.bind(o.bindExceptT(m.monadIdentity))(q.index(q.indexString)(f)(c.sumEncoding.value0.contentsFieldName))(y)))(function(n){return e.pure(o.applicativeExceptT(m.monadIdentity))(n)})})}})}}},Yn=new z(D.unsafeToForeign),Zn=new H(D.readChar),$n=new z(D.unsafeToForeign),_n=new H(D.readBoolean),ne=function(n){return new z((e=p.map(p.functorArray)(In(n)),function(n){return D.unsafeToForeign(e(n))}));var e},ee=function(n){return new H((e=function(e){return function(t){return i.mapExcept(d.lmap(a.bifunctorEither)(p.map(E.functorNonEmptyList)(D.ErrorAtIndex.create(e))))(Mn(n)(t))}},t.composeKleisli(o.bindExceptT(m.monadIdentity))(D.readArray)(function(n){return h.sequence(h.traversableArray)(o.applicativeExceptT(m.monadIdentity))(c.zipWith(e)(c.range(0)(c.length(n)))(n))})));var e};module.exports={countArgs:Hn,decode:Mn,decodeArgs:Bn,decodeOpts:Gn,decodeRecordWithOptions:Rn,decodeWithOptions:Nn,encode:In,encodeArgs:Tn,encodeOpts:yn,encodeRecordWithOptions:mn,encodeWithOptions:pn,TaggedObject:P,defaultOptions:qn,Decode:H,Encode:z,DecodeWithOptions:V,EncodeWithOptions:M,DecodeRecord:k,EncodeRecord:J,GenericDecode:B,GenericEncode:G,GenericDecodeArgs:U,GenericEncodeArgs:W,GenericCountArgs:K,voidDecode:X,unitDecode:Z,foreignDecode:fn,stringDecode:_,charDecode:Zn,booleanDecode:_n,numberDecode:en,intDecode:rn,identityDecode:zn,arrayDecode:ee,maybeDecode:Vn,objectDecode:kn,recordDecode:Ln,voidEncode:Q,unitEncode:Y,foreignEncode:sn,stringEncode:$,charEncode:Yn,booleanEncode:$n,numberEncode:nn,intEncode:tn,identityEncode:Fn,arrayEncode:ne,maybeEncode:Dn,objectEncode:jn,recordEncode:Sn,decodeWithOptionsRecord:Cn,decodeWithOptionsOther:Jn,encodeWithOptionsRecord:gn,encodeWithOptionsOther:An,decodeRecordNil:Pn,encodeRecordNil:En,decodeRecordCons:Wn,encodeRecordCons:xn,genericDecodeNoConstructors:un,genericEncodeNoConstructors:wn,genericDecodeConstructor:Xn,genericEncodeConstructor:hn,genericDecodeSum:Un,genericEncodeSum:vn,genericDecodeArgsNoArguments:cn,genericEncodeArgsNoArguments:on,genericDecodeArgsArgument:On,genericEncodeArgsArgument:ln,genericDecodeArgsProduct:Kn,genericEncodeArgsProduct:bn,genericCountArgsNoArguments:dn,genericCountArgsArgument:an,genericCountArgsProduct:Qn}; 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{ +"use strict";var e=require("../Data.CommutativeRing/index.js"),n=require("../Data.DivisionRing/index.js"),r=require("../Data.Eq/index.js"),t=require("../Data.EuclideanRing/index.js"),i=require("../Data.Lens.Getter/index.js"),u=require("../Data.Lens.Iso/index.js"),o=require("../Data.Lens.Iso.Newtype/index.js"),a=require("../Data.Maybe/index.js"),c=require("../Data.Newtype/index.js"),d=require("../Data.Number.Format/index.js"),s=require("../Data.Ord/index.js"),p=require("../Data.Ring/index.js"),w=require("../Data.Semiring/index.js"),f=require("../Data.Show/index.js"),g=require("../Data.String.CodeUnits/index.js"),m=require("../Data.String.Common/index.js"),h=require("../Data.String.Pattern/index.js"),x=require("../Foreign.Generic.Class/index.js"),q=require("../Math/index.js"),l=function(e){return e},D=function(e){return e},N=function(e){return e},j=new f.Show(function(e){return e}),B=new f.Show(function(e){return d.toStringWith(d.fixed(0))(e)+" 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a.Just)return c.wrap(S)(r.value0);throw new Error("Failed pattern match at Genetics.Browser.Types (line 47, column 6 - line 49, column 28): "+[r.constructor.name])},U=function(e){return i.to(d.toStringWith(d.precision(e)))},k=function(e){return i.to(d.toStringWith(d.fixed(e)))},z=function(e){return i.to(d.toStringWith(d.exponential(e)))},A=function(e){return u.iso(function(e){return c.wrap(I)(-q.log(e)/q.ln10)})(function(e){return q.pow(10)(-e)})(e)},H=function(e){return o._Newtype(S)(S)(e)},K=function(e){return o._Newtype(R)(R)(e)};module.exports={Bp:N,_Bp:K,ChrId:D,chrId:T,validChrId:b,_ChrId:H,NegLog10:l,_NegLog10:A,_prec:U,_fixed:k,_exp:z,newtypeBp:R,eqBp:P,ordBp:C,semiringBp:y,ringBp:v,divisionRingBp:W,euclideanRingBp:L,commutativeRingBp:O,encodeBp:G,decodeBp:M,showBp:B,newtypeChrId:S,eqChrId:_,ordChrId:E,encodeChrId:F,decodeChrId:J,showChrId:j,newtypeNegLog10:I}; 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e.toExponential(n)}},exports.unsafeToPrecision=function(n){return function(e){return e.toPrecision(n)}},exports.unsafeDecodeURI=decodeURI,exports.unsafeEncodeURI=encodeURI,exports.unsafeDecodeURIComponent=decodeURIComponent,exports.unsafeEncodeURIComponent=encodeURIComponent; +},{}],"qSZP":[function(require,module,exports) { +"use strict";var e=require("./foreign.js");module.exports={unsafeStringify:e.unsafeStringify,unsafeToFixed:e.unsafeToFixed,unsafeToExponential:e.unsafeToExponential,unsafeToPrecision:e.unsafeToPrecision,unsafeDecodeURI:e.unsafeDecodeURI,unsafeEncodeURI:e.unsafeEncodeURI,unsafeDecodeURIComponent:e.unsafeDecodeURIComponent,unsafeEncodeURIComponent:e.unsafeEncodeURIComponent}; +},{"./foreign.js":"7rcn"}],"7bYH":[function(require,module,exports) { +"use strict";var n=require("../Control.Applicative/index.js"),e=require("../Control.Bind/index.js"),r=require("../Control.Monad.Except.Trans/index.js"),i=require("../Data.Array/index.js"),t=require("../Data.BigInt/index.js"),u=require("../Data.Boolean/index.js"),a=require("../Data.Either/index.js"),o=require("../Data.Eq/index.js"),d=require("../Data.EuclideanRing/index.js"),c=require("../Data.Foldable/index.js"),l=require("../Data.Functor/index.js"),s=require("../Data.Generic.Rep/index.js"),f=require("../Data.Identity/index.js"),p=require("../Data.Lens.Getter/index.js"),m=require("../Data.Lens.Internal.Forget/index.js"),g=require("../Data.Lens.Iso.Newtype/index.js"),v=require("../Data.List.Types/index.js"),x=require("../Data.Map.Internal/index.js"),w=require("../Data.Maybe/index.js"),b=require("../Data.Monoid.Additive/index.js"),y=require("../Data.Newtype/index.js"),I=require("../Data.Ord/index.js"),q=require("../Data.Pair/index.js"),h=require("../Data.Ring/index.js"),j=require("../Data.Semiring/index.js"),B=require("../Data.Traversable/index.js"),T=require("../Data.Tuple/index.js"),S=require("../Foreign/index.js"),P=require("../Foreign.Index/index.js"),D=require("../Genetics.Browser.Types/index.js"),F=require("../Global.Unsafe/index.js"),E=function(n){return 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{ +exports._parseJSON=JSON.parse,exports._undefined=void 0; +},{}],"DqNI":[function(require,module,exports) { +"use strict";var e=require("./foreign.js"),n=require("../Control.Alt/index.js"),r=require("../Control.Applicative/index.js"),t=require("../Control.Apply/index.js"),i=require("../Control.Bind/index.js"),u=require("../Control.Category/index.js"),o=require("../Control.Monad.Except/index.js"),a=require("../Control.Monad.Except.Trans/index.js"),c=require("../Control.Semigroupoid/index.js"),f=require("../Data.Bifunctor/index.js"),d=require("../Data.Boolean/index.js"),l=require("../Data.Either/index.js"),p=require("../Data.Function/index.js"),s=require("../Data.Functor/index.js"),m=require("../Data.Identity/index.js"),y=require("../Data.List.Types/index.js"),x=require("../Data.Maybe/index.js"),w=require("../Data.Nullable/index.js"),g=require("../Data.Semigroup/index.js"),F=require("../Data.Symbol/index.js"),v=require("../Data.Traversable/index.js"),b=require("../Data.TraversableWithIndex/index.js"),E=require("../Data.Variant/index.js"),I=require("../Effect.Exception/index.js"),T=require("../Effect.Uncurried/index.js"),h=require("../Effect.Unsafe/index.js"),j=require("../Foreign/index.js"),q=require("../Foreign.Index/index.js"),S=require("../Foreign.Object/index.js"),N=require("../Global.Unsafe/index.js"),L=require("../Partial.Unsafe/index.js"),P=require("../Record/index.js"),R=require("../Record.Builder/index.js"),D=require("../Type.Data.RowList/index.js"),O=function(e){this.writeVariantImpl=e},V=function(e){this.writeImplFields=e},C=function(e){this.writeImpl=e},W=function(e){this.readVariantImpl=e},A=function(e){this.getFields=e},B=function(e){this.readImpl=e},M=function(e){return 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{ +"use strict";var 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e[t]}}};exports.url=t("URL"),exports.documentURI=t("documentURI"),exports.origin=t("origin"),exports.compatMode=t("compatMode"),exports.characterSet=t("characterSet"),exports.contentType=t("contentType"),exports._doctype=t("doctype"),exports._documentElement=t("documentElement"),exports.getElementsByTagName=function(t){return function(e){return function(){return e.getElementsByTagName(t)}}},exports._getElementsByTagNameNS=function(t){return function(e){return function(n){return function(){return n.getElementsByTagNameNS(t,e)}}}},exports.getElementsByClassName=function(t){return function(e){return function(){return e.getElementsByClassName(t)}}},exports.createElement=function(t){return function(e){return function(){return e.createElement(t)}}},exports._createElementNS=function(t){return function(e){return function(n){return function(){return n.createElementNS(t,e)}}}},exports.createDocumentFragment=function(t){return function(){return 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e._createElementNS(n.toNullable(t))};module.exports={fromNode:f,fromParentNode:i,fromNonElementParentNode:l,fromEventTarget:g,toNode:m,toParentNode:c,toNonElementParentNode:u,toEventTarget:d,doctype:E,documentElement:N,getElementsByTagNameNS:s,createElementNS:T,url:e.url,documentURI:e.documentURI,origin:e.origin,compatMode:e.compatMode,characterSet:e.characterSet,contentType:e.contentType,getElementsByTagName:e.getElementsByTagName,getElementsByClassName:e.getElementsByClassName,createElement:e.createElement,createDocumentFragment:e.createDocumentFragment,createTextNode:e.createTextNode,createComment:e.createComment,createProcessingInstruction:e.createProcessingInstruction,importNode:e.importNode,adoptNode:e.adoptNode}; +},{"./foreign.js":"CI3f","../Data.Functor/index.js":"+0AE","../Data.Nullable/index.js":"YQ8o","../Effect/index.js":"oTWB","../Unsafe.Coerce/index.js":"ETUV","../Web.Internal.FFI/index.js":"fdUh"}],"9SEv":[function(require,module,exports) { +"use strict";var e=function(e){return function(t){return function(){return t[e]}}};exports.children=e("children"),exports._firstElementChild=e("firstElementChild"),exports._lastElementChild=e("lastElementChild"),exports.childElementCount=e("childElementCount"),exports._querySelector=function(e){return function(t){return function(){return t.querySelector(e)}}},exports.querySelectorAll=function(e){return function(t){return function(){return t.querySelectorAll(e)}}}; +},{}],"lU5U":[function(require,module,exports) { +"use strict";var e=require("./foreign.js"),r=require("../Data.Eq/index.js"),t=require("../Data.Functor/index.js"),n=require("../Data.Newtype/index.js"),u=require("../Data.Nullable/index.js"),i=require("../Data.Ord/index.js"),l=require("../Effect/index.js"),o=function(e){return e},c=function(r){var n=t.map(l.functorEffect)(u.toMaybe),i=e._querySelector(r);return function(e){return n(i(e))}},a=i.ordString,f=new n.Newtype(function(e){return e},o),d=function(){var r=t.map(l.functorEffect)(u.toMaybe);return function(t){return r(e._lastElementChild(t))}}(),q=function(){var r=t.map(l.functorEffect)(u.toMaybe);return function(t){return r(e._firstElementChild(t))}}(),s=r.eqString;module.exports={firstElementChild:q,lastElementChild:d,QuerySelector:o,querySelector:c,eqQuerySelector:s,ordQuerySelector:a,newtypeQuerySelector:f,children:e.children,childElementCount:e.childElementCount,querySelectorAll:e.querySelectorAll}; +},{"./foreign.js":"9SEv","../Data.Eq/index.js":"Pq4F","../Data.Functor/index.js":"+0AE","../Data.Newtype/index.js":"lz8k","../Data.Nullable/index.js":"YQ8o","../Data.Ord/index.js":"r4Vb","../Effect/index.js":"oTWB"}],"UOgE":[function(require,module,exports) { +"use strict";exports.window=function(){return window}; +},{}],"UQRJ":[function(require,module,exports) { +"use strict";var e=require("./foreign.js");module.exports={window:e.window}; +},{"./foreign.js":"UOgE"}],"dln3":[function(require,module,exports) { +"use strict";exports._body=function(t){return function(){return t.body}},exports._readyState=function(t){return function(){return t.readyState}},exports._activeElement=function(t){return function(){return t.activeElement}},exports._currentScript=function(t){return function(){return t.currentScript}},exports.referrer=function(t){return function(){return t.referrer}},exports.title=function(t){return function(){return t.title}},exports.setTitle=function(t){return function(r){return function(){return r.title=t,{}}}}; +},{}],"v4VO":[function(require,module,exports) { +"use strict";var n=require("../Data.Eq/index.js"),e=require("../Data.Maybe/index.js"),t=require("../Data.Ord/index.js"),r=require("../Data.Ordering/index.js"),a=require("../Data.Show/index.js"),i=function(){function n(){}return n.value=new n,n}(),o=function(){function n(){}return n.value=new n,n}(),u=function(){function n(){}return n.value=new n,n}(),c=new a.Show(function(n){if(n instanceof i)return"Loading";if(n instanceof o)return"Interactive";if(n instanceof u)return"Complete";throw new Error("Failed pattern match at Web.HTML.HTMLDocument.ReadyState (line 15, column 10 - line 18, column 27): "+[n.constructor.name])}),f=function(n){if(n instanceof i)return"loading";if(n instanceof o)return"interactive";if(n instanceof u)return"complete";throw new Error("Failed pattern match at Web.HTML.HTMLDocument.ReadyState (line 21, column 9 - line 24, column 25): "+[n.constructor.name])},s=function(n){return"loading"===n?new e.Just(i.value):"interactive"===n?new e.Just(o.value):"complete"===n?new e.Just(u.value):e.Nothing.value},l=new n.Eq(function(n){return function(e){return n instanceof i&&e instanceof i||(n instanceof o&&e instanceof o||n instanceof u&&e instanceof u)}}),d=new t.Ord(function(){return l},function(n){return function(e){if(n instanceof i&&e instanceof i)return r.EQ.value;if(n instanceof i)return r.LT.value;if(e instanceof i)return r.GT.value;if(n instanceof o&&e instanceof o)return r.EQ.value;if(n instanceof o)return r.LT.value;if(e instanceof o)return r.GT.value;if(n instanceof u&&e instanceof u)return r.EQ.value;throw new Error("Failed pattern match at Web.HTML.HTMLDocument.ReadyState (line 12, column 1 - line 12, column 48): "+[n.constructor.name,e.constructor.name])}});module.exports={Loading:i,Interactive:o,Complete:u,print:f,parse:s,eqReadyState:l,ordReadyState:d,showReadyState:c}; +},{"../Data.Eq/index.js":"Pq4F","../Data.Maybe/index.js":"5mN7","../Data.Ord/index.js":"r4Vb","../Data.Ordering/index.js":"5Eun","../Data.Show/index.js":"mFY7"}],"EU5r":[function(require,module,exports) { +"use strict";var e=require("./foreign.js"),r=require("../Data.Functor/index.js"),t=require("../Data.Maybe/index.js"),n=require("../Data.Nullable/index.js"),o=require("../Effect/index.js"),a=require("../Unsafe.Coerce/index.js"),u=require("../Web.HTML.HTMLDocument.ReadyState/index.js"),f=require("../Web.Internal.FFI/index.js"),c=a.unsafeCoerce,i=a.unsafeCoerce,d=a.unsafeCoerce,s=a.unsafeCoerce,m=a.unsafeCoerce,T=function(){var n,a=r.map(o.functorEffect)((n=t.fromMaybe(u.Loading.value),function(e){return n(u.parse(e))}));return function(r){return a(e._readyState(r))}}(),g=f.unsafeReadProtoTagged("HTMLDocument"),l=f.unsafeReadProtoTagged("HTMLDocument"),M=f.unsafeReadProtoTagged("HTMLDocument"),D=f.unsafeReadProtoTagged("HTMLDocument"),E=f.unsafeReadProtoTagged("HTMLDocument"),b=function(){var t=r.map(o.functorEffect)(n.toMaybe);return function(r){return t(e._currentScript(r))}}(),v=function(){var t=r.map(o.functorEffect)(n.toMaybe);return function(r){return t(e._body(r))}}(),y=function(){var t=r.map(o.functorEffect)(n.toMaybe);return function(r){return t(e._activeElement(r))}}();module.exports={fromDocument:E,fromNode:M,fromParentNode:g,fromNonElementParentNode:l,fromEventTarget:D,toDocument:m,toNode:d,toParentNode:c,toNonElementParentNode:i,toEventTarget:s,body:v,readyState:T,activeElement:y,currentScript:b,referrer:e.referrer,title:e.title,setTitle:e.setTitle}; +},{"./foreign.js":"dln3","../Data.Functor/index.js":"+0AE","../Data.Maybe/index.js":"5mN7","../Data.Nullable/index.js":"YQ8o","../Effect/index.js":"oTWB","../Unsafe.Coerce/index.js":"ETUV","../Web.HTML.HTMLDocument.ReadyState/index.js":"v4VO","../Web.Internal.FFI/index.js":"fdUh"}],"qu+f":[function(require,module,exports) { +"use strict";exports.document=function(n){return function(){return n.document}},exports.navigator=function(n){return function(){return n.navigator}},exports.location=function(n){return function(){return n.location}},exports.history=function(n){return function(){return n.history}},exports.innerWidth=function(n){return function(){return n.innerWidth}},exports.innerHeight=function(n){return function(){return n.innerHeight}},exports.alert=function(n){return function(r){return function(){return r.alert(n),{}}}},exports.confirm=function(n){return function(r){return function(){return r.confirm(n)}}},exports.moveBy=function(n){return function(r){return function(t){return function(){return t.moveBy(n,r),{}}}}},exports.moveTo=function(n){return function(r){return function(t){return function(){return t.moveTo(n,r),{}}}}},exports._open=function(n){return function(r){return function(t){return function(e){return function(){return e.open(n,r,t)}}}}},exports.outerHeight=function(n){return function(){return n.outerHeight}},exports.outerWidth=function(n){return function(){return n.outerWidth}},exports.print=function(n){return function(){return n.print(),{}}},exports._prompt=function(n){return function(r){return function(t){return function(){return t.prompt(n,r)}}}},exports.resizeBy=function(n){return function(r){return function(t){return function(){return t.resizeBy(n,r),{}}}}},exports.resizeTo=function(n){return function(r){return function(t){return function(){return t.resizeTo(n,r),{}}}}},exports.screenX=function(n){return function(){return n.screenX}},exports.screenY=function(n){return function(){return n.screenY}},exports.scroll=function(n){return function(r){return function(t){return function(){return t.scroll(n,r),{}}}}},exports.scrollBy=function(n){return function(r){return function(t){return function(){return t.scrollBy(n,r),{}}}}},exports.scrollX=function(n){return function(){return n.scrollX}},exports.scrollY=function(n){return function(){return n.scrollY}},exports.localStorage=function(n){return function(){return n.localStorage}},exports.sessionStorage=function(n){return function(){return n.sessionStorage}},exports._requestAnimationFrame=function(n){return function(r){return function(){return r.requestAnimationFrame(n)}}},exports._cancelAnimationFrame=function(n){return function(r){return function(){return r.cancelAnimationFrame(n)}}},exports._requestIdleCallback=function(n){return function(r){return function(t){return function(){return t.requestIdleCallback(r,n)}}}},exports._cancelIdleCallback=function(n){return function(r){return function(){return r.cancelIdleCallback(n)}}},exports.parent=function(n){return function(){return n.parent}},exports._opener=function(n){return function(){return n.opener}}; +},{}],"o+50":[function(require,module,exports) { +"use strict";var e=require("./foreign.js"),n=require("../Data.Eq/index.js"),r=require("../Data.Functor/index.js"),t=require("../Data.Newtype/index.js"),o=require("../Data.Nullable/index.js"),u=require("../Data.Ord/index.js"),i=require("../Effect/index.js"),c=require("../Unsafe.Coerce/index.js"),a=function(e){return e},f=function(e){return e},l=c.unsafeCoerce,s=function(n){return function(t){var o=r.map(i.functorEffect)(a),u=e._requestIdleCallback(n)(t);return function(e){return o(u(e))}}},m=function(n){var t=r.map(i.functorEffect)(f),o=e._requestAnimationFrame(n);return function(e){return t(o(e))}},d=function(n){return function(t){return function(u){return r.map(i.functorEffect)(o.toMaybe)(e._prompt(n)(t)(u))}}},p=function(n){return function(t){return r.map(i.functorEffect)(o.toMaybe)(e._prompt(n)("")(t))}},q=function(n){return r.map(i.functorEffect)(o.toMaybe)(e._opener(n))},y=function(n){return function(t){return function(u){return function(c){return r.map(i.functorEffect)(o.toMaybe)(e._open(n)(t)(u)(c))}}}},I=new t.Newtype(function(e){return e},a),w=new t.Newtype(function(e){return e},f),b=new n.Eq(function(e){return function(n){return e===n}}),g=new u.Ord(function(){return b},function(e){return function(n){return u.compare(u.ordInt)(e)(n)}}),E=new n.Eq(function(e){return function(n){return e===n}}),h=new u.Ord(function(){return E},function(e){return function(n){return u.compare(u.ordInt)(e)(n)}}),v=function(n){return e._cancelIdleCallback(t.unwrap(I)(n))},C=function(n){return e._cancelAnimationFrame(t.unwrap(w)(n))};module.exports={toEventTarget:l,open:y,prompt:p,promptDefault:d,requestAnimationFrame:m,cancelAnimationFrame:C,requestIdleCallback:s,cancelIdleCallback:v,opener:q,newtypeRequestAnimationFrameId:w,eqRequestAnimationFrameId:E,ordRequestAnimationFrameId:h,newtypeRequestIdleCallbackId:I,eqRequestIdleCallbackId:b,ordRequestIdleCallbackId:g,document:e.document,navigator:e.navigator,location:e.location,history:e.history,innerWidth:e.innerWidth,innerHeight:e.innerHeight,alert:e.alert,confirm:e.confirm,moveBy:e.moveBy,moveTo:e.moveTo,outerHeight:e.outerHeight,outerWidth:e.outerWidth,print:e.print,resizeBy:e.resizeBy,resizeTo:e.resizeTo,screenX:e.screenX,screenY:e.screenY,scroll:e.scroll,scrollBy:e.scrollBy,scrollX:e.scrollX,scrollY:e.scrollY,localStorage:e.localStorage,sessionStorage:e.sessionStorage,parent:e.parent}; 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e=require("./foreign.js"),n=require("../Data.Bounded/index.js"),t=require("../Data.Enum/index.js"),r=require("../Data.Eq/index.js"),o=require("../Data.Maybe/index.js"),u=require("../Data.Ord/index.js"),a=require("../Data.Ordering/index.js"),i=require("../Unsafe.Coerce/index.js"),c=require("../Web.Internal.FFI/index.js"),f=function(){function e(){}return e.value=new e,e}(),s=function(){function e(){}return e.value=new e,e}(),d=function(){function e(){}return e.value=new e,e}(),l=function(){function e(){}return e.value=new e,e}(),v=i.unsafeCoerce,m=i.unsafeCoerce,E=function(e){return 0===e?new o.Just(f.value):1===e?new o.Just(s.value):2===e?new o.Just(d.value):3===e?new o.Just(l.value):o.Nothing.value},y=c.unsafeReadProtoTagged("KeyboardEvent"),K=c.unsafeReadProtoTagged("KeyboardEvent"),w=function(e){if(e instanceof f)return 0;if(e instanceof s)return 1;if(e instanceof d)return 2;if(e instanceof l)return 3;throw new Error("Failed pattern match at Web.UIEvent.KeyboardEvent (line 107, 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{ +var e=require("./output/Genetics.Browser.UI");window.GenomeBrowser=e; +},{"./output/Genetics.Browser.UI":"JuOH"}]},{},["Focm"], null)
\ No newline at end of file diff --git a/wqflask/wqflask/templates/base.html b/wqflask/wqflask/templates/base.html index 3df4c81a..f9d4e859 100644 --- a/wqflask/wqflask/templates/base.html +++ b/wqflask/wqflask/templates/base.html @@ -4,9 +4,11 @@ <head> <meta charset="utf-8"> - <title>{% block title %}{% endblock %} GeneNetwork</title> + <title>{% block title %}{% endblock %}</title> <meta name="description" content=""> <meta name="author" content=""> + <link rel="icon" type="image/png" sizes="64x64" href="/static/new/images/CITGLogo.png"> + <link rel="apple-touch-icon" type="image/png" sizes="64x64" href="/static/new/images/CITGLogo.png"> <link REL="stylesheet" TYPE="text/css" href="/static/packages/bootstrap/css/bootstrap.css" /> <link REL="stylesheet" TYPE="text/css" href="/static/packages/bootstrap/css/non-responsive.css" /> <link REL="stylesheet" TYPE="text/css" href="/static/packages/bootstrap/css/docs.css" /> @@ -19,55 +21,70 @@ </head> -<body style="width: 100% !important;"> +<body style="width: 100%"> <!-- Navbar ================================================== --> - <div class="navbar navbar-inverse navbar-static-top pull-left" role="navigation" style="width: 100%;"> - + <div class="navbar navbar-inverse navbar-static-top pull-left" role="navigation" style="width: 100%; min-width: 770px; white-space: nowrap;"> + <!--<div class="navbar navbar-default" style="width: 100%; white-space: nowrap;">--> <div class="container-fluid" style="width: 100%;"> <!-- Brand and toggle get grouped for better mobile display --> + <!--- <div class="navbar-header"> - <a class="navbar-brand" href="/">GeneNetwork</a> + <a class="navbar-brand" href="/">GeneNetwork</a> </div> + --> <!-- Collect the nav links, forms, and other content for toggling --> <div> <ul class="nav navbar-nav"> + <li class="" style="margin-right: 20px;"> + <a href="/" style="font-weight: bold;">GeneNetwork</a> + </li> <li class=""> - <a href="/intro">Intro</a> + <a href="/help" class="dropdow-toggle" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">Intro <span class="caret"></a> + <ul class="dropdown-menu"> + <li><a href="/intro">Intro</a></li> + <li><a href="/submit_trait">Submit Trait</a></li> + <li><a href="http://genenetwork.org/webqtl/main.py?FormID=batSubmit">Batch Submission</a></li> + </ul> </li> <li class=""> - <a href="/">Search</a> + <a href="/help" class="dropdow-toggle" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">Help <span class="caret"></a> + <ul class="dropdown-menu"> + <li><a href="/references">References</a></li> + <li><a href="/tutorials">Tutorials/Primers</a></li> + <li><a href="http://gn1.genenetwork.org/glossary.html">Glossary of Term</a></li> + <li><a href="http://gn1.genenetwork.org/faq.html">FAQ</a></li> + <li><a href="/policies">Policies</a></li> + <li><a href="/links">Links</a></li> + <li><a href="/environments">Environments</a></li> + <li><a href="/news">GN1 News</a></li> + </ul> </li> <li class=""> - <a href="/submit_trait">Submit Trait</a> + <a href="/help" class="dropdow-toggle" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">Tools <span class="caret"></a> + <ul class="dropdown-menu"> + <li><a href="/snp_browser">Variant Browser</a></li> + <li><a href="http://bnw.genenetwork.org/BNW/sourcecodes/home.php">Bayesian Network Webserver</a></li> + <li><a href="https://systems-genetics.org/">Systems Genetics PheWAS</a></li> + <li><a href="http://ucscbrowser.genenetwork.org/">Genome Browser</a></li> + <li><a href="http://power.genenetwork.org">BXD Power Calculator</a></li> + <li><a href="httP://datafiles.genenetwork.org">Interplanetary File System</a></li> + </ul> </li> <li class=""> <a href="/collections/list">Collections - {% if g.user_session.logged_in %} <span class="badge badge-info">{{ g.user_session.num_collections }}</span> - {% else %} - <span class="badge badge-info">{{ g.cookie_session.display_num_collections() }}</span> - {% endif %} </a> </li> <li class=""> - <a href="/help">Help</a> - </li> - <li class=""> - <a href="/news">News</a> - </li> - <li class=""> - <a href="/references">References</a> - </li> - <li class=""> - <a href="/policies">Policies</a> - </li> - <li class=""> - <a href="/links">Links</a> - </li> - <li class=""> - <a href="/environments">Environments</a> + <a href="/repositories" class="dropdow-toggle" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">Source Code <span class="caret"></a> + <ul class="dropdown-menu"> + <li><a href="https://github.com/genenetwork/genenetwork2">GN2 Source Code</a></li> + <li><a href="https://github.com/genenetwork/genenetwork">GN1 Source Code</a></li> + <li><a href="https://github.com/genenetwork/sysmaintenance">System Maintenance Code</a></li> + <li><a href="https://github.com/genenetwork/genenetwork2/blob/testing/doc/API_readme.md">REST API Documentation</a></li> + </ul> </li> <li class=""> {% if g.user_session.logged_in %} @@ -76,27 +93,26 @@ <a id="login_in" href="/n/login">Sign in</a> {% endif %} </li> + <!-- <li style="margin-left: 20px;"> <a href="http://gn2-staging.genenetwork.org" style="font-weight: bold;" >Use Staging Branch</a> </li> - <li style="margin-left: 20px;"> - <a href="http://www.genenetwork.org" style="font-weight: bold;" >Use GeneNetwork 1</a> - </li> + --> </ul> </div> </div> </div> - <div class="container-fluid" style="position: relative; background-color: #d5d5d5; height: 95px;"> + <div class="container-fluid" style="width: 100%; min-width: 650px; position: relative; background-color: #d5d5d5; height: 84px;"> <form method="get" action="/gsearch"> - <div class="row" style="position: absolute; bottom: 0; top: 30px;"> - <select class="form-control col-xs-2" style="width: 170px; margin-top: 15px; margin-left: 10px;" name="type"> + <div class="row" style="width: 100%; position: absolute; bottom: 0; top: 30px;"> + <select style="width: 160px; margin-top: 15px; margin-left: 20px;" name="type"> <option value="gene">Genes / Molecules</option> <option value="phenotype" {% if type=="phenotype" %}selected{% endif %}>Phenotypes</option> </select> - <input class="btn btn-primary form-control col-xs-2" style="width: 100px; margin-top: 15px; margin-left: 10px;" type="submit" value="Search All"> - <input class="form-control col-xs-6" style="width: 600px; margin-top: 15px; margin-left: 10px;" type="text" name="terms" required> + <input class="btn btn-primary" style="width: 100px; margin-left: 10px;" type="submit" value="Search All"> + <input style="width: 50%; margin-top: 15px; margin-left: 10px;" type="text" name="terms" required> </div> </form> </div> @@ -105,54 +121,77 @@ {% endblock %} <footer class="footer"> - <div class="container"> - <p>GeneNetwork is a framework for web based genetics - launched in 1994 as - <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=8043953"> - The Portable Dictionary of the Mouse Genome</a> (previously <a href="https://www.ncbi.nlm.nih.gov/pubmed/15043217">WebQTL</a>). - </p> - <p> - Operated by - <a href="mailto:rwilliams@uthsc.edu">Rob Williams</a>, - <a href="mailto:lyan6@uthsc.edu">Lei Yan</a>, - <a href="mailto:zachary.a.sloan@gmail.com">Zachary Sloan</a>, - <a href="mailto:acenteno@uthsc.edu">Arthur Centeno</a> and - <a href="http://thebird.nl/">Pjotr Prins</a>. - </p> - <p>Published in - <a href="http://joss.theoj.org/papers/10.21105/joss.00025"><img src="https://camo.githubusercontent.com/846b750f582ae8f1d0b4f7e8fee78bed705c88ba/687474703a2f2f6a6f73732e7468656f6a2e6f72672f7061706572732f31302e32313130352f6a6f73732e30303032352f7374617475732e737667" alt="JOSS" data-canonical-src="http://joss.theoj.org/papers/10.21105/joss.00025/status.svg" style="max-width:100%;"></a> - </p> - <br /> - <p>GeneNetwork is supported by:</p> - <UL> - <LI> - <a href="http://citg.uthsc.edu"> - The UT Center for Integrative and Translational Genomics - </A> - </li> - <LI><a href="http://www.iniastress.org">NIAAA</A> - Integrative Neuroscience Initiative on Alcoholism - (U01 AA016662, U01 AA013499, U24 AA013513, U01 AA014425) - </li> - <LI> - <a - href="https://www.drugabuse.gov/">NIDA</A>, <a class="smallsize" href="http://www.nimh.nih.gov/">NIMH</A> - , and <a class="smallsize" href="http://www.niaaa.nih.gov/"> - NIAAA</A> (P20-DA 21131) - </li> - <LI>NCI <a href="http://emice.nci.nih.gov/">MMHCC</A> (U01CA105417) and - <a href="https://en.wikipedia.org/wiki/National_Center_for_Research_Resources">NCRR</a> - <a href="https://en.wikipedia.org/wiki/Biomedical_Informatics_Research_Network">BIRN</a> - (U24 RR021760) - </li> - </UL> - <!--</p>--> - <p> - Development and source code on <a href="https://github.com/genenetwork/">github</a> with <a href="https://github.com/genenetwork/genenetwork2/issues">issue tracker</a> and <a href="https://github.com/genenetwork/genenetwork2/blob/master/README.md">documentation</a>. Join the <a href="http://listserv.uthsc.edu/mailman/listinfo/genenetwork-dev">mailing list</a> and find us on <a href="https://webchat.freenode.net/">IRC</a> (#genenetwork channel). - {% if version: %} - <p><small>GeneNetwork {{ version }}</small></p> - {% endif %} - + <div class="row" style="margin: 10px; width: 100%; min-width: 1200px;"> + <div class="col-xs-6"> + <p> Web services initiated January, 1994 as + <a href="http://www.ncbi.nlm.nih.gov/pubmed?term=8043953"> + The Portable Dictionary of the Mouse Genome + </a>; June 15, 2001 as <a href="https://www.ncbi.nlm.nih.gov/pubmed/15043217">WebQTL</a>; and Jan 5, 2005 as GeneNetwork. + </p> + <p> + This site is currently operated by + <a href="mailto:rwilliams@uthsc.edu">Rob Williams</a>, + <a href="http://thebird.nl/">Pjotr Prins</a>, + <a href="http://www.senresearch.org">Saunak Sen</a>, + <a href="mailto:zachary.a.sloan@gmail.com">Zachary Sloan</a>, + <a href="mailto:acenteno@uthsc.edu">Arthur Centeno</a>, + and <a href="mailto:cfische7@uthsc.edu">Christian Fischer</a>. + </p> + <p>Design and code by Pjotr Prins, Zach Sloan, Arthur Centeno, Christan Fischer, Danny Arends, Sam Ockman, Lei Yan, Xiaodong Zhou, Christian Fernandez, + Ning Liu, Rudi Alberts, Elissa Chesler, Sujoy Roy, Evan G. Williams, Alexander G. Williams, Kenneth Manly, Jintao Wang, Robert W. Williams, and + <!--<a href="http://genenetwork.org/credit.html">colleagues</a>.</p>--> + <a href="/credits">colleagues</a>.</p> + <br /> + <p>GeneNetwork support from:</p> + <ul> + <li> + <a href="http://citg.uthsc.edu"> + The UT Center for Integrative and Translational Genomics + </a> + </li> + <li> + <a href="https://www.nigms.nih.gov/">NIGMS</a> + Systems Genetics and Precision Medicine Project (R01 GM123489, 2017-2021) + </li> + <li> + <a href="https://www.drugabuse.gov/">NIDA</a> + NIDA Core Center of Excellence in Transcriptomics, Systems Genetics, and the Addictome (P30 DA044223, 2017-2022) + </li> + <li> + <a href="http://www.nia.nih.gov/">NIA</a> + Translational Systems Genetics of Mitochondria, Metabolism, and Aging (R01AG043930, 2013-2018) + </li> + <li> + <a href="http://www.iniastress.org/">NIAAA</a> + Integrative Neuroscience Initiative on Alcoholism (U01 AA016662, U01 AA013499, U24 AA013513, U01 AA014425, 2006-2017) + </li> + <li> + <a href="http://www.drugabuse.gov/">NIDA</a>, <a href="http://www.nimh.nih.gov/">NIMH</a>, and <a href="http://www.niaaa.nih.gov/">NIAAA</a> + (P20-DA 21131, 2001-2012) + </li> + <li> + NCI <a href="http://emice.nci.nih.gov/">MMHCC</a> (U01CA105417), NCRR, <a href="http://www.birncommunity.org/">BIRN</a>, (U24 RR021760) + </li> + </UL> + <!--</p>--> + <p>Published in + <a href="http://joss.theoj.org/papers/10.21105/joss.00025"><img src="https://camo.githubusercontent.com/846b750f582ae8f1d0b4f7e8fee78bed705c88ba/687474703a2f2f6a6f73732e7468656f6a2e6f72672f7061706572732f31302e32313130352f6a6f73732e30303032352f7374617475732e737667" alt="JOSS" data-canonical-src="http://joss.theoj.org/papers/10.21105/joss.00025/status.svg" style="max-width:100%;"></a> + </p> + <p> + Development and source code on <a href="https://github.com/genenetwork/">github</a> with <a href="https://github.com/genenetwork/genenetwork2/issues">issue tracker</a> and <a href="https://github.com/genenetwork/genenetwork2/blob/master/README.md">documentation</a>. Join the <a href="http://listserv.uthsc.edu/mailman/listinfo/genenetwork-dev">mailing list</a> and find us on <a href="https://webchat.freenode.net/">IRC</a> (#genenetwork channel). + {% if version: %} + <p><small>GeneNetwork {{ version }}</small></p> + {% endif %} + + </div> + <div class="col-xs-2"> + <a href="http://www.python.org/" target="_blank"> + <img src="/static/new/images/PythonLogo.png" alt="Python Powered" border="0"> + </a> + <a href="http://www.neuinfo.org" target="_blank"> + <img src="/static/new/images/Nif.png" alt="Registered with Nif" border="0"> + </a> + </div> </div> </footer> @@ -186,7 +225,7 @@ </script> <script src="/static/new/js_external/jquery.cookie.js"></script> <script type="text/javascript" src="/static/new/js_external/json2.js"></script> - <script src="http://ajax.googleapis.com/ajax/libs/jqueryui/1.9.1/jquery-ui.min.js" type="text/javascript"></script> + <script src="https://ajax.googleapis.com/ajax/libs/jqueryui/1.9.1/jquery-ui.min.js" type="text/javascript"></script> <script language="javascript" type="text/javascript" src="/static/packages/colorbox/jquery.colorbox.js"></script> <!--<script type="text/javascript" src="/static/new/javascript/login.js"></script>--> diff --git a/wqflask/wqflask/templates/bnw_page.html b/wqflask/wqflask/templates/bnw_page.html new file mode 100644 index 00000000..e506d8a8 --- /dev/null +++ b/wqflask/wqflask/templates/bnw_page.html @@ -0,0 +1,7 @@ +<title>Opening BNW</title> +<form method="post" action="http://bnw.genenetwork.org/BNW/sourcecodes/bn_genenet.php" name="bnwform" id="bnwform"> + <input type="hidden" name="My_Genenet" value="{{ form_value }}"> +</form> +<script type="text/javascript"> + document.bnwform.submit(); +</script>
\ No newline at end of file diff --git a/wqflask/wqflask/templates/collections/add.html b/wqflask/wqflask/templates/collections/add.html index 603947f4..825dfb84 100644 --- a/wqflask/wqflask/templates/collections/add.html +++ b/wqflask/wqflask/templates/collections/add.html @@ -6,34 +6,44 @@ </div> <div class="modal-body" style="margin-left: 20px;"> <form action="/collections/new" data-validate="parsley" id="add_form"> + {% if traits is defined %} <input type="hidden" name="traits" value="{{ traits }}" /> + {% else %} + <input type="hidden" name="hash" value="{{ hash }}" /> + {% endif %} + {% if collections|length > 0 %} <fieldset> - <legend>1. Create a new collection</legend> - <div style="margin-left: 20px;"> - <!--<label>Collection name:</label>--> - <input type="text" name="new_collection" placeholder=" Name of new collection..." - data-trigger="change" data-minlength="5" data-maxlength="50" style="width: 100%"> - <button type="submit" name="create_new" class="btn btn-primary" style="margin-top: 20px;">Create collection</button> - {% if uc is not defined %} - <span class="help-block" style="color:red;">This collection will be saved to this computer for 5 days.</span> - {% endif %} - </div> - </fieldset> - <hr /> - <fieldset> - <legend>2. Add to an existing collection</legend> + <legend>1. Add to an existing collection</legend> <div style="margin-left: 20px;"> <!--<label>Existing collection name:</label>--> <select name="existing_collection" class="form-control"> - <option selected disabled>Select Collection</option> + <!--<option selected disabled>Select Collection</option>--> {% for col in collections %} + {% if loop.index == 1 %} + <option value="{{ col.id }}:{{ col.name }}" selected>{{ col.name }}</option> + {% else %} <option value="{{ col.id }}:{{ col.name }}">{{ col.name }}</option> + {% endif %} {% endfor %} </select> <br /> <button type="submit" name="add_to_existing" class="btn btn-primary">Add to existing collection</button> </div> </fieldset> + {% endif %} + <hr /> + <fieldset> + <legend>{% if collections|length > 0 %}2. {% else %}{% endif %}Create a new collection</legend> + <div style="margin-left: 20px;"> + <!--<label>Collection name:</label>--> + <input type="text" name="new_collection" placeholder=" Name of new collection..." + data-trigger="change" data-minlength="5" data-maxlength="50" style="width: 100%"> + <button type="submit" name="create_new" class="btn btn-primary" style="margin-top: 20px;">Create collection</button> + {% if uc is not defined %} + <span class="help-block">This collection will be saved to your computer for a year (or until you clear your cache).</span> + {% endif %} + </div> + </fieldset> </form> </div> </div> diff --git a/wqflask/wqflask/templates/collections/list.html b/wqflask/wqflask/templates/collections/list.html index 64d5a676..3829b950 100644 --- a/wqflask/wqflask/templates/collections/list.html +++ b/wqflask/wqflask/templates/collections/list.html @@ -2,28 +2,18 @@ {% block title %}Your Collections{% endblock %} {% block css %} <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" /> - <link rel="stylesheet" type="text/css" href="/static/packages/DT_bootstrap/DT_bootstrap.css" /> <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/extensions/buttons.bootstrap.css" /> + <link rel="stylesheet" type="text/css" href="/static/new/css/show_trait.css" /> {% endblock %} {% block content %} <!-- Start of body --> - {% if g.user_session.logged_in %} - {{ header("Your Collections", - 'You have {}.'.format(numify(collections|count, "collection", "collections"))) }} - {% else %} - {{ header("Your Collections", - 'You have {}.'.format(numify(collections|count, "collection", "collections"))) }} - {% endif %} - - <div class="container"> - <div class="page-header"> - {% if g.user_session.logged_in %} - <h1>Collections owned by {{ g.user_session.user_name }}</h1> - {% else %} - <h1>Your Collections</h1> - {% endif %} - </div> + {% if g.user_session.logged_in %} + <h1>Collections owned by {{ g.user_session.user_name }}</h1> + {% else %} + <h1>Your Collections</h1> + {% endif %} + <div> <form id="collections_form" action="/delete" method="post"> <input type="hidden" name="uc_id" id="uc_id" value="" /> @@ -32,10 +22,13 @@ <button class="btn btn-default" id="deselect_all"><span class="glyphicon glyphicon-remove"></span> Deselect All</button> <button class="btn btn-default" id="invert"><span class="glyphicon glyphicon-resize-vertical"></span> Invert</button> <button class="btn btn-danger" id="remove_collections" data-url="/collections/delete">Remove Collections</button> + <input type="text" id="searchbox" class="form-control" style="width: 200px; display: inline;" placeholder="Search This Table For ..."> + <input type="text" id="select_top" class="form-control" style="width: 200px; display: inline;" placeholder="Select Top ..."> </div> <br> - <div id="collections_list" style="width:50%;"> - <table class="display dataTable nowrap" id='trait_table'> + <div id="collections_list" style="width:50%; margin-top: 20px; margin-bottom: 20px;"> + {% if collections|length > 0 %} + <table class="table-hover table-striped cell-border" id='trait_table' style="float: left;"> <thead> <tr> <th></th> @@ -50,29 +43,19 @@ <tbody> {% for uc in collections %} <tr class="collection_line"> - {% if g.user_session.logged_in %} - <td style="padding-left: 8px; padding-right: 0px; padding-top: 4px; align: center;"><INPUT TYPE="checkbox" NAME="collection" class="checkbox trait_checkbox" VALUE="{{ uc.id }}"></td> - {% else %} - <td style="padding-left: 8px; padding-right: 0px; padding-top: 4px; align: center;"><INPUT TYPE="checkbox" NAME="collection" class="checkbox trait_checkbox" VALUE="{{ uc.name }}"></td> - {% endif %} + <td align="center" style="padding: 0px;"><INPUT TYPE="checkbox" NAME="collection" class="checkbox trait_checkbox" VALUE="{{ uc.id }}"></td> <td align="right">{{ loop.index }} - {% if g.user_session.logged_in %} <td><a class="collection_name" href="{{ url_for('view_collection', uc_id=uc.id) }}">{{ uc.name }}</a></td> - {% else %} - <td><a class="collection_name" href="{{ url_for('view_collection', collection_id=uc.id) }}">{{ uc.name }}</a></td> - {% endif %} - {% if g.user_session.logged_in %} <td>{{ uc.created_timestamp }}</td> <td>{{ uc.changed_timestamp }}</td> - {% else %} - <td>{{ timeago(uc.created_timestamp.isoformat() + "Z") }}</td> - <td>{{ timeago(uc.changed_timestamp.isoformat() + "Z") }}</td> - {% endif %} <td align="right">{{ uc.num_members }}</td> </tr> {% endfor %} </tbody> </table> + {% else %} + You have no collections yet. + {% endif %} </div> </div> @@ -84,13 +67,9 @@ <script type="text/javascript" src="/static/packages/smart-time-ago/lib/timeago.js"></script> <script type="text/javascript" src="/static/new/javascript/search_results.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.dataTables.min.js"></script> - <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/buttons/1.0.0/js/dataTables.buttons.min.js"></script> - <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/buttons/1.0.0/js/buttons.html5.min.js"></script> - <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/buttons/1.0.0/js/buttons.bootstrap.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/js_external/jszip.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.naturalSort.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colResize.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colReorder.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.buttons.min.js"></script> <script> $('#trait_table').dataTable( { "drawCallback": function( settings ) { @@ -100,6 +79,7 @@ } }); }, + "buttons": [ 'copy', 'csv', 'excel' ], "columns": [ { "type": "natural", "width": "3%" }, { "type": "natural", "width": "8%" }, @@ -113,12 +93,11 @@ "orderable": false } ], "order": [[1, "asc" ]], - "sDom": "RZtr", + "sDom": "BZtr", "iDisplayLength": -1, - "autoWidth": true, + "autoWidth": false, "bDeferRender": true, "bSortClasses": false, - "scrollY": "600px", "scrollCollapse": true, "paging": false, "orderClasses": true diff --git a/wqflask/wqflask/templates/collections/view.html b/wqflask/wqflask/templates/collections/view.html index 864299a2..6639f46a 100644 --- a/wqflask/wqflask/templates/collections/view.html +++ b/wqflask/wqflask/templates/collections/view.html @@ -3,125 +3,151 @@ {% block css %} <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" /> <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/extensions/buttons.dataTables.css"> + <link rel="stylesheet" type="text/css" href="/static/new/css/show_trait.css" /> {% endblock %} {% block content %} <!-- Start of body --> - <div class="container"> - {% if uc %} - <h2>{{ uc.name }}</h2> - <h3>{{ 'This collection has {}.'.format(numify(trait_obs|count, "record", "records")) }}</h3> - {% else %} - <h2> {{ collection_name }}</h2> - <h3>{{ 'This collection has {}.'.format(numify(trait_obs|count, "record", "records")) }}</h3> - {% endif %} - </div> + <div class="container" style="min-width: 1250px;"> + <h1> + <span id="collection_name">{{ uc.name }}</span> + <input type="text" name="new_collection_name" style="font-size: 20px; display: none; width: 500px;" class="form-control" placeholder="{{ uc.name }}"> + <button class="btn btn-default" style="display: inline;" id="change_collection_name">Change Collection Name</button> + </h1> + <h3>This collection has {{ '{}'.format(numify(trait_obs|count, "record", "records")) }}</h3> + + <!