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author | Alexanderkabui | 2020-12-27 23:17:36 +0300 |
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committer | BonfaceKilz | 2020-12-29 05:24:40 +0300 |
commit | dd2c510ea09ea3169cac3685b299640226d5606a (patch) | |
tree | b03e73a771111f39e688bd783cddea3a91ebf250 | |
parent | c26304ed6a2937654794f908c13ccd3ba4a66453 (diff) | |
download | genenetwork2-dd2c510ea09ea3169cac3685b299640226d5606a.tar.gz |
update tests for run gemma
-rw-r--r-- | wqflask/tests/unit/wqflask/marker_regression/test_gemma_mapping.py | 19 |
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) |