


'''simple docstring'''






from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


__A   :    Union[str, Any]											= logging.get_logger(__name__)

__A   :    int											= {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

__A   :    int											= {
    "vocab_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"
    },
    "merges_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"
    },
    "tokenizer_config_file": {
        "facebook/blenderbot_small-90M": (
            "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"
        )
    },
}

__A   :    str											= {
    "facebook/blenderbot_small-90M": 512,
}






class   __snake_case			(  _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase  					=   VOCAB_FILES_NAMES
    lowercase  					=   PRETRAINED_VOCAB_FILES_MAP
    lowercase  					=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase  					=   BlenderbotSmallTokenizer

    def __init__(  self       :    Any       ,		lowerCamelCase       :    Any=None       ,		lowerCamelCase       :    Union[str, Any]=None       ,		lowerCamelCase       :    Dict="<|endoftext|>"       ,		lowerCamelCase       :    Union[str, Any]="<|endoftext|>"       ,		lowerCamelCase       :    Optional[int]="<|endoftext|>"       ,		lowerCamelCase       :    List[Any]=False       ,		lowerCamelCase       :    Optional[Any]=True       ,		**lowerCamelCase       :    Dict       ,		)  ->    Optional[int]:
      super().__init__(
          ByteLevelBPETokenizer(
              vocab=lowerCamelCase       ,		merges=lowerCamelCase       ,		add_prefix_space=lowerCamelCase       ,		trim_offsets=lowerCamelCase       ,		)       ,		bos_token=lowerCamelCase       ,		eos_token=lowerCamelCase       ,		unk_token=lowerCamelCase       ,		**lowerCamelCase       ,		)
      lowerCAmelCase_     : List[Any]     =  add_prefix_space

    def __lowercase  (  self       :    Optional[int]       ,		lowerCamelCase       :    List[Any]       ,		lowerCamelCase       :    List[Any]=None						)  ->    Dict:
      lowerCAmelCase_     : Optional[Any]     =  [self.bos_token_id] + token_ids_a + [self.eos_token_id]
      if token_ids_a is None:
        return output

      return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]





    def __lowercase  (  self       :    List[Any]       ,		lowerCamelCase       :    List[int]       ,		lowerCamelCase       :    Optional[List[int]] = None						)  ->    List[int]:
      lowerCAmelCase_     : Optional[Any]     =  [self.sep_token_id]
      lowerCAmelCase_     : Optional[int]     =  [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 + sep + token_ids_a + sep						) * [0]







'''simple docstring'''






from __future__ import annotations

import numpy as np







def 							UpperCamelCase_     (       A__   :  np.ndarray   ):
  '''simple docstring'''





  lowerCAmelCase_,				lowerCAmelCase_     : List[str]     =  np.shape(A__   )
  if rows != columns:
    lowerCAmelCase_     : List[str]     =  (
        """'table' has to be of square shaped array but got a """
        f'{rows}x{columns} array:\n{table}'
    )
    raise ValueError(A__   )

  lowerCAmelCase_     : Optional[int]     =  np.zeros((rows, columns)   )
  lowerCAmelCase_     : Tuple     =  np.zeros((rows, columns)   )
  for i in range(A__   ):
    for j in range(A__   ):
      lowerCAmelCase_     : str     =  sum(lower[i][k] * upper[k][j] for k in range(A__   )   )
      if upper[j][j] == 0:
        raise ArithmeticError("""No LU decomposition exists"""   )
      lowerCAmelCase_     : Union[str, Any]     =  (table[i][j] - total) / upper[j][j]
    lowerCAmelCase_     : Dict     =  1
    for j in range(A__				,       A__   ):
      lowerCAmelCase_     : str     =  sum(lower[i][k] * upper[k][j] for k in range(A__   )   )
      lowerCAmelCase_     : List[str]     =  table[i][j] - total
  return lower, upper


if __name__ == "__main__":
  import doctest

  doctest.testmod()



