


'''simple docstring'''






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


__A   :    Tuple											= logging.get_logger(__name__)

__A   :    Any											= {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

__A   :    str											= {
    "vocab_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt",
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-german-cased": (
            "https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"
        ),
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"
        ),
    },
}

__A   :    Any											= {
    "distilbert-base-uncased": 512,
    "distilbert-base-uncased-distilled-squad": 512,
    "distilbert-base-cased": 512,
    "distilbert-base-cased-distilled-squad": 512,
    "distilbert-base-german-cased": 512,
    "distilbert-base-multilingual-cased": 512,
}


__A   :    str											= {
    "distilbert-base-uncased": {"do_lower_case": True},
    "distilbert-base-uncased-distilled-squad": {"do_lower_case": True},
    "distilbert-base-cased": {"do_lower_case": False},
    "distilbert-base-cased-distilled-squad": {"do_lower_case": False},
    "distilbert-base-german-cased": {"do_lower_case": False},
    "distilbert-base-multilingual-cased": {"do_lower_case": False},
}






class   __snake_case			(  _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase  					=   VOCAB_FILES_NAMES
    lowercase  					=   PRETRAINED_VOCAB_FILES_MAP
    lowercase  					=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase  					=   PRETRAINED_INIT_CONFIGURATION
    lowercase  					=   ['input_ids', 'attention_mask']
    lowercase  					=   DistilBertTokenizer

    def __init__(  self       :    Optional[Any]       ,		lowerCamelCase       :    Union[str, Any]=None       ,		lowerCamelCase       :    List[str]=None       ,		lowerCamelCase       :    str=True       ,		lowerCamelCase       :    Any="[UNK]"       ,		lowerCamelCase       :    Optional[Any]="[SEP]"       ,		lowerCamelCase       :    str="[PAD]"       ,		lowerCamelCase       :    Optional[Any]="[CLS]"       ,		lowerCamelCase       :    Any="[MASK]"       ,		lowerCamelCase       :    List[str]=True       ,		lowerCamelCase       :    Optional[int]=None       ,		**lowerCamelCase       :    int       ,		)  ->    List[str]:
      super().__init__(
          lowerCamelCase       ,		tokenizer_file=lowerCamelCase       ,		do_lower_case=lowerCamelCase       ,		unk_token=lowerCamelCase       ,		sep_token=lowerCamelCase       ,		pad_token=lowerCamelCase       ,		cls_token=lowerCamelCase       ,		mask_token=lowerCamelCase       ,		tokenize_chinese_chars=lowerCamelCase       ,		strip_accents=lowerCamelCase       ,		**lowerCamelCase       ,		)

      lowerCAmelCase_     : Union[str, Any]     =  json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
      if (
          normalizer_state.get("""lowercase"""       ,		lowerCamelCase						) != do_lower_case
          or normalizer_state.get("""strip_accents"""       ,		lowerCamelCase						) != strip_accents
          or normalizer_state.get("""handle_chinese_chars"""       ,		lowerCamelCase						) != tokenize_chinese_chars
      ):
        lowerCAmelCase_     : str     =  getattr(lowerCamelCase       ,		normalizer_state.pop("""type"""						)						)
        lowerCAmelCase_     : Optional[Any]     =  do_lower_case
        lowerCAmelCase_     : Any     =  strip_accents
        lowerCAmelCase_     : Dict     =  tokenize_chinese_chars
        lowerCAmelCase_     : Union[str, Any]     =  normalizer_class(**lowerCamelCase						)

      lowerCAmelCase_     : List[Any]     =  do_lower_case

    def __lowercase  (  self       :    Optional[Any]       ,		lowerCamelCase       :    Tuple       ,		lowerCamelCase       :    int=None						)  ->    Optional[Any]:
      lowerCAmelCase_     : str     =  [self.cls_token_id] + token_ids_a + [self.sep_token_id]

      if token_ids_a:
        output += token_ids_a + [self.sep_token_id]

      return output

    def __lowercase  (  self       :    Dict       ,		lowerCamelCase       :    List[int]       ,		lowerCamelCase       :    Optional[List[int]] = None						)  ->    List[int]:
      lowerCAmelCase_     : Optional[int]     =  [self.sep_token_id]
      lowerCAmelCase_     : List[Any]     =  [self.cls_token_id]
      if token_ids_a is None:
        return len(cls + token_ids_a + sep						) * [0]
      return len(cls + token_ids_a + sep						) * [0] + len(token_ids_a + sep						) * [1]





    def __lowercase  (  self       :    str       ,		lowerCamelCase       :    str       ,		lowerCamelCase       :    Optional[str] = None						)  ->    Tuple[str]:
      lowerCAmelCase_     : Union[str, Any]     =  self._tokenizer.model.save(lowerCamelCase       ,		name=lowerCamelCase						)
      return tuple(lowerCamelCase						)







'''simple docstring'''






def 							UpperCamelCase_     (       A__   :  list[list[int | float]]   ):
  '''simple docstring'''





  lowerCAmelCase_     : List[str]     =  len(A__   )
  lowerCAmelCase_     : Union[str, Any]     =  len(matrix[0]   )
  lowerCAmelCase_     : Optional[int]     =  min(A__				,       A__   )

  for row in range(A__   ):
    # 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				,       A__   ):
        lowerCAmelCase_     : int     =  matrix[col][row] / matrix[row][row]
        for i in range(A__				,       A__   ):
          matrix[col][i] -= multiplier * matrix[row][i]
    else:
      # Find a non-zero diagonal element to swap rows
      lowerCAmelCase_     : int     =  True
      for i in range(row + 1				,       A__   ):
        if matrix[i][row] != 0:
          lowerCAmelCase_,				lowerCAmelCase_     : List[Any]     =  matrix[i], matrix[row]
          lowerCAmelCase_     : Dict     =  False
          break
      if reduce:
        rank -= 1
        for i in range(A__   ):
          lowerCAmelCase_     : List[Any]     =  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()



