





"""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


lowerCamelCase_     :						str						=					logging.get_logger(__name__)


lowerCamelCase_     :						Union[str, Any]						=					{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all BART models at https://huggingface.co/models?filter=bart
lowerCamelCase_     :						Tuple						=					{
    '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',
    },
}

lowerCamelCase_     :						List[str]						=					{
    '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 						UpperCAmelCase__		(     ):






  """simple docstring"""





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





def 						UpperCAmelCase__		(     _UpperCAmelCase					):






  """simple docstring"""





  A_  :       Optional[Any]										=  set()
  A_  :       List[str]										=  word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)					)
    A_  :       Any										=  char
  return pairs





class  _UpperCAmelCase  (   UpperCAmelCase__		):



      '''simple docstring'''
      lowercase_      : List[Any]	    =   VOCAB_FILES_NAMES
      lowercase_      : List[str]	    =   PRETRAINED_VOCAB_FILES_MAP
      lowercase_      : Optional[int]	    =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowercase_      : Union[str, Any]	    =   ["""input_ids""", """attention_mask"""]

      def __init__(     self					,      snake_case_					,      snake_case_					,      snake_case_="replace"					,      snake_case_="<s>"					,      snake_case_="</s>"					,      snake_case_="</s>"					,      snake_case_="<s>"					,      snake_case_="<unk>"					,      snake_case_="<pad>"					,      snake_case_="<mask>"					,      snake_case_=False					,      **snake_case_					,      ):

        """simple docstring"""

        A_  :       List[str]										=  AddedToken(snake_case_					,      lstrip=snake_case_					,      rstrip=snake_case_  ) if isinstance(snake_case_					,      snake_case_  ) else bos_token
        A_  :       List[str]										=  AddedToken(snake_case_					,      lstrip=snake_case_					,      rstrip=snake_case_  ) if isinstance(snake_case_					,      snake_case_  ) else eos_token
        A_  :       List[Any]										=  AddedToken(snake_case_					,      lstrip=snake_case_					,      rstrip=snake_case_  ) if isinstance(snake_case_					,      snake_case_  ) else sep_token
        A_  :       int										=  AddedToken(snake_case_					,      lstrip=snake_case_					,      rstrip=snake_case_  ) if isinstance(snake_case_					,      snake_case_  ) else cls_token
        A_  :       List[Any]										=  AddedToken(snake_case_					,      lstrip=snake_case_					,      rstrip=snake_case_  ) if isinstance(snake_case_					,      snake_case_  ) else unk_token
        A_  :       List[Any]										=  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
        A_  :       Optional[int]										=  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:
          A_  :       List[Any]										=  json.load(snake_case_  )
        A_  :       Dict										=  {v: k for k, v in self.encoder.items()}
        A_  :       str										=  errors  # how to handle errors in decoding
        A_  :       List[str]										=  bytes_to_unicode()
        A_  :       Optional[int]										=  {v: k for k, v in self.byte_encoder.items()}
        with open(snake_case_					,      encoding='utf-8'  ) as merges_handle:
          A_  :       Dict										=  merges_handle.read().split('\n'  )[1:-1]
        A_  :       List[Any]										=  [tuple(merge.split()  ) for merge in bpe_merges]
        A_  :       List[Any]										=  dict(zip(snake_case_					,      range(len(snake_case_  )  )  )  )
        A_  :       Optional[int]										=  {}
        A_  :       Union[str, Any]										=  add_prefix_space

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

      @property
      def 					lowerCamelCase_			(     self  ):

        """simple docstring"""

        return len(self.encoder  )

      def 					lowerCamelCase_			(     self  ):

        """simple docstring"""

        return dict(self.encoder					,      **self.added_tokens_encoder  )

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

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

        if not pairs:
          return token

        while True:
          A_  :       Dict										=  min(snake_case_					,      key=lambda snake_case_  : self.bpe_ranks.get(snake_case_					,      float('inf'  )  )  )
          if bigram not in self.bpe_ranks:
            break
          A_						,       A_  :       Any										=  bigram
          A_  :       str										=  []
          A_  :       List[Any]										=  0
          while i < len(snake_case_  ):
            try:
              A_  :       Union[str, Any]										=  word.index(snake_case_					,      snake_case_  )
            except ValueError:
              new_word.extend(word[i:]  )
              break
            else:
              new_word.extend(word[i:j]  )
              A_  :       Union[str, Any]										=  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
          A_  :       int										=  tuple(snake_case_  )
          A_  :       str										=  new_word
          if len(snake_case_  ) == 1:
            break
          else:
            A_  :       Optional[Any]										=  get_pairs(snake_case_  )
        A_  :       List[Any]										=  ' '.join(snake_case_  )
        A_  :       Optional[int]										=  word
        return word

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        A_  :       Optional[Any]										=  []
        for token in re.findall(self.pat					,      snake_case_  ):
          A_  :       Optional[Any]										=  ''.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 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        return self.encoder.get(snake_case_					,      self.encoder.get(self.unk_token  )  )

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        return self.decoder.get(snake_case_  )

      def 					lowerCamelCase_			(     self					,      snake_case_  ):

        """simple docstring"""

        A_  :       List[Any]										=  ''.join(snake_case_  )
        A_  :       Optional[int]										=  bytearray([self.byte_decoder[c] for c in text]  ).decode('utf-8'					,      errors=self.errors  )
        return text

      def 					lowerCamelCase_			(     self					,      snake_case_					,      snake_case_ = None  ):

        """simple docstring"""

        if not os.path.isdir(snake_case_  ):
          logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""  )
          return
        A_  :       Union[str, Any]										=  os.path.join(
            snake_case_					,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']  )
        A_  :       Tuple										=  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'  )

        A_  :       Any										=  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 snake_case_  : 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!'  )
              A_  :       int										=  token_index
            writer.write(' '.join(snake_case_  ) + '\n'  )
            index += 1

        return vocab_file, merge_file

      def 					lowerCamelCase_			(     self					,      snake_case_					,      snake_case_ = None  ):

        """simple docstring"""

        if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        A_  :       str										=  [self.cls_token_id]
        A_  :       Optional[int]										=  [self.sep_token_id]
        return cls + token_ids_a + sep + sep + token_ids_a + sep

      def 					lowerCamelCase_			(     self					,      snake_case_					,      snake_case_ = None					,      snake_case_ = False  ):

        """simple docstring"""

        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 					lowerCamelCase_			(     self					,      snake_case_					,      snake_case_ = None  ):

        """simple docstring"""

        A_  :       Tuple										=  [self.sep_token_id]
        A_  :       Union[str, 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 + sep + token_ids_a + sep  ) * [0]

      def 					lowerCamelCase_			(     self					,      snake_case_					,      snake_case_=False					,      **snake_case_  ):

        """simple docstring"""

        A_  :       int										=  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()):
          A_  :       Optional[int]										=  ' ' + 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()