




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

import regex as re

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


if TYPE_CHECKING:
     from transformers.pipelines.conversational import Conversation

lowerCAmelCase_					    = logging.get_logger(__name__)


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

lowerCAmelCase_					    = {
    """vocab_file""": {"""facebook/blenderbot-3B""": """https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json"""},
    """merges_file""": {"""facebook/blenderbot-3B""": """https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt"""},
    """tokenizer_config_file""": {
        """facebook/blenderbot-3B""": """https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json"""
    },
}

lowerCAmelCase_					    = {"""facebook/blenderbot-3B""": 1_28}



@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def      __lowerCAmelCase			(					)     ->	Dict:
  lowerCAmelCase__				:  Any		       =     (
      list(range(ord('''!'''      )	,      ord('''~'''      ) + 1      )      ) + list(range(ord('''¡'''      )	,      ord('''¬'''      ) + 1      )      ) + list(range(ord('''®'''      )	,      ord('''ÿ'''      ) + 1      )      )
  )
  lowerCAmelCase__				:  List[Any]		       =     bs[:]
  lowerCAmelCase__				:  Optional[Any]		       =     0
  for b in range(2**8      ):
    if b not in bs:
      bs.append(UpperCamelCase      )
      cs.append(2**8 + n      )
      n += 1
  lowerCAmelCase__				:  List[str]		       =     [chr(UpperCamelCase      ) for n in cs]
  return dict(zip(UpperCamelCase	,      UpperCamelCase      )      )



def      __lowerCAmelCase			(					UpperCamelCase      )     ->	Optional[Any]:
  lowerCAmelCase__				:  Dict		       =     set()
  lowerCAmelCase__				:  Union[str, Any]		       =     word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)      )
    lowerCAmelCase__				:  List[Any]		       =     char
  return pairs






class  _lowerCAmelCase     (  _lowercase	):
      A__		     =		VOCAB_FILES_NAMES
      A__		     =		PRETRAINED_VOCAB_FILES_MAP
      A__		     =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      A__		     =		['input_ids', 'attention_mask']

      def __init__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase      ,				__UpperCAmelCase="replace"      ,				__UpperCAmelCase="<s>"      ,				__UpperCAmelCase="</s>"      ,				__UpperCAmelCase="</s>"      ,				__UpperCAmelCase="<s>"      ,				__UpperCAmelCase="<unk>"      ,				__UpperCAmelCase="<pad>"      ,				__UpperCAmelCase="<mask>"      ,				__UpperCAmelCase=False      ,				**__UpperCAmelCase      ,				):
        lowerCAmelCase__				:  int		       =     AddedToken(__UpperCAmelCase      ,				lstrip=__UpperCAmelCase      ,				rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase      ,				__UpperCAmelCase		) else bos_token
        lowerCAmelCase__				:  Tuple		       =     AddedToken(__UpperCAmelCase      ,				lstrip=__UpperCAmelCase      ,				rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase      ,				__UpperCAmelCase		) else eos_token
        lowerCAmelCase__				:  Optional[int]		       =     AddedToken(__UpperCAmelCase      ,				lstrip=__UpperCAmelCase      ,				rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase      ,				__UpperCAmelCase		) else sep_token
        lowerCAmelCase__				:  List[str]		       =     AddedToken(__UpperCAmelCase      ,				lstrip=__UpperCAmelCase      ,				rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase      ,				__UpperCAmelCase		) else cls_token
        lowerCAmelCase__				:  Union[str, Any]		       =     AddedToken(__UpperCAmelCase      ,				lstrip=__UpperCAmelCase      ,				rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase      ,				__UpperCAmelCase		) else unk_token
        lowerCAmelCase__				:  Dict		       =     AddedToken(__UpperCAmelCase      ,				lstrip=__UpperCAmelCase      ,				rstrip=__UpperCAmelCase		) if isinstance(__UpperCAmelCase      ,				__UpperCAmelCase		) else pad_token

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

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

        with open(__UpperCAmelCase      ,				encoding='''utf-8'''		) as vocab_handle:
          lowerCAmelCase__				:  Union[str, Any]		       =     json.load(__UpperCAmelCase		)
        lowerCAmelCase__				:  Optional[Any]		       =     {v: k for k, v in self.encoder.items()}
        lowerCAmelCase__				:  Any		       =     errors  # how to handle errors in decoding
        lowerCAmelCase__				:  Dict		       =     bytes_to_unicode()
        lowerCAmelCase__				:  List[str]		       =     {v: k for k, v in self.byte_encoder.items()}
        with open(__UpperCAmelCase      ,				encoding='''utf-8'''		) as merges_handle:
          lowerCAmelCase__				:  Optional[int]		       =     merges_handle.read().split('''\n'''		)[1:-1]
        lowerCAmelCase__				:  str		       =     [tuple(merge.split()		) for merge in bpe_merges]
        lowerCAmelCase__				:  Dict		       =     dict(zip(__UpperCAmelCase      ,				range(len(__UpperCAmelCase		)		)		)		)
        lowerCAmelCase__				:  str		       =     {}
        lowerCAmelCase__				:  Dict		       =     add_prefix_space

