
"""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 		UpperCAmelCase_						:
 """simple docstring"""




 def __init__(			self							:			Tuple  , a_							:			int  , a_							:			int  , a_							:			int  , a_							:			int  , a_							:			Node | None			)->       List[str]:



      """simple docstring"""

      UpperCAmelCase_    :     List[Any]            =	pos_x
      UpperCAmelCase_    :     Dict            =	pos_y
      UpperCAmelCase_    :     str            =	(pos_y, pos_x)
      UpperCAmelCase_    :     List[str]            =	goal_x
      UpperCAmelCase_    :     Tuple            =	goal_y
      UpperCAmelCase_    :     Any            =	parent



class 		UpperCAmelCase_						:
 """simple docstring"""




 def __init__(			self							:			str  , a_							:			tuple[int, int]  , a_							:			tuple[int, int]			)->       Any:



      """simple docstring"""

      UpperCAmelCase_    :     Any            =	Node(start[1]  , start[0]  , goal[1]  , goal[0]  , a_			)
      UpperCAmelCase_    :     int            =	Node(goal[1]  , goal[0]  , goal[1]  , goal[0]  , a_			)

      UpperCAmelCase_    :     List[Any]            =	[self.start]
      UpperCAmelCase_    :     Optional[Any]            =	False




 def 	a   (			self							:			Dict			)->       Path | None:



      """simple docstring"""

      while self.node_queue:
           UpperCAmelCase_    :     Dict            =	self.node_queue.pop(0			)

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

           UpperCAmelCase_    :     str            =	self.get_successors(a_			)

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

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




 def 	a   (			self							:			Dict  , a_							:			Node			)->       list[Node]:



      """simple docstring"""

      UpperCAmelCase_    :     Any            =	[]
      for action in delta:
           UpperCAmelCase_    :     List[Any]            =	parent.pos_x + action[1]
           UpperCAmelCase_    :     Union[str, Any]            =	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  , a_			)			)
      return successors






 def 	a   (			self							:			Union[str, Any]  , a_							:			Node | None			)->       Path:



      """simple docstring"""

      UpperCAmelCase_    :     int            =	node
      UpperCAmelCase_    :     Any            =	[]
      while current_node is not None:
           path.append((current_node.pos_y, current_node.pos_x)			)
           UpperCAmelCase_    :     List[Any]            =	current_node.parent
      path.reverse()
      return path



class 		UpperCAmelCase_						:
 """simple docstring"""




 def __init__(			self							:			Any  , a_							:			Tuple  , a_							:			Optional[Any]			)->       int:



      """simple docstring"""

      UpperCAmelCase_    :     List[Any]            =	BreadthFirstSearch(a_  , a_			)
      UpperCAmelCase_    :     Dict            =	BreadthFirstSearch(a_  , a_			)
      UpperCAmelCase_    :     Optional[Any]            =	False




 def 	a   (			self							:			Optional[int]			)->       Path | None:



      """simple docstring"""

      while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
           UpperCAmelCase_    :     Optional[Any]            =	self.fwd_bfs.node_queue.pop(0			)
           UpperCAmelCase_    :     List[str]            =	self.bwd_bfs.node_queue.pop(0			)

           if current_bwd_node.pos == current_fwd_node.pos:
                UpperCAmelCase_    :     Union[str, Any]            =	True
                return self.retrace_bidirectional_path(
                    a_  , a_			)

           UpperCAmelCase_    :     str            =	current_bwd_node
           UpperCAmelCase_    :     Optional[int]            =	current_fwd_node

           UpperCAmelCase_    :     str            =	{
               self.fwd_bfs: self.fwd_bfs.get_successors(a_			),
               self.bwd_bfs: self.bwd_bfs.get_successors(a_			),
           }

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

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






 def 	a   (			self							:			Union[str, Any]  , a_							:			Node  , a_							:			Node			)->       Path:



      """simple docstring"""

      UpperCAmelCase_    :     List[str]            =	self.fwd_bfs.retrace_path(a_			)
      UpperCAmelCase_    :     Optional[int]            =	self.bwd_bfs.retrace_path(a_			)
      bwd_path.pop()
      bwd_path.reverse()
      UpperCAmelCase_    :     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)



"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase_         =       {
    "configuration_timesformer": ["TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TimesformerConfig"],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowercase_         =       [
           "TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
           "TimesformerModel",
           "TimesformerForVideoClassification",
           "TimesformerPreTrainedModel",
       ]

if TYPE_CHECKING:
       from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_timesformer import (
                  TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TimesformerForVideoClassification,
                  TimesformerModel,
                  TimesformerPreTrainedModel,
              )

else:
       import sys

       lowercase_         =       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