--<hr style="height: 1px; background-color: #A9A9A9;">--> - <div class="container"> <div> <form id="collection_form" action="/delete" method="post"> - {% if uc %} <input type="hidden" name="uc_id" id="uc_id" value="{{ uc.id }}" /> - {% endif %} <input type="hidden" name="collection_name" id="collection_name" value="{{ collection_name }}" /> + <input type="hidden" name="tool_used" value="" /> + <input type="hidden" name="form_url" value="" /> <input type="hidden" name="trait_list" id="trait_list" value= " {% for this_trait in trait_obs %} - {{ this_trait.name }}:{{ this_trait.dataset.name }}, + {{ this_trait.name }}:{{ this_trait.dataset.name }}:{{ data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset.name)) }}, {% endfor %}" > + <button id="corr_matrix" class="btn btn-primary submit_special" data-url="/corr_matrix" title="Correlation Matrix" > + Correlations + </button> - <button id="corr_matrix" class="btn btn-primary submit_special" data-url="/corr_matrix" title="Correlation Matrix" > - Correlation Matrix - </button> - - - <button id="network_graph" class="btn btn-primary submit_special" data-url="/network_graph" title="Network Graph" > - Network Graph - </button> + <button id="network_graph" class="btn btn-primary submit_special" data-url="/network_graph" title="Network Graph" > + Networks + </button> + <button id="send_to_webgestalt" class="btn btn-primary submit_special" data-url="/webgestalt_page" title="WebGestalt" > + WebGestalt + </button> - <button id="wgcna_setup" class="btn btn-primary submit_special" data-url="/wgcna_setup" title="WGCNA Analysis" > - WGCNA Analysis - </button> + <button id="send_to_geneweaver" class="btn btn-primary submit_special" data-url="/geneweaver_page" title="GeneWeaver" > + GeneWeaver + </button> + <button id="send_to_bnw" class="btn btn-primary submit_special" data-url="/bnw_page" title="Bayesian Network" > + BNW + </button> - <button id="ctl_setup" class="btn btn-primary submit_special" data-url="/ctl_setup" title="CTL Analysis" > - CTL Analysis - </button> + <button id="wgcna_setup" class="btn btn-primary submit_special" data-url="/wgcna_setup" title="WGCNA Analysis" > + WGCNA + </button> + <button id="ctl_setup" class="btn btn-primary submit_special" data-url="/ctl_setup" title="CTL Analysis" > + CTL Maps + </button> - <button id="heatmap" class="btn btn-primary submit_special" data-url="/heatmap" title="Heatmap" > - Heatmap - </button> + <button id="heatmap" class="btn btn-primary submit_special" data-url="/heatmap" title="Heatmap" > + MultiMap + </button> - <button id="comp_bar_chart" class="btn btn-primary submit_special" data-url="/comparison_bar_chart" title="Comparison Bar Chart" > - Comparison Bar Chart - </button> - - - <button id="delete" class="btn btn-danger submit_special" style="margin-left: 15px;" data-url="/collections/delete" title="Delete this collection" > - Delete Collection - </button> + <button id="comp_bar_chart" class="btn btn-primary submit_special" data-url="/comparison_bar_chart" title="Comparison Bar Chart" > + Comparison Bar Chart + </button> </form> </div> <div> <br /> - <button class="btn btn-default" id="select_all"><span class="glyphicon glyphicon-ok"></span> Select All</button> - <button class="btn btn-default" id="deselect_all"><span class="glyphicon glyphicon-remove"></span> Deselect All</button> - <button class="btn btn-default" id="invert"><span class="glyphicon glyphicon-resize-vertical"></span> Invert</button> - <button class="btn btn-danger" id="remove" disabled="disabled"><i class="icon-minus-sign"></i> Delete From Collection</button> - <button class="btn" id="add" disabled="disabled"><i class="icon-plus-sign"></i> Copy Record to Other Collection</button> - <br /> - <br /> <form id="export_form" method="POST" action="/export_traits_csv"> - <input type="hidden" name="database_name" id="database_name" value="None"> - <input type="hidden" name="export_data" id="export_data" value=""> - <button class="btn btn-default" id="export_traits">Download CSV</button> + <button class="btn btn-default" id="select_all" type="button"><span class="glyphicon glyphicon-ok"></span> Select All</button> + <button class="btn" id="add" disabled="disabled" type="button"><i class="icon-plus-sign"></i> Copy</button> + <input type="hidden" name="database_name" id="database_name" value="None"> + <input type="hidden" name="export_data" id="export_data" value=""> + <input type="hidden" name="file_name" id="file_name" value="collection_table"> + <button class="btn btn-default" id="export_traits">Download CSV</button> + <input type="text" id="searchbox" class="form-control" style="width: 200px; display: inline; padding-bottom: 9px;" placeholder="Search Table For ..."> + <input type="text" id="select_top" class="form-control" style="width: 200px; display: inline; padding-bottom: 9px;" placeholder="Select Top ..."> + <button class="btn btn-default" id="deselect_all" type="button"><span class="glyphicon glyphicon-remove"></span> Deselect</button> + <button class="btn btn-danger" id="remove" disabled="disabled" type="button"><i class="icon-minus-sign"></i> Delete Rows</button> + <button id="delete" class="btn btn-danger submit_special" data-url="/collections/delete" title="Delete this collection" > Delete Collection</button> </form> - <br /> + <div style="margin-top: 10px; margin-bottom: 5px;"> + <b>Show/Hide Columns:</b> + </div> <div> - <table class="display dataTable nowrap" id='trait_table' style="float: left;"> + <table class="table-hover table-striped cell-border" id='trait_table' style="float: left;"> <thead> <tr> <th></th> <th data-export="Index">Index</th> <th data-export="Dataset">Dataset</th> <th data-export="Record">Record</th> + <th data-export="Symbol">Symbol</th> <th data-export="Description">Description</th> <th data-export="Location">Location</th> <th data-export="Mean">Mean</th> - <th data-export="Max LRS">Max LRS <a href="http://genenetwork.org//glossary.html#L" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> + <th data-export="Max LRS">Max LRS <a href="http://genenetwork.org//glossary.html#L" target="_blank"><sup>?</sup></a></th> <th data-export="Max LRS Location">Max LRS Location</th> - <th data-export="Additive Effect">Additive Effect <a href="http://genenetwork.org//glossary.html#A" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> + <th data-export="Add. Eff.">Additive Effect <a href="http://genenetwork.org//glossary.html#A" target="_blank"><sup>?</sup></a></th> </tr> </thead> <tbody> {% for this_trait in trait_obs %} <TR id="trait:{{ this_trait.name }}:{{ this_trait.dataset.name }}"> - <TD> + <TD align="center" style="padding: 0px;"> <INPUT TYPE="checkbox" NAME="searchResult" class="checkbox trait_checkbox" VALUE="{{ data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset.name)) }}"> </TD> <TD data-export="{{ loop.index }}" align="right">{{ loop.index }}</TD> - <TD data-export="{{ this_trait.dataset.name }}">{{ this_trait.dataset.name }}</TD> + <TD title="{{ this_trait.dataset.fullname }}" data-export="{{ this_trait.dataset.fullname }}">{{ this_trait.dataset.fullname }}</TD> <TD data-export="{{ this_trait.name }}"> <a href="{{ url_for('show_trait_page', trait_id = this_trait.name, dataset = this_trait.dataset.name )}}"> - {{ this_trait.name }} + {{ this_trait.display_name }} </a> </TD> + {% if this_trait.symbol %} + <TD data-export="{{ this_trait.symbol }}">{{ this_trait.symbol }}</TD> + {% elif this_trait.abbreviation %} + <TD data-export="{{ this_trait.abbreviation }}">{{ this_trait.abbreviation }}</TD> + {% else %} + <TD data-export="N/A">N/A</TD> + {% endif %} + {% if this_trait.dataset.type == "Geno" %} + <TD title="Marker: {{ this_trait.name }}" data-export="Marker: {{ this_trait.name }}">Marker: {{ this_trait.name }}</TD> + {% elif this_trait.description_display != "" %} <TD title="{{ this_trait.description_display }}" data-export="{{ this_trait.description_display }}">{{ this_trait.description_display }}</TD> + {% else %} + <TD title="N/A" data-export="N/A">N/A</TD> + {% endif %} <TD data-export="{{ this_trait.location_repr }}">{{ this_trait.location_repr }}</TD> <TD data-export="{{ this_trait.mean }}" align="right">{{ '%0.3f' % this_trait.mean|float }}</TD> + {% if this_trait.LRS_score_repr|float > 0 %} <TD data-export="{{ this_trait.LRS_score_repr }}" align="right">{{ '%0.3f' % this_trait.LRS_score_repr|float }}</TD> + {% else %} + <TD data-export="{{ this_trait.LRS_score_repr }}" align="right">N/A</TD> + {% endif %} <TD data-export="{{ this_trait.LRS_location_repr }}">{{ this_trait.LRS_location_repr }}</TD> + {% if this_trait.additive|float > 0 %} <TD data-export="{{ this_trait.additive }}" align="right">{{ '%0.3f' % this_trait.additive|float }}</TD> - + {% else %} + <TD data-export="{{ this_trait.additive }}" align="right">N/A</TD> + {% endif %} </TR> {% endfor %} </tbody> @@ -137,9 +163,10 @@ {% endblock %} {% block js %} + <script language="javascript" type="text/javascript" src="/static/new/js_external/jszip.min.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/js_external/md5.min.js"></script> <script type="text/javascript" src="/static/new/javascript/search_results.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.dataTables.min.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/js_external/jszip.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.naturalSort.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colResize.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colReorder.js"></script> @@ -158,24 +185,18 @@ console.time("Creating table"); $('#trait_table').dataTable( { - "createdRow": function ( row, data, index ) { - $('td', row).eq(0).attr('style', 'padding-left: 8px; padding-right: 0px; padding-top: 4px; align: center;'); - if ($('td', row).eq(4).text().length > 50) { - $('td', row).eq(4).text($('td', row).eq(4).text().substring(0, 50)); - $('td', row).eq(4).text($('td', row).eq(4).text() + '...') - } - }, "columns": [ - { "type": "natural", "width": "2%" }, - { "type": "natural", "width": "5%" }, - { "type": "natural", "width": "12%" }, - { "type": "natural", "width": "12%" }, + { "type": "natural", "width": 10 }, + { "type": "natural", "width": 50 }, + { "type": "natural" }, + { "type": "natural", "width": 120 }, + { "type": "natural", "width": 120 }, { "type": "natural" }, - { "type": "natural", "width": "12%" }, - { "type": "natural", "width": "5%" }, - { "type": "natural", "width": "5%" }, - { "type": "natural", "width": "12%" }, - { "type": "natural", "width": "8%" } + { "type": "natural", "width": 130 }, + { "type": "natural", "width": 35 }, + { "type": "natural", "width": 35 }, + { "type": "natural", "width": 130 }, + { "type": "natural" } ], "columnDefs": [ { "targets": 0, @@ -194,8 +215,6 @@ "autoWidth": false, "bDeferRender": true, "bSortClasses": false, - "scrollY": "600px", - "scrollCollapse": true, "paging": false, "orderClasses": true } ); @@ -211,56 +230,27 @@ return submit_special(url) }); - $("#corr_matrix").on("click", function() { - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); - $("#trait_list").val(traits) - url = $(this).data("url") - return submit_special(url) - }); - $("#network_graph").on("click", function() { - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); - $("#trait_list").val(traits) - url = $(this).data("url") - return submit_special(url) - }); - $("#wgcna_setup").on("click", function() { - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); - $("#trait_list").val(traits) - url = $(this).data("url") - return submit_special(url) - }); - $("#ctl_setup").on("click", function() { - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); - $("#trait_list").val(traits) - url = $(this).data("url") - return submit_special(url) - }); - $("#heatmap").on("click", function() { - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); - $("#trait_list").val(traits) - url = $(this).data("url") - return submit_special(url) - }); - $("#comp_bar_chart").on("click", function() { - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); - $("#trait_list").val(traits) - url = $(this).data("url") - return submit_special(url) + $("#change_collection_name").on("click", function() { + if ($('input[name=new_collection_name]').css('display') == 'none') { + $('input[name=new_collection_name]').css('display', 'inline'); + $('#collection_name').css('display', 'none'); + } else { + new_name = $('input[name=new_collection_name]').val() + $.ajax({ + type: "POST", + url: "/collections/change_name", + data: { + collection_id: $('input[name=uc_id]').val(), + new_name: new_name + } + }); + $('input[name=new_collection_name]').css('display', 'none'); + $('input[name=collection_name]').val(new_name); + $('#collection_name').text(new_name) + $('#collection_name').css('display', 'inline'); + } }); }); - </script> diff --git a/wqflask/wqflask/templates/comparison_bar_chart.html b/wqflask/wqflask/templates/comparison_bar_chart.html index 033ff0a4..dc74ddb2 100644 --- a/wqflask/wqflask/templates/comparison_bar_chart.html +++ b/wqflask/wqflask/templates/comparison_bar_chart.html @@ -5,10 +5,9 @@ <link rel="stylesheet" type="text/css" href="/static/new/css/panelutil.css" /> {% endblock %} {% block content %} <!-- Start of body --> - - {{ header("Comparison Bar Chart") }} - <div class="container"> + <h1>Comparison Bar Chart</h1> + <hr style="height: 1px; background-color: #A9A9A9;"> <div> <h3> The following is a grouped bar chart with the sample values for each selected trait. diff --git a/wqflask/wqflask/templates/corr_scatterplot.html b/wqflask/wqflask/templates/corr_scatterplot.html index 6451fda5..ffc8244d 100644 --- a/wqflask/wqflask/templates/corr_scatterplot.html +++ b/wqflask/wqflask/templates/corr_scatterplot.html @@ -16,70 +16,107 @@ <input type="hidden" name="ranked_cofactor1_vals"></input> <input type="hidden" name="cofactor2_vals"></input> <input type="hidden" name="ranked_cofactor2_vals"></input> + <input type="hidden" name="cofactor3_vals"></input> + <input type="hidden" name="ranked_cofactor3_vals"></input> <input type="hidden" name="selecting_which_cofactor"></input> - <h2>Correlation Scatterplot</h2> + <h1>Correlation Scatterplot</h1> + <hr style="height: 1px; background-color: #A9A9A9;"> - <table class="table"> + <table> <tr> - <td style="vertical-align: middle;">Width <input class="chartupdatewh" id="width" type="text" value="800" style="width: 44px; height: 22px;"> px</td> + <td style="vertical-align: middle;">Width <input class="chartupdatewh" id="width" type="text" value="800" style="width: 44px; height: 22px;"> px </td> <td style="vertical-align: middle;">Height <input class="chartupdatewh" id="height" type="text" value="700" style="width: 44px; height: 22px;"> px</td> </tr> </table> - + <hr style="height: 1px; background-color: #A9A9A9;"> + {% if collections_exist == "True" %} <div> - <button type="button" class="btn btn-default" id="select_cofactor1"> - Select Cofactor 1 - </button> -<!-- - <select class="cofactor1_type"> - <option value="color">Color</option> - <option value="size">Size</option> - </select> ---> - <div id="cofactor2_button" style="margin-left: 10px; display: none;"> - <button type="button" class="btn btn-default" id="select_cofactor2"> - Add a Second Cofactor? - </button> -<!-- - <select class="cofactor2_type"> - <option value="color">Color</option> - <option value="size" selected="selected">Size</option> - </select> ---> + <div style="margin-bottom: 10px;"> + You can select up to three traits from a saved trait collection to use as cofactors in the scatterplots, with each trait corresponding to point color, size, or symbol. + For symbol, traits must have no more than 4 distinct values. + </div> + <div style="display: inline-block;"> + <div id="cofactor1_button" style="display: inline-block;"> + <button type="button" class="btn btn-default" id="select_cofactor1"> + Select Cofactor 1 + </button> + <select id="cofactor1_type"> + <option value="color" selected>Color</option> + <option value="size">Size</option> + <option value="symbol">Symbol</option> + </select> + </div> + <div id="cofactor2_button" style="margin-left: 10px; display: none;"> + <button type="button" class="btn btn-default" id="select_cofactor2"> + Add a Second Cofactor? + </button> + <select id="cofactor2_type"> + <option value="color">Color</option> + <option value="size" selected>Size</option> + <option value="symbol">Symbol</option> + </select> + </div> + <div id="cofactor3_button" style="margin-left: 10px; display: none;"> + <button type="button" class="btn btn-default" id="select_cofactor3"> + Add a Third Cofactor? + </button> + <select id="cofactor3_type"> + <option value="color">Color</option> + <option value="size">Size</option> + <option value="symbol" selected>Symbol</option> + </select> + </div> + <div id="remove_cofactors_button" style="margin-left: 20px; display: inline-block;"> + <button type="button" class="btn btn-danger" id="remove_cofactors"> + Remove Cofactors + </button> + </div> </div> </div> <div id="collections_holder_wrapper" style="display:none;"> <div id="collections_holder"></div> </div> - <br/> + + <div id="cofactor_color_selector" style="margin-bottom: 10px; display:none;"> + <hr> + <b>Cofactor Color Range:</b> + <input class="chartupdatedata" name="color2" type="hidden" id="cocolorfrom" value="#D9D9D9"> + <button class="chartupdatedata jscolor {valueElement: 'cocolorfrom'}">Low</button> + <input class="chartupdatedata" name="color1" type="hidden" id="cocolorto" value="#000000"> + <button class="chartupdatedata jscolor {valueElement: 'cocolorto'}">High</button> + <hr> + </div> <div id="cofactor1_info_container" style="margin-left: 0px; display: none;"> <div> <b>Cofactor 1</b>: <a id="cofactor1_trait_link" href="#"></a> </div> <div id="cofactor1_description"></div> - <br> - <div style="margin-bottom: 10px;"> - <b>Cofactor 1 Color Range:</b> - <input class="chartupdatedata" id="cocolorfrom" type="color" value="#D9D9D9"> - <input class="chartupdatedata" id="cocolorto" type="color" value="#000000"> - </div> + <hr> </div> <div id="cofactor2_info_container" style="margin-left: 0px; display: none;"> - <hr> <div> <b>Cofactor 2</b>: <a id="cofactor2_trait_link" href="#"></a> </div> <div id="cofactor2_description"></div> - <br> - <div style="margin-bottom: 20px;"> - <b>Cofactor 2 corresponds to point radius</b> + <hr> + </div> + + <div id="cofactor3_info_container" style="margin-left: 0px; display: none;"> + <div> + <b>Cofactor 3</b>: <a id="cofactor3_trait_link" href="#"></a> </div> - <br> + <div id="cofactor3_description"></div> + <hr> </div> + {% else %} + <div style="margin-bottom: 10px;">No collections currently exist. Please create a collection first if you wish to include cofactors in the scatterplots.</div> + <hr> + {% endif %} + <ul class="nav nav-tabs"> <li class="active"> <a href="#tp1" data-toggle="tab">Pearson</a> @@ -89,14 +126,14 @@ </li> </ul> - <div class="tab-content"> + <div class="tab-content" style="min-width: 800px;"> <div class="tab-pane active" id="tp1"> <br> <div id="scatterplot2"></div> <br> - <div class="row" style="width: 70%;"> - <div class="col-xs-3"> + <div class="row" style="min-width: 700px; overflow: hidden;"> + <div style="float: left;"> <table class="table table-hover table-striped table-bordered" style="width: 80%; margin-left: 60px; text-align: right;"> <thead> <tr><th style="text-align: right;">Statistic</th><th style="text-align: right;">Value</th></tr> @@ -108,7 +145,7 @@ </tr> <tr> <td>Slope</td> - <td>{{'%0.3f' % jsdata.slope}}</td> + <td>{{ jsdata.slope_string }}</td> </tr> <tr> <td>Intercept</td> @@ -126,13 +163,13 @@ <td style="text-align: left;" colspan="2"> Regression Line <br> - y = {{'%0.3f' % jsdata.slope}} * x + {{'%0.3f' % jsdata.intercept}} + y = {{ jsdata.slope_string }} * x {% if jsdata.intercept < 0 %}- {{'%0.3f' % (jsdata.intercept * -1)}}{% else %}+ {{'%0.3f' % jsdata.intercept}}{% endif %} </td> </tr> </tbody> </table> </div> - <div class="col-xs-9"> + <div style="margin-left: 50px; min-width: 300px; float: left;"> {% if trait_1.dataset.type == "ProbeSet" %} <div> X axis: @@ -155,6 +192,16 @@ <a href="{{trait_1.pubmed_link}}">PubMed: {{trait_1.pubmed_text}}</a> {{trait_1.description_display}} </div> + {% elif trait_1.dataset.type == "Geno" %} + <div> + X axis: + <a href="{{url_for('show_trait_page', trait_id = trait_1.name, dataset = trait_1.dataset.name)}}"> + {{trait_1.dataset.group.species + " " + trait_1.dataset.group.name + " " + trait_1.dataset.name + ": " + trait_1.name|string}} + </a> + </div> + <div> + Location: {{trait_1.location_repr}} Mb + </div> {% endif %} <br/> @@ -181,6 +228,16 @@ <a href="{{trait_2.pubmed_link}}">PubMed: {{trait_2.pubmed_text}}</a> {{trait_2.description_display}} </div> + {% elif trait_2.dataset.type == "Geno" %} + <div> + Y axis: + <a href="{{url_for('show_trait_page', trait_id = trait_2.name, dataset = trait_2.dataset.name)}}"> + {{trait_2.dataset.group.species + " " + trait_2.dataset.group.name + " " + trait_2.dataset.name + ": " + trait_2.name|string}} + </a> + </div> + <div> + Location: {{trait_2.location_repr}} Mb + </div> {% endif %} </div> </div> @@ -190,8 +247,8 @@ <br> <div id="srscatterplot2"></div> <br> - <div class="row" style="width: 70%;"> - <div class="col-xs-3"> + <div class="row" style="min-width: 700px; overflow: hidden;"> + <div style="float: left;"> <table class="table table-hover table-striped table-bordered" style="width: 80%; margin-left: 60px; text-align: right;"> <thead> <tr><th style="text-align: right;">Statistic</th><th style="text-align: right;">Value</th></tr> @@ -203,7 +260,7 @@ </tr> <tr> <td>Slope</td> - <td>{{'%0.3f' % jsdata.srslope}}</td> + <td>{{ jsdata.srslope_string }}</td> </tr> <tr> <td>Intercept</td> @@ -217,10 +274,17 @@ <td>P value</td> <td>{% if jsdata.srp_value < 0.001 %}{{'%0.3e' % jsdata.srp_value}}{% else %}{{'%0.3f' % jsdata.srp_value}}{% endif %}</td> </tr> + <tr> + <td style="text-align: left;" colspan="2"> + Regression Line + <br> + y = {{ jsdata.srslope_string }} * x {% if jsdata.srintercept < 0 %}- {{'%0.3f' % (jsdata.srintercept * -1)}}{% else %}+ {{'%0.3f' % jsdata.srintercept}}{% endif %} + </td> + </tr> </tbody> </table> </div> - <div class="col-xs-9"> + <div style="margin-left: 50px; min-width: 300px; float: left;"> {% if trait_1.dataset.type == "ProbeSet" %} <div> X axis: @@ -283,12 +347,13 @@ js_data = {{ js_data | safe }}; </script> <script language="javascript" type="text/javascript" src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script> - <script language="javascript" type="text/javascript" src="//cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.5/nv.d3.min.js"></script> <script language="javascript" type="text/javascript" src="/static/packages/underscore/underscore-min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/js_external/d3-tip.min.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/javascript/colorbrewer.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/js_external/jscolor.js"></script> <script language="javascript" type="text/javascript" src="/static/new/javascript/panelutil.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/javascript/get_traits_from_collection.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.dataTables.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.naturalSort.js"></script> + <!--<script language="javascript" type="text/javascript" src="/static/new/javascript/get_traits_from_collection.js"></script>--> <script type="text/javascript" src="/static/new/js_external/plotly-latest.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/javascript/draw_corr_scatterplot.js"></script> {% endblock %} diff --git a/wqflask/wqflask/templates/correlation_matrix.html b/wqflask/wqflask/templates/correlation_matrix.html index e4fd3136..9af52021 100644 --- a/wqflask/wqflask/templates/correlation_matrix.html +++ b/wqflask/wqflask/templates/correlation_matrix.html @@ -2,53 +2,56 @@ {% block css %} <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" /> <link rel="stylesheet" type="text/css" href="/static/new/css/corr_matrix.css" /> + <link rel="stylesheet" type="text/css" href="/static/new/css/show_trait.css" /> <link rel="stylesheet" type="text/css" href="/static/new/css/panelutil.css" /> <link rel="stylesheet" type="text/css" href="/static/new/css/d3-tip.min.css" /> {% endblock %} {% block content %} - - {{ header("Correlation Matrix") }} -<div class="container"> +<div class="container" width="100%"> +<h1>Correlation Matrix</h1> +<div style="width: 100%; max-width: 850px;">Lower left cells list Pearson product-moment correlations; upper right cells list Spearman rank order correlations. Each cell also contains the n of cases. Values ranging from 0.4 to 1.0 range from orange to white, while values ranging from -0.4 to -1.0 range from dark blue to white. Select any cell to generate a scatter plot. Select trait labels for more information.</div> +<hr style="height: 1px; background-color: #A9A9A9;"> {% if lowest_overlap < 8 %} -<div style="margin: 20px;" >Caution: This matrix of correlations contains some cells with small sample sizes of fewer than 8.</div> +<div style="margin-bottom: 10px;"><i><font style="color: red;">Caution</font>: This matrix of correlations contains some cells with small sample sizes of fewer than 8.</i></div> {% endif %} - -<table class="matrix" border="1" cellpadding="5" cellspacing="1" width="80%"> +<table class="matrix" border="1" cellpadding="5" cellspacing="1" width="100%"> <tbody> <tr> - <td style="background-color: royalblue;" ></td> - <td align="center" colspan="{{traits|length + 1 }}" style="font-weight: Bold; border: 1px solid #999999; padding: 3px; color: #fff; background-color: royalblue;">Spearman Rank Correlation (rho)</td> + <td style="background-color: #369;" ></td> + <td align="center" colspan="{{traits|length + 2 }}" style="font-weight: Bold; border: 1px solid #000000; padding: 3px; color: #fff; background-color: #369;">Spearman Rank Correlation (rho)</td> </tr> <tr> - <td align="center" rowspan="{{traits|length + 1 }}" width="10" style="font-weight: Bold; border: 1px solid #999999; padding: 3px; color: #fff; background-color: royalblue;">P e a r s o n r</td> - <td width="300"></td> + <td align="center" rowspan="{{traits|length + 2 }}" width="10" style="font-weight: Bold; border: 1px solid #000000; padding: 3px; color: #fff; background-color: #369;">P e a r s o n r</td> + <td></td> + <td width="300" align="center" style="white-space: nowrap"><div style="display: inline-block; margin: 4px;"><button class="btn btn-default" id="short_labels" style="display: inline-block"><span style="display: none;" class="short_check glyphicon glyphicon-ok"></span> Short Labels</button> <button class="btn btn-default" id="long_labels" style="display: inline-block;"><span style="display: none;" class="long_check glyphicon glyphicon-ok"></span> Long Labels</button></div></td> {% for trait in traits %} - <td align="center"> - <a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}" style="font-weight: Bold;">Trait{{ loop.index }}</a> + <td align="center" style="padding: 5px;"> + <a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}"><font style="font-size: 14px;"><b>{{ loop.index }}</b></font></a> </td> {% endfor %} </tr> {% for trait in traits %} <tr> - <td> - <a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}" style="font-weight: Bold;">Trait {{ loop.index }}: {{ trait.dataset.name }}::{{ trait.name }}</a> - <div class="shortName" style="display:none">{% if trait.dataset.type == "ProbeSet" %}Symbol: {{ trait.symbol }}{% elif trait.dataset.type == "Publish" %}Phenotype: {{ trait.post_publication_abbreviation }}{% else %}Genotype{% endif %} </div> + <td align="center"><input type="checkbox" class="checkbox" style="margin-left: 3px; margin-right: 1px;"></td> + <td align="right" style="padding-right: 4px;" > + <a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}"><font style="font-size: 14px; font-style: Bold;"><b>Trait {{ loop.index }}: {{ trait.dataset.name }} {{ trait.name }}</b></font></a> + <div class="shortName" style="display:none">{% if trait.dataset.type == "ProbeSet" %}Gene Symbol: {{ trait.symbol }}{% elif trait.dataset.type == "Publish" %}Trait Symbol: {{ trait.post_publication_abbreviation }}{% elif trait.dataset.type == "Geno" %}Genotype{% endif %} </div> <div class="verboseName" style="display: none;"> {% if trait.dataset.type == "ProbeSet" %} <div>{{ trait.symbol }} on Chr {{ trait.chr }} @ {{ trait.mb }} Mb</div><div>{{ trait.description }}</div><div>{{ trait.probe_target_description }}</div> {% elif trait.dataset.type == "Publish" %} - <div>PubMed {{ trait.pubmed_id }}: RecordID/{{ trait.name }}</div><div>Phenotype: {{ trait.description_display }}</div> - {% else %} + <div>PMID: <a href="http://www.ncbi.nlm.nih.gov/pubmed/?term={{ trait.pubmed_id }}">{{ trait.pubmed_id }}</a>, Record ID {{ trait.name }}</div><div>Phenotype: {{ trait.description_display }}</div> + {% elif trait.dataset.type == "Geno" %} <div>Locus {{ trait.name }}</div><div>Chr {{ trait.chr }} @ {{ trait.mb }} Mb</div> {% endif %} </div> </td> {% for result in corr_results[loop.index-1] %} - {% if result[0].name == trait.name %} - <td nowrap="ON" align="center" bgcolor="#cccccc" style="line-height: 1.1;"><a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}"><font style="font-size: 12px; color: #000000;" ><em>n</em><br>{{ result[2] }}</font></a></td> + {% if result[0].name == trait.name and result[0].dataset == trait.dataset %} + <td nowrap="ON" align="center" bgcolor="#cccccc" style="padding: 3px; line-height: 1.1;"><a href="/show_trait?trait_id={{ trait.name }}&dataset={{ trait.dataset.name }}"><font style="font-size: 12px; color: #3071a9; font-weight: bold;" ><em>n</em><br>{{ result[2] }}</font></a></td> {% else %} - <td nowrap="ON" align="middle" class="corr_cell" style="line-height: 1.1;"><a href="/corr_scatter_plot?dataset_1={{ trait.dataset.name }}&dataset_2={{ result[0].dataset.name }}&trait_1={{ trait.name }}&trait_2={{ result[0].name }}"><font style="font-size: 12px; color: #000000;" ><span class="corr_value">{{ '%0.3f' % result[1] }}</span><br>{{ result[2] }}</font></a></td> + <td nowrap="ON" align="middle" class="corr_cell" style="padding: 3px; line-height: 1.1;"><a href="/corr_scatter_plot?dataset_1={{ trait.dataset.name }}&dataset_2={{ result[0].dataset.name }}&trait_1={{ trait.name }}&trait_2={{ result[0].name }}"><font style="font-size: 12px; color: #3071a9; font-weight: bold;" ><span class="corr_value">{{ '%0.2f' % result[1] }}</span><br>{{ result[2] }}</font></a></td> {% endif %} {% endfor %} </tr> @@ -56,18 +59,40 @@ </tbody> </table> <br> -<button class="btn btn-default" id="short_labels">Short Labels</button> -<button class="btn btn-default" id="long_labels">Long Labels</button> {% if pca_works == "True" %} +<h2>PCA Traits</h2> +<div style="margin-bottom: 20px; overflow:hidden;"> +<table id="pca_table" class="table-hover table-striped cell-border" id='trait_table' style="float: left;"> + <thead> + <tr> + <th></th> + <th>Index</th> + <th>PCA Trait</th> + </tr> + </tr> + </thead> + <tbody> + {% for this_trait_id in pca_trait_ids %} + <tr> + <td align="center" style="padding: 0px;"><input type="checkbox" class="trait_checkbox" name="pca_trait" value="{{ data_hmac('{}:{}'.format(pca_trait_ids[loop.index - 1], "Temp")) }}"></td> + <td align="right">{{ loop.index }}</td> + <td><a href="{{ url_for('show_trait_page', trait_id = pca_trait_ids[loop.index - 1], dataset = "Temp") }}">{{ pca_trait_ids[loop.index - 1] }}</a></td> + </tr> + {% endfor %} + </tbody> +</table> <br> -<br> +<button class="btn btn-default" id="select_all"><span class="glyphicon glyphicon-ok"></span> Select All</button> +<button class="btn btn-default" id="deselect_all"><span class="glyphicon glyphicon-remove"></span> Deselect All</button> +<button class="btn btn-default" id="add" disabled><span class="glyphicon glyphicon-plus-sign"></span> Add</button> +</div> <h2>Factor Loadings Plot</h2> <div id="loadings_plot" style="margin-top: 20px; margin-bottom: 20px; width: 980px; border-style: solid; border-width: 1px;"></div> <h2>Factor Loadings Table</h2> -<table class="table table-hover table-striped" border="1" style="margin-top: 20px; margin-bottom: 20px;" width="30%"> +<table id="loadings_table" class="table-hover table-striped cell-border" id='trait_table' style="float: left;"> <thead> <tr> - <th></th> + <th>Trait</th> <th style="text-align: right;" >Factor 1</th> <th style="text-align: right;" >Factor 2</th> {% if trait_list|length > 2 %}<th style="text-align: right;">Factor 3</th>{% endif %} @@ -78,7 +103,7 @@ {% set row_counter = loop.index-1 %} <tr> <td> - <a href="{{ url_for('show_trait_page', trait_id = traits[loop.index-1].name, dataset = traits[loop.index-1].dataset.name) }}"> + <a title="{% if traits[loop.index-1].dataset.type == "ProbeSet" %}{{ traits[loop.index-1].symbol }}{% elif traits[loop.index-1].dataset.type == "Publish" %}{{ traits[loop.index-1].post_publication_abbreviation }}{% endif %}" href="{{ url_for('show_trait_page', trait_id = traits[loop.index-1].name, dataset = traits[loop.index-1].dataset.name) }}"> {{ traits[loop.index-1].name }} </a> </td> @@ -92,6 +117,7 @@ </table> </div> {% endif %} +<div id="myModal"></div> {% endblock %} {% block js %} @@ -103,12 +129,45 @@ <script type="text/javascript" src="http://d3js.org/d3.v3.min.js"></script> <script type="text/javascript" src="/static/new/js_external/d3-tip.min.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.dataTables.min.js"></script> <script language="javascript" type="text/javascript" src="/static/packages/underscore/underscore-min.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/js_external/md5.min.js"></script> <script type="text/javascript" src="/static/new/javascript/panelutil.js"></script> <script language="javascript" type="text/javascript" src="/static/new/js_external/chroma.js"></script> <script language="javascript" type="text/javascript" src="/static/new/javascript/loadings_plot.js"></script> <script type="text/javascript" src="/static/new/javascript/create_corr_matrix.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.dataTables.min.js"></script> + <script type="text/javascript" src="/static/new/javascript/search_results.js"></script> + + <script> + $('#pca_table').dataTable( { + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], + "order": [[1, "asc" ]], + "sDom": "t", + "iDisplayLength": -1, + "autoWidth": true, + "bDeferRender": true, + "bSortClasses": false, + "paging": false, + "orderClasses": true + } ); + + $('#loadings_table').dataTable( { + "columnDefs": [ { + "targets": 0, + "orderable": false + } ], + "order": [[1, "asc" ]], + "sDom": "t", + "iDisplayLength": -1, + "autoWidth": true, + "bDeferRender": true, + "bSortClasses": false, + "paging": false, + "orderClasses": true + } ); + </script> {% endblock %} diff --git a/wqflask/wqflask/templates/correlation_page.html b/wqflask/wqflask/templates/correlation_page.html index 05136ad8..03b03aa7 100644 --- a/wqflask/wqflask/templates/correlation_page.html +++ b/wqflask/wqflask/templates/correlation_page.html @@ -1,129 +1,124 @@ {% extends "base.html" %} {% block css %} - <link rel="stylesheet" type="text/css" href="/static/new/packages/tabulator/css/tabulator.css" /> <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" /> <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/extensions/buttons.bootstrap.css" /> + <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/extensions/buttons.dataTables.css"> {% endblock %} {% block content %} - - {{ header("Correlation", 'Trait: {} Dataset: {}'.format(this_trait.name, dataset.name)) }} - - <div class="container"> + <div class="container" style="min-width: 1250px;"> <div class="page-header"> <h1>Correlation Table</h1> + <h2>Trait: {{ this_trait.name }} + + <hr style="height: 1px; background-color: #A9A9A9;"> </div> - <p>Values of record {{ this_trait.name }} in the <a href="http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&GN_AccessionId={{ dataset.group.accession_id }}">{{ dataset.fullname }}</a> - dataset were compared to all records in the <a href="http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&GN_AccessionId={{ target_dataset.group.accession_id }}">{{ target_dataset.fullname }}</a> + <p>Values of record {{ this_trait.name }} in the <a href="http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&{% if dataset.accession_id != 'None' %}GN_AccessionId={{ dataset.accession_id }}{% else %}InfoPageName={{ dataset.name }}{% endif %}">{{ dataset.fullname }}</a> + dataset were compared to all records in the <a href="http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&{% if target_dataset.accession_id != 'None' %}GN_AccessionId={{ target_dataset.accession_id }}{% else %}InfoPageName={{ target_dataset.name }}{% endif %}">{{ target_dataset.fullname }}</a> dataset. The top {{ return_number }} correlations ranked by the {{ formatted_corr_type }} are displayed. You can resort this list by clicking the headers. Select the Record ID to open the trait data and analysis page. </p> <div> - <form id="correlation_form" action="/corr_matrix" method="post"> - {% if uc %} - <input type="hidden" name="uc_id" id="uc_id" value="{{ uc.id }}" /> - {% endif %} - <input type="hidden" name="trait_list" id="trait_list" value= "" > - - <button id="corr_matrix" class="btn btn-primary submit_special" data-url="/corr_matrix" title="Correlation Matrix" > - Correlation Matrix - </button> - - <button id="network_graph" class="btn btn-primary submit_special" data-url="/network_graph" title="Network Graph" > - Network Graph - </button> - - <button id="wgcna_setup" class="btn btn-primary submit_special" data-url="/wgcna_setup" title="WGCNA Analysis" > - WGCNA Analysis - </button> + <form id="correlation_form" target="_blank" action="/corr_matrix" method="post"> + <input type="hidden" name="tool_used" value="" /> + <input type="hidden" name="form_url" value="" /> + <input type="hidden" name="trait_list" id="trait_list" value= " + {% for this_trait in trait_list %} + {{ this_trait.name }}:{{ this_trait.dataset }}, + {% endfor %}" > + + <button id="corr_matrix" class="btn btn-primary submit_special" data-url="/corr_matrix" title="Correlation Matrix" > + Correlations + </button> + + <button id="network_graph" class="btn btn-primary submit_special" data-url="/network_graph" title="Network Graph" > + Networks + </button> + + <button id="send_to_webgestalt" class="btn btn-primary submit_special" data-url="/webgestalt_page" title="WebGestalt" > + WebGestalt + </button> + + <button id="send_to_geneweaver" class="btn btn-primary submit_special" data-url="/geneweaver_page" title="GeneWeaver" > + GeneWeaver + </button> + + <button id="send_to_bnw" class="btn btn-primary submit_special" data-url="/bnw_page" title="Bayesian Network" > + BNW + </button> + + <button id="wgcna_setup" class="btn btn-primary submit_special" data-url="/wgcna_setup" title="WGCNA Analysis" > + WGCNA + </button> + + <button id="ctl_setup" class="btn btn-primary submit_special" data-url="/ctl_setup" title="CTL Analysis" > + CTL Maps + </button> + + <button id="heatmap" class="btn btn-primary submit_special" data-url="/heatmap" title="Heatmap" > + MultiMap + </button> + + <button id="comp_bar_chart" class="btn btn-primary submit_special" data-url="/comparison_bar_chart" title="Comparison Bar Chart" > + Comparison Bar Chart + </button> - <button id="ctl_setup" class="btn btn-primary submit_special" data-url="/ctl_setup" title="CTL Analysis" > - CTL Analysis - </button> - - <button id="heatmap" class="btn btn-primary submit_special" data-url="/heatmap" title="Heatmap" > - Heatmap - </button> </form> </div> - <div> - <br /> - <button class="btn btn-default" id="select_all"><span class="glyphicon glyphicon-ok"></span> Select All</button> - <button class="btn btn-default" id="deselect_all"><span class="glyphicon glyphicon-remove"></span> Deselect All</button> - <button class="btn btn-default" id="invert"><span class="glyphicon glyphicon-resize-vertical"></span> Invert</button> - <button class="btn btn-default" id="add" disabled><span class="glyphicon glyphicon-plus-sign"></span> Add</button> - <button id="redraw" class="btn btn-default">Reset Columns</button> - <input type="text" id="searchbox" class="form-control" style="width: 200px; display: inline;" placeholder="Search This Table For ..."> - <input type="text" id="select_top" class="form-control" style="width: 200px; display: inline;" placeholder="Select Top ..."> - <br /> <br /> + <div> + <form id="export_form" method="POST" action="/export_traits_csv"> + <button class="btn btn-default" id="select_all" type="button"><span class="glyphicon glyphicon-ok"></span> Select All</button> + <button class="btn btn-default" id="add" type="button" disabled><span class="glyphicon glyphicon-plus-sign"></span> Add</button> + <input type="hidden" name="database_name" id="database_name" value="None"> + <input type="hidden" name="export_data" id="export_data" value=""> + <input type="hidden" name="file_name" id="file_name" value="{{ this_trait.name }}_{{ dataset.name }}_correlation"> + <button class="btn btn-default" id="export_traits">Download CSV</button> + <input type="text" id="searchbox" class="form-control" style="width: 200px; display: inline;" placeholder="Search Table For ..."> + <input type="text" id="select_top" class="form-control" style="width: 200px; display: inline;" placeholder="Select Top ..."> + <button class="btn btn-default" id="deselect_all" type="button"><span class="glyphicon glyphicon-remove"></span> Deselect</button> + <button id="redraw" class="btn btn-default" type="button">Reset Columns</button> + </form> + <br /> + <br /> + <button id="more_options" class="btn btn-primary">More Options...</button> + <br /> + <br /> + <div id="filter_options" style="display: none;"> + <span style="border: 1px dashed #999999; padding: 8px; background-color: #ddf; font-size: 12px;"> + <button id="select_traits" class="btn btn-primary" style="font-size: 12px; padding: 2px 3px;">Select Traits</button> with r > + <input type="text" name="r_greater_select" value="-1.0" size="6" maxlength="10"> + <select id="r_and_or" size="1"> + <option value="and" selected>AND</option> + <option value="or">OR</option> + </select> + r < + <input type="text" name="r_less_select" value="1.0" size="6" maxlength="10">, with mean > + <input type="text" name="mean_greater_select" value="0" size="6" maxlength="10"> + <select id="mean_and_or" size="1"> + <option value="and" selected>AND</option> + <option value="or">OR</option> + </select> + mean < + <input type="text" name="mean_less_select" value="100" size="6" maxlength="10"> + </span> + <br /> + <br /> + </div> + </div> + <div style="margin-bottom: 5px;"> + <b>Show/Hide Columns:</b> </div> - <div style="width: {% if target_dataset.type == "ProbeSet" %}1600px{% elif target_dataset.type == "Publish" %}1400px{% else %}800px{% endif %};"> <table id="trait_table" class="display dataTable nowrap" style="font-size: 12px; float: left;"> <thead> <tr> <th></th> - {% for header in target_dataset.header_fields %} - {% if header == 'Year' %} - <th>{{header}}</th> - {% elif header == 'Max LRS' %} - <th>Max LRS</th> - {% elif header == 'Max LRS Location' %} - <th>{{header}}</th> - {% elif header == 'Location' %} - <th>{{header}}</th> - {% elif header == 'Mean' %} - <th>{{header}}</th> - {% elif header == 'Additive Effect' %} - <th>Additive Effect</th> - {% elif header == 'Index' %} - <th>{{header}}</th> - {% elif header == 'N' %} - <th>{{header}}</th> - {% else %} - <th>{{header}}</th> - {% endif %} + {% for header in header_fields %} + <th {% if header != "" %}data-export="{{ header }}"{% endif %}>{{header}}</th> {% endfor %} - {% if target_dataset.type == "ProbeSet" %} - {% if corr_method == 'pearson' %} - <th>Sample r</th> - <th>N</th> - <th>Sample p(r)</th> - <th>Lit r</th> - <th>Tissue r</th> - <th>Tissue p(r)</th> - {% else %} - <th>Sample rho</th> - <th>N</th> - <th>Sample p(rho)</th> - <th>Lit r</th> - <th>Tissue rho</th> - <th>Tissue p(rho)</th> - {% endif %} - {% elif target_dataset.type == "Publish" %} - {% if corr_method == 'pearson' %} - <th>Sample r</th> - <th> N</th> - <th>Sample p(r)</th> - {% else %} - <th>Sample rho</th> - <th> N</th> - <th>Sample p(rho)</th> - {% endif %} - {% elif target_dataset.type == "Geno" %} - {% if corr_method == 'pearson' %} - <th>Sample r</th> - <th>N</th> - <th>Sample p(r)</th> - {% else %} - <th>Sample rho</th> - <th>N</th> - <th>Sample p(rho)</th> - {% endif %} - {% endif %} </tr> </thead> @@ -131,8 +126,8 @@ {% for trait in correlation_results %} <tr> <td><INPUT TYPE="checkbox" NAME="searchResult" class="checkbox trait_checkbox" style="padding-right: 0px;" VALUE="{{ data_hmac('{}:{}'.format(trait.name, trait.dataset.name)) }}"></td> - <td style="padding-left: 8px; padding-right: 0px; padding-top: 4px; align: center;">{{ loop.index }}</td> - <td> + <td data-export="{{ loop.index }}" style="padding-left: 8px; padding-right: 0px; padding-top: 4px; align: center;">{{ loop.index }}</td> + <td data-export="{{ trait.name }}"> <a href="{{ url_for('show_trait_page', trait_id = trait.name, dataset = trait.dataset.name @@ -141,47 +136,47 @@ </a> </td> {% if target_dataset.type == 'ProbeSet' %} - <td>{{ trait.symbol }}</td> - <td>{{ trait.description_display }}</TD> - <td style="white-space: nowrap;">{{ trait.location_repr }}</td> - <td align="right">{{ '%0.3f' % trait.mean|float }}</td> - <td align="right">{% if trait.LRS_score_repr != "N/A" %}{{ '%0.1f' % trait.LRS_score_repr|float }}{% else %}N/A{% endif %}</td> - <td align="right">{{ trait.LRS_location_repr }}</td> - <td align="right">{% if trait.additive != "" %}{{ '%0.3f' % trait.additive|float }}{% else %}N/A{% endif %}</td> - <td align="right"><a target="_blank" href="corr_scatter_plot?dataset_1={{dataset.name}}&dataset_2={{trait.dataset.name}}&trait_1={{this_trait.name}}&trait_2={{trait.name}}">{{'%0.3f'|format(trait.sample_r)}}</a></td> - <td align="right">{{ trait.num_overlap }}</td> - <td align="right">{{'%0.3e'|format(trait.sample_p)}}</td> + <td data-export="{{ trait.symbol }}">{{ trait.symbol }}</td> + <td data-export="{{ trait.description_display }}">{{ trait.description_display }}</TD> + <td data-export="{{ trait.location_repr }}" style="white-space: nowrap;">{{ trait.location_repr }}</td> + <td data-export="{{ '%0.3f' % trait.mean|float }}" align="right">{{ '%0.3f' % trait.mean|float }}</td> + <td data-export="{{ '%0.3f'|format(trait.sample_r) }} align="right"><a target="_blank" href="corr_scatter_plot?dataset_1={{dataset.name}}&dataset_2={{trait.dataset.name}}&trait_1={{this_trait.name}}&trait_2={{trait.name}}">{{ '%0.3f'|format(trait.sample_r) }}</a></td> + <td data-export="{{ trait.num_overlap }}" align="right">{{ trait.num_overlap }}</td> + <td data-export="{{ '%0.3e'|format(trait.sample_p) }}" align="right">{{ '%0.3e'|format(trait.sample_p) }}</td> {% if trait.lit_corr == "" or trait.lit_corr == 0.000 %} - <td align="right">--</td> + <td data-export="--" align="right">--</td> {% else %} - <td align="right">{{'%0.3f'|format(trait.lit_corr)}}</td> + <td data-export="{{ '%0.3f'|format(trait.lit_corr) }}" align="right">{{ '%0.3f'|format(trait.lit_corr) }}</td> {% endif %} {% if trait.tissue_corr == "" or trait.tissue_corr == 0.000 %} - <td align="right">--</td> - <td align="right">--</td> + <td data-export="--" align="right">--</td> + <td data-export="--" align="right">--</td> {% else %} - <td align="right">{{'%0.3f'|format(trait.tissue_corr)}}</td> - <td align="right">{{'%0.3e'|format(trait.tissue_pvalue)}}</td> + <td data-export="{{ '%0.3f'|format(trait.tissue_corr) }}" align="right">{{ '%0.3f'|format(trait.tissue_corr) }}</td> + <td data-export="{{ '%0.3e'|format(trait.tissue_pvalue) }}" align="right">{{ '%0.3e'|format(trait.tissue_pvalue) }}</td> {% endif %} + <td data-export={% if trait.LRS_score_repr != "N/A" %}"{{ '%0.1f' % trait.LRS_score_repr|float }}"{% else %}"N/A"{% endif %} align="right">{% if trait.LRS_score_repr != "N/A" %}{{ '%0.1f' % trait.LRS_score_repr|float }}{% else %}N/A{% endif %}</td> + <td data-export="{{ trait.LRS_location_repr }}" align="right">{{ trait.LRS_location_repr }}</td> + <td data-export={% if trait.additive != "" %}"{{ '%0.3f' % trait.additive|float }}"{% else %}"N/A"{% endif %} align="right">{% if trait.additive != "" %}{{ '%0.3f' % trait.additive|float }}{% else %}N/A{% endif %}</td> {% elif target_dataset.type == "Publish" %} - <td>{{ trait.description_display }}</td> - <td>{{ trait.authors }}</td> - <td> + <td data-export="{{ trait.description_display }}">{{ trait.description_display }}</td> + <td data-export="{{ trait.authors }}">{{ trait.authors }}</td> + <td data-export="{{ trait.pubmed_text }}"> <a href="{{ trait.pubmed_link }}"> {{ trait.pubmed_text }} </a> </td> - <td align="right">{{ trait.LRS_score_repr }}</td> - <td align="right">{{ trait.LRS_location_repr }}</td> - <td align="right">{% if trait.additive != "" %}{{ '%0.3f' % trait.additive|float }}{% else %}N/A{% endif %}</td> - <td align="right"><a target="_blank" href="corr_scatter_plot?dataset_1={{dataset.name}}&dataset_2={{trait.dataset.name}}&trait_1={{this_trait.name}}&trait_2={{trait.name}}">{{'%0.3f'|format(trait.sample_r)}}</a></td> - <td align="right">{{ trait.num_overlap }}</td> - <td align="right">{{'%0.3e'|format(trait.sample_p)}}</td> + <td data-export="{{ '%0.3f'|format(trait.sample_r) }}" align="right"><a target="_blank" href="corr_scatter_plot?dataset_1={{dataset.name}}&dataset_2={{trait.dataset.name}}&trait_1={{this_trait.name}}&trait_2={{trait.name}}">{{ '%0.3f'|format(trait.sample_r) }}</a></td> + <td data-export="{{ trait.num_overlap }}" align="right">{{ trait.num_overlap }}</td> + <td data-export="{{ '%0.3e'|format(trait.sample_p) }}" align="right">{{ '%0.3e'|format(trait.sample_p) }}</td> + <td data-export="{{ trait.LRS_score_repr }}" align="right">{{ trait.LRS_score_repr }}</td> + <td data-export="{{ trait.LRS_location_repr }}" align="right">{{ trait.LRS_location_repr }}</td> + <td data-export={% if trait.additive != "" %}"{{ '%0.3f' % trait.additive|float }}"{% else %}"N/A"{% endif %} align="right">{% if trait.additive != "" %}{{ '%0.3f' % trait.additive|float }}{% else %}N/A{% endif %}</td> {% elif target_dataset.type == "Geno" %} - <td align="right">{{ trait.location_repr }}</TD> - <td align="right"><a target="_blank" href="corr_scatter_plot?dataset_1={{dataset.name}}&dataset_2={{trait.dataset.name}}&trait_1={{this_trait.name}}&trait_2={{trait.name}}">{{'%0.3f'|format(trait.sample_r)}}</a></td> - <td align="right">{{ trait.num_overlap }}</td> - <td align="right">{{'%0.3e'|format(trait.sample_p)}}</td> + <td data-export="{{ trait.location_repr }}" align="right">{{ trait.location_repr }}</TD> + <td data-export="{{ '%0.3f'|format(trait.sample_r) }}" align="right"><a target="_blank" href="corr_scatter_plot?dataset_1={{dataset.name}}&dataset_2={{trait.dataset.name}}&trait_1={{this_trait.name}}&trait_2={{trait.name}}">{{ '%0.3f'|format(trait.sample_r) }}</a></td> + <td data-export="{{ trait.num_overlap }}" align="right">{{ trait.num_overlap }}</td> + <td data-export="{{ '%0.3e'|format(trait.sample_p) }}" align="right">{{ '%0.3e'|format(trait.sample_p) }}</td> {% endif %} </tr> {% endfor %} @@ -191,85 +186,97 @@ </div> {% endblock %} -{% block js %} +{% block js %} + <script type="text/javascript" src="/static/new/js_external/md5.min.js"></script> <script type="text/javascript" src="/static/new/javascript/search_results.js"></script> <script language="javascript" type="text/javascript" src="/static/new/js_external/jszip.min.js"></script> <script language="javascript" type="text/javascript" src="/static/packages/underscore/underscore-min.