

from __future__ import annotations

_SCREAMING_SNAKE_CASE  :						Tuple         =    list[tuple[int, int]]

_SCREAMING_SNAKE_CASE  :						List[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],
]

_SCREAMING_SNAKE_CASE  :						Optional[Any]         =    ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right






class  UpperCAmelCase__	:






  """simple docstring"""


  def __init__(							self		:	Optional[Any]			,     __lowerCamelCase		:	int			,     __lowerCamelCase		:	int			,     __lowerCamelCase		:	int			,     __lowerCamelCase		:	int			,     __lowerCamelCase		:	float			,     __lowerCamelCase		:	Node | None			,     )	->							List[str]:
       SCREAMING_SNAKE_CASE__			=					pos_x
       SCREAMING_SNAKE_CASE__			=					pos_y
       SCREAMING_SNAKE_CASE__			=					(pos_y, pos_x)
       SCREAMING_SNAKE_CASE__			=					goal_x
       SCREAMING_SNAKE_CASE__			=					goal_y
       SCREAMING_SNAKE_CASE__			=					g_cost
       SCREAMING_SNAKE_CASE__			=					parent
       SCREAMING_SNAKE_CASE__			=					self.calculate_heuristic()






  def    lowercase_	(							self		:	Union[str, Any]      )	->							float:
       SCREAMING_SNAKE_CASE__			=					abs(self.pos_x - self.goal_x      )
       SCREAMING_SNAKE_CASE__			=					abs(self.pos_y - self.goal_y      )
       return dx + dy







  def __lt__(							self		:	List[str]			,     __lowerCamelCase		:	int      )	->							bool:
       return self.f_cost < other.f_cost






class  UpperCAmelCase__	:






  """simple docstring"""


  def __init__(							self		:	Tuple			,     __lowerCamelCase		:	tuple[int, int]			,     __lowerCamelCase		:	tuple[int, int]      )	->							Optional[int]:
       SCREAMING_SNAKE_CASE__			=					Node(start[1]			,     start[0]			,     goal[1]			,     goal[0]			,     0			,     __lowerCamelCase      )
       SCREAMING_SNAKE_CASE__			=					Node(goal[1]			,     goal[0]			,     goal[1]			,     goal[0]			,     9_9999			,     __lowerCamelCase      )

       SCREAMING_SNAKE_CASE__			=					[self.start]
       SCREAMING_SNAKE_CASE__			=					[]

       SCREAMING_SNAKE_CASE__			=					False






  def    lowercase_	(							self		:	Optional[int]      )	->							Path | None:
       while self.open_nodes:
            # Open Nodes are sorted using __lt__
            self.open_nodes.sort()
            SCREAMING_SNAKE_CASE__			=					self.open_nodes.pop(0      )

            if current_node.pos == self.target.pos:
                 SCREAMING_SNAKE_CASE__			=					True
                 return self.retrace_path(__lowerCamelCase      )

            self.closed_nodes.append(__lowerCamelCase      )
            SCREAMING_SNAKE_CASE__			=					self.get_successors(__lowerCamelCase      )

            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(__lowerCamelCase      )
                 else:
                      # retrieve the best current path
                      SCREAMING_SNAKE_CASE__			=					self.open_nodes.pop(self.open_nodes.index(__lowerCamelCase      )      )

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

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






  def    lowercase_	(							self		:	int			,     __lowerCamelCase		:	Node      )	->							list[Node]:
       SCREAMING_SNAKE_CASE__			=					[]
       for action in delta:
            SCREAMING_SNAKE_CASE__			=					parent.pos_x + action[1]
            SCREAMING_SNAKE_CASE__			=					parent.pos_y + action[0]

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

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

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







  def    lowercase_	(							self		:	Optional[int]			,     __lowerCamelCase		:	Node | None      )	->							Path:
       SCREAMING_SNAKE_CASE__			=					node
       SCREAMING_SNAKE_CASE__			=					[]
       while current_node is not None:
            path.append((current_node.pos_y, current_node.pos_x)      )
            SCREAMING_SNAKE_CASE__			=					current_node.parent
       path.reverse()
       return path


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

       print('''------''')

       _SCREAMING_SNAKE_CASE  :						Union[str, Any]         =    GreedyBestFirst(init, goal)
       _SCREAMING_SNAKE_CASE  :						Optional[int]         =    greedy_bf.search()
       if path:
              for pos_x, pos_y in path:
                     _SCREAMING_SNAKE_CASE  :						Tuple         =    2

              for elem in grid:
                     print(elem)





from typing import List

import datasets
from datasets.tasks import AudioClassification

from ..folder_based_builder import folder_based_builder


_SCREAMING_SNAKE_CASE  :						Optional[Any]         =    datasets.utils.logging.get_logger(__name__)






class  UpperCAmelCase__	( folder_based_builder.FolderBasedBuilderConfig ):






  """simple docstring"""


  a     =      None
  a     =      None






class  UpperCAmelCase__	( folder_based_builder.FolderBasedBuilder ):






  """simple docstring"""


  a     =      datasets.Audio()
  a     =      "audio"
  a     =      AudioFolderConfig
  a     =      42  # definition at the bottom of the script
  a     =      AudioClassification(audio_column="audio"		,  label_column="label" )



_SCREAMING_SNAKE_CASE  :						str         =    [
    '''.aiff''',
    '''.au''',
    '''.avr''',
    '''.caf''',
    '''.flac''',
    '''.htk''',
    '''.svx''',
    '''.mat4''',
    '''.mat5''',
    '''.mpc2k''',
    '''.ogg''',
    '''.paf''',
    '''.pvf''',
    '''.raw''',
    '''.rf64''',
    '''.sd2''',
    '''.sds''',
    '''.ircam''',
    '''.voc''',
    '''.w64''',
    '''.wav''',
    '''.nist''',
    '''.wavex''',
    '''.wve''',
    '''.xi''',
    '''.mp3''',
    '''.opus''',
]
_SCREAMING_SNAKE_CASE  :						List[Any]         =    AUDIO_EXTENSIONS


