






"""simple docstring"""



from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


A_      =							logging.get_logger(__name__)

A_      =							{
    '''microsoft/focalnet-tiny''': '''https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json''',
}






class 							__SCREAMING_SNAKE_CASE  (			UpperCamelCase    ,						UpperCamelCase						):
							snake_case_       =							'focalnet'


							def __init__(     self :  Union[str, Any]     ,      snake_case :  Tuple=224     ,      snake_case :  Tuple=4     ,      snake_case :  List[Any]=3     ,      snake_case :  int=96     ,      snake_case :  List[Any]=False     ,      snake_case :  List[Any]=[192, 384, 768, 768]     ,      snake_case :  Union[str, Any]=[2, 2, 6, 2]     ,      snake_case :  str=[2, 2, 2, 2]     ,      snake_case :  Tuple=[3, 3, 3, 3]     ,      snake_case :  List[str]="gelu"     ,      snake_case :  Any=4.0     ,      snake_case :  Any=0.0     ,      snake_case :  Optional[Any]=0.1     ,      snake_case :  Union[str, Any]=False     ,      snake_case :  Any=1e-4     ,      snake_case :  Dict=False     ,      snake_case :  Optional[Any]=False     ,      snake_case :  Dict=False     ,      snake_case :  Optional[Any]=0.02     ,      snake_case :  Dict=1e-5     ,      snake_case :  Optional[int]=32     ,      snake_case :  int=None     ,      snake_case :  List[Any]=None     ,      **snake_case :  Any     ,      ):
													'''simple docstring'''





													super().__init__(**snake_case							)

													A__  :					Tuple											=					image_size
													A__  :					Dict											=					patch_size
													A__  :					Tuple											=					num_channels
													A__  :					str											=					embed_dim
													A__  :					Union[str, Any]											=					use_conv_embed
													A__  :					Union[str, Any]											=					hidden_sizes
													A__  :					int											=					depths
													A__  :					str											=					focal_levels
													A__  :					str											=					focal_windows
													A__  :					Union[str, Any]											=					hidden_act
													A__  :					Any											=					mlp_ratio
													A__  :					Any											=					hidden_dropout_prob
													A__  :					str											=					drop_path_rate
													A__  :					Dict											=					use_layerscale
													A__  :					str											=					layerscale_value
													A__  :					Optional[Any]											=					use_post_layernorm
													A__  :					Any											=					use_post_layernorm_in_modulation
													A__  :					Optional[int]											=					normalize_modulator
													A__  :					Dict											=					initializer_range
													A__  :					str											=					layer_norm_eps
													A__  :					int											=					encoder_stride
													A__  :					List[Any]											=					["""stem"""] + [F'stage{idx}' for idx in range(1     ,      len(self.depths							) + 1							)]
													A__					,					A__  :					str											=					get_aligned_output_features_output_indices(
													    out_features=snake_case     ,      out_indices=snake_case     ,      stage_names=self.stage_names							)














"""simple docstring"""



import numpy as np






class 							__SCREAMING_SNAKE_CASE  :


							def __init__(     self :  List[str]							):
													'''simple docstring'''





													A__  :					Optional[int]											=					(0, 0)
													A__  :					Dict											=					None
													A__  :					int											=					0
													A__  :					str											=					0
													A__  :					Optional[Any]											=					0


							def __eq__(     self :  str     ,      snake_case :  Optional[int]							):
													'''simple docstring'''





													return self.position == cell.position


							def   _UpperCamelCase    (     self :  List[str]							):
													'''simple docstring'''





													print(self.position							)






class 							__SCREAMING_SNAKE_CASE  :


							def __init__(     self :  int     ,      snake_case :  Any=(5, 5)							):
													'''simple docstring'''





													A__  :					Optional[int]											=					np.zeros(snake_case							)
													A__  :					List[Any]											=					world_size[0]
													A__  :					Dict											=					world_size[1]


							def   _UpperCamelCase    (     self :  Any							):
													'''simple docstring'''





													print(self.w							)


							def   _UpperCamelCase    (     self :  Optional[int]     ,      snake_case :  List[Any]							):
													'''simple docstring'''





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




def        _lowerCAmelCase						(							UpperCAmelCase__    :   List[str],  UpperCAmelCase__    :   Optional[Any],  UpperCAmelCase__    :   Dict )						->Dict:
						A__  :					Union[str, Any]											=					[]
						A__  :					Optional[int]											=					[]
						_open.append(UpperCAmelCase__ )

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

																		for c in _open:
																								if c == n and c.f < n.f:
																														continue
																		_open.append(UpperCAmelCase__ )
						A__  :					List[str]											=					[]
						while current.parent is not None:
												path.append(current.position )
												A__  :					Union[str, Any]											=					current.parent
						path.append(current.position )
						return path[::-1]


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