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.dataTables.js"></script> - <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/buttons/1.0.0/js/dataTables.buttons.min.js"></script> - <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/buttons/1.0.0/js/buttons.html5.min.js"></script> - <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/buttons/1.0.0/js/buttons.bootstrap.min.js"></script> + <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/1.10.13/js/jquery.dataTables.min.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.buttons.min.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/buttons.colVis.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.naturalSort.js"></script> <script type="text/javascript" charset="utf-8"> - function getValue(x) { - if (x.indexOf('input') >= 0) { - if ($(x).val() == 'x') { - return 0; - } - else { - return parseFloat($(x).val()); - } - } - else if (isNaN(x)) { - return x; - } - return parseFloat(x); - } + var table_json = {{ json_results | safe }} + </script> + <script type="text/javascript" charset="utf-8"> + + $.fn.dataTable.ext.order['dom-innertext'] = function (settings, col) { + return this.api().column(col, { order: 'index' }).nodes().map(function (td, i) { + return Math.abs(parseFloat($('a', td).text())); + }); + } - jQuery.fn.dataTableExt.oSort['numeric-html-asc'] = function(a,b) { - a = Math.abs(parseFloat($(a).text())); - b = Math.abs(parseFloat($(b).text())); + $.fn.dataTableExt.oSort['numeric-html-asc'] = function(a,b) { + a = Math.abs(parseFloat(a)); + b = Math.abs(parseFloat(b)); return ((a < b) ? -1 : ((a > b) ? 1 : 0)); }; - jQuery.fn.dataTableExt.oSort['numeric-html-desc'] = function(a,b) { - a = Math.abs(parseFloat($(a).text())); - b = Math.abs(parseFloat($(b).text())); + $.fn.dataTableExt.oSort['numeric-html-desc'] = function(a,b) { + a = Math.abs(parseFloat(a)); + b = Math.abs(parseFloat(b)); return ((a < b) ? 1 : ((a > b) ? -1 : 0)); }; - jQuery.fn.dataTableExt.oSort['cust-txt-asc'] = function (a, b) { - var x = getValue(a); - var y = getValue(b); - - if (x == 'N/A' || x == '') { - return 1; - } - else if (y == 'N/A' || y == '') { - return -1; - } - else { - return ((x < y) ? -1 : ((x > y) ? 1 : 0)); - } - }; - - jQuery.fn.dataTableExt.oSort['cust-txt-desc'] = function (a, b) { - var x = getValue(a); - var y = getValue(b); - return ((x < y) ? 1 : ((x > y) ? -1 : 0)); - }; - - - jQuery.fn.dataTableExt.oSort['scientific-asc'] = function ( a, b ) { + $.fn.dataTableExt.oSort['scientific-asc'] = function ( a, b ) { var x = parseFloat(a); var y = parseFloat(b); return ((x < y) ? -1 : ((x > y) ? 1 : 0)); }; - jQuery.fn.dataTableExt.oSort['scientific-desc'] = function ( a, b ) { + $.fn.dataTableExt.oSort['scientific-desc'] = function ( a, b ) { var x = parseFloat(a); var y = parseFloat(b); return ((x < y) ? 1 : ((x > y) ? -1 : 0)); }; + //$.fn.dataTableExt.afnFiltering.push( + + $.fn.dataTable.ext.search.push( function( settings, data, dataIndex ) { + var r_column = {{ filter_cols[0] }}; + var r_greater = parseFloat($('input[name=r_greater_select]').val()) + var r_less = parseFloat($('input[name=r_less_select]').val()); + var r_and_or = $('#r_and_or').val(); + + var mean_column = {{ filter_cols[1] }}; + var mean_greater = parseFloat($('input[name=mean_greater_select]').val()); + var mean_less = parseFloat($('input[name=mean_less_select]').val()); + var mean_and_or = $('#mean_and_or').val(); + + if (r_and_or == "and" && mean_and_or == "and"){ + if ( (data[r_column] >= r_greater && data[r_column] <= r_less) && {% if filter_cols[1] != 0 %}(data[mean_column] > mean_greater && data[mean_column] < mean_less){% else %} true{% endif %} ){ + return true + } + else { + return false + } + } else if (r_and_or == "and" && mean_and_or == "or"){ + if ( (data[r_column] >= r_greater && data[r_column] <= r_less) && {% if filter_cols[1] != 0 %}(data[mean_column] >= mean_greater || data[mean_column] <= mean_less){% else %} true{% endif %} ){ + return true + } else { + return false + } + } else if (r_and_or == "or" && mean_and_or == "and") { + if ( (data[r_column] >= r_greater || data[r_column] <= r_less) && {% if filter_cols[1] != 0 %}(data[mean_column] >= mean_greater && data[mean_column] <= mean_less){% else %} true{% endif %} ){ + return true + } else { + return false + } + } else { + if ( (data[r_column] >= r_greater || data[r_column] <= r_less) && {% if filter_cols[1] != 0 %}(data[mean_column] >= mean_greater || data[mean_column] <= mean_less){% else %} true{% endif %} ){ + return true + } else { + return false + } + } + return true + }); $(document).ready( function () { - - var table_json = {{ json_results | safe }} $('#trait_table tr').click(function(event) { if (event.target.type !== 'checkbox') { @@ -307,7 +314,7 @@ console.time("Creating table"); {% if target_dataset.type == "ProbeSet" %} - $('#trait_table').dataTable( { + table_conf = { "drawCallback": function( settings ) { $('#trait_table tr').click(function(event) { if (event.target.type !== 'checkbox') { @@ -316,15 +323,17 @@ }); $('.trait_checkbox:checkbox').on("change", change_buttons); }, - "buttons": [ + buttons: [ { - extend: 'csvHtml5', - text: 'Download CSV', - title: 'correlation_results', - fieldBoundary: '"', - exportOptions: { - columns: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] - } + extend: 'columnsToggle', + columns: function( idx, data, node ) { + if (idx != 0) { + return true; + } else { + return false; + } + }, + postfixButtons: [ 'colvisRestore' ] } ], "columnDefs": [ { @@ -339,15 +348,15 @@ { "type": "natural", "width": "15%" }, { "type": "natural" }, { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, + { "orderDataType": "dom-innertext", 'orderSequence': [ "desc", "asc"] }, { "type": "natural" }, { "type": "scientific" }, + { "type": "numeric-html", 'orderSequence': [ "desc", "asc"] }, + { "type": "numeric-html", 'orderSequence': [ "desc", "asc"] }, + { "type": "scientific" }, { "type": "natural" }, { "type": "natural" }, - { "type": "scientific" } + { "type": "natural" } ], "createdRow": function ( row, data, index ) { $('td', row).eq(4).attr('title', $('td', row).eq(4).text()); @@ -356,33 +365,30 @@ $('td', row).eq(4).text($('td', row).eq(4).text() + '...') } }, - "order": [[12, "asc" ]], - "sDom": "BRZtir", + "order": [[9, "asc" ]], + "sDom": "Btir", "iDisplayLength": -1, "autoWidth": false, "deferRender": true, "bSortClasses": false, - "scrollY": "800px", - "scrollCollapse": false, - "scroller": true, "paging": false, "orderClasses": true - } ); - - var table = $('#trait_table').DataTable(); + } {% elif target_dataset.type == "Publish" %} - $('#trait_table').dataTable( { + table_conf = { "paging": false, - "buttons": [ + buttons: [ { - extend: 'csvHtml5', - text: 'Download CSV', - title: 'correlation_results', - fieldBoundary: '"', - exportOptions: { - columns: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] - } + extend: 'columnsToggle', + columns: function( idx, data, node ) { + if (idx != 0) { + return true; + } else { + return false; + } + }, + postfixButtons: [ 'colvisRestore' ] } ], "columnDefs": [ @@ -394,13 +400,13 @@ { "type": "natural" }, { "type": "natural", "width": "20%" }, { "type": "natural", "width": "12%" }, + { "orderDataType": "dom-innertext" }, + { "orderDataType": "dom-innertext", 'orderSequence': [ "desc", "asc"] }, { "type": "natural" }, + { "type": "scientific" }, { "type": "natural" }, { "type": "natural" }, - { "type": "natural" }, - { "type": "numeric-html" }, - { "type": "natural" }, - { "type": "scientific" } + { "type": "natural" } ], "createdRow": function ( row, data, index ) { $('td', row).eq(3).attr('title', $('td', row).eq(3).text()); @@ -414,25 +420,25 @@ $('td', row).eq(4).text($('td', row).eq(4).text() + '...') } }, - "order": [[11, "asc" ]], + "order": [[8, "asc" ]], "sDom": "Btir", "autoWidth": false, - "bDeferRender": true, - "scrollY": "800px", - "scrollCollapse": false - } ); + "bDeferRender": true + } {% elif target_dataset.type == "Geno" %} - $('#trait_table').dataTable( { + table_conf = { "paging": false, - "buttons": [ + buttons: [ { - extend: 'csvHtml5', - text: 'Download CSV', - title: 'correlation_results', - fieldBoundary: '"', - exportOptions: { - columns: [1, 2, 3, 4, 5, 6] - } + extend: 'columnsToggle', + columns: function( idx, data, node ) { + if (idx != 0) { + return true; + } else { + return false; + } + }, + postfixButtons: [ 'colvisRestore' ] } ], "columnDefs": [ @@ -443,7 +449,7 @@ { "type": "natural" }, { "type": "natural" }, { "type": "natural" }, - { "type": "numeric-html" }, + { "orderDataType": "dom-innertext", 'orderSequence': [ "desc", "asc"] }, { "type": "natural" }, { "type": "scientific" } ], @@ -453,8 +459,11 @@ "bDeferRender": true, "scrollY": "800px", "scrollCollapse": false - } ); + } {% endif %} + + var the_table = $('#trait_table').DataTable(table_conf); + console.timeEnd("Creating table"); submit_special = function(url) { @@ -467,48 +476,14 @@ return submit_special(url) }); - $("#corr_matrix").on("click", function() { - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); - $("#trait_list").val(traits) - console.log($("#trait_list").val(traits)) - url = $(this).data("url") - //return submit_special(url) - }); - $("#network_graph").on("click", function() { - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); - $("#trait_list").val(traits) - url = $(this).data("url") - return submit_special(url) - }); - $("#wgcna_setup").on("click", function() { - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); - $("#trait_list").val(traits) - url = $(this).data("url") - return submit_special(url) - }); - $("#ctl_setup").on("click", function() { - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); - $("#trait_list").val(traits) - url = $(this).data("url") - return submit_special(url) - }); - $("#heatmap").on("click", function() { - traits = $("#trait_table input:checked").map(function() { - return $(this).val(); - }).get(); - $("#trait_list").val(traits) - url = $(this).data("url") - return submit_special(url) + $("#more_options").click(function() { + $("div#filter_options").toggle(); }); + $("#select_traits").click(function() { + console.log("redrawing") + the_table.draw(); + }); }); </script> {% endblock %} diff --git a/wqflask/wqflask/templates/credits.html b/wqflask/wqflask/templates/credits.html new file mode 100644 index 00000000..95c424cc --- /dev/null +++ b/wqflask/wqflask/templates/credits.html @@ -0,0 +1,55 @@ +{% extends "base.html" %} +{% block title %}Credit{% endblock %} +{% block content %} + +<Table width= "100%" cellSpacing=0 cellPadding=5><TR> +<!-- Body Start from Here --> +<TD valign="top" height="200" width="100%"> + <P class="title"><H2>Web site design and coding</H2></P> + <UL> +<LI> <A HREF="mailto:rwilliams@uthsc.edu">Robert W Williams</a> +<LI>Kenneth Manly (design and QTL mapping, 1995-2007) +<LI>Jintao Wang (lead programmer, 2001–2006) +<LI><a href="http://www.nervenet.org/main/people.html">Arthur G. Centeno (IT Analyst III, 2001–present)</a> +<LI><a href="http://www.nervenet.org/main/people.html">Zachary Sloan (IT Analyst III, 2009–present)</a> +<LI><a href="http://www.nervenet.org/main/people.html">Lei Yan (systems and web services interface 2008-2018)</a> +<LI><a href="http://www.nervenet.org/main/people.html">Xusheng Wang (data analysis, 2008-2012)</a> +<LI><a href="http://www.nervenet.org/main/people.html">Xiaodong Zhou (lead programmer 2009–2011)</a> +<LI>Ning Liu (programmer 2008–2009)</LI> +<LI>Zhaohui Sun (SNP browser, programmer 2007) +<LI>Yanhua Qu (data entry, 2005-2008) +<LI>Stephen Pitts (programmer) +<LI>Hongqiang Li (lead programmer, 2007-2009) +<LI><A HREF="http://www.jax.org/news/archives/2009/chesler.html">Elissa Chesler</A> (design of QTL Heat Map, Compare Correlations, 2004-2006) +<LI>Kevitt Adler (systems, 2006-2008) +<LI>Robert Crowell (SNP Browser, 2006-2007) +<LI>David Crowell (partial correlations, 2008-2009) +<LI>Evan G. Williams (SNP and Variant Browser, data entry, 2004-2006) +<LI>Alex G Williams (QTL Maps GUI, 2003-2006) + </UL> + <P class="title"><H2>Published and Unpublished Phenotype Data</H2></P> + <UL> + <LI><A HREF="http://www.nervenet.org/people/lulu_cv.html">Lu Lu</A> + <LI> <A HREF="http://www.jax.org/news/archives/2009/chesler.html">Elissa J. Chesler</A> + <LI><a href="http://www.ohsu.edu/som-BehNeuro/Faculty/Crabbe.html">John C Crabbe</a>, OHSU + <LI><a href="http://www.ohsu.edu/som-BehNeuro/Faculty/Belknap.html">John K Belknap</a>, OHSU + <LI>Mary-Kathleen Sullivan + <LI>Emily English + <LI>Byron Jones + <LI>Ryan McNieve + <LI>Nathan Copeland + </UL> + <P class="title"><H2>Genotype / Genomic Data</H2></P> + <UL> + <LI> <A HREF="http://www.nervenet.org/people/lulu_cv.html">Lu Lu</A> + <LI><a href="http://www.nervenet.org/people/Gu_cv.html">Jing Gu</a> + <LI>Shuhua Qi + <LI>John Hogenesch + <LI>Timothy Wiltshire + <LI><a href="http://www.nervenet.org/people/Yanhua_cv.html">Yanhua Qu</a> + </UL> + <P></P> +</TD> +</TR></TABLE> + +{% endblock %} diff --git a/wqflask/wqflask/templates/ctl_results.html b/wqflask/wqflask/templates/ctl_results.html index d85075a9..0108d93a 100644 --- a/wqflask/wqflask/templates/ctl_results.html +++ b/wqflask/wqflask/templates/ctl_results.html @@ -61,6 +61,7 @@ <script> elements_list = {{ elements | safe }} + gn2_url = "{{ gn2_url | safe }}" </script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.js"></script> diff --git a/wqflask/wqflask/templates/docedit.html b/wqflask/wqflask/templates/docedit.html index 1a9e8ca8..b87c5b41 100644 --- a/wqflask/wqflask/templates/docedit.html +++ b/wqflask/wqflask/templates/docedit.html @@ -5,15 +5,26 @@ {% block content %} <div class="container"> <h3>Edit: {{title}}</h3> - <form> + <form id="update_text" action="/update_text" method="post"> + <input type="hidden" name="entry_type" value="{{ entry }}"> + <input type="hidden" name="title" value="{{ title }}"> + {% if editable is defined %} + <input type="hidden" name="edit" value="{{ editable }}"> + {% endif %} + <button class="submit_changes" style="margin-bottom: 20px;">Submit Changes</button> <textarea name="ckcontent" id="ckcontent"> {{content|safe}} </textarea> - <script type="text/javascript" src="/static/packages/ckeditor/ckeditor.js"></script> + <button class="submit_changes" style="margin-top: 20px;">Submit Changes</button> + <script src="/static/packages/ckeditor/ckeditor.js"></script> <script type="text/javascript"> CKEDITOR.replace('ckcontent', { height: '650px', }); + + $('.submit_changes').click(function() { + $('#update_text').submit(); + }) </script> </form> </div> diff --git a/wqflask/wqflask/templates/docs.html b/wqflask/wqflask/templates/docs.html index 08f95721..1e5a7aef 100644 --- a/wqflask/wqflask/templates/docs.html +++ b/wqflask/wqflask/templates/docs.html @@ -6,9 +6,11 @@ <div class="container"> <h3>{{title}}</h3> <div style="text-align: right;"> - <a href="docedit?entry={{entry}}"> - <img style="width: 25px;" src="/static/images/edit.png"> + {% if editable == "true" %} + <a href="docedit?entry={{entry}}&edit=true"> + <img style="width: 16px;" src="/static/new/images/edit.gif"> </a> + {% endif %} </div> {{content|safe}} </div> diff --git a/wqflask/wqflask/templates/geneweaver_page.html b/wqflask/wqflask/templates/geneweaver_page.html new file mode 100644 index 00000000..7687cb6a --- /dev/null +++ b/wqflask/wqflask/templates/geneweaver_page.html @@ -0,0 +1,35 @@ +{% extends "base.html" %} +{% block title %}{% if wrong_input == "True" %}WebGestalt Error{% else %}Opening WebGestalt{% endif %}{% endblock %} +{% block content %} + {% if wrong_input == "True" %} + <div class="container"> + <h1>Error</h1> + <hr style="height: 1px; background-color: #A9A9A9;"> + {% if chip_name == "mixed" %} + <h3>Sorry, the analysis was interrupted because your selections from GeneNetwork apparently include data from more than one array platform (i.e., Affymetrix U74A and M430 2.0). Most WebGestalt analyses assume that you are using a single array type and compute statistical values on the basis of that particular array. Please reselect traits from a signle platform and submit again.</h3> + {% elif chip_name == "not_microarray" %} + <h3>You need to select at least one microarray trait to submit.</hr> + {% elif '_NA' in chip_name %} + <h3>Sorry, the analysis was interrupted because your selections from GeneNetwork apparently include data from platform {{ chip_name }} which is unknown by GeneWeaver. Please reselect traits and submit again.</h3> + {% else %} + <h3>Sorry, an error occurred while submitting your traits to GeneWeaver.</h3> + {% endif %} + </div> + {% else %} + <div class="container"> + <h3>Opening GeneWeaver...</h3> + </div> + <form method="post" action="http://ontologicaldiscovery.org/index.php?action=manage&cmd=importGeneSet" name="formODE"> + {% for key in hidden_vars %} + <input type="hidden" name="{{ key }}" value="{{ hidden_vars[key] }}"> + {% endfor %} + </form> + {% endif %} +{% endblock %} +{% block js %} +{% if wrong_input == "False" %} +<script type="text/javascript"> + setTimeout('document.formODE.submit()', 1000); +</script> +{% endif %} +{% endblock %}
\ No newline at end of file diff --git a/wqflask/wqflask/templates/gsearch_gene.html b/wqflask/wqflask/templates/gsearch_gene.html index 0612bfcc..556d46d3 100644 --- a/wqflask/wqflask/templates/gsearch_gene.html +++ b/wqflask/wqflask/templates/gsearch_gene.html @@ -2,13 +2,17 @@ {% block title %}Search Results{% endblock %} {% block css %} <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" /> + <link rel="stylesheet" type="text/css" href="/static/new/css/show_trait.css" /> {% endblock %} {% block content %} <!-- Start of body --> - <div class="container"> + <div class="container" style="width: 2000px;"> - <p>You searched for {{ terms }}.</p> + <h3>GN searched for the term(s) <b>"{{ terms }}"</b> in 754 datasets and 39,765,944 traits across 10 species<br/> + and found <b>{{ trait_count }}</b> results that match your query.<br/> + You can filter these results by adding key words in the fields below<br/> + and you can also sort results on most columns.</h3> <p>To study a record, click on its Record ID below.<br />Check records below and click Add button to add to selection.</p> <div> @@ -19,69 +23,19 @@ <button class="btn btn-default" id="add" disabled ><span class="glyphicon glyphicon-plus-sign"></span> Add</button> <input type="text" id="searchbox" class="form-control" style="width: 180px; display: inline;" placeholder="Search This Table For ..."> <input type="text" id="select_top" class="form-control" style="width: 120px; display: inline;" placeholder="Select Top ..."> - <br /> - <br /> - <form id="export_form" method="POST" action="/export_traits_csv"> + <form id="export_form" method="POST" action="/export_traits_csv" style="display: inline;"> + <input type="hidden" name="headers" id="headers" value="{% for field in header_fields %}{{ field }},{% endfor %}"> <input type="hidden" name="database_name" id="database_name" value="None"> <input type="hidden" name="export_data" id="export_data" value=""> - <button class="btn btn-default" id="export_traits">Download CSV</button> + <button class="btn btn-default" id="export_traits">Download</button> </form> <br /> + <br /> <div style="width: 100%;"> - <table width="100%" id="trait_table" class="display dataTable nowrap" style="float: left;"> - <thead> - <tr> - <th></th> - <th data-export="Index">Index</th> - <th data-export="Record">Record ID</th> - <th data-export="Species">Species</th> - <th data-export="Group">Group</th> - <th data-export="Tissue">Tissue</th> - <th data-export="Dataset">Dataset</th> - <th data-export="Symbol">Symbol</th> - <th data-export="Description">Description</th> - <th data-export="Location">Location</th> - <th data-export="Mean">Mean</th> - <th data-export="Max LRS">Max LRS <a href="http://genenetwork.org//glossary.html#LRS" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - <th data-export="Additive Effect">Additive Effect <a href="http://genenetwork.org//glossary.html#A" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - </tr> - </thead> + <table id="trait_table" class="table-hover table-striped cell-border" style="float: left;"> <tbody> - {% for this_trait in trait_list %} - <tr id="trait:{{ this_trait.name }}:{{ this_trait.dataset }}"> - <td align="center" style="padding-right: 0px; padding-left: 5px;"><input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="{{ data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset)) }}"></td> - <td align="right" data-export="{{ loop.index }}">{{ loop.index }}</td> - <td data-export="{{ this_trait.name }}"><a href="{{ url_for('show_trait_page', trait_id = this_trait.name, dataset = this_trait.dataset)}}">{{ this_trait.name }}</a></td> - <td data-export="{{ this_trait.species }}">{{ this_trait.species }}</td> - <td data-export="{{ this_trait.group }}">{{ this_trait.group }}</td> - <td data-export="{{ this_trait.tissue }}">{{ this_trait.tissue }}</td> - <td data-export="{{ this_trait.dataset }}">{{ this_trait.dataset }}</td> - <td data-export="{{ this_trait.symbol }}">{{ this_trait.symbol }}</td> - <td data-export="{{ this_trait.description }}">{{ this_trait.description }}</td> - <td data-export="{{ this_trait.location_repr }}" align="right">{{ this_trait.location_repr }}</td> - <td data-export="{{ '%0.3f' % this_trait.mean|float }}" align="right">{{ '%0.3f' % this_trait.mean|float }}</td> - <td data-export="{% if this_trait.LRS_score_repr != "N/A" %}{{ '%0.1f' % this_trait.LRS_score_repr|float }}{% else %}N/A{% endif %}" align="right">{% if this_trait.LRS_score_repr != "N/A" %}{{ '%0.1f' % this_trait.LRS_score_repr|float }}{% else %}N/A{% endif %}</td> - <td data-export="{% if this_trait.additive != "" %}{{ '%0.3f' % this_trait.additive|float }}{% else %}N/A{% endif %}" align="right">{% if this_trait.additive != "" %}{{ '%0.3f' % this_trait.additive|float }}{% else %}N/A{% endif %}</td> - </tr> - {% endfor %} + <td colspan="100%" align="center"><br><b><font size="15">Loading...</font></b><br></td> </tbody> - <tfoot> - <tr> - <th></th> - <th>Index</th> - <th>Record ID</th> - <th>Species</th> - <th>Group</th> - <th>Tissue</th> - <th>Dataset</th> - <th>Symbol</th> - <th>Description</th> - <th>Location</th> - <th>Mean</th> - <th data-export="Max LRS">Max LRS <a href="http://genenetwork.org//glossary.html#LRS" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - <th data-export="Additive Effect">Additive Effect <a href="http://genenetwork.org//glossary.html#A" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - </tr> - </tfoot> </table> </div> </div> @@ -92,14 +46,18 @@ {% endblock %} {% block js %} + <script language="javascript" type="text/javascript" src="/static/new/js_external/md5.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/javascript/search_results.js"></script> - <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/js_external/jszip.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.naturalSort.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colReorder.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colResize.js"></script> - + + <script type='text/javascript'> + var the_rows = {{ trait_list|safe }}; + </script> + <script type="text/javascript" charset="utf-8"> $.fn.dataTable.ext.order['dom-checkbox'] = function ( settings, col ) { @@ -108,6 +66,13 @@ } ); }; + $.fn.dataTable.ext.order['dom-inner-text'] = function ( settings, col ) + { + return this.api().column( col, {order:'index'} ).nodes().map( function ( td, i ) { + return $(td).text(); + } ); + } + $(document).ready( function () { $('#trait_table tr').click(function(event) { @@ -116,54 +81,211 @@ } }); + function change_buttons() { + buttons = ["#add", "#remove"]; + num_checked = $('.trait_checkbox:checked').length; + if (num_checked === 0) { + for (_i = 0, _len = buttons.length; _i < _len; _i++) { + button = buttons[_i]; + $(button).prop("disabled", true); + } + } else { + for (_j = 0, _len2 = buttons.length; _j < _len2; _j++) { + button = buttons[_j]; + $(button).prop("disabled", false); + } + } + //}); + if ($(this).is(":checked")) { + if (!$(this).closest('tr').hasClass('selected')) { + $(this).closest('tr').addClass('selected') + } + } + else { + if ($(this).closest('tr').hasClass('selected')) { + $(this).closest('tr').removeClass('selected') + } + } + } + console.time("Creating table"); $('#trait_table').DataTable( { - "createdRow": function ( row, data, index ) { + 'drawCallback': function( settings ) { + $('#trait_table tr').click(function(event) { + if (event.target.type !== 'checkbox' && event.target.tagName.toLowerCase() !== 'a') { + $(':checkbox', this).trigger('click'); + } + }); + $('.trait_checkbox:checkbox').on("change", change_buttons); + }, + 'createdRow': function ( row, data, index ) { + $('td', row).eq(0).attr("style", "text-align: center; padding: 4px 10px 2px 10px;"); + $('td', row).eq(1).attr("align", "right"); + $('td', row).eq(4).attr('title', $('td', row).eq(4).text()); + if ($('td', row).eq(4).text().length > 20) { + $('td', row).eq(4).text($('td', row).eq(4).text().substring(0, 20)); + $('td', row).eq(4).text($('td', row).eq(4).text() + '...') + } + $('td', row).eq(5).attr('title', $('td', row).eq(5).text()); + if ($('td', row).eq(5).text().length > 20) { + $('td', row).eq(5).text($('td', row).eq(5).text().substring(0, 20)); + $('td', row).eq(5).text($('td', row).eq(5).text() + '...') + } + $('td', row).eq(6).attr('title', $('td', row).eq(6).text()); + if ($('td', row).eq(6).text().length > 35) { + $('td', row).eq(6).text($('td', row).eq(6).text().substring(0, 35)); + $('td', row).eq(6).text($('td', row).eq(6).text() + '...') + } $('td', row).eq(8).attr('title', $('td', row).eq(8).text()); - if ($('td', row).eq(8).text().length > 50) { - $('td', row).eq(8).text($('td', row).eq(8).text().substring(0, 50)); + if ($('td', row).eq(8).text().length > 45) { + $('td', row).eq(8).text($('td', row).eq(8).text().substring(0, 45)); $('td', row).eq(8).text($('td', row).eq(8).text() + '...') } + $('td', row).slice(10,14).attr("align", "right"); + $('td', row).eq(1).attr('data-export', $('td', row).eq(1).text()); + $('td', row).eq(2).attr('data-export', $('td', row).eq(2).text()); + $('td', row).eq(3).attr('data-export', $('td', row).eq(3).text()); + $('td', row).eq(4).attr('data-export', $('td', row).eq(4).text()); + $('td', row).eq(5).attr('data-export', $('td', row).eq(5).text()); + $('td', row).eq(6).attr('data-export', $('td', row).eq(6).text()); + $('td', row).eq(7).attr('data-export', $('td', row).eq(7).text()); + $('td', row).eq(8).attr('data-export', $('td', row).eq(8).text()); + $('td', row).eq(9).attr('data-export', $('td', row).eq(9).text()); + $('td', row).eq(10).attr('data-export', $('td', row).eq(10).text()); + $('td', row).eq(11).attr('data-export', $('td', row).eq(11).text()); + $('td', row).eq(12).attr('data-export', $('td', row).eq(12).text()); + $('td', row).eq(13).attr('data-export', $('td', row).eq(13).text()); }, - "paging": false, - "columns": [ - { "orderDataType": "dom-checkbox" }, - { "type": "natural", "width": "3%" }, - { "type": "natural", "width": "6%" }, - { "type": "natural", "width": "8%" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural", "width": "7%" }, - { "type": "natural", "width": "4%" }, - { "type": "natural", "width": "5%" }, - { "type": "natural", "width": "5%" } - ], - "columnDefs": [ + 'data': the_rows, + 'columns': [ + { + 'data': null, + 'orderDataType': "dom-checkbox", + 'render': function(data, type, row, meta) { + return '<input type="checkbox" name="searchResult" class="trait_checkbox checkbox" value="' + data.hmac + '">' + } + }, + { + 'title': "Index", + 'type': "natural", + 'data': "index" + }, + { + 'title': "Record", + 'type': "natural", + 'data': null, + 'orderDataType': "dom-inner-text", + 'render': function(data, type, row, meta) { + return '<a target="_blank" href="/show_trait?trait_id=' + data.name + '&dataset=' + data.dataset + '">' + data.name + '</a>' + } + }, + { + 'title': "Species", + 'type': "natural", + 'data': "species" + }, + { + 'title': "Group", + 'type': "natural", + 'data': "group" + }, + { + 'title': "Tissue", + 'type': "natural", + 'data': "tissue" + }, + { + 'title': "Dataset", + 'type': "natural", + 'data': "dataset_fullname" + }, + { + 'title': "Symbol", + 'type': "natural", + 'data': "symbol" + }, + { + 'title': "Description", + 'type': "natural", + 'data': null, + 'render': function(data, type, row, meta) { + try { + return decodeURIComponent(escape(data.description)) + } catch(err) { + return escape(data.description) + } + } + }, + { + 'title': "Location", + 'type': "natural", + 'width': "100px", + 'data': "location_repr" + }, { - "targets": 0, - "orderable": false, - "orderDataType": "dom-checkbox" + 'title': "Mean", + 'type': "natural", + 'data': "mean", + 'orderSequence': [ "desc", "asc"] + }, + { + 'title': "Max<br>LRS<a href=\"http://genenetwork.org//glossary.html#LRS\" target=\"_blank\" style=\"color: white;\"><sup>?</sup></a>", + 'type': "natural", + 'data': "LRS_score_repr", + 'orderSequence': [ "desc", "asc"] + }, + { + 'title': "Max LRS<br>Location", + 'type': "natural", + 'width': "100px", + 'data': "max_lrs_text" + }, + { + 'title': "Additive<br>Effect<a href=\"http://genenetwork.org//glossary.html#A\" target=\"_blank\" style=\"color: white;\"><sup>?</sup></a>", + 'type': "natural", + 'width': "50px", + 'data': "additive", + 'orderSequence': [ "desc", "asc"] } ], - "order": [[1, "asc" ]], - "sDom": "tir", - "autoWidth": false, - "deferRender": true, - "bSortClasses": false, - "scrollY": "600px", - "scrollCollapse": true, - "scroller": true, - "scrollX": true, - "paging": false, - "orderClasses": true + 'order': [[1, "asc" ]], + 'sDom': "tir", + 'autoWidth': true, + 'deferRender': true, + 'paging': false, + 'orderClasses': true, + 'processing': true, + 'language': { + 'loadingRecords': ' ', + 'processing': 'Loading...' + } } ); + $('#trait_table').append( + '<tfoot>' + + '<tr>' + + '<th></th>' + + '<th>Index</th>' + + '<th>Record ID</th>' + + '<th>Species</th> ' + + '<th>Group</th>' + + '<th>Tissue</th>' + + '<th>Dataset</th>' + + '<th>Symbol</th>' + + '<th>Description</th>' + + '<th>Location</th>' + + '<th>Mean</th>' + + '<th>Max LRS <a href="http://genenetwork.org//glossary.html#LRS" target="_blank" style="color: white;"><sup>?</sup></a></th>' + + '<th>Max LRS Location</th>' + + '<th>Additive Effect <a href="http://genenetwork.org//glossary.html#A" target="_blank" style="color: white;"><sup>?</sup></a></th>' + + '</tr>' + + '</tfoot>' + ); + console.timeEnd("Creating table"); }); </script> + <script language="javascript" type="text/javascript" src="/static/new/javascript/search_results.js"></script> {% endblock %} diff --git a/wqflask/wqflask/templates/gsearch_pheno.html b/wqflask/wqflask/templates/gsearch_pheno.html index c2cbdadd..f6ffff47 100644 --- a/wqflask/wqflask/templates/gsearch_pheno.html +++ b/wqflask/wqflask/templates/gsearch_pheno.html @@ -2,13 +2,17 @@ {% block title %}Search Results{% endblock %} {% block css %} <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" /> + <link rel="stylesheet" type="text/css" href="/static/new/css/show_trait.css" /> {% endblock %} {% block content %} <!-- Start of body --> <div class="container"> - <p>You searched for {{ terms }}.</p> + <h3>GN searched for the term(s) <b>"{{ terms }}"</b> in 51 datasets and 13763 traits across 10 species<br/> + and found <b>{{ trait_count }}</b> results that match your query.<br/> + You can filter these results by adding key words in the fields below<br/> + and you can also sort results on most columns.</h3> <p>To study a record, click on its ID below.<br />Check records below and click Add button to add to selection.</p> <div> @@ -19,60 +23,19 @@ <button class="btn btn-default" id="add" disabled ><span class="glyphicon glyphicon-plus-sign"></span> Add</button> <input type="text" id="searchbox" class="form-control" style="width: 200px; display: inline;" placeholder="Search This Table For ..."> <input type="text" id="select_top" class="form-control" style="width: 200px; display: inline;" placeholder="Select Top ..."> - <br /> - <br /> - <form id="export_form" method="POST" action="/export_traits_csv"> + <form id="export_form" method="POST" action="/export_traits_csv" style="display: inline;"> + <input type="hidden" name="headers" id="headers" value="{% for field in header_fields %}{{ field }},{% endfor %}"> <input type="hidden" name="database_name" id="database_name" value="None"> <input type="hidden" name="export_data" id="export_data" value=""> <button class="btn btn-default" id="export_traits">Download CSV</button> </form> <br /> - <div> - <table id="trait_table" class="display dataTable nowrap" style="float: left;"> - <thead> - <tr> - <th></th> - <th data-export="Index">Index</th> - <th data-export="Species">Species</th> - <th data-export="Group">Group</th> - <th data-export="Record">Record</th> - <th data-export="Description">Description</th> - <th data-export="Authors">Authors</th> - <th data-export="Year">Year</th> - <th data-export="Max LRS">Max LRS <a href="http://genenetwork.org//glossary.html#LRS" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - <th data-export="Additive Effect">Additive Effect <a href="http://genenetwork.org//glossary.html#A" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - </tr> - </thead> + <br /> + <div style="width: 100%;"> + <table id="trait_table" class="table-hover table-striped cell-border" style="float: left;"> <tbody> - {% for this_trait in trait_list %} - <tr id="trait:{{ this_trait.name }}:{{ this_trait.dataset }}"> - <td align="center" style="padding-right: 0px; padding-left: 5px;"><input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="{{ data_hmac('{}:{}'.format(this_trait.name, this_trait.dataset)) }}"></td> - <td align="right" data-export="{{ loop.index }}">{{ loop.index }}</td> - <td data-export="{{ this_trait.species }}">{{ this_trait.species }}</td> - <td data-export="{{ this_trait.group }}">{{ this_trait.group }}</td> - <td data-export="{{ this_trait.name }}"><a href="{{ url_for('show_trait_page', trait_id = this_trait.name, dataset = this_trait.dataset)}}">{{ this_trait.name }}</a></td> - <td data-export="{{ this_trait.description }}">{{ this_trait.description }}</td> - <td data-export="{{ this_trait.authors }}">{{ this_trait.authors }}</td> - <td data-export="{{ this_trait.pubmed_text }}" data-order="{{ this_trait.pubmed_text }}"><a href="{{ this_trait.pubmed_link }}">{{ this_trait.pubmed_text }}</a></td> - <td data-export="{% if this_trait.LRS_score_repr != "N/A" %}{{ '%0.1f' % this_trait.LRS_score_repr|float }}{% else %}N/A{% endif %}" align="right">{% if this_trait.LRS_score_repr != "N/A" %}{{ '%0.1f' % this_trait.LRS_score_repr|float }}{% else %}N/A{% endif %}</td> - <td data-export="{% if this_trait.additive != "" %}{{ this_trait.additive }}{% else %}N/A{% endif %}" align="right">{% if this_trait.additive != "" %}{{ this_trait.additive }}{% else %}N/A{% endif %}</td> - </tr> - {% endfor %} + <td colspan="100%" align="center"><br><b><font size="15">Loading...</font></b><br></td> </tbody> - <tfoot> - <tr> - <th></th> - <th>Index</th> - <th>Species</th> - <th>Group</th> - <th>Record</th> - <th>Description</th> - <th>Authors</th> - <th>Year</th> - <th data-export="Max LRS">Max LRS <a href="http://genenetwork.org//glossary.html#LRS" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - <th data-export="Additive Effect">Additive Effect <a href="http://genenetwork.org//glossary.html#A" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - </tr> - </tfoot> </table> </div> </div> @@ -83,14 +46,18 @@ {% endblock %} {% block js %} + <script language="javascript" type="text/javascript" src="/static/new/js_external/md5.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/javascript/search_results.js"></script> - <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/js_external/jszip.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.naturalSort.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colReorder.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/dataTables.colResize.js"></script> - + + <script type='text/javascript'> + var the_rows = {{ trait_list|safe }}; + </script> + <script type="text/javascript" charset="utf-8"> $.fn.dataTable.ext.order['dom-checkbox'] = function ( settings, col ) { @@ -99,62 +66,223 @@ } ); }; + $.fn.dataTable.ext.order['dom-inner-text'] = function ( settings, col ) + { + return this.api().column( col, {order:'index'} ).nodes().map( function ( td, i ) { + return $(td).text(); + } ); + } + $(document).ready( function () { - + $('#trait_table tr').click(function(event) { if (event.target.type !== 'checkbox') { $(':checkbox', this).trigger('click'); } }); + function change_buttons() { + buttons = ["#add", "#remove"]; + num_checked = $('.trait_checkbox:checked').length; + if (num_checked === 0) { + for (_i = 0, _len = buttons.length; _i < _len; _i++) { + button = buttons[_i]; + $(button).prop("disabled", true); + } + } else { + for (_j = 0, _len2 = buttons.length; _j < _len2; _j++) { + button = buttons[_j]; + $(button).prop("disabled", false); + } + } + //}); + if ($(this).is(":checked")) { + if (!$(this).closest('tr').hasClass('selected')) { + $(this).closest('tr').addClass('selected') + } + } + else { + if ($(this).closest('tr').hasClass('selected')) { + $(this).closest('tr').removeClass('selected') + } + } + } + console.time("Creating table"); $('#trait_table').DataTable( { + 'drawCallback': function( settings ) { + $('#trait_table tr').click(function(event) { + if (event.target.type !== 'checkbox' && event.target.tagName.toLowerCase() !== 'a') { + $(':checkbox', this).trigger('click'); + } + }); + $('.trait_checkbox:checkbox').on("change", change_buttons); + }, "createdRow": function ( row, data, index ) { + $('td', row).eq(0).attr("style", "text-align: center; padding: 4px 10px 2px 10px;"); + $('td', row).eq(1).attr("align", "right"); $('td', row).eq(5).attr('title', $('td', row).eq(5).text()); - if ($('td', row).eq(5).text().length > 50) { - $('td', row).eq(5).text($('td', row).eq(5).text().substring(0, 50)); + if ($('td', row).eq(5).text().length > 150) { + $('td', row).eq(5).text($('td', row).eq(5).text().substring(0, 150)); $('td', row).eq(5).text($('td', row).eq(5).text() + '...') } $('td', row).eq(6).attr('title', $('td', row).eq(6).text()); - if ($('td', row).eq(6).text().length > 50) { - $('td', row).eq(6).text($('td', row).eq(6).text().substring(0, 50)); + if ($('td', row).eq(6).text().length > 150) { + $('td', row).eq(6).text($('td', row).eq(6).text().substring(0, 150)); $('td', row).eq(6).text($('td', row).eq(6).text() + '...') } + $('td', row).slice(8,11).attr("align", "right"); + $('td', row).eq(1).attr('data-export', $('td', row).eq(1).text()); + $('td', row).eq(2).attr('data-export', $('td', row).eq(2).text()); + $('td', row).eq(3).attr('data-export', $('td', row).eq(3).text()); + $('td', row).eq(4).attr('data-export', $('td', row).eq(4).text()); + $('td', row).eq(5).attr('data-export', $('td', row).eq(5).text()); + $('td', row).eq(6).attr('data-export', $('td', row).eq(6).text()); + $('td', row).eq(7).attr('data-export', $('td', row).eq(7).text()); + $('td', row).eq(8).attr('data-export', $('td', row).eq(8).text()); + $('td', row).eq(9).attr('data-export', $('td', row).eq(9).text()); + $('td', row).eq(10).attr('data-export', $('td', row).eq(10).text()); }, - "paging": false, - "columns": [ - { "orderDataType": "dom-checkbox" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "natural", "width": "30%"}, - { "type": "natural", "width": "25%"}, - { "type": "natural" }, - { "type": "natural", "width": "8%"}, - { "type": "natural" } - ], - "columnDefs": [ + 'data': the_rows, + 'columns': [ + { + 'data': null, + 'orderDataType': "dom-checkbox", + 'render': function(data, type, row, meta) { + return '<input type="checkbox" name="searchResult" class="trait_checkbox checkbox" value="' + data.hmac + '">' + } + }, + { + 'title': "Index", + 'type': "natural", + 'data': "index" + }, + { + 'title': "Species", + 'type': "natural", + 'data': "species" + }, { - "targets": 0, - "orderable": false, - "orderDataType": "dom-checkbox" + 'title': "Group", + 'type': "natural", + 'width': "10%", + 'data': "group" + }, + { + 'title': "Record", + 'type': "natural", + 'data': null, + 'render': function(data, type, row, meta) { + return '<a target="_blank" href="/show_trait?trait_id=' + data.name + '&dataset=' + data.dataset + '">' + data.display_name + '</a>' + } + }, + { + 'title': "Description", + 'type': "natural", + 'width': "25%", + 'data': null, + 'render': function(data, type, row, meta) { + try { + return decodeURIComponent(escape(data.description)) + } catch(err) { + return data.description + } + } + }, + { + 'title': "Mean", + 'type': "natural", + 'width': "10%", + 'data': "mean" + }, + { + 'title': "Authors", + 'type': "natural", + 'width': "25%", + 'data': null, + 'render': function(data, type, row, meta) { + author_list = data.authors.split(",") + if (author_list.length >= 6) { + author_string = author_list.slice(0, 6).join(",") + ", et al." + } else{ + author_string = data.authors + } + + try { + return decodeURIComponent(escape(author_string)) + } catch(err) { + return author_string + } + + } + }, + { + 'title': "Year", + 'type': "natural", + 'data': null, + 'orderDataType': "dom-inner-text", + 'render': function(data, type, row, meta) { + if (data.pubmed_id != "N/A"){ + return '<a href="' + data.pubmed_link + '">' + data.pubmed_text + '</a>' + } else { + return data.pubmed_text + } + }, + 'orderSequence': [ "desc", "asc"] + }, + { + 'title': "Max LRS<a href=\"http://genenetwork.org//glossary.html#LRS\" target=\"_blank\" style=\"color: white;\"><sup>?</sup></a>", + 'type': "natural", + 'data': "LRS_score_repr", + 'orderSequence': [ "desc", "asc"] + }, + { + 'title': "Max LRS Location", + 'type': "natural", + 'width': "10%", + 'data': "max_lrs_text" + }, + { + 'title': "Additive Effect<a href=\"http://genenetwork.org//glossary.html#A\" target=\"_blank\" style=\"color: white;\"><sup>?</sup></a>", + 'type': "natural", + 'data': "additive", + 'orderSequence': [ "desc", "asc"] } ], - "order": [[1, "asc" ]], - "sDom": "tir", - "autoWidth": false, - "deferRender": true, - "bSortClasses": false, - "scrollY": "600px", - "scrollCollapse": true, - "scroller": true, - "scrollX": true, - "paging": false, - "orderClasses": true + 'order': [[1, "asc" ]], + 'sDom': "tir", + 'autoWidth': false, + 'deferRender': true, + 'paging': false, + 'orderClasses': true, + 'processing': true, + 'language': { + 'loadingRecords': ' ', + 'processing': 'Loading...' + } } ); + + $('#trait_table').append( + '<tfoot>' + + '<tr>' + + '<th></th>' + + '<th>Index</th>' + + '<th>Species</th> ' + + '<th>Group</th>' + + '<th>Record</th>' + + '<th>Description</th>' + + '<th>Authors</th>' + + '<th>Year</th>' + + '<th>Max LRS</th>' + + '<th>Max LRS Location</th>' + + '<th>Additive Effect</th>' + + '</tr>' + + '</tfoot>' + ); + console.timeEnd("Creating table"); }); </script> + <script language="javascript" type="text/javascript" src="/static/new/javascript/search_results.js"></script> {% endblock %} diff --git a/wqflask/wqflask/templates/heatmap.html b/wqflask/wqflask/templates/heatmap.html index 68880829..275ff1ba 100644 --- a/wqflask/wqflask/templates/heatmap.html +++ b/wqflask/wqflask/templates/heatmap.html @@ -5,15 +5,14 @@ <link rel="stylesheet" type="text/css" href="/static/new/css/panelutil.css" /> {% endblock %} {% block content %} <!-- Start of body --> - - {{ header("Heatmap") }} - <div class="container"> + <h1>Heatmap</h1> + <hr style="height: 1px; background-color: #A9A9A9;"> <div> <h3> The following heatmap is a work in progress. The heatmap for each trait runs horizontally (as opposed to vertically in GeneNetwork 1), - and hovering over a given trait's heatmap track will display its corresponding QTL chart below. Black on the heatmap corresponds with a - low positive or negative z-score (darker when closer to 0), while light blue and yellow correspond to high negative and positive z-scores respectively. + and hovering over a given trait's heatmap track will display its corresponding QTL chart below. White on the heatmap corresponds with a + low positive or negative z-score (darker when closer to 0), while light blue and red correspond to high negative and positive z-scores respectively. </h3> </div> <div id="chart_container"> diff --git a/wqflask/wqflask/templates/index_page.html b/wqflask/wqflask/templates/index_page.html index 3b96d1e1..f8720d39 100644 --- a/wqflask/wqflask/templates/index_page.html +++ b/wqflask/wqflask/templates/index_page.html @@ -143,6 +143,9 @@ highly expressed genes (15 to 16 log2 units) AND with peak <a href="http://www.genenetwork.org/glossary.html#L">LRS</a> linkage between 23 and 46.</li> + <li><b>RANGE=(1.5 2.5)</b> in the <b>Any</b> field finds traits with values with a specified fold-range (minimum = 1). + Useful for finding "housekeeping genes" <b>(1.0 1.2)</b> or highly variable molecular assays <b>(10 100)</b>.</li> + <li><b>RIF=mitochondrial</b> searches RNA databases for <a href="https://en.wikipedia.org/wiki/GeneRIF"> GeneRIF</a> links.</li> @@ -216,9 +219,9 @@ <h3>GN1 Mirror and development sites</h3> <ul> - <li><a href="http://www.genenetwork.org/">Main GN1 site at UTHSC</a> (main site)</li> + <li><a href="http://gn1.genenetwork.org/">Main GN1 site at UTHSC</a> (main site)</li> <li><a href="http://genenetwork.helmholtz-hzi.de/">Germany at the HZI</a></li> - <li><a href="http://gn2.genenetwork.org/">Memphis at the U of M</a></li> + <li><a href="http://genenetwork.org/">Memphis at the U of M</a></li> </ul> </section> @@ -276,11 +279,12 @@ function pressed(e) { // Has the enter key been pressed? if ( (window.event ? event.keyCode : e.which) == 13) { + e.preventDefault(); // If enter key has been pressed and the search fields are non-empty - // manually submit the <form> - if( event.target.value.trim() != "" ) { - document.forms[1].submit(); - } + // manually submit the <form> + if( event.target.value.trim() != "" ) { + document.forms[1].submit(); + } } } </script> diff --git a/wqflask/wqflask/templates/index_page_orig.html b/wqflask/wqflask/templates/index_page_orig.html index dba3e266..06b71f53 100755 --- a/wqflask/wqflask/templates/index_page_orig.html +++ b/wqflask/wqflask/templates/index_page_orig.html @@ -17,18 +17,18 @@ </header> --> - <div class="container-fluid"> + <div class="container-fluid" style="min-width: 1200px;"> {{ flash_me() }} <div class="row" style="width: 100%;"> - <div class="col-xs-5"> + <div class="col-xs-5" style="min-width: 530px; max-width: 550px;"> <section id="search"> - <div class="page-header"> + <div> <h1>Select and search</h1> </div> - <form method="get" action="/search" name="SEARCHFORM"> + <form method="get" action="/search" target="_blank" name="SEARCHFORM"> <fieldset> <div style="padding: 20px" class="form-horizontal"> @@ -36,10 +36,7 @@ <label for="species" class="col-xs-1 control-label" style="width: 65px !important;">Species:</label> <div class="col-xs-10 controls input-append" style="display: flex; padding-left: 20px;"> <div class="col-8"> - <select name="species" id="species" class="form-control" style="width: 280px !important;"></select> - </div> - <div class="col-4" style="margin-left: 10px;"> - <button type="button" id="make_default" class="btn btn-primary form-control">Make Default</button> + <select name="species" id="species" class="form-control" style="width: 280px !important;"><option>Loading...