




from __future__ import annotations

from typing import Any

class   __a:






    """simple docstring"""





    def __init__(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE = 0  )			->		None:
         UpperCAmelCase_,   UpperCAmelCase_      :							int       =      row, column
         UpperCAmelCase_      :							Optional[Any]       =      [[default_value for c in range(_SCREAMING_SNAKE_CASE  )] for r in range(_SCREAMING_SNAKE_CASE  )]





    def __str__(				self  )			->		str:
         UpperCAmelCase_      :							str       =      f'''Matrix consist of {self.row} rows and {self.column} columns\n'''

         # Make string identifier
         UpperCAmelCase_      :							Optional[Any]       =      0
         for row_vector in self.array:
              for obj in row_vector:
                   UpperCAmelCase_      :							Optional[int]       =      max(_SCREAMING_SNAKE_CASE       ,len(str(_SCREAMING_SNAKE_CASE  )  )  )
         UpperCAmelCase_      :							Dict       =      f'''%{max_element_length}s'''

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

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





    def __repr__(				self  )			->		str:
         return str(self  )





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





    def __getitem__(				self       ,_SCREAMING_SNAKE_CASE  )			->		Any:
         assert self.validate_indicies(_SCREAMING_SNAKE_CASE  )
         return self.array[loc[0]][loc[1]]





    def __setitem__(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )			->		None:
         assert self.validate_indicies(_SCREAMING_SNAKE_CASE  )
         UpperCAmelCase_      :							int       =      value





    def __add__(				self       ,_SCREAMING_SNAKE_CASE  )			->		Matrix:
         assert isinstance(_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )
         assert self.row == another.row and self.column == another.column

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





    def __neg__(				self  )			->		Matrix:
         UpperCAmelCase_      :							int       =      Matrix(self.row       ,self.column  )
         for r in range(self.row  ):
              for c in range(self.column  ):
                   UpperCAmelCase_      :							Dict       =      -self[r, c]
         return result





    def __sub__(				self       ,_SCREAMING_SNAKE_CASE  )			->		Matrix:
         return self + (-another)





    def __mul__(				self       ,_SCREAMING_SNAKE_CASE  )			->		Matrix:

         if isinstance(_SCREAMING_SNAKE_CASE       ,(int, float)  ):  # Scalar multiplication
              UpperCAmelCase_      :							Tuple       =      Matrix(self.row       ,self.column  )
              for r in range(self.row  ):
                   for c in range(self.column  ):
                        UpperCAmelCase_      :							List[Any]       =      self[r, c] * another
              return result
         elif isinstance(_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  ):  # Matrix multiplication
              assert self.column == another.row
              UpperCAmelCase_      :							Union[str, Any]       =      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:
              UpperCAmelCase_      :							str       =      f'''Unsupported type given for another ({type(_SCREAMING_SNAKE_CASE  )})'''
              raise TypeError(_SCREAMING_SNAKE_CASE  )





    def 							a__				(				self  )			->		Matrix:
         UpperCAmelCase_      :							List[Any]       =      Matrix(self.column       ,self.row  )
         for r in range(self.row  ):
              for c in range(self.column  ):
                   UpperCAmelCase_      :							int       =      self[r, c]
         return result





    def 							a__				(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )			->		Any:
         assert isinstance(_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  ) and isinstance(_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  )
         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
         UpperCAmelCase_      :							List[str]       =      v.transpose()
         UpperCAmelCase_      :							int       =      (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'''


          UpperCAmelCase_      :							Tuple       =      Matrix(3			,						3			,						0				)
          for i in range(3				):
               UpperCAmelCase_      :							Any       =      1
          print(f'''a^(-1) is {ainv}'''				)
          # u, v
          UpperCAmelCase_      :							List[str]       =      Matrix(3			,						1			,						0				)
          UpperCAmelCase_,   UpperCAmelCase_,   UpperCAmelCase_      :							List[Any]       =      1, 2, -3
          UpperCAmelCase_      :							List[Any]       =      Matrix(3			,						1			,						0				)
          UpperCAmelCase_,   UpperCAmelCase_,   UpperCAmelCase_      :							str       =      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(_lowercase			,						_lowercase				)}'''				)







     def lowerCamelCase__       (      ):

          '''simple docstring'''


          import doctest

          doctest.testmod()



     testa()





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

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_pegasus import PegasusTokenizer
else:
     __a          =			None


__a          =			logging.get_logger(__name__)


__a          =			'▁'

__a          =			{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

__a          =			{
    'vocab_file': {'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model'},
    'tokenizer_file': {
        'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json'
    },
}

__a          =			{
    'google/pegasus-xsum': 512,
}

class   __a(					_a       ):






