

from __future__ import annotations

from typing import Any

class     __snake_case    :
       """simple docstring"""







       def __init__(		self      , _UpperCamelCase      , _UpperCamelCase      , _UpperCamelCase = 0   )      ->							None:






              """simple docstring"""


              __snake_case	,    __snake_case       	=							row, column
              __snake_case       	=							[[default_value for c in range(_UpperCamelCase   )] for r in range(_UpperCamelCase   )]


       def __str__(		self   )      ->							str:






              """simple docstring"""


              __snake_case       	=							F'Matrix consist of {self.row} rows and {self.column} columns\n'

              # Make string identifier
              __snake_case       	=							0
              for row_vector in self.array:
                     for obj in row_vector:
                            __snake_case       	=							max(_UpperCamelCase      , len(str(_UpperCamelCase   )   )   )
              __snake_case       	=							F'%{max_element_length}s'

              # Make string and return
              def single_line(_UpperCamelCase   ) -> str:
                     nonlocal string_format_identifier
                     __snake_case       	=							"""["""
                     line += ", ".join(string_format_identifier % (obj,) for obj in row_vector   )
                     line += "]"
                     return line

              s += "\n".join(single_line(_UpperCamelCase   ) for row_vector in self.array   )
              return s


       def __repr__(		self   )      ->							str:






              """simple docstring"""


              return str(self   )


       def 			a		(		self      , _UpperCamelCase   )      ->							bool:






              """simple docstring"""


              if not (isinstance(_UpperCamelCase      , (list, tuple)   ) and len(_UpperCamelCase   ) == 2):
                     return False
              elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
                     return False
              else:
                     return True


       def __getitem__(		self      , _UpperCamelCase   )      ->							Any:






              """simple docstring"""


              assert self.validate_indicies(_UpperCamelCase   )
              return self.array[loc[0]][loc[1]]


       def __setitem__(		self      , _UpperCamelCase      , _UpperCamelCase   )      ->							None:






              """simple docstring"""


              assert self.validate_indicies(_UpperCamelCase   )
              __snake_case       	=							value


       def __add__(		self      , _UpperCamelCase   )      ->							Matrix:






              """simple docstring"""


              assert isinstance(_UpperCamelCase      , _UpperCamelCase   )
              assert self.row == another.row and self.column == another.column

              # Add
              __snake_case       	=							Matrix(self.row      , self.column   )
              for r in range(self.row   ):
                     for c in range(self.column   ):
                            __snake_case       	=							self[r, c] + another[r, c]
              return result


       def __neg__(		self   )      ->							Matrix:






              """simple docstring"""


              __snake_case       	=							Matrix(self.row      , self.column   )
              for r in range(self.row   ):
                     for c in range(self.column   ):
                            __snake_case       	=							-self[r, c]
              return result


       def __sub__(		self      , _UpperCamelCase   )      ->							Matrix:






              """simple docstring"""


              return self + (-another)


       def __mul__(		self      , _UpperCamelCase   )      ->							Matrix:






              """simple docstring"""


              if isinstance(_UpperCamelCase      , (int, float)   ):  # Scalar multiplication
                     __snake_case       	=							Matrix(self.row      , self.column   )
                     for r in range(self.row   ):
                            for c in range(self.column   ):
                                   __snake_case       	=							self[r, c] * another
                     return result
              elif isinstance(_UpperCamelCase      , _UpperCamelCase   ):  # Matrix multiplication
                     assert self.column == another.row
                     __snake_case       	=							Matrix(self.row      , another.column   )
                     for r in range(self.row   ):
                            for c in range(another.column   ):
                                   for i in range(self.column   ):
                                          result[r, c] += self[r, i] * another[i, c]
                     return result
              else:
                     __snake_case       	=							F'Unsupported type given for another ({type(_UpperCamelCase   )})'
                     raise TypeError(_UpperCamelCase   )


       def 			a		(		self   )      ->							Matrix:






              """simple docstring"""


              __snake_case       	=							Matrix(self.column      , self.row   )
              for r in range(self.row   ):
                     for c in range(self.column   ):
                            __snake_case       	=							self[r, c]
              return result






       def 			a		(		self      , _UpperCamelCase      , _UpperCamelCase   )      ->							Any:






              """simple docstring"""


              assert isinstance(_UpperCamelCase      , _UpperCamelCase   ) and isinstance(_UpperCamelCase      , _UpperCamelCase   )
              assert self.row == self.column == u.row == v.row  # u, v should be column vector
              assert u.column == v.column == 1  # u, v should be column vector

              # Calculate
              __snake_case       	=							v.transpose()
              __snake_case       	=							(v_t * self * u)[0, 0] + 1
              if numerator_factor == 0:
                     return None  # It's not invertable
              return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":







    def 						lowerCamelCase__      ( ):


           """simple docstring"""




