


'''simple docstring'''



from __future__ import annotations

import math



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				list      ,    UpperCAmelCase_    :				list							)     ->		list:
     if len(UpperCAmelCase_							) != 2 or len(a[0]							) != 2 or len(UpperCAmelCase_							) != 2 or len(b[0]							) != 2:
          raise Exception('Matrices are not 2x2'							)
     __lowerCamelCase   :	List[Any]								=		[
         [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 			UpperCAmelCase__					(	UpperCAmelCase_    :				list      ,    UpperCAmelCase_    :				list							)     ->		Optional[Any]:
     return [
         [matrix_a[row][col] + matrix_b[row][col] for col in range(len(matrix_a[row]							)							)]
         for row in range(len(UpperCAmelCase_							)							)
     ]



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				list      ,    UpperCAmelCase_    :				list							)     ->		str:
     return [
         [matrix_a[row][col] - matrix_b[row][col] for col in range(len(matrix_a[row]							)							)]
         for row in range(len(UpperCAmelCase_							)							)
     ]



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				list							)     ->		tuple[list, list, list, list]:
     if len(UpperCAmelCase_							) % 2 != 0 or len(a[0]							) % 2 != 0:
          raise Exception('Odd matrices are not supported!'							)

     __lowerCamelCase   :	int								=		len(UpperCAmelCase_							)
     __lowerCamelCase   :	Optional[Any]								=		matrix_length // 2

     __lowerCamelCase   :	Any								=		[[a[i][j] for j in range(UpperCAmelCase_      ,    UpperCAmelCase_							)] for i in range(UpperCAmelCase_							)]
     __lowerCamelCase   :	int								=		[
         [a[i][j] for j in range(UpperCAmelCase_      ,    UpperCAmelCase_							)] for i in range(UpperCAmelCase_      ,    UpperCAmelCase_							)
     ]

     __lowerCamelCase   :	List[Any]								=		[[a[i][j] for j in range(UpperCAmelCase_							)] for i in range(UpperCAmelCase_							)]
     __lowerCamelCase   :	List[str]								=		[[a[i][j] for j in range(UpperCAmelCase_							)] for i in range(UpperCAmelCase_      ,    UpperCAmelCase_							)]

     return top_left, top_right, bot_left, bot_right



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				list							)     ->		tuple[int, int]:
     return len(UpperCAmelCase_							), len(matrix[0]							)



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				list							)     ->		None:
     print('\n'.join(str(UpperCAmelCase_							) for line in matrix							)							)



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				list      ,    UpperCAmelCase_    :				list							)     ->		list:
     if matrix_dimensions(UpperCAmelCase_							) == (2, 2):
          return default_matrix_multiplication(UpperCAmelCase_      ,    UpperCAmelCase_							)

     __lowerCamelCase				,       __lowerCamelCase				,       __lowerCamelCase				,       __lowerCamelCase   :	Any								=		split_matrix(UpperCAmelCase_							)
     __lowerCamelCase				,       __lowerCamelCase				,       __lowerCamelCase				,       __lowerCamelCase   :	Any								=		split_matrix(UpperCAmelCase_							)

     __lowerCamelCase   :	Dict								=		actual_strassen(UpperCAmelCase_      ,    matrix_subtraction(UpperCAmelCase_      ,    UpperCAmelCase_							)							)
     __lowerCamelCase   :	Union[str, Any]								=		actual_strassen(matrix_addition(UpperCAmelCase_      ,    UpperCAmelCase_							)      ,    UpperCAmelCase_							)
     __lowerCamelCase   :	Tuple								=		actual_strassen(matrix_addition(UpperCAmelCase_      ,    UpperCAmelCase_							)      ,    UpperCAmelCase_							)
     __lowerCamelCase   :	Union[str, Any]								=		actual_strassen(UpperCAmelCase_      ,    matrix_subtraction(UpperCAmelCase_      ,    UpperCAmelCase_							)							)
     __lowerCamelCase   :	Tuple								=		actual_strassen(matrix_addition(UpperCAmelCase_      ,    UpperCAmelCase_							)      ,    matrix_addition(UpperCAmelCase_      ,    UpperCAmelCase_							)							)
     __lowerCamelCase   :	List[Any]								=		actual_strassen(matrix_subtraction(UpperCAmelCase_      ,    UpperCAmelCase_							)      ,    matrix_addition(UpperCAmelCase_      ,    UpperCAmelCase_							)							)
     __lowerCamelCase   :	str								=		actual_strassen(matrix_subtraction(UpperCAmelCase_      ,    UpperCAmelCase_							)      ,    matrix_addition(UpperCAmelCase_      ,    UpperCAmelCase_							)							)

