


"""simple docstring"""






from __future__ import annotations

UpperCamelCase__				:List[str]			   =	[
    [-1, 0],  # left
    [0, -1],  # down
    [1, 0],  # right
    [0, 1],  # up
]





def 				A_       ( snake_case__       ,					snake_case__       ,					snake_case__       ,					snake_case__       ,					snake_case__       ,					)					->  tuple[list[list[int]], list[list[int]]]:
			_UpperCamelCase					:Tuple					     =	[
			    [0 for col in range(len(grid[0]		)		)] for row in range(len(snake_case__		)		)
			]  # the reference grid
			_UpperCamelCase					:str					     =	1
			_UpperCamelCase					:int					     =	[
			    [0 for col in range(len(grid[0]		)		)] for row in range(len(snake_case__		)		)
			]  # the action grid

			_UpperCamelCase					:Union[str, Any]					     =	init[0]
			_UpperCamelCase					:Union[str, Any]					     =	init[1]
			_UpperCamelCase					:int					     =	0
			_UpperCamelCase					:List[str]					     =	g + heuristic[x][y]  # cost from starting cell to destination cell
			_UpperCamelCase					:int					     =	[[f, g, x, y]]

			_UpperCamelCase					:Dict					     =	False  # flag that is set when search is complete
			_UpperCamelCase					:Optional[int]					     =	False  # flag set if we can't find expand

			while not found and not resign:
						if len(snake_case__		) == 0:
									raise ValueError('''Algorithm is unable to find solution'''		)
						else:  # to choose the least costliest action so as to move closer to the goal
									cell.sort()
									cell.reverse()
									_UpperCamelCase					:int					     =	cell.pop()
									_UpperCamelCase					:Optional[Any]					     =	next_cell[2]
									_UpperCamelCase					:Any					     =	next_cell[3]
									_UpperCamelCase					:List[Any]					     =	next_cell[1]

									if x == goal[0] and y == goal[1]:
												_UpperCamelCase					:Any					     =	True
									else:
												for i in range(len(snake_case__		)		):  # to try out different valid actions
															_UpperCamelCase					:Union[str, Any]					     =	x + DIRECTIONS[i][0]
															_UpperCamelCase					:Union[str, Any]					     =	y + DIRECTIONS[i][1]
															if xa >= 0 and xa < len(snake_case__		) and ya >= 0 and ya < len(grid[0]		):
																		if closed[xa][ya] == 0 and grid[xa][ya] == 0:
																					_UpperCamelCase					:int					     =	g + cost
																					_UpperCamelCase					:Dict					     =	ga + heuristic[xa][ya]
																					cell.append([fa, ga, xa, ya]		)
																					_UpperCamelCase					:List[Any]					     =	1
																					_UpperCamelCase					:int					     =	i
			_UpperCamelCase					:int					     =	[]
			_UpperCamelCase					:Optional[int]					     =	goal[0]
			_UpperCamelCase					:str					     =	goal[1]
			invpath.append([x, y]		)  # we get the reverse path from here
			while x != init[0] or y != init[1]:
						_UpperCamelCase					:List[str]					     =	x - DIRECTIONS[action[x][y]][0]
						_UpperCamelCase					:List[Any]					     =	y - DIRECTIONS[action[x][y]][1]
						_UpperCamelCase					:str					     =	xa
						_UpperCamelCase					:str					     =	ya
						invpath.append([x, y]		)

			_UpperCamelCase					:str					     =	[]
			for i in range(len(snake_case__		)		):
						path.append(invpath[len(snake_case__		) - 1 - i]		)
			return path, action


if __name__ == "__main__":
					UpperCamelCase__				:Union[str, Any]			   =	[
					    [0, 1, 0, 0, 0, 0],
					    [0, 1, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
					    [0, 1, 0, 0, 0, 0],
					    [0, 1, 0, 0, 1, 0],
					    [0, 0, 0, 0, 1, 0],
					]

					UpperCamelCase__				:int			   =	[0, 0]
					# all coordinates are given in format [y,x]
					UpperCamelCase__				:Any			   =	[len(grid) - 1, len(grid[0]) - 1]
					UpperCamelCase__				:Optional[int]			   =	1

					# the cost map which pushes the path closer to the goal
					UpperCamelCase__				:Tuple			   =	[[0 for row in range(len(grid[0]))] for col in range(len(grid))]
					for i in range(len(grid)):
										for j in range(len(grid[0])):
															UpperCamelCase__				:Tuple			   =	abs(i - goal[0]) + abs(j - goal[1])
															if grid[i][j] == 1:
																				# added extra penalty in the heuristic map
																				UpperCamelCase__				:int			   =	99

					UpperCamelCase__   ,			UpperCamelCase__				:List[str]			   =	search(grid, init, goal, cost, heuristic)

					print("""ACTION MAP""")
					for i in range(len(action)):
										print(action[i])

					for i in range(len(path)):
										print(path[i])





"""simple docstring"""






UpperCamelCase__				:Tuple			   =	frozenset(
    [
        """prompt""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
        """cross_attention_kwargs""",
    ]
)

UpperCamelCase__				:List[str]			   =	frozenset(["""prompt""", """negative_prompt"""])

UpperCamelCase__				:Tuple			   =	frozenset([])

UpperCamelCase__				:Union[str, Any]			   =	frozenset(["""image"""])

UpperCamelCase__				:str			   =	frozenset(
    [
        """image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

UpperCamelCase__				:Any			   =	frozenset(["""image"""])

UpperCamelCase__				:Optional[int]			   =	frozenset(
    [
        """prompt""",
        """image""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
    ]
)

UpperCamelCase__				:int			   =	frozenset(["""prompt""", """image""", """negative_prompt"""])

UpperCamelCase__				:Tuple			   =	frozenset(
    [
        # Text guided image variation with an image mask
        """prompt""",
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
    ]
)

UpperCamelCase__				:Any			   =	frozenset(["""prompt""", """image""", """mask_image""", """negative_prompt"""])

UpperCamelCase__				:Dict			   =	frozenset(
    [
        # image variation with an image mask
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

UpperCamelCase__				:Dict			   =	frozenset(["""image""", """mask_image"""])

UpperCamelCase__				:Tuple			   =	frozenset(
    [
        """example_image""",
        """image""",
        """mask_image""",
        """height""",
        """width""",
        """guidance_scale""",
    ]
)

UpperCamelCase__				:List[str]			   =	frozenset(["""example_image""", """image""", """mask_image"""])

UpperCamelCase__				:List[str]			   =	frozenset(["""class_labels"""])

UpperCamelCase__				:Union[str, Any]			   =	frozenset(["""class_labels"""])

UpperCamelCase__				:Any			   =	frozenset(["""batch_size"""])

UpperCamelCase__				:Optional[Any]			   =	frozenset([])

UpperCamelCase__				:Optional[Any]			   =	frozenset(["""batch_size"""])

UpperCamelCase__				:Optional[int]			   =	frozenset([])

UpperCamelCase__				:str			   =	frozenset(
    [
        """prompt""",
        """audio_length_in_s""",
        """guidance_scale""",
        """negative_prompt""",
        """prompt_embeds""",
        """negative_prompt_embeds""",
        """cross_attention_kwargs""",
    ]
)

UpperCamelCase__				:Union[str, Any]			   =	frozenset(["""prompt""", """negative_prompt"""])
UpperCamelCase__				:Tuple			   =	frozenset(["""input_tokens"""])

UpperCamelCase__				:int			   =	frozenset(["""input_tokens"""])

