


def        lowerCAmelCase_			(					__A							)					->    int:







      '''simple docstring'''


      UpperCAmelCase__								=  len(SCREAMING_SNAKE_CASE_							)
      UpperCAmelCase__								=  len(matrix[0]							)
      UpperCAmelCase__								=  min(SCREAMING_SNAKE_CASE_,  SCREAMING_SNAKE_CASE_							)

      for row in range(SCREAMING_SNAKE_CASE_							):
            # Check if diagonal element is not zero
            if matrix[row][row] != 0:
                  # Eliminate all the elements below the diagonal
                  for col in range(row + 1,  SCREAMING_SNAKE_CASE_							):
                        UpperCAmelCase__								=  matrix[col][row] / matrix[row][row]
                        for i in range(SCREAMING_SNAKE_CASE_,  SCREAMING_SNAKE_CASE_							):
                              matrix[col][i] -= multiplier * matrix[row][i]
            else:
                  # Find a non-zero diagonal element to swap rows
                  UpperCAmelCase__								=  True
                  for i in range(row + 1,  SCREAMING_SNAKE_CASE_							):
                        if matrix[i][row] != 0:
                              UpperCAmelCase__		,				UpperCAmelCase__								=  matrix[i], matrix[row]
                              UpperCAmelCase__								=  False
                              break
                  if reduce:
                        rank -= 1
                        for i in range(SCREAMING_SNAKE_CASE_							):
                              UpperCAmelCase__								=  matrix[i][rank]

            # Reduce the row pointer by one to stay on the same row
                  row -= 1

      return rank


if __name__ == "__main__":
      import doctest

      doctest.testmod()




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:
      UpperCamelCase__    							= None


UpperCamelCase__    							= logging.get_logger(__name__)


UpperCamelCase__    							= '▁'

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

UpperCamelCase__    							= {
    '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'
    },
}

UpperCamelCase__    							= {
    'google/pegasus-xsum': 5_1_2,
}





class 					A							(    UpperCAmelCase_					):
   __UpperCAmelCase			:			str              =      VOCAB_FILES_NAMES
   __UpperCAmelCase			:			Any              =      PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase			:			List[Any]              =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase			:			Union[str, Any]              =      PegasusTokenizer
   __UpperCAmelCase			:			Any              =      ['input_ids', 'attention_mask']


   def __init__(self					:						Optional[int]	,  __UpperCAmelCase					:						List[str]=None	,  __UpperCAmelCase					:						Any=None	,  __UpperCAmelCase					:						Union[str, Any]="<pad>"	,  __UpperCAmelCase					:						List[str]="</s>"	,  __UpperCAmelCase					:						Union[str, Any]="<unk>"	,  __UpperCAmelCase					:						int="<mask_2>"	,  __UpperCAmelCase					:						Optional[Any]="<mask_1>"	,  __UpperCAmelCase					:						Union[str, Any]=None	,  __UpperCAmelCase					:						str=1_0_3	,  **__UpperCAmelCase					:						str	,  )						->    Optional[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  offset

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

               UpperCAmelCase__								=  (
                   ([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(__UpperCAmelCase		)	,  self.offset - 1		)
               ]

               if len(set(__UpperCAmelCase		)		) != len(__UpperCAmelCase		):
                     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__								=  additional_special_tokens_extended
         else:
               UpperCAmelCase__								=  [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__(
             __UpperCAmelCase	,  tokenizer_file=__UpperCAmelCase	,  pad_token=__UpperCAmelCase	,  eos_token=__UpperCAmelCase	,  unk_token=__UpperCAmelCase	,  mask_token=__UpperCAmelCase	,  mask_token_sent=__UpperCAmelCase	,  offset=__UpperCAmelCase	,  additional_special_tokens=__UpperCAmelCase	,  **__UpperCAmelCase	,  )
         UpperCAmelCase__								=  vocab_file
         UpperCAmelCase__								=  False if not self.vocab_file else True


   def       lowercase_				(self					:						List[Any]	,  __UpperCAmelCase					:						Tuple		)						->    int:
         """simple docstring"""



         UpperCAmelCase__								=  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       lowercase_				(self					:						Union[str, Any]	,  __UpperCAmelCase					:						List	,  __UpperCAmelCase					:						Optional[List] = None	,  __UpperCAmelCase					:						bool = False		)						->    List[int]:
         """simple docstring"""



         if already_has_special_tokens:
               return self._special_token_mask(__UpperCAmelCase		)
         elif token_ids_a is None:
               return self._special_token_mask(__UpperCAmelCase		) + [1]
         else:
               return self._special_token_mask(token_ids_a + token_ids_a		) + [1]


   def       lowercase_				(self					:						str	,  __UpperCAmelCase					:						List[str]	,  __UpperCAmelCase					:						Optional[Any]=None		)						->    List[int]:
         """simple docstring"""



         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					:						List[str]	,  __UpperCAmelCase					:						str	,  __UpperCAmelCase					:						Optional[str] = None		)						->    Tuple[str]:
         """simple docstring"""



         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(__UpperCAmelCase		):
               logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""		)
               return
         UpperCAmelCase__								=  os.path.join(
             __UpperCAmelCase	,  (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

         if os.path.abspath(self.vocab_file		) != os.path.abspath(__UpperCAmelCase		):
               copyfile(self.vocab_file	,  __UpperCAmelCase		)

         return (out_vocab_file,)



