'''simple docstring'''


from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType






class 						A   (   UpperCAmelCase   ):
							a_        =      ['''image_processor''', '''tokenizer''']
							a_        =      '''BlipImageProcessor'''
							a_        =      '''AutoTokenizer'''





							def __init__(      self				:							Optional[Any]     ,		__a				:							List[Any]     ,		__a				:							Optional[int]	)							->	int:
								__UpperCAmelCase							=			False
								super().__init__(__a     ,		__a	)
								__UpperCAmelCase							=			self.image_processor





							def __call__(      self				:							List[Any]     ,		__a				:							ImageInput = None     ,		__a				:							Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None     ,		__a				:							bool = True     ,		__a				:							Union[bool, str, PaddingStrategy] = False     ,		__a				:							Union[bool, str, TruncationStrategy] = None     ,		__a				:							Optional[int] = None     ,		__a				:							int = 0     ,		__a				:							Optional[int] = None     ,		__a				:							Optional[bool] = None     ,		__a				:							bool = False     ,		__a				:							bool = False     ,		__a				:							bool = False     ,		__a				:							bool = False     ,		__a				:							bool = False     ,		__a				:							bool = True     ,		__a				:							Optional[Union[str, TensorType]] = None     ,		**__a				:							Tuple     ,		)							->	BatchEncoding:
								if images is None and text is None:
									raise ValueError('''You have to specify either images or text.'''	)

								# Get only text
								if images is None:
									__UpperCAmelCase							=			self.tokenizer
									__UpperCAmelCase							=			self.tokenizer(
									    text=__a     ,		add_special_tokens=__a     ,		padding=__a     ,		truncation=__a     ,		max_length=__a     ,		stride=__a     ,		pad_to_multiple_of=__a     ,		return_attention_mask=__a     ,		return_overflowing_tokens=__a     ,		return_special_tokens_mask=__a     ,		return_offsets_mapping=__a     ,		return_token_type_ids=__a     ,		return_length=__a     ,		verbose=__a     ,		return_tensors=__a     ,		**__a     ,		)
									return text_encoding

								# add pixel_values
								__UpperCAmelCase							=			self.image_processor(__a     ,		return_tensors=__a	)

								if text is not None:
									__UpperCAmelCase							=			self.tokenizer(
									    text=__a     ,		add_special_tokens=__a     ,		padding=__a     ,		truncation=__a     ,		max_length=__a     ,		stride=__a     ,		pad_to_multiple_of=__a     ,		return_attention_mask=__a     ,		return_overflowing_tokens=__a     ,		return_special_tokens_mask=__a     ,		return_offsets_mapping=__a     ,		return_token_type_ids=__a     ,		return_length=__a     ,		verbose=__a     ,		return_tensors=__a     ,		**__a     ,		)
								else:
									__UpperCAmelCase							=			None

								if text_encoding is not None:
									encoding_image_processor.update(__a	)

								return encoding_image_processor





							def       snake_case__						(      self				:							Tuple     ,		*__a				:							Dict     ,		**__a				:							Dict	)							->	Optional[int]:
								return self.tokenizer.batch_decode(*__a     ,		**__a	)





							def       snake_case__						(      self				:							Optional[Any]     ,		*__a				:							Dict     ,		**__a				:							Dict	)							->	List[Any]:
								return self.tokenizer.decode(*__a     ,		**__a	)






							@property
							# Copied from transformers.models.blip.processing_blip.BlipProcessor.model_input_names
							def       snake_case__						(      self				:							Union[str, Any]	)							->	Tuple:
								__UpperCAmelCase							=			self.tokenizer.model_input_names
								__UpperCAmelCase							=			self.image_processor.model_input_names
								return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names	)	)

