


'''simple docstring'''






import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__UpperCAmelCase       							=				logging.get_logger(__name__)


__UpperCAmelCase       							=				{
    '''vocab_file''': '''vocab.json''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
    '''merges_file''': '''merges.txt''',
}

__UpperCAmelCase       							=				{
    '''vocab_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'''
        ),
    },
    '''tokenizer_config_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'''
        ),
    },
    '''merges_file''': {
        '''facebook/s2t-wav2vec2-large-en-de''': (
            '''https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'''
        ),
    },
}

__UpperCAmelCase       							=				'''</w>'''
__UpperCAmelCase       							=				'''@@ '''


def    _snake_case  (	A			)		->       Dict:
							lowerCAmelCase__			  =      set()
							lowerCAmelCase__			  =      word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)			)
														lowerCAmelCase__			  =      char
							return pairs


# Speech2Text2 has no max input length
__UpperCAmelCase       							=				{'''facebook/s2t-wav2vec2-large-en-de''': 1_024}






class 						a__							(				a__    ):





							'''simple docstring'''






							lowercase__     :  List[Any]      		= VOCAB_FILES_NAMES
							lowercase__     :  List[str]      		= PRETRAINED_VOCAB_FILES_MAP
							lowercase__     :  int      		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__     :  str      		= ["input_ids", "attention_mask"]







							def __init__(						self   ,       lowerCamelCase_   ,       lowerCamelCase_="<s>"   ,       lowerCamelCase_="<pad>"   ,       lowerCamelCase_="</s>"   ,       lowerCamelCase_="<unk>"   ,       lowerCamelCase_=False   ,       lowerCamelCase_=None   ,       **lowerCamelCase_   ,       )			->				int:
														super().__init__(
														    unk_token=lowerCamelCase_   ,       bos_token=lowerCamelCase_   ,       eos_token=lowerCamelCase_   ,       pad_token=lowerCamelCase_   ,       do_lower_case=lowerCamelCase_   ,       **lowerCamelCase_   ,       )

														lowerCAmelCase__			  =      do_lower_case

														with open(lowerCamelCase_   ,       encoding='''utf-8'''  ) as vocab_handle:
																					lowerCAmelCase__			  =      json.load(lowerCamelCase_  )
														lowerCAmelCase__			  =      {v: k for k, v in self.encoder.items()}

														if merges_file is None:
																					logger.info(F"""No merges files provided. {self.__class__.__name__} can only be used for decoding."""  )

																					lowerCAmelCase__			  =      None
																					lowerCAmelCase__			  =      None
														else:
																					with open(lowerCamelCase_   ,       encoding='''utf-8'''  ) as merges_handle:
																												lowerCAmelCase__			  =      merges_handle.read().split('''\n'''  )[:-1]

																					lowerCAmelCase__			  =      [tuple(merge.split()[:2]  ) for merge in merges]
																					lowerCAmelCase__			  =      dict(zip(lowerCamelCase_   ,       range(len(lowerCamelCase_  )  )  )  )
																					lowerCAmelCase__			  =      {}







							@property
							def     __SCREAMING_SNAKE_CASE				(						self  )			->				int:
														return len(self.decoder  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				Dict:
														return dict(self.encoder   ,       **self.added_tokens_encoder  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				Tuple:
														lowerCAmelCase__			  =      tuple(token[:-1]  ) + (token[-1] + BPE_TOKEN_MERGES,)
														if token in self.cache:
																					return self.cache[token]
														lowerCAmelCase__			  =      get_pairs(lowerCamelCase_  )

														if not pairs:
																					return token

														while True:
																					lowerCAmelCase__			  =      min(lowerCamelCase_   ,       key=lambda lowerCamelCase_  : self.bpe_ranks.get(lowerCamelCase_   ,       float('''inf'''  )  )  )
																					if bigram not in self.bpe_ranks:
																												break
																					lowerCAmelCase__  ,   lowerCAmelCase__			  =      bigram
																					lowerCAmelCase__			  =      []
																					lowerCAmelCase__			  =      0
																					while i < len(lowerCamelCase_  ):
																												try:
																																			lowerCAmelCase__			  =      word.index(lowerCamelCase_   ,       lowerCamelCase_  )
																												except ValueError:
																																			new_word.extend(word[i:]  )
																																			break
																												else:
																																			new_word.extend(word[i:j]  )
																																			lowerCAmelCase__			  =      j