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

      @property
      # Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
      def 	__magic_name__(   self		):
        return len(self.encoder		)

      def 	__magic_name__(   self		):
        return dict(self.encoder      ,				**self.added_tokens_encoder		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        if token in self.cache:
          return self.cache[token]
        lowerCAmelCase__				:  Dict		       =     tuple(__UpperCAmelCase		)
        lowerCAmelCase__				:  Tuple		       =     get_pairs(__UpperCAmelCase		)

        if not pairs:
          return token

        while True:
          lowerCAmelCase__				:  Tuple		       =     min(__UpperCAmelCase      ,				key=lambda __UpperCAmelCase		: self.bpe_ranks.get(__UpperCAmelCase      ,				float('''inf'''		)		)		)
          if bigram not in self.bpe_ranks:
            break
          lowerCAmelCase__       ,			lowerCAmelCase__				:  Any		       =     bigram
          lowerCAmelCase__				:  Any		       =     []
          lowerCAmelCase__				:  Optional[int]		       =     0
          while i < len(__UpperCAmelCase		):
            try:
              lowerCAmelCase__				:  List[str]		       =     word.index(__UpperCAmelCase      ,				__UpperCAmelCase		)
            except ValueError:
              new_word.extend(word[i:]		)
              break
            else:
              new_word.extend(word[i:j]		)
              lowerCAmelCase__				:  Optional[Any]		       =     j

            if word[i] == first and i < len(__UpperCAmelCase		) - 1 and word[i + 1] == second:
              new_word.append(first + second		)
              i += 2
            else:
              new_word.append(word[i]		)
              i += 1
          lowerCAmelCase__				:  int		       =     tuple(__UpperCAmelCase		)
          lowerCAmelCase__				:  Dict		       =     new_word
          if len(__UpperCAmelCase		) == 1:
            break
          else:
            lowerCAmelCase__				:  int		       =     get_pairs(__UpperCAmelCase		)
        lowerCAmelCase__				:  Tuple		       =     ''' '''.join(__UpperCAmelCase		)
        lowerCAmelCase__				:  Optional[int]		       =     word
        return word

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Any		       =     []
        for token in re.findall(self.pat      ,				__UpperCAmelCase		):
          lowerCAmelCase__				:  List[str]		       =     ''''''.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(__UpperCAmelCase		).split(''' '''		)		)
        return bpe_tokens

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        return self.encoder.get(__UpperCAmelCase      ,				self.encoder.get(self.unk_token		)		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        return self.decoder.get(__UpperCAmelCase		)

      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  str		       =     ''''''.join(__UpperCAmelCase		)
        lowerCAmelCase__				:  int		       =     bytearray([self.byte_decoder[c] for c in text]		).decode('''utf-8'''      ,				errors=self.errors		)
        return text

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        if not os.path.isdir(__UpperCAmelCase		):
          logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""		)
          return
        lowerCAmelCase__				:  Tuple		       =     os.path.join(
            __UpperCAmelCase      ,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)
        lowerCAmelCase__				:  Dict		       =     os.path.join(
            __UpperCAmelCase      ,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']		)

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

        lowerCAmelCase__				:  Dict		       =     0
        with open(__UpperCAmelCase      ,				'''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 __UpperCAmelCase		: 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__				:  str		       =     token_index
            writer.write(''' '''.join(__UpperCAmelCase		) + '''\n'''		)
            index += 1

        return vocab_file, merge_file

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None      ,				__UpperCAmelCase = False		):
        if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=__UpperCAmelCase      ,				token_ids_a=__UpperCAmelCase      ,				already_has_special_tokens=__UpperCAmelCase		)

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

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        lowerCAmelCase__				:  Any		       =     [self.sep_token_id]
        lowerCAmelCase__				:  Tuple		       =     [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 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase=False      ,				**__UpperCAmelCase		):
        lowerCAmelCase__				:  List[Any]		       =     kwargs.pop('''add_prefix_space'''      ,				self.add_prefix_space		)
        if (is_split_into_words or add_prefix_space) and (len(__UpperCAmelCase		) > 0 and not text[0].isspace()):
          lowerCAmelCase__				:  Union[str, Any]		       =     ''' ''' + text
        return (text, kwargs)

      def 	__magic_name__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase = None		):
        return token_ids_a + [self.eos_token_id]