'''simple docstring'''


import heapq
import sys

import numpy as np

__lowerCAmelCase	:       Any						       =	tuple[int, int]






class 						A   :





							def __init__(      self				:							Optional[int]	)							->	int:
								__UpperCAmelCase							=			[]
								__UpperCAmelCase							=			set()





							def       snake_case__						(      self				:							Optional[Any]	)							->	List[Any]:
								if not self.empty():
									return self.elements[0][0]
								else:
									return float('''inf'''	)





							def       snake_case__						(      self				:							Dict	)							->	Optional[int]:
								return len(self.elements	) == 0





							def       snake_case__						(      self				:							Optional[int]     ,		__a				:							Optional[Any]     ,		__a				:							Dict	)							->	Optional[Any]:
								if item not in self.set:
									heapq.heappush(self.elements     ,		(priority, item)	)
									self.set.add(__a	)
								else:
									# update
									# print("update", item)
									__UpperCAmelCase							=			[]
									((__UpperCAmelCase)				,			(__UpperCAmelCase))							=			heapq.heappop(self.elements	)
									while x != item:
										temp.append((pri, x)	)
										((__UpperCAmelCase)				,			(__UpperCAmelCase))							=			heapq.heappop(self.elements	)
									temp.append((priority, item)	)
									for pro, xxx in temp:
										heapq.heappush(self.elements     ,		(pro, xxx)	)





							def       snake_case__						(      self				:							int     ,		__a				:							Any	)							->	int:
								if item in self.set:
									self.set.remove(__a	)
									__UpperCAmelCase							=			[]
									((__UpperCAmelCase)				,			(__UpperCAmelCase))							=			heapq.heappop(self.elements	)
									while x != item:
										temp.append((pro, x)	)
										((__UpperCAmelCase)				,			(__UpperCAmelCase))							=			heapq.heappop(self.elements	)
									for prito, yyy in temp:
										heapq.heappush(self.elements     ,		(prito, yyy)	)





							def       snake_case__						(      self				:							List[str]	)							->	Dict:
								return self.elements[0][1]






							def       snake_case__						(      self				:							Any	)							->	List[str]:
								((__UpperCAmelCase)				,			(__UpperCAmelCase))							=			heapq.heappop(self.elements	)
								self.set.remove(__a	)
								return (priority, item)





def       lowerCAmelCase					(		UpperCamelCase__				:   TPos    ,					UpperCamelCase__				:   TPos       ):


	"""simple docstring"""
	# euclidean distance
	__UpperCAmelCase							=			np.array(UpperCamelCase__       )
	__UpperCAmelCase							=			np.array(UpperCamelCase__       )
	return np.linalg.norm(a - b       )





def       lowerCAmelCase					(		UpperCamelCase__				:   TPos    ,					UpperCamelCase__				:   TPos       ):


	"""simple docstring"""
	# integer division by time variable
	return consistent_heuristic(UpperCamelCase__    ,					UpperCamelCase__       ) // t





def       lowerCAmelCase					(		UpperCamelCase__				:   TPos    ,					UpperCamelCase__				:   TPos       ):


	"""simple docstring"""
	# manhattan distance
	return abs(p[0] - goal[0]       ) + abs(p[1] - goal[1]       )





def       lowerCAmelCase					(		UpperCamelCase__				:   TPos    ,					UpperCamelCase__				:   int    ,					UpperCamelCase__				:   TPos    ,					UpperCamelCase__				:   dict[TPos, float]       ):


	"""simple docstring"""
	__UpperCAmelCase							=			g_function[start] + Wa * heuristics[i](UpperCamelCase__    ,					UpperCamelCase__       )
	return ans





def       lowerCAmelCase					(		UpperCamelCase__				:   List[Any]    ,					UpperCamelCase__				:   int    ,					UpperCamelCase__				:   Optional[int]       ):


	"""simple docstring"""
	__UpperCAmelCase							=			np.chararray((n, n)       )
	for i in range(UpperCamelCase__       ):
		for j in range(UpperCamelCase__       ):
			__UpperCAmelCase							=			'''*'''

	for i in range(UpperCamelCase__       ):
		for j in range(UpperCamelCase__       ):
			if (j, (n - 1) - i) in blocks:
				__UpperCAmelCase							=			'''#'''

