






"""simple docstring"""







from __future__ import annotations

_UpperCamelCase					      =  [
    [-1, 0],  # left
    [0, -1],  # down
    [1, 0],  # right
    [0, 1],  # up
]

def _a			(		_snake_case				,	_snake_case				,	_snake_case				,	_snake_case				,	_snake_case				,	):







      """simple docstring"""






      UpperCAmelCase          =	[
          [0 for col in range(len(grid[0]							)							)] for row in range(len(_snake_case							)							)
      ]  # the reference grid
      UpperCAmelCase          =	1
      UpperCAmelCase          =	[
          [0 for col in range(len(grid[0]							)							)] for row in range(len(_snake_case							)							)
      ]  # the action grid

      UpperCAmelCase          =	init[0]
      UpperCAmelCase          =	init[1]
      UpperCAmelCase          =	0
      UpperCAmelCase          =	g + heuristic[x][y]  # cost from starting cell to destination cell
      UpperCAmelCase          =	[[f, g, x, y]]

      UpperCAmelCase          =	False  # flag that is set when search is complete
      UpperCAmelCase          =	False  # flag set if we can't find expand

      while not found and not resign:
            if len(_snake_case							) == 0:
                  raise ValueError("""Algorithm is unable to find solution"""							)
            else:  # to choose the least costliest action so as to move closer to the goal
                  cell.sort()
                  cell.reverse()
                  UpperCAmelCase          =	cell.pop()
                  UpperCAmelCase          =	next_cell[2]
                  UpperCAmelCase          =	next_cell[3]
                  UpperCAmelCase          =	next_cell[1]

                  if x == goal[0] and y == goal[1]:
                        UpperCAmelCase          =	True
                  else:
                        for i in range(len(_snake_case							)							):  # to try out different valid actions
                              UpperCAmelCase          =	x + DIRECTIONS[i][0]
                              UpperCAmelCase          =	y + DIRECTIONS[i][1]
                              if xa >= 0 and xa < len(_snake_case							) and ya >= 0 and ya < len(grid[0]							):
                                    if closed[xa][ya] == 0 and grid[xa][ya] == 0:
                                          UpperCAmelCase          =	g + cost
                                          UpperCAmelCase          =	ga + heuristic[xa][ya]
                                          cell.append([fa, ga, xa, ya]							)
                                          UpperCAmelCase          =	1
                                          UpperCAmelCase          =	i
      UpperCAmelCase          =	[]
      UpperCAmelCase          =	goal[0]
      UpperCAmelCase          =	goal[1]
      invpath.append([x, y]							)  # we get the reverse path from here
      while x != init[0] or y != init[1]:
            UpperCAmelCase          =	x - DIRECTIONS[action[x][y]][0]
            UpperCAmelCase          =	y - DIRECTIONS[action[x][y]][1]
            UpperCAmelCase          =	xa
            UpperCAmelCase          =	ya
            invpath.append([x, y]							)

      UpperCAmelCase          =	[]
      for i in range(len(_snake_case							)							):
            path.append(invpath[len(_snake_case							) - 1 - i]							)
      return path, action


if __name__ == "__main__":
  _UpperCamelCase					      =  [
      [0, 1, 0, 0, 0, 0],
      [0, 1, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
      [0, 1, 0, 0, 0, 0],
      [0, 1, 0, 0, 1, 0],
      [0, 0, 0, 0, 1, 0],
  ]

  _UpperCamelCase					      =  [0, 0]
  # all coordinates are given in format [y,x]
  _UpperCamelCase					      =  [len(grid) - 1, len(grid[0]) - 1]
  _UpperCamelCase					      =  1

  # the cost map which pushes the path closer to the goal
  _UpperCamelCase					      =  [[0 for row in range(len(grid[0]))] for col in range(len(grid))]
  for i in range(len(grid)):
    for j in range(len(grid[0])):
      _UpperCamelCase					      =  abs(i - goal[0]) + abs(j - goal[1])
      if grid[i][j] == 1:
        # added extra penalty in the heuristic map
        _UpperCamelCase					      =  99

  _UpperCamelCase					      =  search(grid, init, goal, cost, heuristic)

  print("""ACTION MAP""")
  for i in range(len(action)):
    print(action[i])

  for i in range(len(path)):
    print(path[i])











