






'''simple docstring'''
from __future__ import annotations

import math
import random
from collections.abc import Collection
from typing import overload






class      __SCREAMING_SNAKE_CASE      :




 def __init__(      self	:							Optional[int]					,      __lowercase	:							Collection[float] | None = None      )	->						None:







       if components is None:
             SCREAMING_SNAKE_CASE__     :				Tuple									=[]
       SCREAMING_SNAKE_CASE__     :				List[Any]									=list(__lowercase      )




 def __len__(      self	:							int      )	->						int:
       return len(self.__components      )




 def __str__(      self	:							Dict      )	->						str:
       return "(" + ",".join(map(__lowercase					,      self.__components      )      ) + ")"




 def __add__(      self	:							str					,      __lowercase	:							Vector      )	->						Vector:
       SCREAMING_SNAKE_CASE__     :				Tuple									=len(self      )
       if size == len(__lowercase      ):
             SCREAMING_SNAKE_CASE__     :				int									=[self.__components[i] + other.component(__lowercase      ) for i in range(__lowercase      )]
             return Vector(__lowercase      )
       else:
             raise Exception('''must have the same size'''      )




 def __sub__(      self	:							List[Any]					,      __lowercase	:							Vector      )	->						Vector:
       SCREAMING_SNAKE_CASE__     :				Dict									=len(self      )
       if size == len(__lowercase      ):
             SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=[self.__components[i] - other.component(__lowercase      ) for i in range(__lowercase      )]
             return Vector(__lowercase      )
       else:  # error case
             raise Exception('''must have the same size'''      )




 @overload
 def __mul__(      self	:							List[str]					,      __lowercase	:							float      )	->						Vector:
       ...




 @overload
 def __mul__(      self	:							Any					,      __lowercase	:							Vector      )	->						float:
       ...




 def __mul__(      self	:							Optional[Any]					,      __lowercase	:							float | Vector      )	->						float | Vector:







       if isinstance(__lowercase					,      (float, int)      ):
             SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=[c * other for c in self.__components]
             return Vector(__lowercase      )
       elif isinstance(__lowercase					,      __lowercase      ) and len(self      ) == len(__lowercase      ):
             SCREAMING_SNAKE_CASE__     :				int									=len(self      )
             SCREAMING_SNAKE_CASE__     :				int									=[self.__components[i] * other.component(__lowercase      ) for i in range(__lowercase      )]
             return sum(__lowercase      )
       else:  # error case
             raise Exception('''invalid operand!'''      )




 def      __magic_name__	(      self	:							Optional[int]      )	->						Vector:
       return Vector(self.__components      )




 def      __magic_name__	(      self	:							Union[str, Any]					,      __lowercase	:							int      )	->						float:







       if isinstance(__lowercase					,      __lowercase      ) and -len(self.__components      ) <= i < len(self.__components      ):
             return self.__components[i]
       else:
             raise Exception('''index out of range'''      )




 def      __magic_name__	(      self	:							Tuple					,      __lowercase	:							int					,      __lowercase	:							float      )	->						None:
       assert -len(self.__components      ) <= pos < len(self.__components      )
       SCREAMING_SNAKE_CASE__     :				List[Any]									=value




 def      __magic_name__	(      self	:							Optional[int]      )	->						float:







       if len(self.__components      ) == 0:
             raise Exception('''Vector is empty'''      )
       SCREAMING_SNAKE_CASE__     :				str									=[c**2 for c in self.__components]
       return math.sqrt(sum(__lowercase      )      )




 def      __magic_name__	(      self	:							str					,      __lowercase	:							Vector					,      __lowercase	:							bool = False      )	->						float:
       SCREAMING_SNAKE_CASE__     :				str									=self * other
       SCREAMING_SNAKE_CASE__     :				str									=self.euclidean_length() * other.euclidean_length()
       if deg:
             return math.degrees(math.acos(num / den      )      )
       else:
             return math.acos(num / den      )





def  _a(  UpperCamelCase__				:						str							):




      '''simple docstring'''






      assert isinstance(_SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE							)
      return Vector([0] * dimension							)





def  _a(  UpperCamelCase__				:						Optional[int],	UpperCamelCase__				:						List[str]							):