																												if word[i] == first and i < len(lowerCamelCase_  ) - 1 and word[i + 1] == second:
																																			new_word.append(first + second  )
																																			i += 2
																												else:
																																			new_word.append(word[i]  )
																																			i += 1
																					lowerCAmelCase__			  =      tuple(lowerCamelCase_  )
																					lowerCAmelCase__			  =      new_word
																					if len(lowerCamelCase_  ) == 1:
																												break
																					else:
																												lowerCAmelCase__			  =      get_pairs(lowerCamelCase_  )
														lowerCAmelCase__			  =      ''' '''.join(lowerCamelCase_  )
														if word == "\n  " + BPE_TOKEN_MERGES:
																					lowerCAmelCase__			  =      '''\n''' + BPE_TOKEN_MERGES

														if word.endswith(lowerCamelCase_  ):
																					lowerCAmelCase__			  =      word.replace(lowerCamelCase_   ,       ''''''  )

														lowerCAmelCase__			  =      word.replace(''' '''   ,       lowerCamelCase_  )
														lowerCAmelCase__			  =      word
														return word







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				str:

														if self.bpe_ranks is None:
																					raise ValueError(
																					    '''This tokenizer was instantiated without a `merges.txt` file, so'''
																					    ''' that it can only be used for decoding, not for encoding.'''
																					    '''Make sure to provide `merges.txt` file at instantiation to enable '''
																					    '''encoding.'''  )

														if self.do_lower_case:
																					lowerCAmelCase__			  =      text.lower()

														lowerCAmelCase__			  =      text.split()

														lowerCAmelCase__			  =      []
														for token in text:
																					if token:
																												split_tokens.extend(list(self.bpe(lowerCamelCase_  ).split(''' '''  )  )  )

														return split_tokens







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				int:
														return self.encoder.get(lowerCamelCase_   ,       self.encoder.get(self.unk_token  )  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				str:
														lowerCAmelCase__			  =      self.decoder.get(lowerCamelCase_   ,       self.unk_token  )
														return result







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				str:
														lowerCAmelCase__			  =      ''' '''.join(lowerCamelCase_  )

														# make sure @@ tokens are concatenated
														lowerCAmelCase__			  =      ''''''.join(string.split(lowerCamelCase_  )  )

														return string







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_   ,       lowerCamelCase_ = None  )			->				Tuple[str]:
														if not os.path.isdir(lowerCamelCase_  ):
																					logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""  )
																					return
														lowerCAmelCase__			  =      os.path.join(
														    lowerCamelCase_   ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']  )
														lowerCAmelCase__			  =      os.path.join(
														    lowerCamelCase_   ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']  )

														with open(lowerCamelCase_   ,       '''w'''   ,       encoding='''utf-8'''  ) as f:
																					f.write(json.dumps(self.encoder   ,       indent=2   ,       sort_keys=lowerCamelCase_   ,       ensure_ascii=lowerCamelCase_  ) + '''\n'''  )

														lowerCAmelCase__			  =      0
														if self.bpe_ranks is None:
																					return (vocab_file,)

														with open(lowerCamelCase_   ,       '''w'''   ,       encoding='''utf-8'''  ) as writer:
																					for bpe_tokens, token_index in sorted(self.bpe_ranks.items()   ,       key=lambda lowerCamelCase_  : kv[1]  ):
																												if index != token_index:
																																			logger.warning(
																																			    F"""Saving vocabulary to {merges_file}: BPE merge indices are not consecutive."""
																																			    ''' Please check that the tokenizer is not corrupted!'''  )
																																			lowerCAmelCase__			  =      token_index
																												writer.write(''' '''.join(lowerCamelCase_  ) + '''\n'''  )
																												index += 1

