import numpy as np
class     a_			:






 '''simple docstring'''






 def __init__(      self :  Optional[int]):







        '''simple docstring'''



        lowerCAmelCase__					     = (0, 0)
        lowerCAmelCase__					     = None
        lowerCAmelCase__					     = 0
        lowerCAmelCase__					     = 0
        lowerCAmelCase__					     = 0




 def __eq__(      self :  List[Any]      ,   lowercase__ :  str):







        '''simple docstring'''



        return self.position == cell.position




 def 		__snake_case						(      self :  Any):







        '''simple docstring'''



        print(self.position)






class     a_			:






 '''simple docstring'''






 def __init__(      self :  Optional[int]      ,   lowercase__ :  Union[str, Any]=(5, 5)):







        '''simple docstring'''



        lowerCAmelCase__					     = np.zeros(lowercase__)
        lowerCAmelCase__					     = world_size[0]
        lowerCAmelCase__					     = world_size[1]




 def 		__snake_case						(      self :  Union[str, Any]):







        '''simple docstring'''



        print(self.w)




 def 		__snake_case						(      self :  Dict      ,   lowercase__ :  int):







        '''simple docstring'''



        lowerCAmelCase__					     = [
            (-1, -1),
            (-1, 0),
            (-1, 1),
            (0, -1),
            (0, 1),
            (1, -1),
            (1, 0),
            (1, 1),
        ]
        lowerCAmelCase__					     = cell.position[0]
        lowerCAmelCase__					     = cell.position[1]
        lowerCAmelCase__					     = []
        for n in neughbour_cord:
               lowerCAmelCase__					     = current_x + n[0]
               lowerCAmelCase__					     = current_y + n[1]
               if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
                      lowerCAmelCase__					     = Cell()
                      lowerCAmelCase__					     = (x, y)
                      lowerCAmelCase__					     = cell
                      neighbours.append(lowercase__)
        return neighbours






def 				__lowerCamelCase		(						lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ):
       lowerCAmelCase__					     = []
       lowerCAmelCase__					     = []
       _open.append(lowerCAmelCase__     )

       while _open:
              lowerCAmelCase__					     = np.argmin([n.f for n in _open]     )
              lowerCAmelCase__					     = _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
                     lowerCAmelCase__					     = current.g + 1
                     lowerCAmelCase__     , lowerCAmelCase__					     = n.position
                     lowerCAmelCase__     , lowerCAmelCase__					     = goal.position
                     lowerCAmelCase__					     = (ya - ya) ** 2 + (xa - xa) ** 2
                     lowerCAmelCase__					     = n.h + n.g

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


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


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__     						=			{
    'configuration_x_clip': [
        'XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'XCLIPConfig',
        'XCLIPTextConfig',
        'XCLIPVisionConfig',
    ],
    'processing_x_clip': ['XCLIPProcessor'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			[
        'XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
        'XCLIPModel',
        'XCLIPPreTrainedModel',
        'XCLIPTextModel',
        'XCLIPVisionModel',
    ]

if TYPE_CHECKING:
    from .configuration_x_clip import (
        XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        XCLIPConfig,
        XCLIPTextConfig,
        XCLIPVisionConfig,
    )
    from .processing_x_clip import XCLIPProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_x_clip import (
            XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            XCLIPModel,
            XCLIPPreTrainedModel,
            XCLIPTextModel,
            XCLIPVisionModel,
        )

else:
    import sys

    lowerCAmelCase__     						=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
