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authorBonfaceKilz2021-06-21 08:58:27 +0300
committerGitHub2021-06-21 08:58:27 +0300
commitf949189dc727976a1574a57d3b0e895ff6598d07 (patch)
treee7e0634176d55afefa25467652b4f97601287837 /tests/unit
parentd653a635d0efd2291754c18f51d31f91a1c0a25c (diff)
parent10140ab707021dd2dffb1b439f52a62e3d59c29a (diff)
downloadgenenetwork3-f949189dc727976a1574a57d3b0e895ff6598d07.tar.gz
Merge pull request #20 from genenetwork/feature/biweight-correlation
add biweight r script and tests
Diffstat (limited to 'tests/unit')
-rw-r--r--tests/unit/computations/test_biweight.py21
-rw-r--r--tests/unit/computations/test_correlation.py6
2 files changed, 25 insertions, 2 deletions
diff --git a/tests/unit/computations/test_biweight.py b/tests/unit/computations/test_biweight.py
new file mode 100644
index 0000000..ad404f1
--- /dev/null
+++ b/tests/unit/computations/test_biweight.py
@@ -0,0 +1,21 @@
+"""test for biweight script"""
+from unittest import TestCase
+from unittest import mock
+
+from gn3.computations.biweight import calculate_biweight_corr
+
+
+class TestBiweight(TestCase):
+ """test class for biweight"""
+
+ @mock.patch("gn3.computations.biweight.subprocess.check_output")
+ def test_calculate_biweight_corr(self, mock_check_output):
+ """test for calculate_biweight_corr func"""
+ mock_check_output.return_value = "0.1 0.5"
+ results = calculate_biweight_corr(command="Rscript",
+ path_to_script="./r_script.R",
+ trait_vals=[
+ 1.2, 1.1, 1.9],
+ target_vals=[1.9, 0.4, 1.1])
+
+ self.assertEqual(results, (0.1, 0.5))
diff --git a/tests/unit/computations/test_correlation.py b/tests/unit/computations/test_correlation.py
index 5746adf..b1bc6ef 100644
--- a/tests/unit/computations/test_correlation.py
+++ b/tests/unit/computations/test_correlation.py
@@ -98,12 +98,14 @@ class TestCorrelation(TestCase):
self.assertEqual(results, expected_results)
- def test_bicor(self):
+ @mock.patch("gn3.computations.correlations.calculate_biweight_corr")
+ def test_bicor(self, mock_biweight):
"""Test for doing biweight mid correlation """
+ mock_biweight.return_value = (1.0, 0.0)
results = do_bicor(x_val=[1, 2, 3], y_val=[4, 5, 6])
- self.assertEqual(results, (0.0, 0.0)
+ self.assertEqual(results, (1.0, 0.0)
)
@mock.patch("gn3.computations.correlations.compute_corr_coeff_p_value")