


'''simple docstring'''




import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__snake_case    						=logging.get_logger(__name__)


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

__snake_case    						={
    "vocab_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json"
        ),
    },
    "tokenizer_config_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json"
        ),
    },
    "merges_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt"
        ),
    },
}

__snake_case    						="</w>"
__snake_case    						="@@ "





def 	a_					( lowerCamelCase	:     Tuple				):
   lowerCAmelCase     =			set()
   lowerCAmelCase     =			word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)				)
      lowerCAmelCase     =			char
   return pairs


# Speech2Text2 has no max input length
__snake_case    						={"facebook/s2t-wav2vec2-large-en-de": 1_024}




class 		UpperCAmelCase_      (  UpperCAmelCase__		):
     lowerCamelCase				:	List[Any]		=     VOCAB_FILES_NAMES
     lowerCamelCase				:	Optional[Any]		=     PRETRAINED_VOCAB_FILES_MAP
     lowerCamelCase				:	Tuple		=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCamelCase				:	List[str]		=     ['''input_ids''', '''attention_mask''']





     def __init__( self       :      Optional[int]    ,      UpperCAmelCase__       :      Optional[Any]    ,      UpperCAmelCase__       :      List[str]="<s>"    ,      UpperCAmelCase__       :      int="<pad>"    ,      UpperCAmelCase__       :      Dict="</s>"    ,      UpperCAmelCase__       :      List[Any]="<unk>"    ,      UpperCAmelCase__       :      List[Any]=False    ,      UpperCAmelCase__       :      Dict=None    ,      **UpperCAmelCase__       :      List[str]    ,      )				->  str:
        super().__init__(
            unk_token=__lowercase    ,      bos_token=__lowercase    ,      eos_token=__lowercase    ,      pad_token=__lowercase    ,      do_lower_case=__lowercase    ,      **__lowercase    ,      )

        lowerCAmelCase     =			do_lower_case

        with open(__lowercase    ,      encoding='utf-8'    ) as vocab_handle:
           lowerCAmelCase     =			json.load(__lowercase    )
        lowerCAmelCase     =			{v: k for k, v in self.encoder.items()}

        if merges_file is None:
           logger.info(F'''No merges files provided. {self.__class__.__name__} can only be used for decoding.'''    )

           lowerCAmelCase     =			None
           lowerCAmelCase     =			None
        else:
           with open(__lowercase    ,      encoding='utf-8'    ) as merges_handle:
              lowerCAmelCase     =			merges_handle.read().split('\n'    )[:-1]

           lowerCAmelCase     =			[tuple(merge.split()[:2]    ) for merge in merges]
           lowerCAmelCase     =			dict(zip(__lowercase    ,      range(len(__lowercase    )    )    )    )
           lowerCAmelCase     =			{}





     @property
     def 							__UpperCAmelCase      ( self       :      List[str]    )				->  Any:
        return len(self.decoder    )





     def 							__UpperCAmelCase      ( self       :      Optional[Any]    )				->  List[str]:
        return dict(self.encoder    ,      **self.added_tokens_encoder    )





     def 							__UpperCAmelCase      ( self       :      Tuple    ,      UpperCAmelCase__       :      Dict    )				->  str:
        lowerCAmelCase     =			tuple(token[:-1]    ) + (token[-1] + BPE_TOKEN_MERGES,)
        if token in self.cache:
           return self.cache[token]
        lowerCAmelCase     =			get_pairs(__lowercase    )

        if not pairs:
           return token

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

              if word[i] == first and i < len(__lowercase    ) - 1 and word[i + 1] == second:
                 new_word.append(first + second    )
                 i += 2
              else:
                 new_word.append(word[i]    )
                 i += 1
           lowerCAmelCase     =			tuple(__lowercase    )
           lowerCAmelCase     =			new_word
           if len(__lowercase    ) == 1:
              break
           else:
              lowerCAmelCase     =			get_pairs(__lowercase    )
        lowerCAmelCase     =			' '.join(__lowercase    )
        if word == "\n  " + BPE_TOKEN_MERGES:
           lowerCAmelCase     =			'\n' + BPE_TOKEN_MERGES

