





from typing import Dict, List, Optional

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


_A					:				Union[str, Any]				=			logging.get_logger(__name__)


_A					:				Optional[int]				=			{
    """nielsr/canine-s""": 20_48,
}

# Unicode defines 1,114,112 total “codepoints”
_A					:				Optional[Any]				=			1_11_41_12

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
_A					:				Tuple				=			0

_A					:				str				=			0XE_0_0_0
_A					:				Optional[int]				=			0XE_0_0_1
_A					:				Optional[Any]				=			0XE_0_0_2
_A					:				Dict				=			0XE_0_0_3
_A					:				str				=			0XE_0_0_4

# Maps special codepoints to human-readable names.
_A					:				Dict[int, str]				=			{
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
_A					:				Dict[str, int]				=			{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}



class 					__snake_case	(  __SCREAMING_SNAKE_CASE    ):


    '''simple docstring'''







    lowerCamelCase__    :		List[Any]				=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



    def __init__(       self   ,				A_=chr(A_     )   ,				A_=chr(A_     )   ,				A_=chr(A_     )   ,				A_=chr(A_     )   ,				A_=chr(A_     )   ,				A_=chr(A_     )   ,				A_=False   ,				A_=20_48   ,				**A_   ,				):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			AddedToken(A_   ,				lstrip=A_   ,				rstrip=A_     ) if isinstance(A_   ,				A_     ) else bos_token
        SCREAMING_SNAKE_CASE__											=			AddedToken(A_   ,				lstrip=A_   ,				rstrip=A_     ) if isinstance(A_   ,				A_     ) else eos_token
        SCREAMING_SNAKE_CASE__											=			AddedToken(A_   ,				lstrip=A_   ,				rstrip=A_     ) if isinstance(A_   ,				A_     ) else sep_token
        SCREAMING_SNAKE_CASE__											=			AddedToken(A_   ,				lstrip=A_   ,				rstrip=A_     ) if isinstance(A_   ,				A_     ) else cls_token
        SCREAMING_SNAKE_CASE__											=			AddedToken(A_   ,				lstrip=A_   ,				rstrip=A_     ) if isinstance(A_   ,				A_     ) else pad_token

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

        super().__init__(
            bos_token=A_   ,				eos_token=A_   ,				sep_token=A_   ,				cls_token=A_   ,				pad_token=A_   ,				mask_token=A_   ,				add_prefix_space=A_   ,				model_max_length=A_   ,				**A_   ,				)

        # Creates a mapping for looking up the IDs of special symbols.
        SCREAMING_SNAKE_CASE__											=			{}
        for codepoint, name in SPECIAL_CODEPOINTS.items():
            SCREAMING_SNAKE_CASE__											=			codepoint

        # Creates a mapping for looking up the string forms of special symbol IDs.
        SCREAMING_SNAKE_CASE__											=			{
            codepoint: name for name, codepoint in self._special_codepoints.items()
        }

        SCREAMING_SNAKE_CASE__											=			UNICODE_VOCAB_SIZE
        SCREAMING_SNAKE_CASE__											=			len(self._special_codepoints     )



    @property
    def  lowercase_					(       self     ):





        '''simple docstring'''

        return self._unicode_vocab_size



    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

        return list(A_     )



    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

        try:
            return ord(A_     )
        except TypeError:
            raise ValueError(f'''invalid token: \'{token}\''''     )



    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

        try:
            if index in SPECIAL_CODEPOINTS:
                return SPECIAL_CODEPOINTS[index]
            return chr(A_     )
        except TypeError:
            raise ValueError(f'''invalid id: {index}'''     )



    def  lowercase_					(       self   ,				A_     ):





        '''simple docstring'''

        return "".join(A_     )



    def  lowercase_					(       self   ,				A_   ,				A_ = None     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			[self.sep_token_id]
        SCREAMING_SNAKE_CASE__											=			[self.cls_token_id]

        SCREAMING_SNAKE_CASE__											=			cls + token_ids_a + sep
        if token_ids_a is not None:
            result += token_ids_a + sep
        return result



    def  lowercase_					(       self   ,				A_   ,				A_ = None   ,				A_ = False     ):





