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| author | Alexander Kabui | 2021-04-17 04:16:06 +0300 |
|---|---|---|
| committer | Alexander Kabui | 2021-04-17 04:16:06 +0300 |
| commit | e8dddf89e0736b024aa28d4170a5865f6869f7da (patch) | |
| tree | 2f777d617d4e93026e461b3381fc461d3d335654 | |
| parent | 04965d0157a9b6545dbd1007685f7c3defa26e61 (diff) | |
| download | genenetwork3-e8dddf89e0736b024aa28d4170a5865f6869f7da.tar.gz | |
refactor tests for lit
| -rw-r--r-- | tests/unit/computations/test_correlation.py | 20 |
1 files changed, 7 insertions, 13 deletions
diff --git a/tests/unit/computations/test_correlation.py b/tests/unit/computations/test_correlation.py index 26a5d29..a8d199d 100644 --- a/tests/unit/computations/test_correlation.py +++ b/tests/unit/computations/test_correlation.py @@ -381,20 +381,16 @@ class TestCorrelation(TestCase): database = mock.Mock() - expected_mocked_lit_results = [{"gene_id": 11, "lit_corr": 9}, { - "gene_id": 17, "lit_corr": 8}] + expected_mocked_lit_results = [{"1412_at": {"gene_id": 11, "lit_corr": 0.9}}, {"1412_a": { + "gene_id": 17, "lit_corr": 0.48}}] - mock_lit_corr.side_effect = expected_mocked_lit_results + mock_lit_corr.return_value = expected_mocked_lit_results lit_correlation_results = compute_all_lit_correlation( - conn=database, trait_lists=[{"gene_id": 11}], + conn=database, trait_lists=[("1412_at", 11), ("1412_a", 121)], species="rat", gene_id=12) - expected_results = { - "lit_results": {"gene_id": 11, "lit_corr": 9} - } - - self.assertEqual(lit_correlation_results, expected_results) + self.assertEqual(lit_correlation_results, expected_mocked_lit_results) @mock.patch("gn3.computations.correlations.tissue_correlation_for_trait_list") @mock.patch("gn3.computations.correlations.process_trait_symbol_dict") @@ -421,10 +417,8 @@ class TestCorrelation(TestCase): mock_tissue_corr.side_effect = [{"tissue_corr": -0.5, "p_value": 0.9, "tissue_number": 3}, {"tissue_corr": 1.11, "p_value": 0.2, "tissue_number": 3}] - expected_results = {"1418702_a_at": - {"tissue_corr": -0.5, "p_value": 0.9, "tissue_number": 3}, - "1412_at": - {"tissue_corr": 1.11, "p_value": 0.2, "tissue_number": 3}} + expected_results = [{"1412_at": {"tissue_corr": 1.11, "p_value": 0.2, "tissue_number": 3}}, + {"1418702_a_at": {"tissue_corr": -0.5, "p_value": 0.9, "tissue_number": 3}}] results = compute_all_tissue_correlation( primary_tissue_dict=primary_tissue_dict, |