"""simple docstring"""







import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_pegasus import PegasusTokenizer
else:
  _UpperCamelCase					      =  None


_UpperCamelCase					      =  logging.get_logger(__name__)


_UpperCamelCase					      =  """▁"""

_UpperCamelCase					      =  {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

_UpperCamelCase					      =  {
    """vocab_file""": {"""google/pegasus-xsum""": """https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model"""},
    """tokenizer_file""": {
        """google/pegasus-xsum""": """https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json"""
    },
}

_UpperCamelCase					      =  {
    """google/pegasus-xsum""": 512,
}







class  lowerCamelCase__ (	snake_case			):
    SCREAMING_SNAKE_CASE		=      VOCAB_FILES_NAMES
    SCREAMING_SNAKE_CASE		=      PRETRAINED_VOCAB_FILES_MAP
    SCREAMING_SNAKE_CASE		=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    SCREAMING_SNAKE_CASE		=      PegasusTokenizer
    SCREAMING_SNAKE_CASE		=      ['''input_ids''', '''attention_mask''']






    def __init__(			self     ,A=None     ,A=None     ,A="<pad>"     ,A="</s>"     ,A="<unk>"     ,A="<mask_2>"     ,A="<mask_1>"     ,A=None     ,A=103     ,**A     ,):
          UpperCAmelCase          =	offset

          if additional_special_tokens is not None:
                if not isinstance(A     ,A ):
                      raise TypeError(
                          F'''additional_special_tokens should be of type {type(A )}, but is'''
                          F''' {type(A )}''' )

                UpperCAmelCase          =	(
                    ([mask_token_sent] + additional_special_tokens)
                    if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
                    else additional_special_tokens
                )
                # fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
                additional_special_tokens_extended += [
                    F'''<unk_{i}>''' for i in range(len(A )     ,self.offset - 1 )
                ]

                if len(set(A ) ) != len(A ):
                      raise ValueError(
                          """Please make sure that the provided additional_special_tokens do not contain an incorrectly"""
                          F''' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.''' )
                UpperCAmelCase          =	additional_special_tokens_extended
          else:
                UpperCAmelCase          =	[mask_token_sent] if mask_token_sent is not None else []
                additional_special_tokens += [F'''<unk_{i}>''' for i in range(2     ,self.offset )]

          super().__init__(
              A     ,tokenizer_file=A     ,pad_token=A     ,eos_token=A     ,unk_token=A     ,mask_token=A     ,mask_token_sent=A     ,offset=A     ,additional_special_tokens=A     ,**A     ,)
          UpperCAmelCase          =	vocab_file
          UpperCAmelCase          =	False if not self.vocab_file else True






    def     _UpperCamelCase							(			self     ,A ):
          UpperCAmelCase          =	set(self.all_special_ids )  # call it once instead of inside list comp
          all_special_ids.remove(self.unk_token_id )  # <unk> is only sometimes special

          if all_special_ids != set(range(len(self.additional_special_tokens ) + 3 ) ):
                raise ValueError(
                    """There should be 3 special tokens: mask_token, pad_token, and eos_token +"""
                    F''' {len(self.additional_special_tokens )} additional_special_tokens, but got {all_special_ids}''' )

          return [1 if x in all_special_ids else 0 for x in seq]






    def     _UpperCamelCase							(			self     ,A     ,A = None     ,A = False ):
          if already_has_special_tokens:
                return self._special_token_mask(A )
          elif token_ids_a is None:
                return self._special_token_mask(A ) + [1]
          else:
                return self._special_token_mask(token_ids_a + token_ids_a ) + [1]






    def     _UpperCamelCase							(			self     ,A     ,A=None ):
          if token_ids_a is None:
                return token_ids_a + [self.eos_token_id]
          # We don't expect to process pairs, but leave the pair logic for API consistency
          return token_ids_a + token_ids_a + [self.eos_token_id]






    def     _UpperCamelCase							(			self     ,A     ,A = None ):
          if not self.can_save_slow_tokenizer:
                raise ValueError(
                    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                    """tokenizer.""" )

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

          if os.path.abspath(self.vocab_file ) != os.path.abspath(A ):
                copyfile(self.vocab_file     ,A )

          return (out_vocab_file,)



