Some tests misusing assertTrue for comparisons fix (#16771)
* Fix issue avoid-misusing-assert-true found at https://codereview.doctor * fix tests * fix tf Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
This commit is contained in:
committed by
GitHub
parent
d3bd9ac728
commit
a2392415e9
@@ -809,7 +809,7 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
|
||||
trainer = get_regression_trainer(a=1.5, b=2.5, double_output=True)
|
||||
preds = trainer.predict(trainer.eval_dataset).predictions
|
||||
x = trainer.eval_dataset.x
|
||||
self.assertTrue(len(preds), 2)
|
||||
self.assertEqual(len(preds), 2)
|
||||
self.assertTrue(np.allclose(preds[0], 1.5 * x + 2.5))
|
||||
self.assertTrue(np.allclose(preds[1], 1.5 * x + 2.5))
|
||||
|
||||
@@ -819,7 +819,7 @@ class TrainerIntegrationTest(TestCasePlus, TrainerIntegrationCommon):
|
||||
preds = outputs.predictions
|
||||
labels = outputs.label_ids
|
||||
x = trainer.eval_dataset.x
|
||||
self.assertTrue(len(preds), 2)
|
||||
self.assertEqual(len(preds), 2)
|
||||
self.assertTrue(np.allclose(preds[0], 1.5 * x + 2.5))
|
||||
self.assertTrue(np.allclose(preds[1], 1.5 * x + 2.5))
|
||||
self.assertTrue(np.array_equal(labels[0], trainer.eval_dataset.ys[0]))
|
||||
|
||||
Reference in New Issue
Block a user