test: finalize

Author: tristan-f-r

…ted/expected-pca-coordinates-negated.tsv …ected-pca-coordinates-sorted-negated.tsvtest/ml/expected/expected-pca-coordinates-negated.tsv renamed to test/ml/expected/expected-pca-coordinates-sorted-negated.tsv test/ml/expected/expected-pca-coordinates-negated.tsv renamed to test/ml/expected/expected-pca-coordinates-sorted-negated.tsv

@@ -0,0 +1,5 @@
+datapoint_labels	PC1	PC2
+centroid	0.0	0.0
+test-data-s1	-0.94594398	-0.46508182
+test-data-s2	-0.72014153	0.5090913
+test-data-s3	1.66608552	-0.04400948

test/ml/expected/expected-pca-coordinates-sorted.tsv

@@ -1,5 +1,5 @@
 datapoint_labels	PC1	PC2
-centroid	0.0	0.0
 test-data-s1	-0.94594398	-0.46508182
 test-data-s2	-0.72014153	0.5090913
 test-data-s3	1.66608552	-0.04400948
+centroid	0.0	0.0

test/ml/expected/expected-pca-coordinates.tsv

@@ -111,8 +111,8 @@ def test_pca_robustness(self):
                                            INPUT_DIR + 'test-data-s3/s3.txt'])
         # PCA signage now depends on the input data: we need two differently signed PCA coordinate files.
         # See https://scikit-learn.org/stable/whats_new/v1.5.html#changed-models for more info.
-        expected = pd.read_table(EXPECT_DIR + 'expected-pca-coordinates.tsv')
-        expected_other = pd.read_table(EXPECT_DIR + 'expected-pca-coordinates-negated.tsv')
+        expected = pd.read_table(EXPECT_DIR + 'expected-pca-coordinates-sorted.tsv')
+        expected_other = pd.read_table(EXPECT_DIR + 'expected-pca-coordinates-sorted-negated.tsv')
         expected = expected.round(5)
         expected_other = expected_other.round(5)
         expected.sort_values(by='datapoint_labels', ignore_index=True, inplace=True)