        '''simple docstring'''

        if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=A_   ,				token_ids_a=A_   ,				already_has_special_tokens=A_     )

        SCREAMING_SNAKE_CASE__											=			[1] + ([0] * len(A_     )) + [1]
        if token_ids_a is not None:
            result += ([0] * len(A_     )) + [1]
        return result



    def  lowercase_					(       self   ,				A_   ,				A_ = None     ):





        '''simple docstring'''

        SCREAMING_SNAKE_CASE__											=			[self.sep_token_id]
        SCREAMING_SNAKE_CASE__											=			[self.cls_token_id]

        SCREAMING_SNAKE_CASE__											=			len(cls + token_ids_a + sep     ) * [0]
        if token_ids_a is not None:
            result += len(token_ids_a + sep     ) * [1]
        return result




    def  lowercase_					(       self   ,				A_   ,				A_ = None     ):





        '''simple docstring'''

        return ()





'''simple docstring'''

from __future__ import annotations

a							   =				list[tuple[int, int]]

a							   =				[
    [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],
]

a							   =				([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right






class 						a_		:


							def __init__(				self   :						Tuple      ,						a_   :						int      ,						a_   :						int      ,						a_   :						int      ,						a_   :						int      ,						a_   :						float      ,						a_   :						Node | None      ,						)			->					Optional[Any]:
										snake_case:    str      							=pos_x
										snake_case:    str      							=pos_y
										snake_case:    Optional[Any]      							=(pos_y, pos_x)
										snake_case:    Union[str, Any]      							=goal_x
										snake_case:    Tuple      							=goal_y
										snake_case:    Tuple      							=g_cost
										snake_case:    Tuple      							=parent
										snake_case:    Optional[Any]      							=self.calculate_heuristic()


							def    UpperCamelCase     (				self   :						Union[str, Any]			)			->					float:
										snake_case:    Optional[Any]      							=abs(self.pos_x - self.goal_x			)
										snake_case:    Optional[int]      							=abs(self.pos_y - self.goal_y			)
										return dx + dy




							def __lt__(				self   :						Union[str, Any]      ,						a_   :						Tuple			)			->					bool:
										return self.f_cost < other.f_cost






class 						a_		:


							def __init__(				self   :						Any      ,						a_   :						tuple[int, int]      ,						a_   :						tuple[int, int]			)			->					Optional[Any]:
										snake_case:    Any      							=Node(start[1]      ,						start[0]      ,						goal[1]      ,						goal[0]      ,						0      ,						a_			)
										snake_case:    str      							=Node(goal[1]      ,						goal[0]      ,						goal[1]      ,						goal[0]      ,						9_9_9_9_9      ,						a_			)

										snake_case:    int      							=[self.start]
										snake_case:    list[Node]      							=[]

										snake_case:    Tuple      							=False


							def    UpperCamelCase     (				self   :						str			)			->					Path | None:
										while self.open_nodes:
													# Open Nodes are sorted using __lt__
													self.open_nodes.sort()
													snake_case:    Tuple      							=self.open_nodes.pop(0			)

													if current_node.pos == self.target.pos:
																snake_case:    Tuple      							=True
																return self.retrace_path(a_			)

													self.closed_nodes.append(a_			)
													snake_case:    Optional[Any]      							=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
																			snake_case:    List[Any]      							=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   :						str      ,						a_   :						Node			)			->					list[Node]:
										snake_case:    Any      							=[]
										for action in delta:
													snake_case:    Any      							=parent.pos_x + action[1]
													snake_case:    str      							=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   :						Dict      ,						a_   :						Node | None			)			->					Path:
										snake_case:    Dict      							=node
										snake_case:    Optional[int]      							=[]
										while current_node is not None:
													path.append((current_node.pos_y, current_node.pos_x)			)
													snake_case:    List[str]      							=current_node.parent
										path.reverse()
										return path


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

	print('------')

	a							   =				GreedyBestFirst(init, goal)
	a							   =				greedy_bf.search()
	if path:
		for pos_x, pos_y in path:
			a							   =				2

		for elem in grid:
			print(elem)