</option></select> </div> </div> </div> @@ -47,8 +44,8 @@ <div class="form-group"> <label for="group" class="col-xs-1 control-label" style="width: 65px !important;">Group:</label> <div class="col-xs-10 controls input-append" style="padding-left: 20px;"> - <div class="col-8"> - <select name="group" id="group" class="form-control" style="width: 280px !important;"></select> + <div class="col-9"> + <select name="group" id="group" class="form-control" style="width: 340px !important;"><option>Loading...</option></select> <i class="icon-question-sign"></i> </div> </div> @@ -56,23 +53,23 @@ <div class="form-group"> <label for="tissue" class="col-xs-1 control-label" style="width: 65px !important;">Type:</label> - <div class="col-xs-10 controls" style="padding-left: 20px;"> - <div class="col-8"> - <select name="type" id="type" class="form-control" style="width: 280px !important;"></select> + <div class="col-xs-10 controls input-append" style="display: flex; padding-left: 20px;"> + <div class="col-9"> + <select name="type" id="type" class="form-control" style="width: 340px !important;"><option>Loading...</option></select> + </div> + <div class="col-3" style="margin-left: 10px;"> + <button type="button" id="dataset_info" class="btn btn-primary form-control" style="width: 75px !important;">Info</button> </div> </div> </div> <div class="form-group"> <label for="dataset" class="col-xs-1 control-label" style="width: 65px !important;">Dataset:</label> - <div class="col-xs-10 controls input-append" style="display: flex; padding-left: 20px;"> + <div class="col-xs-10 controls" style="display: flex; padding-left: 20px;"> <div class="col-9"> - <select name="dataset" id="dataset" class="form-control" style="width: 340px !important;"></select> + <select name="dataset" id="dataset" class="form-control" style="max-width: 550px; width: 450px !important;"><option>Loading...</option></select> <i class="icon-question-sign"></i> </div> - <div class="col-3" style="margin-left: 10px;"> - <button type="button" id="dataset_info" class="btn btn-primary form-control" style="width: 75px !important;">Info</button> - </div> </div> </div> @@ -115,10 +112,13 @@ <div class="form-group"> <label for="btsearch" class="col-xs-1 control-label" style="width: 65px !important;"></label> - <div class="col-xs-10 controls" style="padding-left: 20px;"> - <div class="col-2 controls" style="width: 100px !important;"> + <div class="col-xs-10 controls" style="display: flex; padding-left: 20px;"> + <div class="col-2 controls"> <input id="btsearch" type="submit" class="btn btn-primary form-control" value="Search"> </div> + <div class="col-2 controls" style="padding-left: 20px;"> + <button type="button" id="make_default" class="btn btn-primary form-control">Make Default</button> + </div> </div> </div> @@ -138,20 +138,37 @@ <h2>Advanced commands</h2> </div> - <p>You can also use advanced commands. Copy these simple examples into the Get Any or Combined search fields:</p> + <p>You can also use advanced commands. Copy these simple examples into the Get Any field for single term searches and Combined for searches with multiple terms:</p> <ul> <li><b>POSITION=(chr1 25 30)</b> finds genes, markers, or transcripts on chromosome 1 between 25 and 30 Mb.</li> - <li><b>MEAN=(15 16) LRS=(23 46)</b> in the <b>Combined</b> field finds - highly expressed genes (15 to 16 log2 units) AND with peak <a href="http://www.genenetwork.org/glossary.html#L">LRS</a> - linkage between 23 and 46.</li> + <li><b>MEAN=(15 16)</b> in the <b>Combined</b> field finds + highly expressed genes (15 to 16 log2 units)</li> + + <li><b>RANGE=(1.5 2.5)</b> in the <b>Any</b> field finds traits with values with a specified fold-range (minimum = 1). + Useful for finding "housekeeping genes" <b>(1.0 1.2)</b> or highly variable molecular assays <b>(10 100)</b>.</li> + + <li><b>LRS=(15 1000)</b> or <b>LOD=(2 8)</b> finds all traits with peak LRS or LOD scores between lower and upper limits.</li> + + <li><b>LRS=(9 999 Chr4 122 155)</b> finds all traits on Chr 4 from 122 and 155 Mb with LRS scores between 9 and 999.</li> + + <li><b>cisLRS=(15 1000 5)</b> or <b>cisLOD=(2 8 5)</b> finds all cis eQTLs with peak LRS or LOD scores between lower and upper limits, + with an <b>inclusion</b> zone of 5 Mb around the parent gene.</li> + + <li><b>transLRS=(15 1000 5)</b> or <b>transLOD=(2 8 5)</b> finds all trans eQTLs with peak LRS or LOD scores between lower and upper limits, + with an <b>exclusion</b> zone of 5 Mb around the parent gene. You can also add a fourth term specifying which chromosome you want the transLRS to be on + (for example transLRS=(15 1000 5 7) would find all trans eQTLs with peak LRS on chromosome 7 that is also a trans eQTL with exclusionary zone of 5Mb).</li> + + <li><b>POSITION=(Chr4 122 130) cisLRS=(9 999 10)</b> + finds all traits on Chr 4 from 122 and 155 Mb with cisLRS scores + between 9 and 999 and an inclusion zone of 10 Mb.</li> <li><b>RIF=mitochondrial</b> searches RNA databases for <a href="https://en.wikipedia.org/wiki/GeneRIF"> GeneRIF</a> links.</li> - <li><b>WIKI=nicotine</b> searches <a href="http://www.genenetwork.org/webqtl/main.py?FormID=geneWiki"> + <li><b>WIKI=nicotine</b> searches <a href="http://gn1.genenetwork.org/webqtl/main.py?FormID=geneWiki"> GeneWiki</a> for genes that you or other users have annotated with the word <i>nicotine</i>.</li> @@ -159,38 +176,49 @@ <a href="http://amigo.geneontology.org/amigo/medial_search?q=GO%3A0045202"> Gene Ontology</a>.</li> - <li><b>GO:0045202 LRS=(9 99 Chr4 122 155) cisLRS=(9 999 10)</b> - finds synapse-associated genes with <a href="http://www.genenetwork.org/glossary.html#E"> - cis eQTL</a> on Chr 4 from 122 and 155 Mb with LRS scores - between 9 and 999.</li> - <li><b>RIF=diabetes LRS=(9 999 Chr2 100 105) transLRS=(9 999 10)</b> - finds diabetes-associated transcripts with peak <a href="http://www.genenetwork.org/glossary.html#E"> + finds diabetes-associated transcripts with peak <a href="http://gn1.genenetwork.org/glossary.html#E"> trans eQTLs</a> on Chr 2 between 100 and 105 Mb with LRS scores between 9 and 999.</li> </ul> </section> </div> - <div style="padding-left:120px" class="col-xs-4" style="width: 600px !important;"> - <section id="websites"> - <div class="page-header"> - <h1>Github</h1> + <div style="padding-left:80px" class="col-xs-4" style="width: 600px !important;"> + <section id="affiliates"> + <div class="page-header"> + <h1>Affiliates</h1> + <ul> + <li><b><a href="http://gn1.genenetwork.org">GeneNetwork 1</a> at UTHSC</b></li> + <li><a href="http://ucscbrowser.genenetwork.org/">Genome Browser</a> at UTHSC</li> + <li><a href="https://systems-genetics.org/">Systems Genetics</a> at EPFL</li> + <li><a href="http://bnw.genenetwork.org/">Bayesian Network Web Server</a> at UTHSC</li> + <li><a href="https://www.geneweaver.org/">GeneWeaver</a></li> + <li><a href="https://phenogen.org/">PhenoGen</a> at University of Colorado</li> + <li><a href="http://www.webgestalt.org/">WebGestalt</a> at Baylor</li> + </ul> </div> - <ul> - <li><a href="https://github.com/genenetwork/genenetwork2">GN2 Source Code</a></li> - <li><a href="https://github.com/genenetwork/sysmaintenance">System Maintenance Code</a></li> - <li><a href="https://github.com/genenetwork/genenetwork">GN1 Source Code</a></li> - </ul> - </section> + </section> <section id="news-section"> <div class="page-header"> <h1>News</h1> + <div id="tweets" style="height: 300px; overflow: scroll; overflow-x: hidden;"></div> + <div align="right"> + <a href="https://twitter.com/GeneNetwork2">more news items...</a> + </div> </div> - <div id="tweets"></div> - <div align="right"> - <a href="https://twitter.com/GeneNetwork2">more news items...</a> + </section> + <section id="websites"> + <div class="page-header"> + <h1>Github</h1> + <ul> + <li><a href="https://github.com/genenetwork/genenetwork2">GN2 Source Code</a></li> + <li><a href="https://github.com/genenetwork/genenetwork">GN1 Source Code</a></li> + <!--<li><a href="https://github.com/genenetwork/gn-docs/wiki">GN2 Document Wiki</a></li>--> + <li><a href="https://github.com/genenetwork/sysmaintenance">System Maintenance Code</a></li> + </ul> </div> + </section> <!-- <section id="tour-info"> <div class="page-header"> @@ -217,37 +245,25 @@ and advice on their use and citation.</p> </section> - --> - </section> + </section> + --> <section id="websites"> <div class="page-header"> <h1>Links</h1> </div> <h3>GeneNetwork v2:</h3> <ul> - <li><a href="http://gn2.genenetwork.org/">Main website</a> at UTHSC</li> - <li><a href="http://test-gn2.genenetwork.org/">Testing website</a> at UTHSC</li> + <li><a href="http://genenetwork.org/">Main website</a> at UTHSC</li> + <!--<li><a href="http://test-genenetwork.org/">Testing website</a> at UTHSC</li>--> </ul> <h3>GeneNetwork v1:</h3> <ul> - <li><a href="http://www.genenetwork.org/">Main website</a> at UTHSC</li> - <li><a href="http://genenetwork.helmholtz-hzi.de/">Website</a> at the HZI (Germany)</li> - <li><a href="http://ec2.genenetwork.org/">Amazon + <li><a href="http://gn1.genenetwork.org/">Main website</a> at UTHSC</li> + <li><a href="http://artemis.uthsc.edu/">Time Machine</a>: Full GN versions from 2009 to 2016 (mm9)</li> Cloud (EC2)</a></li> - </ul> - <h3>Affiliates</h3> - <ul> - <li><a href="http://ucscbrowser.genenetwork.org/">Genome - browser</a> at UTHSC</li> - - <li><a href="http://galaxy.genenetwork.org/">Galaxy</a> at - UTHSC</li> - </ul> - - - + <script type="text/javascript" src="//rf.revolvermaps.com/0/0/8.js?i=526mdlpknyd&m=0&c=ff0000&cr1=ffffff&f=arial&l=33" async="async"></script> </section> <!--<section id="getting-started"> @@ -274,7 +290,7 @@ <li>Select a <b>Dataset</b></li> <li>Enter terms in the search field: words, - genes, ID numbers, probes, advanced search commands</li> + genes, probes, advanced search commands</li> <li>Click the <b>Search</b> button</li> @@ -283,7 +299,7 @@ <h3>User Guide</h3> <h5>Read the - <a href="http://www.genenetwork.org/index4.html"> + <a href="http://gn1.genenetwork.org/index4.html"> user guide</a>.</h5> </section>--> @@ -300,11 +316,12 @@ function pressed(e) { // Has the enter key been pressed? if ( (window.event ? event.keyCode : e.which) == 13) { + e.preventDefault(); // If enter key has been pressed and the search fields are non-empty - // manually submit the <form> - if( event.target.value.trim() != "" ) { - document.forms[1].submit(); - } + // manually submit the <form> + if( event.target.value.trim() != "" ) { + document.forms[1].submit(); + } } } </script> @@ -319,7 +336,7 @@ "enableLinks": true, "showUser": false, "showTime": true, - "showImages": false, + "showImages": true, "lang": 'en' }; twitterFetcher.fetch(configProfile); diff --git a/wqflask/wqflask/templates/loading.html b/wqflask/wqflask/templates/loading.html index 46136ddb..49bcbff7 100644 --- a/wqflask/wqflask/templates/loading.html +++ b/wqflask/wqflask/templates/loading.html @@ -1,20 +1,39 @@ -<title>Loading Mapping Results</title> +<title>Loading {{ start_vars.tool_used }} Results</title> <link REL="stylesheet" TYPE="text/css" href="/static/packages/bootstrap/css/bootstrap.css" /> -<form method="post" action="/marker_regression" name="loading_form" id="loading_form" class="form-horizontal"> +<form method="post" action="" name="loading_form" id="loading_form" class="form-horizontal"> {% for key, value in start_vars.iteritems() %} <input type="hidden" name="{{ key }}" value="{{ value }}"> {% endfor %} <div class="container"> <div> - <div style="min-height: 80vh; display: flex; align-items: center;"> - <div class="center-block" style="margin-left: 38%; margin-right: 38%; position: absolute; height:50px; width:24%; top:40%;"> - <h1>Loading Mapping Results...</h1> + <div style="min-height: 80vh; display: flex; align-items: center; text-align: center;"> + <div style="margin-bottom: 5px; left: 50%; margin-right: -50%; margin-top: 10%; transform: translate(-50%, -50%); position: absolute;"> + {% if start_vars.tool_used == "Mapping" %} + <h1>Computing the Maps</h1> + <br> + <i>n</i> = {{ start_vars.num_vals }} + <br> + Method = {% if start_vars.method == "gemma" %}GEMMA{% else %}{{ start_vars.method }}{% endif %} + <br> + {% if start_vars.transform != "" %} + transform = {{ start_vars.transform }} + <br> + {% endif %} + MAF >= {{ start_vars.maf }} + {% else %} + <h1>Loading {{ start_vars.tool_used }} Results...</h1> + {% endif %} + <br><br> + <img align="center" src="/static/gif/89.gif"> </div> - </div> - <div style="min-height: 80vh; display: flex; align-items: center;"> + <!--<div style="margin-left: auto; margin-right: auto; display: block; width: 50%; top:50%;"> + <img align="center" src="/static/gif/89.gif"> + </div>--> + <!-- <div class="progress center-block" style="margin-left: 25%; margin-right: 25%; position: absolute; height:50px; width:50%; top:50%;"> <div class="progress-bar progress-bar-striped active" role="progressbar" aria-valuenow="100" aria-valuemin="0" aria-valuemax="100" style="width:100%;"></div> </div> + --> </div> </div> </div> @@ -22,5 +41,7 @@ <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.10.2/jquery.min.js"></script> <script src="/static/packages/bootstrap/js/bootstrap.min.js"></script> <script type="text/javascript"> -$("#loading_form").submit(); + +$("#loading_form").attr("action", "{{ start_vars.form_url }}"); +setTimeout(function(){ $("#loading_form").submit()}, 350); </script>
\ No newline at end of file diff --git a/wqflask/wqflask/templates/mapping_error.html b/wqflask/wqflask/templates/mapping_error.html new file mode 100644 index 00000000..884d4df8 --- /dev/null +++ b/wqflask/wqflask/templates/mapping_error.html @@ -0,0 +1,20 @@ +{% extends "base.html" %} +{% block title %}Error{% endblock %} +{% block content %} +<!-- Start of body --> + {{ header("An error occurred during mapping") }} + + <div class="container"> + <h3> + <p>There is likely an issue with the genotype file associated with this group/RISet. Please contact Zach Sloan (zachary.a.sloan@gmail.com) or Arthur Centeno (acenteno@gmail.com) about the data set in question.</p> + </h3> + <br> + <h3> + <p>Try mapping using interval mapping instead; some genotype files with many columns of NAs have issues with GEMMA or R/qtl.</p> + </h3> + </div> + + +<!-- End of body --> + +{% endblock %} diff --git a/wqflask/wqflask/templates/marker_regression_gn1.html b/wqflask/wqflask/templates/mapping_results.html index fd083983..7e05be18 100644 --- a/wqflask/wqflask/templates/marker_regression_gn1.html +++ b/wqflask/wqflask/templates/mapping_results.html @@ -3,25 +3,40 @@ {% block css %} <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" /> <link rel="stylesheet" type="text/css" href="/static/packages/DT_bootstrap/DT_bootstrap.css" /> + <link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.3.1/css/all.css" integrity="sha384-mzrmE5qonljUremFsqc01SB46JvROS7bZs3IO2EmfFsd15uHvIt+Y8vEf7N7fWAU" crossorigin="anonymous"> + <link rel="stylesheet" type="text/css" href="/static/packages/purescript_genome_browser/css/purescript-genetics-browser.css" /> <link rel="stylesheet" type="text/css" href="/static/new/css/marker_regression.css" /> - <link rel="stylesheet" type="text/css" href="/static/new/css/panelutil.css" /> + {% endblock %} {% from "base_macro.html" import header %} {% block content %} - <div class="container"> - <form method="post" target="_blank" action="/marker_regression" name="marker_regression" id="marker_regression_form"> + <div class="container" style="min-width: 900px;"> + <form method="post" target="_blank" action="/run_mapping" name="marker_regression" id="marker_regression_form"> <input type="hidden" name="temp_uuid" value="{{ temp_uuid }}"> + {% if temp_trait is defined %} + <input type="hidden" name="temp_trait" value="{{ temp_trait }}"> + <input type="hidden" name="group" value="{{ group }}"> + {% endif %} <input type="hidden" name="trait_id" value="{{ this_trait.name }}"> <input type="hidden" name="dataset" value="{{ dataset.name }}"> <input type="hidden" name="genofile" value="{{ genofile_string }}"> <input type="hidden" name="geno_db_exists" value="{{ geno_db_exists }}"> + <input type="hidden" name="first_run" value="{{ first_run }}"> + {% if output_files is defined %} + <input type="hidden" name="output_files" value="{{ output_files }}"> + {% endif %} + {% if reaper_version is defined %} + <input type="hidden" name="reaper_version" value="{{ reaper_version }}"> + {% endif %} <input type="hidden" name="results_path" value="{{ mapping_results_path }}"> <input type="hidden" name="method" value="{{ mapping_method }}"> + <input type="hidden" name="samples" value="{{ samples|join(",") }}"> {% for sample in samples %} <input type="hidden" name="value:{{ sample }}" value="{{ vals[loop.index - 1] }}"> {% endfor %} - <input type="hidden" name="maf"> + <input type="hidden" name="num_vals" value="{{ n_samples }}"> + <input type="hidden" name="maf" value="{{ maf }}"> <input type="hidden" name="use_loco" value="{{ use_loco }}"> <input type="hidden" name="selected_chr" value="{{ selectedChr }}"> <input type="hidden" name="manhattan_plot" value="{{ manhattan_plot }}"> @@ -30,10 +45,14 @@ <input type="hidden" name="num_bootstrap" value="{{ nboot }}"> <input type="hidden" name="do_control" value="{{ doControl }}"> <input type="hidden" name="control_marker" value="{{ controlLocus }}"> - <input type="hidden" name="covariates" values="{{ covariates }}"> + <input type="hidden" name="covariates" value="{{ covariates }}"> <input type="hidden" name="mapmethod_rqtl_geno" value="{{ mapmethod_rqtl_geno }}"> <input type="hidden" name="mapmodel_rqtl_geno" value="{{ mapmodel_rqtl_geno }}"> <input type="hidden" name="pair_scan" value="{{ pair_scan }}"> + <input type="hidden" name="transform" value="{{ transform }}"> + <input type="hidden" name="tool_used" value="Mapping"> + <input type="hidden" name="wanted_inputs" value=""> + <input type="hidden" name="form_url" value="/run_mapping"> <div class="container"> <div class="col-xs-5"> @@ -50,7 +69,7 @@ {% endif %} <br> <br> - <a href="javascript:export_mapping_results();" target="_blank" >Download Full Results</a> + <a id="export_mapping_results" href="#" target="_blank" >Download Full Results</a> </div> <div id="gn1_map_options" class="col-xs-5" style="outline: 3px double #AAAAAA; padding: 10px; margin: 10px;"> <div class="col-xs-8" style="padding: 0px;"> @@ -69,7 +88,7 @@ <tr> <td><b>View: </b></td> <td style="padding: 5px;"> - <input type="text" name="startMb" size="10" value="{% if startMb != -1 %}{{ startMb }}{% endif %}"> to <input type="text" name="endMb" size="10" value="{% if endMb != -1 %}{{ endMb }}{% endif %}"> + <input type="text" name="startMb" size="7" value="{% if startMb != -1 %}{{ startMb }}{% endif %}"> to <input type="text" name="endMb" size="7" value="{% if endMb != -1 %}{{ endMb }}{% endif %}"> </td> </tr> <tr> @@ -129,7 +148,7 @@ <span style="color:red;">*</span> <br> <input type="checkbox" name="showGenes" class="checkbox" style="display: inline; margin-top: 0px;" {% if geneChecked|upper == "ON" %}value="ON" checked{% endif %}> <span style="font-size: 12px;">Gene Track </span> <span style="color:red;">*</span><br> - {% if plotScale != "morgan" and mapping_method != "gemma" and mapping_method != "plink" %} + {% if plotScale != "morgan" %} <input type="checkbox" name="haplotypeAnalystCheck" class="checkbox" style="display: inline; margin-top: 0px;" {% if haplotypeAnalystChecked|upper == "ON" %}value="ON" checked{% endif %}> <span style="font-size: 12px;">Haplotype Analyst </span> <span style="color:red;">*</span><br> {% endif %} <input type="checkbox" name="viewLegend" class="checkbox" style="display: inline; margin-top: 0px;" {% if legendChecked|upper == "ON" %}value="ON" checked{% endif %}> <span style="font-size: 12px;">Legend </span> @@ -145,13 +164,13 @@ <li id="gn1_map_tab"> <a href="#gn1_map" data-toggle="tab" aria-expanded="true">GN1 Map</a> </li> - {% if mapping_method != "gemma" and mapping_method != "plink" %} - <li id="vector_map_tab"> - <a href="#vector_map" data-toggle="tab" {% if mapping_method != "gemma" and mapping_method != "plink" %}aria-expanded="false"{% else %}aria-expanded="true"{% endif %}>Vector Map</a> + {% if mapping_method == "gemma" or mapping_method == "reaper" %} + <li id="browser_tab"> + <a href="#browser_holder" data-toggle="tab" aria-expanded="true">Genome Browser</a> </li> {% endif %} </ul> - <div class="tab-content"> + <div class="tab-content" style="overflow-x: auto;"> <div class="tab-pane active" id="gn1_map"> <div class="qtlcharts"> {{ gifmap|safe }} @@ -160,28 +179,46 @@ <br> <span style="white-space: nowrap;">A positive additive coefficient (green line) indicates that {{ dataset.group.parlist[1] }} alleles increase trait values. In contrast, a negative additive coefficient (orange line) indicates that {{ dataset.group.parlist[0] }} alleles increase trait values.</span> {% endif %} - {% if nperm > 0 and permChecked == "ON" %} - <br><br> - <img src="/generated/{{ perm_filename }}.gif"> - <br><br> - Total of {{ nperm }} permutations <a href="javascript:export_perm_data();" target="_blank" >Download Permutation Results</a> - <br> - {% endif %} </div> </div> - {% if mapping_method != "gemma" and mapping_method != "plink" %} - <div class="tab-pane {% if mapping_method == "gemma" %}active{% endif %}" id="vector_map"> - <div id="chart_container"> - <div class="qtlcharts" id="topchart"></div> - </div> + {% if mapping_method == "gemma" or mapping_method == "reaper" %} + <div class="tab-pane" id="browser_holder" style="height: 600px;"> + <div id="browser" style="margin-right: 20px; width: 90%;"> + <div id="controls"> + <button id="scrollLeft" type="button" > + <i class="fas fa-arrow-left"></i> + </button> + <button id="scrollRight" type="button" > + <i class="fas fa-arrow-right"></i> + </button> + <button id="zoomOut" type="button" > + <i class="fas fa-search-minus"></i> + </button> + <button id="zoomIn" type="button" > + <i class="fas fa-search-plus"></i> + </button> + <button id="reset" type="button" >Reset</button> + </div> + <div id="infoBox"></div> + </div> </div> {% endif %} </div> </div> + <div> + {% if nperm > 0 and permChecked == "ON" %} + <br><br> + <div id="perm_histogram" class="barchart"></div> + <!--<img src="/generated/{{ perm_filename }}.gif">--> + <br><br> + Total of {{ nperm }} permutations <a href="javascript:;" id="download_perm" target="_blank" >Download Permutation Results</a> + <br> + {% endif %} + </div> </form> {% if selectedChr == -1 %} - <div class="container" style="padding-left: 30px; width:{% if 'additive' in trimmed_markers[0] %}45%{% else %}35%{% endif %};"> + <div class="container" style="padding-left: 30px; margin-top: 50px; position: relative;"> <h2>Mapping Statistics</h2> <br /> <button class="btn btn-default" id="select_all"><span class="glyphicon glyphicon-ok"></span> Select All</button> @@ -190,13 +227,13 @@ <button class="btn btn-default" id="add" disabled><span class="glyphicon glyphicon-plus-sign"></span> Add</button> <br /> <br /> - <div id="table_container" style="border-style: solid; border-width: 1px; border-color: black;"> - <table id="trait_table" class="table table-hover table-striped nowrap"> + <div id="table_container" style="width:{% if 'additive' in trimmed_markers[0] %}500{% else %}470{% endif %}px;"> + <table id="trait_table" class="table-hover table-striped cell-border dataTable no-footer"> <thead> <tr> <th></th> <th>Row</th> - <th>Locus</th> + <th>Marker</th> <th>{{ LRS_LOD }}</th> <th>Chr</th> {% if plotScale != "physic" %} @@ -215,7 +252,7 @@ <tbody> {% for marker in trimmed_markers %} <tr> - <td align="center" style="padding-right: 0px;"> + <td align="center" style="padding: 1px 0px 1px 0px;"> <input type="checkbox" name="selectCheck" class="checkbox trait_checkbox" value="{{ data_hmac('{}:{}Geno'.format(marker.name, dataset.group.name)) }}"> @@ -226,11 +263,11 @@ {% if 'lod_score' in marker %} <td align="right">{{ '%0.2f' | format(marker.lod_score|float) }}</td> {% else %} - <td align="right">{{ '%0.2f' | format(marker.lrs_value|float / 4.16) }}</td> + <td align="right">{{ '%0.2f' | format(marker.lrs_value|float / 4.61) }}</td> {% endif %} {% else %} {% if 'lod_score' in marker %} - <td align="right">{{ '%0.2f' | format(marker.lod_score|float * 4.16) }}</td> + <td align="right">{{ '%0.2f' | format(marker.lod_score|float * 4.61) }}</td> {% else %} <td align="right">{{ '%0.2f' | format(marker.lrs_value|float) }}</td> {% endif %} @@ -257,7 +294,7 @@ <div style="width: 100%;"> <h2>Interval Analyst</h2> <div id="table_container"> - <table id="interval_analyst" class="table table-hover table-striped nowrap"> + <table id="trait_table" class="table-hover table-striped cell-border dataTable" style="float: left; width:100%;"> <thead> <tr> {% for header in gene_table_header %} @@ -269,7 +306,11 @@ {% for row in gene_table_body %} <tr> {% for n in range(row|length) %} + {% if n == 0 %} + <td align="center" style="padding: 1px 0px 1px 0px;">{{ row[n]|safe }}</td> + {% else %} <td>{{ row[n]|safe }}</td> + {% endif %} {% endfor %} </tr> {% endfor %} @@ -290,61 +331,38 @@ <script type="text/javascript" src="/static/new/js_external/underscore-min.js"></script> <script type="text/javascript" src="/static/new/js_external/underscore.string.min.js"></script> <script type="text/javascript" src="/static/new/js_external/d3-tip.min.js"></script> + <script type="text/javascript" src="/static/new/js_external/plotly-latest.min.js"></script> <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/1.10.12/js/jquery.dataTables.min.js"></script> <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/buttons/1.0.0/js/dataTables.buttons.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.scientific.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.naturalSort.js"></script> + <script language="javascript" type="text/javascript" src="/static/packages/purescript_genome_browser/js/purescript-genetics-browser.js"></script> - {% if mapping_method != "gemma" and mapping_method != "plink" %} <script> js_data = {{ js_data | safe }} </script> - {% endif %} <script language="javascript" type="text/javascript" src="/static/new/javascript/search_results.js"></script> - {% if mapping_method != "gemma" and mapping_method != "plink" %} - <script language="javascript" type="text/javascript" src="/static/new/javascript/panelutil.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/javascript/chr_lod_chart.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/javascript/lod_chart.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/javascript/create_lodchart.js"></script> + {% if mapping_method == "gemma" or mapping_method == "reaper" %} + <script language="javascript" type="text/javascript" src="/static/new/javascript/init_genome_browser.js"></script> {% endif %} <script type="text/javascript" charset="utf-8"> $(document).ready( function () { console.time("Creating table"); + {% if selectedChr == -1 %} $('#trait_table').DataTable( { - {% if mapping_method != "reaper" %} - "columns": [ - { "type": "natural", "width": "5%" }, - { "type": "natural", "width": "8%" }, - { "type": "natural", "width": "20%" }, - { "type": "natural", "width": "8%" }, - { "type": "natural", "width": "8%" }, - { "type": "natural", "width": "15%" } - ], - {% elif dataset.group.genetic_type == "riset" %} - "columns": [ - { "type": "natural", "width": "5%" }, - { "type": "natural", "width": "8%" }, - { "type": "natural", "width": "20%" }, - { "type": "natural", "width": "8%" }, - { "type": "natural", "width": "8%" }, - { "type": "natural", "width": "15%" }, - { "type": "natural", "width": "8%" } - ], - {% else %} "columns": [ { "type": "natural", "width": "5%" }, { "type": "natural", "width": "8%" }, - { "type": "natural", "width": "20%" }, - { "type": "natural", "width": "8%" }, - { "type": "natural", "width": "8%" }, - { "type": "natural", "width": "15%" }, - { "type": "natural", "width": "8%" }, - { "type": "natural", "width": "8%" } + { "type": "natural", "width": "25%" }, + { "type": "natural" }, + { "type": "natural" }, + { "type": "natural" }{% if 'additive' in qtlresults[0] %}, + { "type": "natural" }{% endif %}{% if 'dominance' in qtlresults[0] and dataset.group.genetic_type != "riset" %}, + { "type": "natural" }{% endif %} ], - {% endif %} "columnDefs": [ { "targets": 0, "orderable": false @@ -355,13 +373,34 @@ "autoWidth": false, "deferRender": true, "bSortClasses": false, - "scrollY": "600px", "scrollCollapse": false, - "scroller": true, "paging": false } ); - - $('#interval_analyst').dataTable( { + {% elif selectedChr != -1 and plotScale =="physic" and (dataset.group.species == 'mouse' or dataset.group.species == 'rat') %} + $('#trait_table').dataTable( { + "createdRow": function ( row, data, index ) { + $('td', row).eq(1).attr("align", "right"); + $('td', row).eq(3).attr("align", "right"); + $('td', row).eq(4).attr("align", "right"); + $('td', row).eq(5).attr("align", "right"); + $('td', row).eq(6).attr("align", "right"); + $('td', row).eq(7).attr("align", "right"); + $('td', row).eq(8).attr("align", "center"); + $('td', row).eq(9).attr("align", "right"); + }, + "columns": [ + { "bSortable": false}, + { "type": "natural" }, + { "type": "natural" }, + { "type": "natural" }, + { "type": "natural" }, + { "type": "natural" }, + { "type": "natural" }, + { "type": "natural" }, + { "type": "natural" }, + { "type": "natural" }, + { "type": "natural" } + ], "columnDefs": [ { "targets": 0, "sortable": false @@ -372,10 +411,10 @@ "autoWidth": false, "deferRender": true, "bSortClasses": false, - "scrollY": "600px", "scrollCollapse": false, "paging": false } ); + {% endif %} $('#vector_map_tab').click(function(){ $('div#gn1_map_options').hide(); @@ -387,10 +426,19 @@ }); + var mapping_input_list = ['temp_uuid', 'trait_id', 'dataset', 'tool_used', 'form_url', 'method', 'transform', 'trimmed_markers', 'selected_chr', 'chromosomes', 'mapping_scale', + 'score_type', 'suggestive', 'significant', 'num_perm', 'permCheck', 'perm_output', 'perm_strata', 'categorical_vars', 'num_bootstrap', 'bootCheck', 'bootstrap_results', + 'LRSCheck', 'covariates', 'maf', 'use_loco', 'manhattan_plot', 'control_marker', 'control_marker_db', 'do_control', 'genofile', + 'pair_scan', 'startMb', 'endMb', 'graphWidth', 'lrsMax', 'additiveCheck', 'showSNP', 'showGenes', 'viewLegend', 'haplotypeAnalystCheck', + 'mapmethod_rqtl_geno', 'mapmodel_rqtl_geno', 'temp_trait', 'group', 'species', 'reaper_version', 'primary_samples', 'num_vals'] + + $('input[name=wanted_inputs]').val(mapping_input_list.join(",")); + chrView = function(this_chr, chr_mb_list) { $('input[name=selected_chr]').val(this_chr) $('input[name=chr_mb_list]').val(chr_mb_list) + $('#marker_regression_form').attr('action', '/loading'); return $('#marker_regression_form').submit(); }; @@ -400,24 +448,86 @@ $('input[name=endMb]').val(end_mb) //$('input[name=mb_range]').val(start_mb + "," + end_mb) + $('#marker_regression_form').attr('action', '/loading'); return $('#marker_regression_form').submit(); }; remap = function() { $('input[name=selected_chr]').val($('select[name=chromosomes]').val()); + $('#marker_regression_form').attr('action', '/loading'); return $('#marker_regression_form').submit(); }; {% if mapping_method != "gemma" and mapping_method != "plink" %} - export_perm_data = function() { - var num_perm, perm_data; + $('#download_perm').click(function(){ + var num_perm, perm_data; num_perm = js_data.num_perm perm_data = js_data.perm_results json_perm_data = JSON.stringify(perm_data); $('input[name=perm_results]').val(json_perm_data); $('#marker_regression_form').attr('action', '/export_perm_data'); return $('#marker_regression_form').submit(); + }); + + modebar_options = { + modeBarButtonsToAdd:[{ + name: 'Export as SVG', + icon: Plotly.Icons.disk, + click: function(gd) { + Plotly.downloadImage(gd, {format: 'svg'}) + } + }], + modeBarButtonsToRemove:['toImage', 'sendDataToCloud', 'hoverClosest', 'hoverCompare', 'hoverClosestCartesian', 'hoverCompareCartesian', 'lasso2d', 'toggleSpikelines'], + displaylogo: false + //modeBarButtons:['toImage2', 'zoom2d', 'pan2d', 'select2d', 'zoomIn2d', 'zoomOut2d', 'autoScale2d', 'resetScale2d'], } + + perm_data = js_data.perm_results + var hist_trace = { + x: perm_data, + type: 'histogram' + }; + histogram_data = [hist_trace]; + histogram_layout = { + bargap: 0.05, + title: "<b>Histogram of Permutation Test</b>", + xaxis: { + autorange: true, + title: "<b>{{ LRS_LOD }}</b>", + titlefont: { + family: "arial", + size: 20 + }, + ticklen: 4, + tickfont: { + size: 16 + } + }, + yaxis: { + autorange: true, + title: "<b>Count</b>", + titlefont: { + family: "arial", + size: 20 + }, + showline: true, + ticklen: 4, + tickfont: { + size: 16 + }, + automargin: true + }, + width: 500, + height: 300, + margin: { + l: 70, + r: 30, + t: 100, + b: 50 + } + }; + + Plotly.newPlot('perm_histogram', histogram_data, histogram_layout, modebar_options); {% endif %} export_mapping_results = function() { @@ -425,6 +535,14 @@ return $('#marker_regression_form').submit(); } + $('#export_mapping_results').click(export_mapping_results); + + $('#browser_tab').click(function() { + $('#gn1_map_options').css("display", "none") + }) + $('#gn1_map_tab').click(function() { + $('#gn1_map_options').css("display", "block") + }) </script> {% endblock %} diff --git a/wqflask/wqflask/templates/network_graph.html b/wqflask/wqflask/templates/network_graph.html index ad5dee9d..25af7bb1 100644 --- a/wqflask/wqflask/templates/network_graph.html +++ b/wqflask/wqflask/templates/network_graph.html @@ -10,10 +10,9 @@ </style> {% endblock %} {% block content %} - - {{ header("Network Graph") }} - <div class="container-fluid"> + <h1>Network Graph</h1> + <hr style="height: 1px; background-color: #A9A9A9;"> <div class="row" > <div id="content"> <div id="secondaryContent" class="col-xs-3"> @@ -35,7 +34,11 @@ <select name="focus_select"> <option disabled selected value>Select Trait</option> {% for trait in traits %} + {% if trait.symbol == None %} + <option value="{{ trait.name }}:{{ trait.dataset.name }}">{{ trait.name }}</option> + {% else %} <option value="{{ trait.name }}:{{ trait.dataset.name }}">{{ trait.symbol }} ({{ trait.name }})</option> + {% endif %} {% endfor %} </select> </td> @@ -47,19 +50,23 @@ </tr> <tr> <td colspan="1"> - <font size="2"><b>0 - - +/- 1</b></font><br> - <input type="range" id="slide" min="0" max="1" value="0" step="0.001" list="corr_range"> - </td> - </tr> - <tr> - <td> - Layouts + <div style="text-align: center;"> + <div style="float: left;"><font size="2"><b>-1</b></font></div> + <font size="2"><b>0</b></font> + <div style="float: right;"><font size="2"><b>1</b></font></div> + </div> + <!-- + <font size="2"><b>-1 + 0 + 1</b></font><br> + --> + <input type="range" id="neg_slide" min="-1" max="0" value="0" step="0.001" list="corr_range" style="display: inline; width: 49%"> + <input type="range" id="pos_slide" min="0" max="1" value="0" step="0.001" list="corr_range" style="display: inline; width: 49%"> </td> </tr> <tr> <td> + Layouts: <select name="layout_select"> <option value="circle">Circle</option> <option value="concentric">Concentric</option> @@ -70,6 +77,39 @@ </select> </td> </tr> + <tr> + <td> + Node Font Size: + <select name="font_size"> + <option value="6">6</option> + <option value="7">7</option> + <option value="8">8</option> + <option value="9">9</option> + <option value="10" selected>10</option> + <option value="11">11</option> + <option value="12">12</option> + <option value="13">13</option> + <option value="14">14</option> + <option value="15">15</option> + <option value="16">16</option> + <option value="17">17</option> + <option value="18">18</option> + </select> + </td> + <td> + </tr> + <tr> + <td> + Edge Width: + <select name="edge_width"> + <option value="1" selected>1x</option> + <option value="2">2x</option> + <option value="3">3x</option> + <option value="4">4x</option> + </select> + </td> + <td> + </tr> </tbody> </table> <h3 style="margin-bottom: 5px;"> Download</h3> @@ -97,6 +137,7 @@ <script> elements_list = {{ elements | safe }} + gn2_url = "{{ gn2_url | safe }}" </script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.js"></script> diff --git a/wqflask/wqflask/templates/new_security/forgot_password.html b/wqflask/wqflask/templates/new_security/forgot_password.html index 39e51f96..a981b6bd 100644 --- a/wqflask/wqflask/templates/new_security/forgot_password.html +++ b/wqflask/wqflask/templates/new_security/forgot_password.html @@ -2,29 +2,19 @@ {% block title %}Forgot Password{% endblock %} {% block content %} - {{ header("Forgot Password", "Easily reset your password.") }} - <div class="container"> <div class="page-header"> <h1>Password Reset</h1> </div> - <div class="security_box"> - <h4>Enter your email address</h4> - - <h5>And we'll send you a link to reset your password</h5> - - + <h4>Enter your email address and we'll send you a link to reset your password</h4> <form class="form-horizontal" action="/n/forgot_password_submit" method="POST" name="login_user_form"> <fieldset> - - <div class="control-group"> - <label class="control-label" for="email_address">Email Address</label> <div class="controls"> <input id="email_address" class="focused" name="email_address" type="text" value=""> </div> @@ -32,7 +22,7 @@ <div class="control-group"> - <div class="controls"> + <div class="controls" style="margin-top: 10px;"> <input id="next" name="next" type="hidden" value=""> <input class="btn btn-primary" id="submit" name="submit" type="submit" value="Send link"> diff --git a/wqflask/wqflask/templates/new_security/login_user.html b/wqflask/wqflask/templates/new_security/login_user.html index 27b20ebf..80fed82a 100644 --- a/wqflask/wqflask/templates/new_security/login_user.html +++ b/wqflask/wqflask/templates/new_security/login_user.html @@ -2,56 +2,15 @@ {% block title %}Register{% endblock %} {% block content %} - <div class="container"> + <div class="container" style="min-width: 1250px;"> {{ flash_me() }} - <div class="page-header"> - <h1> Login</h1> - </div> - - - <div class="security_box"> - - <h4>Don't have an account?</h4> - - {% if es_server: %} - <a href="/n/register" class="btn btn-primary modalize">Create a new account</a> - {% else: %} - <div class="alert alert-warning"> - <p>You cannot create an account at this moment.<br /> - Please try again later.</p> - </div> - {% endif %} + <h4>Already have an account? Sign in here.</h4> - <hr /> - <h4>Login with external services</h4> - - {% if external_login: %} - <div> - {% if external_login["github"]: %} - <a href="{{external_login['github']}}" title="Login with GitHub" class="btn btn-info btn-group">Login with Github</a> - {% else %} - <p>Github login is not available right now</p> - {% endif %} - - {% if external_login["orcid"]: %} - <a href="{{external_login['orcid']}}" title="Login with ORCID" class="btn btn-info btn-group">Login with ORCID</a> - {% else %} - <p>ORCID login is not available right now</p> - {% endif %} - </div> - {% else: %} - <div class="alert alert-warning"> - <p>Sorry, you cannot login with Github or ORCID at this time.</p> - </div> - {% endif %} - <hr /> - - <h4>Already have an account? Sign in here.</h4> - - {% if es_server: %} + {% if redis_is_available: %} <form class="form-horizontal" action="/n/login" method="POST" name="login_user_form" id="loginUserForm"> + <input name="anon_id" type="hidden" value="{{ g.user_session.user_id }}"> <fieldset> <div class="form-group"> <label style="text-align:left;" class="col-xs-1 control-label" for="email_address">Email Address</label> @@ -69,7 +28,6 @@ </div> </div> - <div class="form-group"> <label class="col-xs-1 control-label" for="remember"></label> <div style="margin-left:20px;" class="col-xs-4 controls"> @@ -87,16 +45,52 @@ </div> </fieldset> + <div class="security_box"> + + <h4>Don't have an account?</h4> + + {% if redis_is_available: %} + <a href="/n/register" class="btn btn-primary modalize">Create a new account</a> + {% else %} + <div class="alert alert-warning"> + <p>You cannot create an account at this moment.<br /> + Please try again later.</p> + </div> + {% endif %} + + <hr /> + <h4>Login with external services</h4> + + {% if external_login: %} + <div> + {% if external_login["github"]: %} + <a href="{{external_login['github']}}" title="Login with GitHub" class="btn btn-info btn-group">Login with Github</a> + {% else %} + <p>Github login is not available right now</p> + {% endif %} + + {% if external_login["orcid"]: %} + <a href="{{external_login['orcid']}}" title="Login with ORCID" class="btn btn-info btn-group">Login with ORCID</a> + {% else %} + <p>ORCID login is not available right now</p> + {% endif %} + </div> + {% else: %} + <div class="alert alert-warning"> + <p>Sorry, you cannot login with Github or ORCID at this time.</p> + </div> + {% endif %} + </form> - {% else: %} + {% else: %} <div class="alert alert-warning"> <p>You cannot login at this moment using your GeneNetwork account (the authentication service is down).<br /> Please try again later.</p> - </div> + </div> {% endif %} - {% if not es_server and not external_login: %} + {% if not external_login: %} <hr> - <div class="alert alert-warning"> + <div class="alert alert-warning"> Note: it is safe to use GeneNetwork without a login. Login is only required for keeping track of collections and getting access to some types of restricted data. </div> diff --git a/wqflask/wqflask/templates/new_security/register_user.html b/wqflask/wqflask/templates/new_security/register_user.html index 998d2a7b..da74090c 100644 --- a/wqflask/wqflask/templates/new_security/register_user.html +++ b/wqflask/wqflask/templates/new_security/register_user.html @@ -42,7 +42,7 @@ <div class="control-group"> <label class="control-label" for="email_address">Email Address</label> <div class="controls"> - <input id="email_address" name="email_address" class="focused" type="text" value="{{values.email_address}}" + <input id="email_address" name="email_address" class="focused" type="text" size="50" value="{{values.email_address}}" data-trigger="change" data-required="true" data-type="email" data-maxlength="50"> </div> </div> @@ -50,7 +50,7 @@ <div class="control-group"> <label class="control-label" for="full_name">Full Name</label> <div class="controls"> - <input id="full_name" name="full_name" type="text" value="{{values.full_name}}" + <input id="full_name" name="full_name" type="text" size="50" value="{{values.full_name}}" data-trigger="change" data-required="true" data-minlength="5" data-maxlength="50"> </div> </div> @@ -58,14 +58,14 @@ <div class="control-group"> <label class="control-label" for="organization">Organization</label> <div class="controls"> - <input id="organization" name="organization" type="text" value="{{values.organization}}" data-minlength="3" data-maxlength="50"> + <input id="organization" name="organization" type="text" size="50" value="{{values.organization}}" data-minlength="3" data-maxlength="50"> </div> </div> <div class="control-group"> <label class="control-label" for="password">Password</label> <div class="controls"> - <input id="password" name="password" type="password" value="" + <input id="password" name="password" type="password" size="50" value="" data-trigger="change" data-required="true" data-minlength="6"> </div> </div> @@ -79,13 +79,13 @@ <div class="control-group"> <label class="control-label" for="password_confirm">Confirm Password</label> <div class="controls"> - <input id="password" name="password_confirm" type="password" value="" + <input id="password" name="password_confirm" type="password" size="50" value="" data-trigger="change" data-required="true" data-equalto="#password"> </div> </div> <div class="control-group"> - <div class="controls""> + <div class="controls" style="margin-top: 10px;"> <input class="btn btn-primary" id="submit" name="submit" type="submit" value="Create account"> </div> </div> diff --git a/wqflask/wqflask/templates/news.html b/wqflask/wqflask/templates/news.html index 4f0032b8..1ec302e6 100644 --- a/wqflask/wqflask/templates/news.html +++ b/wqflask/wqflask/templates/news.html @@ -5,7 +5,7 @@ {% block content %} <div class="container"> <h3>{{title}}</h3> - <table class="table table-hover table-striped" style="width: 600px;"> + <table class="table" style="width: 600px;"> <tbody> {% for newsitem in newslist %} <tr> diff --git a/wqflask/wqflask/templates/reference.html b/wqflask/wqflask/templates/reference.html index 49ccd48c..d95d22e3 100644 --- a/wqflask/wqflask/templates/reference.html +++ b/wqflask/wqflask/templates/reference.html @@ -2,7 +2,7 @@ {% block title %}References{% endblock %} {% block content %} -<P style="font-weight: Bold; font-size: 16px;" class="title">Papers and References to GeneNetwork</P> +<h2> Papers and References to GeneNetwork</A></h2> <BLOCKQUOTE> @@ -14,6 +14,9 @@ <BR> <BR> <left> +<a href="#2020">2020</a> | +<a href="#2019">2019</a> | +<a href="#2018">2018</a> | <a href="#2017">2017</a> | <a href="#2016">2016</a> | <a href="#2015">2015</a> | @@ -30,22 +33,31 @@ <a href="#2004">2004</a> | <a href="#2003">2003</a> | </left> - </BLOCKQUOTE> +<DIR> + <A HREF="https://scholar.google.com/scholar?as_q=&as_epq=&as_oq=webqtl+%22genenetwork%22&as_eq=&as_occt=any&as_sauthors=&as_publication=&as_ylo=&as_yhi=&btnG=&hl=en&as_sdt=0%2C5"target="_blank" class="fwn">Google Scholar</A> search for <I> "genenetwork" OR "webqtl" </I> generated: +<OL> +<LI>1430 hits on 2016/09/08 +<LI>1730 hits on 2017/10/17 +<LI>2020 hits on 2019/05/13) +</OL> +<A HREF="https://scholar.google.com/scholar?as_q=&as_epq=&as_oq=genenetwork.org&as_eq=&as_occt=any&as_sauthors=&as_publication=&as_ylo=&as_yhi=&btnG=&hl=en&as_sdt=0%2C5"target="_blank" class="fwn">Google Scholar</A> search for <I> "genenetwork.org" </I> generated: -<BLOCKQUOTE> - <A NAME="New" class="subtitle">Highlighted References</A> -<BLOCKQUOTE class="fs14"> +<OL> +<LI>1030 hits on 2019/05/13 +<LI> 105 hits from 2018/01/01 to 2019/05/13 +</OL> -<B><I>Please send us citations to articles that we may have missed.</I> +</DIR> -<BR> -<BR> - <A HREF="https://scholar.google.com/scholar?as_q=&as_epq=&as_oq=webqtl+%22genenetwork.org%22&as_eq=&as_occt=any&as_sauthors=&as_publication=&as_ylo=&as_yhi=&btnG=&hl=en&as_sdt=0%2C5"target="_blank" class="fwn">Google Scholar</A> search for <I> "genenetwork" OR "webqtl" </I> (1430 hits as of September 8, 2016, 1730 as of Oct 18, 2017). -</B> +<BLOCKQUOTE> + <A NAME="New" class="subtitle">Highlighted References</A> +<BLOCKQUOTE style="font-size: 14px;"> + +<B><I>Please send us citations to articles that we may have missed.