
"""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


lowerCAmelCase__				=					get_tests_dir('fixtures/test_sentencepiece_bpe_char.model')





@require_sentencepiece
@require_tokenizers
class 			snake_case  (				_a							,      unittest.TestCase ):
							UpperCAmelCase__      =   SpeechTaTokenizer
							UpperCAmelCase__      =   False
							UpperCAmelCase__      =   True

							def _lowercase       (self     ):

									"""simple docstring"""







									super().setUp()

									# We have a SentencePiece fixture for testing
									SCREAMING_SNAKE_CASE_    			=			SpeechTaTokenizer(SCREAMING_SNAKE_CASE_     )

									SCREAMING_SNAKE_CASE_    			=			AddedToken('''<mask>'''							,							lstrip=SCREAMING_SNAKE_CASE_							,							rstrip=SCREAMING_SNAKE_CASE_     )
									SCREAMING_SNAKE_CASE_    			=			mask_token
									tokenizer.add_special_tokens({'''mask_token''': mask_token}     )
									tokenizer.add_tokens(['''<ctc_blank>''']     )

									tokenizer.save_pretrained(self.tmpdirname     )

							def _lowercase       (self							,							SCREAMING_SNAKE_CASE_     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			'''this is a test'''
									SCREAMING_SNAKE_CASE_    			=			'''this is a test'''
									return input_text, output_text

							def _lowercase       (self							,							SCREAMING_SNAKE_CASE_							,							SCREAMING_SNAKE_CASE_=False							,							SCREAMING_SNAKE_CASE_=20							,							SCREAMING_SNAKE_CASE_=5     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_			,SCREAMING_SNAKE_CASE_    			=			self.get_input_output_texts(SCREAMING_SNAKE_CASE_     )
									SCREAMING_SNAKE_CASE_    			=			tokenizer.encode(SCREAMING_SNAKE_CASE_							,							add_special_tokens=SCREAMING_SNAKE_CASE_     )
									SCREAMING_SNAKE_CASE_    			=			tokenizer.decode(SCREAMING_SNAKE_CASE_							,							clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE_     )
									return text, ids

							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			'''<pad>'''
									SCREAMING_SNAKE_CASE_    			=			1

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

							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			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(SCREAMING_SNAKE_CASE_     )							,							81     )

							def _lowercase       (self     ):

									"""simple docstring"""







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

							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			self.get_tokenizers(do_lower_case=SCREAMING_SNAKE_CASE_     )
									for tokenizer in tokenizers:
											with self.subTest(f'{tokenizer.__class__.__name__}'     ):
													SCREAMING_SNAKE_CASE_    			=			tokenizer.vocab_size
													SCREAMING_SNAKE_CASE_    			=			len(SCREAMING_SNAKE_CASE_     )

													self.assertNotEqual(SCREAMING_SNAKE_CASE_							,							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)

													SCREAMING_SNAKE_CASE_    			=			['''aaaaa bbbbbb''', '''cccccccccdddddddd''']
													SCREAMING_SNAKE_CASE_    			=			tokenizer.add_tokens(SCREAMING_SNAKE_CASE_     )
													SCREAMING_SNAKE_CASE_    			=			tokenizer.vocab_size
													SCREAMING_SNAKE_CASE_    			=			len(SCREAMING_SNAKE_CASE_     )

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

													SCREAMING_SNAKE_CASE_    			=			tokenizer.encode('''aaaaa bbbbbb low cccccccccdddddddd l'''							,							add_special_tokens=SCREAMING_SNAKE_CASE_     )

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

													SCREAMING_SNAKE_CASE_    			=			{'''eos_token''': '''>>>>|||<||<<|<<''', '''pad_token''': '''<<<<<|||>|>>>>|>'''}
													SCREAMING_SNAKE_CASE_    			=			tokenizer.add_special_tokens(SCREAMING_SNAKE_CASE_     )
													SCREAMING_SNAKE_CASE_    			=			tokenizer.vocab_size
													SCREAMING_SNAKE_CASE_    			=			len(SCREAMING_SNAKE_CASE_     )

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

													SCREAMING_SNAKE_CASE_    			=			tokenizer.encode(
													    '''>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l'''							,							add_special_tokens=SCREAMING_SNAKE_CASE_     )

													self.assertGreaterEqual(len(SCREAMING_SNAKE_CASE_     )							,							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 _lowercase       (self     ):

									"""simple docstring"""







									pass

							def _lowercase       (self     ):

									"""simple docstring"""







									pass

							def _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			self.get_tokenizer()

									SCREAMING_SNAKE_CASE_    			=			tokenizer.tokenize('''This is a test'''     )
									# fmt: off
									self.assertListEqual(SCREAMING_SNAKE_CASE_							,							[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(SCREAMING_SNAKE_CASE_     )							,							[4, 32, 11, 10, 12, 4, 10, 12, 4, 7, 4, 6, 5, 12, 6]							,							)

									SCREAMING_SNAKE_CASE_    			=			tokenizer.tokenize('''I was born in 92000, and this is falsé.'''     )
									self.assertListEqual(
									    SCREAMING_SNAKE_CASE_							,							[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''', '''.''']     )

									SCREAMING_SNAKE_CASE_    			=			tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_     )
									# fmt: off
									self.assertListEqual(SCREAMING_SNAKE_CASE_							,							[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

									SCREAMING_SNAKE_CASE_    			=			tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_     )
									self.assertListEqual(
									    SCREAMING_SNAKE_CASE_							,							[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 _lowercase       (self     ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_    			=			[
									    '''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
									SCREAMING_SNAKE_CASE_    			=			{
									    '''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=SCREAMING_SNAKE_CASE_							,							model_name='''microsoft/speecht5_asr'''							,							revision='''c5ef64c71905caeccde0e4462ef3f9077224c524'''							,							sequences=SCREAMING_SNAKE_CASE_							,							)



import requests
from bsa import BeautifulSoup





def 						_lowerCAmelCase							(     _lowerCAmelCase = "AAPL"			)    ->						str:


						'''simple docstring'''






						__snake_case				=		F'''https://in.finance.yahoo.com/quote/{symbol}?s={symbol}'''
						__snake_case				=		BeautifulSoup(requests.get(_lowerCAmelCase			).text   ,						"html.parser"			)
						__snake_case				=		"My(6px) Pos(r) smartphone_Mt(6px)"
						return soup.find("div"   ,						class_=class_			).find("span"			).text


if __name__ == "__main__":
	for symbol in "AAPL AMZN IBM GOOG MSFT ORCL".split():
		print(f'''Current {symbol:<4} stock price is {stock_price(symbol):>8}''')





