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author | Frederick Muriuki Muriithi | 2021-10-25 19:12:24 +0300 |
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committer | Frederick Muriuki Muriithi | 2021-10-25 19:12:24 +0300 |
commit | 783f302c5d4729eb0b5fb6ba79180b7cd97764a5 (patch) | |
tree | a36567f82d76c3013bbb6021fa6d08eb09500201 /gn3/data_helpers.py | |
parent | 5a472ebab04c68cd5228f253cc98d0ae22a520d7 (diff) | |
download | genenetwork3-783f302c5d4729eb0b5fb6ba79180b7cd97764a5.tar.gz |
Implement `partition_all` function
Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* gn3/data_helpers.py: new function (partition_all)
* tests/unit/test_data_helpers.py: tests for function
`gn3.data_helpers.partition_all`
As part of migrating some functions that access the database, this commit
extracts generic processes that can be accomplished on data, and implements
the `partition_all` function, that is equivalent to Clojure's
`partition-all` function.
Diffstat (limited to 'gn3/data_helpers.py')
-rw-r--r-- | gn3/data_helpers.py | 25 |
1 files changed, 25 insertions, 0 deletions
diff --git a/gn3/data_helpers.py b/gn3/data_helpers.py new file mode 100644 index 0000000..f0d971e --- /dev/null +++ b/gn3/data_helpers.py @@ -0,0 +1,25 @@ +""" +This module will hold generic functions that can operate on a wide-array of +data structures. +""" + +from math import ceil +from functools import reduce +from typing import Any, Tuple, Sequence + +def partition_all(num: int, items: Sequence[Any]) -> Tuple[Tuple[Any, ...], ...]: + """ + Given a sequence `items`, return a new sequence of the same type as `items` + with the data partitioned into sections of `n` items per partition. + + This is an approximation of clojure's `partition-all` function. + """ + def __compute_start_stop__(acc, iteration): + start = iteration * num + return acc + ((start, start + num),) + + iterations = range(ceil(len(items) / num)) + return tuple([# type: ignore[misc] + tuple(items[start:stop]) for start, stop # type: ignore[has-type] + in reduce( + __compute_start_stop__, iterations, tuple())]) |