import numpy as np


class _lowercase       :





							"""simple docstring"""




							def __init__(     self	):







														'''simple docstring'''






														_lowercase					=						(0, 0)
														_lowercase					=						None
														_lowercase					=						0
														_lowercase					=						0
														_lowercase					=						0



							def __eq__(     self  , UpperCAmelCase	):







														'''simple docstring'''






														return self.position == cell.position



							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														print(self.position	)






class _lowercase       :





							"""simple docstring"""




							def __init__(     self  , UpperCAmelCase=(5, 5)	):







														'''simple docstring'''






														_lowercase					=						np.zeros(lowercase_	)
														_lowercase					=						world_size[0]
														_lowercase					=						world_size[1]



							def      _UpperCAmelCase							(     self	):







														'''simple docstring'''






														print(self.w	)



							def      _UpperCAmelCase							(     self  , UpperCAmelCase	):







														'''simple docstring'''






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






def        __lowerCAmelCase      (	_A			,_A			,_A       ):



							"""simple docstring"""


							_lowercase					=						[]
							_lowercase					=						[]
							_open.append(A_       )

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

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


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





"""simple docstring"""





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


__UpperCamelCase    : Tuple				 =						logging.get_logger(__name__)

__UpperCamelCase    : Optional[int]				 =						{
    '''google/bit-50''': '''https://huggingface.co/google/bit-50/resolve/main/config.json''',
}







class 							SCREAMING_SNAKE_CASE   (						a_       ,				a_			):






					"""simple docstring"""



					lowercase__												=			"bit"
					lowercase__												=			["preactivation", "bottleneck"]
					lowercase__												=			["SAME", "VALID"]







					def __init__(			self     :							int  ,lowercase_     :							Optional[int]=3  ,lowercase_     :							int=6_4  ,lowercase_     :							Optional[int]=[2_5_6, 5_1_2, 1_0_2_4, 2_0_4_8]  ,lowercase_     :							Union[str, Any]=[3, 4, 6, 3]  ,lowercase_     :							List[Any]="preactivation"  ,lowercase_     :							Dict="relu"  ,lowercase_     :							Dict=None  ,lowercase_     :							Optional[Any]=3_2  ,lowercase_     :							Any=0.0  ,lowercase_     :							Optional[Any]=False  ,lowercase_     :							List[Any]=3_2  ,lowercase_     :							Optional[Any]=1  ,lowercase_     :							Optional[int]=None  ,lowercase_     :							int=None  ,**lowercase_     :							List[str]  ,):
						super().__init__(**lowercase_						)
						if layer_type not in self.layer_types:
							raise ValueError(F'layer_type={layer_type} is not one of {",".join(self.layer_types						)}'						)
						if global_padding is not None:
							if global_padding.upper() in self.supported_padding:
								lowerCAmelCase__      :		Optional[Any]    							=      global_padding.upper()
							else:
								raise ValueError(F'Padding strategy {global_padding} not supported'						)
						lowerCAmelCase__      :		int    							=      num_channels
						lowerCAmelCase__      :		int    							=      embedding_size
						lowerCAmelCase__      :		Any    							=      hidden_sizes
						lowerCAmelCase__      :		int    							=      depths
						lowerCAmelCase__      :		Union[str, Any]    							=      layer_type
						lowerCAmelCase__      :		Optional[int]    							=      hidden_act
						lowerCAmelCase__      :		int    							=      global_padding
						lowerCAmelCase__      :		List[Any]    							=      num_groups
						lowerCAmelCase__      :		List[Any]    							=      drop_path_rate
						lowerCAmelCase__      :		Union[str, Any]    							=      embedding_dynamic_padding
						lowerCAmelCase__      :		int    							=      output_stride
						lowerCAmelCase__      :		Optional[Any]    							=      width_factor

						lowerCAmelCase__      :		List[str]    							=      ['''stem'''] + [F'stage{idx}' for idx in range(1  ,len(lowercase_						) + 1						)]
						lowerCAmelCase__							,lowerCAmelCase__      :		Any    							=      get_aligned_output_features_output_indices(
						    out_features=lowercase_  ,out_indices=lowercase_  ,stage_names=self.stage_names						)




