"""simple docstring"""


import numpy as np


class 							a					:


    def __init__(       self						:	Tuple       ):
      _UpperCAmelCase    			=   (0, 0)
      _UpperCAmelCase    			=   None
      _UpperCAmelCase    			=   0
      _UpperCAmelCase    			=   0
      _UpperCAmelCase    			=   0


    def __eq__(       self						:	Optional[int] ,					__lowerCAmelCase						:	Optional[Any]       ):
      return self.position == cell.position


    def   lowerCAmelCase_	(       self						:	Any       ):
      print(self.position       )



class 							a					:


    def __init__(       self						:	Tuple ,					__lowerCAmelCase						:	Optional[Any]=(5, 5)       ):
      _UpperCAmelCase    			=   np.zeros(__lowerCAmelCase       )
      _UpperCAmelCase    			=   world_size[0]
      _UpperCAmelCase    			=   world_size[1]


    def   lowerCAmelCase_	(       self						:	Optional[int]       ):
      print(self.w       )


    def   lowerCAmelCase_	(       self						:	Optional[Any] ,					__lowerCAmelCase						:	Dict       ):
      _UpperCAmelCase    			=   [
          (-1, -1),
          (-1, 0),
          (-1, 1),
          (0, -1),
          (0, 1),
          (1, -1),
          (1, 0),
          (1, 1),
      ]
      _UpperCAmelCase    			=   cell.position[0]
      _UpperCAmelCase    			=   cell.position[1]
      _UpperCAmelCase    			=   []
      for n in neughbour_cord:
        _UpperCAmelCase    			=   current_x + n[0]
        _UpperCAmelCase    			=   current_y + n[1]
        if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
          _UpperCAmelCase    			=   Cell()
          _UpperCAmelCase    			=   (x, y)
          _UpperCAmelCase    			=   cell
          neighbours.append(__lowerCAmelCase       )
      return neighbours






def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   []
  _UpperCAmelCase    			=   []
  _open.append(lowercase		)

  while _open:
    _UpperCAmelCase    			=   np.argmin([n.f for n in _open]		)
    _UpperCAmelCase    			=   _open[min_f]
    _closed.append(_open.pop(lowercase		)		)
    if current == goal:
      break
    for n in world.get_neigbours(lowercase		):
      for c in _closed:
        if c == n:
          continue
      _UpperCAmelCase    			=   current.g + 1
      _UpperCAmelCase			,					_UpperCAmelCase    			=   n.position
      _UpperCAmelCase			,					_UpperCAmelCase    			=   goal.position
      _UpperCAmelCase    			=   (ya - ya) ** 2 + (xa - xa) ** 2
      _UpperCAmelCase    			=   n.h + n.g

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

"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


UpperCAmelCase__			=    {"""configuration_vit_mae""": ["""VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTMAEConfig"""]}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase__			=    [
        """VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """ViTMAEForPreTraining""",
        """ViTMAELayer""",
        """ViTMAEModel""",
        """ViTMAEPreTrainedModel""",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase__			=    [
        """TFViTMAEForPreTraining""",
        """TFViTMAEModel""",
        """TFViTMAEPreTrainedModel""",
    ]

if TYPE_CHECKING:
    from .configuration_vit_mae import VIT_MAE_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMAEConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_vit_mae import (
            VIT_MAE_PRETRAINED_MODEL_ARCHIVE_LIST,
            ViTMAEForPreTraining,
            ViTMAELayer,
            ViTMAEModel,
            ViTMAEPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_vit_mae import TFViTMAEForPreTraining, TFViTMAEModel, TFViTMAEPreTrainedModel


else:
    import sys

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