aboutsummaryrefslogtreecommitdiff
diff options
context:
space:
mode:
-rw-r--r--gn3/partial_correlations.py38
-rw-r--r--tests/unit/test_partial_correlations.py33
2 files changed, 69 insertions, 2 deletions
diff --git a/gn3/partial_correlations.py b/gn3/partial_correlations.py
index c556d10..1fb0ccc 100644
--- a/gn3/partial_correlations.py
+++ b/gn3/partial_correlations.py
@@ -6,7 +6,7 @@ GeneNetwork1.
"""
from functools import reduce
-from typing import Any, Sequence
+from typing import Any, Tuple, Sequence
def control_samples(controls: Sequence[dict], sampleslist: Sequence[str]):
"""
@@ -86,3 +86,39 @@ def fix_samples(primary_trait: dict, control_traits: Sequence[dict]) -> Sequence
control_vals_vars[0],
tuple(primary_trait[sample]["variance"] for sample in primary_samples),
control_vals_vars[1])
+
+def find_identical_traits(
+ primary_name: str, primary_value: float, control_names: Tuple[str, ...],
+ control_values: Tuple[float, ...]) -> Tuple[str, ...]:
+ """
+ Find traits that have the same value when the values are considered to
+ 3 decimal places.
+
+ This is a migration of the
+ `web.webqtl.correlation.correlationFunction.findIdenticalTraits` function in
+ GN1.
+ """
+ def __merge_identicals__(
+ acc: Tuple[str, ...],
+ ident: Tuple[str, Tuple[str, ...]]) -> Tuple[str, ...]:
+ return acc + ident[1]
+
+ def __dictify_controls__(acc, control_item):
+ ckey = "{:.3f}".format(control_item[0])
+ return {**acc, ckey: acc.get(ckey, tuple()) + (control_item[1],)}
+
+ return (reduce(## for identical control traits
+ __merge_identicals__,
+ (item for item in reduce(# type: ignore[var-annotated]
+ __dictify_controls__, zip(control_values, control_names),
+ {}).items() if len(item[1]) > 1),
+ tuple())
+ or
+ reduce(## If no identical control traits, try primary and controls
+ __merge_identicals__,
+ (item for item in reduce(# type: ignore[var-annotated]
+ __dictify_controls__,
+ zip((primary_value,) + control_values,
+ (primary_name,) + control_names), {}).items()
+ if len(item[1]) > 1),
+ tuple()))
diff --git a/tests/unit/test_partial_correlations.py b/tests/unit/test_partial_correlations.py
index c591c8f..60e54c1 100644
--- a/tests/unit/test_partial_correlations.py
+++ b/tests/unit/test_partial_correlations.py
@@ -4,7 +4,8 @@ from unittest import TestCase
from gn3.partial_correlations import (
fix_samples,
control_samples,
- dictify_by_samples)
+ dictify_by_samples,
+ find_identical_traits)
sampleslist = ["B6cC3-1", "BXD1", "BXD12", "BXD16", "BXD19", "BXD2"]
control_traits = (
@@ -178,3 +179,33 @@ class TestPartialCorrelations(TestCase):
(None,),
(None, None, None, None, None, None, None, None, None, None, None,
None, None)))
+
+ def test_find_identical_traits(self):
+ """
+ Test `gn3.partial_correlations.find_identical_traits`.
+
+ Given:
+ - the name of a primary trait
+ - the value of a primary trait
+ - a sequence of names of control traits
+ - a sequence of values of control traits
+ When:
+ - the arguments above are passed to the `find_identical_traits`
+ function
+ Then:
+ - Return ALL trait names that have the same value when up to three
+ decimal places are considered
+ """
+ for primn, primv, contn, contv, expected in (
+ ("pt", 12.98395, ("ct0", "ct1", "ct2"),
+ (0.1234, 2.3456, 3.4567), tuple()),
+ ("pt", 12.98395, ("ct0", "ct1", "ct2"),
+ (12.98354, 2.3456, 3.4567), ("pt", "ct0")),
+ ("pt", 12.98395, ("ct0", "ct1", "ct2", "ct3"),
+ (0.1234, 2.3456, 0.1233, 4.5678), ("ct0", "ct2"))
+ ):
+ with self.subTest(
+ primary_name=primn, primary_value=primv,
+ control_names=contn, control_values=contv):
+ self.assertEqual(
+ find_identical_traits(primn, primv, contn, contv), expected)