





'''simple docstring'''


import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_SCREAMING_SNAKE_CASE		       =							logging.get_logger(__name__)


_SCREAMING_SNAKE_CASE		       =							{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all BART models at https://huggingface.co/models?filter=bart
_SCREAMING_SNAKE_CASE		       =							{
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
}

_SCREAMING_SNAKE_CASE		       =							{
    'facebook/bart-base': 10_24,
    'facebook/bart-large': 10_24,
    'facebook/bart-large-mnli': 10_24,
    'facebook/bart-large-cnn': 10_24,
    'facebook/bart-large-xsum': 10_24,
    'yjernite/bart_eli5': 10_24,
}


@lru_cache()
def 		__a():



    '''simple docstring'''





    _lowerCAmelCase			=					(
        list(range(ord("!"			)						,				ord("~"			) + 1			)			) + list(range(ord("¡"			)						,				ord("¬"			) + 1			)			) + list(range(ord("®"			)						,				ord("ÿ"			) + 1			)			)
    )
    _lowerCAmelCase			=					bs[:]
    _lowerCAmelCase			=					0
    for b in range(2**8			):
        if b not in bs:
            bs.append(_UpperCAmelCase			)
            cs.append(2**8 + n			)
            n += 1
    _lowerCAmelCase			=					[chr(_UpperCAmelCase			) for n in cs]
    return dict(zip(_UpperCAmelCase						,				_UpperCAmelCase			)			)


def 		__a(SCREAMING_SNAKE_CASE_     :    List[Any]			):



    '''simple docstring'''





    _lowerCAmelCase			=					set()
    _lowerCAmelCase			=					word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)			)
        _lowerCAmelCase			=					char
    return pairs





class       lowerCAmelCase_						(						UpperCAmelCase__						):
 __lowerCamelCase  :							List[Any]				     =    VOCAB_FILES_NAMES
 __lowerCamelCase  :							List[str]				     =    PRETRAINED_VOCAB_FILES_MAP
 __lowerCamelCase  :							Optional[int]				     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCamelCase  :							Union[str, Any]				     =    ["""input_ids""", """attention_mask"""]




 def __init__(		self	,   _lowerCAmelCase	,   _lowerCAmelCase	,   _lowerCAmelCase="replace"	,   _lowerCAmelCase="<s>"	,   _lowerCAmelCase="</s>"	,   _lowerCAmelCase="</s>"	,   _lowerCAmelCase="<s>"	,   _lowerCAmelCase="<unk>"	,   _lowerCAmelCase="<pad>"	,   _lowerCAmelCase="<mask>"	,   _lowerCAmelCase=False	,   **_lowerCAmelCase	,   )			->							Dict:
     _lowerCAmelCase			=					AddedToken(snake_case_	,   lstrip=snake_case_	,   rstrip=snake_case_						) if isinstance(snake_case_	,   snake_case_						) else bos_token
     _lowerCAmelCase			=					AddedToken(snake_case_	,   lstrip=snake_case_	,   rstrip=snake_case_						) if isinstance(snake_case_	,   snake_case_						) else eos_token
     _lowerCAmelCase			=					AddedToken(snake_case_	,   lstrip=snake_case_	,   rstrip=snake_case_						) if isinstance(snake_case_	,   snake_case_						) else sep_token
     _lowerCAmelCase			=					AddedToken(snake_case_	,   lstrip=snake_case_	,   rstrip=snake_case_						) if isinstance(snake_case_	,   snake_case_						) else cls_token
     _lowerCAmelCase			=					AddedToken(snake_case_	,   lstrip=snake_case_	,   rstrip=snake_case_						) if isinstance(snake_case_	,   snake_case_						) else unk_token
     _lowerCAmelCase			=					AddedToken(snake_case_	,   lstrip=snake_case_	,   rstrip=snake_case_						) if isinstance(snake_case_	,   snake_case_						) else pad_token

