SUMIN/HuggingFace_transformer
1
0
Fork 0
Code Issues Pull Requests Actions 7 Packages Projects Releases Wiki Activity

Skip tests properly (#31308)

Browse Source 
* 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
Download Patch File Download Diff File Expand all files Collapse all files

14
tests/models/wav2vec2_phoneme/test_tokenization_wav2vec2_phoneme.py
View File

@@ -325,19 +325,21 @@ class Wav2Vec2PhonemeCTCTokenizerTest(TokenizerTesterMixin, unittest.TestCase):
outputs_char = [tokenizer.decode(ids, output_char_offsets=True) for ids in sample_ids]
check_list_tuples_equal(outputs_char_batch, outputs_char)
@unittest.skip("Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes")
@unittest.skip(reason="Wav2Vec2PhonemeTokenizer always lower cases letters to correctly map to phonemes")
def test_added_tokens_do_lower_case(self):
pass
@unittest.skip("Wav2Vec2PhonemeTokenizer always puts spaces between phonemes")
@unittest.skip(reason="Wav2Vec2PhonemeTokenizer always puts spaces between phonemes")
def test_encode_decode_with_spaces(self):
pass
@unittest.skip("encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency")
@unittest.skip(
reason="encodes to text to ids, but decodes ids to phonemes -> not possible to have internal consistency"
)
def test_internal_consistency(self):
pass
@unittest.skip("Wav2Vec2PhonemeModel has no max model length => no testing")
@unittest.skip(reason="Wav2Vec2PhonemeModel has no max model length => no testing")
def test_add_tokens_tokenizer(self):
tokenizers = self.get_tokenizers(do_lower_case=False)
for tokenizer in tokenizers:
@@ -389,11 +391,11 @@ class Wav2Vec2PhonemeCTCTokenizerTest(TokenizerTesterMixin, unittest.TestCase):
self.assertEqual(tokens[0], tokenizer.eos_token_id)
self.assertEqual(tokens[-3], tokenizer.pad_token_id)
@unittest.skip("The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode.")
@unittest.skip(reason="The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode.")
def test_tf_encode_plus_sent_to_model(self):
pass
@unittest.skip("The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode.")
@unittest.skip(reason="The tokenizer shouldn't be used to encode input IDs (except for labels), only to decode.")
def test_torch_encode_plus_sent_to_model(self):
pass