     __lowerCamelCase   :	Optional[int]								=		matrix_addition(matrix_subtraction(matrix_addition(UpperCAmelCase_      ,    UpperCAmelCase_							)      ,    UpperCAmelCase_							)      ,    UpperCAmelCase_							)
     __lowerCamelCase   :	List[str]								=		matrix_addition(UpperCAmelCase_      ,    UpperCAmelCase_							)
     __lowerCamelCase   :	Optional[int]								=		matrix_addition(UpperCAmelCase_      ,    UpperCAmelCase_							)
     __lowerCamelCase   :	Any								=		matrix_subtraction(matrix_subtraction(matrix_addition(UpperCAmelCase_      ,    UpperCAmelCase_							)      ,    UpperCAmelCase_							)      ,    UpperCAmelCase_							)

     # construct the new matrix from our 4 quadrants
     __lowerCamelCase   :	List[str]								=		[]
     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 			UpperCAmelCase__					(	UpperCAmelCase_    :				list      ,    UpperCAmelCase_    :				list							)     ->		list:
     if matrix_dimensions(UpperCAmelCase_							)[1] != matrix_dimensions(UpperCAmelCase_							)[0]:
          __lowerCamelCase   :	List[Any]								=		(
              'Unable to multiply these matrices, please check the dimensions.\n'
              F'Matrix A: {matrixa}\n'
              F'Matrix B: {matrixa}'
          )
          raise Exception(UpperCAmelCase_							)
     __lowerCamelCase   :	Optional[int]								=		matrix_dimensions(UpperCAmelCase_							)
     __lowerCamelCase   :	Optional[Any]								=		matrix_dimensions(UpperCAmelCase_							)

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

     __lowerCamelCase   :	Dict								=		max(*UpperCAmelCase_      ,    *UpperCAmelCase_							)
     __lowerCamelCase   :	int								=		int(math.pow(2      ,    math.ceil(math.loga(UpperCAmelCase_							)							)							)							)
     __lowerCamelCase   :	int								=		matrixa
     __lowerCamelCase   :	Tuple								=		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							)

     __lowerCamelCase   :	Tuple								=		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__":
      A__		:					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],
      ]
      A__		:					Dict												=  [[0, 2, 1, 1], [16, 2, 3, 3], [2, 2, 7, 7], [13, 11, 22, 4]]
      print(strassen(matrixa, matrixa))










'''simple docstring'''



import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


A__		:					Tuple												=  logging.get_logger(__name__)

A__		:					List[str]												=  {"""vocab_file""": """spm_char.model"""}

A__		:					str												=  {
    """vocab_file""": {
        """microsoft/speecht5_asr""": """https://huggingface.co/microsoft/speecht5_asr/resolve/main/spm_char.model""",
        """microsoft/speecht5_tts""": """https://huggingface.co/microsoft/speecht5_tts/resolve/main/spm_char.model""",
        """microsoft/speecht5_vc""": """https://huggingface.co/microsoft/speecht5_vc/resolve/main/spm_char.model""",
    }
}

A__		:					List[Any]												=  {
    """microsoft/speecht5_asr""": 1024,
    """microsoft/speecht5_tts""": 1024,
    """microsoft/speecht5_vc""": 1024,
}





class    UpperCAmelCase_  (_UpperCAmelCase  ):





    """simple docstring"""






    lowerCamelCase  :					Optional[Any]							     =			VOCAB_FILES_NAMES
    lowerCamelCase  :					Any							     =			PRETRAINED_VOCAB_FILES_MAP
    lowerCamelCase  :					Union[str, Any]							     =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCamelCase  :					int							     =			['input_ids', 'attention_mask']







    def __init__(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_="<s>"			,     SCREAMING_SNAKE_CASE_="</s>"			,     SCREAMING_SNAKE_CASE_="<unk>"			,     SCREAMING_SNAKE_CASE_="<pad>"			,     SCREAMING_SNAKE_CASE_ = None			,     **SCREAMING_SNAKE_CASE_			,     )				->     None:
         __lowerCamelCase   :	Any								=		{} if sp_model_kwargs is None else sp_model_kwargs

         super().__init__(
             bos_token=SCREAMING_SNAKE_CASE_			,     eos_token=SCREAMING_SNAKE_CASE_			,     unk_token=SCREAMING_SNAKE_CASE_			,     pad_token=SCREAMING_SNAKE_CASE_			,     sp_model_kwargs=self.sp_model_kwargs			,     **SCREAMING_SNAKE_CASE_			,     )