	__UpperCAmelCase							=			'''-'''
	__UpperCAmelCase							=			back_pointer[goal]
	while x != start:
		((__UpperCAmelCase)				,			(__UpperCAmelCase))							=			x
		# print(x)
		__UpperCAmelCase							=			'''-'''
		__UpperCAmelCase							=			back_pointer[x]
	__UpperCAmelCase							=			'''-'''

	for i in range(UpperCamelCase__       ):
		for j in range(UpperCamelCase__       ):
			if (i, j) == (0, n - 1):
				print(grid[i][j]    ,					end=''' '''       )
				print('''<-- End position'''    ,					end=''' '''       )
			else:
				print(grid[i][j]    ,					end=''' '''       )
		print()
	print('''^'''       )
	print('''Start position'''       )
	print()
	print('''# is an obstacle'''       )
	print('''- is the path taken by algorithm'''       )
	print('''PATH TAKEN BY THE ALGORITHM IS:-'''       )
	__UpperCAmelCase							=			back_pointer[goal]
	while x != start:
		print(UpperCamelCase__    ,					end=''' '''       )
		__UpperCAmelCase							=			back_pointer[x]
	print(UpperCamelCase__       )
	sys.exit()





def       lowerCAmelCase					(		UpperCamelCase__				:   TPos       ):


	"""simple docstring"""
	if p[0] < 0 or p[0] > n - 1:
		return False
	if p[1] < 0 or p[1] > n - 1:
		return False
	return True





def       lowerCAmelCase					(		UpperCamelCase__				:   Optional[Any]    ,					UpperCamelCase__				:   int    ,					UpperCamelCase__				:   List[Any]    ,					UpperCamelCase__				:   Dict    ,					UpperCamelCase__				:   Dict    ,					UpperCamelCase__				:   Dict    ,					UpperCamelCase__				:   List[Any]    ,					UpperCamelCase__				:   Tuple    ,					):


	"""simple docstring"""
	for itera in range(UpperCamelCase__       ):
		open_list[itera].remove_element(UpperCamelCase__       )
	# print("s", s)
	# print("j", j)
	((__UpperCAmelCase)				,			(__UpperCAmelCase))							=			s
	__UpperCAmelCase							=			(x - 1, y)
	__UpperCAmelCase							=			(x + 1, y)
	__UpperCAmelCase							=			(x, y + 1)
	__UpperCAmelCase							=			(x, y - 1)

	for neighbours in [left, right, up, down]:
		if neighbours not in blocks:
			if valid(UpperCamelCase__       ) and neighbours not in visited:
				# print("neighbour", neighbours)
				visited.add(UpperCamelCase__       )
				__UpperCAmelCase							=			-1
				__UpperCAmelCase							=			float('''inf'''       )

			if valid(UpperCamelCase__       ) and g_function[neighbours] > g_function[s] + 1:
				__UpperCAmelCase							=			g_function[s] + 1
				__UpperCAmelCase							=			s
				if neighbours not in close_list_anchor:
					open_list[0].put(UpperCamelCase__    ,					key(UpperCamelCase__    ,					0    ,					UpperCamelCase__    ,					UpperCamelCase__       )       )
					if neighbours not in close_list_inad:
						for var in range(1    ,					UpperCamelCase__       ):
							if key(UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__       ) <= Wa * key(
							    UpperCamelCase__    ,					0    ,					UpperCamelCase__    ,					UpperCamelCase__       ):
								open_list[j].put(
								    UpperCamelCase__    ,					key(UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__       )       )





def       lowerCAmelCase					(		):


	"""simple docstring"""
	__UpperCAmelCase							=			[]
	for x in range(1    ,					5       ):
		for y in range(1    ,					6       ):
			some_list.append((x, y)       )

	for x in range(1_5    ,					2_0       ):
		some_list.append((x, 1_7)       )

	for x in range(1_0    ,					1_9       ):
		for y in range(1    ,					1_5       ):
			some_list.append((x, y)       )

