

from __future__ import annotations

import time

_UpperCAmelCase		:   Optional[int]										=       list[tuple[int, int]]

_UpperCAmelCase		:   Dict										=       [
    [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],
]

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







class  lowercase				:




				def __init__(					self      ,   snake_case      ,   snake_case      ,   snake_case      ,   snake_case      ,   snake_case       ):
											snake_case_							=    pos_x
											snake_case_							=    pos_y
											snake_case_							=    (pos_y, pos_x)
											snake_case_							=    goal_x
											snake_case_							=    goal_y
											snake_case_							=    parent







class  lowercase				:




				def __init__(					self      ,   snake_case      ,   snake_case       ):
											snake_case_							=    Node(start[1]      ,   start[0]      ,   goal[1]      ,   goal[0]      ,   lowercase_       )
											snake_case_							=    Node(goal[1]      ,   goal[0]      ,   goal[1]      ,   goal[0]      ,   lowercase_       )

											snake_case_							=    [self.start]
											snake_case_							=    False




				def     a							(					self       ):







											while self.node_queue:
																		snake_case_							=    self.node_queue.pop(0       )

																		if current_node.pos == self.target.pos:
																									snake_case_							=    True
																									return self.retrace_path(lowercase_       )

																		snake_case_							=    self.get_successors(lowercase_       )

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

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




				def     a							(					self      ,   snake_case       ):
											snake_case_							=    []
											for action in delta:
																		snake_case_							=    parent.pos_x + action[1]
																		snake_case_							=    parent.pos_y + action[0]
																		if not (0 <= pos_x <= len(grid[0]       ) - 1 and 0 <= pos_y <= len(lowercase_       ) - 1):
																									continue

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

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




				def     a							(					self      ,   snake_case       ):
											snake_case_							=    node
											snake_case_							=    []
											while current_node is not None:
																		path.append((current_node.pos_y, current_node.pos_x)       )
																		snake_case_							=    current_node.parent
											path.reverse()
											return path







class  lowercase				:




				def __init__(					self      ,   snake_case      ,   snake_case       ):
											snake_case_							=    BreadthFirstSearch(lowercase_      ,   lowercase_       )
											snake_case_							=    BreadthFirstSearch(lowercase_      ,   lowercase_       )
											snake_case_							=    False




				def     a							(					self       ):







											while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
																		snake_case_							=    self.fwd_bfs.node_queue.pop(0       )
																		snake_case_							=    self.bwd_bfs.node_queue.pop(0       )

																		if current_bwd_node.pos == current_fwd_node.pos:
																									snake_case_							=    True
																									return self.retrace_bidirectional_path(
																									    lowercase_      ,   lowercase_       )

																		snake_case_							=    current_bwd_node
																		snake_case_							=    current_fwd_node

																		snake_case_							=    {
																		    self.fwd_bfs: self.fwd_bfs.get_successors(lowercase_       ),
																		    self.bwd_bfs: self.bwd_bfs.get_successors(lowercase_       ),
																		}

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

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




				def     a							(					self      ,   snake_case      ,   snake_case       ):
											snake_case_							=    self.fwd_bfs.retrace_path(lowercase_       )
											snake_case_							=    self.bwd_bfs.retrace_path(lowercase_       )
											bwd_path.pop()
											bwd_path.reverse()
											snake_case_							=    fwd_path + bwd_path
											return path


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

					doctest.testmod()
					_UpperCAmelCase		:   Union[str, Any]										=       (0, 0)
					_UpperCAmelCase		:   Tuple										=       (len(grid) - 1, len(grid[0]) - 1)
					for elem in grid:
										print(elem)

					_UpperCAmelCase		:   Optional[Any]										=       time.time()
					_UpperCAmelCase		:   Tuple										=       BreadthFirstSearch(init, goal)
					_UpperCAmelCase		:   List[Any]										=       bfs.search()
					_UpperCAmelCase		:   int										=       time.time() - start_bfs_time

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

					_UpperCAmelCase		:   int										=       time.time()
					_UpperCAmelCase		:   Optional[Any]										=       BidirectionalBreadthFirstSearch(init, goal)
					_UpperCAmelCase		:   int										=       bd_bfs.search()
					_UpperCAmelCase		:   Optional[int]										=       time.time() - start_bd_bfs_time

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







from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowercase_       		=  logging.get_logger(__name__)

lowercase_       		=  {
    "microsoft/resnet-50": "https://huggingface.co/microsoft/resnet-50/blob/main/config.json",
}


class  A						(							_UpperCAmelCase    ,							_UpperCAmelCase ):







    """simple docstring"""





    lowerCamelCase			=							'resnet'
    lowerCamelCase			=							['basic', 'bottleneck']


    def __init__(      self :       Optional[Any],lowercase_ :       int=3,lowercase_ :       List[str]=6_4,lowercase_ :       int=[2_5_6, 5_1_2, 1_0_2_4, 2_0_4_8],lowercase_ :       Tuple=[3, 4, 6, 3],lowercase_ :       Union[str, Any]="bottleneck",lowercase_ :       List[str]="relu",lowercase_ :       Tuple=False,lowercase_ :       List[str]=None,lowercase_ :       List[Any]=None,**lowercase_ :       str,)->    Optional[Any]:





        '''simple docstring'''







        super().__init__(**lowercase_		)
        if layer_type not in self.layer_types:
            raise ValueError(F'layer_type={layer_type} is not one of {",".join(self.layer_types		)}'		)
        A__          =   num_channels
        A__          =   embedding_size
        A__          =   hidden_sizes
        A__          =   depths
        A__          =   layer_type
        A__          =   hidden_act
        A__          =   downsample_in_first_stage
        A__          =   ['stem'] + [F'stage{idx}' for idx in range(1,len(lowercase_		) + 1		)]
        A__      ,						A__          =   get_aligned_output_features_output_indices(
            out_features=lowercase_,out_indices=lowercase_,stage_names=self.stage_names		)




class  A						(							_UpperCAmelCase ):







    """simple docstring"""





    lowerCamelCase			=							version.parse('1.11' )


    @property
    def 						snake_case__     (      self :       List[Any]		)->    Mapping[str, Mapping[int, str]]:





        '''simple docstring'''







        return OrderedDict(
            [
                ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
            ]		)


    @property
    def 						snake_case__     (      self :       Any		)->    float:





        '''simple docstring'''







        return 1E-3