         __lowerCamelCase   :	List[Any]								=		vocab_file

         __lowerCamelCase   :	str								=		spm.SentencePieceProcessor(**self.sp_model_kwargs	)
         self.sp_model.Load(SCREAMING_SNAKE_CASE_	)







    @property
    def       lowercase_				(							self	)				->     List[str]:
         return self.sp_model.get_piece_size()







    def       lowercase_				(							self	)				->     Tuple:
         __lowerCamelCase   :	str								=		{self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_	): i for i in range(self.vocab_size	)}
         vocab.update(self.added_tokens_encoder	)
         return vocab







    def __getstate__(							self	)				->     Optional[Any]:
         __lowerCamelCase   :	Dict								=		self.__dict__.copy()
         __lowerCamelCase   :	int								=		None
         return state







    def __setstate__(							self			,     SCREAMING_SNAKE_CASE_	)				->     List[str]:
         __lowerCamelCase   :	Union[str, Any]								=		d

         # for backward compatibility
         if not hasattr(self			,     'sp_model_kwargs'	):
              __lowerCamelCase   :	List[str]								=		{}

         __lowerCamelCase   :	Dict								=		spm.SentencePieceProcessor(**self.sp_model_kwargs	)
         self.sp_model.Load(self.vocab_file	)







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     List[str]:
         return self.sp_model.encode(SCREAMING_SNAKE_CASE_			,     out_type=SCREAMING_SNAKE_CASE_	)







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     str:
         return self.sp_model.piece_to_id(SCREAMING_SNAKE_CASE_	)







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     Dict:
         __lowerCamelCase   :	Any								=		self.sp_model.IdToPiece(SCREAMING_SNAKE_CASE_	)
         return token







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     List[Any]:
         __lowerCamelCase   :	Union[str, Any]								=		[]
         __lowerCamelCase   :	str								=		''
         for token in tokens:
              # make sure that special tokens are not decoded using sentencepiece model
              if token in self.all_special_tokens:
                   out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE_	) + token
                   __lowerCamelCase   :	int								=		[]
              else:
                   current_sub_tokens.append(SCREAMING_SNAKE_CASE_	)
         out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE_	)
         return out_string.strip()







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_=None	)				->     List[int]:
         if token_ids_a is None:
              return token_ids_a + [self.eos_token_id]
         # We don't expect to process pairs, but leave the pair logic for API consistency
         return token_ids_a + token_ids_a + [self.eos_token_id]







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_ = None			,     SCREAMING_SNAKE_CASE_ = False	)				->     List[int]:
         if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=SCREAMING_SNAKE_CASE_			,     token_ids_a=SCREAMING_SNAKE_CASE_			,     already_has_special_tokens=SCREAMING_SNAKE_CASE_	)

         __lowerCamelCase   :	str								=		[1]
         if token_ids_a is None:
              return ([0] * len(SCREAMING_SNAKE_CASE_	)) + suffix_ones
         return ([0] * len(SCREAMING_SNAKE_CASE_	)) + ([0] * len(SCREAMING_SNAKE_CASE_	)) + suffix_ones







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_ = None	)				->     Tuple[str]:
         if not os.path.isdir(SCREAMING_SNAKE_CASE_	):
              logger.error(f'Vocabulary path ({save_directory}) should be a directory'	)
              return
         __lowerCamelCase   :	Tuple								=		os.path.join(
             SCREAMING_SNAKE_CASE_			,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']	)

         if os.path.abspath(self.vocab_file	) != os.path.abspath(SCREAMING_SNAKE_CASE_	) and os.path.isfile(self.vocab_file	):
              copyfile(self.vocab_file			,     SCREAMING_SNAKE_CASE_	)
         elif not os.path.isfile(self.vocab_file	):
              with open(SCREAMING_SNAKE_CASE_			,     'wb'	) as fi:
                   __lowerCamelCase   :	str								=		self.sp_model.serialized_model_proto()
                   fi.write(SCREAMING_SNAKE_CASE_	)

         return (out_vocab_file,)