           __snake_case       	=							Matrix(3	,3	,0		)
           for i in range(3		):
                  __snake_case       	=							1
           print(F'a^(-1) is {ainv}'		)
           # u, v
           __snake_case       	=							Matrix(3	,1	,0		)
           __snake_case	,    __snake_case	,    __snake_case       	=							1, 2, -3
           __snake_case       	=							Matrix(3	,1	,0		)
           __snake_case	,    __snake_case	,    __snake_case       	=							4, -2, 5
           print(F'u is {u}'		)
           print(F'v is {v}'		)
           print(F'uv^T is {u * v.transpose()}'		)
           # Sherman Morrison
           print(F'(a + uv^T)^(-1) is {ainv.sherman_morrison(__A	,__A		)}'		)







    def 						lowerCamelCase__      ( ):


           """simple docstring"""




           import doctest

           doctest.testmod()




    testa()




import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


UpperCamelCase__		 =     logging.get_logger(__name__)

UpperCamelCase__		 =     '''▁'''

UpperCamelCase__		 =     {
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
}

UpperCamelCase__		 =     {
    '''vocab_file''': {
        '''facebook/s2t-small-librispeech-asr''': (
            '''https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json'''
        ),
    },
    '''spm_file''': {
        '''facebook/s2t-small-librispeech-asr''': (
            '''https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model'''
        )
    },
}

UpperCamelCase__		 =     {
    '''facebook/s2t-small-librispeech-asr''': 1024,
}

UpperCamelCase__		 =     ['''pt''', '''fr''', '''ru''', '''nl''', '''ro''', '''it''', '''es''', '''de''']

UpperCamelCase__		 =     {'''mustc''': MUSTC_LANGS}

class     __snake_case    (				snake_case__  ):
       """simple docstring"""







       __SCREAMING_SNAKE_CASE				    =							VOCAB_FILES_NAMES
       __SCREAMING_SNAKE_CASE				    =							PRETRAINED_VOCAB_FILES_MAP
       __SCREAMING_SNAKE_CASE				    =							MAX_MODEL_INPUT_SIZES
       __SCREAMING_SNAKE_CASE				    =							["input_ids", "attention_mask"]

       __SCREAMING_SNAKE_CASE				    =							[]


       def __init__(		self      , _UpperCamelCase      , _UpperCamelCase      , _UpperCamelCase="<s>"      , _UpperCamelCase="</s>"      , _UpperCamelCase="<pad>"      , _UpperCamelCase="<unk>"      , _UpperCamelCase=False      , _UpperCamelCase=False      , _UpperCamelCase=None      , _UpperCamelCase=None      , _UpperCamelCase = None      , **_UpperCamelCase      , )      ->							None:






              """simple docstring"""


              __snake_case       	=							{} if sp_model_kwargs is None else sp_model_kwargs

              super().__init__(
                  bos_token=_UpperCamelCase      , eos_token=_UpperCamelCase      , unk_token=_UpperCamelCase      , pad_token=_UpperCamelCase      , do_upper_case=_UpperCamelCase      , do_lower_case=_UpperCamelCase      , tgt_lang=_UpperCamelCase      , lang_codes=_UpperCamelCase      , sp_model_kwargs=self.sp_model_kwargs      , **_UpperCamelCase      , )
              __snake_case       	=							do_upper_case
              __snake_case       	=							do_lower_case

              __snake_case       	=							load_json(_UpperCamelCase   )
              __snake_case       	=							{v: k for k, v in self.encoder.items()}
              __snake_case       	=							spm_file
              __snake_case       	=							load_spm(_UpperCamelCase      , self.sp_model_kwargs   )

              if lang_codes is not None:
                     __snake_case       	=							lang_codes
                     __snake_case       	=							LANGUAGES[lang_codes]
                     __snake_case       	=							[F'<lang:{lang}>' for lang in self.langs]
                     __snake_case       	=							{lang: self.sp_model.PieceToId(F'<lang:{lang}>'   ) for lang in self.langs}

                     __snake_case       	=							self.lang_tokens
                     __snake_case       	=							tgt_lang if tgt_lang is not None else self.langs[0]

                     self.set_tgt_lang_special_tokens(self._tgt_lang   )
              else:
                     __snake_case       	=							{}


       @property
       def 			a		(		self   )      ->							int:






              """simple docstring"""


              return len(self.encoder   )


       @property
       def 			a		(		self   )      ->							str:






              """simple docstring"""


              return self._tgt_lang


       @tgt_lang.setter
       def 			a		(		self      , _UpperCamelCase   )      ->							None:






              """simple docstring"""


              __snake_case       	=							new_tgt_lang
              self.set_tgt_lang_special_tokens(_UpperCamelCase   )


       def 			a		(		self      , _UpperCamelCase   )      ->							None:






              """simple docstring"""


              __snake_case       	=							self.lang_code_to_id[tgt_lang]
              __snake_case       	=							[lang_code_id]


       def 			a		(		self      , _UpperCamelCase   )      ->							List[str]:






