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authorAlexanderkabui2020-12-27 23:17:36 +0300
committerBonfaceKilz2020-12-29 05:24:40 +0300
commitdd2c510ea09ea3169cac3685b299640226d5606a (patch)
treeb03e73a771111f39e688bd783cddea3a91ebf250
parentc26304ed6a2937654794f908c13ccd3ba4a66453 (diff)
downloadgenenetwork2-dd2c510ea09ea3169cac3685b299640226d5606a.tar.gz
update tests for run gemma
-rw-r--r--wqflask/tests/unit/wqflask/marker_regression/test_gemma_mapping.py19
1 files changed, 12 insertions, 7 deletions
diff --git a/wqflask/tests/unit/wqflask/marker_regression/test_gemma_mapping.py b/wqflask/tests/unit/wqflask/marker_regression/test_gemma_mapping.py
index eab6afe6..fe2569b8 100644
--- a/wqflask/tests/unit/wqflask/marker_regression/test_gemma_mapping.py
+++ b/wqflask/tests/unit/wqflask/marker_regression/test_gemma_mapping.py
@@ -144,21 +144,26 @@ class TestGemmaMapping(unittest.TestCase):
"files": [["file_name", "user", "~/file1"],
["file_name", "user", "~/file2"]]
}
- return_file_1 = """X/Y\t L1\t21\tQ\tE\tA\tP\tMMB\tCDE\t0.5
-X/Y\tL2\t21322\tQ\tE\tA\tP\tMMB\tCDE\t0.5
-chr\tL3\t12312\tQ\tE\tA\tP\tMMB\tCDE\t0.7"""
- return_file_2 = """chr\tother\t21322\tQ\tE\tA\tP\tMMB\tCDE\t0.5"""
+ return_file="""X/Y\tM1\t28.457155\tQ\tE\tA\tMMB\t23.3\tW\t0.9\t0.85\t
+chr4\tM2\t12\tQ\tE\tMMB\tR\t24\tW\t0.87\t0.5
+Y\tM4\t12\tQ\tE\tMMB\tR\t11.6\tW\t0.21\t0.7
+X\tM5\t12\tQ\tE\tMMB\tR\t21.1\tW\t0.65\t0.6"""
+
+ return_file_2 = """chr\tother\t21322\tQ\tE\tA\tP\tMMB\tCDE\t0.5\t0.4"""
mock_os.path.isfile.return_value = True
file_to_write = """{"files":["file_1","file_2"]}"""
with mock.patch("builtins.open") as mock_open:
handles = (mock.mock_open(read_data="gwas").return_value, mock.mock_open(
- read_data=return_file_1).return_value, mock.mock_open(read_data=return_file_2).return_value)
+ read_data=return_file).return_value, mock.mock_open(read_data=return_file_2).return_value)
mock_open.side_effect = handles
results = parse_loco_output(
this_dataset={}, gwa_output_filename=".xw/")
- expected_results = [{'name': ' L1', 'chr': 'X/Y', 'Mb': 2.1e-05, 'p_value': 0.5, 'lod_score': 0.3010299956639812}, {
- 'name': 'L2', 'chr': 'X/Y', 'Mb': 0.021322, 'p_value': 0.5, 'lod_score': 0.3010299956639812}]
+ expected_results= [
+ {'name': 'M1', 'chr': 'X/Y', 'Mb': 2.8457155e-05, 'p_value': 0.85, 'additive': 23.3, 'lod_score': 0.07058107428570727},
+ {'name': 'M2', 'chr': 4, 'Mb': 1.2e-05, 'p_value': 0.5, 'additive': 24.0, 'lod_score': 0.3010299956639812},
+ {'name': 'M4', 'chr': 'Y', 'Mb': 1.2e-05, 'p_value': 0.7, 'additive': 11.6, 'lod_score': 0.1549019599857432},
+ {'name': 'M5', 'chr': 'X', 'Mb': 1.2e-05, 'p_value': 0.6, 'additive': 21.1, 'lod_score': 0.22184874961635637}]
self.assertEqual(expected_results, results)