</I></B> <OL> @@ -180,7 +192,7 @@ Houtkooper RH, Mouchiroud L, Ryu D, Moullan N, Katsyuba E, Knott G, Williams RW -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="Key" class="subtitle">Key References</A> <BLOCKQUOTE > @@ -264,20 +276,70 @@ Zhang B, Schmoyer D, Kirov S, Snoddy J (<a href="http://www.pubmedcentral.nih.go </OL> </Blockquote> +<BLOCKQUOTE style="font-size: 14px;"> + <A NAME="2019" class="subtitle"">GeneNetwork (2019) </A> (not complete) +<BLOCKQUOTE> + +</Blockquote> +<OL> + +<LI> +Théberge ET, Baker JA, Dubose C, Boyle JK, Balce K, Goldowitz D, Hamre KM (<A HREF="https://ncbi.nlm.nih.gov/pubmed/30589433" target="_blank" class="fwn">2019</A>) Genetic influences on the amount of cell death in the neural tube of BXD mice exposed to acute ethanol at midgestation. Alcohol Clin Exp Res 43:439-452 +<LI> +Roy S, Zaman KI, Williams RW, Homayouni R (<A HREF="https://ncbi.nlm.nih.gov/pubmed/30871457" target="_blank" class="fwn">2019</A>) Evaluation of Sirtuin-3 probe quality and co-expressed genes using literature cohesion. BMC Bioinformatics 20(Suppl 2):104 + +</OL> +</Blockquote> -<BLOCKQUOTE class="fs14"> - <A NAME="2017" class="subtitle"">GeneNetwork (2017) </A> +<BLOCKQUOTE style="font-size: 14px;"> + <A NAME="2018" class="subtitle"">GeneNetwork (2018) </A> (not complete) <BLOCKQUOTE> </Blockquote> <OL> +<LI>Ashbrook DG, Mulligan MK, Williams RW Post-genomic behavioral genetics: From revolution to routine (<A HREF="https://ncbi.nlm.nih.gov/pubmed/29193773" target="_blank" class="fwn">2018</A>) Genes Brain Behav 17:e12441 +<LI> +de Vries M, Faiz A, Woldhuis RR, Postma DS, de Jong TV, Sin DD, Bossé Y, Nickle DC, Guryev V, Timens W, van den Berge M, Brandsma CA (<A HREF="https://ncbi.nlm.nih.gov/pubmed/29212667" target="_blank" class="fwn">2018</A>) Lung tissue gene-expression signature for the ageing lung in COPD. Thorax 73:609-617 +<LI> +Diessler S, Jan M, Emmenegger Y, Guex N, Middleton B, Skene DJ, Ibberson M, Burdet F, Götz L, Pagni M, Sankar M, Liechti R, Hor CN, Xenarios I, Franken P (<A HREF="https://ncbi.nlm.nih.gov/pubmed/30091978" target="_blank" class="fwn">2018</A>) A systems genetics resource and analysis of sleep regulation in the mouse. PLoS Biology 16(8):e2005750 +<LI> +King R, Struebing FL, Li Y, Wang J, Koch AA, Cooke Bailey JN, Gharahkhani P; International Glaucoma Genetics Consortium; NEIGHBORHOOD Consortium, MacGregor S, Allingham RR, Hauser MA, Wiggs JL, Geisert EE (<A HREF="https://ncbi.nlm.nih.gov/pubmed/29370175" target="_blank" class="fwn">2018</A>) Genomic locus modulating corneal thickness in the mouse identifies POU6F2 as a potential risk of developing glaucoma. PLoS Genet 14:e1007145 +<LI> +Lu Y, Zhou D, King R, Zhu S, Simpson CL, Jones BC, Zhang W, Geisert EE, Lu L (<A HREF="https://ncbi.nlm.nih.gov/pubmed/30619460" target="_blank" class="fwn">2018</A>) The genetic dissection of Myo7a gene expression in the retinas of BXD mice. Mol Vis 24:115-126 +<LI> +Struebing FL, King R, Li Y, Cooke Bailey JN; NEIGHBORHOOD consortium, Wiggs JL, Geisert EE (<A HREF="https://ncbi.nlm.nih.gov/pubmed/29421330" target="_blank" class="fwn">2018</A>) Genomic loci modulating retinal ganglion cell death following elevated IOP in the mouse. Exp Eye Res 169:61-67 + + +</OL> +</Blockquote> + + + + +<BLOCKQUOTE style="font-size: 14px;"> + <A NAME="2017" class="subtitle"">GeneNetwork (2017) </A> (not complete) +<BLOCKQUOTE> + +</Blockquote> +<OL> + +<LI> +Baker JA, Li J, Zhou D, Yang M, Cook MN, Jones BC, Mulligan MK, Hamre KM, Lu L (<A HREF="https://ncbi.nlm.nih.gov/pubmed/28027852" target="_blank" class="fwn">2017</A>) Analyses of differentially expressed genes after exposure to acute stress, acute ethanol, or a combination of both in mice. Alcohol 58:139-151 <LI> Baud A, Mulligan MK, Casale FP, Ingels JF, Bohl CJ, Callebert J, Launay JM, Krohn J, Legarra A, Williams RW, Stegle O (<A HREF="https://ncbi.nlm.nih.gov/pubmed/28121987" target="_blank" class="fwn">2017</A>) Genetic variation in the social environment contributes to health and disease. PLoS Genet 13(1):e1006498 +<LI>Brockmann GA, Arends D, Heise S, Dogan A (<A HREF="https://ncbi.nlm.nih.gov/pubmed/27933540" target="_blank" class="fwn">2017</A>) Systems genetics of obesity. Methods Mol Biol. 2017;1488:481-497 +<LI> +Grisham W, Brumberg JC, Gilbert T, Lanyon L, Williams RW, Olivo R (<A HREF="https://ncbi.nlm.nih.gov/pubmed/29371844" target="_blank" class="fwn">2017</A>) Teaching with Big Data: Report from the 2016 Society for Neuroscience Teaching Workshop. J Undergrad Neurosci Educ 16:A68-A76 +<LI> + +Jones BC, Jellen LC (<A HREF="https://ncbi.nlm.nih.gov/pubmed/27933539" target="_blank" class="fwn">2017</A>) Systems genetics analysis of iron and its regulation in brain and periphery. Methods Mol Biol 1488:467-480 <LI> Lopez MF, Miles MF, Williams RW, Becker HC (<A HREF="https://ncbi.nlm.nih.gov/pubmed/27793543" target="_blank" class="fwn">2017</A>) Variable effects of chronic intermittent ethanol exposure on ethanol drinking in a genetically diverse mouse cohort. Alcohol 58:73-82 <LI> +Parker CC, Dickson PE, Philip VM, Thomas M, Chesler EJ (<A HREF="https://ncbi.nlm.nih.gov/pubmed/28398643" target="_blank" class="fwn">2017</A>) Curr Protoc Neurosci 79:8.39.1-8.39.20 +<LI> Porcu P, O'Buckley TK, Lopez MF, Becker HC, Miles MF, Williams RW, Morrow AL (<A HREF="https://ncbi.nlm.nih.gov/pubmed/27884493" target="_blank" class="fwn">2017</A>) Initial genetic dissection of serum neuroactive steroids following chronic intermittent ethanol across BXD mouse strains. Alcohol 58:107-125 <LI> Rinker JA, Fulmer DB, Trantham-Davidson H, Smith ML, Williams RW, Lopez MF, Randall PK, Chandler LJ, Miles MF, Becker HC, Mulholland PJ (<A HREF="https://ncbi.nlm.nih.gov/pubmed/27884493" target="_blank" class="fwn">2017</A>) Differential potassium channel gene regulation in BXD mice reveals novel targets for pharmacogenetic therapies to reduce heavy alcohol drinking. Alcohol 58:33-45 @@ -290,7 +352,7 @@ van der Vaart AD, Wolstenholme JT, Smith ML, Harris GM, Lopez MF, Wolen AR, Beck -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2016" class="subtitle"">GeneNetwork (2016) </A> <BLOCKQUOTE> @@ -325,7 +387,7 @@ Williams EG, Wu Y, Jha P, Dubuis S, Blattmann P, Argmann CA, Houten SM, Amariuta -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2015" class="subtitle"">GeneNetwork (2015) </A> <BLOCKQUOTE> @@ -374,7 +436,7 @@ Williams EG, Auwerx J (<A HREF="https://ncbi.nlm.nih.gov/pubmed/26140590" target -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2014" class="subtitle"">GeneNetwork (2014) </A> <BLOCKQUOTE> @@ -471,7 +533,7 @@ Ye R, Carneiro AM, Airey D, Sanders-Bush E, Williams RW, Lu L, Wang J, Zhang B, -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2013" class="subtitle"">GeneNetwork (2013) </A> <BLOCKQUOTE> @@ -537,7 +599,7 @@ Vanderlinden LA, Saba LM, Kechris K, Miles MF, Hoffman PL, Tabakoff B (<A HREF=" -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2012" class="subtitle"">GeneNetwork (2012) </A> <BLOCKQUOTE> @@ -620,7 +682,7 @@ Zumbrun EE, Abdeltawab NF, Bloomfield HA, Chance TB, Nichols DK, Harrison PE, Ko -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2011" class="subtitle"">GeneNetwork (2011) </A> <BLOCKQUOTE> @@ -642,7 +704,7 @@ Gibson JN, Jellen LC, Unger EL, Morahan G, Mehta M, Earley CJ, Allen RP, Lu L, J <LI> Hakvoort TB, Moerland PD, Frijters R, Sokolovic A, Labruyère WT, Vermeulen JL, Ver Loren van Themaat E, Breit TM, Wittink FR, van Kampen AH, Verhoeven AJ, Lamers WH, Sokolovic M (<a href="http://www.ncbi.nlm.nih.gov/pubmed/21393243" target="_blank" class="fwn" >2011</a>) Interorgan coordination of the murine adaptive response to fasting. J Biol Chem 286:16332-43 <LI> -Freeman NE, Templeton JP, Orr WE, Lu L, Williams RW, Geisert EE (2011) Genetic networks in the mouse retina: Growth Associated Protein 43 and Phosphate Tensin Homology network. Molecular Vision 17:1355-1372 <A HREF="http://www.molvis.org/molvis/v17/a153/" target="_blank" class="fs14" ><I>Full Text HTML</I> </A> and <A HREF="http://www.molvis.org/molvis/v17/a153/mv-v17-a153-freeman.pdf" target="_blank" class="fwn" ><I>PDF </I> </A> versions +Freeman NE, Templeton JP, Orr WE, Lu L, Williams RW, Geisert EE (2011) Genetic networks in the mouse retina: Growth Associated Protein 43 and Phosphate Tensin Homology network. Molecular Vision 17:1355-1372 <A HREF="http://www.molvis.org/molvis/v17/a153/" target="_blank" style="font-size: 14px;" ><I>Full Text HTML</I> </A> and <A HREF="http://www.molvis.org/molvis/v17/a153/mv-v17-a153-freeman.pdf" target="_blank" class="fwn" ><I>PDF </I> </A> versions <LI> Jablonski MM, Freeman NE, Orr WE, Templeton JP, Lu L, Williams RW, Geisert EE (<a href="http://www.ncbi.nlm.nih.gov/pubmed/20882406" target="_blank" class="fwn">2011</a>) Genetic pathways regulating glutamate levels in retinal Müller cells. Neurochem Res 36:594-603 <LI> @@ -701,7 +763,7 @@ Yamamoto H, Williams EG, Mouchiroud L, Cantó C, Fan W, Downes M, Héligon C, Ba -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2010" class="subtitle"">GeneNetwork (2010) </A> <BLOCKQUOTE> @@ -766,7 +828,7 @@ Wang X, Chen Y, Wang X, Lu L. (<a href="http://www.ncbi.nlm.nih.gov/pubmed/20054 </OL> </Blockquote> -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2009" class="subtitle"">GeneNetwork (2009) </A> <BLOCKQUOTE> @@ -856,7 +918,7 @@ Zheng QY, Ding D, Yu H, Salvi RJ, Johnson KR (<a href="http://www.ncbi.nlm.nih. </Blockquote> -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2008" class="subtitle"">GeneNetwork (2008) </A> <BLOCKQUOTE> @@ -1007,7 +1069,7 @@ Zhang Y, Maksakova IA, Gagnier L , van de Lagemaat LN, Mager DL (2008) Genome-wi -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2007" class="subtitle"">GeneNetwork (2007) </A> <BLOCKQUOTE> @@ -1138,7 +1200,7 @@ Zou W, Aylor DL, Zeng ZB (<a href="http://www.biomedcentral.com/1471-2105/8/7" </Blockquote> -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2006" class="subtitle"">GeneNetwork (2006) </A> <BLOCKQUOTE> @@ -1231,7 +1293,7 @@ Williams RW (<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&c </Blockquote> -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2005" class="subtitle"">GeneNetwork (2005) </A> <BLOCKQUOTE> @@ -1294,7 +1356,7 @@ Yang H, Crawford N, Lukes L, Finney R, Lancaster M, Hunter KW (<A HREF="http://w -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2004" class="subtitle"">GeneNetwork (2004) </A> <BLOCKQUOTE> @@ -1348,7 +1410,7 @@ Zareparsi S, Hero A, Zack DJ, Williams RW, Swaroop A (<A HREF="http://www.iovs. -<BLOCKQUOTE class="fs14"> +<BLOCKQUOTE style="font-size: 14px;"> <A NAME="2003" class="subtitle"">GeneNetwork (2003) </A> <BLOCKQUOTE> @@ -1381,51 +1443,49 @@ Rosen GD, La Porte NT, Diechtiareff B, Pung, CJ, Nissanov J, Gustafson C, Bertra </Blockquote> -<Blockquote class="fwn"><A NAME="Background" class="subtitle">Background references on inbred strains and other key resources</A></P> +<Blockquote class="fwn"><A NAME="Background" class="subtitle">Background references on inbred strains and other key resources</A> - -11737945 -<Blockquote> +<Blockquote style="font-size: 14px;"> Williams RW, Gu J, Qi S, Lu L (<a href="https://ncbi.nlm.nih.gov/pubmed/11737945" class="fwn" target="_blank">2001</a>) The genetic structure of recombinant inbred mice: high-resolution consensus maps for complex trait analysis. Genome Biology 2:46.1–46.18 <A href="http://genomebiology.com/content/2/11/RESEARCH0046" target="_blank" class="fwn"><I> Full Text HTML and PDF Version</I></A>. [General background on recombinant inbred strains.] </Blockquote> -<Blockquote> +<Blockquote style="font-size: 14px;"> Peirce JL, Lu L, Gu J, Silver LM, Williams RW (<a href="http://www.biomedcentral.com/1471-2156/5/7" target="_blank" class="fwn">2004</a>) A new set of BXD recombinant inbred lines from advanced intercross populations in mice. BMC Genetics 5:7 <A href="http://www.genenetwork.org/pdf/Peirce_and_Lu_2004.pdf" target="_blank" class="fwn"><I>Full Text PDF Version</I></A>. [Background on the expanded set of BXD strains.] </Blockquote> -<Blockquote> +<Blockquote style="font-size: 14px;"> Williams RW, Bennett B, Lu L, Gu J, DeFries JC, Carosone-Link PJ, Rikke BA, Belknap JK, Johnson TE (<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=15457343" target="_blank" class="fwn">2004</a>) Genetic structure of the LXS panel of recombinant inbred mouse strains: a powerful resource for complex trait analysis. Mammalian Genome 15:637-647 [Background on origins and the genetic structure large panel of LXS strains. Please cite this paper is you have used LXS data sets.] </Blockquote> -<Blockquote> +<Blockquote style="font-size: 14px;"> Grubb SC, Churchill GA, Bogue MA (<a href="http://www.ncbi.nlm.nih.gov/pubmed/15130929" target="_blank" class="fwn">2004</a>) A collaborative database of inbred mouse strain characteristics. Bioinformatics 20:2857-2859 [One of two key papers on the Mouse Phenome Project and database at The Jackson Laboratory. The mouse diversity panel (MDP) is a superset of strains that are part of the Phenome Project. <a href="http://bioinformatics.oxfordjournals.org/cgi/reprint/20/16/2857" target="_blank" class="fwn"><I>Full Text PDF Version</I></A>.] </Blockquote> -<Blockquote> +<Blockquote style="font-size: 14px;"> Bogue MA, Grubb SC (<a href="http://www.ncbi.nlm.nih.gov/pubmed/15619963" target="_blank" class="fwn">2004</a>) The mouse phenome project. Genetica 122:71-74 [One of two key papers on the Mouse Phenome Project and database at The Jackson Laboratory. The mouse diversity panel (MDP) is a superset of strains that are part of the Phenome Project. Please contact Dr. Molly Bogue for information on the Phenome Project: mollyb@jax.org] </Blockquote> -<Blockquote> +<Blockquote style="font-size: 14px;"> Frazer KA, Eskin E, Kang HM, Bogue MA, Hinds DA, Beilharz EJ, Gupta RV, Montgomery J, Morenzoni MM, Nilsen GB, Pethiyagoda CL, Stuve LL, Johnson FM, Daly MJ, Wade CM, Cox DR (<a href="http://www.ncbi.nlm.nih.gov/pubmed/17660834" target="_blank" class="fwn">2007</a>) A sequence-based variation map of 8.27 million SNPs in inbred mouse strains. Nature 448, 1050-3 </Blockquote> -<Blockquote> +<Blockquote style="font-size: 14px;"> Loudet O, Chaillou S, Camilleri C, Bouchez D, Daniel-Vedele F (<A HREF="http://www.inra.fr/qtlat/BayxSha/Loudet2002.pdf" target="_blank" class="fwn">2002</A>) Bay-0 x Shahdara recombinant inbred line population: a powerful tool for the genetic dissection of complex traits in Arabidopsis. Theoretical and Applied Genetics 104:1173-1184 <A HREF="http://www.inra.fr/qtlat/BayxSha/Loudet2002.pdf" target="_blank" class="fwn"><I>Full Text PDF Version</I></A> [Please cite this paper is you have used the BXS Arabidopsis data sets.] </Blockquote> -<Blockquote> +<Blockquote style="font-size: 14px;"> Jirout M, Krenova D, Kren V, Breen L, Pravenec M, Schork NJ, Printz MP (<A HREF="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=12925886&query_hl=3" target="_blank" class="fwn">2003</A>) A new framework marker-based linkage map and SDPs for the rat HXB/BXH strain set. expression differences in mice diverently selected for methamphetamine sensitivity. Mammalian Genome 14: 537-546 </Blockquote> -<Blockquote> +<Blockquote style="font-size: 14px;"> Shifman S, Bell JT, Copley BR, Taylor M, Williams RW, Mott R, Flint J (<A HREF="http://biology.plosjournals.org/perlserv/?request=get-document&doi=10.1371/journal.pbio.0040395" target="_blank" class="fwn">2006</A>) A high resolution single nucleotide polymorphism genetic map of the mouse genome. PLoS Biology 4:2227-2237 <A HREF="http://biology.plosjournals.org/archive/1545-7885/4/12/pdf/10.1371_journal.pbio.0040395-L.pdf" target="_blank" class="fwn"><I>Full Text PDF Version</I></A> [A comprehensive analysis of recombination rates using several populations of mice, including most major GRPs.] </Blockquote> </Blockquote> <Blockquote class="subtitle">Information about this HTML page:</P> </Blockquote> -<Blockquote class="fs14"> +<Blockquote style="font-size: 14px;"> <Blockquote ><P><P>This text originally generated by RWW, April 2003. Updated by RWW, Oct 15, Dec 17, 2004; RWW Jan 19, 2005; EJC Mar 9; RWW Mar 29, Apr 15; RWW Jan 7, 2006, Jan 21, July 26, Aug 26, 2006s; May 2007; Feb 2008; March 19 2008 </P></Blockquote> @@ -1433,4 +1493,5 @@ Shifman S, Bell JT, Copley BR, Taylor M, Williams RW, Mott R, Flint J (<A HREF=" <P></P> + {% endblock %} diff --git a/wqflask/wqflask/templates/search_error.html b/wqflask/wqflask/templates/search_error.html index 7394c9f9..7399b377 100644 --- a/wqflask/wqflask/templates/search_error.html +++ b/wqflask/wqflask/templates/search_error.html @@ -9,7 +9,8 @@ <div class="container"> <input type="hidden" name="uc_id" id="uc_id" value="{{ uc_id }}"> - <p>You entered at least one incorrect search command.</p> + <p>You entered at least one incorrect search command, or your search term was not applicable to the dataset type.</p> + <p><i>Some search terms may not be applicable to Phenotype or Genotype datasets (RIF, etc)</i></p> </div> <div id="myModal"></div> diff --git a/wqflask/wqflask/templates/search_result_page.html b/wqflask/wqflask/templates/search_result_page.html index 9ad8a53e..0f5c39b0 100644 --- a/wqflask/wqflask/templates/search_result_page.html +++ b/wqflask/wqflask/templates/search_result_page.html @@ -4,18 +4,20 @@ <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" /> <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/extensions/scroller.dataTables.min.css"> <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/extensions/buttons.dataTables.css"> + <link rel="stylesheet" type="text/css" href="/static/new/css/show_trait.css" /> {% endblock %} {% block content %} <!-- Start of body --> - {{ header("Search Results", - 'GeneNetwork found {}.'.format(numify(results|count, "record", "records"))) }} - - <div style="padding-left: 10px;"> + <div style="padding-left: 10px; {% if dataset.type == 'Publish' %}min-width: 1000px;{% else %}min-width: 1200px;{% endif %}"> <input type="hidden" name="uc_id" id="uc_id" value="{{ uc_id }}"> + <div style="padding-top: 10px; padding-bottom: 10px; font-size: 16px;"> <!-- Need to customize text more for other types of searches --> - <p>We searched <a href="http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&GN_AccessionId={{dataset.id}}">{{ dataset.fullname }}</a> + <p><b>Search Results:</b> We searched <a href="http://genenetwork.org/webqtl/main.py?FormID=sharinginfo&{% if dataset.accession_id != 'None' %}GN_AccessionId={{ dataset.accession_id }}{% else %}InfoPageName={{ dataset.name }}{% endif %}">{{ dataset.fullname }}</a> to find all records + {% if go_term is not none %} + with <u>Gene Ontology ID</u> <strong>GO:{{ go_term }}</strong>. + {% else %} {% for word in search_terms %} {% if word.key|lower == "rif" %} with <u>GeneRIF</u> containing <strong>{{ word.search_term[0] }}</strong>{% if loop.last %}.{% else %} and {% endif %} @@ -25,90 +27,116 @@ with <u>GeneWiki</u> containing <strong>{{ word.search_term[0] }}</strong>{% if loop.last %}.{% else %} and {% endif %} {% elif word.key|lower == "mean" %} with <u>MEAN</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong>{% if loop.last %}.{% else %} and {% endif %} - {% elif word.key|lower == "lrs" or word.key|lower == "translrs" or word.key|lower == "cislrs" %} + {% elif word.key|lower == "range" %} + with <u>RANGE</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong>{% if loop.last %}.{% else %} and {% endif %} + {% elif word.key|lower == "lrs" or word.key|lower == "lod" or word.key|lower == "translrs" or word.key|lower == "cislrs" or word.key|lower == "translod" or word.key|lower == "cislod" %} {% if word.search_term|length == 1 %} with {% if word.key|lower == "translrs" %}trans{% elif word.key|lower == "cislrs" %}cis{% endif %}LRS {% if word.separator == ">" %} greater than {% elif word.separator == "<" %} less than {% elif word.separator == ">=" %} greater than or equal to {% elif word.separator == "<=" %} less than or equal to {% endif %} <strong>{{ word.search_term[0] }}</strong>{% if loop.last %}.{% else %} and {% endif %} {% elif word.search_term|length == 2 %} - with <u>LRS</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong>{% if loop.last %}.{% else %} and {% endif %} + with <u>{{ word.key|upper }}</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong>{% if loop.last %}.{% else %} and {% endif %} {% elif word.search_term|length == 3 %} - with <u>LRS</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong> on chromosome <strong>{{ word.search_term[2] }}</strong>{% if loop.last %}.{% else %} and {% endif %} + with <u>{{ word.key|upper }}</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong> on chromosome <strong>{{ word.search_term[2] }}</strong>{% if loop.last %}.{% else %} and {% endif %} {% elif word.search_term|length == 5 %} - with <u>LRS</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong> on chromosome <strong>{{ word.search_term[2] }}</strong> between <strong>{{ word.search_term[3] }}</strong> and <strong>{{ word.search_term[4] }}</strong> Mb{% if loop.last %}.{% else %} and {% endif %} + with <u>{{ word.key|upper }}</u> between <strong>{{ word.search_term[0] }}</strong> and <strong>{{ word.search_term[1] }}</strong> on chromosome <strong>{{ word.search_term[2] }}</strong> between <strong>{{ word.search_term[3] }}</strong> and <strong>{{ word.search_term[4] }}</strong> Mb{% if loop.last %}.{% else %} and {% endif %} {% endif %} {% elif word.key|lower == "position" %} with <u>target genes</u> on chromosome <strong>{% if word.search_term[0].split('chr')|length > 1 %}{{ word.search_term[0].split('chr')[1] }}{% elif word.search_term[0].split('CHR')|length > 1 %}{{ word.search_term[0].split('CHR')[1] }}{% else %}{{ word.search_term[0] }}{% endif %}</strong> between <strong>{{ word.search_term[1] }}</strong> and <strong>{{ word.search_term[2] }}</strong> Mb{% if loop.last %}.{% else %} and {% endif %} {% else %} - that match the <u>TERM</u> <b>{{ word.search_term[0] }}</b>{% if loop.last %}.{% else %} and {% endif %} + {% if word.search_term[0] == "*" %} in the dataset.{% else %}{% if loop.first %}that match:<br>{% endif %}<b>"{{ word.search_term[0] }}"</b>{% if loop.last %}{% else %} and {% endif %}{% endif %} {% endif %} {% endfor %} + {% endif %} + <br> + {{ results|count }} records are shown below. </p> + {% if go_term is not none %} + <p><b>The associated genes include:</b><br><br>{% for word in search_terms %}{{ word.search_term[0] }}{% endfor %}</p> + {% endif %} - <p>To study a record click on its ID below, and to view the whole description {% if dataset.type == "Publish" %}or list of authors {% endif %} hover over the table cell. Check records below and click Add button to add to selection.</p> + <!--<p>To study a record click on its ID below, and to view the whole description {% if dataset.type == "Publish" %}or list of authors {% endif %} hover over the table cell. Check records below and click Add button to add to selection.</p>--> + + <!--<hr style="height: 1px; background-color: #A9A9A9;">--> + + </div> + + <div> + <form id="trait_submission_form" target="_blank" action="/corr_matrix" method="post"> + <input type="hidden" name="tool_used" value="" /> + <input type="hidden" name="form_url" value="" /> + <input type="hidden" name="trait_list" id="trait_list" value= " + {% for this_trait in trait_list %} + {{ this_trait.name }}:{{ this_trait.dataset }}, + {% endfor %}" > + + + <button id="corr_matrix" class="btn btn-primary submit_special" data-url="/corr_matrix" title="Correlation Matrix" > + Correlations + </button> + + <button id="network_graph" class="btn btn-primary submit_special" data-url="/network_graph" title="Network Graph" > + Networks + </button> + + <button id="send_to_webgestalt" class="btn btn-primary submit_special" data-url="/webgestalt_page" title="WebGestalt" > + WebGestalt + </button> + + <button id="send_to_geneweaver" class="btn btn-primary submit_special" data-url="/geneweaver_page" title="GeneWeaver" > + GeneWeaver + </button> + + <button id="send_to_bnw" class="btn btn-primary submit_special" data-url="/bnw_page" title="Bayesian Network" > + BNW + </button> + + <button id="wgcna_setup" class="btn btn-primary submit_special" data-url="/wgcna_setup" title="WGCNA Analysis" > + WGCNA + </button> + + <button id="ctl_setup" class="btn btn-primary submit_special" data-url="/ctl_setup" title="CTL Analysis" > + CTL Maps + </button> + + <button id="heatmap" class="btn btn-primary submit_special" data-url="/heatmap" title="Heatmap" > + MultiMap + </button> + + <button id="comp_bar_chart" class="btn btn-primary submit_special" data-url="/comparison_bar_chart" title="Comparison Bar Chart" > + Comparison Bar Chart + </button> + + </form> + </div> <div> <br /> - <button class="btn btn-default" id="select_all"><span class="glyphicon glyphicon-ok"></span> Select All</button> - <button class="btn btn-default" id="deselect_all"><span class="glyphicon glyphicon-remove"></span> Deselect All</button> - <button class="btn btn-default" id="invert"><span class="glyphicon glyphicon-resize-vertical"></span> Invert</button> - <button class="btn btn-default" id="add" disabled><span class="glyphicon glyphicon-plus-sign"></span> Add</button> - <button id="redraw" class="btn btn-default">Reset Columns</button> - <input type="text" id="searchbox" class="form-control" style="width: 200px; display: inline;" placeholder="Search This Table For ..."> - <input type="text" id="select_top" class="form-control" style="width: 200px; display: inline;" placeholder="Select Top ..."> - <br /> - <br /> - <form id="export_form" method="POST" action="/export_traits_csv"> + <form id="export_form" method="POST" action="/export_traits_csv" style="display: inline;"> + <input type="hidden" name="headers" id="headers" value="{% for field in header_fields %}{{ field }},{% endfor %}"> + <input type="hidden" name="search_string" id="search_string" value="{{ original_search_string }}"> <input type="hidden" name="database_name" id="database_name" value="{{ dataset.fullname }}"> + <input type="hidden" name="file_name" id="file_name" value="search_results"> + <input type="hidden" name="filter_term" id="filter_term" value="None"> + {% if dataset.accession_id is defined %} + <input type="hidden" name="accession_id" id="accession_id" value="{{ dataset.accession_id }}"> + {% endif %} <input type="hidden" name="export_data" id="export_data" value=""> + <button class="btn btn-default" id="select_all" type="button"><span class="glyphicon glyphicon-ok"></span> Select</button> + <button class="btn btn-default" id="add" type="button" disabled><span class="glyphicon glyphicon-plus-sign"></span> Add</button> <button class="btn btn-default" id="export_traits">Download CSV</button> + <input type="text" id="searchbox" class="form-control" style="width: 200px; display: inline;" placeholder="Search This Table For ..."> + <input type="text" id="select_top" class="form-control" style="width: 200px; display: inline;" placeholder="Select Top ..."> + <button class="btn btn-default" id="deselect_all" type="button"><span class="glyphicon glyphicon-remove"></span> Deselect</button> </form> <br /> -<!-- - Removing this until more options are added and work correctly - {% if dataset.type == 'ProbeSet' %} - <button class="btn btn-default" id="open_options">Open Extra Options</button> <br /> - <br /> - <div id="extra_options" style="display:none;"> - Min LRS <input type="text" id="min" class="form-control" style="width: 60px; display: inline;"> - Max LRS <input type="text" id="max" class="form-control" style="width: 60px; display: inline;"> + <div style="margin-bottom: 5px;"> + <b>Show/Hide Columns:</b> </div> - <br /> - <br /> - {% endif %} ---> - - <div id="table_container" style="width: {% if dataset.type == 'ProbeSet' %}1300{% elif dataset.type == 'Publish' %}1300{% elif dataset.type == 'Geno' %}400{% endif %}px;"> - <table class="display dataTable nowrap" id='trait_table' style="float: left;"> - <thead> - <tr> - <th></th> - {% for header in header_fields %} - {% if header == 'Max LRS' %} - <th data-export="Max LRS">Max LRS <a href="http://genenetwork.org//glossary.html#LRS" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - {% elif header == 'Additive Effect' %} - <th data-export="Additive Effect">Additive Effect <a href="http://genenetwork.org//glossary.html#A" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - {% else %} - <th data-export="{{header}}">{{header}}</th> - {% endif %} - {% endfor %} - </tr> - </thead> - {% if trait_list|length > 20 %} - <tfoot> - <tr> - <th></th> - {% for header in header_fields %} - {% if header == 'Max LRS' %} - <th data-export="Max LRS">Max LRS <a href="http://genenetwork.org//glossary.html#LRS" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - {% elif header == 'Additive Effect' %} - <th data-export="Additive Effect">Additive Effect <a href="http://genenetwork.org//glossary.html#A" target="_blank"><img style="width: 15px; height: 15px;" src="/static/new/images/question_mark.jpg"></a></th> - {% else %} - <th data-export="{{header}}">{{header}}</th> - {% endif %} - {% endfor %} - </tr> - </tfoot> - {% endif %} + <div id="table_container"> + <table class="table-hover table-striped cell-border" id='trait_table' style="float: left;"> + <tbody> + <td colspan="100%" align="center"><br><b><font size="15">Loading...</font></b><br></td> + </tbody> </table> </div> </div> @@ -121,6 +149,7 @@ {% endblock %} {% block js %} + <script language="javascript" type="text/javascript" src="/static/new/js_external/md5.min.js"></script> <script language="javascript" type="text/javascript" src="/static/new/javascript/search_results.js"></script> <script language="javascript" type="text/javascript" src="https://cdn.datatables.net/1.10.13/js/jquery.dataTables.min.js"></script> @@ -130,10 +159,25 @@ <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/extensions/buttons.colVis.min.js"></script> <script type='text/javascript'> - var json_trait_list = {{ json_trait_list|safe }}; + var trait_list = {{ trait_list|safe }}; </script> <script type="text/javascript" charset="utf-8"> + + $.fn.dataTable.ext.order['dom-checkbox'] = function ( settings, col ) + { + return this.api().column( col, {order:'index'} ).nodes().map( function ( td, i ) { + return $('input', td).prop('checked') ? '1' : '0'; + } ); + }; + + $.fn.dataTable.ext.order['dom-inner-text'] = function ( settings, col ) + { + return this.api().column( col, {order:'index'} ).nodes().map( function ( td, i ) { + return $(td).text(); + } ); + } + $(document).ready( function () { $('#trait_table tr').click(function(event) { @@ -170,206 +214,244 @@ } console.time("Creating table"); - {% if dataset.type == 'ProbeSet' %} //ZS: Need to make sort by symbol, also need to make sure blank symbol fields at the bottom and symbols starting with numbers below letters $('#trait_table').DataTable( { - "drawCallback": function( settings ) { + 'drawCallback': function( settings ) { $('#trait_table tr').click(function(event) { - if (event.target.type !== 'checkbox') { + if (event.target.type !== 'checkbox' && event.target.tagName.toLowerCase() !== 'a') { $(':checkbox', this).trigger('click'); } }); $('.trait_checkbox:checkbox').on("change", change_buttons); }, - "createdRow": function ( row, data, index ) { - $('td', row).eq(0).attr('style', 'padding-left: 8px; padding-right: 0px; padding-top: 4px; align: center;'); - $('td', row).eq(1).attr('align', 'right'); + 'createdRow': function ( row, data, index ) { + $('td', row).eq(0).attr("style", "text-align: center; padding: 0px 10px 2px 10px;"); + $('td', row).eq(1).attr("align", "right"); $('td', row).eq(1).attr('data-export', index+1); $('td', row).eq(2).attr('data-export', $('td', row).eq(2).text()); + {% if dataset.type == 'ProbeSet' %} $('td', row).eq(3).attr('title', $('td', row).eq(3).text()); $('td', row).eq(3).attr('data-export', $('td', row).eq(3).text()); + if ($('td', row).eq(3).text().length > 20) { + $('td', row).eq(3).text($('td', row).eq(3).text().substring(0, 20)); + $('td', row).eq(3).text($('td', row).eq(3).text() + '...') + } $('td', row).eq(4).attr('title', $('td', row).eq(4).text()); $('td', row).eq(4).attr('data-export', $('td', row).eq(4).text()); - if ($('td', row).eq(4).text().length > 60) { - $('td', row).eq(4).text($('td', row).eq(4).text().substring(0, 60)); - $('td', row).eq(4).text($('td', row).eq(4).text() + '...') - } + $('td', row).slice(5,10).attr("align", "right"); $('td', row).eq(5).attr('data-export', $('td', row).eq(5).text()); - $('td', row).eq(6).attr('align', 'right'); $('td', row).eq(6).attr('data-export', $('td', row).eq(6).text()); - $('td', row).eq(7).attr('align', 'right'); $('td', row).eq(7).attr('data-export', $('td', row).eq(7).text()); $('td', row).eq(8).attr('data-export', $('td', row).eq(8).text()); - $('td', row).eq(9).attr('align', 'right'); $('td', row).eq(9).attr('data-export', $('td', row).eq(9).text()); - }, - "data": json_trait_list, - "columns": [ - { "type": "natural", "width": "2%" }, - { "type": "natural", "width": "5%" }, - { "type": "natural", "width": "12%" }, - { "type": "natural", "width": "12%" }, - { "type": "natural" }, - { "type": "natural", "width": "11%" }, - { "type": "natural", "width": "4%" }, - { "type": "natural", "width": "5%" }, - { "type": "natural", "width": "11%" }, - { "type": "natural", "width": "5%" } - ], - "columnDefs": [ { - "targets": 0, - "orderable": false - } ], - "order": [[1, "asc" ]], - buttons: [ - { - extend: 'columnsToggle', - columns: ':not(:first-child)', - postfixButtons: [ 'colvisRestore' ] - } - ], - "sDom": "BRZtir", - "iDisplayLength": -1, - "autoWidth": false, - "deferRender": true, - "bSortClasses": false, - "scrollX": true, - "scrollY": "600px", - "scrollCollapse": false, - "scroller": true, - "paging": false, - "orderClasses": true - } ); - - {% elif dataset.type == 'Publish' %} - $('#trait_table').DataTable( { - "drawCallback": function( settings ) { - $('#trait_table tr').click(function(event) { - if (event.target.type !== 'checkbox') { - $(':checkbox', this).trigger('click'); - } - }); - $('.trait_checkbox:checkbox').on("change", change_buttons); - }, - "createdRow": function ( row, data, index ) { - $('td', row).eq(0).attr('style', 'padding-left: 8px; padding-right: 0px; padding-top: 4px; align: center;'); - $('td', row).eq(1).attr('align', 'right'); - $('td', row).eq(1).attr('data-export', index+1); - $('td', row).eq(2).attr('data-export', $('td', row).eq(2).text()); + {% elif dataset.type == 'Publish' %} $('td', row).eq(3).attr('title', $('td', row).eq(3).text()); $('td', row).eq(3).attr('data-export', $('td', row).eq(3).text()); - if ($('td', row).eq(3).text().length > 50) { - $('td', row).eq(3).text($('td', row).eq(3).text().substring(0, 50)); - $('td', row).eq(3).text($('td', row).eq(3).text() + '...') - } $('td', row).eq(4).attr('title', $('td', row).eq(4).text()); $('td', row).eq(4).attr('data-export', $('td', row).eq(4).text()); - if ($('td', row).eq(4).text().length > 50) { - $('td', row).eq(4).text($('td', row).eq(4).text().substring(0, 50)); - $('td', row).eq(4).text($('td', row).eq(4).text() + '...') - } - $('td', row).eq(4).text($('td', row).eq(4).text().substring(0, 30)); - //$('td', row).eq(5).attr('align', 'right'); + $('td', row).eq(4).attr('align', 'right'); + $('td', row).slice(6,10).attr("align", "right"); $('td', row).eq(5).attr('data-export', $('td', row).eq(5).text()); - $('td', row).eq(6).attr('align', 'right'); $('td', row).eq(6).attr('data-export', $('td', row).eq(6).text()); $('td', row).eq(7).attr('data-export', $('td', row).eq(7).text()); - $('td', row).eq(8).attr('align', 'right'); $('td', row).eq(8).attr('data-export', $('td', row).eq(8).text()); - }, - "data": json_trait_list, - "columns": [ - { "type": "natural", "width": "2%" }, - { "type": "natural", "width": "5%" }, - { "type": "natural", "width": "6%" }, - { "type": "natural" }, - { "type": "natural", "width": "30%" }, - { "type": "natural", "width": "5%" }, - { "type": "natural", "width": "6%" }, - { "type": "natural", "width": "10%" }, - { "type": "natural", "width": "8%" } - ], - "columnDefs": [ { - "targets": 0, - "orderable": false - } ], - "order": [[1, "asc" ]], - buttons: [ - { - extend: 'columnsToggle', - columns: ':not(:first-child)', - postfixButtons: [ 'colvisRestore' ] - } - ], - "sDom": "BRZtir", - "iDisplayLength": -1, - "autoWidth": false, - "deferRender": true, - "bSortClasses": false, - "scrollY": "600px", - "scrollCollapse": false, - "scroller": false, - "paging": false, - "orderClasses": true - } ); - {% elif dataset.type == 'Geno' %} - $('#trait_table').DataTable( { - "drawCallback": function( settings ) { - $('#trait_table tr').click(function(event) { - if (event.target.type !== 'checkbox') { - $(':checkbox', this).trigger('click'); - } - }); - $('.trait_checkbox:checkbox').on("change", change_buttons); - }, - "createdRow": function ( row, data, index ) { - $('td', row).eq(0).attr('style', 'padding-left: 8px; padding-right: 0px; padding-top: 4px; align: center;'); - $('td', row).eq(1).attr('align', 'right'); - $('td', row).eq(1).attr('data-export', index+1); - $('td', row).eq(2).attr('data-export', $('td', row).eq(2).text()); + $('td', row).eq(9).attr('data-export', $('td', row).eq(8).text()); + {% elif dataset.type == 'Geno' %} $('td', row).eq(3).attr('data-export', $('td', row).eq(3).text()); + {% endif %} }, - "data": json_trait_list, - "columns": [ - { "type": "natural", "width": "5%" }, - { "type": "natural", "width": "12%" }, - { "type": "natural" }, - { "type": "natural", "width": "30%"} + 'data': trait_list, + 'columns': [ + { + 'data': null, + 'width': "30px", + 'orderDataType': "dom-checkbox", + 'orderSequence': [ "desc", "asc"], + 'render': function(data, type, row, meta) { + return '<input type="checkbox" name="searchResult" class="checkbox trait_checkbox" value="' + data.hmac + '">' + } + }, + { + 'title': "Index", + 'type': "natural", + 'width': "30px", + 'data': "index" + }, + { + 'title': "Record", + 'type': "natural", + 'data': null, + 'width': "60px", + 'orderDataType': "dom-inner-text", + 'render': function(data, type, row, meta) { + return '<a target="_blank" href="/show_trait?trait_id=' + data.name + '&dataset=' + data.dataset + '">' + data.display_name + '</a>' + } + }{% if dataset.type == 'ProbeSet' %}, + { + 'title': "Symbol", + 'type': "natural", + 'data': "symbol" + }, + { + 'title': "Description", + 'type': "natural", + 'data': null, + 'render': function(data, type, row, meta) { + try { + return decodeURIComponent(escape(data.description)) + } catch(err){ + return escape(data.description) + } + } + }, + { + 'title': "Location", + 'type': "natural", + 'width': "120px", + 'data': "location" + }, + { + 'title': "Mean", + 'type': "natural", + 'width': "40px", + 'data': "mean", + 'orderSequence': [ "desc", "asc"] + }, + { + 'title': "Max LRS<a href=\"http://genenetwork.org//glossary.html#LRS\" target=\"_blank\" style=\"color: white;\"><sup>?</sup></a>", + 'type': "natural", + 'data': "lrs_score", + 'orderSequence': [ "desc", "asc"] + }, + { + 'title': "Max LRS Location", + 'type': "natural", + 'width': "120px", + 'data': "lrs_location" + }, + { + 'title': "Additive Effect<a href=\"http://genenetwork.org//glossary.html#A\" target=\"_blank\" style=\"color: white;\"><sup>?</sup></a>", + 'type': "natural", + 'data': "additive", + 'orderSequence': [ "desc", "asc"] + }{% elif dataset.type == 'Publish' %}, + { + 'title': "Description", + 'type': "natural", + 'width': "800px", + 'data': null, + 'render': function(data, type, row, meta) { + try { + return decodeURIComponent(escape(data.description)) + } catch(err){ + return data.description + } + } + }, + { + 'title': "Mean", + 'type': "natural", + 'width': "110px", + 'data': "mean", + 'orderSequence': [ "desc", "asc"] + }, + { + 'title': "Authors", + 'type': "natural", + 'width': "500px", + 'data': null, + 'render': function(data, type, row, meta) { + author_list = data.authors.split(",") + if (author_list.length >= 6) { + author_string = author_list.slice(0, 6).join(",") + ", et al." + } else{ + author_string = data.authors + } + try { + return decodeURIComponent(escape(author_string)) + } catch(err){ + return author_string + } + } + }, + { + 'title': "Year", + 'type': "natural", + 'orderDataType': "dom-inner-text", + 'data': null, + 'render': function(data, type, row, meta) { + if (data.pubmed_id != "N/A"){ + return '<a href="' + data.pubmed_link + '">' + data.pubmed_text + '</a>' + } else { + return data.pubmed_text + } + }, + 'orderSequence': [ "desc", "asc"] + }, + { + 'title': "Max LRS<a href=\"http://genenetwork.org//glossary.html#LRS\" target=\"_blank\" style=\"color: white;\"><sup>?</sup></a>", + 'type': "natural", + 'data': "lrs_score", + 'orderSequence': [ "desc", "asc"] + }, + { + 'title': "Max LRS Location", + 'type': "natural", + 'width': "200px", + 'data': "lrs_location" + }, + { + 'title': "Additive<br>Effect<a href=\"http://genenetwork.org//glossary.html#A\" target=\"_blank\" style=\"color: white;\"><sup>?</sup></a>", + 'type': "natural", + 'width': "100px", + 'data': "additive", + 'orderSequence': [ "desc", "asc"] + }{% elif dataset.type == 'Geno' %}, + { + 'title': "Location", + 'type': "natural", + 'width': "160px", + 'data': "location" + }{% endif %} ], - "columnDefs": [ { - "targets": 0, - "orderable": false - } ], "order": [[1, "asc" ]], buttons: [ { extend: 'columnsToggle', - columns: ':not(:first-child)', + columns: function( idx, data, node ) { + if (idx != 0) { + return true; + } else { + return false; + } + }, postfixButtons: [ 'colvisRestore' ] } ], - "sDom": "BRZtir", - "iDisplayLength": -1, - "autoWidth": false, - "deferRender": true, - "bSortClasses": false, - "scrollY": "600px", - "scrollCollapse": true, - "scroller": true, - "paging": false, - "orderClasses": true + 'sDom': "Bitir", + 'deferRender': true, + 'paging': false, + 'orderClasses': true, + 'processing': true, + 'language': { + 'loadingRecords': ' ', + 'processing': 'Loading...' + } } ); - {% endif %} console.timeEnd("Creating table"); - var table = $('#trait_table').DataTable(); $('#redraw').click(function() { var table = $('#trait_table').DataTable(); table.colReorder.reset() }); + submit_special = function(url) { + $("#trait_submission_form").attr("action", url); + return $("#trait_submission_form").submit(); + }; + }); </script> {% endblock %} diff --git a/wqflask/wqflask/templates/show_trait.html b/wqflask/wqflask/templates/show_trait.html index f67fff90..27c3e398 100644 --- a/wqflask/wqflask/templates/show_trait.html +++ b/wqflask/wqflask/templates/show_trait.html @@ -1,29 +1,27 @@ {% extends "base.html" %} {% block title %}Trait Data and Analysis{% endblock %} {% block css %} - <link rel="stylesheet" type="text/css" href="/static/new/css/show_trait.css" /> <link rel="stylesheet" type="text/css" href="/static/new/css/bar_chart.css" /> <link rel="stylesheet" type="text/css" href="/static/new/css/box_plot.css" /> <link rel="stylesheet" type="text/css" href="/static/new/css/prob_plot.css" /> <link rel="stylesheet" type="text/css" href="/static/new/css/scatter-matrix.css" /> <link rel="stylesheet" type="text/css" href="/static/new/css/d3-tip.min.css" /> - <link rel="stylesheet" type="text/css" href="/static/new/packages/nvd3/nv.d3.css" /> <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" /> <link rel="stylesheet" type="text/css" href="/static/new/packages/noUiSlider/nouislider.css" /> <link rel="stylesheet" type="text/css" href="/static/new/packages/noUiSlider/nouislider.pips.css" /> - <link rel="stylesheet" type="text/css" href="/static/packages/DT_bootstrap/DT_bootstrap.css" /> + <link rel="stylesheet" type="text/css" href="/static/new/css/show_trait.css" /> {% endblock %} {% block content %} <!-- Start of body --> <div class="container"> - <h2>Trait Data and Analysis for <b>{{ this_trait.name }}</b></h2> + <h2>Trait Data and Analysis for <b>{{ this_trait.display_name }}</b></h2> {% if this_trait.dataset.type != 'Publish' %} - <h3>{{ this_trait.description_fmt }}</h3> + <h3>{{ this_trait.description_fmt[0]|upper }}{{ this_trait.description_fmt[1:] }}</h3> {% endif %} </div> - <form method="post" action="/corr_compute" target="_blank" name="trait_page" id="trait_data_form" + <form method="post" action="" target="_blank" name="trait_page" id="trait_data_form" class="form-horizontal"> <div id="hidden_inputs"> <input type="hidden" name="trait_hmac" value="{{ data_hmac('{}:{}'.format(this_trait.name, dataset.name)) }}"> @@ -33,11 +31,14 @@ </div> <input type="hidden" name="temp_uuid" id="temp_uuid" value="{{ temp_uuid }}"> + <input type="hidden" name="tool_used" value=""> + <input type="hidden" name="form_url" value=""> + <input type="hidden" name="wanted_inputs" value=""> <input type="hidden" name="genofile" value=""> <input type="hidden" name="covariates" value=""> <input type="hidden" name="transform" value=""> - <div class="container"> + <div class="container" style="min-width: 1450px;"> <div class="panel-group" id="accordion"> <div class="panel panel-default"> <div class="panel-heading" data-toggle="collapse" data-parent="#accordion" data-target="#collapseOne" aria-expanded="true"> @@ -52,7 +53,7 @@ </div> </div> <div class="panel panel-default"> - <div class="panel-heading" data-toggle="collapse" data-parent="#accordion" data-target="#collapseTwo"> + <div class="panel-heading stats_panel" data-toggle="collapse" data-parent="#accordion" data-target="#collapseTwo"> <h3 class="panel-title"> <span class="glyphicon glyphicon-chevron-down"></span> Statistics </h3> @@ -62,26 +63,38 @@ {% include 'show_trait_statistics.html' %} </div> </div> - </div> + </div> <div class="panel panel-default"> <div class="panel-heading" data-toggle="collapse" data-parent="#accordion" data-target="#collapseThree"> <h3 class="panel-title"> - <span class="glyphicon glyphicon-chevron-down"></span> Calculate Correlations + <span class="glyphicon glyphicon-chevron-down"></span> Transform and Filter Data </h3> </div> <div id="collapseThree" class="panel-collapse collapse in"> <div class="panel-body"> + {% include 'show_trait_transform_and_filter.html' %} + </div> + </div> + </div> + <div class="panel panel-default"> + <div class="panel-heading" data-toggle="collapse" data-parent="#accordion" data-target="#collapseFour"> + <h3 class="panel-title"> + <span class="glyphicon glyphicon-chevron-down"></span> Calculate Correlations + </h3> + </div> + <div id="collapseFour" class="panel-collapse collapse in"> + <div class="panel-body"> {% include 'show_trait_calculate_correlations.html' %} </div> </div> </div> <div class="panel panel-default"> - <div class="panel-heading" data-toggle="collapse" data-parent="#accordion" data-target="#collapseFour"> + <div class="panel-heading" data-toggle="collapse" data-parent="#accordion" data-target="#collapseFive"> <h3 class="panel-title"> <span class="glyphicon glyphicon-chevron-down"></span> Mapping Tools </h3> </div> - <div id="collapseFour" class="panel-collapse collapse in"> + <div id="collapseFive" class="panel-collapse collapse in"> <div class="panel-body"> {% include 'show_trait_mapping_tools.html' %} </div> @@ -89,12 +102,12 @@ </div> </div> <div class="panel panel-default"> - <div class="panel-heading" data-toggle="collapse" data-parent="#accordion" data-target="#collapseFive" aria-expanded="true"> + <div class="panel-heading" data-toggle="collapse" data-parent="#accordion" data-target="#collapseSix" aria-expanded="true"> <h3 class="panel-title"> <span class="glyphicon glyphicon-chevron-up"></span> Review and Edit Data </h3> </div> - <div id="collapseFive" class="panel-collapse collapse" aria-expanded="true"> + <div id="collapseSix" class="panel-collapse collapse" aria-expanded="true"> <div class="panel-body"> {% include 'show_trait_edit_data.html' %} </div> @@ -116,8 +129,7 @@ $('.collapse').collapse() </script> - <script type="text/javascript" src="http://d3js.org/d3.v3.min.js"></script> - <script type="text/javascript" src="/static/new/packages/nvd3/nv.d3.js"></script> + <script type="text/javascript" src="https://d3js.org/d3.v3.min.js"></script> <script type="text/javascript" src="/static/new/js_external/underscore-min.js"></script> <script type="text/javascript" src="/static/new/js_external/underscore.string.min.js"></script> <script type="text/javascript" src="/static/new/js_external/d3-tip.min.js"></script> @@ -130,7 +142,6 @@ <script type="text/javascript" src="/static/new/javascript/scatter-matrix.js"></script> <script type="text/javascript" src="/static/new/javascript/plotly_probability_plot.js"></script> <script type="text/javascript" src="/static/new/javascript/compare_traits_scatterplot.js"></script> - <script language="javascript" type="text/javascript" src="/static/new/javascript/get_covariates_from_collection.js"></script> <script type="text/javascript" src="/static/new/javascript/show_trait_mapping_tools.js"></script> <script type="text/javascript" src="/static/new/javascript/show_trait.js"></script> @@ -140,43 +151,54 @@ <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.scientific.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.naturalSort.js"></script> <script language="javascript" type="text/javascript" src="/static/new/packages/noUiSlider/nouislider.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/javascript/get_covariates_from_collection.js"></script> + <script type="text/javascript" charset="utf-8"> + + $.fn.dataTable.ext.order['dom-checkbox'] = function ( settings, col ) + { + return this.api().column( col, {order:'index'} ).nodes().map( function ( td, i ) { + return $('input', td).prop('checked') ? '1' : '0'; + } ); + }; - function getValue(x) { - if (x.indexOf('input') >= 0) { - if ($(x).val() == 'x') { - return 'x' - } - else { - return parseFloat($(x).val()); - } + function getValue(x) { + if (x == 'x') { + return "x"; + } + else { + return parseFloat(x); } - return parseFloat(x); } - - jQuery.fn.dataTableExt.oSort['cust-txt-asc'] = function (a, b) { - var x = getValue(a); - var y = getValue(b); - return ((x < y) ? -1 : ((x > y) ? 