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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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13
tests/models/canine/test_tokenization_canine.py
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@@ -303,31 +303,32 @@ class CanineTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
self.assertListEqual(getattr(tokenizer, "additional_special_tokens"), [additional_special_token])
self.assertListEqual(getattr(tokenizer, "additional_special_tokens_ids"), [additional_special_token_id])
# tokenizer has a fixed vocab_size (namely all possible unicode code points)
@unittest.skip(reason="tokenizer has a fixed vocab_size (namely all possible unicode code points)")
def test_add_tokens_tokenizer(self):
pass
# CanineTokenizer does not support do_lower_case = True, as each character has its own Unicode code point
# ("b" and "B" for example have different Unicode code points)
@unittest.skip(reason="CanineTokenizer does not support do_lower_case = True")
def test_added_tokens_do_lower_case(self):
pass
# CanineModel does not support the get_input_embeddings nor the get_vocab method
@unittest.skip(reason="CanineModel does not support the get_input_embeddings nor the get_vocab method")
def test_np_encode_plus_sent_to_model(self):
pass
# CanineModel does not support the get_input_embeddings nor the get_vocab method
@unittest.skip(reason="CanineModel does not support the get_input_embeddings nor the get_vocab method")
def test_torch_encode_plus_sent_to_model(self):
pass
# tokenizer does not have vocabulary
@unittest.skip(reason="CanineTokenizer does not have vocabulary")
def test_get_vocab(self):
pass
# inputs cannot be pretokenized since ids depend on whole input string and not just on single characters
@unittest.skip(reason="inputs cannot be pretokenized since ids depend on whole input string")
def test_pretokenized_inputs(self):
pass
# tests all ids in vocab => vocab doesn't exist so unnecessary to test
@unittest.skip(reason="CanineTokenizer does not have vocabulary")
def test_conversion_reversible(self):
pass