"""simple docstring"""

from __future__ import annotations

UpperCamelCase			:       str									=				list[tuple[int, int]]

UpperCamelCase			:       str									=				[
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

UpperCamelCase			:       Dict									=				([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right

class __lowerCAmelCase	:





     def __init__(			self			,  __UpperCAmelCase			,  __UpperCAmelCase			,  __UpperCAmelCase			,  __UpperCAmelCase			,  __UpperCAmelCase			,  __UpperCAmelCase			,  ):

      '''simple docstring'''




      __UpperCamelCase       						= pos_x
      __UpperCamelCase       						= pos_y
      __UpperCamelCase       						= (pos_y, pos_x)
      __UpperCamelCase       						= goal_x
      __UpperCamelCase       						= goal_y
      __UpperCamelCase       						= g_cost
      __UpperCamelCase       						= parent
      __UpperCamelCase       						= self.calculate_heuristic()





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= abs(self.pos_x - self.goal_x   )
      __UpperCamelCase       						= abs(self.pos_y - self.goal_y   )
      return dx + dy







     def __lt__(			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      return self.f_cost < other.f_cost


class __lowerCAmelCase	:





     def __init__(			self			,  __UpperCAmelCase			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= Node(start[1]			,  start[0]			,  goal[1]			,  goal[0]			,  0			,  __UpperCAmelCase   )
      __UpperCamelCase       						= Node(goal[1]			,  goal[0]			,  goal[1]			,  goal[0]			,  9_9999			,  __UpperCAmelCase   )

      __UpperCamelCase       						= [self.start]
      __UpperCamelCase       						= []

      __UpperCamelCase       						= False





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      while self.open_nodes:
       # Open Nodes are sorted using __lt__
       self.open_nodes.sort()
       __UpperCamelCase       						= self.open_nodes.pop(0   )

       if current_node.pos == self.target.pos:
        __UpperCamelCase       						= True
        return self.retrace_path(__UpperCAmelCase   )

       self.closed_nodes.append(__UpperCAmelCase   )
       __UpperCamelCase       						= self.get_successors(__UpperCAmelCase   )

       for child_node in successors:
        if child_node in self.closed_nodes:
         continue

        if child_node not in self.open_nodes:
         self.open_nodes.append(__UpperCAmelCase   )
        else:
         # retrieve the best current path
         __UpperCamelCase       						= self.open_nodes.pop(self.open_nodes.index(__UpperCAmelCase   )   )

         if child_node.g_cost < better_node.g_cost:
          self.open_nodes.append(__UpperCAmelCase   )
         else:
          self.open_nodes.append(__UpperCAmelCase   )

      if not self.reached:
       return [self.start.pos]
      return None





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= []
      for action in delta:
       __UpperCamelCase       						= parent.pos_x + action[1]
       __UpperCamelCase       						= parent.pos_y + action[0]

       if not (0 <= pos_x <= len(grid[0]   ) - 1 and 0 <= pos_y <= len(__UpperCAmelCase   ) - 1):
        continue

       if grid[pos_y][pos_x] != 0:
        continue

       successors.append(
           Node(
               __UpperCAmelCase			,  __UpperCAmelCase			,  self.target.pos_y			,  self.target.pos_x			,  parent.g_cost + 1			,  __UpperCAmelCase			,  )   )
      return successors







     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= node
      __UpperCamelCase       						= []
      while current_node is not None:
       path.append((current_node.pos_y, current_node.pos_x)   )
       __UpperCamelCase       						= current_node.parent
      path.reverse()
      return path


if __name__ == "__main__":
      UpperCamelCase			:       List[str]									=				(0, 0)
      UpperCamelCase			:       int									=				(len(grid) - 1, len(grid[0]) - 1)
      for elem in grid:
            print(elem)

      print("------")

      UpperCamelCase			:       Tuple									=				GreedyBestFirst(init, goal)
      UpperCamelCase			:       Any									=				greedy_bf.search()
      if path:
            for pos_x, pos_y in path:
                  UpperCamelCase			:       str									=				2

            for elem in grid:
                  print(elem)





"""simple docstring"""

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


UpperCamelCase			:       int									=				logging.get_logger(__name__)

UpperCamelCase			:       int									=				{
    "google/bit-50": "https://huggingface.co/google/bit-50/resolve/main/config.json",
}

class __lowerCAmelCase	(   __SCREAMING_SNAKE_CASE    ,						__SCREAMING_SNAKE_CASE    ):
     lowercase		     =		"bit"
     lowercase		     =		["preactivation", "bottleneck"]
     lowercase		     =		["SAME", "VALID"]





     def __init__(			self			,  __UpperCAmelCase=3			,  __UpperCAmelCase=64			,  __UpperCAmelCase=[256, 512, 1024, 2048]			,  __UpperCAmelCase=[3, 4, 6, 3]			,  __UpperCAmelCase="preactivation"			,  __UpperCAmelCase="relu"			,  __UpperCAmelCase=None			,  __UpperCAmelCase=32			,  __UpperCAmelCase=0.0			,  __UpperCAmelCase=False			,  __UpperCAmelCase=32			,  __UpperCAmelCase=1			,  __UpperCAmelCase=None			,  __UpperCAmelCase=None			,  **__UpperCAmelCase			,  ):

      '''simple docstring'''




      super().__init__(**__UpperCAmelCase   )
      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:
        __UpperCamelCase       						= global_padding.upper()
       else:
        raise ValueError(F'Padding strategy {global_padding} not supported'   )
      __UpperCamelCase       						= num_channels
      __UpperCamelCase       						= embedding_size
      __UpperCamelCase       						= hidden_sizes
      __UpperCamelCase       						= depths
      __UpperCamelCase       						= layer_type
      __UpperCamelCase       						= hidden_act
      __UpperCamelCase       						= global_padding
      __UpperCamelCase       						= num_groups
      __UpperCamelCase       						= drop_path_rate
      __UpperCamelCase       						= embedding_dynamic_padding
      __UpperCamelCase       						= output_stride
      __UpperCamelCase       						= width_factor

      __UpperCamelCase       						= ['stem'] + [F'stage{idx}' for idx in range(1			,  len(__UpperCAmelCase   ) + 1   )]
      __UpperCamelCase						,			__UpperCamelCase       						= get_aligned_output_features_output_indices(
          out_features=__UpperCAmelCase			,  out_indices=__UpperCAmelCase			,  stage_names=self.stage_names   )



