


'''simple docstring'''
import unittest

from transformers import SPIECE_UNDERLINE
from transformers.models.speechta import SpeechTaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.tokenization_utils import AddedToken

from ...test_tokenization_common import TokenizerTesterMixin


__snake_case											=					get_tests_dir('''fixtures/test_sentencepiece_bpe_char.model''')
@require_sentencepiece
@require_tokenizers
class        lowercase     (							A__     ,		unittest.TestCase ):

		"""simple docstring"""

		_a   			=    SpeechTaTokenizer
		_a   			=    False
		_a   			=    True




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							super().setUp()

							# We have a SentencePiece fixture for testing
							UpperCamelCase__       :str							 =			SpeechTaTokenizer(UpperCamelCase_							)

							UpperCamelCase__       :Optional[int]							 =			AddedToken('''<mask>'''   ,       lstrip=UpperCamelCase_   ,       rstrip=UpperCamelCase_							)
							UpperCamelCase__       :Any							 =			mask_token
							tokenizer.add_special_tokens({'''mask_token''': mask_token}							)
							tokenizer.add_tokens(['''<ctc_blank>''']							)

							tokenizer.save_pretrained(self.tmpdirname							)




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__       :int							 =			'''this is a test'''
							UpperCamelCase__       :Any							 =			'''this is a test'''
							return input_text, output_text




		def    lowerCAmelCase__    (		self   ,       UpperCamelCase_   ,       UpperCamelCase_=False   ,       UpperCamelCase_=20   ,       UpperCamelCase_=5							):

							'''simple docstring'''


							UpperCamelCase__       :int							 =			self.get_input_output_texts(UpperCamelCase_							)
							UpperCamelCase__       :Dict							 =			tokenizer.encode(UpperCamelCase_   ,       add_special_tokens=UpperCamelCase_							)
							UpperCamelCase__       :Any							 =			tokenizer.decode(UpperCamelCase_   ,       clean_up_tokenization_spaces=UpperCamelCase_							)
							return text, ids




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Dict							 =			'''<pad>'''
							UpperCamelCase__       :Any							 =			1

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCamelCase_							)   ,       UpperCamelCase_							)
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCamelCase_							)   ,       UpperCamelCase_							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :List[Any]							 =			list(self.get_tokenizer().get_vocab().keys()							)

							self.assertEqual(vocab_keys[0]   ,       '''<s>'''							)
							self.assertEqual(vocab_keys[1]   ,       '''<pad>'''							)
							self.assertEqual(vocab_keys[-4]   ,       '''œ'''							)
							self.assertEqual(vocab_keys[-2]   ,       '''<mask>'''							)
							self.assertEqual(vocab_keys[-1]   ,       '''<ctc_blank>'''							)
							self.assertEqual(len(UpperCamelCase_							)   ,       81							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							self.assertEqual(self.get_tokenizer().vocab_size   ,       79							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Optional[Any]							 =			self.get_tokenizers(do_lower_case=UpperCamelCase_							)
							for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''							):
																	UpperCamelCase__       :List[str]							 =			tokenizer.vocab_size
																	UpperCamelCase__       :Dict							 =			len(UpperCamelCase_							)

																	self.assertNotEqual(UpperCamelCase_   ,       0							)

																	# We usually have added tokens from the start in tests because our vocab fixtures are
																	# smaller than the original vocabs - let's not assert this
																	# self.assertEqual(vocab_size, all_size)

																	UpperCamelCase__       :Union[str, Any]							 =			['''aaaaa bbbbbb''', '''cccccccccdddddddd''']
																	UpperCamelCase__       :Optional[Any]							 =			tokenizer.add_tokens(UpperCamelCase_							)
																	UpperCamelCase__       :List[Any]							 =			tokenizer.vocab_size
																	UpperCamelCase__       :int							 =			len(UpperCamelCase_							)

																	self.assertNotEqual(UpperCamelCase_   ,       0							)
																	self.assertEqual(UpperCamelCase_   ,       UpperCamelCase_							)
																	self.assertEqual(UpperCamelCase_   ,       len(UpperCamelCase_							)							)
																	self.assertEqual(UpperCamelCase_   ,       all_size + len(UpperCamelCase_							)							)