     # Mask token behave like a normal word, i.e. include the space before it
     _lowerCAmelCase			=					AddedToken(snake_case_	,   lstrip=snake_case_	,   rstrip=snake_case_						) if isinstance(snake_case_	,   snake_case_						) else mask_token

     super().__init__(
         errors=snake_case_	,   bos_token=snake_case_	,   eos_token=snake_case_	,   unk_token=snake_case_	,   sep_token=snake_case_	,   cls_token=snake_case_	,   pad_token=snake_case_	,   mask_token=snake_case_	,   add_prefix_space=snake_case_	,   **snake_case_	,   )

     with open(snake_case_	,   encoding="utf-8"						) as vocab_handle:
         _lowerCAmelCase			=					json.load(snake_case_						)
     _lowerCAmelCase			=					{v: k for k, v in self.encoder.items()}
     _lowerCAmelCase			=					errors  # how to handle errors in decoding
     _lowerCAmelCase			=					bytes_to_unicode()
     _lowerCAmelCase			=					{v: k for k, v in self.byte_encoder.items()}
     with open(snake_case_	,   encoding="utf-8"						) as merges_handle:
         _lowerCAmelCase			=					merges_handle.read().split("\n"						)[1:-1]
     _lowerCAmelCase			=					[tuple(merge.split()						) for merge in bpe_merges]
     _lowerCAmelCase			=					dict(zip(snake_case_	,   range(len(snake_case_						)						)						)						)
     _lowerCAmelCase			=					{}
     _lowerCAmelCase			=					add_prefix_space

     # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
     _lowerCAmelCase			=					re.compile(r"\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"						)




 @property
 def 							_snake_case      (		self						)			->							int:
     return len(self.encoder						)




 def 							_snake_case      (		self						)			->							Dict:
     return dict(self.encoder	,   **self.added_tokens_encoder						)




 def 							_snake_case      (		self	,   _lowerCAmelCase						)			->							str:

     if token in self.cache:
         return self.cache[token]
     _lowerCAmelCase			=					tuple(snake_case_						)
     _lowerCAmelCase			=					get_pairs(snake_case_						)

     if not pairs:
         return token

     while True:
         _lowerCAmelCase			=					min(snake_case_	,   key=lambda _lowerCAmelCase						: self.bpe_ranks.get(snake_case_	,   float("inf"						)						)						)
         if bigram not in self.bpe_ranks:
             break
         _lowerCAmelCase			=					bigram
         _lowerCAmelCase			=					[]
         _lowerCAmelCase			=					0
         while i < len(snake_case_						):
             try:
                 _lowerCAmelCase			=					word.index(snake_case_	,   snake_case_						)
             except ValueError:
                 new_word.extend(word[i:]						)
                 break
             else:
                 new_word.extend(word[i:j]						)
                 _lowerCAmelCase			=					j

             if word[i] == first and i < len(snake_case_						) - 1 and word[i + 1] == second:
                 new_word.append(first + second						)
                 i += 2
             else:
                 new_word.append(word[i]						)
                 i += 1
         _lowerCAmelCase			=					tuple(snake_case_						)
         _lowerCAmelCase			=					new_word
         if len(snake_case_						) == 1:
             break
         else:
             _lowerCAmelCase			=					get_pairs(snake_case_						)
     _lowerCAmelCase			=					' '.join(snake_case_						)
     _lowerCAmelCase			=					word
     return word




 def 							_snake_case      (		self	,   _lowerCAmelCase						)			->							List[Any]:
     _lowerCAmelCase			=					[]
     for token in re.findall(self.pat	,   snake_case_						):
         _lowerCAmelCase			=					''.join(
             self.byte_encoder[b] for b in token.encode("utf-8"						)						)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
         bpe_tokens.extend(bpe_token for bpe_token in self.bpe(snake_case_						).split(" "						)						)
     return bpe_tokens




 def 							_snake_case      (		self	,   _lowerCAmelCase						)			->							int:
     return self.encoder.get(snake_case_	,   self.encoder.get(self.unk_token						)						)




 def 							_snake_case      (		self	,   _lowerCAmelCase						)			->							Optional[Any]:
     return self.decoder.get(snake_case_						)




 def 							_snake_case      (		self	,   _lowerCAmelCase						)			->							Any:
     _lowerCAmelCase			=					''.join(snake_case_						)
     _lowerCAmelCase			=					bytearray([self.byte_decoder[c] for c in text]						).decode("utf-8"	,   errors=self.errors						)
     return text




 def 							_snake_case      (		self	,   _lowerCAmelCase	,   _lowerCAmelCase = None						)			->							int:

     if not os.path.isdir(snake_case_						):
         logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''						)
         return
     _lowerCAmelCase			=					os.path.join(
         snake_case_	,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)
     _lowerCAmelCase			=					os.path.join(
         snake_case_	,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]						)

     with open(snake_case_	,   "w"	,   encoding="utf-8"						) as f:
         f.write(json.dumps(self.encoder	,   indent=2	,   sort_keys=snake_case_	,   ensure_ascii=snake_case_						) + "\n"						)