														return (vocab_file, merges_file)







from __future__ import annotations

import math
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			list:
      """simple docstring"""

      if len(_UpperCamelCase) != 2 or len(a[0]) != 2 or len(_UpperCamelCase) != 2 or len(b[0]) != 2:
            raise Exception('Matrices are not 2x2')
      UpperCamelCase					       =  [
          [a[0][0] * b[0][0] + a[0][1] * b[1][0], a[0][0] * b[0][1] + a[0][1] * b[1][1]],
          [a[1][0] * b[0][0] + a[1][1] * b[1][0], a[1][0] * b[0][1] + a[1][1] * b[1][1]],
      ]
      return new_matrix
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			Union[str, Any]:
      """simple docstring"""

      return [
          [matrix_a[row][col] + matrix_b[row][col] for col in range(len(matrix_a[row]))]
          for row in range(len(_UpperCamelCase))
      ]
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			Optional[int]:
      """simple docstring"""

      return [
          [matrix_a[row][col] - matrix_b[row][col] for col in range(len(matrix_a[row]))]
          for row in range(len(_UpperCamelCase))
      ]
def 		lowercase__  (				_UpperCamelCase) ->			tuple[list, list, list, list]:
      """simple docstring"""

      if len(_UpperCamelCase) % 2 != 0 or len(a[0]) % 2 != 0:
            raise Exception('Odd matrices are not supported!')

      UpperCamelCase					       =  len(_UpperCamelCase)
      UpperCamelCase					       =  matrix_length // 2

      UpperCamelCase					       =  [[a[i][j] for j in range(_UpperCamelCase       ,							_UpperCamelCase)] for i in range(_UpperCamelCase)]
      UpperCamelCase					       =  [
          [a[i][j] for j in range(_UpperCamelCase       ,							_UpperCamelCase)] for i in range(_UpperCamelCase       ,							_UpperCamelCase)
      ]

      UpperCamelCase					       =  [[a[i][j] for j in range(_UpperCamelCase)] for i in range(_UpperCamelCase)]
      UpperCamelCase					       =  [[a[i][j] for j in range(_UpperCamelCase)] for i in range(_UpperCamelCase       ,							_UpperCamelCase)]

      return top_left, top_right, bot_left, bot_right
def 		lowercase__  (				_UpperCamelCase) ->			tuple[int, int]:
      """simple docstring"""

      return len(_UpperCamelCase), len(matrix[0])
def 		lowercase__  (				_UpperCamelCase) ->			None:
      """simple docstring"""

      print('\n'.join(str(_UpperCamelCase) for line in matrix))
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			list:
      """simple docstring"""

      if matrix_dimensions(_UpperCamelCase) == (2, 2):
            return default_matrix_multiplication(_UpperCamelCase       ,							_UpperCamelCase)

      UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase					       =  split_matrix(_UpperCamelCase)
      UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase       ,  UpperCamelCase					       =  split_matrix(_UpperCamelCase)

      UpperCamelCase					       =  actual_strassen(_UpperCamelCase       ,							matrix_subtraction(_UpperCamelCase       ,							_UpperCamelCase))
      UpperCamelCase					       =  actual_strassen(matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)       ,							_UpperCamelCase)
      UpperCamelCase					       =  actual_strassen(matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)       ,							_UpperCamelCase)
      UpperCamelCase					       =  actual_strassen(_UpperCamelCase       ,							matrix_subtraction(_UpperCamelCase       ,							_UpperCamelCase))
      UpperCamelCase					       =  actual_strassen(matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)       ,							matrix_addition(_UpperCamelCase       ,							_UpperCamelCase))
      UpperCamelCase					       =  actual_strassen(matrix_subtraction(_UpperCamelCase       ,							_UpperCamelCase)       ,							matrix_addition(_UpperCamelCase       ,							_UpperCamelCase))
      UpperCamelCase					       =  actual_strassen(matrix_subtraction(_UpperCamelCase       ,							_UpperCamelCase)       ,							matrix_addition(_UpperCamelCase       ,							_UpperCamelCase))