      '''simple docstring'''






      assert isinstance(_SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE							) and (isinstance(_SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE							))
      SCREAMING_SNAKE_CASE__     :				Optional[Any]									=[0] * dimension
      SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=1
      return Vector(_SCREAMING_SNAKE_CASE							)





def  _a(  UpperCamelCase__				:						Union[str, Any],	UpperCamelCase__				:						Union[str, Any],	UpperCamelCase__				:						Tuple							):




      '''simple docstring'''






      assert (
          isinstance(_SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE							)
          and isinstance(_SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE							)
          and (isinstance(_SCREAMING_SNAKE_CASE,	(int, float)							))
      )
      return x * scalar + y





def  _a(  UpperCamelCase__				:						Tuple,	UpperCamelCase__				:						Union[str, Any],	UpperCamelCase__				:						str							):




      '''simple docstring'''






      random.seed(_SCREAMING_SNAKE_CASE							)
      SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=[random.randint(_SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE							) for _ in range(_SCREAMING_SNAKE_CASE							)]
      return Vector(_SCREAMING_SNAKE_CASE							)






class      __SCREAMING_SNAKE_CASE      :




 def __init__(      self	:							str					,      __lowercase	:							list[list[float]]					,      __lowercase	:							int					,      __lowercase	:							int      )	->						None:
       SCREAMING_SNAKE_CASE__     :				int									=matrix
       SCREAMING_SNAKE_CASE__     :				Any									=w
       SCREAMING_SNAKE_CASE__     :				Any									=h




 def __str__(      self	:							List[Any]      )	->						str:
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=''''''
       for i in range(self.__height      ):
             ans += "|"
             for j in range(self.__width      ):
                   if j < self.__width - 1:
                         ans += str(self.__matrix[i][j]      ) + ","
                   else:
                         ans += str(self.__matrix[i][j]      ) + "|\n"
       return ans




 def __add__(      self	:							int					,      __lowercase	:							Matrix      )	->						Matrix:







       if self.__width == other.width() and self.__height == other.height():
             SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=[]
             for i in range(self.__height      ):
                   SCREAMING_SNAKE_CASE__     :				Optional[Any]									=[
                       self.__matrix[i][j] + other.component(__lowercase					,      __lowercase      )
                       for j in range(self.__width      )
                   ]
                   matrix.append(__lowercase      )
             return Matrix(__lowercase					,      self.__width					,      self.__height      )
       else:
             raise Exception('''matrix must have the same dimension!'''      )




 def __sub__(      self	:							Optional[Any]					,      __lowercase	:							Matrix      )	->						Matrix:







       if self.__width == other.width() and self.__height == other.height():
             SCREAMING_SNAKE_CASE__     :				int									=[]
             for i in range(self.__height      ):
                   SCREAMING_SNAKE_CASE__     :				Optional[int]									=[
                       self.__matrix[i][j] - other.component(__lowercase					,      __lowercase      )
                       for j in range(self.__width      )
                   ]
                   matrix.append(__lowercase      )
             return Matrix(__lowercase					,      self.__width					,      self.__height      )
       else:
             raise Exception('''matrices must have the same dimension!'''      )




 @overload
 def __mul__(      self	:							Dict					,      __lowercase	:							float      )	->						Matrix:
       ...




 @overload
 def __mul__(      self	:							str					,      __lowercase	:							Vector      )	->						Vector:
       ...




 def __mul__(      self	:							int					,      __lowercase	:							float | Vector      )	->						Vector | Matrix:







       if isinstance(__lowercase					,      __lowercase      ):  # matrix-vector
             if len(__lowercase      ) == self.__width:
                   SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=zero_vector(self.__height      )
                   for i in range(self.__height      ):
                         SCREAMING_SNAKE_CASE__     :				List[str]									=[
                             self.__matrix[i][j] * other.component(__lowercase      )
                             for j in range(self.__width      )
                         ]
                         ans.change_component(__lowercase					,      sum(__lowercase      )      )
                   return ans
             else:
                   raise Exception(
                       '''vector must have the same size as the '''
                       '''number of columns of the matrix!'''      )
       elif isinstance(__lowercase					,      (int, float)      ):  # matrix-scalar
             SCREAMING_SNAKE_CASE__     :				List[str]									=[
                 [self.__matrix[i][j] * other for j in range(self.__width      )]
                 for i in range(self.__height      )
             ]
             return Matrix(__lowercase					,      self.__width					,      self.__height      )
       return None




 def      __magic_name__	(      self	:							Tuple      )	->						int:
       return self.__height




 def      __magic_name__	(      self	:							int      )	->						int:
       return self.__width




