import numpy as np



class        snake_case__							:



   def __init__(					self : str )				->  List[str]:




         '''simple docstring'''




         snake_case_  :      Optional[Any]  	=							(0, 0)
         snake_case_  :      int  	=							None
         snake_case_  :      List[Any]  	=							0
         snake_case_  :      Optional[int]  	=							0
         snake_case_  :      Optional[Any]  	=							0



   def __eq__(					self : Any      ,						A__ : str )				->  List[str]:




         '''simple docstring'''




         return self.position == cell.position



   def        UpperCAmelCase__							(					self : Tuple )				->  int:




         '''simple docstring'''




         print(self.position )



class        snake_case__							:



   def __init__(					self : Tuple      ,						A__ : List[str]=(5, 5) )				->  Any:




         '''simple docstring'''




         snake_case_  :      List[Any]  	=							np.zeros(snake_case__ )
         snake_case_  :      Tuple  	=							world_size[0]
         snake_case_  :      Any  	=							world_size[1]



   def        UpperCAmelCase__							(					self : int )				->  Optional[Any]:




         '''simple docstring'''




         print(self.w )



   def        UpperCAmelCase__							(					self : Tuple      ,						A__ : Any )				->  Dict:




         '''simple docstring'''




         snake_case_  :      Union[str, Any]  	=							[
             (-1, -1),
             (-1, 0),
             (-1, 1),
             (0, -1),
             (0, 1),
             (1, -1),
             (1, 0),
             (1, 1),
         ]
         snake_case_  :      List[Any]  	=							cell.position[0]
         snake_case_  :      Tuple  	=							cell.position[1]
         snake_case_  :      List[Any]  	=							[]
         for n in neughbour_cord:
               snake_case_  :      Optional[Any]  	=							current_x + n[0]
               snake_case_  :      Optional[int]  	=							current_y + n[1]
               if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
                     snake_case_  :      str  	=							Cell()
                     snake_case_  :      Optional[int]  	=							(x, y)
                     snake_case_  :      int  	=							cell
                     neighbours.append(snake_case__ )
         return neighbours






def        SCREAMING_SNAKE_CASE_      (		lowerCAmelCase_:			str			,						lowerCAmelCase_:			Dict			,						lowerCAmelCase_:			List[Any]  ):
      snake_case_  :      Dict  	=							[]
      snake_case_  :      Dict  	=							[]
      _open.append(lowerCAmelCase_  )

      while _open:
            snake_case_  :      int  	=							np.argmin([n.f for n in _open]  )
            snake_case_  :      int  	=							_open[min_f]
            _closed.append(_open.pop(lowerCAmelCase_  )  )
            if current == goal:
                  break
            for n in world.get_neigbours(lowerCAmelCase_  ):
                  for c in _closed:
                        if c == n:
                              continue
                  snake_case_  :      Optional[int]  	=							current.g + 1
                  snake_case_  :      Dict  	=							n.position
                  snake_case_  :      int  	=							goal.position
                  snake_case_  :      str  	=							(ya - ya) ** 2 + (xa - xa) ** 2
                  snake_case_  :      Tuple  	=							n.h + n.g

                  for c in _open:
                        if c == n and c.f < n.f:
                              continue
                  _open.append(lowerCAmelCase_  )
      snake_case_  :      Optional[int]  	=							[]
      while current.parent is not None:
            path.append(current.position  )
            snake_case_  :      Dict  	=							current.parent
      path.append(current.position  )
      return path[::-1]


if __name__ == "__main__":
     UpperCAmelCase					      =							Gridworld()
     # Start position and goal
     UpperCAmelCase					      =							Cell()
     UpperCAmelCase					      =							(0, 0)
     UpperCAmelCase					      =							Cell()
     UpperCAmelCase					      =							(4, 4)
     print(F"path from {start.position} to {goal.position}")
     UpperCAmelCase					      =							astar(world, start, goal)
     #   Just for visual reasons.
     for i in s:
          UpperCAmelCase					      =							1
     print(world.w)










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase_							=				{
    """configuration_m2m_100""": ["""M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP""", """M2M100Config""", """M2M100OnnxConfig"""],
    """tokenization_m2m_100""": ["""M2M100Tokenizer"""],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase_							=				[
							    """M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """M2M100ForConditionalGeneration""",
							    """M2M100Model""",
							    """M2M100PreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
							from .tokenization_mam_aaa import MaMaaaTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mam_aaa import (
														    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MaMaaaForConditionalGeneration,
														    MaMaaaModel,
														    MaMaaaPreTrainedModel,
														)


else:
							import sys

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