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-rw-r--r--tests/unit/computations/test_partial_correlations.py41
1 files changed, 1 insertions, 40 deletions
diff --git a/tests/unit/computations/test_partial_correlations.py b/tests/unit/computations/test_partial_correlations.py
index 39e6e8e..138155d 100644
--- a/tests/unit/computations/test_partial_correlations.py
+++ b/tests/unit/computations/test_partial_correlations.py
@@ -16,9 +16,7 @@ from gn3.computations.partial_correlations import (
dictify_by_samples,
tissue_correlation,
find_identical_traits,
- partial_correlation_matrix,
- good_dataset_samples_indexes,
- partial_correlation_recursive)
+ good_dataset_samples_indexes)
sampleslist = ["B6cC3-1", "BXD1", "BXD12", "BXD16", "BXD19", "BXD2"]
control_traits = (
@@ -397,40 +395,3 @@ class TestPartialCorrelations(TestCase):
with self.subTest(xdata=xdata, ydata=ydata, zdata=zdata):
self.assertTrue(
build_data_frame(xdata, ydata, zdata).equals(expected))
-
- def test_partial_correlation_matrix(self):
- """
- Test that `partial_correlation_matrix` computes the appropriate
- correlation value.
- """
- for sample in parse_test_data_csv(
- ("tests/unit/computations/partial_correlations_test_data/"
- "pcor_mat_blackbox_test.csv")):
- with self.subTest(
- xdata=sample["x"], ydata=sample["y"], zdata=sample["z"],
- method=sample["method"], omit_nones=sample["rm"]):
- self.assertEqual(
- partial_correlation_matrix(
- sample["x"], sample["y"], sample["z"],
- method=sample["method"], omit_nones=sample["rm"]),
- sample["result"])
-
- def test_partial_correlation_recursive(self):
- """
- Test that `partial_correlation_recursive` computes the appropriate
- correlation value.
- """
- for sample in parse_test_data(
- ("tests/unit/computations/partial_correlations_test_data/"
- "pcor_rec_blackbox_test.txt"),
- parse_for_rec):
- with self.subTest(
- xdata=sample["x"], ydata=sample["y"], zdata=sample["z"],
- method=sample["method"], omit_nones=sample["rm"]):
- self.assertEqual(
- round(
- partial_correlation_recursive(
- sample["x"], sample["y"], sample["z"],
- method=sample["method"], omit_nones=sample["rm"]),
- ROUND_TO),
- round(sample["result"], ROUND_TO))