 def      __magic_name__	(      self	:							str					,      __lowercase	:							int					,      __lowercase	:							int      )	->						float:







       if 0 <= x < self.__height and 0 <= y < self.__width:
             return self.__matrix[x][y]
       else:
             raise Exception('''change_component: indices out of bounds'''      )




 def      __magic_name__	(      self	:							List[str]					,      __lowercase	:							int					,      __lowercase	:							int					,      __lowercase	:							float      )	->						None:







       if 0 <= x < self.__height and 0 <= y < self.__width:
             SCREAMING_SNAKE_CASE__     :				Tuple									=value
       else:
             raise Exception('''change_component: indices out of bounds'''      )




 def      __magic_name__	(      self	:							Any					,      __lowercase	:							int					,      __lowercase	:							int      )	->						float:







       if self.__height != self.__width:
             raise Exception('''Matrix is not square'''      )
       SCREAMING_SNAKE_CASE__     :				List[Any]									=self.__matrix[:x] + self.__matrix[x + 1 :]
       for i in range(len(__lowercase      )      ):
             SCREAMING_SNAKE_CASE__     :				Optional[Any]									=minor[i][:y] + minor[i][y + 1 :]
       return Matrix(__lowercase					,      self.__width - 1					,      self.__height - 1      ).determinant()




 def      __magic_name__	(      self	:							Dict					,      __lowercase	:							int					,      __lowercase	:							int      )	->						float:







       if self.__height != self.__width:
             raise Exception('''Matrix is not square'''      )
       if 0 <= x < self.__height and 0 <= y < self.__width:
             return (-1) ** (x + y) * self.minor(__lowercase					,      __lowercase      )
       else:
             raise Exception('''Indices out of bounds'''      )




 def      __magic_name__	(      self	:							List[Any]      )	->						float:







       if self.__height != self.__width:
             raise Exception('''Matrix is not square'''      )
       if self.__height < 1:
             raise Exception('''Matrix has no element'''      )
       elif self.__height == 1:
             return self.__matrix[0][0]
       elif self.__height == 2:
             return (
                 self.__matrix[0][0] * self.__matrix[1][1]
                 - self.__matrix[0][1] * self.__matrix[1][0]
             )
       else:
             SCREAMING_SNAKE_CASE__     :				List[str]									=[
                 self.__matrix[0][y] * self.cofactor(0					,      __lowercase      ) for y in range(self.__width      )
             ]
             return sum(__lowercase      )





def  _a(  UpperCamelCase__				:						str							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__     :				Optional[Any]									=[[0] * n for _ in range(_SCREAMING_SNAKE_CASE							)]
      return Matrix(_SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE							)







def  _a(  UpperCamelCase__				:						str,	UpperCamelCase__				:						List[Any],	UpperCamelCase__				:						Union[str, Any],	UpperCamelCase__				:						Tuple							):




      '''simple docstring'''






      random.seed(_SCREAMING_SNAKE_CASE							)
      SCREAMING_SNAKE_CASE__     :				Optional[int]									=[
          [random.randint(_SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE							) for _ in range(_SCREAMING_SNAKE_CASE							)] for _ in range(_SCREAMING_SNAKE_CASE							)
      ]
      return Matrix(_SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE							)







'''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


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






@require_sentencepiece
@require_tokenizers
class      __SCREAMING_SNAKE_CASE      (			lowerCamelCase	,				unittest.TestCase				):
 snake_case_  							=							SpeechTaTokenizer
 snake_case_  							=							False
 snake_case_  							=							True




 def      __magic_name__	(      self	:							int      )	->						Any:
       super().setUp()

       # We have a SentencePiece fixture for testing
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=SpeechTaTokenizer(__lowercase      )

       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=AddedToken('''<mask>'''					,      lstrip=__lowercase					,      rstrip=__lowercase      )
       SCREAMING_SNAKE_CASE__     :				List[Any]									=mask_token
       tokenizer.add_special_tokens({'''mask_token''': mask_token}      )
       tokenizer.add_tokens(['''<ctc_blank>''']      )

       tokenizer.save_pretrained(self.tmpdirname      )




 def      __magic_name__	(      self	:							Dict					,      __lowercase	:							int      )	->						Optional[int]:
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									='''this is a test'''
       SCREAMING_SNAKE_CASE__     :				int									='''this is a test'''
       return input_text, output_text




