from __future__ import annotations

__lowerCamelCase					:	List[Any]       =  list[tuple[int, int]]

__lowerCamelCase					:	List[Any]       =  [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

__lowerCamelCase					:	Union[str, Any]       =  ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right






class 		a__						:

					def __init__(    self      :       List[Any],_A      :       int,_A      :       int,_A      :       int,_A      :       int,_A      :       float,_A      :       Node | None,):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		str				      =    pos_x
							SCREAMING_SNAKE_CASE_  :		Any				      =    pos_y
							SCREAMING_SNAKE_CASE_  :		str				      =    (pos_y, pos_x)
							SCREAMING_SNAKE_CASE_  :		Tuple				      =    goal_x
							SCREAMING_SNAKE_CASE_  :		Any				      =    goal_y
							SCREAMING_SNAKE_CASE_  :		str				      =    g_cost
							SCREAMING_SNAKE_CASE_  :		str				      =    parent
							SCREAMING_SNAKE_CASE_  :		Dict				      =    self.calculate_heuristic()

					def 				__UpperCamelCase   (    self      :       int    ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Any				      =    abs(self.pos_x - self.goal_x    )
							SCREAMING_SNAKE_CASE_  :		Optional[Any]				      =    abs(self.pos_y - self.goal_y    )
							return dx + dy






					def __lt__(    self      :       Union[str, Any],_A      :       Tuple    ):







							"""simple docstring"""






							return self.f_cost < other.f_cost







class 		a__						:

					def __init__(    self      :       Optional[int],_A      :       tuple[int, int],_A      :       tuple[int, int]    ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		List[str]				      =    Node(start[1],start[0],goal[1],goal[0],0,_A    )
							SCREAMING_SNAKE_CASE_  :		List[str]				      =    Node(goal[1],goal[0],goal[1],goal[0],9_9999,_A    )

							SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    [self.start]
							SCREAMING_SNAKE_CASE_  :		list[Node]				      =    []

							SCREAMING_SNAKE_CASE_  :		Dict				      =    False

					def 				__UpperCamelCase   (    self      :       str    ):







							"""simple docstring"""






							while self.open_nodes:
									# Open Nodes are sorted using __lt__
									self.open_nodes.sort()
									SCREAMING_SNAKE_CASE_  :		List[str]				      =    self.open_nodes.pop(0    )

									if current_node.pos == self.target.pos:
											SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    True
											return self.retrace_path(_A    )

									self.closed_nodes.append(_A    )
									SCREAMING_SNAKE_CASE_  :		List[str]				      =    self.get_successors(_A    )

									for child_node in successors:
											if child_node in self.closed_nodes:
													continue

											if child_node not in self.open_nodes:
													self.open_nodes.append(_A    )
											else:
													# retrieve the best current path
													SCREAMING_SNAKE_CASE_  :		Tuple				      =    self.open_nodes.pop(self.open_nodes.index(_A    )    )

													if child_node.g_cost < better_node.g_cost:
															self.open_nodes.append(_A    )
													else:
															self.open_nodes.append(_A    )

							if not self.reached:
									return [self.start.pos]
							return None

					def 				__UpperCamelCase   (    self      :       Union[str, Any],_A      :       Node    ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		List[str]				      =    []
							for action in delta:
									SCREAMING_SNAKE_CASE_  :		Dict				      =    parent.pos_x + action[1]
									SCREAMING_SNAKE_CASE_  :		Dict				      =    parent.pos_y + action[0]

									if not (0 <= pos_x <= len(grid[0]    ) - 1 and 0 <= pos_y <= len(_A    ) - 1):
											continue

									if grid[pos_y][pos_x] != 0:
											continue

									successors.append(
									    Node(
									        _A,_A,self.target.pos_y,self.target.pos_x,parent.g_cost + 1,_A,)    )
							return successors






					def 				__UpperCamelCase   (    self      :       List[Any],_A      :       Node | None    ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    node
							SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    []
							while current_node is not None:
									path.append((current_node.pos_y, current_node.pos_x)    )
									SCREAMING_SNAKE_CASE_  :		Optional[Any]				      =    current_node.parent
							path.reverse()
							return path


if __name__ == "__main__":
		__lowerCamelCase					:	Tuple       =  (0, 0)
		__lowerCamelCase					:	List[Any]       =  (len(grid) - 1, len(grid[0]) - 1)
		for elem in grid:
				print(elem)

		print('''------''')

