





import numpy as np

class   A							:



      def __init__(						self:    Tuple							)    ->     Any:
         '''simple docstring'''

         UpperCAmelCase_           =(0, 0)
         UpperCAmelCase_           =None
         UpperCAmelCase_           =0
         UpperCAmelCase_           =0
         UpperCAmelCase_           =0



      def __eq__(						self:    List[Any]		,	_lowerCAmelCase:    Union[str, Any]							)    ->     Union[str, Any]:
         '''simple docstring'''

         return self.position == cell.position






      def 						lowerCAmelCase__     (						self:    int							)    ->     Optional[int]:
         '''simple docstring'''

         print(self.position							)

class   A							:



      def __init__(						self:    Dict		,	_lowerCAmelCase:    Optional[int]=(5, 5)							)    ->     Dict:
         '''simple docstring'''

         UpperCAmelCase_           =np.zeros(_lowerCAmelCase							)
         UpperCAmelCase_           =world_size[0]
         UpperCAmelCase_           =world_size[1]



      def 						lowerCAmelCase__     (						self:    int							)    ->     Dict:
         '''simple docstring'''

         print(self.w							)






      def 						lowerCAmelCase__     (						self:    List[str]		,	_lowerCAmelCase:    List[Any]							)    ->     Tuple:
         '''simple docstring'''

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








from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader
class 						lowerCamelCase_							(					lowerCAmelCase__					):



					'''simple docstring'''







					def __init__(					self			,							snake_case_			,							snake_case_ = None			,							snake_case_ = None			,							snake_case_ = None			,							snake_case_ = False			,							snake_case_ = False			,							snake_case_ = None			,							**snake_case_			,							) ->      Dict:







								'''simple docstring'''

								super().__init__(
								    snake_case_			,							split=snake_case_			,							features=snake_case_			,							cache_dir=snake_case_			,							keep_in_memory=snake_case_			,							streaming=snake_case_			,							num_proc=snake_case_			,							**snake_case_			,							)
								__lowercase			       = path_or_paths if isinstance(snake_case_			,							snake_case_    ) else {self.split: path_or_paths}
								__lowercase			       = Text(
								    cache_dir=snake_case_			,							data_files=snake_case_			,							features=snake_case_			,							**snake_case_			,							)






					def A   (					self    ) ->      int:







								'''simple docstring'''

								if self.streaming:
											__lowercase			       = self.builder.as_streaming_dataset(split=self.split    )
								# Build regular (map-style) dataset
								else:
											__lowercase			       = None
											__lowercase			       = None
											__lowercase			       = None
											__lowercase			       = None

											self.builder.download_and_prepare(
											    download_config=snake_case_			,							download_mode=snake_case_			,							verification_mode=snake_case_			,							base_path=snake_case_			,							num_proc=self.num_proc			,							)
											__lowercase			       = self.builder.as_dataset(
											    split=self.split			,							verification_mode=snake_case_			,							in_memory=self.keep_in_memory    )
								return dataset