    """simple docstring"""





    lowerCAmelCase        =				VOCAB_FILES_NAMES
    lowerCAmelCase        =				PRETRAINED_VOCAB_FILES_MAP
    lowerCAmelCase        =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCAmelCase        =				PegasusTokenizer
    lowerCAmelCase        =				['''input_ids''', '''attention_mask''']





    def __init__(				self       ,_SCREAMING_SNAKE_CASE=None       ,_SCREAMING_SNAKE_CASE=None       ,_SCREAMING_SNAKE_CASE="<pad>"       ,_SCREAMING_SNAKE_CASE="</s>"       ,_SCREAMING_SNAKE_CASE="<unk>"       ,_SCREAMING_SNAKE_CASE="<mask_2>"       ,_SCREAMING_SNAKE_CASE="<mask_1>"       ,_SCREAMING_SNAKE_CASE=None       ,_SCREAMING_SNAKE_CASE=103       ,**_SCREAMING_SNAKE_CASE       ,)			->		Optional[Any]:
         UpperCAmelCase_      :							Dict       =      offset

         if additional_special_tokens is not None:
              if not isinstance(_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE  ):
                   raise TypeError(
                       f'''additional_special_tokens should be of type {type(_SCREAMING_SNAKE_CASE  )}, but is'''
                       f''' {type(_SCREAMING_SNAKE_CASE  )}'''  )

              UpperCAmelCase_      :							str       =      (
                  ([mask_token_sent] + additional_special_tokens)
                  if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
                  else additional_special_tokens
              )
              # fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
              additional_special_tokens_extended += [
                  f'''<unk_{i}>''' for i in range(len(_SCREAMING_SNAKE_CASE  )       ,self.offset - 1  )
              ]

              if len(set(_SCREAMING_SNAKE_CASE  )  ) != len(_SCREAMING_SNAKE_CASE  ):
                   raise ValueError(
                       '''Please make sure that the provided additional_special_tokens do not contain an incorrectly'''
                       f''' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.'''  )
              UpperCAmelCase_      :							int       =      additional_special_tokens_extended
         else:
              UpperCAmelCase_      :							Any       =      [mask_token_sent] if mask_token_sent is not None else []
              additional_special_tokens += [f'''<unk_{i}>''' for i in range(2       ,self.offset  )]

         super().__init__(
             _SCREAMING_SNAKE_CASE       ,tokenizer_file=_SCREAMING_SNAKE_CASE       ,pad_token=_SCREAMING_SNAKE_CASE       ,eos_token=_SCREAMING_SNAKE_CASE       ,unk_token=_SCREAMING_SNAKE_CASE       ,mask_token=_SCREAMING_SNAKE_CASE       ,mask_token_sent=_SCREAMING_SNAKE_CASE       ,offset=_SCREAMING_SNAKE_CASE       ,additional_special_tokens=_SCREAMING_SNAKE_CASE       ,**_SCREAMING_SNAKE_CASE       ,)
         UpperCAmelCase_      :							str       =      vocab_file
         UpperCAmelCase_      :							Dict       =      False if not self.vocab_file else True





    def 							a__				(				self       ,_SCREAMING_SNAKE_CASE  )			->		Any:
         UpperCAmelCase_      :							Dict       =      set(self.all_special_ids  )  # call it once instead of inside list comp
         all_special_ids.remove(self.unk_token_id  )  # <unk> is only sometimes special

         if all_special_ids != set(range(len(self.additional_special_tokens  ) + 3  )  ):
              raise ValueError(
                  '''There should be 3 special tokens: mask_token, pad_token, and eos_token +'''
                  f''' {len(self.additional_special_tokens  )} additional_special_tokens, but got {all_special_ids}'''  )

         return [1 if x in all_special_ids else 0 for x in seq]





    def 							a__				(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE = None       ,_SCREAMING_SNAKE_CASE = False  )			->		List[int]:
         if already_has_special_tokens:
              return self._special_token_mask(_SCREAMING_SNAKE_CASE  )
         elif token_ids_a is None:
              return self._special_token_mask(_SCREAMING_SNAKE_CASE  ) + [1]
         else:
              return self._special_token_mask(token_ids_a + token_ids_a  ) + [1]





    def 							a__				(				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 							a__				(				self       ,_SCREAMING_SNAKE_CASE       ,_SCREAMING_SNAKE_CASE = None  )			->		Tuple[str]:
         if not self.can_save_slow_tokenizer:
              raise ValueError(
                  '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
                  '''tokenizer.'''  )

         if not os.path.isdir(_SCREAMING_SNAKE_CASE  ):
              logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''  )
              return
         UpperCAmelCase_      :							Optional[int]       =      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  ):
              copyfile(self.vocab_file       ,_SCREAMING_SNAKE_CASE  )

         return (out_vocab_file,)