"""simple docstring"""




from __future__ import annotations

import time

__lowercase										= list[tuple[int, int]]

__lowercase										= [
    [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],
]

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


class      lowerCamelCase_					:






    '''simple docstring'''






    def __init__(     self			,			__lowercase			,			__lowercase			,			__lowercase			,			__lowercase			,			__lowercase)	->     int:
        __UpperCamelCase					:int        =		pos_x
        __UpperCamelCase					:List[Any]        =		pos_y
        __UpperCamelCase					:Optional[Any]        =		(pos_y, pos_x)
        __UpperCamelCase					:int        =		goal_x
        __UpperCamelCase					:Optional[int]        =		goal_y
        __UpperCamelCase					:Any        =		parent


class      lowerCamelCase_					:






    '''simple docstring'''






    def __init__(     self			,			__lowercase			,			__lowercase)	->     int:
        __UpperCamelCase					:List[str]        =		Node(start[1]			,			start[0]			,			goal[1]			,			goal[0]			,			lowerCamelCase__)
        __UpperCamelCase					:List[Any]        =		Node(goal[1]			,			goal[0]			,			goal[1]			,			goal[0]			,			lowerCamelCase__)

        __UpperCamelCase					:Any        =		[self.start]
        __UpperCamelCase					:Tuple        =		False







    def       UpperCamelCase__       (     self)	->     Dict:
        while self.node_queue:
            __UpperCamelCase					:int        =		self.node_queue.pop(0)

            if current_node.pos == self.target.pos:
                __UpperCamelCase					:Any        =		True
                return self.retrace_path(lowerCamelCase__)

            __UpperCamelCase					:Dict        =		self.get_successors(lowerCamelCase__)

            for node in successors:
                self.node_queue.append(lowerCamelCase__)

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







    def       UpperCamelCase__       (     self			,			__lowercase)	->     List[str]:
        __UpperCamelCase					:Union[str, Any]        =		[]
        for action in delta:
            __UpperCamelCase					:Union[str, Any]        =		parent.pos_x + action[1]
            __UpperCamelCase					:List[Any]        =		parent.pos_y + action[0]
            if not (0 <= pos_x <= len(grid[0]) - 1 and 0 <= pos_y <= len(lowerCamelCase__) - 1):
                continue

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

            successors.append(
                Node(lowerCamelCase__			,			lowerCamelCase__			,			self.target.pos_y			,			self.target.pos_x			,			lowerCamelCase__))
        return successors







    def       UpperCamelCase__       (     self			,			__lowercase)	->     Tuple:
        __UpperCamelCase					:Optional[int]        =		node
        __UpperCamelCase					:Optional[int]        =		[]
        while current_node is not None:
            path.append((current_node.pos_y, current_node.pos_x))
            __UpperCamelCase					:Dict        =		current_node.parent
        path.reverse()
        return path


class      lowerCamelCase_					:






    '''simple docstring'''






    def __init__(     self			,			__lowercase			,			__lowercase)	->     Optional[Any]:
        __UpperCamelCase					:Dict        =		BreadthFirstSearch(lowerCamelCase__			,			lowerCamelCase__)
        __UpperCamelCase					:str        =		BreadthFirstSearch(lowerCamelCase__			,			lowerCamelCase__)
        __UpperCamelCase					:Any        =		False







    def       UpperCamelCase__       (     self)	->     Tuple:
        while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
            __UpperCamelCase					:int        =		self.fwd_bfs.node_queue.pop(0)
            __UpperCamelCase					:str        =		self.bwd_bfs.node_queue.pop(0)

            if current_bwd_node.pos == current_fwd_node.pos:
                __UpperCamelCase					:Optional[Any]        =		True
                return self.retrace_bidirectional_path(
                    lowerCamelCase__			,			lowerCamelCase__)

            __UpperCamelCase					:int        =		current_bwd_node
            __UpperCamelCase					:List[str]        =		current_fwd_node