																	UpperCamelCase__       :List[str]							 =			tokenizer.encode('''aaaaa bbbbbb low cccccccccdddddddd l'''   ,       add_special_tokens=UpperCamelCase_							)

																	self.assertGreaterEqual(len(UpperCamelCase_							)   ,       4							)
																	self.assertGreater(tokens[0]   ,       tokenizer.vocab_size - 1							)
																	self.assertGreater(tokens[-3]   ,       tokenizer.vocab_size - 1							)

																	UpperCamelCase__       :Dict							 =			{'''eos_token''': '''>>>>|||<||<<|<<''', '''pad_token''': '''<<<<<|||>|>>>>|>'''}
																	UpperCamelCase__       :List[str]							 =			tokenizer.add_special_tokens(UpperCamelCase_							)
																	UpperCamelCase__       :Optional[Any]							 =			tokenizer.vocab_size
																	UpperCamelCase__       :str							 =			len(UpperCamelCase_							)

																	self.assertNotEqual(UpperCamelCase_   ,       0							)
																	self.assertEqual(UpperCamelCase_   ,       UpperCamelCase_							)
																	self.assertEqual(UpperCamelCase_   ,       len(UpperCamelCase_							)							)
																	self.assertEqual(UpperCamelCase_   ,       all_size_a + len(UpperCamelCase_							)							)

																	UpperCamelCase__       :Dict							 =			tokenizer.encode(
																	    '''>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l'''   ,       add_special_tokens=UpperCamelCase_							)

																	self.assertGreaterEqual(len(UpperCamelCase_							)   ,       6							)
																	self.assertGreater(tokens[0]   ,       tokenizer.vocab_size - 1							)
																	self.assertGreater(tokens[0]   ,       tokens[1]							)
																	self.assertGreater(tokens[-3]   ,       tokenizer.vocab_size - 1							)
																	self.assertGreater(tokens[-3]   ,       tokens[-4]							)
																	self.assertEqual(tokens[0]   ,       tokenizer.eos_token_id							)
																	self.assertEqual(tokens[-3]   ,       tokenizer.pad_token_id							)




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							pass




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							pass




		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Optional[int]							 =			self.get_tokenizer()

							UpperCamelCase__       :Any							 =			tokenizer.tokenize('''This is a test'''							)
							# fmt: off
							self.assertListEqual(UpperCamelCase_   ,       [SPIECE_UNDERLINE, '''T''', '''h''', '''i''', '''s''', SPIECE_UNDERLINE, '''i''', '''s''', SPIECE_UNDERLINE, '''a''', SPIECE_UNDERLINE, '''t''', '''e''', '''s''', '''t''']							)
							# fmt: on

							self.assertListEqual(
							    tokenizer.convert_tokens_to_ids(UpperCamelCase_							)   ,       [4, 32, 11, 10, 12, 4, 10, 12, 4, 7, 4, 6, 5, 12, 6]   ,       )

							UpperCamelCase__       :List[Any]							 =			tokenizer.tokenize('''I was born in 92000, and this is falsé.'''							)
							self.assertListEqual(
							    UpperCamelCase_   ,       [SPIECE_UNDERLINE, '''I''', SPIECE_UNDERLINE, '''w''', '''a''', '''s''', SPIECE_UNDERLINE, '''b''', '''o''', '''r''', '''n''', SPIECE_UNDERLINE, '''i''', '''n''', SPIECE_UNDERLINE, '''92000''', ''',''', SPIECE_UNDERLINE, '''a''', '''n''', '''d''', SPIECE_UNDERLINE, '''t''', '''h''', '''i''', '''s''', SPIECE_UNDERLINE, '''i''', '''s''', SPIECE_UNDERLINE, '''f''', '''a''', '''l''', '''s''', '''é''', '''.''']							)