    # L block
	for x in range(1    ,					4       ):
		for y in range(1_2    ,					1_9       ):
			some_list.append((x, y)       )
	for x in range(3    ,					1_3       ):
		for y in range(1_6    ,					1_9       ):
			some_list.append((x, y)       )
	return some_list


__lowerCAmelCase	:       Optional[Any]						       =	{0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

__lowerCAmelCase	:       List[Any]						       =	[
    (0, 1),
    (1, 1),
    (2, 1),
    (3, 1),
    (4, 1),
    (5, 1),
    (6, 1),
    (7, 1),
    (8, 1),
    (9, 1),
    (10, 1),
    (11, 1),
    (12, 1),
    (13, 1),
    (14, 1),
    (15, 1),
    (16, 1),
    (17, 1),
    (18, 1),
    (19, 1),
]
__lowerCAmelCase	:       Dict						       =	make_common_ground()


__lowerCAmelCase	:       int						       =	blocks_blk
# hyper parameters
__lowerCAmelCase	:       Dict						       =	1
__lowerCAmelCase	:       List[str]						       =	1
__lowerCAmelCase	:       Union[str, Any]						       =	20
__lowerCAmelCase	:       Any						       =	3  # one consistent and two other inconsistent

# start and end destination
__lowerCAmelCase	:       Optional[Any]						       =	(0, 0)
__lowerCAmelCase	:       Any						       =	(n - 1, n - 1)

__lowerCAmelCase	:       Optional[int]						       =	1





def       lowerCAmelCase					(		UpperCamelCase__				:   TPos    ,					UpperCamelCase__				:   TPos    ,					UpperCamelCase__				:   int       ):


	"""simple docstring"""
	__UpperCAmelCase							=			{start: 0, goal: float('''inf'''       )}
	__UpperCAmelCase							=			{start: -1, goal: -1}
	__UpperCAmelCase							=			[]
	__UpperCAmelCase							=			set()

	for i in range(UpperCamelCase__       ):
		open_list.append(PriorityQueue()       )
		open_list[i].put(UpperCamelCase__    ,					key(UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__       )       )

	__UpperCAmelCase							=			[]
	__UpperCAmelCase							=			[]
	while open_list[0].minkey() < float('''inf'''       ):
		for i in range(1    ,					UpperCamelCase__       ):
			# print(open_list[0].minkey(), open_list[i].minkey())
			if open_list[i].minkey() <= Wa * open_list[0].minkey():
				global t
				t += 1
				if g_function[goal] <= open_list[i].minkey():
					if g_function[goal] < float('''inf'''       ):
						do_something(UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__       )
				else:
					__UpperCAmelCase				,			__UpperCAmelCase							=			open_list[i].top_show()
					visited.add(UpperCamelCase__       )
					expand_state(
					    UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					)
					close_list_inad.append(UpperCamelCase__       )
			else:
				if g_function[goal] <= open_list[0].minkey():
					if g_function[goal] < float('''inf'''       ):
						do_something(UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__       )
				else:
					__UpperCAmelCase							=			open_list[0].top_show()
					visited.add(UpperCamelCase__       )
					expand_state(
					    UpperCamelCase__    ,					0    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					UpperCamelCase__    ,					)
					close_list_anchor.append(UpperCamelCase__       )
	print('''No path found to goal'''       )
	print()
	for i in range(n - 1    ,					-1    ,					-1       ):
		for j in range(UpperCamelCase__       ):
			if (j, i) in blocks:
				print('''#'''    ,					end=''' '''       )
			elif (j, i) in back_pointer:
				if (j, i) == (n - 1, n - 1):
					print('''*'''    ,					end=''' '''       )
				else:
					print('''-'''    ,					end=''' '''       )
			else:
				print('''*'''    ,					end=''' '''       )
			if (j, i) == (n - 1, n - 1):
				print('''<-- End position'''    ,					end=''' '''       )
		print()
	print('''^'''       )
	print('''Start position'''       )
	print()
	print('''# is an obstacle'''       )
	print('''- is the path taken by algorithm'''       )


if __name__ == "__main__":
					multi_a_star(start, goal, n_heuristic)
