





'''simple docstring'''

from __future__ import annotations

import time

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				:			Dict				,lowerCamelCase				:			int				,lowerCamelCase				:			int				,lowerCamelCase				:			int				,lowerCamelCase				:			int				,lowerCamelCase				:			Node | None    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       pos_x
      __SCREAMING_SNAKE_CASE      							=       pos_y
      __SCREAMING_SNAKE_CASE      							=       (pos_y, pos_x)
      __SCREAMING_SNAKE_CASE      							=       goal_x
      __SCREAMING_SNAKE_CASE      							=       goal_y
      __SCREAMING_SNAKE_CASE      							=       parent







class __a :





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

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       Node(start[1]				,start[0]				,goal[1]				,goal[0]				,UpperCamelCase__    )
      __SCREAMING_SNAKE_CASE      							=       Node(goal[1]				,goal[0]				,goal[1]				,goal[0]				,UpperCamelCase__    )

      __SCREAMING_SNAKE_CASE      							=       [self.start]
      __SCREAMING_SNAKE_CASE      							=       False





   def      UpperCAmelCase__     (					self				:			List[Any]    ):

      '''simple docstring'''

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

         if current_node.pos == self.target.pos:
            __SCREAMING_SNAKE_CASE      							=       True
            return self.retrace_path(UpperCamelCase__    )

         __SCREAMING_SNAKE_CASE      							=       self.get_successors(UpperCamelCase__    )

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

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





   def      UpperCAmelCase__     (					self				:			Any				,lowerCamelCase				:			Node    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       []
      for action in delta:
         __SCREAMING_SNAKE_CASE      							=       parent.pos_x + action[1]
         __SCREAMING_SNAKE_CASE      							=       parent.pos_y + action[0]
         if not (0 <= pos_x <= len(grid[0]    ) - 1 and 0 <= pos_y <= len(UpperCamelCase__    ) - 1):
            continue

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

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





   def      UpperCAmelCase__     (					self				:			str				,lowerCamelCase				:			Node | None    ):

      '''simple docstring'''

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







class __a :





   def __init__(					self				:			str				,lowerCamelCase				:			Optional[Any]				,lowerCamelCase				:			Any    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       BreadthFirstSearch(UpperCamelCase__				,UpperCamelCase__    )
      __SCREAMING_SNAKE_CASE      							=       BreadthFirstSearch(UpperCamelCase__				,UpperCamelCase__    )
      __SCREAMING_SNAKE_CASE      							=       False





   def      UpperCAmelCase__     (					self				:			Any    ):

      '''simple docstring'''

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

         if current_bwd_node.pos == current_fwd_node.pos:
            __SCREAMING_SNAKE_CASE      							=       True
            return self.retrace_bidirectional_path(
                UpperCamelCase__				,UpperCamelCase__    )

         __SCREAMING_SNAKE_CASE      							=       current_bwd_node
         __SCREAMING_SNAKE_CASE      							=       current_fwd_node

         __SCREAMING_SNAKE_CASE      							=       {
             self.fwd_bfs: self.fwd_bfs.get_successors(UpperCamelCase__    ),
             self.bwd_bfs: self.bwd_bfs.get_successors(UpperCamelCase__    ),
         }

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

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





   def      UpperCAmelCase__     (					self				:			Union[str, Any]				,lowerCamelCase				:			Node				,lowerCamelCase				:			Node    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       self.fwd_bfs.retrace_path(UpperCamelCase__    )
      __SCREAMING_SNAKE_CASE      							=       self.bwd_bfs.retrace_path(UpperCamelCase__    )
      bwd_path.pop()
      bwd_path.reverse()
      __SCREAMING_SNAKE_CASE      							=       fwd_path + bwd_path
      return path


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

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

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

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

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

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












'''simple docstring'''

from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

a        =						[
    "python",
    "tqdm",
    "regex",
    "requests",
    "packaging",
    "filelock",
    "numpy",
    "tokenizers",
    "huggingface-hub",
    "safetensors",
    "accelerate",
    "pyyaml",
]

for pkg in pkgs_to_check_at_runtime:
    if pkg in deps:
        if pkg == "tokenizers":
            # must be loaded here, or else tqdm check may fail
            from .utils import is_tokenizers_available

            if not is_tokenizers_available():
                continue  # not required, check version only if installed
        elif pkg == "accelerate":
            # must be loaded here, or else tqdm check may fail
            from .utils import is_accelerate_available

            # Maybe switch to is_torch_available in the future here so that Accelerate is hard dep of
            # Transformers with PyTorch
            if not is_accelerate_available():
                continue  # not required, check version only if installed

        require_version_core(deps[pkg])
    else:
        raise ValueError(F'''can\'t find {pkg} in {deps.keys()}, check dependency_versions_table.py''')

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase=None      )						->					Optional[Any]:

   '''simple docstring'''







   require_version(deps[pkg]							,	__UpperCAmelCase      )





