




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowerCamelCase      :						Optional[Any]							=  {
    """configuration_pix2struct""": [
        """PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """Pix2StructConfig""",
        """Pix2StructTextConfig""",
        """Pix2StructVisionConfig""",
    ],
    """processing_pix2struct""": ["""Pix2StructProcessor"""],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase      :						Optional[Any]							=  ["""Pix2StructImageProcessor"""]


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase      :						int							=  [
      """PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """Pix2StructPreTrainedModel""",
      """Pix2StructForConditionalGeneration""",
      """Pix2StructVisionModel""",
      """Pix2StructTextModel""",
  ]

if TYPE_CHECKING:
  from .configuration_pixastruct import (
      PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
      PixaStructConfig,
      PixaStructTextConfig,
      PixaStructVisionConfig,
  )
  from .processing_pixastruct import PixaStructProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_pixastruct import PixaStructImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_pixastruct import (
        PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
        PixaStructForConditionalGeneration,
        PixaStructPreTrainedModel,
        PixaStructTextModel,
        PixaStructVisionModel,
    )

else:
  import sys

  _lowerCamelCase      :						int							=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










from __future__ import annotations

UpperCAmelCase__							  =						list[tuple[int, int]]

UpperCAmelCase__							  =						[
    [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__							  =						([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right






class 						lowercase_   :






      '''simple docstring'''




      def __init__( self :		Dict					,   __UpperCAmelCase :		int					,   __UpperCAmelCase :		int					,   __UpperCAmelCase :		int					,   __UpperCAmelCase :		int					,   __UpperCAmelCase :		float					,   __UpperCAmelCase :		Node | None					,   )       ->int:




       """simple docstring"""


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







      def  __lowerCAmelCase   ( self :		Any    )       ->float:




       """simple docstring"""


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







      def __lt__( self :		Any					,   __UpperCAmelCase :		Tuple    )       ->bool:




       """simple docstring"""


       return self.f_cost < other.f_cost






class 						lowercase_   :






      '''simple docstring'''




      def __init__( self :		Optional[Any]					,   __UpperCAmelCase :		tuple[int, int]					,   __UpperCAmelCase :		tuple[int, int]    )       ->Dict:




       """simple docstring"""


       a						    = Node(start[1]					,   start[0]					,   goal[1]					,   goal[0]					,   0					,   __UpperCAmelCase    )
       a						    = Node(goal[1]					,   goal[0]					,   goal[1]					,   goal[0]					,   99_999					,   __UpperCAmelCase    )

       a						    = [self.start]
       a						    = []

       a						    = False







      def  __lowerCAmelCase   ( self :		str    )       ->Path | None:




       """simple docstring"""


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

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

        self.closed_nodes.append(__UpperCAmelCase    )
        a						    = 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
          a						    = 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  __lowerCAmelCase   ( self :		Dict					,   __UpperCAmelCase :		Node    )       ->list[Node]:




       """simple docstring"""


       a						    = []
       for action in delta:
        a						    = parent.pos_x + action[1]
        a						    = 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  __lowerCAmelCase   ( self :		Optional[Any]					,   __UpperCAmelCase :		Node | None    )       ->Path:




       """simple docstring"""


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


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

     print("------")

     UpperCAmelCase__							  =						GreedyBestFirst(init, goal)
     UpperCAmelCase__							  =						greedy_bf.search()
     if path:
          for pos_x, pos_y in path:
               UpperCAmelCase__							  =						2

          for elem in grid:
               print(elem)