1 : 0)); - }; - - jQuery.fn.dataTableExt.oSort['cust-txt-desc'] = function (a, b) { + + $.fn.dataTable.ext.order['dom-input'] = function (settings, col) { + return this.api().column(col, { order: 'index' }).nodes().map(function (td, i) { + return $('input', td).val(); + }); + } + + $.fn.dataTableExt.oSort['cust-txt-asc'] = function (a, b) { var x = getValue(a); var y = getValue(b); - if (x == 'x') { + if (x == 'x' || x === '') { return 1; } - else if (y == 'x') { + else if (y == 'x' || y === '') { return -1; } else { - return ((x < y) ? 1 : ((x > y) ? -1 : 0)); + return ((x < y) ? -1 : ((x > y) ? 1 : 0)); } }; - - $(document).ready( function () { + $.fn.dataTableExt.oSort['cust-txt-desc'] = function (a, b) { + var x = getValue(a); + var y = getValue(b); + return ((x < y) ? 1 : ((x > y) ? -1 : 0)); + }; + + $(document).ready( function () { $('.panel-heading').click(function () { if ($(this).hasClass('collapsed')){ $(this).find('.glyphicon-chevron-down').removeClass('glyphicon-chevron-down').addClass('glyphicon-chevron-up'); @@ -186,71 +208,332 @@ } }); - $('#samples_primary, #samples_other').find("tr.outlier").css('background-color', 'yellow') - {% if sample_groups[0].se_exists() %} - $('#samples_primary, #samples_other').DataTable( { - "columns": [ - { "bSortable": false }, - { "type": "natural" }, - { "type": "natural" }, - { "type": "cust-txt" }, - { "bSortable": false }, - { "type": "cust-txt" }{% if sample_groups[0].attributes|length > 0 %},{% endif %} - {% for attribute in sample_groups[0].attributes %} - { "type": "natural" }{% if loop.index < sample_groups[0].attributes|length %},{% endif %} - {% endfor %} - ], - "columnDefs": [ { - "targets": 0, - "orderable": false - } ], - "order": [[1, "asc" ]], - "sDom": "RZtr", - "iDisplayLength": -1, - "autoWidth": false, - "bLengthChange": true, - "bDeferRender": true, - "bSortClasses": false, - "scrollY": "600px", - "scrollCollapse": false, - "colResize": { - "tableWidthFixed": false + //ZS: This variable is just created to get the column position of the first case attribute, since it's needed to set the row classes in createdRow for the DataTable + {% if sample_groups[0].attributes|length > 0 %} + {% if sample_groups[0].se_exists() %} + {% if has_num_cases %} + attribute_start_pos = 6 + {% else %} + attribute_start_pos = 5 + {% endif %} + {% else %} + {% if has_num_cases %} + attribute_start_pos = 4 + {% else %} + attribute_start_pos = 3 + {% endif %} + {% endif %} + {% endif %} + + var primary_table = $('#samples_primary').DataTable( { + 'initComplete': function(settings, json) { + $('.edit_sample_value').change(function() { + edit_data_change(); + }); + }, + 'createdRow': function ( row, data, index ) { + $(row).attr('id', "Primary_" + data.this_id) + $(row).addClass("value_se"); + if (data.outlier) { + $(row).addClass("outlier"); + } + $('td', row).eq(0).attr("align", "center"); + $('td', row).eq(0).attr("style", "padding: 2px 0px 0px 2px;"); + $('td', row).eq(1).addClass("column_name-Index") + $('td', row).eq(1).attr("align", "right"); + $('td', row).eq(1).attr("style", "padding: 2px 4px 0px 2px;"); + $('td', row).eq(2).addClass("column_name-Sample") + $('td', row).eq(3).addClass("column_name-Value") + $('td', row).eq(3).attr("style", "text-align: right; padding-top: 2px; padding-bottom: 0px;"); + {% if sample_groups[0].se_exists() %} + $('td', row).eq(4).attr("align", "center"); + $('td', row).eq(4).attr("style", "padding-left: 2px; padding-right: 2px;"); + $('td', row).eq(5).addClass("column_name-SE") + $('td', row).eq(5).attr("style", "text-align: right; padding-top: 2px; padding-bottom: 0px;"); + {% if has_num_cases %} + $('td', row).eq(6).addClass("column_name-num_cases") + $('td', row).eq(6).attr("style", "text-align: right; padding-top: 2px; padding-bottom: 0px;"); + {% endif %} {% else %} {% if has_num_cases %} + $('td', row).eq(4).addClass("column_name-num_cases") + $('td', row).eq(4).attr("style", "text-align: right; padding-top: 2px; padding-bottom: 0px;"); + {% endif %} {% endif %} + {% if sample_groups[0].attributes|length > 0 %} + {% for attribute in sample_groups[0].attributes|sort() %} + $('td', row).eq(attribute_start_pos + {{ loop.index }}).addClass("column_name-{{ sample_groups[0].attributes[attribute].name }}") + $('td', row).eq(attribute_start_pos + {{ loop.index }}).attr("style", "text-align: {{ sample_groups[0].attributes[attribute].alignment }}; padding-top: 2px; padding-bottom: 0px;") + {% endfor %} + {% endif %} + }, + 'data': js_data['sample_lists'][0], + 'columns': [ + { + 'data': null, + 'orderDataType': "dom-checkbox", + 'searchable' : false, + 'render': function(data, type, row, meta) { + return '<input type="checkbox" name="searchResult" style="min-height: 20px;" class="checkbox edit_sample_checkbox" value="">' + } + }, + { + 'title': "ID", + 'type': "natural", + 'searchable' : false, + 'data': "this_id" }, - "paging": false + { + 'title': "Sample", + 'type': "natural", + 'data': null, + 'render': function(data, type, row, meta) { + return '<span class="edit_sample_sample_name">' + data.name + '</span>' + } + }, + { + 'title': "<div style='text-align: right;'>Value</div>", + 'orderDataType': "dom-input", + 'type': "cust-txt", + 'data': null, + 'render': function(data, type, row, meta) { + if (data.value == null) { + return '<input type="text" data-value="x" data-qnorm="x" data-zscore="x" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_value" value="x" size=6 maxlength=6>' + } else { + return '<input type="text" data-value="' + data.value.toFixed(3) + '" data-qnorm="' + js_data['qnorm_values'][0][parseInt(data.this_id) - 1] + '" data-zscore="' + js_data['zscore_values'][0][parseInt(data.this_id) - 1] + '" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_value" value="' + data.value.toFixed(3) + '" size=6 maxlength=6>' + } + } + }{% if sample_groups[0].se_exists() %}, + { + 'bSortable': false, + 'type': "natural", + 'data': null, + 'searchable' : false, + 'render': function(data, type, row, meta) { + return '±' + } + }, + { + 'title': "<div style='text-align: right;'>SE</div>", + 'orderDataType': "dom-input", + 'type': "cust-txt", + 'data': null, + 'render': function(data, type, row, meta) { + if (data.variance == null) { + return '<input type="text" data-value="x" data-qnorm="x" data-zscore="x" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_se" value="x" size=6 maxlength=6>' + } else { + return '<input type="text" data-value="' + data.variance.toFixed(3) + '" data-qnorm="x" data-zscore="x" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_se" value="' + data.variance.toFixed(3) + '" size=6 maxlength=6>' + } + } + }{% endif %}{% if has_num_cases %}, + { + 'title': "<div style='text-align: right;'>N</div>", + 'orderDataType': "dom-input", + 'type': "cust-txt", + 'data': null, + 'render': function(data, type, row, meta) { + if (data.num_cases == null || data.num_cases == undefined) { + return '<input type="text" data-value="x" data-qnorm="x" data-zscore="x" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_num_cases" value="x" size=4 maxlength=4>' + } else { + return '<input type="text" data-value="' + data.num_cases + '" data-qnorm="x" data-zscore="x" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_num_cases" value="' + data.num_cases + '" size=4 maxlength=4>' + } + } + }{% endif %}{% if sample_groups[0].attributes|length > 0 %}{% for attribute in sample_groups[0].attributes|sort() %}, + { + 'title': "<div style='text-align: {{ sample_groups[0].attributes[attribute].alignment }}'>{{ sample_groups[0].attributes[attribute].name }}</div>", + 'type': "natural", + 'data': null, + 'render': function(data, type, row, meta) { + if (data.extra_attributes['{{ sample_groups[0].attributes[attribute].name }}'] != null && data.extra_attributes['{{ sample_groups[0].attributes[attribute].name }}'] != undefined){ + return data.extra_attributes['{{ sample_groups[0].attributes[attribute].name }}'] + } else { + return "" + } + } + }{% endfor %}{% endif %} + ], + 'order': [[1, "asc"]], + 'sDom': "Ztr", + 'autoWidth': true, + 'deferRender': true, + 'paging': false, + 'orderClasses': true, + 'scrollY': "600px", + 'scrollCollapse': false, + 'processing': true, + 'language': { + 'loadingRecords': ' ', + 'processing': 'Loading...' + } } ); - {% else %} - - $('#samples_primary, #samples_other').DataTable( { - "columns": [ - { "bSortable": false, "width": "8%" }, - { "type": "natural", "width": "15%" }, - { "type": "natural", "width": "25%" }, - { "type": "cust-txt", "width": "25%" }{% if sample_groups[0].attributes|length > 0 %},{% endif %} - {% for attribute in sample_groups[0].attributes %} - { "type": "natural" }{% if loop.index < sample_groups[0].attributes|length %},{% endif %} - {% endfor %} - ], - "columnDefs": [ { - "targets": 0, - "orderable": false - } ], - "order": [[1, "asc" ]], - "sDom": "RZtr", - "iDisplayLength": -1, - "autoWidth": false, - "bLengthChange": true, - "bDeferRender": true, - "bSortClasses": false, - "scrollY": "600px", - "scrollCollapse": false, - "colResize": { - "tableWidthFixed": false + primary_table.on( 'order.dt search.dt draw.dt', function () { + primary_table.column(1, {search:'applied', order:'applied'}).nodes().each( function (cell, i) { + cell.innerHTML = i+1; + } ); + } ).draw(); + + $('#primary_searchbox').on( 'keyup', function () { + primary_table.search($(this).val()).draw(); + } ); + + {% if sample_groups|length != 1 %} + var other_table = $('#samples_other').DataTable( { + 'initComplete': function(settings, json) { + $('.edit_sample_value').change(function() { + edit_data_change(); + }); + }, + 'createdRow': function ( row, data, index ) { + $(row).attr('id', "Other_" + data.this_id) + $(row).addClass("value_se"); + if (data.outlier) { + $(row).addClass("outlier"); + } + $('td', row).eq(0).attr("align", "center"); + $('td', row).eq(0).attr("style", "padding: 2px 0px 0px 2px;"); + $('td', row).eq(1).addClass("column_name-Index") + $('td', row).eq(1).attr("align", "right"); + $('td', row).eq(1).attr("style", "padding: 2px 4px 0px 2px;"); + $('td', row).eq(2).addClass("column_name-Sample") + $('td', row).eq(3).addClass("column_name-Value") + $('td', row).eq(3).attr("style", "text-align: right; padding-top: 2px; padding-bottom: 0px;"); + {% if sample_groups[1].se_exists() %} + $('td', row).eq(4).attr("align", "center"); + $('td', row).eq(4).attr("style", "padding-left: 2px; padding-right: 2px;"); + $('td', row).eq(5).addClass("column_name-SE") + $('td', row).eq(5).attr("style", "text-align: right; padding-top: 2px; padding-bottom: 0px;"); + {% if has_num_cases %} + $('td', row).eq(6).addClass("column_name-num_cases") + $('td', row).eq(6).attr("style", "text-align: right; padding-top: 2px; padding-bottom: 0px;"); + {% endif %} {% else %} {% if has_num_cases %} + $('td', row).eq(4).addClass("column_name-num_cases") + $('td', row).eq(4).attr("style", "text-align: right; padding-top: 2px; padding-bottom: 0px;"); + {% endif %} {% endif %} + {% if sample_groups[1].attributes|length > 0 %} + {% for attribute in sample_groups[1].attributes|sort() %} + $('td', row).eq(attribute_start_pos + {{ loop.index }}).addClass("column_name-{{ sample_groups[1].attributes[attribute].name }}") + $('td', row).eq(attribute_start_pos + {{ loop.index }}).attr("style", "text-align: {{ sample_groups[1].attributes[attribute].alignment }}; padding-top: 2px; padding-bottom: 0px;") + {% endfor %} + {% endif %} + }, + 'data': js_data['sample_lists'][1], + 'columns': [ + { + 'data': null, + 'orderDataType': "dom-checkbox", + 'searchable' : false, + 'render': function(data, type, row, meta) { + return '<input type="checkbox" name="searchResult" style="min-height: 20px;" class="checkbox edit_sample_checkbox" value="">' + } + }, + { + 'title': "ID", + 'type': "natural", + 'data': "this_id", + 'searchable' : false + }, + { + 'title': "Sample", + 'type': "natural", + 'data': null, + 'render': function(data, type, row, meta) { + return '<span class="edit_sample_sample_name">' + data.name + '</span>' + } }, - "paging": false + { + 'title': "<div style='text-align: right;'>Value</div>", + 'orderDataType': "dom-input", + 'type': "cust-txt", + 'data': null, + 'render': function(data, type, row, meta) { + if (data.value == null) { + return '<input type="text" data-value="x" data-qnorm="x" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_value" value="x" size=6 maxlength=6>' + } else { + return '<input type="text" data-value="' + data.value.toFixed(3) + '" data-qnorm="' + js_data['qnorm_values'][1][parseInt(data.this_id)] + '" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_value" value="' + data.value.toFixed(3) + '" size=6 maxlength=6>' + } + } + }{% if sample_groups[1].se_exists() %}, + { + 'bSortable': false, + 'type': "natural", + 'data': null, + 'searchable' : false, + 'render': function(data, type, row, meta) { + return '±' + } + }, + { + 'title': "<div style='text-align: right;'>SE</div>", + 'orderDataType': "dom-input", + 'type': "cust-txt", + 'data': null, + 'render': function(data, type, row, meta) { + if (data.variance == null) { + return '<input type="text" data-value="x" data-qnorm="x" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_se" value="x" size=6 maxlength=6>' + } else { + return '<input type="text" data-value="' + data.variance.toFixed(3) + '" data-qnorm="x" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_se" value="' + data.variance.toFixed(3) + '" size=6 maxlength=6>' + } + } + }{% endif %}{% if has_num_cases %}, + { + 'title': "<div style='text-align: right;'>N</div>", + 'orderDataType': "dom-input", + 'type': "cust-txt", + 'data': null, + 'render': function(data, type, row, meta) { + if (data.num_cases == null) { + return '<input type="text" data-value="x" data-qnorm="x" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_num_cases" value="x" size=4 maxlength=4>' + } else { + return '<input type="text" data-value="' + data.num_cases + '" data-qnorm="x" name="value:' + data.name + '" style="text-align: right;" class="trait_value_input edit_sample_num_cases" value="' + data.num_cases + '" size=4 maxlength=4>' + } + } + }{% endif %}{% if sample_groups[1].attributes|length > 0 %}{% for attribute in sample_groups[1].attributes|sort() %}, + { + 'title': "<div style='text-align: {{ sample_groups[1].attributes[attribute].alignment }}'>{{ sample_groups[1].attributes[attribute].name }}</div>", + 'type': "natural", + 'data': null, + 'render': function(data, type, row, meta) { + if (data.extra_attributes['{{ sample_groups[1].attributes[attribute].name }}'] != null && data.extra_attributes['{{ sample_groups[1].attributes[attribute].name }}'] != undefined){ + return data.extra_attributes['{{ sample_groups[1].attributes[attribute].name }}'] + } else { + return "" + } + } + }{% endfor %}{% endif %} + ], + 'order': [[1, "asc"]], + 'sDom': "Ztr", + 'autoWidth': true, + 'deferRender': true, + 'paging': false, + 'orderClasses': true, + 'scrollY': "600px", + 'scrollCollapse': false, + 'processing': true, + 'language': { + 'loadingRecords': ' ', + 'processing': 'Loading...' + } + } ); + + $('#other_searchbox').on( 'keyup', function () { + other_table.search($(this).val()).draw(); } ); {% endif %} + $('#samples_primary, #samples_other').find("tr.outlier").css('background-color', 'orange') + + $('.edit_sample_checkbox:checkbox').change(function() { + if ($(this).is(":checked")) { + if (!$(this).closest('tr').hasClass('selected')) { + $(this).closest('tr').addClass('selected') + } + } + else { + if ($(this).closest('tr').hasClass('selected')) { + $(this).closest('tr').removeClass('selected') + } + } + }); + var slider = document.getElementById('p_range_slider'); noUiSlider.create(slider, { start: [-1.0, 1.0], diff --git a/wqflask/wqflask/templates/show_trait_calculate_correlations.html b/wqflask/wqflask/templates/show_trait_calculate_correlations.html index ef233333..297d62ce 100644 --- a/wqflask/wqflask/templates/show_trait_calculate_correlations.html +++ b/wqflask/wqflask/templates/show_trait_calculate_correlations.html @@ -70,9 +70,11 @@ <select name="corr_sample_method" class="form-control"> <option value="pearson">Pearson</option> <option value="spearman">Spearman Rank</option> + <option value="bicor">Biweight Midcorrelation</option> </select> </div> </div> + {% if dataset.type != "Publish" %} <div class="form-group"> <label class="col-xs-2 control-label">Min Expr</label> <div class="col-xs-3 controls"> @@ -89,6 +91,7 @@ <br> </div> </div> + {% endif %} <div class="form-group"> <label class="col-xs-2 control-label">Range</label> <div class="col-xs-5 controls"> diff --git a/wqflask/wqflask/templates/show_trait_details.html b/wqflask/wqflask/templates/show_trait_details.html index 1e6d41c2..20dee54e 100644 --- a/wqflask/wqflask/templates/show_trait_details.html +++ b/wqflask/wqflask/templates/show_trait_details.html @@ -1,61 +1,74 @@ <table class="table"> <tr> - <td>Species and Group</td> - <td>{{ this_trait.dataset.group.species }}, {{ this_trait.dataset.group.name }}</td> + <td width="150px"><b>Group</b></td> + <td>{{ this_trait.dataset.group.species[0]|upper }}{{ this_trait.dataset.group.species[1:] }}: {{ this_trait.dataset.group.name }} group</td> </tr> {% if this_trait.dataset.type == 'Publish' %} <tr> - <td>Tissue</td> - <td>{{ this_trait.dataset.tissue }}</td> - </tr> - <tr> - <td>Phenotype</td> + <td><b>Phenotype</b></td> <td><div style="width:40%;">{{ this_trait.description_fmt }}</div></td> </tr> <tr> - <td>Authors</td> + <td><b>Authors</b></td> <td><div style="width:40%;">{{ this_trait.authors }}</div></td> </tr> <tr> - <td>Title</td> + <td><b>Title</b></td> <td><div style="width:40%;">{{ this_trait.title }}</div></td> </tr> <tr> - <td>Journal</td> - <td>{{ this_trait.journal }} (<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids={{ this_trait.pubmed_id }}&dop=Abstract" title="PubMed">{{ this_trait.year }}</a>)</td> + <td><b>Journal</b></td> + <td>{{ this_trait.journal }} ({% if this_trait.pubmed_id %}<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids={{ this_trait.pubmed_id }}&dop=Abstract" target="_blank" title="PubMed">{{ this_trait.year }}</a>{% else %}{{ this_trait.year }}{% endif %})</td> + </tr> + {% else %} + <tr> + <td><b>Tissue</b></td> + <td>{{ this_trait.dataset.tissue }}</td> </tr> {% endif %} {% if this_trait.dataset.type == 'ProbeSet' %} {% if this_trait.symbol != None %} <tr> - <td>Gene Symbol</td> + <td><b>Gene Symbol</b></td> <td>{{ this_trait.symbol }}</td> </tr> {% endif %} <tr> - <td>Aliases</td> - <td>{{ this_trait.alias_fmt|replace(",",";") }}</td> + <td><b>Aliases</b></td> + <td>Wikidata: {{ this_trait.wikidata_alias_fmt|replace(",",";") }}</td> + </tr> + {% if this_trait.alias_fmt != "Not Available" %} + <tr> + <td></td> + <td>GeneNetwork: {{ this_trait.alias_fmt|replace(",",";") }}</td> </tr> {% endif %} + {% endif %} {% if this_trait.dataset.type != 'Publish' %} <tr> - <td>Location</td> + <td><b>Location</b></td> <td>{{ this_trait.location_fmt }}</td> </tr> {% endif %} + {% if ncbi_summary != None and ncbi_summary != "" %} + <tr> + <td><b>Summary</b></td> + <td>{{ ncbi_summary }}</td> + </tr> + {% endif %} <tr> - <td>Database</td> + <td><b>Database</b></td> <td> - <a href="http://genenetwork.org/dbdoc/{{ dataset.name }}.html"> + <a href="http://gn1.genenetwork.org/webqtl/main.py?FormID=sharinginfo&InfoPageName={{ dataset.name }}" target="_blank"> {{ dataset.fullname }} </a> </td> </tr> {% if this_trait.probe_set_specificity %} <tr> - <td>Target Score</td> + <td><b>Target Score</b></td> <td> - <a href="http://genenetwork.org/blatInfo.html" title="Values higher than 2 for the specificity are good"> + <a href="http://gn1.genenetwork.org/blatInfo.html" target="_blank" title="Values higher than 2 for the specificity are good"> BLAT Specificity </a>: {{ "%0.3f" | format(this_trait.probe_set_specificity|float) }} @@ -67,41 +80,131 @@ </tr> {% endif %} {% if this_trait.pubmed_id or this_trait.geneid or this_trait.omim or this_trait.symbol %} - {% if this_trait.dataset.type != 'Publish' %} <tr> - <td>Resource Links</td> + <td><b>Resource Links</b></td> <td> - {% if this_trait.pubmed_id %} - <a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids={{ this_trait.pubmed_id }}&dop=Abstract" title="PubMed"> + {% if pubmed_link %} + <a href="{{ pubmed_link }}" target="_blank" title="PubMed"> PubMed </a> {% endif %} - {% if this_trait.geneid %} - <a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene&cmd=Retrieve&dopt=Graphics&list_uids={{ this_trait.geneid }}" title="Info from NCBI Entrez Gene"> - NCBI + {% if ncbi_gene_link %} + <a href="{{ ncbi_gene_link }}" target="_blank" title="Info from NCBI Entrez Gene"> + Gene </a> {% endif %} - {% if this_trait.omim %} - <a href="http://www.ncbi.nlm.nih.gov/omim/{{ this_trait.omim }}" title="Summary from On Mendelion Inheritance in Man"> + {% if omim_link %} + <a href="{{ omim_link }}" target="_blank" title="Summary from On Mendelion Inheritance in Man"> OMIM </a> {% endif %} + {% if genemania_link %} + <a href="{{ genemania_link }}" target="_blank" title="GeneMANIA"> + GeneMANIA + </a> + + {% endif %} + {% if protein_atlas_link %} + <a href="{{ protein_atlas_link }}" target="_blank" title="Human Protein Atlas"> + Protein Atlas + </a> + + {% endif %} + {% if open_targets_link %} + <a href="{{ open_targets_link }}" target="_blank" title="Open Targets"> + Open Targets + </a> + + {% endif %} + {% if homologene_link %} + <a href="{{ homologene_link }}" target="_blank" title="Find similar genes in other species"> + HomoloGene + </a> + + {% endif %} {% if this_trait.symbol %} - <a href="http://www.genotation.org/Getd2g.pl?gene_list={{ this_trait.symbol }}" title="Related descriptive, genomic, clinical, functional and drug-therapy information"> + <!-- + <a href="{{ genotation_link }}" target="_blank" title="Related descriptive, genomic, clinical, functional and drug-therapy information"> Genotation </a> - <a href="https://www.gtexportal.org/home/gene/{{ this_trait.symbol }}" title="GTEx Portal"> + --> + {% if rgd_link %} + <a href="{{ rgd_link }}" target="_blank"> + Rat Genome DB + </a> + + {% endif %} + <a href="{{ gtex_link }}" target="_blank" title="GTEx Portal"> GTEx Portal </a> - {% endif %} + {% if genebridge_link %} + <a href="{{ genebridge_link }}" target="_blank"> + GeneBridge + </a> + {% endif %} + {% endif %} + <br> + {% if ucsc_blat_link %} + <a href="{{ ucsc_blat_link }}" target="_blank" title="Info from UCSC Genome Browser"> + UCSC + </a> + + {% endif %} + {% if biogps_link %} + <a href="{{ biogps_link }}" target="_blank" title="Expression across many tissues and cell types"> + BioGPS + </a> + + {% endif %} + {% if string_link %} + <a href="{{ string_link }}" target="_blank" title="Protein interactions: known and inferred"> + STRING + </a> + + {% endif %} + {% if panther_link %} + <a href="{{ panther_link }}" target="_blank" title="Gene and protein data resources from Celera-ABI"> + PANTHER + </a> + + {% endif %} + {% if gemma_link %} + <a href="{{ gemma_link }}" target="_blank" title="Meta-analysis of gene expression data"> + Gemma + </a> + + {% endif %} + {% if aba_link %} + <a href="{{ aba_link }}" target="_blank" title="Allen Brain Atlas"> + ABA + </a> + + {% endif %} + {% if ebi_gwas_link %} + <a href="{{ ebi_gwas_link }}" target="_blank" title="EBI GWAS"> + EBI GWAS + </a> + + {% endif %} + {% if wiki_pi_link %} + <a href="{{ wiki_pi_link }}" target="_blank" title="Wiki-Pi"> + Wiki-Pi + </a> + + {% endif %} + {% if uniprot_link %} + <a href="{{ uniprot_link }}" target="_blank" title="UniProt"> + UniProt + </a> + + {% endif %} </td> </tr> {% endif %} - {% endif %} </table> <div style="margin-bottom:15px;" class="btn-toolbar"> @@ -111,34 +214,34 @@ </a> {% if this_trait.dataset.type == 'ProbeSet' %} {% if this_trait.symbol != None %} - <a href="http://www.genenetwork.org/webqtl/main.py?cmd=sch&gene={{ this_trait.symbol }}&alias=1&species={{ dataset.group.species }}"> + <a target="_blank" href="http://gn1.genenetwork.org/webqtl/main.py?cmd=sch&gene={{ this_trait.symbol }}&alias=1&species={{ dataset.group.species }}"> <button type="button" class="btn btn-default" title="Find similar expression data">Find</button> </a> {% endif %} {% if UCSC_BLAT_URL != "" %} - <a href="{{ UCSC_BLAT_URL }}"> + <a target="_blank" href="{{ UCSC_BLAT_URL }}"> <button type="button" class="btn btn-default" title="Check probe locations at UCSC">Verify</button> </a> {% endif %} {% if this_trait.symbol != None %} - <a href="http://genenetwork.org/webqtl/main.py?FormID=geneWiki&symbol={{ this_trait.symbol }}"> + <a target="_blank" href="http://gn1.genenetwork.org/webqtl/main.py?FormID=geneWiki&symbol={{ this_trait.symbol }}"> <button type="button" class="btn btn-default" title="Write or review comments about this gene">GeneWiki</button> </a> - <a href="http://genenetwork.org/webqtl/main.py?FormID=SnpBrowserResultPage&submitStatus=1&diffAlleles=True&customStrain=True&geneName={{ this_trait.symbol }}"> + {% if dataset.group.species == "mouse" or dataset.group.species == "rat" %} + <a href="./snp_browser?first_run=true&species={{ dataset.group.species }}&gene_name={{ this_trait.symbol }}&limit_strains=on"> <button type="button" class="btn btn-default" title="View SNPs and Indels">SNPs</button> </a> {% endif %} - {% if UTHSC_BLAT_URL != "" %} - <a href="{{ UTHSC_BLAT_URL }}"> - <button type="button" class="btn btn-default" title="View probes, SNPs, and RNA-seq at UTHSC">RNA-seq</button> - </a> {% endif %} {% if show_probes == "True" %} - <a href="http://genenetwork.org/webqtl/main.py?FormID=showProbeInfo&database={{ this_trait.dataset.name }}&ProbeSetID={{ this_trait.name }}&CellID={{ this_trait.cellid }}&RISet={{ dataset.group.name }}&incparentsf1=ON"> + <a target="_blank" href="http://gn1.genenetwork.org/webqtl/main.py?FormID=showProbeInfo&database={{ this_trait.dataset.name }}&ProbeSetID={{ this_trait.name }}&CellID={{ this_trait.cellid }}&RISet={{ dataset.group.name }}&incparentsf1=ON"> <button type="button" class="btn btn-default" title="Check sequence of probes">Probes</button> </a> {% endif %} {% endif %} + <a target="_blank" href="http://gn1.genenetwork.org/webqtl/main.py?cmd=show&db={{ this_trait.dataset.name }}&probeset={{ this_trait.name }}"> + <button type="button" id="view_in_gn1" class="btn btn-primary" title="View Trait in GN1">View in GN1</button> + </a> </div> </div> diff --git a/wqflask/wqflask/templates/show_trait_edit_data.html b/wqflask/wqflask/templates/show_trait_edit_data.html index ac2f1078..05a2be73 100644 --- a/wqflask/wqflask/templates/show_trait_edit_data.html +++ b/wqflask/wqflask/templates/show_trait_edit_data.html @@ -1,167 +1,44 @@ <div> - <!--<h2>Review and Edit Data</h2>--> - - <div class="well form-horizontal"> - <fieldset id="showHideOptions"> - <legend>Block samples</legend> - <p>Edit or delete values in the Trait Data boxes, and use the - <strong>Reset</strong> option as - needed. - </p> - - <div id="blockMenuSpan" class="input-append" style="margin-bottom: 10px;"> - <label for="remove_samples_field">Block samples by index:</label> - <input type="text" id="remove_samples_field"> - <select id="block_group" size="1"> - <option value="primary"> - {{ sample_group_types['samples_primary'] }} - </option> - <option value="other"> - {{ sample_group_types['samples_other'] }} - </option> - </select> - <input type="button" id="block_by_index" class="btn" value="Block"> - </div> - <div id="remove_samples_invalid" class="alert alert-error" style="display:none;"> - Please check that your input is formatted correctly, e.g. <strong>3, 5-10, 12</strong> - </div> - {% if sample_groups[0].attributes %} - <div class="input-append" style="margin-top:10px; margin-bottom:10px;"> - <label for="exclude_menu">Block samples by group:</label> - <select id="exclude_menu" size=1> - {% for attribute in sample_groups[0].attributes %} - <option value="{{ sample_groups[0].attributes[attribute].name.replace(' ', '_') }}"> - {{ sample_groups[0].attributes[attribute].name }}</option> - {% endfor %} - </select> - <select id="attribute_values" size=1> - </select> - <input type="button" id="exclude_group" class="btn" value="Block"> - </div> - {% endif %} - <div> - <input type="button" id="hide_no_value" class="btn btn-default" value="Hide No Value"> - <input type="button" id="block_outliers" class="btn btn-default" value="Block Outliers"> - <input type="button" id="reset" class="btn btn-primary" value="Reset"> - <span class="input-append"> - <input type="button" id="export" class="btn btn-default" value="Export"> - <select id="export_format" class="select optional span2"> - <option value="excel">Excel</option> - <option value="csv">CSV</option> - </select> - </span> - <br> - <div style="margin-top:10px;"> - <input type="button" id="normalize" class="btn btn-default" value="Normalize"> - <select id="norm_method" class="select optional span2"> - <option value="log2">Log2</option> - <option value="qnorm">Quantile</option> - <option value="sqrt">Square Root</option> - </select> - </div> - <!-- - {% if sample_groups[0].sample_qnorm is not none %} - <input type="button" id="qnorm" class="btn btn-default" value="Quantile Normalize"> - {% endif %} - --> - </div> - </fieldset> - <br> - - <div> - <p>Outliers highlighted in - <strong style="background-color:yellow;">yellow</strong> - can be hidden using - the <strong>Hide Outliers</strong> button. - </p> - - <p>Samples with no value (x) can be hidden by clicking - <strong>Hide No Value</strong> button. - </p> - </div> - </div> - <br> - - - <!--<div id="edit_sample_lists">--> {% for sample_type in sample_groups %} + <div style="padding-bottom: 10px;"> + <div style="display: inline; height: 40px;"> + <input type="text" id="{{ sample_type.sample_group_type }}_searchbox" class="form-control" style="width: 200px; display: inline; float: left; vertical-align: top;" placeholder="Search This Table For ..."> + </div> + <div style="padding-left: 10px; display: inline;"> + <input type="button" class="btn btn-default export" value="Export"> + <select class="select optional span2 export_format"> + <option value="excel">Excel</option> + <option value="csv">CSV</option> + </select> + <input type="button" class="btn btn-success reset" value="Reset"> + </div> + </div> + <div id="export_code" style="width: 600px; display: none;"> + <pre style="padding-top: 0px; padding-bottom: 0px; height: 150px;"> + <code> +# read into R +trait <- read.csv("{{ this_trait.display_name}}.csv", header = TRUE, comment.char = "#") + +# read into python +import pandas as pd +trait = pd.read_csv("{{ this_trait.display_name}}.csv", header = 0, comment = "#") + </code> + </pre> + </div> {% set outer_loop = loop %} - <div class="sample_group" style="width:{{ trait_table_width }}%;"> - <h3>{{ sample_type.header }}</h3> - <hr> - <div id="table_container"> - <table class="table-hover table-striped" id="samples_{{ sample_type.sample_group_type }}" style="float: left;"> - <thead> - <tr> - <th></th> - <th>Index</th> - <th>Sample</th> - <th>Value</th> - {% if sample_type.se_exists() %} - <th> </th> - <th>SE</th> - {% endif %} - {% for attribute in sample_type.attributes|sort() %} - <th> - {{ sample_type.attributes[attribute].name }} - </th> - {% endfor %} - </tr> - </thead> - <tbody> - {% for sample in sample_type.sample_list %} - <tr class="{{ sample.class_outlier }} value_se" id="{{ sample.this_id }}"> - <td align="center" style="padding-right: 0px;" class="column_name-"><input type="checkbox" name="selectCheck" class="checkbox edit_sample_checkbox" value="{{ sample.name }}" checked="checked"> - </td> - <td class="column_name-Index" align="right">{{ loop.index }}</td> - <td class="column_name-Sample"> - <span class="edit_sample_sample_name"> - {{ sample.name }} - </span> - </td> - - {# Todo: Add IDs #} - <td class="column_name-Value" align="right"> - <input type="text" data-value="{{ sample.display_value }}" data-qnorm="{{ qnorm_vals[outer_loop.index - 1][loop.index - 1] }}" name="{{ 'value:' + sample.name }}" - style="text-align:right;" - class="trait_value_input edit_sample_value" - value="{{ sample.display_value }}" - size=6 maxlength=6 - > - </td> - - {% if sample_type.se_exists() %} - <td> - ± - </td> - - {# Todo: Add IDs #} - <td class="column_name-SE"> - <input type="text" data-value="{{ sample.display_variance }}" name="{{ 'variance:' + sample.name}}" - style="text-align:right;" - class="trait_value_input edit_sample_se" - value="{{ sample.display_variance }}" - size=8 maxlength=8 - > - </td> - {% endif %} - - {# Loop through each attribute type and input value #} - {% for attribute in sample_type.attributes|sort() %} - <td class="std_cell column_name-{{ sample_type.attributes[attribute].name.replace(' ', '_') }}"> - {{ sample.extra_attributes[sample_type.attributes[attribute].name] }} - </td> - {% endfor %} - </tr> - {% endfor %} - </tbody> - </table> - </div> + <div class="sample_group" style="width:{{ trait_table_width }};"> + <div style="position: relative;"> + <div style="display: inline;"><h3 style="float: left;">{{ sample_type.header }}<span name="transform_text"></span></h3> + </div> + <div id="table_container"> + <table class="table-hover table-striped cell-border" id="samples_{{ sample_type.sample_group_type }}" style="float: left; width:100%;"> + <tbody> + <td colspan="100%" align="center"><br><b><font size="15">Loading...</font></b><br></td> + </tbody> + </table> + </div> </div> <br> - {% endfor %} - <!--</div>--> - - + {% endfor %} <input type="hidden" name="Default_Name"> </div> diff --git a/wqflask/wqflask/templates/show_trait_mapping_tools.html b/wqflask/wqflask/templates/show_trait_mapping_tools.html index 495a266e..777d4a2d 100755 --- a/wqflask/wqflask/templates/show_trait_mapping_tools.html +++ b/wqflask/wqflask/templates/show_trait_mapping_tools.html @@ -1,33 +1,21 @@ <div> {% if dataset.group.mapping_names|length > 0 %} - <div class="col-xs-5"> + <div class="col-xs-3" style="min-width: 400px;"> <div class="tabbable"> <!-- Only required for left/right tabs --> <ul class="nav nav-pills"> - {% if dataset.group.mapping_id == "1" %} - <li class="active"> + {% for mapping_method in dataset.group.mapping_names %} + {% if mapping_method == "GEMMA" %} + <li class="gemma_tab mapping_tab {% if dataset.group.mapping_id == '1' or dataset.group.mapping_id == '2' %}active{% endif %}"> <a href="#gemma" data-toggle="tab">GEMMA</a> </li> - <li> - <a href="#interval_mapping" data-toggle="tab">Interval Mapping</a> - </li> - <li> + {% elif mapping_method == "R/qtl" %} + <li class="rqtl_geno_tab mapping_tab {% if dataset.group.mapping_id == '3' %}active{% endif %}"> <a href="#rqtl_geno" data-toggle="tab">R/qtl</a> </li> -<!-- - <li> - <a href="#pylmm" data-toggle="tab">pyLMM</a> - </li> ---> - {% endif %} - {% for mapping_method in dataset.group.mapping_names %} - {% if mapping_method == "GEMMA" %} - <li class="active"> - <a href="#gemma_plink" data-toggle="tab">GEMMA</a> - </li> - {% elif mapping_method == "PLINK" %} - <li> - <a href="#plink" data-toggle="tab">PLINK</a> + {% elif mapping_method == "QTLReaper" %} + <li class="reaper_tab mapping_tab"> + <a href="#interval_mapping" data-toggle="tab">Haley-Knott Regression</a> </li> {% endif %} {% endfor %} @@ -37,8 +25,20 @@ </ul> <div class="tab-content"> - <div class="tab-pane active" id="gemma"> + {% for mapping_method in dataset.group.mapping_names %} + {% if mapping_method == "GEMMA" %} + <div class="tab-pane {% if dataset.group.mapping_id == '1' or dataset.group.mapping_id == '2' %}active{% endif %}" id="gemma"> <div style="padding-top: 20px;" class="form-horizontal"> + <div class="mapping_method_fields form-group"> + <label for="chr_select" style="text-align: right;" class="col-xs-3 control-label">Chromosome</label> + <div style="margin-left:20px;" class="col-xs-2 controls"> + <select id="chr_gemma" class="form-control" style="width: 80px;"> + {% for item in chr_list %} + <option value="{{ item[1] }}">{{ item[0] }}</option> + {% endfor %} + </select> + </div> + </div> {% if genofiles and genofiles|length>0 %} <div class="mapping_method_fields form-group"> <label for="genofiles" style="text-align: right;" class="col-xs-3 control-label">Genotypes</label> @@ -52,9 +52,9 @@ </div> {% endif %} <div class="mapping_method_fields form-group"> - <label for="maf_gemma" style="text-align: right;" class="col-xs-3 control-label">MAF</label> + <label for="maf_gemma" style="text-align: right;" class="col-xs-3 control-label">MAF >=</label> <div style="margin-left:20px;" class="col-xs-4 controls"> - <input name="maf_gemma" value="0.01" type="text" class="form-control"> + <input name="maf_gemma" value="{{ maf }}" type="text" class="form-control" style="width: 80px;"> </div> </div> <div class="mapping_method_fields form-group"> @@ -71,26 +71,19 @@ </div> </div> <div class="mapping_method_fields form-group"> - <label style="text-align: right;" class="col-xs-3 control-label">Covariates</label> + <div class="col-xs-3" style="text-align: right;"> + <label class="control-label">Covariates</label> + <font size="2">Select covariate(s) from a collection</font> + </div> <div style="margin-left:20px;" class="col-xs-7"> - {% if g.user_session.logged_in %} {% if g.user_session.num_collections < 1 %} No collections available. Please add traits to a collection to use them as covariates. {% else %} - <div style="margin-bottom: 10px;" class="btn-group" role="group"> - <button type="button" id="select_covariates" class="btn btn-default">Select</button> - <button type="button" id="remove_covariates" class="btn btn-default">Remove</button> + <div style="margin-bottom: 10px;"> + <button type="button" id="select_covariates" class="btn btn-default" style="width: 80px; padding-right: 10px;">Select</button> + <button type="button" id="remove_covariates" class="btn btn-default" style="width: 80px;">Remove</button> </div> - <textarea rows="3" cols="20" readonly placeholder="No covariates selected" style="overflow-y: scroll; resize: none;" class="selected_covariates"></textarea> - {% endif %} - {% elif g.cookie_session.display_num_collections() == "" %} - No collections available. Please add traits to a collection to use them as covariates. - {% else %} - <div style="margin-bottom: 10px;" class="btn-group" role="group"> - <button type="button" id="select_covariates" class="btn btn-default">Select</button> - <button type="button" id="remove_covariates" class="btn btn-default">Remove</button> - </div> - <textarea rows="3" cols="20" readonly placeholder="No covariates selected" style="overflow-y: scroll; resize: none;" class="selected_covariates"></textarea> + <textarea rows="3" cols="50" readonly placeholder="No covariates selected" style="overflow-y: scroll; resize: none; width: 200px;" class="selected_covariates"></textarea> {% endif %} </div> </div> @@ -104,9 +97,28 @@ </div> </div> </div> - {% if dataset.group.mapping_id == "1" %} + {% elif mapping_method == "QTLReaper" %} <div class="tab-pane" id="interval_mapping"> <div style="margin-top: 20px" class="form-horizontal"> + <div class="mapping_method_fields form-group"> + <label for="reaper_version" style="text-align: right;" class="col-xs-3 control-label">Version<sup><a title="'New' is the new qtlreaper implementation written in RUST by Christian Fischer. 'Original' corresponds to the original version written in C.">?</a></sup></label> + <div style="margin-left:20px;" class="col-xs-3 controls"> + <select name="reaper_version" class="form-control" style="width: 80px;"> + <option value="new">New</option> + <option value="original">Original</option> + </select> + </div> + </div> + <div class="mapping_method_fields form-group"> + <label for="chr_select" style="text-align: right;" class="col-xs-3 control-label">Chromosome</label> + <div style="margin-left:20px;" class="col-xs-2 controls"> + <select id="chr_reaper" class="form-control" style="width: 80px;"> + {% for item in chr_list %} + <option value="{{ item[1] }}">{{ item[0] }}</option> + {% endfor %} + </select> + </div> + </div> {% if genofiles and genofiles|length>0 %} <div class="mapping_method_fields form-group"> <label style="text-align: right;" for="genofiles" class="col-xs-3 control-label">Genotypes</label> @@ -132,13 +144,15 @@ </div> </div> <div class="mapping_method_fields form-group"> - <label style="text-align: right;" for="control_for" class="col-xs-3 control-label">Control for</label> + <label style="text-align: right;" for="control_for" class="col-xs-3 control-label">Control for<br>Cofactors</label> <div style="margin-left:20px;" class="col-xs-6 controls"> {% if dataset.type == 'ProbeSet' and this_trait.locus_chr != "" %} - <input name="control_reaper" value="{{ nearest_marker }}" type="text" style="width: 160px;" class="form-control" /> + <input name="control_reaper" value="{{ nearest_marker }}" type="text" style="width: 160px; display: inline-block;" class="form-control" /> {% else %} - <input name="control_reaper" value="" type="text" class="form-control" /> + <input name="control_reaper" value="" type="text" style="display: inline-block; padding-right: 10px;" class="form-control" /> {% endif %} + <input type="radio" name="do_control_reaper" value="true"> Yes <input type="radio" name="do_control_reaper" value="false" checked="" style="margin-left: 10px;"> No</span> + <!-- <label class="radio-inline"> <input type="radio" name="do_control_reaper" value="true"> Yes @@ -147,6 +161,7 @@ <input type="radio" name="do_control_reaper" value="false" checked=""> No </label> + --> </div> </div> @@ -175,14 +190,14 @@ </div> --> <div class="mapping_method_fields form-group"> - <label style="text-align: right;" class="col-xs-3 control-label">Marker<br>Regression</label> + <label style="text-align: right;" class="col-xs-3 control-label">Interval Map</label> <div style="margin-left:20px;" class="col-xs-6 controls"> <label class="radio-inline"> - <input type="radio" name="manhattan_plot_reaper" value="True"> + <input type="radio" name="manhattan_plot_reaper" value="False" checked=""> Yes </label> <label class="radio-inline"> - <input type="radio" name="manhattan_plot_reaper" value="False" checked=""> + <input type="radio" name="manhattan_plot_reaper" value="True"> No </label> </div> @@ -197,8 +212,19 @@ </div> </div> </div> - <div class="tab-pane" id="rqtl_geno"> + {% elif mapping_method == "R/qtl" %} + <div class="tab-pane {% if dataset.group.mapping_id == '3' %}active{% endif %}" id="rqtl_geno"> <div style="margin-top: 20px" class="form-horizontal"> + <div class="mapping_method_fields form-group"> + <label for="chr_select" style="text-align: right;" class="col-xs-3 control-label">Chromosome</label> + <div style="margin-left:20px;" class="col-xs-2 controls"> + <select id="chr_rqtl_geno" class="form-control" style="width: 80px;"> + {% for item in chr_list %} + <option value="{{ item[1] }}">{{ item[0] }}</option> + {% endfor %} + </select> + </div> + </div> {% if genofiles and genofiles|length>0 %} <div class="mapping_method_fields form-group"> <label style="text-align:right;" for="genofiles" class="col-xs-3 control-label">Genotypes</label> @@ -214,9 +240,24 @@ <div class="mapping_method_fields form-group"> <label style="text-align:right;" for="mapping_permutations" class="col-xs-3 control-label">Permutations</label> <div style="margin-left:20px;" class="col-xs-4 controls"> - <input name="num_perm_rqtl_geno" value="2000" type="text" class="form-control"> + <input name="num_perm_rqtl_geno" value="200" type="text" class="form-control"> + </div> + </div> + {% if sample_groups[0].attributes|length > 0 %} + <div class="mapping_method_fields form-group"> + <label style="text-align:right;" class="col-xs-3 control-label">Stratified</label> + <div style="margin-left:20px;" class="col-xs-6 controls"> + <label class="radio-inline"> + <input type="radio" name="perm_strata" value="True" checked=""> + Yes + </label> + <label class="radio-inline"> + <input type="radio" name="perm_strata" value="False" > + No + </label> </div> </div> + {% endif %} <div class="mapping_method_fields form-group"> <label style="text-align:right;" for="control_for" class="col-xs-3 control-label">Control for</label> <div style="margin-left:20px;" class="col-xs-6 controls"> @@ -237,31 +278,40 @@ </div> <div class="mapping_method_fields form-group"> - <label style="text-align:right;" for="mapmethod_rqtl_geno" class="col-xs-3 control-label">Method</label> + <label style="text-align:right;" for="mapmodel_rqtl_geno" class="col-xs-3 control-label">Model</label> <div style="margin-left:20px;" class="col-xs-4 controls"> - <select name="mapmethod_rqtl_geno" class="form-control"> - <option value="em">em</option> - <option value="imp">imp</option> - <option value="hk">hk</option> - <option value="ehk">ehk</option> - <option value="mr">mr</option> - <option value="mr-imp">mr-imp</option> - <option value="mr-argmax">mr-argmax</option> + <select id="mapmodel_rqtl_geno" name="mapmodel_rqtl_geno" class="form-control"> + <option value="normal">Normal</option> + {% if binary == "true" %}<option value="binary">Binary</option>{% endif %} + <!--<option value="2part">2-part</option>--> + <option value="np">Non-parametric</option> </select> </div> </div> <div class="mapping_method_fields form-group"> - <label style="text-align:right;" for="mapmodel_rqtl_geno" class="col-xs-3 control-label">Model</label> - <div style="margin-left:20px;" class="col-xs-4 controls"> - <select name="mapmodel_rqtl_geno" class="form-control"> - <option value="normal">normal</option> - <!--<option value="binary">binary</option> - <option value="2part">2part</option>--> - <option value="np">np</option> + <label style="text-align:right;" for="mapmethod_rqtl_geno" class="col-xs-3 control-label">Method</label> + <div style="margin-left:20px;" class="col-xs-6 controls"> + <select id="mapmethod_rqtl_geno" name="mapmethod_rqtl_geno" class="form-control"> + <option value="hk" selected>Haley-Knott</option> + <option value="ehk">Extended Haley-Knott</option> + <option value="mr">Marker Regression</option> + <option value="em">Expectation-Maximization</option> + <option value="imp">Imputation</option> </select> </div> </div> + <div id="missing_geno_div" class="mapping_method_fields form-group" style="display: none;"> + <label style="text-align:right;" for="missing_genotypes" class="col-xs-3 control-label"></label> + <div style="margin-left:20px;" class="col-xs-6 controls"> + <select id="missing_genotype" name="missing_genotypes" class="form-control"> + <option value="mr">Remove Samples w/o Genotypes</option> + <option value="mr-imp">Single Imputation</option> + <option value="mr-argmax">Imputation w/ Viterbi Algorithm</option> + </select> + </div> + </div> + <!-- <div class="mapping_method_fields form-group"> <label style="text-align:left;" class="col-xs-12 control-label">Pair Scan</label> @@ -278,7 +328,7 @@ </div> --> <div class="mapping_method_fields form-group"> - <label style="text-align:right;" class="col-xs-3 control-label">Marker<br>Regression</label> + <label style="text-align:right;" class="col-xs-3 control-label">Manhattan<br>Plot</label> <div style="margin-left:20px;" class="col-xs-6 controls"> <label class="radio-inline"> <input type="radio" name="manhattan_plot_rqtl" value="True"> @@ -290,35 +340,27 @@ </label> </div> </div> - <div class="mapping_method_fields form-group"> - <label class="col-xs-3 control-label"></label> - <div style="margin-left:20px;" class="col-xs-6"> - <button id="rqtl_geno_compute" class="btn submit_special btn-success" data-url="/marker_regression" title="Compute Interval Mapping"> - Compute - </button> + <div class="col-xs-3" style="text-align: right;"> + <label class="control-label">Covariates</label> + <font size="2">Select covariate(s) from a collection</font> </div> - </div> - </div> - </div> - <div class="tab-pane" id="pylmm"> - <div style="margin-top: 20px" class="form-horizontal"> - {% if genofiles and genofiles|length>0 %} - <div class="mapping_method_fields form-group"> - <label style="text-align:right;" class="col-xs-3 control-label">Genotypes</label> - <div style="margin-left: 20px;" class="col-xs-4 controls"> - <select id="genofile_pylmm" class="form-control"> - {% for item in genofiles %} - <option value="{{item['location']}}:{{item['title']}}">{{item['title']}}</option> - {% endfor %} - </select> + <div style="margin-left:20px;" class="col-xs-7"> + {% if g.user_session.num_collections < 1 %} + No collections available. Please add traits to a collection to use them as covariates. + {% else %} + <div style="margin-bottom: 10px;"> + <button type="button" class="btn btn-default select_covariates" style="width: 80px; padding-right: 10px;">Select</button> + <button type="button" class="btn btn-default remove_covariates" style="width: 80px;">Remove</button> + </div> + <textarea rows="3" cols="50" readonly placeholder="No covariates selected" style="overflow-y: scroll; resize: none; width: 200px;" class="selected_covariates"></textarea> + {% endif %} </div> </div> - {% endif %} <div class="mapping_method_fields form-group"> <label class="col-xs-3 control-label"></label> <div style="margin-left:20px;" class="col-xs-6"> - <button id="pylmm_compute" class="btn submit_special btn-success" data-url="/marker_regression" title="Compute Interval Mapping"> + <button id="rqtl_geno_compute" class="btn submit_special btn-success" data-url="/marker_regression" title="Compute Interval Mapping"> Compute </button> </div> @@ -326,24 +368,28 @@ </div> </div> {% endif %} + {% endfor %} </div> </div> </div> - <div class="col-xs-5"> - <dl> - <dt>GEMMA</dt> - <dd>GEMMA is software implementing the Genome-wide Efficient Mixed Model Association algorithm for a standard linear mixed model for genome-wide association studies (GWAS).