     _lowerCAmelCase			=					0
     with open(snake_case_	,   "w"	,   encoding="utf-8"						) as writer:
         writer.write("#version: 0.2\n"						)
         for bpe_tokens, token_index in sorted(self.bpe_ranks.items()	,   key=lambda _lowerCAmelCase						: kv[1]						):
             if index != token_index:
                 logger.warning(
                     f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
                     " Please check that the tokenizer is not corrupted!"						)
                 _lowerCAmelCase			=					token_index
             writer.write(" ".join(snake_case_						) + "\n"						)
             index += 1

     return vocab_file, merge_file




 def 							_snake_case      (		self	,   _lowerCAmelCase	,   _lowerCAmelCase = None						)			->							Any:

     if token_ids_a is None:
         return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     _lowerCAmelCase			=					[self.cls_token_id]
     _lowerCAmelCase			=					[self.sep_token_id]
     return cls + token_ids_a + sep + sep + token_ids_a + sep




 def 							_snake_case      (		self	,   _lowerCAmelCase	,   _lowerCAmelCase = None	,   _lowerCAmelCase = False						)			->							Tuple:

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

     if token_ids_a is None:
         return [1] + ([0] * len(snake_case_						)) + [1]
     return [1] + ([0] * len(snake_case_						)) + [1, 1] + ([0] * len(snake_case_						)) + [1]




 def 							_snake_case      (		self	,   _lowerCAmelCase	,   _lowerCAmelCase = None						)			->							Any:
     _lowerCAmelCase			=					[self.sep_token_id]
     _lowerCAmelCase			=					[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]





 def 							_snake_case      (		self	,   _lowerCAmelCase	,   _lowerCAmelCase=False	,   **_lowerCAmelCase						)			->							Optional[int]:
     _lowerCAmelCase			=					kwargs.pop("add_prefix_space"	,   self.add_prefix_space						)
     if (is_split_into_words or add_prefix_space) and (len(snake_case_						) > 0 and not text[0].isspace()):
         _lowerCAmelCase			=					' ' + text
     return (text, kwargs)









"""simple docstring"""




from heapq import heappop, heappush

import numpy as np





def 						UpperCAmelCase__		(     _UpperCAmelCase ,					_UpperCAmelCase ,					_UpperCAmelCase ,					_UpperCAmelCase ,					):






  """simple docstring"""





  A_						,       A_  :       List[str]										=  grid.shape
  A_  :       Optional[int]										=  [-1, 1, 0, 0]
  A_  :       str										=  [0, 0, -1, 1]
  if allow_diagonal:
    dx += [-1, -1, 1, 1]
    dy += [-1, 1, -1, 1]

  A_						,       A_  :       List[Any]										=  [(0, source)], set()
  A_  :       Optional[Any]										=  np.full((rows, cols) ,					np.inf					)
  A_  :       int										=  0
  A_  :       Optional[int]										=  np.empty((rows, cols) ,					dtype=_UpperCAmelCase					)
  A_  :       Optional[int]										=  None

  while queue:
    ((A_)						,       (A_))  :       str										=  heappop(_UpperCAmelCase					)
    if (x, y) in visited:
      continue
    visited.add((x, y)					)

    if (x, y) == destination:
      A_  :       int										=  []
      while (x, y) != source:
        path.append((x, y)					)
        A_						,       A_  :       List[Any]										=  predecessors[x, y]
      path.append(_UpperCAmelCase					)  # add the source manually
      path.reverse()
      return matrix[destination], path

    for i in range(len(_UpperCAmelCase					)					):
      A_						,       A_  :       Tuple										=  x + dx[i], y + dy[i]
      if 0 <= nx < rows and 0 <= ny < cols:
        A_  :       Union[str, Any]										=  grid[nx][ny]
        if next_node == 1 and matrix[nx, ny] > dist + 1:
          heappush(_UpperCAmelCase ,					(dist + 1, (nx, ny))					)
          A_  :       Optional[Any]										=  dist + 1
          A_  :       Optional[Any]										=  (x, y)

  return np.inf, []


if __name__ == "__main__":
   import doctest

   doctest.testmod()