      UpperCamelCase					       =  matrix_addition(matrix_subtraction(matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)       ,							_UpperCamelCase)       ,							_UpperCamelCase)
      UpperCamelCase					       =  matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)
      UpperCamelCase					       =  matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)
      UpperCamelCase					       =  matrix_subtraction(matrix_subtraction(matrix_addition(_UpperCamelCase       ,							_UpperCamelCase)       ,							_UpperCamelCase)       ,							_UpperCamelCase)

      # construct the new matrix from our 4 quadrants
      UpperCamelCase					       =  []
      for i in range(len(_UpperCamelCase)):
            new_matrix.append(top_left[i] + top_right[i])
      for i in range(len(_UpperCamelCase)):
            new_matrix.append(bot_left[i] + bot_right[i])
      return new_matrix
def 		lowercase__  (				_UpperCamelCase       ,							_UpperCamelCase) ->			list:
      """simple docstring"""

      if matrix_dimensions(_UpperCamelCase)[1] != matrix_dimensions(_UpperCamelCase)[0]:
            UpperCamelCase					       =  (
                'Unable to multiply these matrices, please check the dimensions.\n'
                F'Matrix A: {matrixa}\n'
                F'Matrix B: {matrixa}'
            )
            raise Exception(_UpperCamelCase)
      UpperCamelCase					       =  matrix_dimensions(_UpperCamelCase)
      UpperCamelCase					       =  matrix_dimensions(_UpperCamelCase)

      if dimensiona[0] == dimensiona[1] and dimensiona[0] == dimensiona[1]:
            return [matrixa, matrixa]

      UpperCamelCase					       =  max(*_UpperCamelCase       ,							*_UpperCamelCase)
      UpperCamelCase					       =  int(math.pow(2       ,							math.ceil(math.loga(_UpperCamelCase))))
      UpperCamelCase					       =  matrixa
      UpperCamelCase					       =  matrixa

      # Adding zeros to the matrices so that the arrays dimensions are the same and also
      # power of 2
      for i in range(0       ,							_UpperCamelCase):
            if i < dimensiona[0]:
                  for _ in range(dimensiona[1]       ,							_UpperCamelCase):
                        new_matrixa[i].append(0)
            else:
                  new_matrixa.append([0] * maxim)
            if i < dimensiona[0]:
                  for _ in range(dimensiona[1]       ,							_UpperCamelCase):
                        new_matrixa[i].append(0)
            else:
                  new_matrixa.append([0] * maxim)

      UpperCamelCase					       =  actual_strassen(_UpperCamelCase       ,							_UpperCamelCase)

      # Removing the additional zeros
      for i in range(0       ,							_UpperCamelCase):
            if i < dimensiona[0]:
                  for _ in range(dimensiona[1]       ,							_UpperCamelCase):
                        final_matrix[i].pop()
            else:
                  final_matrix.pop()
      return final_matrix


if __name__ == "__main__":
       __magic_name__   :  Optional[Any]        =							[
           [2, 3, 4, 5],
           [6, 4, 3, 1],
           [2, 3, 6, 7],
           [3, 1, 2, 4],
           [2, 3, 4, 5],
           [6, 4, 3, 1],
           [2, 3, 6, 7],
           [3, 1, 2, 4],
           [2, 3, 4, 5],
           [6, 2, 3, 1],
       ]
       __magic_name__   :  List[str]        =							[[0, 2, 1, 1], [16, 2, 3, 3], [2, 2, 7, 7], [13, 11, 22, 4]]
       print(strassen(matrixa, matrixa))