							UpperCamelCase__       :Dict							 =			tokenizer.convert_tokens_to_ids(UpperCamelCase_							)
							# fmt: off
							self.assertListEqual(UpperCamelCase_   ,       [4, 30, 4, 20, 7, 12, 4, 25, 8, 13, 9, 4, 10, 9, 4, 3, 23, 4, 7, 9, 14, 4, 6, 11, 10, 12, 4, 10, 12, 4, 19, 7, 15, 12, 73, 26]							)
							# fmt: on

							UpperCamelCase__       :int							 =			tokenizer.convert_ids_to_tokens(UpperCamelCase_							)
							self.assertListEqual(
							    UpperCamelCase_   ,       [SPIECE_UNDERLINE, '''I''', SPIECE_UNDERLINE, '''w''', '''a''', '''s''', SPIECE_UNDERLINE, '''b''', '''o''', '''r''', '''n''', SPIECE_UNDERLINE, '''i''', '''n''', SPIECE_UNDERLINE, '''<unk>''', ''',''', SPIECE_UNDERLINE, '''a''', '''n''', '''d''', SPIECE_UNDERLINE, '''t''', '''h''', '''i''', '''s''', SPIECE_UNDERLINE, '''i''', '''s''', SPIECE_UNDERLINE, '''f''', '''a''', '''l''', '''s''', '''é''', '''.''']							)




		@slow
		def    lowerCAmelCase__    (		self							):

							'''simple docstring'''


							UpperCamelCase__       :Optional[int]							 =			[
							    '''Transformers (formerly known as pytorch-transformers and pytorch-pretrained-bert) provides '''
							    '''general-purpose architectures (BERT, GPT, RoBERTa, XLM, DistilBert, XLNet...) for Natural '''
							    '''Language Understanding (NLU) and Natural Language Generation (NLG) with over thirty-two pretrained '''
							    '''models in one hundred plus languages and deep interoperability between Jax, PyTorch and TensorFlow.''',
							    '''BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly '''
							    '''conditioning on both left and right context in all layers.''',
							    '''The quick brown fox jumps over the lazy dog.''',
							]