        if word.endswith(__lowercase    ):
           lowerCAmelCase     =			word.replace(__lowercase    ,      ''    )

        lowerCAmelCase     =			word.replace(' '    ,      __lowercase    )
        lowerCAmelCase     =			word
        return word





     def 							__UpperCAmelCase      ( self       :      str    ,      UpperCAmelCase__       :      Dict    )				->  Dict:






        if self.bpe_ranks is None:
           raise ValueError(
               'This tokenizer was instantiated without a `merges.txt` file, so'
               ' that it can only be used for decoding, not for encoding.'
               'Make sure to provide `merges.txt` file at instantiation to enable '
               'encoding.'    )

        if self.do_lower_case:
           lowerCAmelCase     =			text.lower()

        lowerCAmelCase     =			text.split()

        lowerCAmelCase     =			[]
        for token in text:
           if token:
              split_tokens.extend(list(self.bpe(__lowercase    ).split(' '    )    )    )

        return split_tokens





     def 							__UpperCAmelCase      ( self       :      int    ,      UpperCAmelCase__       :      str    )				->  Any:
        return self.encoder.get(__lowercase    ,      self.encoder.get(self.unk_token    )    )





     def 							__UpperCAmelCase      ( self       :      Optional[int]    ,      UpperCAmelCase__       :      int    )				->  Union[str, Any]:
        lowerCAmelCase     =			self.decoder.get(__lowercase    ,      self.unk_token    )
        return result





     def 							__UpperCAmelCase      ( self       :      List[str]    ,      UpperCAmelCase__       :      List[str]    )				->  Optional[int]:
        lowerCAmelCase     =			' '.join(__lowercase    )

        # make sure @@ tokens are concatenated
        lowerCAmelCase     =			''.join(string.split(__lowercase    )    )

        return string





     def 							__UpperCAmelCase      ( self       :      Optional[Any]    ,      UpperCAmelCase__       :      str    ,      UpperCAmelCase__       :      Optional[str] = None    )				->  Optional[Any]:






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

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

        lowerCAmelCase     =			0
        if self.bpe_ranks is None:
           return (vocab_file,)

        with open(__lowercase    ,      'w'    ,      encoding='utf-8'    ) as writer:
           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 {merges_file}: BPE merge indices are not consecutive.'''
                     ' Please check that the tokenizer is not corrupted!'    )
                 lowerCAmelCase     =			token_index
              writer.write(' '.join(__lowercase    ) + '\n'    )
              index += 1

        return (vocab_file, merges_file)











from __future__ import annotations

lowercase__				:     str 		=						[
    [-1, 0],  # left
    [0, -1],  # down
    [1, 0],  # right
    [0, 1],  # up
]


def 						lowerCamelCase__    (		_A     ,	_A     ,	_A     ,	_A     ,	_A     ,	):







	'''simple docstring'''





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

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

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

	while not found and not resign:
		if len(_A							) == 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()
			snake_case_		    =     cell.pop()
			snake_case_		    =     next_cell[2]
			snake_case_		    =     next_cell[3]
			snake_case_		    =     next_cell[1]

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

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


if __name__ == "__main__":
		lowercase__				:     Union[str, Any] 		=						[
		    [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],
		]

		lowercase__				:     Optional[Any] 		=						[0, 0]
		# all coordinates are given in format [y,x]
		lowercase__				:     Tuple 		=						[len(grid) - 1, len(grid[0]) - 1]
		lowercase__				:     Dict 		=						1

		# the cost map which pushes the path closer to the goal
		lowercase__				:     Any 		=						[[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])):
						lowercase__				:     Union[str, Any] 		=						abs(i - goal[0]) + abs(j - goal[1])
						if grid[i][j] == 1:
								# added extra penalty in the heuristic map
								lowercase__				:     int 		=						99

		lowercase__		,       lowercase__				:     Tuple 		=						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])
