
import numpy as np
class 					lowercase__:



	"""simple docstring"""




	def __init__(			self    :     List[str]			)			->	str:
					lowercase_	    =   (0, 0)
					lowercase_	    =   None
					lowercase_	    =   0
					lowercase_	    =   0
					lowercase_	    =   0
	def __eq__(			self    :     Dict			,				SCREAMING_SNAKE_CASE_    :     int			)			->	int:
					return self.position == cell.position




	def 		_lowercase    (			self    :     Union[str, Any]			)			->	str:
					print(self.position			)

class 					lowercase__:



	"""simple docstring"""




	def __init__(			self    :     Optional[Any]			,				SCREAMING_SNAKE_CASE_    :     Dict=(5, 5)			)			->	str:
					lowercase_	    =   np.zeros(SCREAMING_SNAKE_CASE_			)
					lowercase_	    =   world_size[0]
					lowercase_	    =   world_size[1]
	def 		_lowercase    (			self    :     Optional[Any]			)			->	Optional[Any]:
					print(self.w			)




	def 		_lowercase    (			self    :     List[str]			,				SCREAMING_SNAKE_CASE_    :     Any			)			->	List[str]:
					lowercase_	    =   [
					    (-1, -1),
					    (-1, 0),
					    (-1, 1),
					    (0, -1),
					    (0, 1),
					    (1, -1),
					    (1, 0),
					    (1, 1),
					]
					lowercase_	    =   cell.position[0]
					lowercase_	    =   cell.position[1]
					lowercase_	    =   []
					for n in neughbour_cord:
									lowercase_	    =   current_x + n[0]
									lowercase_	    =   current_y + n[1]
									if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
													lowercase_	    =   Cell()
													lowercase_	    =   (x, y)
													lowercase_	    =   cell
													neighbours.append(SCREAMING_SNAKE_CASE_			)
					return neighbours




def 							a		(				snake_case__:   str		,  snake_case__:   List[Any]		,  snake_case__:   Union[str, Any]   ):


				'''simple docstring'''
				lowercase_	    =   []
				lowercase_	    =   []
				_open.append(snake_case__   )

				while _open:
								lowercase_	    =   np.argmin([n.f for n in _open]   )
								lowercase_	    =   _open[min_f]
								_closed.append(_open.pop(snake_case__   )   )
								if current == goal:
												break
								for n in world.get_neigbours(snake_case__   ):
												for c in _closed:
																if c == n:
																				continue
												lowercase_	    =   current.g + 1
												lowercase_    ,      lowercase_	    =   n.position
												lowercase_    ,      lowercase_	    =   goal.position
												lowercase_	    =   (ya - ya) ** 2 + (xa - xa) ** 2
												lowercase_	    =   n.h + n.g

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


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












"""simple docstring"""





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


__lowerCamelCase							=  logging.get_logger(__name__)

__lowerCamelCase							=  {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

__lowerCamelCase							=  {
    'vocab_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt'
        ),
        'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt',
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli': (
            'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json'
        ),
    },
}

__lowerCamelCase							=  {
    'squeezebert/squeezebert-uncased': 5_12,
    'squeezebert/squeezebert-mnli': 5_12,
    'squeezebert/squeezebert-mnli-headless': 5_12,
}


__lowerCamelCase							=  {
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}



class       __A		(   SCREAMING_SNAKE_CASE_			):
					UpperCAmelCase__								=				VOCAB_FILES_NAMES
					UpperCAmelCase__								=				PRETRAINED_VOCAB_FILES_MAP
					UpperCAmelCase__								=				PRETRAINED_INIT_CONFIGURATION
					UpperCAmelCase__								=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					UpperCAmelCase__								=				SqueezeBertTokenizer

					def __init__(			self  :      Tuple     ,		__snake_case  :      str=None     ,		__snake_case  :      Optional[Any]=None     ,		__snake_case  :      str=True     ,		__snake_case  :      str="[UNK]"     ,		__snake_case  :      int="[SEP]"     ,		__snake_case  :      int="[PAD]"     ,		__snake_case  :      Any="[CLS]"     ,		__snake_case  :      List[Any]="[MASK]"     ,		__snake_case  :      Union[str, Any]=True     ,		__snake_case  :      Dict=None     ,		**__snake_case  :      str     ,		)			->							List[Any]:
											super().__init__(
											    __snake_case     ,		tokenizer_file=__snake_case     ,		do_lower_case=__snake_case     ,		unk_token=__snake_case     ,		sep_token=__snake_case     ,		pad_token=__snake_case     ,		cls_token=__snake_case     ,		mask_token=__snake_case     ,		tokenize_chinese_chars=__snake_case     ,		strip_accents=__snake_case     ,		**__snake_case     ,		)

											__magic_name__:	List[Any]							=       json.loads(self.backend_tokenizer.normalizer.__getstate__()					)
											if (
											    normalizer_state.get("""lowercase"""     ,		__snake_case					) != do_lower_case
											    or normalizer_state.get("""strip_accents"""     ,		__snake_case					) != strip_accents
											    or normalizer_state.get("""handle_chinese_chars"""     ,		__snake_case					) != tokenize_chinese_chars
											):
																	__magic_name__:	Dict							=       getattr(__snake_case     ,		normalizer_state.pop("""type"""					)					)
																	__magic_name__:	Optional[Any]							=       do_lower_case
																	__magic_name__:	Any							=       strip_accents
																	__magic_name__:	Any							=       tokenize_chinese_chars
																	__magic_name__:	Union[str, Any]							=       normalizer_class(**__snake_case					)

											__magic_name__:	Optional[Any]							=       do_lower_case

					def   lowerCamelCase__   (			self  :      Optional[Any]     ,		__snake_case  :      List[Any]     ,		__snake_case  :      int=None					)			->							Optional[int]:
											__magic_name__:	int							=       [self.cls_token_id] + token_ids_a + [self.sep_token_id]

											if token_ids_a:
																	output += token_ids_a + [self.sep_token_id]

											return output

					def   lowerCamelCase__   (			self  :      Any     ,		__snake_case  :      List[int]     ,		__snake_case  :      Optional[List[int]] = None					)			->							List[int]:
											__magic_name__:	Dict							=       [self.sep_token_id]
											__magic_name__:	List[str]							=       [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					) * [0] + len(token_ids_a + sep					) * [1]






					def   lowerCamelCase__   (			self  :      Dict     ,		__snake_case  :      str     ,		__snake_case  :      Optional[str] = None					)			->							Tuple[str]:
											__magic_name__:	Any							=       self._tokenizer.model.save(__snake_case     ,		name=__snake_case					)
											return tuple(__snake_case					)