							# fmt: off
							UpperCamelCase__       :Union[str, Any]							 =			{
							    '''input_ids''': [
							        [4, 32, 13, 7, 9, 12, 19, 8, 13, 18, 5, 13, 12, 4, 64, 19, 8, 13, 18, 5, 13, 15, 22, 4, 28, 9, 8, 20, 9, 4, 7, 12, 4, 24, 22, 6, 8, 13, 17, 11, 39, 6, 13, 7, 9, 12, 19, 8, 13, 18, 5, 13, 12, 4, 7, 9, 14, 4, 24, 22, 6, 8, 13, 17, 11, 39, 24, 13, 5, 6, 13, 7, 10, 9, 5, 14, 39, 25, 5, 13, 6, 63, 4, 24, 13, 8, 27, 10, 14, 5, 12, 4, 21, 5, 9, 5, 13, 7, 15, 39, 24, 16, 13, 24, 8, 12, 5, 4, 7, 13, 17, 11, 10, 6, 5, 17, 6, 16, 13, 5, 12, 4, 64, 40, 47, 54, 32, 23, 4, 53, 49, 32, 23, 4, 54, 8, 40, 47, 54, 32, 7, 23, 4, 69, 52, 43, 23, 4, 51, 10, 12, 6, 10, 15, 40, 5, 13, 6, 23, 4, 69, 52, 48, 5, 6, 26, 26, 26, 63, 4, 19, 8, 13, 4, 48, 7, 6, 16, 13, 7, 15, 4, 52, 7, 9, 21, 16, 7, 21, 5, 4, 61, 9, 14, 5, 13, 12, 6, 7, 9, 14, 10, 9, 21, 4, 64, 48, 52, 61, 63, 4, 7, 9, 14, 4, 48, 7, 6, 16, 13, 7, 15, 4, 52, 7, 9, 21, 16, 7, 21, 5, 4, 53, 5, 9, 5, 13, 7, 6, 10, 8, 9, 4, 64, 48, 52, 53, 63, 4, 20, 10, 6, 11, 4, 8, 27, 5, 13, 4, 6, 11, 10, 13, 6, 22, 39, 6, 20, 8, 4, 24, 13, 5, 6, 13, 7, 10, 9, 5, 14, 4, 18, 8, 14, 5, 15, 12, 4, 10, 9, 4, 8, 9, 5, 4, 11, 16, 9, 14, 13, 5, 14, 4, 24, 15, 16, 12, 4, 15, 7, 9, 21, 16, 7, 21, 5, 12, 4, 7, 9, 14, 4, 14, 5, 5, 24, 4, 10, 9, 6, 5, 13, 8, 24, 5, 13, 7, 25, 10, 15, 10, 6, 22, 4, 25, 5, 6, 20, 5, 5, 9, 4, 58, 7, 37, 23, 4, 49, 22, 32, 8, 13, 17, 11, 4, 7, 9, 14, 4, 32, 5, 9, 12, 8, 13, 55, 15, 8, 20, 26, 2],
							        [4, 40, 47, 54, 32, 4, 10, 12, 4, 14, 5, 12, 10, 21, 9, 5, 14, 4, 6, 8, 4, 24, 13, 5, 39, 6, 13, 7, 10, 9, 4, 14, 5, 5, 24, 4, 25, 10, 14, 10, 13, 5, 17, 6, 10, 8, 9, 7, 15, 4, 13, 5, 24, 13, 5, 12, 5, 9, 6, 7, 6, 10, 8, 9, 12, 4, 19, 13, 8, 18, 4, 16, 9, 15, 7, 25, 5, 15, 5, 14, 4, 6, 5, 37, 6, 4, 25, 22, 4, 46, 8, 10, 9, 6, 15, 22, 4, 17, 8, 9, 14, 10, 6, 10, 8, 9, 10, 9, 21, 4, 8, 9, 4, 25, 8, 6, 11, 4, 15, 5, 19, 6, 4, 7, 9, 14, 4, 13, 10, 21, 11, 6, 4, 17, 8, 9, 6, 5, 37, 6, 4, 10, 9, 4, 7, 15, 15, 4, 15, 7, 22, 5, 13, 12, 26, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
							        [4, 32, 11, 5, 4, 45, 16, 10, 17, 28, 4, 25, 13, 8, 20, 9, 4, 19, 8, 37, 4, 46, 16, 18, 24, 12, 4, 8, 27, 5, 13, 4, 6, 11, 5, 4, 15, 7, 57, 22, 4, 14, 8, 21, 26, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
							    ],
							    '''attention_mask''': [
							        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
							        [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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							    ]
							}
							# fmt: on

							self.tokenizer_integration_test_util(
							    expected_encoding=UpperCamelCase_   ,       model_name='''microsoft/speecht5_asr'''   ,       revision='''c5ef64c71905caeccde0e4462ef3f9077224c524'''   ,       sequences=UpperCamelCase_   ,       )



'''simple docstring'''
# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__snake_case											=					abspath(join(dirname(dirname(__file__)), '''src'''))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)


def       a				(      __a       )  ->     Optional[int]:



					'''simple docstring'''






					from diffusers.utils.testing_utils import pytest_addoption_shared

					pytest_addoption_shared(__a       )







def       a				(      __a       )  ->     str:



					'''simple docstring'''






					from diffusers.utils.testing_utils import pytest_terminal_summary_main

					UpperCamelCase__       :Union[str, Any]							 =			terminalreporter.config.getoption('''--make-reports'''       )
					if make_reports:
										pytest_terminal_summary_main(__a			, id=__a       )