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Rework the code to process the traits in a single iteration to improve
performance.
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Return generator objects rather than pre-computed tuples to reduce the number
of iterations needed to process the data, and thus improve the performance of
the system somewhat.
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After reworking the worker/runner to have a one-shot mode, add a function that
queues up the task and then runs the worker in the one-shot mode to process
the computation in the background.
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Enable the running of the worker script in one-shot mode.
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Enable the endpoint to actually compute partial correlations with selected
target traits rather than against an entire dataset.
Fix some issues caused by recent refactor that broke pcorrs against a dataset
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Compute partial correlations against a selection of traits rather than against
an entire dataset.
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* Extract the common error checking code into a separate function
* Rename the function to make its use clearer
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* README.md: Link to continuous deployment.
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Remove an unnecessary looping construct to help with speeding up the partial
correlations somewhat.
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non-CaseAttribute headers (before this caused issues if someone was
adding case attributes to a file that already contained some case
attributes)
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Apparently max(string1, string2) in Python gets the strong that is
highest alphabetically, but I'm pretty sure this line was intenteded
to get the header with the most items (which this commit doesn't fully
address; you could still end up with a situation where some case
attributes were removed while others were added, though that should be
rare)
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* gn3/csvcmp.py (get_allowable_sampledata_headers): Delete it.
* tests/unit/test_csvcmp.py: Remove "get_allowable_sampledata_headers" import.
(test_get_allowable_csv_headers): Delete it.
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* gn3/db/sample_data.py (get_trait_csv_sample_data): Strip out "\n", "\t", or
"\r" from the sample data. See:
<https://issues.genenetwork.org/issues/csv-error-ITP_10001-longevity-data-set.html>
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* tests/unit/db/test_sample_data.py: import "get_trait_csv_sample_data".
(test_get_trait_csv_sample_data): New test function.
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* gn3/db/sample_data.py (delete_sample_data): If an id is present in the column header, use it.
* tests/unit/db/test_sample_data.py (test_delete_sample_data): Update tests to
capture the above.
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* gn3/db/sample_data.py (insert_sample_data): If an id is present in the column header, use it.
* tests/unit/db/test_sample_data.py (test_insert_sample_data): Update tests to
capture the above.
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* gn3/db/sample_data.py: Import "parse_csv_column".
(update_sample_data): If an id is present in the column header, use it.
* tests/unit/db/test_sample_data.py (test_update_sample_data): Update tests to
capture the above.
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* gn3/db/sample_data.py (get_case_attributes): New function.
* tests/unit/db/test_sample_data.py (test_get_case_attributes): Test case for
the above.
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* gn3/db/sample_data.py: Run "python black -l 79 ..."
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* gn3/csvcmp.py (parse_csv_column): New function.
* tests/unit/test_csvcmp.py: Test case for the above.
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* gn3/csvcmp.py: Run "black -l 79 ..."
* tests/unit/db/test_sample_data.py: Ditto.
* tests/unit/test_csvcmp.py: Ditto.
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returning a string"
This reverts commit b93b22386056347d8002dd2e403425beeb4657cd.
The appropriate fix should have been in GN2. The original statement
args = request.get_json()
was correct, since `request.get_json()` should return a python object parsed
from the JSON string in the request. Unfortunately, GN2 was encoding the
request data two times, which led to the call returning a JSON-encoded string
instead of the expected object.
The issue has been fixed in GN2 and therefore, the "fix" here can be reverted.
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Remove unused modules from the `use-modules` arguments.
Signed-off-by: Arun Isaac <arunisaac@systemreboot.net>
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* Remove a module that is no longer in use
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returning a string
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Implement a fixture that:
* Creates a new test database
* Copies over table structure from existing database
* Gets connection to new test database and returns it
* Cleans up after itself when the tests have run
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See: <https://ci.genenetwork.org/jobs/genenetwork3-pylint/126>
* gn3/computations/rqtl.py: Run `black gn3/computations/rqtl.py`. Also,
manually fix other pylint issues.
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Feature/add rqtl pairscan
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https://github.com/zsloan/genenetwork3 into feature/add_rqtl_pairscan
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Now it checks for pairscan first, just in case interval ends up being
passed (which is an irrelevant parameter for pairscan)
Also added a couple more verbose prints
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position in pair-scan results + return only the sorted top 500 results
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selected
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it's needed to store the proximal/distal markers for each position
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Dict and List respectively used for the pair scan figure and the table showing the results
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we need the list of markers/pseudomarkers and their positions)
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api/rqtl.py
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in pairscan results + renamed process_rqtl_output to process_rqtl_mapping to distinguish between that and pairscan
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step-size to 10cM for pair-scan
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(pairscan) is used
- For pairscan default to using step 20 (subject to change, but some
step is required during calc.genoprob to make it run fast enough)
- Added some new verbose prints
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