      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Dict		       =     []
        for is_user, text in conversation.iter_texts():
          if is_user:
            # We need to space prefix as it's being done within blenderbot
            inputs.append(''' ''' + text		)
          else:
            # Generated responses should contain them already.
            inputs.append(__UpperCAmelCase		)

        lowerCAmelCase__				:  Dict		       =     '''  '''.join(__UpperCAmelCase		)
        lowerCAmelCase__				:  List[str]		       =     self.encode(__UpperCAmelCase		)
        if len(__UpperCAmelCase		) > self.model_max_length:
          lowerCAmelCase__				:  List[Any]		       =     input_ids[-self.model_max_length :]
          logger.warning(f"""Trimmed input from conversation as it was longer than {self.model_max_length} tokens."""		)
        return input_ids







import numpy as np






class  _lowerCAmelCase     :

      def __init__(   self		):
        lowerCAmelCase__				:  List[Any]		       =     (0, 0)
        lowerCAmelCase__				:  Optional[int]		       =     None
        lowerCAmelCase__				:  Optional[Any]		       =     0
        lowerCAmelCase__				:  Optional[int]		       =     0
        lowerCAmelCase__				:  Tuple		       =     0

      def __eq__(   self      ,				__UpperCAmelCase		):
        return self.position == cell.position







      def 	__magic_name__(   self		):
        print(self.position		)






class  _lowerCAmelCase     :

      def __init__(   self      ,				__UpperCAmelCase=(5, 5)		):
        lowerCAmelCase__				:  List[str]		       =     np.zeros(__UpperCAmelCase		)
        lowerCAmelCase__				:  List[Any]		       =     world_size[0]
        lowerCAmelCase__				:  str		       =     world_size[1]

      def 	__magic_name__(   self		):
        print(self.w		)







      def 	__magic_name__(   self      ,				__UpperCAmelCase		):
        lowerCAmelCase__				:  Optional[Any]		       =     [
            (-1, -1),
            (-1, 0),
            (-1, 1),
            (0, -1),
            (0, 1),
            (1, -1),
            (1, 0),
            (1, 1),
        ]
        lowerCAmelCase__				:  Tuple		       =     cell.position[0]
        lowerCAmelCase__				:  Optional[int]		       =     cell.position[1]
        lowerCAmelCase__				:  Any		       =     []
        for n in neughbour_cord:
          lowerCAmelCase__				:  int		       =     current_x + n[0]
          lowerCAmelCase__				:  Dict		       =     current_y + n[1]
          if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
            lowerCAmelCase__				:  Optional[int]		       =     Cell()
            lowerCAmelCase__				:  Optional[int]		       =     (x, y)
            lowerCAmelCase__				:  Any		       =     cell
            neighbours.append(__UpperCAmelCase		)
        return neighbours



def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase      )     ->	Union[str, Any]:
  lowerCAmelCase__				:  int		       =     []
  lowerCAmelCase__				:  int		       =     []
  _open.append(UpperCamelCase      )

  while _open:
    lowerCAmelCase__				:  Dict		       =     np.argmin([n.f for n in _open]      )
    lowerCAmelCase__				:  Dict		       =     _open[min_f]
    _closed.append(_open.pop(UpperCamelCase      )      )
    if current == goal:
      break
    for n in world.get_neigbours(UpperCamelCase      ):
      for c in _closed:
        if c == n:
          continue
      lowerCAmelCase__				:  Any		       =     current.g + 1
      lowerCAmelCase__       ,			lowerCAmelCase__				:  int		       =     n.position
      lowerCAmelCase__       ,			lowerCAmelCase__				:  Union[str, Any]		       =     goal.position
      lowerCAmelCase__				:  Tuple		       =     (ya - ya) ** 2 + (xa - xa) ** 2
      lowerCAmelCase__				:  Optional[Any]		       =     n.h + n.g

      for c in _open:
        if c == n and c.f < n.f:
          continue
      _open.append(UpperCamelCase      )
  lowerCAmelCase__				:  List[Any]		       =     []
  while current.parent is not None:
    path.append(current.position      )
    lowerCAmelCase__				:  List[Any]		       =     current.parent
  path.append(current.position      )
  return path[::-1]


if __name__ == "__main__":
     lowerCAmelCase_					    = Gridworld()
     # Start position and goal
     lowerCAmelCase_					    = Cell()
     lowerCAmelCase_					    = (0, 0)
     lowerCAmelCase_					    = Cell()
     lowerCAmelCase_					    = (4, 4)
     print(F"""path from {start.position} to {goal.position}""")
     lowerCAmelCase_					    = astar(world, start, goal)
     #   Just for visual reasons.
     for i in s:
          lowerCAmelCase_					    = 1
     print(world.w)