</dd> - {% if dataset.group.mapping_id == "1" %} - <dt>Interval Mapping</dt> - <dd>Interval mapping is a process in which the statistical significance of a hypothetical QTL is evaluated at regular points across a chromosome, even in the absence of explicit genotype data at those points.</dd> - <dt>R/qtl</dt> - <dd>R/qtl is an extensible, interactive environment for mapping quantitative trait loci (QTL) in experimental crosses.</dd> -<!-- - <dt>pyLMM</dt> - <dd>pyLMM is a fast and lightweight linear mixed-model (LMM) solver for use in genome-wide association studies (GWAS).</dd> ---> + <div class="col-xs-7"> + <dl style="width: 500px;"> + {% for mapping_method in dataset.group.mapping_names %} + {% if mapping_method == "GEMMA" %} + <dt style="padding-top: 20px;">GEMMA</dt> + <dd>Maps traits with correction for kinship among samples using a linear mixed model method, and also allows users to fit multiple covariates such as sex, age, treatment, and genetic markers (<a href="https://www.ncbi.nlm.nih.gov/pubmed/24531419">PMID: 2453419</a>, and <a href="https://github.com/genetics-statistics/GEMMA"> GitHub code</a>). GEMMA incorporates the Leave One Chromosome Out (LOCO) method to ensure that the correction for kinship does not remove useful genetic variance near each marker. Markers can be filtered to include only those with minor allele frequencies (MAF) above a threshold. The default MAF is 0.05.</dd> + {% elif mapping_method == "R/qtl" %} + <dt style="margin-top: 20px;">R/qtl</dt> + <dd>The original R/qtl mapping package that supports classic experimental crosses including 4-parent F2 intercrosses (e.g., NIA ITP UM-HET3). R/qtl is ideal for populations that do not have complex kinship or admixture (<a href="https://www.ncbi.nlm.nih.gov/pubmed/12724300">PMID: 12724300</a>). Both R/qtl as implemented here, and R/qtl2 (<a href="https://www.ncbi.nlm.nih.gov/pubmed/30591514">PMID: 30591514</a>) are available as <a href="https://kbroman.org/pages/software.html">R suites</a>.</dd> + {% elif mapping_method == "QTLReaper" %} + <dt style="margin-top: 20px;">Haley-Knott Regression</dt> + <dd>Fast linear mapping method (<a href="https://www.ncbi.nlm.nih.gov/pubmed/16718932">PMID 16718932</a>) works well with F2 intercrosses and backcrosses, but that is not recommended for complex or admixed populations (e.g., GWAS or heterogeneous stock studies) or for advanced intercrosses, recombinant inbred families, or diallel crosses. Interactive plots in GeneNetwork have relied on the fast HK mapping for two decades and we still use this method for mapping omics data sets and computing genome-wide permutation threshold (<a href="https://github.com/pjotrp/QTLReaper">QTL Reaper code</a>).</dd> {% endif %} + {% endfor %} </dl> + <div class="rqtl_description" style="padding-top: 40px; display: none;"> + More information on R/qtl mapping models and methods can be found <a href="http://www.rqtl.org/tutorials/rqtltour.pdf">here</a>. + </div> </div> <div id="mapping_result_holder_wrapper" style="display:none;"> <div id="mapping_result_holder"></div> diff --git a/wqflask/wqflask/templates/show_trait_statistics.html b/wqflask/wqflask/templates/show_trait_statistics.html index 988c8047..974081d3 100644 --- a/wqflask/wqflask/templates/show_trait_statistics.html +++ b/wqflask/wqflask/templates/show_trait_statistics.html @@ -5,21 +5,24 @@ <a href="#stats_tab" data-toggle="tab">Basic Statistics</a> </li> <li> - <a href="#histogram_tab" data-toggle="tab">Histogram</a> + <a href="#histogram_tab" class="histogram_tab" data-toggle="tab">Histogram</a> </li> + {% if num_values < 256 %} <li> - <a href="#bar_chart_tab" data-toggle="tab">Bar Chart</a> + <a href="#bar_chart_tab" class="bar_chart_tab" data-toggle="tab">Bar Chart</a> </li> + {% endif %} <li> - <a href="#probability_plot" data-toggle="tab">Probability Plot</a> + <a href="#probability_plot" class="prob_plot_tab" data-toggle="tab">Probability Plot</a> </li> - {% if g.user_session.logged_in %} <li> - <a href="#scatterplot_matrix" data-toggle="tab">Scatterplot Matrix</a> + <a href="#box_plot_tab" class="box_plot_tab" data-toggle="tab">Box Plot</a> + </li> + <li> + <a href="#violin_plot_tab" class="violin_plot_tab" data-toggle="tab">Violin Plot</a> </li> - {% endif %} <li> - <a href="#box_plot_tab" data-toggle="tab">Box Plot</a> + <a href="#scatterplot_matrix" data-toggle="tab">Scatterplot Matrix</a> </li> </ul> @@ -43,7 +46,8 @@ <div id="histogram" class="barchart"></div> </div> </div> - </div> + </div> + {% if num_values < 256 %} <div class="tab-pane" id="bar_chart_tab"> <div style="padding: 20px" class="form-horizontal"> {% if sample_groups|length != 1 %} @@ -64,7 +68,7 @@ </select> </div> {% endif %} - <div id="update_bar_chart" class="btn-group"> + <div id="update_bar_chart" class="btn-group" style="margin-bottom: 5px;"> <button type="button" class="btn btn-default sort_by_name" value="name"> <i class="icon-resize-horizontal"></i> Sort By Name </button> @@ -72,30 +76,17 @@ <i class="icon-signal"></i> Sort By Value </button> </div> - {% if g.user_session.logged_in %} <div class="btn-group"> <button type="button" class="btn btn-default" id="color_by_trait"> <i class="icon-tint"></i> Color by Trait </button> </div> - {% endif %} - <!-- - <div class="row" style="position:relative"> - <div id="bar_chart_legend" style="margin-left: 150px; margin-top:20px; position: absolute;"> - <span id="legend-left"></span> - <span id="legend-colors"></span> - <span id="legend-right"></span> - </div> - </div> - <div style="margin-left: 20px; margin-right: 20px;" class="row" id="bar_chart_container"> - <svg></svg> - </div> - --> <div id="bar_chart_container"> <div id="bar_chart"></div> </div> </div> </div> + {% endif %} <div class="tab-pane" id="probability_plot"> <div style="padding: 20px" class="form-horizontal"> {% if sample_groups|length != 1 %} @@ -126,7 +117,11 @@ <div id="box_plot"></div> </div> </div> - {% if g.user_session.logged_in %} + <div class="tab-pane" id="violin_plot_tab"> + <div id="violin_plot_container"> + <div id="violin_plot"></div> + </div> + </div> <div class="tab-pane" id="scatterplot_matrix"> <div style="margin-bottom:40px;" class="btn-group"> @@ -141,7 +136,6 @@ <div id="comparison_scatterplot" class="qtlcharts"></div> </div> </div> - {% endif %} </div> </div> <!--</div>--> diff --git a/wqflask/wqflask/templates/show_trait_transform_and_filter.html b/wqflask/wqflask/templates/show_trait_transform_and_filter.html new file mode 100644 index 00000000..4be6d249 --- /dev/null +++ b/wqflask/wqflask/templates/show_trait_transform_and_filter.html @@ -0,0 +1,83 @@ +<div> + <div class="form-horizontal"> + <p>Edit or delete values in the Trait Data boxes, and use the + <strong>Reset</strong> option as + needed. + </p> + + <div id="blockMenuSpan" class="input-append" style="margin-bottom: 10px;"> + <label for="remove_samples_field">Block samples by index:</label> + <input type="text" id="remove_samples_field" placeholder="Example: 3, 5-10, 12"> + <select id="block_group" size="1"> + <option value="primary"> + {{ sample_group_types['samples_primary'] }} + </option> + <option value="other"> + {{ sample_group_types['samples_other'] }} + </option> + </select> + <input type="button" id="block_by_index" class="btn btn-danger" value="Block"> + </div> + <div id="remove_samples_invalid" class="alert alert-error" style="display:none;"> + Please check that your input is formatted correctly, e.g. <strong>3, 5-10, 12</strong> + </div> + {% if sample_groups[0].attributes %} + <div class="input-append" style="margin-top:10px; margin-bottom:10px;"> + <label for="exclude_menu">Block samples by group:</label> + <select id="exclude_menu" size=1> + {% for attribute in sample_groups[0].attributes %} + <option value="{{ sample_groups[0].attributes[attribute].name.replace(' ', '_') }}"> + {{ sample_groups[0].attributes[attribute].name }}</option> + {% endfor %} + </select> + <select id="attribute_values" size=1> + </select> + <input type="button" id="exclude_group" class="btn" value="Block"> + </div> + {% endif %} + <div> + <input type="button" id="hide_no_value" class="btn btn-default" value="Hide No Value"> + <input type="button" id="block_outliers" class="btn btn-default" value="Block Outliers"> + <input type="button" class="btn btn-success reset" value="Reset"> + <span class="input-append"> + <input type="button" class="btn btn-default export" value="Export"> + <select class="select optional span2 export_format"> + <option value="excel">Excel</option> + <option value="csv">CSV</option> + </select> + </span> + <br> + <div style="margin-top:10px;"> + <input type="button" id="normalize" class="btn btn-success" value="Normalize"> + <select id="norm_method" class="select optional span2"> + {% if negative_vals_exist == "false" %} + <option value="log2">Log2</option> + <option value="log10">Log10</option> + {% endif %} + <option value="zscore">Z-score</option> + <option value="qnorm">Quantile</option> + <option value="sqrt">Square Root</option> + <option value="invert">Invert +/-</option> + </select> + </div> + <!-- + {% if sample_groups[0].sample_qnorm is not none %} + <input type="button" id="qnorm" class="btn btn-default" value="Quantile Normalize"> + {% endif %} + --> + </div> + <br> + + <div> + <p>Outliers highlighted in + <strong style="background-color:yellow;">yellow</strong> + can be hidden using + the <strong>Hide Outliers</strong> button. + </p> + + <p>Samples with no value (x) can be hidden by clicking + <strong>Hide No Value</strong> button. + </p> + </div> + </div> +</div>
\ No newline at end of file diff --git a/wqflask/wqflask/templates/snp_browser.html b/wqflask/wqflask/templates/snp_browser.html new file mode 100644 index 00000000..4422ba73 --- /dev/null +++ b/wqflask/wqflask/templates/snp_browser.html @@ -0,0 +1,514 @@ +{% extends "base.html" %} +{% block css %} + <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/css/jquery.dataTables.css" /> + <link rel="stylesheet" type="text/css" href="/static/new/packages/DataTables/extensions/buttons.bootstrap.css" /> + <link rel="stylesheet" type="text/css" href="/static/new/css/typeahead-bootstrap.css" /> + <link rel="stylesheet" type="text/css" href="/static/new/css/snp_browser.css" /> +{% endblock %} +{% block content %} + + <div class="container-fluid"> + <h2>Variant Browser <a class="btn btn-primary" href="http://genenetwork.org/snpbrowser.html" role="button">Info</a></h2> + <hr style="height: 1px; background-color: #A9A9A9;"> + <div class="container" style="border-style: double; position: relative; width: 950px; padding-top: 10px; padding-right: 40px;"> + <form id="snp_browser_form" method="get" action="/snp_browser"> + <input type="hidden" name="first_run" value="{{ first_run }}"> + <input type="hidden" name="chosen_strains_mouse" value="{{ chosen_strains_mouse|join(",") }}"> + <input type="hidden" name="chosen_strains_rat" value="{{ chosen_strains_rat|join(",") }}"> + <div class="col-xs-4" style="padding-left: 0px;"> + <div class="form-group row" style="margin-bottom: 5px;"> + <label for="snp_or_indel" style="text-align: right;" class="col-xs-4 col-form-label"><b>Type:</b></label> + <div class="col-xs-8"> + <select name="variant"> + <option value="SNP" {% if variant_type == "SNP" %}selected{% endif %}>SNP</option> + <option value="InDel" {% if variant_type == "InDel" %}selected{% endif %}>InDel</option> + </select> + </div> + </div> + <div class="form-group row" style="margin-bottom: 5px;"> + <label for="species" style="text-align: right;" class="col-xs-4 col-form-label"><b>Species:</b></label> + <div class="col-xs-8"> + <select id="species_select" name="species"> + <option value="Mouse" {% if species_name == "Mouse" %}selected{% endif %}>Mouse</option> + <option value="Rat" {% if species_name == "Rat" %}selected{% endif %}>Rat</option> + <option value="Human" disabled>Human</option> + </select> + </div> + </div> + <div class="form-group row" style="margin-bottom: 5px;"> + <label for="gene_or_id" style="text-align: right;" class="col-xs-4 col-form-label"><b>Gene or ID:</b></label> + <div class="col-xs-8"> + <input type="text" name="gene_name" size="12" value="{{ gene_name }}"> + </div> + </div> + <div class="form-group row"> + <div style="text-align: center;"><b><font color="red">Or select</font></b></div> + </div> + <div class="form-group row" style="margin-bottom: 5px;"> + <label for="chr" style="text-align: right;" class="col-xs-4 col-form-label"><b>Chr:</b></label> + <div class="col-xs-8"> + <select id="chr_select" name="chr"> + {% for item in this_chr_list %} + <option value="{{ item }}" {% if item == chr %}selected{% endif %}>{{ item }}</option> + {% endfor %} + </select> + </div> + </div> + <div class="form-group row" style="margin-bottom: 5px;"> + <label for="start_mb" style="text-align: right;" class="col-xs-4 col-form-label"><b>Mb:</b></label> + <div class="col-xs-8"> + <input type="text" name="start_mb" size="10" value="{{ start_mb }}"> + </div> + </div> + <div class="form-group row"> + <label for="end_mb" style="text-align: right;" class="col-xs-4 col-form-label">to</label> + <div class="col-xs-8"> + <input type="text" name="end_mb" size="10" value="{{ end_mb }}"> + </div> + </div> + <hr> + <div class="form-group row"> + <label class="col-xs-4 col-form-label"></label> + <div class="col-xs-8"> + <button class="btn btn-primary" type="submit">Search</button> + </div> + </div> + </div> + <div class="col-xs-4" style="padding-left: 0px;"> + <div class="form-group row" style="margin-bottom: 10px;"> + <label for="strains" style="text-align: right;" class="col-xs-4 col-form-label"><b>Strains:</b></label> + <div class="col-xs-8"> + <select id="strain_select" name="strains" style="width: 70%;"> + {% if species_name == "Mouse" %} + {% for strain in strain_lists['mouse'] %} + <option value="{{ strain }}" {% if loop.index == 1 %}selected{% endif %}>{{ strain }}</option> + {% endfor %} + {% elif species_name == "Rat" %} + {% for strain in strain_lists['rat'] %} + <option value="{{ strain }}" {% if loop.index == 1 %}selected{% endif %}>{{ strain }}</option> + {% endfor %} + {% endif %} + </select> + <div style="float: right; line-height: 20px;"> + <input class="btn btn-primary" type="button" name="add_strain" value="Add" style="vertical-align: middle;"> + </div> + </div> + </div> + <div class="form-group row"> + <label for="chosen_strains_select" style="text-align: right;" class="col-xs-4 col-form-label"><b><font color="red">Limit to:</font></b> <input type="checkbox" name="limit_strains" {% if limit_strains == "true" %}checked{% endif %} size="100"></label> + <div class="col-xs-8"> + <select id="chosen_strains_select" size="11" style="width: 70%;"> + {% for strain in chosen_strains %} + <option value="{{ strain }}">{{ strain }}</option> + {% endfor %} + </select> + <div style="float: right; line-height: 189px;"> + <input class="btn btn-primary" type="button" name="remove_strain" value="Cut" style="vertical-align: middle;"> + </div> + </div> + </div> + </div> + <div class="col-xs-4" style="padding-left: 20px;"> + <div class="form-group row" style="margin-bottom: 5px;"> + <label for="domain" style="text-align: right;" class="col-xs-4 col-form-label"><b>Domain:</b></label> + <div class="col-xs-8"> + <select name="domain" size="4"> + <option value="All" {% if domain == "All" %}selected{% endif %}>All</option> + <option value="Exon" {% if domain == "Exon" %}selected{% endif %}>Exon</option> + <option value="5' UTR" {% if domain == "5' UTR" %}selected{% endif %}> 5' UTR</option> + <option value="Coding" {% if domain == "Coding" %}selected{% endif %}> Coding Region</option> + <option value="3' UTR" {% if domain == "3' UTR" %}selected{% endif %}> 3' UTR</option> + <option value="Intron" {% if domain == "Intron" %}selected{% endif %}>Intron</option> + <option value="Splice Site" {% if domain == "Splice Site" %}selected{% endif %}> Splice Site</option> + <option value="Nonsplice Site" {% if domain == "Nonsplice Site" %}selected{% endif %}> Nonsplice Site</option> + <option value="Upstream" {% if domain == "Upstream" %}selected{% endif %}>Upstream</option> + <option value="Downstream" {% if domain == "Downstream" %}selected{% endif %}>Downstream</option> + <option value="Intergenic" {% if domain == "Intergenic" %}selected{% endif %}>Intergenic</option> + </select> + </div> + </div> + <div class="form-group row" style="margin-bottom: 5px;"> + <label for="function" style="text-align: right;" class="col-xs-4 col-form-label"><b>Function:</b></label> + <div class="col-xs-8"> + <select name="function" size="3"> + <option value="All" {% if function == "All" %}selected{% endif %}>All</option> + <option value="Nonsynonymous" {% if function == "Nonsynonymous" %}selected{% endif %}>Nonsynonymous</option> + <option value="Synonymous" {% if function == "Synonymous" %}selected{% endif %}>Synonymous</option> + <option value="Start Gained" {% if function == "Start Gained" %}selected{% endif %}>Start Gained</option> + <option value="Start Lost" {% if function == "Start Lost" %}selected{% endif %}>Start Lost</option> + <option value="Stop Gained" {% if function == "Stop Gained" %}selected{% endif %}>Stop Gained</option> + <option value="Stop Lost" {% if function == "Stop Lost" %}selected{% endif %}>Stop Lost</option> + </select> + </div> + </div> + <div class="form-group row" style="margin-bottom: 5px;"> + <label for="source" style="text-align: right;" class="col-xs-4 col-form-label"><b>Source:</b></label> + <div class="col-xs-8"> + <select name="source"> + <option value="All" {% if source == "All" %}selected{% endif %}>All</option> + <option value="None" {% if source == "None" %}selected{% endif %}>None</option> + <option value="dbSNP" {% if source == "dbSNP" %}selected{% endif %}>dbSNP</option> + <option value="dbSNP (release 149)" {% if source == "dbSNP (release 149)" %}selected{% endif %}>dbSNP (release 149)</option> + <option value="Sanger/UCLA" {% if source == "Sanger/UCLA" %}selected{% endif %}>Sanger/UCLA</option> + <option value="UTHSC_CITG" {% if source == "UTHSC_CITG" %}selected{% endif %}>UTHSC_CITG</option> + </select> + </div> + </div> + <div class="form-group row"> + <label for="criteria" style="text-align: right;" class="col-xs-4 col-form-label"><b>ConScore:</b></label> + <div class="col-xs-8"> + <select name="criteria" size="1"> + <option value=">=" {% if criteria == ">=" %}selected{% endif %}>>=</option> + <option value="==" {% if criteria == "==" %}selected{% endif %}>=</option> + <option value="<=" {% if criteria == "<=" %}selected{% endif %}><=</option> + </select> + <input type="text" name="score" value="{{ score }}" size="5"> + </div> + </div> + <div class="form-group row" style="margin-bottom: 5px;"> + <label style="text-align: right;" class="col-xs-4 col-form-label"><input type="checkbox" name="redundant" {% if redundant == "true" %}checked{% endif %}></label> + <div class="col-xs-8"> + Non-redundant SNP Only + </div> + </div> + <div class="form-group row"> + <label style="text-align: right;" class="col-xs-4 col-form-label"><input type="checkbox" name="diff_alleles" {% if diff_alleles == "true" %}checked{% endif %}></label> + <div class="col-xs-8"> + Different Alleles Only + </div> + </div> + </div> + </form> + </div> + + <div style="margin-top: 20px;"> + {% if filtered_results is defined %} + {% if filtered_results|length > limit_number %} + There are more than 10000 results. Consider limiting your search to a smaller range. + {% else %} + <table class="dataTable cell-border nowrap" id="results_table" style="float: left;"> + <thead> + <tr> + <th></th> + {% if header_fields|length == 2 %} + {% for header in header_fields[0] %} + <th data-export="{{ header }}">{{ header }}</th> + {% endfor %} + {% for strain in header_fields[1] %} + <th data-export="{{ strain }}" style="align: center; text-align: center; line-height: 15px;">{% for letter in strain %}<div style="transform: rotate(90deg);">{{ letter }}</div>{% endfor %}</th> + {% endfor %} + {% else %} + {% for header in header_fields %} + <th data-export="{{ header }}">{{ header }}</th> + {% endfor %} + {% endif %} + </tr> + </thead> + <tbody> + <td colspan="100%" align="center"><br><b><font size="15">Loading...</font></b><br></td> + </tbody> + </table> + {% endif %} + {% endif %} + </div> + </div> + +{% endblock %} +{% block js %} + <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/jquery.dataTables.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/packages/DataTables/js/dataTables.naturalSort.js"></script> + <script language="javascript" type="text/javascript" src="/static/new/js_external/typeahead.bundle.js"></script> + + <script language="javascript" type="text/javascript" src="/static/new/javascript/typeahead_rn6.json"></script> + + <script type='text/javascript'> + var json_rows = {{ table_rows|safe }}; + var empty_columns = {{ empty_columns|safe }}; + </script> + + <script language="javascript"> + + var substringMatcher = function(strs) { + return function findMatches(q, cb) { + var matches, substringRegex; + + // an array that will be populated with substring matches + matches = []; + + // regex used to determine if a string contains the substring `q` + substrRegex = new RegExp(q, 'i'); + + // iterate through the pool of strings and for any string that + // contains the substring `q`, add it to the `matches` array + $.each(strs, function(i, str) { + if (substrRegex.test(str)) { + matches.push(str); + } + }); + + cb(matches); + }; + }; + + $('input[name=gene_name]').typeahead({ + minLength: 2, + hint: true, + highlight: true + }, + { + name: 'rn6-genes', + source: substringMatcher(rat_genes) + }); + + {% if filtered_results is defined %} + $("#results_table").DataTable( { + 'data': json_rows, + {% if variant_type == "SNP" %} + 'columns': [ + { + 'data': null, + 'orderable': false, + 'render': function(data, type, row, meta) { + return '<input type="checkbox" name="trait_check">' + } + }, { + 'data': 'index' + }, { + 'data': null, + 'render': function(data, type, row, meta) { + if (data.rs != "") { + return '<b><a href="' + data.snp_url + '">' + data.snp_name + '</a></b>' + } else { + return '<a href="' + data.snp_url + '">' + data.snp_name + '</a>' + } + } + }, { + 'data': 'chr' + }, { + 'data': 'mb_formatted' + }, { + 'data': 'alleles' + }, {% if empty_columns['snp_source'] == "true" %}{ + 'data': null, + 'render': function(data, type, row, meta) { + if (data.snp_source == "Sanger/UCLA") { + return '<a href="' + data.source_urls[0] + '">Sanger</a><a href="' + data.source_urls[1] + '">UCLA</a>' + } else { + return data.snp_source + } + } + }, {% endif %} {% if empty_columns['conservation_score'] == "true" %}{ + 'data': 'conservation_score' + }, {% endif %} {% if empty_columns['gene_name'] == "true" %}{ + 'data': null, + 'render': function(data, type, row, meta) { + if (data.gene_name != "") { + return '<i>' + data.gene_name + '</i><br><a href="' + data.gene_link + '">NCBI</a>' + } else { + return data.gene_name + } + } + }, {% endif %} {% if empty_columns['transcript'] == "true" %}{ + 'data': null, + 'render': function(data, type, row, meta) { + if (data.transcript != "") { + return '<a href="' + data.transcript_link + '">' + data.transcript + '</a>' + } else { + return data.transcript + } + } + }, {% endif %} {% if empty_columns['exon'] == "true" %}{ + 'data': 'exon' + }, {% endif %}{ + 'data': 'domain_1' + }, {% if empty_columns['domain_2'] == "true" %}{ + 'data': 'domain_2' + }, {% endif %} {% if empty_columns['function'] == "true" %}{ + 'data': 'function' + }, {% endif %} {% if empty_columns['function_details'] == "true" %}{ + 'data': 'function_details' + }, {% endif %} {% for item in allele_list %} { + 'data': null, + 'orderable': false, + 'render': function(data, type, row, meta) { + if (typeof data.allele_value_list[{{ loop.index - 1 }}][0] !== "undefined") { + return data.allele_value_list[{{ loop.index - 1 }}][0] + } else { + return '' + } + } + }{% if loop.index < allele_list|length %},{% endif %}{% endfor %} + ], + 'createdRow': function( row, data, dataIndex) { + $('td', row).eq(0).attr("style", "text-align: center; padding: 4px 10px 2px 10px;"); + $('td', row).eq(1).attr("align", "right"); + for (i = {{ 15 - empty_field_count }}; i < ({{ 15 - empty_field_count }} + {{ allele_list|length }}); i++) { + var this_allele = $('td', row).eq(i).text(); + $('td', row).eq(i).attr("style", "text-align: center; padding: 4px 10px 2px 10px;"); + switch (this_allele) { + case "A": + $('td', row).eq(i).addClass('A_allele_color'); + break; + case "C": + $('td', row).eq(i).addClass('C_allele_color'); + break; + case "T": + $('td', row).eq(i).addClass('T_allele_color'); + break; + case "G": + $('td', row).eq(i).addClass('G_allele_color'); + break; + case "t": + $('td', row).eq(i).addClass('t_allele_color'); + break; + case "c": + $('td', row).eq(i).addClass('c_allele_color'); + break; + case "a": + $('td', row).eq(i).addClass('a_allele_color'); + break; + case "g": + $('td', row).eq(i).addClass('g_allele_color'); + break; + default: + $('td', row).eq(i).addClass('default_allele_color'); + } + } + }, + {% else %} + 'columns': [ + { + 'data': null, + 'render': function(data, type, row, meta) { + return '<input type="checkbox" name="trait_check">' + } + }, { + 'data': 'index' + }, { + 'data': 'indel_name' + }, { + 'data': 'indel_type' + }, { + 'data': 'indel_chr' + }, { + 'data': 'indel_mb_s' + }, { + 'data': 'indel_mb_e' + }, { + 'data': 'indel_strand' + }, { + 'data': 'indel_size' + }, { + 'data': 'indel_sequence' + }, { + 'data': 'source_name' + } + ], + {% endif %} + 'order': [[1, "asc" ]], + 'sDom': "rti", + 'iDisplayLength': -1, + 'processing': true, + 'language': { + 'loadingRecords': ' ', + 'processing': 'Loading...' + } + }); + {% endif %} + + $("#species_select").change(function() { + this_species = $(this).val(); + $("#strain_select").empty() + $("#chosen_strains_select").empty() + $("#chr_select").empty() + + if (this_species == "Mouse") { + {% for strain in strain_lists["mouse"] %} + var option = $('<option></option>').attr("value", "{{ strain }}").text("{{ strain }}"); + $("select[name=strains]").append(option); + {% endfor %} + + {% for chr in mouse_chr_list %} + var option = $('<option></option>').attr("value", "{{ chr }}").text("{{ chr }}"); + $("select[name=chr]").append(option); + {% endfor %} + + chosen_strains = $("input[name=chosen_strains_mouse]").val().split(",") + } else if (this_species == "Rat") { + {% for strain in strain_lists["rat"] %} + var option = $('<option></option>').attr("value", "{{ strain }}").text("{{ strain }}"); + $("select[name=strains]").append(option); + {% endfor %} + + {% for chr in rat_chr_list %} + var option = $('<option></option>').attr("value", "{{ chr }}").text("{{ chr }}"); + $("select[name=chr]").append(option); + {% endfor %} + + chosen_strains = $("input[name=chosen_strains_rat]").val().split(",") + } + + for (i=0; i < chosen_strains.length; i++) { + var option = $('<option></option>').attr("value", chosen_strains[i]).text(chosen_strains[i]); + $("#chosen_strains_select").append(option) + } + }); + + $("input[name=add_strain]").click(function() { + var selected_strain = $("select[name=strains] option:selected").val(); + + var current_species = $("#species_select").val(); + if (current_species == "Mouse") { + stored_strains = $("input[name=chosen_strains_mouse]").val().split(",") + if (!(stored_strains.includes(selected_strain))){ + stored_strains.push(selected_strain) + $("input[name=chosen_strains_mouse]").val(stored_strains.join(",")) + $("#chosen_strains_select").append("<option value='" + selected_strain + "'>" + selected_strain + "</option>"); + } + } else if (current_species == "Rat") { + stored_strains = $("input[name=chosen_strains_rat]").val().split(",") + if (!(stored_strains.includes(selected_strain))){ + stored_strains.push(selected_strain) + $("input[name=chosen_strains_rat]").val(stored_strains.join(",")) + $("#chosen_strains_select").append("<option value='" + selected_strain + "'>" + selected_strain + "</option>"); + } + } + }); + + $("input[name=remove_strain]").click(function() { + var selected_strain = $("#chosen_strains_select option:selected").val(); + $("#chosen_strains_select option[value='" + selected_strain + "']").remove(); + + var current_species = $("#species_select").val(); + + if (current_species == "Mouse") { + stored_strains = $("input[name=chosen_strains_mouse]").val().split(",") + for (i=0; i < stored_strains.length; i++) { + if (stored_strains[i] == selected_strain) { + stored_strains.splice(i, 1); + break; + } + } + $("input[name=chosen_strains_mouse]").val(stored_strains.join(",")) + } else if (current_species == "Rat") { + stored_strains = $("input[name=chosen_strains_rat]").val().split(",") + for (i=0; i < stored_strains.length; i++) { + if (stored_strains[i] == selected_strain) { + stored_strains.splice(i, 1); + break; + } + } + $("input[name=chosen_strains_rat]").val(stored_strains.join(",")) + } + }); + + $("#snp_browser_form").submit(function() { + var strain_list = []; + $("#chosen_strains_select option").each(function() { + strain_list.push($(this).val()); + }); + $("input[name=chosen_strains]").val(strain_list.join(",")); + }); + </script> +{% endblock %} + diff --git a/wqflask/wqflask/templates/submit_trait.html b/wqflask/wqflask/templates/submit_trait.html index e93c1c9d..68b06f55 100644 --- a/wqflask/wqflask/templates/submit_trait.html +++ b/wqflask/wqflask/templates/submit_trait.html @@ -8,7 +8,7 @@ {{ flash_me() }} <div class="row" style="width: 1400px !important;"> - <div class="col-xs-5"> + <div class="col-xs-3"> <section id="description"> <div> <h2 style="color: #5a5a5a;">Introduction</h2> @@ -32,8 +32,8 @@ <div class="form-group"> <h2 style="color: #5a5a5a;">Trait Submission Form</h2> <hr> - <div style="padding-bottom: 50px;" class="form-horizontal"> - <h3>1. Choose cross or RI set:</h3> + <div style="margin-bottom: 150px;" class="form-horizontal"> + <h3>1. Choose Species and Group:</h3> <br> <div class="col-xs-2" style="min-height: 15vh; display: flex; align-items: center;"> <img src="/static/new/images/step1.gif"> @@ -52,33 +52,34 @@ </div> </div> </div> - <div class="form-horizontal"><img src="/static/new/images/arrowdown.gif" style="display:block; margin-left: 50%; margin-right: 50%;"></div> </div> <div style="padding-bottom: 50px;" class="form-horizontal"> <h3>2. Enter Trait Data:</h3> - <h4 style="color:red;">WARNING: File uploading isn't enabled yet, so please paste your values using the second option.</h4> + <h4 style="color:red;">File uploading isn't enabled yet, but is coming soon.</h4> <br> - <div class="col-xs-2" style="min-height: 100vh; display: flex; align-items: center;"> + <div class="col-xs-2" style="min-height: 50vh; max-height: 100vh; display: flex; align-items: center;"> <img src="/static/new/images/step2.gif"> </div> <div class="col-xs-10"> + <!-- <div class="form-group" style="padding-left: 15px;"> <p> <b>From a File:</b> You can enter data by entering a file name here. The file should contain a series of numbers representing trait values. - The values can be on one line separated by spaces or tabs, or they can be on separate lines. Include one value for each progeny individual - or recombinant inbred line. Represent missing values with a non-numeric character such as "x". If you have chosen a recombinant inbred set, - when you submit your data will be displayed in a form where you can confirm and/or edit them. If you enter a file name here, any data that + The values can be on one line separated by spaces or tabs, or they can be on separate lines. Include one value for each progeny individual + or recombinant inbred line. Represent missing values with a non-numeric character such as "x". If you have chosen a recombinant inbred set, + when you submit your data will be displayed in a form where you can confirm and/or edit them. If you enter a file name here, any data that you paste into the next section will be ignored. </p> <input type="file" name="trait_file" style="border-width: 1px; border-style: solid; border-color: #999999;"> </div> + --> <div class="form-group" style="padding-left: 15px;"> <p> - <b>By Pasting or Typing Multiple Values:</b> You can enter data by pasting a series of numbers representing trait values into this area. - The values can be on one line separated by spaces or tabs, or they can be on separate lines. Include one value for each progeny individual - or recombinant inbredline. Represent missing values with a non-numeric character such as "x". If you have chosen a recombinant inbred set, - when you submit your data will be displayed in a form where you can confirm and/or edit them. If you enter a file name in the previous section, - any data that you paste here will be ignored. Check sample data for the correct format. + <b>Paste or Type Multiple Values:</b> You can enter data by pasting a series of numbers representing trait values into this area. + The values can be on one line separated by spaces or tabs, or they can be on separate lines. Include one value for each individual + or line. Use an "x" for missing values. If you have chosen a set of inbred strains, then your data will be displayed in a form in + which you can confirm and/or edit. If you enter a file name in the previous section, + any data that you paste here will be ignored. Check <a href="http://gn1.genenetwork.org/RIsample.html">sample data</a> for the correct format. </p> <textarea name="trait_paste" rows="6" cols="70"></textarea> </div> diff --git a/wqflask/wqflask/templates/tutorials.html b/wqflask/wqflask/templates/tutorials.html new file mode 100644 index 00000000..3e6ef01c --- /dev/null +++ b/wqflask/wqflask/templates/tutorials.html @@ -0,0 +1,17 @@ +{% extends "base.html" %} +{% block title %}Tutorials/Primers{% endblock %} +{% block content %} + +<Table width= "100%" cellSpacing=0 cellPadding=5><TR> +<!-- Body Start from Here --> +<TD valign="top" height="200" width="100%"> + <P class="title"><H2>Tutorials/Primers</H2></P> + <UL> + <LI><A HREF="http://www.nervenet.org/tutorials/HS_Rat_Using_GeneNetwork_21Apr2020v7.pptx">Statistical and genetic functions, +and initial mapping results for Rat GWAS P50 as implemented in GeneNetwork.org</A><P></P> + </UL> + <P></P> +</TD> +</TR></TABLE> + +{% endblock %} diff --git a/wqflask/wqflask/templates/webgestalt_page.html b/wqflask/wqflask/templates/webgestalt_page.html new file mode 100644 index 00000000..36b3cebf --- /dev/null +++ b/wqflask/wqflask/templates/webgestalt_page.html @@ -0,0 +1,35 @@ +{% extends "base.html" %} +{% block title %}{% if wrong_input == "True" %}WebGestalt Error{% else %}Opening WebGestalt{% endif %}{% endblock %} +{% block content %} + {% if wrong_input == "True" %} + {{ header("Error") }} + + <div class="container"> + {% if chip_name == "mixed" %} + <h3>Sorry, the analysis was interrupted because your selections from GeneNetwork apparently include data from more than one array platform (i.e., Affymetrix U74A and M430 2.0). Most WebGestalt analyses assume that you are using a single array type and compute statistical values on the basis of that particular array. Please reselect traits from a signle platform and submit again.</h3> + {% elif chip_name == "not_microarray" %} + <h3>You need to select at least one microarray trait to submit.</hr> + {% elif '_NA' in chip_name %} + <h3>Sorry, the analysis was interrupted because your selections from GeneNetwork apparently include data from platform {{ chip_name }} which is unknown by WebGestalt. Please reselect traits and submit again.</h3> + {% else %} + <h3>Sorry, an error occurred while submitting your traits to WebGestalt.</h3> + {% endif %} + </div> + {% else %} + <div class="container"> + <h3>Opening WebGestalt...</h3> + </div> + <form method="post" action="http://www.webgestalt.org/option.php" name="WebGestalt"> + {% for key in hidden_vars %} + <input type="hidden" name="{{ key }}" value="{{ hidden_vars[key] }}"> + {% endfor %} + </form> + {% endif %} +{% endblock %} +{% block js %} +{% if wrong_input == "False" %} +<script type="text/javascript"> + setTimeout('document.WebGestalt.submit()', 1000); +</script> +{% endif %} +{% endblock %}
\ No newline at end of file diff --git a/wqflask/wqflask/user_login.py b/wqflask/wqflask/user_login.py new file mode 100644 index 00000000..edd272c2 --- /dev/null +++ b/wqflask/wqflask/user_login.py @@ -0,0 +1,464 @@ +from __future__ import print_function, division, absolute_import + +import os +import hashlib +import datetime +import time +import logging +import uuid +import hmac +import base64 +import requests + +import simplejson as json + +import redis # used for collections +Redis = redis.StrictRedis() + +from flask import (Flask, g, render_template, url_for, request, make_response, + redirect, flash, abort) + +from wqflask import app +from wqflask import pbkdf2 +from wqflask.user_session import UserSession + +from utility import hmac +from utility.redis_tools import is_redis_available, get_user_id, get_user_by_unique_column, set_user_attribute, save_user, save_verification_code, check_verification_code, get_user_collections, save_collections + +from utility.logger import getLogger +logger = getLogger(__name__) + +from smtplib import SMTP +from utility.tools import SMTP_CONNECT, SMTP_USERNAME, SMTP_PASSWORD, LOG_SQL_ALCHEMY + +THREE_DAYS = 60 * 60 * 24 * 3 + +def timestamp(): + return datetime.datetime.utcnow().isoformat() + +def basic_info(): + return dict(timestamp = timestamp(), + ip_address = request.remote_addr, + user_agent = request.headers.get('User-Agent')) + +def encode_password(pass_gen_fields, unencrypted_password): + hashfunc = getattr(hashlib, pass_gen_fields['hashfunc']) + + salt = base64.b64decode(pass_gen_fields['salt']) + encrypted_password = pbkdf2.pbkdf2_hex(str(unencrypted_password), + pass_gen_fields['salt'], + pass_gen_fields['iterations'], + pass_gen_fields['keylength'], + hashfunc) + + pass_gen_fields.pop("unencrypted_password", None) + pass_gen_fields["password"] = encrypted_password + + return pass_gen_fields + +def set_password(password): + pass_gen_fields = { + "unencrypted_password": password, + "algorithm": "pbkdf2", + "hashfunc": "sha256", + "salt": base64.b64encode(os.urandom(32)), + "iterations": 100000, + "keylength": 32, + "created_timestamp": timestamp() + } + + assert len(password) >= 6, "Password shouldn't be shorter than 6 characters" + + encoded_password = encode_password(pass_gen_fields, pass_gen_fields['unencrypted_password']) + + return encoded_password + +def get_signed_session_id(user): + session_id = str(uuid.uuid4()) + + session_id_signature = hmac.hmac_creation(session_id) + session_id_signed = session_id + ":" + session_id_signature + + #ZS: Need to check if this is ever actually used or exists + if 'user_id' not in user: + user['user_id'] = str(uuid.uuid4()) + save_user(user, user['user_id']) + + if 'github_id' in user: + session = dict(login_time = time.time(), + user_type = "github", + user_id = user['user_id'], + github_id = user['github_id'], + user_name = user['name'], + user_url = user['user_url']) + elif 'orcid' in user: + session = dict(login_time = time.time(), + user_type = "orcid", + user_id = user['user_id'], + github_id = user['orcid'], + user_name = user['name'], + user_url = user['user_url']) + else: + session = dict(login_time = time.time(), + user_type = "gn2", + user_id = user['user_id'], + user_name = user['full_name'], + user_email_address = user['email_address']) + + key = UserSession.user_cookie_name + ":" + session_id + Redis.hmset(key, session) + Redis.expire(key, THREE_DAYS) + + return session_id_signed + +def send_email(toaddr, msg, fromaddr="no-reply@genenetwork.org"): + """Send an E-mail through SMTP_CONNECT host. If SMTP_USERNAME is not + 'UNKNOWN' TLS is used + + """ + if SMTP_USERNAME == 'UNKNOWN': + server = SMTP(SMTP_CONNECT) + server.sendmail(fromaddr, toaddr, msg) + else: + server = SMTP(SMTP_CONNECT) + server.starttls() + server.login(SMTP_USERNAME, SMTP_PASSWORD) + server.sendmail(fromaddr, toaddr, msg) + server.quit() + logger.info("Successfully sent email to "+toaddr) + +def send_verification_email(user_details, template_name = "email/verification.txt", key_prefix = "verification_code", subject = "GeneNetwork email verification"): + verification_code = str(uuid.uuid4()) + key = key_prefix + ":" + verification_code + + data = json.dumps(dict(id=user_details['user_id'], timestamp = timestamp())) + + Redis.set(key, data) + Redis.expire(key, THREE_DAYS) + + recipient = user_details['email_address'] + body = render_template(template_name, verification_code = verification_code) + send_email(recipient, subject, body) + return {"recipient": recipient, "subject": subject, "body": body} + +@app.route("/n/login", methods=('GET', 'POST')) +def login(): + params = request.form if request.form else request.args + logger.debug("in login params are:", params) + + if not params: #ZS: If coming to page for first time + from utility.tools import GITHUB_AUTH_URL, GITHUB_CLIENT_ID, ORCID_AUTH_URL, ORCID_CLIENT_ID + external_login = {} + if GITHUB_AUTH_URL and GITHUB_CLIENT_ID != 'UNKNOWN': + external_login["github"] = GITHUB_AUTH_URL + if ORCID_AUTH_URL and ORCID_CLIENT_ID != 'UNKNOWN': + external_login["orcid"] = ORCID_AUTH_URL + return render_template("new_security/login_user.html", external_login = external_login, redis_is_available=is_redis_available()) + else: #ZS: After clicking sign-in + if 'type' in params and 'uid' in params: + user_details = get_user_by_unique_column("user_id", params['uid']) + if user_details: + session_id_signed = get_signed_session_id(user_details) + if 'name' in user_details and user_details['name'] != "None": + display_id = user_details['name'] + elif 'github_id' in user_details: + display_id = user_details['github_id'] + elif 'orcid' in user_details: + display_id = user_details['orcid'] + else: + display_id = "" + flash("Thank you for logging in {}.".format(display_id), "alert-success") + response = make_response(redirect(url_for('index_page'))) + response.set_cookie(UserSession.user_cookie_name, session_id_signed, max_age=None) + else: + flash("Something went unexpectedly wrong.", "alert-danger") + response = make_response(redirect(url_for('index_page'))) + return response + else: + user_details = get_user_by_unique_column("email_address", params['email_address']) + password_match = False + if user_details: + submitted_password = params['password'] + pwfields = user_details['password'] + if type(pwfields) is str: + pwfields = json.loads(pwfields) + encrypted_pass_fields = encode_password(pwfields, submitted_password) + password_match = pbkdf2.safe_str_cmp(encrypted_pass_fields['password'], pwfields['password']) + + else: # Invalid e-mail + flash("Invalid e-mail address. Please try again.", "alert-danger") + response = make_response(redirect(url_for('login'))) + + return response + if password_match: # If password correct + if user_details['confirmed']: # If account confirmed + import_col = "false" + anon_id = "" + if 'import_collections' in params: + import_col = "true" + anon_id = params['anon_id'] + + session_id_signed = get_signed_session_id(user_details) + flash("Thank you for logging in {}.".format(user_details['full_name']), "alert-success") + response = make_response(redirect(url_for('index_page', import_collections = import_col, anon_id = anon_id))) + response.set_cookie(UserSession.user_cookie_name, session_id_signed, max_age=None) + return response + else: + email_ob = send_verification_email(user_details) + return render_template("newsecurity/verification_still_needed.html", subject=email_ob['subject']) + else: # Incorrect password + #ZS: It previously seemed to store that there was an incorrect log-in attempt here, but it did so in the MySQL DB so this might need to be reproduced with Redis + flash("Invalid password. Please try again.", "alert-danger") + response = make_response(redirect(url_for('login'))) + + return response + +@app.route("/n/login/github_oauth2", methods=('GET', 'POST')) +def github_oauth2(): + from utility.tools import GITHUB_CLIENT_ID, GITHUB_CLIENT_SECRET, GITHUB_AUTH_URL + code = request.args.get("code") + data = { + "client_id": GITHUB_CLIENT_ID, + "client_secret": GITHUB_CLIENT_SECRET, + "code": code + } + + result = requests.post("https://github.com/login/oauth/access_token", json=data) + result_dict = {arr[0]:arr[1] for arr in [tok.split("=") for tok in [token.encode("utf-8") for token in result.text.split("&")]]} + + github_user = get_github_user_details(result_dict["access_token"]) + + user_details = get_user_by_unique_column("github_id", github_user["id"]) + if user_details == None: + user_details = { + "user_id": str(uuid.uuid4()), + "name": github_user["name"].encode("utf-8") if github_user["name"] else "None", + "github_id": github_user["id"], + "user_url": github_user["html_url"].encode("utf-8"), + "login_type": "github", + "organization": "", + "active": 1, + "confirmed": 1 + } + save_user(user_details, user_details["user_id"]) + + url = "/n/login?type=github&uid="+user_details["user_id"] + return redirect(url) + +def get_github_user_details(access_token): + from utility.tools import GITHUB_API_URL + result = requests.get(GITHUB_API_URL, headers = {'Authorization':'token ' + access_token }).content + + return json.loads(result) + +@app.route("/n/login/orcid_oauth2", methods=('GET', 'POST')) +def orcid_oauth2(): + from uuid import uuid4 + from utility.tools import ORCID_CLIENT_ID, ORCID_CLIENT_SECRET, ORCID_TOKEN_URL, ORCID_AUTH_URL + code = request.args.get("code") + error = request.args.get("error") + url = "/n/login" + if code: + data = { + "client_id": ORCID_CLIENT_ID, + "client_secret": ORCID_CLIENT_SECRET, + "grant_type": "authorization_code", + "code": code + } + result = requests.post(ORCID_TOKEN_URL, data=data) + result_dict = json.loads(result.text.encode("utf-8")) + + user_details = get_user_by_unique_column("orcid", result_dict["orcid"]) + if user_details == None: + user_details = { + "user_id": str(uuid4()), + "name": result_dict["name"], + "orcid": result_dict["orcid"], + "user_url": "%s/%s" % ("/".join(ORCID_AUTH_URL.split("/")[:-2]), result_dict["orcid"]), + "login_type": "orcid", + "organization": "", + "active": 1, + "confirmed": 1 + } + save_user(user_details, user_details["user_id"]) + + url = "/n/login?type=orcid&uid="+user_details["user_id"] + else: + flash("There was an error getting code from ORCID") + return redirect(url) + +def get_github_user_details(access_token): + from utility.tools import GITHUB_API_URL + result = requests.get(GITHUB_API_URL, headers = {'Authorization':'token ' + access_token }).content + + return json.loads(result) + + +@app.route("/n/logout") +def logout(): + logger.debug("Logging out...") + UserSession().delete_session() + flash("You are now logged out. We hope you come back soon!") + response = make_response(redirect(url_for('index_page'))) + # Delete the cookie + response.set_cookie(UserSession.user_cookie_name, '', expires=0) + return response + +@app.route("/n/forgot_password", methods=['GET']) +def forgot_password(): + """Entry point for forgotten password""" + print("ARGS: ", request.args) + errors = {"no-email": request.args.get("no-email")} + print("ERRORS: ", errors) + return render_template("new_security/forgot_password.html", errors=errors) + +def send_forgot_password_email(verification_email): + from email.MIMEMultipart import MIMEMultipart + from email.MIMEText import MIMEText + + template_name = "email/forgot_password.txt" + key_prefix = "forgot_password_code" + subject = "GeneNetwork password reset" + fromaddr = "no-reply@genenetwork.org" + + verification_code = str(uuid.uuid4()) + key = key_prefix + ":" + verification_code + + data = { + "verification_code": verification_code, + "email_address": verification_email, + "timestamp": timestamp() + } + + save_verification_code(verification_email, verification_code) + + body = render_template(template_name, verification_code = verification_code) + + msg = MIMEMultipart() + msg["To"] = verification_email + msg["Subject"] = subject + msg["From"] = fromaddr + msg.attach(MIMEText(body, "plain")) + + send_email(verification_email, msg.as_string()) + + return subject + +@app.route("/n/forgot_password_submit", methods=('POST',)) +def forgot_password_submit(): + """When a forgotten password form is submitted we get here""" + params = request.form + email_address = params['email_address'] + next_page = None + if email_address != "": + logger.debug("Wants to send password E-mail to ", email_address) + user_details = get_user_by_unique_column("email_address", email_address) + if user_details: + email_subject = send_forgot_password_email(user_details["email_address"]) + return render_template("new_security/forgot_password_step2.html", + subject=email_subject) + else: + flash("The e-mail entered is not associated with an account.", "alert-danger") + return redirect(url_for("forgot_password")) + + else: + flash("You MUST provide an email", "alert-danger") + return redirect(url_for("forgot_password")) + +@app.route("/n/password_reset", methods=['GET']) +def password_reset(): + """Entry point after user clicks link in E-mail""" + logger.debug("in password_reset request.url is:", request.url) + + verification_code = request.args.get('code') + hmac = request.args.get('hm') + + if verification_code: + user_email = check_verification_code(verification_code) + if user_email: + user_details = get_user_by_unique_column('email_address', user_email) + if user_details: + return render_template( + "new_security/password_reset.html", user_encode=user_details["email_address"]) + else: + flash("Invalid code: User no longer exists!", "error") + else: + flash("Invalid code: Password reset code does not exist or might have expired!", "error") + else: + return redirect(url_for("login")) + +@app.route("/n/password_reset_step2", methods=('POST',)) +def password_reset_step2(): + """Handle confirmation E-mail for password reset""" + logger.debug("in password_reset request.url is:", request.url) + + errors = [] + user_email = request.form['user_encode'] + + password = request.form['password'] + encoded_password = set_password(password) + + set_user_attribute(user_id, "password", encoded_password) + + flash("Password changed successfully. You can now sign in.", "alert-info") + response = make_response(redirect(url_for('login'))) + + return response + +def register_user(params): + thank_you_mode = False + errors = [] + user_details = {} + + user_details['email_address'] = params.get('email_address', '').encode("utf-8").strip() + if not (5 <= len(user_details['email_address']) <= 50): + errors.append('Email Address needs to be between 5 and 50 characters.') + else: + email_exists = get_user_by_unique_column("email_address", user_details['email_address']) + if email_exists: + errors.append('User already exists with that email') + + user_details['full_name'] = params.get('full_name', '').encode("utf-8").strip() + if not (5 <= len(user_details['full_name']) <= 50): + errors.append('Full Name needs to be between 5 and 50 characters.') + + user_details['organization'] = params.get('organization', '').encode("utf-8").strip() + if user_details['organization'] and not (5 <= len(user_details['organization']) <= 50): + errors.append('Organization needs to be empty or between 5 and 50 characters.') + + password = str(params.get('password', '')) + if not (6 <= len(password)): + errors.append('Password needs to be at least 6 characters.') + + if params.get('password_confirm') != password: + errors.append("Passwords don't match.") + + user_details['password'] = set_password(password) + user_details['user_id'] = str(uuid.uuid4()) + user_details['confirmed'] = 1 + + user_details['registration_info'] = basic_info() + save_user(user_details, user_details['user_id']) + + return errors + +@app.route("/n/register", methods=('GET', 'POST')) +def register(): + errors = [] + + params = request.form if request.form else request.args + params = params.to_dict(flat=True) + + if params: + logger.debug("Attempting to register the user...") + errors = register_user(params) + + if len(errors) == 0: + flash("Registration successful. You may login with your new account", "alert-info") + return redirect(url_for("login")) + + return render_template("new_security/register_user.html", values=params, errors=errors) + +@app.errorhandler(401) +def unauthorized(error): + return redirect(url_for('login'))
