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Skip tests properly (#31308)

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* Skip tests properly

* [test_all]

* Add 'reason' as kwarg for skipTest

* [test_all] Fix up

* [test_all]
This commit is contained in:
amyeroberts
2024-06-26 21:59:08 +01:00
committed by GitHub
parent 1f9f57ab4c
commit 1de7dc7403
254 changed files with 1721 additions and 1298 deletions
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4
tests/models/tapas/test_modeling_tapas.py
View File

@@ -520,11 +520,11 @@ class TapasModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
self.model_tester.create_and_check_for_sequence_classification(*config_and_inputs)
@require_tensorflow_probability
@unittest.skip("tfp is not defined even if installed. FIXME @Arthur in a followup PR!")
@unittest.skip(reason="tfp is not defined even if installed. FIXME @Arthur in a followup PR!")
def test_pt_tf_model_equivalence(self):
pass
@unittest.skip("tfp is not defined even if installed. FIXME @Arthur in a followup PR!")
@unittest.skip(reason="tfp is not defined even if installed. FIXME @Arthur in a followup PR!")
def test_tf_from_pt_safetensors(self):
pass

32
tests/models/tapas/test_tokenization_tapas.py
View File

@@ -158,13 +158,13 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
for tokenizer in tokenizers:
with self.subTest(f"{tokenizer.__class__.__name__}"):
if tokenizer.__class__ not in MODEL_TOKENIZER_MAPPING:
return
self.skipTest(f"{tokenizer.__class__} is not in the MODEL_TOKENIZER_MAPPING")
config_class, model_class = MODEL_TOKENIZER_MAPPING[tokenizer.__class__]
config = config_class()
if config.is_encoder_decoder or config.pad_token_id is None:
return
self.skipTest(reason="Model is an encoder-decoder or does not have a pad token id set")
model = model_class(config)
@@ -184,7 +184,7 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
def test_rust_and_python_full_tokenizers(self):
if not self.test_rust_tokenizer:
return
self.skipTest(reason="test_rust_tokenizer is set to False")
tokenizer = self.get_tokenizer()
rust_tokenizer = self.get_rust_tokenizer()
@@ -223,7 +223,7 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
rust_ids = rust_tokenizer.encode(sequence)
self.assertListEqual(ids, rust_ids)
@unittest.skip("Chat template tests don't play well with table/layout models.")
@unittest.skip(reason="Chat template tests don't play well with table/layout models.")
def test_chat_template_batched(self):
pass
@@ -633,11 +633,11 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
sequences, mask = information["input_ids"], information["token_type_ids"]
self.assertEqual(len(sequences), len(mask))
@unittest.skip("TAPAS tokenizer only handles two sequences.")
@unittest.skip(reason="TAPAS tokenizer only handles two sequences.")
def test_maximum_encoding_length_pair_input(self):
pass
@unittest.skip("TAPAS tokenizer only handles two sequences.")
@unittest.skip(reason="TAPAS tokenizer only handles two sequences.")
def test_maximum_encoding_length_single_input(self):
pass
@@ -779,7 +779,7 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
encoded_sequences_batch_padded_2[key],
)
@unittest.skip("batch_encode_plus does not handle overflowing tokens.")
@unittest.skip(reason="batch_encode_plus does not handle overflowing tokens.")
def test_batch_encode_plus_overflowing_tokens(self):
pass
@@ -846,7 +846,7 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
with self.subTest(f"{tokenizer.__class__.__name__}"):
table = self.get_table(tokenizer, length=0)
if tokenizer.pad_token is None:
self.skipTest("No padding token.")
self.skipTest(reason="No padding token.")
else:
empty_tokens = tokenizer(table, padding=True, pad_to_multiple_of=8)
normal_tokens = tokenizer(table, "This is a sample input", padding=True, pad_to_multiple_of=8)
@@ -864,7 +864,9 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
for key, value in normal_tokens.items():
self.assertEqual(len(value) % 8, 0, f"BatchEncoding.{key} is not multiple of 8")
@unittest.skip("TAPAS cannot handle `prepare_for_model` without passing by `encode_plus` or `batch_encode_plus`")
@unittest.skip(
reason="TAPAS cannot handle `prepare_for_model` without passing by `encode_plus` or `batch_encode_plus`"
)
def test_prepare_for_model(self):
pass
@@ -948,7 +950,7 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
shutil.rmtree(tmpdirname)
@unittest.skip("Not implemented")
@unittest.skip(reason="Not implemented")
def test_right_and_left_truncation(self):
pass
@@ -1051,13 +1053,13 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
for tokenizer in tokenizers:
with self.subTest(f"{tokenizer.__class__.__name__}"):
if tokenizer.__class__ not in MODEL_TOKENIZER_MAPPING:
return
self.skipTest(f"{tokenizer.__class__} is not in the MODEL_TOKENIZER_MAPPING")
config_class, model_class = MODEL_TOKENIZER_MAPPING[tokenizer.__class__]
config = config_class()
if config.is_encoder_decoder or config.pad_token_id is None:
return
self.skipTest(reason="Model is an encoder-decoder or has no padding token set.")
model = model_class(config)
@@ -1081,7 +1083,7 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
model(**encoded_sequence)
model(**batch_encoded_sequence)
@unittest.skip("TAPAS doesn't handle pre-tokenized inputs.")
@unittest.skip(reason="TAPAS doesn't handle pre-tokenized inputs.")
def test_pretokenized_inputs(self):
pass
@@ -1268,10 +1270,10 @@ class TapasTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
self.assertListEqual(column_ids.tolist(), expected_results["column_ids"])
self.assertListEqual(row_ids.tolist(), expected_results["row_ids"])
@unittest.skip("Doesn't support another framework than PyTorch")
@unittest.skip(reason="Doesn't support another framework than PyTorch")
def test_np_encode_plus_sent_to_model(self):
pass
@unittest.skip("Chat is not supported")
@unittest.skip(reason="Chat is not supported")
def test_chat_template(self):
pass