              """simple docstring"""


              return self.sp_model.encode(_UpperCamelCase      , out_type=_UpperCamelCase   )


       def 			a		(		self      , _UpperCamelCase   )      ->							Optional[Any]:






              """simple docstring"""


              return self.encoder.get(_UpperCamelCase      , self.encoder[self.unk_token]   )


       def 			a		(		self      , _UpperCamelCase   )      ->							str:






              """simple docstring"""


              return self.decoder.get(_UpperCamelCase      , self.unk_token   )


       def 			a		(		self      , _UpperCamelCase   )      ->							str:






              """simple docstring"""


              __snake_case       	=							[]
              __snake_case       	=							""""""
              for token in tokens:
                     # make sure that special tokens are not decoded using sentencepiece model
                     if token in self.all_special_tokens:
                            __snake_case       	=							self.sp_model.decode(_UpperCamelCase   )
                            out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
                            __snake_case       	=							[]
                     else:
                            current_sub_tokens.append(_UpperCamelCase   )
              __snake_case       	=							self.sp_model.decode(_UpperCamelCase   )
              out_string += decoded.upper() if self.do_upper_case else decoded
              return out_string.strip()


       def 			a		(		self      , _UpperCamelCase      , _UpperCamelCase=None   )      ->							List[int]:






              """simple docstring"""


              if token_ids_a is None:
                     return self.prefix_tokens + token_ids_a + [self.eos_token_id]
              # We don't expect to process pairs, but leave the pair logic for API consistency
              return self.prefix_tokens + token_ids_a + token_ids_a + [self.eos_token_id]


       def 			a		(		self      , _UpperCamelCase      , _UpperCamelCase = None      , _UpperCamelCase = False   )      ->							List[int]:






              """simple docstring"""


              if already_has_special_tokens:
                     return super().get_special_tokens_mask(
                         token_ids_a=_UpperCamelCase      , token_ids_a=_UpperCamelCase      , already_has_special_tokens=_UpperCamelCase   )

              __snake_case       	=							[1] * len(self.prefix_tokens   )
              __snake_case       	=							[1]
              if token_ids_a is None:
                     return prefix_ones + ([0] * len(_UpperCamelCase   )) + suffix_ones
              return prefix_ones + ([0] * len(_UpperCamelCase   )) + ([0] * len(_UpperCamelCase   )) + suffix_ones


       def 			a		(		self   )      ->							Dict:






              """simple docstring"""


              __snake_case       	=							self.encoder.copy()
              vocab.update(self.added_tokens_encoder   )
              return vocab


       def __getstate__(		self   )      ->							Dict:






              """simple docstring"""


              __snake_case       	=							self.__dict__.copy()
              __snake_case       	=							None
              return state


       def __setstate__(		self      , _UpperCamelCase   )      ->							None:






              """simple docstring"""


              __snake_case       	=							d

              # for backward compatibility
              if not hasattr(self      , """sp_model_kwargs"""   ):
                     __snake_case       	=							{}

              __snake_case       	=							load_spm(self.spm_file      , self.sp_model_kwargs   )






       def 			a		(		self      , _UpperCamelCase      , _UpperCamelCase = None   )      ->							Tuple[str]:






              """simple docstring"""


              __snake_case       	=							Path(_UpperCamelCase   )
              assert save_dir.is_dir(), F'{save_directory} should be a directory'
              __snake_case       	=							save_dir / (
                  (filename_prefix + """-""" if filename_prefix else """""") + self.vocab_files_names["""vocab_file"""]
              )
              __snake_case       	=							save_dir / (
                  (filename_prefix + """-""" if filename_prefix else """""") + self.vocab_files_names["""spm_file"""]
              )

              save_json(self.encoder      , _UpperCamelCase   )

              if os.path.abspath(self.spm_file   ) != os.path.abspath(_UpperCamelCase   ) and os.path.isfile(self.spm_file   ):
                     copyfile(self.spm_file      , _UpperCamelCase   )
              elif not os.path.isfile(self.spm_file   ):
                     with open(_UpperCamelCase      , """wb"""   ) as fi:
                            __snake_case       	=							self.sp_model.serialized_model_proto()
                            fi.write(_UpperCamelCase   )

              return (str(_UpperCamelCase   ), str(_UpperCamelCase   ))







def 						lowerCamelCase__      ( __A    :str	,__A    :Dict[str, Any]		):


       """simple docstring"""




       __snake_case       	=							sentencepiece.SentencePieceProcessor(**__A		)
       spm.Load(str(__A		)		)
       return spm







def 						lowerCamelCase__      ( __A    :str		):


       """simple docstring"""




       with open(__A	,"""r"""		) as f:
              return json.load(__A		)







def 						lowerCamelCase__      ( __A    :Optional[Any]	,__A    :str		):


       """simple docstring"""




       with open(__A	,"""w"""		) as f:
              json.dump(__A	,__A	,indent=2		)