\ No newline at end of file diff --git a/wqflask/wqflask/user_manager.py b/wqflask/wqflask/user_manager.py index 87149cdb..1b27d7cb 100644 --- a/wqflask/wqflask/user_manager.py +++ b/wqflask/wqflask/user_manager.py @@ -36,7 +36,8 @@ logger = getLogger(__name__) from base.data_set import create_datasets_list import requests -from utility.elasticsearch_tools import get_elasticsearch_connection, get_user_by_unique_column, get_item_by_unique_column, save_user, es_save_data + +from utility.redis_tools import get_user_id, get_user_by_unique_column, set_user_attribute, save_user, save_verification_code, check_verification_code, get_user_collections, save_collections from smtplib import SMTP from utility.tools import SMTP_CONNECT, SMTP_USERNAME, SMTP_PASSWORD, LOG_SQL_ALCHEMY @@ -70,7 +71,7 @@ class AnonUser(object): members = new_collection.get_members()) Redis.set(self.key, json.dumps(collection_dict)) - Redis.expire(self.key, 60 * 60 * 24 * 5) + Redis.expire(self.key, 60 * 60 * 24 * 365) def delete_collection(self, collection_name): existing_collections = self.get_collections() @@ -99,6 +100,8 @@ class AnonUser(object): for collection in collections: collection['created_timestamp'] = datetime.datetime.strptime(collection['created_timestamp'], '%b %d %Y %I:%M%p') collection['changed_timestamp'] = datetime.datetime.strptime(collection['changed_timestamp'], '%b %d %Y %I:%M%p') + + collections = sorted(collections, key = lambda i: i['changed_timestamp'], reverse = True) return collections def import_traits_to_user(self): @@ -195,19 +198,14 @@ class UserSession(object): return '' @property - def es_user_id(self): + def redis_user_id(self): """User id from ElasticSearch (need to check if this is the same as the id stored in self.records)""" - es = get_elasticsearch_connection() user_email = self.record['user_email_address'] #ZS: Get user's collections if they exist - response = es.search( - index = "users", doc_type = "local", body = { - "query": { "match": { "email_address": user_email } } - }) - - user_id = response['hits']['hits'][0]['_id'] + user_id = None + user_id = get_user_id("email_address", user_email) return user_id @property @@ -222,48 +220,15 @@ class UserSession(object): def user_collections(self): """List of user's collections""" - es = get_elasticsearch_connection() - - user_email = self.record['user_email_address'] - #ZS: Get user's collections if they exist - response = es.search( - index = "users", doc_type = "local", body = { - "query": { "match": { "email_address": user_email } } - }) - user_info = response['hits']['hits'][0]['_source'] - if 'collections' in user_info.keys(): - if len(user_info['collections']) > 0: - return json.loads(user_info['collections']) - else: - return [] - else: - return [] + collections = get_user_collections(self.redis_user_id) + return collections @property def num_collections(self): """Number of user's collections""" - es = get_elasticsearch_connection() - - user_email = self.record['user_email_address'] - - #ZS: Get user's collections if they exist - response = es.search( - index = "users", doc_type = "local", body = { - "query": { "match": { "email_address": user_email } } - }) - - user_info = response['hits']['hits'][0]['_source'] - logger.debug("USER NUM COLL:", user_info) - if 'collections' in user_info.keys(): - if user_info['collections'] != "[]" and len(user_info['collections']) > 0: - collections_json = json.loads(user_info['collections']) - return len(collections_json) - else: - return 0 - else: - return 0 + return len(self.user_collections) ### # ZS: This is currently not used, but I'm leaving it here commented out because the old "set superuser" code (at the bottom of this file) used it @@ -294,29 +259,9 @@ class UserSession(object): 'num_members': len(traits), 'members': list(traits) } - es = get_elasticsearch_connection() - - user_email = self.record['user_email_address'] - response = es.search( - index = "users", doc_type = "local", body = { - "query": { "match": { "email_address": user_email } } - }) - - user_id = response['hits']['hits'][0]['_id'] - user_info = response['hits']['hits'][0]['_source'] - - if 'collections' in user_info.keys(): - if user_info['collections'] != [] and user_info['collections'] != "[]": - current_collections = json.loads(user_info['collections']) - current_collections.append(collection_dict) - self.update_collections(current_collections) - #collections_json = json.dumps(current_collections) - else: - self.update_collections([collection_dict]) - #collections_json = json.dumps([collection_dict]) - else: - self.update_collections([collection_dict]) - #collections_json = json.dumps([collection_dict]) + current_collections = self.user_collections + current_collections.append(collection_dict) + self.update_collections(current_collections) return collection_dict['id'] @@ -396,10 +341,9 @@ class UserSession(object): return None def update_collections(self, updated_collections): - es = get_elasticsearch_connection() + collection_body = json.dumps(updated_collections) - collection_body = {'doc': {'collections': json.dumps(updated_collections)}} - es.update(index='users', doc_type='local', id=self.es_user_id, refresh='wait_for', body=collection_body) + save_collections(self.redis_user_id, collection_body) def delete_session(self): # And more importantly delete the redis record @@ -446,16 +390,13 @@ class RegisterUser(object): self.thank_you_mode = False self.errors = [] self.user = Bunch() - es = kw.get('es_connection', None) - - if not es: - self.errors.append("Missing connection object") self.user.email_address = kw.get('email_address', '').encode("utf-8").strip() if not (5 <= len(self.user.email_address) <= 50): self.errors.append('Email Address needs to be between 5 and 50 characters.') else: - email_exists = get_user_by_unique_column(es, "email_address", self.user.email_address) + email_exists = get_user_by_unique_column("email_address", self.user.email_address) + #email_exists = get_user_by_unique_column(es, "email_address", self.user.email_address) if email_exists: self.errors.append('User already exists with that email') @@ -484,7 +425,7 @@ class RegisterUser(object): self.user.confirmed = 1 self.user.registration_info = json.dumps(basic_info(), sort_keys=True) - save_user(es, self.user.__dict__, self.user.user_id) + save_user(self.user.__dict__, self.user.user_id) def set_password(password, user): pwfields = Bunch() @@ -560,8 +501,9 @@ class ForgotPasswordEmail(VerificationEmail): "email_address": toaddr, "timestamp": timestamp() } - es = get_elasticsearch_connection() - es_save_data(es, self.key_prefix, "local", data, verification_code) + + save_verification_code(toaddr, verification_code) + subject = self.subject body = render_template( @@ -618,19 +560,11 @@ def password_reset(): # user_encode = DecodeUser(ForgotPasswordEmail.key_prefix).reencode_standalone() verification_code = request.args.get('code') hmac = request.args.get('hm') - es = get_elasticsearch_connection() + if verification_code: - code_details = get_item_by_unique_column( - es - , "verification_code" - , verification_code - , ForgotPasswordEmail.key_prefix - , "local") - if code_details: - user_details = get_user_by_unique_column( - es - , "email_address" - , code_details["email_address"]) + user_email = check_verification_code(verification_code) + if user_email: + user_details = get_user_by_unique_column('email_address', user_email) if user_details: return render_template( "new_security/password_reset.html", user_encode=user_details["user_id"]) @@ -638,7 +572,8 @@ def password_reset(): flash("Invalid code: User no longer exists!", "error") else: flash("Invalid code: Password reset code does not exist or might have expired!", "error") - return redirect(url_for("login"))#render_template("new_security/login_user.html", error=error) + else: + return redirect(url_for("login")) @app.route("/n/password_reset_step2", methods=('POST',)) def password_reset_step2(): @@ -655,16 +590,7 @@ def password_reset_step2(): password = request.form['password'] set_password(password, user) - es = get_elasticsearch_connection() - es.update( - index = "users" - , doc_type = "local" - , id = user_id - , body = { - "doc": { - "password": user.__dict__.get("password") - } - }) + set_user_attribute(user_id, "password", user.__dict__.get("password")) flash("Password changed successfully. You can now sign in.", "alert-info") response = make_response(redirect(url_for('login'))) @@ -716,8 +642,8 @@ def github_oauth2(): result_dict = {arr[0]:arr[1] for arr in [tok.split("=") for tok in [token.encode("utf-8") for token in result.text.split("&")]]} github_user = get_github_user_details(result_dict["access_token"]) - es = get_elasticsearch_connection() - user_details = get_user_by_unique_column(es, "github_id", github_user["id"]) + + user_details = get_user_by_unique_column("github_id", github_user["id"]) if user_details == None: user_details = { "user_id": str(uuid.uuid4()) @@ -729,7 +655,8 @@ def github_oauth2(): , "active": 1 , "confirmed": 1 } - save_user(es, user_details, user_details["user_id"]) + save_user(user_details, user_details["user_id"]) + url = "/n/login?type=github&uid="+user_details["user_id"] return redirect(url) @@ -750,8 +677,7 @@ def orcid_oauth2(): result = requests.post(ORCID_TOKEN_URL, data=data) result_dict = json.loads(result.text.encode("utf-8")) - es = get_elasticsearch_connection() - user_details = get_user_by_unique_column(es, "orcid", result_dict["orcid"]) + user_details = get_user_by_unique_column("orcid", result_dict["orcid"]) if user_details == None: user_details = { "user_id": str(uuid4()) @@ -765,7 +691,8 @@ def orcid_oauth2(): , "active": 1 , "confirmed": 1 } - save_user(es, user_details, user_details["user_id"]) + save_user(user_details, user_details["user_id"]) + url = "/n/login?type=orcid&uid="+user_details["user_id"] else: flash("There was an error getting code from ORCID") @@ -785,11 +712,11 @@ class LoginUser(object): def oauth2_login(self, login_type, user_id): """Login via an OAuth2 provider""" - es = get_elasticsearch_connection() - user_details = get_user_by_unique_column(es, "user_id", user_id) + + user_details = get_user_by_unique_column("user_id", user_id) if user_details: user = model.User() - user.id = user_details["user_id"] + user.id = user_details["user_id"] if user_details["user_id"] == None else "N/A" user.full_name = user_details["name"] user.login_type = user_details["login_type"] return self.actual_login(user) @@ -801,7 +728,7 @@ class LoginUser(object): """Login through the normal form""" params = request.form if request.form else request.args logger.debug("in login params are:", params) - es = get_elasticsearch_connection() + if not params: from utility.tools import GITHUB_AUTH_URL, GITHUB_CLIENT_ID, ORCID_AUTH_URL, ORCID_CLIENT_ID external_login = {} @@ -809,13 +736,14 @@ class LoginUser(object): external_login["github"] = GITHUB_AUTH_URL if ORCID_AUTH_URL and ORCID_CLIENT_ID != 'UNKNOWN': external_login["orcid"] = ORCID_AUTH_URL - assert(es is not None) + return render_template( "new_security/login_user.html" , external_login=external_login - , es_server=es.ping()) + , redis_is_available = is_redis_available()) else: - user_details = get_user_by_unique_column(es, "email_address", params["email_address"]) + user_details = get_user_by_unique_column("email_address", params["email_address"]) + #user_details = get_user_by_unique_column(es, "email_address", params["email_address"]) user = None valid = None if user_details: @@ -887,6 +815,9 @@ class LoginUser(object): session_id_signed = login_rec.session_id + ":" + session_id_signature logger.debug("session_id_signed:", session_id_signed) + if not user.id: + user.id = '' + session = dict(login_time = time.time(), user_id = user.id, user_name = user.full_name, @@ -936,13 +867,14 @@ def forgot_password_submit(): next_page = None if email_address != "": logger.debug("Wants to send password E-mail to ",email_address) - es = get_elasticsearch_connection() - user_details = get_user_by_unique_column(es, "email_address", email_address) + user_details = get_user_by_unique_column("email_address", email_address) if user_details: ForgotPasswordEmail(user_details["email_address"]) - - return render_template("new_security/forgot_password_step2.html", - subject=ForgotPasswordEmail.subject) + return render_template("new_security/forgot_password_step2.html", + subject=ForgotPasswordEmail.subject) + else: + flash("The e-mail entered is not associated with an account.", "alert-danger") + return redirect(url_for("forgot_password")) else: flash("You MUST provide an email", "alert-danger") @@ -952,6 +884,13 @@ def forgot_password_submit(): def unauthorized(error): return redirect(url_for('login')) +def is_redis_available(): + try: + Redis.ping() + except: + return False + return True + ### # ZS: The following 6 functions require the old MySQL User accounts; I'm leaving them commented out just in case we decide to reimplement them using ElasticSearch ### @@ -1013,8 +952,6 @@ def register(): params = request.form if request.form else request.args params = params.to_dict(flat=True) - es = get_elasticsearch_connection() - params["es_connection"] = es if params: logger.debug("Attempting to register the user...") diff --git a/wqflask/wqflask/user_session.py b/wqflask/wqflask/user_session.py new file mode 100644 index 00000000..fd1779fb --- /dev/null +++ b/wqflask/wqflask/user_session.py @@ -0,0 +1,291 @@ +from __future__ import print_function, division, absolute_import + +import datetime +import time +import uuid + +import simplejson as json + +import redis # used for collections +Redis = redis.StrictRedis() + + +from flask import (Flask, g, render_template, url_for, request, make_response, + redirect, flash, abort) + +from wqflask import app +from utility import hmac + +#from utility.elasticsearch_tools import get_elasticsearch_connection +from utility.redis_tools import get_user_id, get_user_by_unique_column, get_user_collections, save_collections + +from utility.logger import getLogger +logger = getLogger(__name__) + +THREE_DAYS = 60 * 60 * 24 * 3 +THIRTY_DAYS = 60 * 60 * 24 * 30 + +def verify_cookie(cookie): + the_uuid, separator, the_signature = cookie.partition(':') + assert len(the_uuid) == 36, "Is session_id a uuid?" + assert separator == ":", "Expected a : here" + assert the_signature == hmac.hmac_creation(the_uuid), "Uh-oh, someone tampering with the cookie?" + return the_uuid + +def create_signed_cookie(): + the_uuid = str(uuid.uuid4()) + signature = hmac.hmac_creation(the_uuid) + uuid_signed = the_uuid + ":" + signature + logger.debug("uuid_signed:", uuid_signed) + return the_uuid, uuid_signed + +class UserSession(object): + """Logged in user handling""" + + user_cookie_name = 'session_id_v2' + anon_cookie_name = 'anon_user_v1' + + def __init__(self): + user_cookie = request.cookies.get(self.user_cookie_name) + if not user_cookie: + self.logged_in = False + anon_cookie = request.cookies.get(self.anon_cookie_name) + self.cookie_name = self.anon_cookie_name + if anon_cookie: + self.cookie = anon_cookie + session_id = verify_cookie(self.cookie) + else: + session_id, self.cookie = create_signed_cookie() + else: + self.cookie_name = self.user_cookie_name + self.cookie = user_cookie + session_id = verify_cookie(self.cookie) + + self.redis_key = self.cookie_name + ":" + session_id + self.session_id = session_id + self.record = Redis.hgetall(self.redis_key) + + #ZS: If user correctled logged in but their session expired + #ZS: Need to test this by setting the time-out to be really short or something + if not self.record or self.record == []: + if user_cookie: + self.logged_in = False + self.record = dict(login_time = time.time(), + user_type = "anon", + user_id = str(uuid.uuid4())) + Redis.hmset(self.redis_key, self.record) + Redis.expire(self.redis_key, THIRTY_DAYS) + response = make_response(redirect(url_for('login'))) + response.set_cookie(self.user_cookie_name, '', expires=0) + + ########### Grrr...this won't work because of the way flask handles cookies + # Delete the cookie + flash("Due to inactivity your session has expired. If you'd like please login again.") + return response + #return + else: + self.record = dict(login_time = time.time(), + user_type = "anon", + user_id = str(uuid.uuid4())) + Redis.hmset(self.redis_key, self.record) + Redis.expire(self.redis_key, THIRTY_DAYS) + else: + if user_cookie: + self.logged_in = True + + if user_cookie: + session_time = THREE_DAYS + else: + session_time = THIRTY_DAYS + + if Redis.ttl(self.redis_key) < session_time: + # (Almost) everytime the user does something we extend the session_id in Redis... + logger.debug("Extending ttl...") + Redis.expire(self.redis_key, session_time) + + @property + def user_id(self): + """Shortcut to the user_id""" + if 'user_id' in self.record: + return self.record['user_id'] + else: + return '' + + @property + def redis_user_id(self): + """User id from Redis (need to check if this is the same as the id stored in self.records)""" + + #ZS: This part is a bit weird. Some accounts used to not have saved user ids, and in the process of testing I think I created some duplicate accounts for myself. + #ZS: Accounts should automatically generate user_ids if they don't already have one now, so this might not be necessary for anything other than my account's collections + + if 'user_email_address' in self.record: + user_email = self.record['user_email_address'] + + #ZS: Get user's collections if they exist + user_id = None + user_id = get_user_id("email_address", user_email) + elif 'user_id' in self.record: + user_id = self.record['user_id'] + elif 'github_id' in self.record: + user_github_id = self.record['github_id'] + user_id = None + user_id = get_user_id("github_id", user_github_id) + else: #ZS: Anonymous user + return None + + return user_id + + @property + def user_name(self): + """Shortcut to the user_name""" + if 'user_name' in self.record: + return self.record['user_name'] + else: + return '' + + @property + def user_collections(self): + """List of user's collections""" + + #ZS: Get user's collections if they exist + collections = get_user_collections(self.redis_user_id) + collections = [item for item in collections if item['name'] != "Your Default Collection"] + [item for item in collections if item['name'] == "Your Default Collection"] #ZS: Ensure Default Collection is last in list + return collections + + @property + def num_collections(self): + """Number of user's collections""" + + return len(self.user_collections) + + def add_collection(self, collection_name, traits): + """Add collection into Redis""" + + collection_dict = {'id': unicode(uuid.uuid4()), + 'name': collection_name, + 'created_timestamp': datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p'), + 'changed_timestamp': datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p'), + 'num_members': len(traits), + 'members': list(traits) } + + current_collections = self.user_collections + current_collections.append(collection_dict) + self.update_collections(current_collections) + + return collection_dict['id'] + + def change_collection_name(self, collection_id, new_name): + updated_collections = [] + for collection in self.user_collections: + updated_collection = collection + if collection['id'] == collection_id: + updated_collection['name'] = new_name + updated_collections.append(collection) + + self.update_collections(updated_collections) + return new_name + + def delete_collection(self, collection_id): + """Remove collection with given ID""" + + updated_collections = [] + for collection in self.user_collections: + if collection['id'] == collection_id: + continue + else: + updated_collections.append(collection) + + self.update_collections(updated_collections) + + return collection['name'] + + def add_traits_to_collection(self, collection_id, traits_to_add): + """Add specified traits to a collection""" + + this_collection = self.get_collection_by_id(collection_id) + + updated_collection = this_collection + current_members_minus_new = [member for member in this_collection['members'] if member not in traits_to_add] + updated_traits = traits_to_add + current_members_minus_new + + updated_collection['members'] = updated_traits + updated_collection['num_members'] = len(updated_traits) + updated_collection['changed_timestamp'] = datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p') + + updated_collections = [] + for collection in self.user_collections: + if collection['id'] == collection_id: + updated_collections.append(updated_collection) + else: + updated_collections.append(collection) + + self.update_collections(updated_collections) + + def remove_traits_from_collection(self, collection_id, traits_to_remove): + """Remove specified traits from a collection""" + + this_collection = self.get_collection_by_id(collection_id) + + updated_collection = this_collection + updated_traits = [] + for trait in this_collection['members']: + if trait in traits_to_remove: + continue + else: + updated_traits.append(trait) + + updated_collection['members'] = updated_traits + updated_collection['num_members'] = len(updated_traits) + updated_collection['changed_timestamp'] = datetime.datetime.utcnow().strftime('%b %d %Y %I:%M%p') + + updated_collections = [] + for collection in self.user_collections: + if collection['id'] == collection_id: + updated_collections.append(updated_collection) + else: + updated_collections.append(collection) + + self.update_collections(updated_collections) + + return updated_traits + + def get_collection_by_id(self, collection_id): + for collection in self.user_collections: + if collection['id'] == collection_id: + return collection + + def get_collection_by_name(self, collection_name): + for collection in self.user_collections: + if collection['name'] == collection_name: + return collection + + return None + + def update_collections(self, updated_collections): + collection_body = json.dumps(updated_collections) + + save_collections(self.redis_user_id, collection_body) + + def import_traits_to_user(self, anon_id): + collections = get_user_collections(anon_id) + for collection in collections: + collection_exists = self.get_collection_by_name(collection['name']) + if collection_exists: + continue + else: + self.add_collection(collection['name'], collection['members']) + + def delete_session(self): + # And more importantly delete the redis record + Redis.delete(self.redis_key) + self.logged_in = False + +@app.before_request +def before_request(): + g.user_session = UserSession() + +@app.after_request +def set_cookie(response): + if not request.cookies.get(g.user_session.cookie_name): + response.set_cookie(g.user_session.cookie_name, g.user_session.cookie) + return response
\ No newline at end of file diff --git a/wqflask/wqflask/views.py b/wqflask/wqflask/views.py index ae333e73..7d3dfa48 100644 --- a/wqflask/wqflask/views.py +++ b/wqflask/wqflask/views.py @@ -15,6 +15,7 @@ import xlsxwriter import StringIO # Todo: Use cStringIO? import gc +import numpy as np import cPickle as pickle import uuid @@ -43,15 +44,17 @@ from base.data_set import DataSet # Used by YAML in marker_regression from wqflask.show_trait import show_trait from wqflask.show_trait import export_trait_data from wqflask.heatmap import heatmap +from wqflask.external_tools import send_to_bnw, send_to_webgestalt, send_to_geneweaver from wqflask.comparison_bar_chart import comparison_bar_chart -from wqflask.marker_regression import marker_regression -from wqflask.marker_regression import marker_regression_gn1 +from wqflask.marker_regression import run_mapping +from wqflask.marker_regression import display_mapping_results from wqflask.network_graph import network_graph from wqflask.correlation import show_corr_results from wqflask.correlation_matrix import show_corr_matrix from wqflask.correlation import corr_scatter_plot from wqflask.wgcna import wgcna_analysis from wqflask.ctl import ctl_analysis +from wqflask.snp_browser import snp_browser #from wqflask.trait_submission import submit_trait from utility import temp_data @@ -63,7 +66,9 @@ from utility.benchmark import Bench from pprint import pformat as pf -from wqflask import user_manager +from wqflask import user_login +from wqflask import user_session + from wqflask import collect from wqflask.database import db_session @@ -78,7 +83,7 @@ def connect_db(): db = getattr(g, '_database', None) if db is None: logger.debug("Get new database connector") - g.db = g._database = sqlalchemy.create_engine(SQL_URI) + g.db = g._database = sqlalchemy.create_engine(SQL_URI, encoding="latin1") logger.debug(g.db) @app.teardown_appcontext @@ -122,13 +127,14 @@ def index_page(): if 'import_collections' in params: import_collections = params['import_collections'] if import_collections == "true": - g.cookie_session.import_traits_to_user() - if USE_GN_SERVER: - # The menu is generated using GN_SERVER - return render_template("index_page.html", gn_server_url = GN_SERVER_URL, version=GN_VERSION) - else: - # Old style static menu (OBSOLETE) - return render_template("index_page_orig.html", version=GN_VERSION) + g.user_session.import_traits_to_user(params['anon_id']) + #if USE_GN_SERVER: + # # The menu is generated using GN_SERVER + # return render_template("index_page.html", gn_server_url = GN_SERVER_URL, version=GN_VERSION) + #else: + + # Old style static menu (OBSOLETE) + return render_template("index_page_orig.html", version=GN_VERSION) @app.route("/tmp/<img_path>") @@ -214,8 +220,15 @@ def gsearch_updating(): @app.route("/docedit") def docedit(): logger.info(request.url) - doc = docs.Docs(request.args['entry']) - return render_template("docedit.html", **doc.__dict__) + try: + if g.user_session.record['user_email_address'] == "zachary.a.sloan@gmail.com" or g.user_session.record['user_email_address'] == "labwilliams@gmail.com": + doc = docs.Docs(request.args['entry'], request.args) + return render_template("docedit.html", **doc.__dict__) + else: + return "You shouldn't be here!" + except: + return "You shouldn't be here!" + @app.route('/generated/<filename>') def generated_file(filename): @@ -225,7 +238,7 @@ def generated_file(filename): @app.route("/help") def help(): logger.info(request.url) - doc = docs.Docs("help") + doc = docs.Docs("help", request.args) return render_template("docs.html", **doc.__dict__) @app.route("/wgcna_setup", methods=('POST',)) @@ -259,34 +272,55 @@ def ctl_results(): return render_template("ctl_results.html", **result) # Display them using the template @app.route("/news") -def news_route(): - newsobject = news.News() - return render_template("news.html", **newsobject.__dict__) +def news(): + doc = docs.Docs("news", request.args) + return render_template("docs.html", **doc.__dict__) @app.route("/references") def references(): - # doc = docs.Docs("references") - # return render_template("docs.html", **doc.__dict__) - return render_template("reference.html") + doc = docs.Docs("references", request.args) + return render_template("docs.html", **doc.__dict__) + #return render_template("reference.html") @app.route("/intro") def intro(): - doc = docs.Docs("intro") + doc = docs.Docs("intro", request.args) return render_template("docs.html", **doc.__dict__) @app.route("/policies") def policies(): - doc = docs.Docs("policies") + doc = docs.Docs("policies", request.args) + #return render_template("policies.html") return render_template("docs.html", **doc.__dict__) @app.route("/links") def links(): - doc = docs.Docs("links") - return render_template("docs.html", **doc.__dict__) + #doc = docs.Docs("links", request.args) + #return render_template("docs.html", **doc.__dict__) + return render_template("links.html") + +@app.route("/tutorials") +def tutorials(): + #doc = docs.Docs("links", request.args) + #return render_template("docs.html", **doc.__dict__) + return render_template("tutorials.html") + +@app.route("/credits") +def credits(): + #doc = docs.Docs("links", request.args) + #return render_template("docs.html", **doc.__dict__) + return render_template("credits.html") @app.route("/environments") def environments(): - doc = docs.Docs("environments") + doc = docs.Docs("environments", request.args) + return render_template("docs.html", **doc.__dict__) + #return render_template("environments.html", **doc.__dict__) + +@app.route("/update_text", methods=('POST',)) +def update_page(): + docs.update_text(request.form) + doc = docs.Docs(request.form['entry_type'], request.form) return render_template("docs.html", **doc.__dict__) @app.route("/submit_trait") @@ -298,7 +332,7 @@ def submit_trait_form(): @app.route("/create_temp_trait", methods=('POST',)) def create_temp_trait(): logger.info(request.url) - print("REQUEST.FORM:", request.form) + #template_vars = submit_trait.SubmitTrait(request.form) doc = docs.Docs("links") @@ -311,7 +345,7 @@ def export_trait_excel(): logger.info("In export_trait_excel") logger.info("request.form:", request.form) logger.info(request.url) - sample_data = export_trait_data.export_sample_table(request.form) + trait_name, sample_data = export_trait_data.export_sample_table(request.form) logger.info("sample_data - type: %s -- size: %s" % (type(sample_data), len(sample_data))) @@ -319,17 +353,15 @@ def export_trait_excel(): workbook = xlsxwriter.Workbook(buff, {'in_memory': True}) worksheet = workbook.add_worksheet() for i, row in enumerate(sample_data): - worksheet.write(i, 0, row[0]) - worksheet.write(i, 1, row[1]) - if len(row) > 2: - worksheet.write(i, 2, row[2]) + for j, column in enumerate(row): + worksheet.write(i, j, row[j]) workbook.close() excel_data = buff.getvalue() buff.close() return Response(excel_data, mimetype='application/vnd.ms-excel', - headers={"Content-Disposition":"attachment;filename=sample_data.xlsx"}) + headers={"Content-Disposition":"attachment;filename="+ trait_name + ".xlsx"}) @app.route('/export_trait_csv', methods=('POST',)) def export_trait_csv(): @@ -337,7 +369,7 @@ def export_trait_csv(): logger.info("In export_trait_csv") logger.info("request.form:", request.form) logger.info(request.url) - sample_data = export_trait_data.export_sample_table(request.form) + trait_name, sample_data = export_trait_data.export_sample_table(request.form) logger.info("sample_data - type: %s -- size: %s" % (type(sample_data), len(sample_data))) @@ -350,7 +382,7 @@ def export_trait_csv(): return Response(csv_data, mimetype='text/csv', - headers={"Content-Disposition":"attachment;filename=sample_data.csv"}) + headers={"Content-Disposition":"attachment;filename="+ trait_name + ".csv"}) @app.route('/export_traits_csv', methods=('POST',)) def export_traits_csv(): @@ -358,11 +390,11 @@ def export_traits_csv(): logger.info("In export_traits_csv") logger.info("request.form:", request.form) logger.info(request.url) - csv_data = export_traits.export_search_results_csv(request.form) + csv_data, file_name = export_traits.export_search_results_csv(request.form) return Response(csv_data, mimetype='text/csv', - headers={"Content-Disposition":"attachment;filename=trait_list.csv"}) + headers={"Content-Disposition":"attachment;filename=" + file_name + ".csv"}) @app.route('/export_perm_data', methods=('POST',)) def export_perm_data(): @@ -373,9 +405,9 @@ def export_perm_data(): buff = StringIO.StringIO() writer = csv.writer(buff) - writer.writerow(["Suggestive LRS (p=0.63) = " + str(perm_data[int(num_perm*0.37-1)])]) - writer.writerow(["Significant LRS (p=0.05) = " + str(perm_data[int(num_perm*0.95-1)])]) - writer.writerow(["Highly Significant LRS (p=0.01) = " + str(perm_data[int(num_perm*0.99-1)])]) + writer.writerow(["Suggestive LRS (p=0.63) = " + str(np.percentile(np.array(perm_data), 67))]) + writer.writerow(["Significant LRS (p=0.05) = " + str(np.percentile(np.array(perm_data), 95))]) + writer.writerow(["Highly Significant LRS (p=0.01) = " + str(np.percentile(np.array(perm_data), 99))]) writer.writerow("") writer.writerow([str(num_perm) + " Permutations"]) writer.writerow("") @@ -465,6 +497,60 @@ def heatmap_page(): return rendered_template +@app.route("/bnw_page", methods=('POST',)) +def bnw_page(): + logger.info("In run BNW, request.form is:", pf(request.form)) + logger.info(request.url) + + start_vars = request.form + + traits = [trait.strip() for trait in start_vars['trait_list'].split(',')] + if traits[0] != "": + template_vars = send_to_bnw.SendToBNW(request.form) + + result = template_vars.__dict__ + rendered_template = render_template("bnw_page.html", **result) + else: + rendered_template = render_template("empty_collection.html", **{'tool':'BNW'}) + + return rendered_template + +@app.route("/webgestalt_page", methods=('POST',)) +def webgestalt_page(): + logger.info("In run WebGestalt, request.form is:", pf(request.form)) + logger.info(request.url) + + start_vars = request.form + + traits = [trait.strip() for trait in start_vars['trait_list'].split(',')] + if traits[0] != "": + template_vars = send_to_webgestalt.SendToWebGestalt(request.form) + + result = template_vars.__dict__ + rendered_template = render_template("webgestalt_page.html", **result) + else: + rendered_template = render_template("empty_collection.html", **{'tool':'WebGestalt'}) + + return rendered_template + +@app.route("/geneweaver_page", methods=('POST',)) +def geneweaver_page(): + logger.info("In run WebGestalt, request.form is:", pf(request.form)) + logger.info(request.url) + + start_vars = request.form + + traits = [trait.strip() for trait in start_vars['trait_list'].split(',')] + if traits[0] != "": + template_vars = send_to_geneweaver.SendToGeneWeaver(request.form) + + result = template_vars.__dict__ + rendered_template = render_template("geneweaver_page.html", **result) + else: + rendered_template = render_template("empty_collection.html", **{'tool':'GeneWeaver'}) + + return rendered_template + @app.route("/comparison_bar_chart", methods=('POST',)) def comp_bar_chart_page(): logger.info("In comp bar chart, request.form is:", pf(request.form)) @@ -494,68 +580,51 @@ def mapping_results_container_page(): def loading_page(): logger.info(request.url) initial_start_vars = request.form - logger.debug("Marker regression called with initial_start_vars:", initial_start_vars.items()) - #temp_uuid = initial_start_vars['temp_uuid'] - wanted = ( - 'temp_uuid', - 'trait_id', - 'dataset', - 'method', - 'trimmed_markers', - 'selected_chr', - 'chromosomes', - 'mapping_scale', - 'score_type', - 'suggestive', - 'significant', - 'num_perm', - 'permCheck', - 'perm_output', - 'num_bootstrap', - 'bootCheck', - 'bootstrap_results', - 'LRSCheck', - 'covariates', - 'maf', - 'use_loco', - 'manhattan_plot', - 'control_marker', - 'control_marker_db', - 'do_control', - 'genofile', - 'pair_scan', - 'startMb', - 'endMb', - 'graphWidth', - 'lrsMax', - 'additiveCheck', - 'showSNP', - 'showGenes', - 'viewLegend', - 'haplotypeAnalystCheck', - 'mapmethod_rqtl_geno', - 'mapmodel_rqtl_geno' - ) start_vars_container = {} - start_vars = {} - for key, value in initial_start_vars.iteritems(): - if key in wanted or key.startswith(('value:')): - start_vars[key] = value + num_vals = 0 #ZS: So it can be displayed on loading page + if 'wanted_inputs' in initial_start_vars: + wanted = initial_start_vars['wanted_inputs'].split(",") + start_vars = {} + for key, value in initial_start_vars.iteritems(): + if key in wanted or key.startswith(('value:')): + start_vars[key] = value + + if 'num_vals' in start_vars: + num_vals = int(start_vars['num_vals']) + else: + if 'primary_samples' in start_vars: + samples = start_vars['primary_samples'].split(",") + for sample in samples: + value = start_vars.get('value:' + sample) + if value != "x": + num_vals += 1 + + start_vars['num_vals'] = num_vals + start_vars['wanted_inputs'] = initial_start_vars['wanted_inputs'] + + start_vars_container['start_vars'] = start_vars + else: + start_vars_container['start_vars'] = initial_start_vars - start_vars_container['start_vars'] = start_vars rendered_template = render_template("loading.html", **start_vars_container) return rendered_template -@app.route("/marker_regression", methods=('POST',)) -def marker_regression_page(): +@app.route("/run_mapping", methods=('POST',)) +def mapping_results_page(): initial_start_vars = request.form - logger.debug("Marker regression called with initial_start_vars:", initial_start_vars.items()) + #logger.debug("Mapping called with initial_start_vars:", initial_start_vars.items()) logger.info(request.url) temp_uuid = initial_start_vars['temp_uuid'] wanted = ( 'trait_id', 'dataset', + 'group', + 'species', + 'samples', + 'vals', + 'first_run', + 'output_files', 'geno_db_exists', 'method', 'mapping_results_path', @@ -569,6 +638,9 @@ def marker_regression_page(): 'significant', 'num_perm', 'permCheck', + 'perm_strata', + 'strat_var', + 'categorical_vars', 'perm_output', 'num_bootstrap', 'bootCheck', @@ -581,6 +653,7 @@ def marker_regression_page(): 'control_marker', 'control_marker_db', 'do_control', + 'genofile', 'genofile_string', 'pair_scan', 'startMb', @@ -593,17 +666,21 @@ def marker_regression_page(): 'viewLegend', 'haplotypeAnalystCheck', 'mapmethod_rqtl_geno', - 'mapmodel_rqtl_geno' + 'mapmodel_rqtl_geno', + 'temp_trait', + 'reaper_version', + 'num_vals', + 'transform' ) start_vars = {} for key, value in initial_start_vars.iteritems(): if key in wanted or key.startswith(('value:')): start_vars[key] = value - logger.debug("Marker regression called with start_vars:", start_vars) + #logger.debug("Mapping called with start_vars:", start_vars) version = "v3" - key = "marker_regression:{}:".format(version) + json.dumps(start_vars, sort_keys=True) - logger.info("key is:", pf(key)) + key = "mapping_results:{}:".format(version) + json.dumps(start_vars, sort_keys=True) + #logger.info("key is:", pf(key)) with Bench("Loading cache"): result = None # Just for testing #result = Redis.get(key) @@ -618,59 +695,46 @@ def marker_regression_page(): result = pickle.loads(result) else: logger.info("Cache miss!!!") - with Bench("Total time in MarkerRegression"): - template_vars = marker_regression.MarkerRegression(start_vars, temp_uuid) - - if template_vars.mapping_method != "gemma" and template_vars.mapping_method != "plink": + with Bench("Total time in RunMapping"): + try: + template_vars = run_mapping.RunMapping(start_vars, temp_uuid) + if template_vars.no_results: + rendered_template = render_template("mapping_error.html") + return rendered_template + except: + rendered_template = render_template("mapping_error.html") + return rendered_template + + #if template_vars.mapping_method != "gemma" and template_vars.mapping_method != "plink": template_vars.js_data = json.dumps(template_vars.js_data, - default=json_default_handler, - indent=" ") + default=json_default_handler, + indent=" ") - result = template_vars.__dict__ + result = template_vars.__dict__ - if result['pair_scan']: - with Bench("Rendering template"): - img_path = result['pair_scan_filename'] - logger.info("img_path:", img_path) - initial_start_vars = request.form - logger.info("initial_start_vars:", initial_start_vars) - imgfile = open(TEMPDIR + img_path, 'rb') - imgdata = imgfile.read() - imgB64 = imgdata.encode("base64") - bytesarray = array.array('B', imgB64) - result['pair_scan_array'] = bytesarray - rendered_template = render_template("pair_scan_results.html", **result) - else: - #for item in template_vars.__dict__.keys(): - # logger.info(" ---**--- {}: {}".format(type(template_vars.__dict__[item]), item)) - - gn1_template_vars = marker_regression_gn1.MarkerRegression(result).__dict__ - #pickled_result = pickle.dumps(result, pickle.HIGHEST_PROTOCOL) - #logger.info("pickled result length:", len(pickled_result)) - #Redis.set(key, pickled_result) - #Redis.expire(key, 1*60) - - with Bench("Rendering template"): - if (gn1_template_vars['mapping_method'] == "gemma") or (gn1_template_vars['mapping_method'] == "plink"): - gn1_template_vars.pop('qtlresults', None) - print("TEMPLATE KEYS:", list(gn1_template_vars.keys())) - rendered_template = render_template("marker_regression_gn1.html", **gn1_template_vars) - - # with Bench("Rendering template"): - # if result['pair_scan'] == True: - # img_path = result['pair_scan_filename'] - # logger.info("img_path:", img_path) - # initial_start_vars = request.form - # logger.info("initial_start_vars:", initial_start_vars) - # imgfile = open(TEMPDIR + '/' + img_path, 'rb') - # imgdata = imgfile.read() - # imgB64 = imgdata.encode("base64") - # bytesarray = array.array('B', imgB64) - # result['pair_scan_array'] = bytesarray - # rendered_template = render_template("pair_scan_results.html", **result) - # else: - # rendered_template = render_template("marker_regression.html", **result) - # rendered_template = render_template("marker_regression_gn1.html", **gn1_template_vars) + if result['pair_scan']: + with Bench("Rendering template"): + img_path = result['pair_scan_filename'] + logger.info("img_path:", img_path) + initial_start_vars = request.form + logger.info("initial_start_vars:", initial_start_vars) + imgfile = open(TEMPDIR + img_path, 'rb') + imgdata = imgfile.read() + imgB64 = imgdata.encode("base64") + bytesarray = array.array('B', imgB64) + result['pair_scan_array'] = bytesarray + rendered_template = render_template("pair_scan_results.html", **result) + else: + gn1_template_vars = display_mapping_results.DisplayMappingResults(result).__dict__ + #pickled_result = pickle.dumps(result, pickle.HIGHEST_PROTOCOL) + #logger.info("pickled result length:", len(pickled_result)) + #Redis.set(key, pickled_result) + #Redis.expire(key, 1*60) + + with Bench("Rendering template"): + #if (gn1_template_vars['mapping_method'] == "gemma") or (gn1_template_vars['mapping_method'] == "plink"): + #gn1_template_vars.pop('qtlresults', None) + rendered_template = render_template("mapping_results.html", **gn1_template_vars) return rendered_template @@ -686,7 +750,6 @@ def export_mapping_results(): return response - @app.route("/export", methods = ('POST',)) def export(): logger.info("request.form:", request.form) @@ -760,6 +823,19 @@ def corr_scatter_plot_page(): indent=" ") return render_template("corr_scatterplot.html", **template_vars.__dict__) +@app.route("/snp_browser", methods=('GET',)) +def snp_browser_page(): + logger.info(request.url) + template_vars = snp_browser.SnpBrowser(request.args) + + return render_template("snp_browser.html", **template_vars.__dict__) + +@app.route("/tutorial/WebQTLTour", methods=('GET',)) +def tutorial_page(): + #ZS: Currently just links to GN1 + logger.info(request.url) + return redirect("http://gn1.genenetwork.org/tutorial/WebQTLTour/") + @app.route("/submit_bnw", methods=('POST',)) def submit_bnw(): logger.info(request.url) @@ -773,6 +849,19 @@ def get_temp_data(): temp_uuid = request.args['key'] return flask.jsonify(temp_data.TempData(temp_uuid).get_all()) +@app.route("/browser_input", methods=('GET',)) +def browser_inputs(): + """ Returns JSON from tmp directory for the purescript genome browser""" + + filename = request.args['filename'] + + with open("{}/gn2/".format(TEMPDIR) + filename + ".json", "r") as the_file: + file_contents = json.load(the_file) + + return flask.jsonify(file_contents) + + + ########################################################################## def json_default_handler(obj): |