            __UpperCamelCase					:List[Any]        =		{
                self.fwd_bfs: self.fwd_bfs.get_successors(lowerCamelCase__),
                self.bwd_bfs: self.bwd_bfs.get_successors(lowerCamelCase__),
            }

            for bfs in [self.fwd_bfs, self.bwd_bfs]:
                for node in successors[bfs]:
                    bfs.node_queue.append(lowerCamelCase__)

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







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase)	->     str:
        __UpperCamelCase					:Optional[Any]        =		self.fwd_bfs.retrace_path(lowerCamelCase__)
        __UpperCamelCase					:Union[str, Any]        =		self.bwd_bfs.retrace_path(lowerCamelCase__)
        bwd_path.pop()
        bwd_path.reverse()
        __UpperCamelCase					:Optional[int]        =		fwd_path + bwd_path
        return path


if __name__ == "__main__":
    # all coordinates are given in format [y,x]
    import doctest

    doctest.testmod()
    __lowercase										= (0, 0)
    __lowercase										= (len(grid) - 1, len(grid[0]) - 1)
    for elem in grid:
        print(elem)

    __lowercase										= time.time()
    __lowercase										= BreadthFirstSearch(init, goal)
    __lowercase										= bfs.search()
    __lowercase										= time.time() - start_bfs_time

    print('''Unidirectional BFS computation time : ''', bfs_time)

    __lowercase										= time.time()
    __lowercase										= BidirectionalBreadthFirstSearch(init, goal)
    __lowercase										= bd_bfs.search()
    __lowercase										= time.time() - start_bd_bfs_time

    print('''Bidirectional BFS computation time : ''', bd_bfs_time)






from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


__lowercase										= logging.get_logger(__name__)

__lowercase										= {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__lowercase										= {
    '''vocab_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'''
    },
}

__lowercase										= {'''allegro/herbert-base-cased''': 514}
__lowercase										= {}


class      lowerCamelCase_					(       UpperCAmelCase_			):






    '''simple docstring'''






    a__     :						Tuple      =				VOCAB_FILES_NAMES
    a__     :						Dict      =				PRETRAINED_VOCAB_FILES_MAP
    a__     :						Tuple      =				PRETRAINED_INIT_CONFIGURATION
    a__     :						Optional[Any]      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a__     :						Union[str, Any]      =				HerbertTokenizer







    def __init__(     self			,			__lowercase=None			,			__lowercase=None			,			__lowercase=None			,			__lowercase="<s>"			,			__lowercase="<unk>"			,			__lowercase="<pad>"			,			__lowercase="<mask>"			,			__lowercase="</s>"			,			**__lowercase			,			)	->     Optional[Any]:
        super().__init__(
            __lowercase			,			__lowercase			,			tokenizer_file=__lowercase			,			cls_token=__lowercase			,			unk_token=__lowercase			,			pad_token=__lowercase			,			mask_token=__lowercase			,			sep_token=__lowercase			,			**__lowercase			,			)







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase = None)	->     List[int]:
        __UpperCamelCase					:List[str]        =		[self.cls_token_id]
        __UpperCamelCase					:Tuple        =		[self.sep_token_id]
        if token_ids_a is None:
            return cls + token_ids_a + sep

        return cls + token_ids_a + sep + token_ids_a + sep







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase = None			,			__lowercase = False)	->     List[int]:
        if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=__lowercase			,			token_ids_a=__lowercase			,			already_has_special_tokens=__lowercase)

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







    def       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase = None)	->     List[int]:
        __UpperCamelCase					:Optional[Any]        =		[self.sep_token_id]
        __UpperCamelCase					:int        =		[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       UpperCamelCase__       (     self			,			__lowercase			,			__lowercase = None)	->     Tuple[str]:
        __UpperCamelCase					:Optional[int]        =		self._tokenizer.model.save(__lowercase			,			name=__lowercase)
        return tuple(__lowercase)