 def      __magic_name__	(      self	:							List[Any]					,      __lowercase	:							int					,      __lowercase	:							Optional[Any]=False					,      __lowercase	:							Union[str, Any]=20					,      __lowercase	:							Any=5      )	->						Any:
       SCREAMING_SNAKE_CASE__		,	SCREAMING_SNAKE_CASE__     :				int									=self.get_input_output_texts(__lowercase      )
       SCREAMING_SNAKE_CASE__     :				str									=tokenizer.encode(__lowercase					,      add_special_tokens=__lowercase      )
       SCREAMING_SNAKE_CASE__     :				str									=tokenizer.decode(__lowercase					,      clean_up_tokenization_spaces=__lowercase      )
       return text, ids




 def      __magic_name__	(      self	:							Dict      )	->						str:
       SCREAMING_SNAKE_CASE__     :				Optional[int]									='''<pad>'''
       SCREAMING_SNAKE_CASE__     :				Optional[int]									=1

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




 def      __magic_name__	(      self	:							Tuple      )	->						List[str]:
       SCREAMING_SNAKE_CASE__     :				Optional[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(__lowercase      )					,      81      )




 def      __magic_name__	(      self	:							Dict      )	->						List[str]:
       self.assertEqual(self.get_tokenizer().vocab_size					,      79      )




 def      __magic_name__	(      self	:							Optional[Any]      )	->						str:
       SCREAMING_SNAKE_CASE__     :				str									=self.get_tokenizers(do_lower_case=__lowercase      )
       for tokenizer in tokenizers:
             with self.subTest(F"{tokenizer.__class__.__name__}"      ):
                   SCREAMING_SNAKE_CASE__     :				Tuple									=tokenizer.vocab_size
                   SCREAMING_SNAKE_CASE__     :				Any									=len(__lowercase      )

                   self.assertNotEqual(__lowercase					,      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__     :				int									=['''aaaaa bbbbbb''', '''cccccccccdddddddd''']
                   SCREAMING_SNAKE_CASE__     :				List[str]									=tokenizer.add_tokens(__lowercase      )
                   SCREAMING_SNAKE_CASE__     :				List[str]									=tokenizer.vocab_size
                   SCREAMING_SNAKE_CASE__     :				Optional[int]									=len(__lowercase      )

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

                   SCREAMING_SNAKE_CASE__     :				Tuple									=tokenizer.encode('''aaaaa bbbbbb low cccccccccdddddddd l'''					,      add_special_tokens=__lowercase      )

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

                   SCREAMING_SNAKE_CASE__     :				str									={'''eos_token''': '''>>>>|||<||<<|<<''', '''pad_token''': '''<<<<<|||>|>>>>|>'''}
                   SCREAMING_SNAKE_CASE__     :				int									=tokenizer.add_special_tokens(__lowercase      )
                   SCREAMING_SNAKE_CASE__     :				List[str]									=tokenizer.vocab_size
                   SCREAMING_SNAKE_CASE__     :				int									=len(__lowercase      )

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

                   SCREAMING_SNAKE_CASE__     :				List[Any]									=tokenizer.encode(
                       '''>>>>|||<||<<|<< aaaaabbbbbb low cccccccccdddddddd <<<<<|||>|>>>>|> l'''					,      add_special_tokens=__lowercase      )

                   self.assertGreaterEqual(len(__lowercase      )					,      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      __magic_name__	(      self	:							Optional[Any]      )	->						Any:
       pass




 def      __magic_name__	(      self	:							List[str]      )	->						List[Any]:
       pass




 def      __magic_name__	(      self	:							Dict      )	->						List[Any]:
       SCREAMING_SNAKE_CASE__     :				Dict									=self.get_tokenizer()

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

       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=tokenizer.tokenize('''I was born in 92000, and this is falsé.'''      )
       self.assertListEqual(
           __lowercase					,      [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__     :				Union[str, Any]									=tokenizer.convert_tokens_to_ids(__lowercase      )
       # fmt: off
       self.assertListEqual(__lowercase					,      [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__     :				Optional[Any]									=tokenizer.convert_ids_to_tokens(__lowercase      )
       self.assertListEqual(
           __lowercase					,      [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      __magic_name__	(      self	:							List[str]      )	->						List[str]:
       # Use custom sequence because this tokenizer does not handle numbers.
       SCREAMING_SNAKE_CASE__     :				List[Any]									=[
           '''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__     :				str									={
           '''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],
               [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
           ]
       }
       # fmt: on

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