		__lowerCamelCase					:	Tuple       =  GreedyBestFirst(init, goal)
		__lowerCamelCase					:	Optional[int]       =  greedy_bf.search()
		if path:
				for pos_x, pos_y in path:
						__lowerCamelCase					:	str       =  2

				for elem in grid:
						print(elem)







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

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


if is_sentencepiece_available():
			from .tokenization_xlnet import XLNetTokenizer
else:
			_a 						=      None


_a 						=      logging.get_logger(__name__)

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

_a 						=      {
    "vocab_file": {
        "xlnet-base-cased": "https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model",
        "xlnet-large-cased": "https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "xlnet-base-cased": "https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json",
        "xlnet-large-cased": "https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json",
    },
}

_a 						=      {
    "xlnet-base-cased": None,
    "xlnet-large-cased": None,
}

_a 						=      "▁"

# Segments (not really needed)
_a 						=      0
_a 						=      1
_a 						=      2
_a 						=      3
_a 						=      4






class 					__A    (    lowerCAmelCase ):

			'''simple docstring'''







			lowerCAmelCase_							     =						VOCAB_FILES_NAMES
			lowerCAmelCase_							     =						PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase_							     =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCAmelCase_							     =						"""left"""
			lowerCAmelCase_							     =						XLNetTokenizer





			def __init__(    self       ,  __lowerCAmelCase=None       ,  __lowerCAmelCase=None       ,  __lowerCAmelCase=False       ,  __lowerCAmelCase=True       ,  __lowerCAmelCase=False       ,  __lowerCAmelCase="<s>"       ,  __lowerCAmelCase="</s>"       ,  __lowerCAmelCase="<unk>"       ,  __lowerCAmelCase="<sep>"       ,  __lowerCAmelCase="<pad>"       ,  __lowerCAmelCase="<cls>"       ,  __lowerCAmelCase="<mask>"       ,  __lowerCAmelCase=["<eop>", "<eod>"]       ,  **__lowerCAmelCase       ,  ):



				'''simple docstring'''







				lowerCamelCase__								=		AddedToken(__lowerCAmelCase       ,  lstrip=__lowerCAmelCase       ,  rstrip=__lowerCAmelCase							) if isinstance(__lowerCAmelCase       ,  __lowerCAmelCase							) else mask_token

				super().__init__(
				    vocab_file=__lowerCAmelCase       ,  tokenizer_file=__lowerCAmelCase       ,  do_lower_case=__lowerCAmelCase       ,  remove_space=__lowerCAmelCase       ,  keep_accents=__lowerCAmelCase       ,  bos_token=__lowerCAmelCase       ,  eos_token=__lowerCAmelCase       ,  unk_token=__lowerCAmelCase       ,  sep_token=__lowerCAmelCase       ,  pad_token=__lowerCAmelCase       ,  cls_token=__lowerCAmelCase       ,  mask_token=__lowerCAmelCase       ,  additional_special_tokens=__lowerCAmelCase       ,  **__lowerCAmelCase       ,  )

				lowerCamelCase__								=		3
				lowerCamelCase__								=		do_lower_case
				lowerCamelCase__								=		remove_space
				lowerCamelCase__								=		keep_accents
				lowerCamelCase__								=		vocab_file
				lowerCamelCase__								=		False if not self.vocab_file else True





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = None							):



				'''simple docstring'''







				lowerCamelCase__								=		[self.sep_token_id]
				lowerCamelCase__								=		[self.cls_token_id]
				if token_ids_a is None:
					return token_ids_a + sep + cls
				return token_ids_a + sep + token_ids_a + sep + cls





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = None							):



				'''simple docstring'''







				lowerCamelCase__								=		[self.sep_token_id]
				lowerCamelCase__								=		[2]

				if token_ids_a is None:
					return len(token_ids_a + sep							) * [0] + cls_segment_id
				return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1] + cls_segment_id





			def 		__lowerCamelCase				(    self       ,  __lowerCAmelCase       ,  __lowerCAmelCase = None							):



				'''simple docstring'''







				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(__lowerCAmelCase							):
					logger.error(F'Vocabulary path ({save_directory}) should be a directory'							)
					return
				lowerCamelCase__								=		os.path.join(
				    __lowerCAmelCase       ,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)

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

				return (out_vocab_file,)



