





"""simple docstring"""



import heapq
import sys

import numpy as np

a_			=      tuple[int, int]






class 		__snake_case :





	"""simple docstring"""


	def __init__(   self  ):



					'''simple docstring'''




					__A   :						Union[str, Any]									=					[]
					__A   :						int									=					set()

	def  UpperCamelCase__(   self  ):



					'''simple docstring'''




					if not self.empty():
									return self.elements[0][0]
					else:
									return float('''inf'''  )

	def  UpperCamelCase__(   self  ):



					'''simple docstring'''




					return len(self.elements  ) == 0

	def  UpperCamelCase__(   self ,						__lowerCamelCase ,						__lowerCamelCase  ):



					'''simple docstring'''




					if item not in self.set:
									heapq.heappush(self.elements ,						(priority, item)  )
									self.set.add(lowercase_  )
					else:
									# update
									# print("update", item)
									__A   :						Dict									=					[]
									((__A)			,	(__A))   :						List[str]									=					heapq.heappop(self.elements  )
									while x != item:
													temp.append((pri, x)  )
													((__A)			,	(__A))   :						Optional[int]									=					heapq.heappop(self.elements  )
									temp.append((priority, item)  )
									for pro, xxx in temp:
													heapq.heappush(self.elements ,						(pro, xxx)  )

	def  UpperCamelCase__(   self ,						__lowerCamelCase  ):



					'''simple docstring'''




					if item in self.set:
									self.set.remove(lowercase_  )
									__A   :						int									=					[]
									((__A)			,	(__A))   :						Tuple									=					heapq.heappop(self.elements  )
									while x != item:
													temp.append((pro, x)  )
													((__A)			,	(__A))   :						List[str]									=					heapq.heappop(self.elements  )
									for prito, yyy in temp:
													heapq.heappush(self.elements ,						(prito, yyy)  )

	def  UpperCamelCase__(   self  ):



					'''simple docstring'''




					return self.elements[0][1]







	def  UpperCamelCase__(   self  ):



					'''simple docstring'''




					((__A)			,	(__A))   :						int									=					heapq.heappop(self.elements  )
					self.set.remove(lowercase_  )
					return (priority, item)







def 		__lowercase					(       snake_case_  :  str    ,snake_case_  :  str						)       ->List[str]:



				'''simple docstring'''







				__A   :						Optional[int]									=					np.array(a_						)
				__A   :						str									=					np.array(a_						)
				return np.linalg.norm(a - b						)







def 		__lowercase					(       snake_case_  :  List[Any]    ,snake_case_  :  int						)       ->Optional[Any]:



				'''simple docstring'''







				return consistent_heuristic(a_    ,a_						) // t







def 		__lowercase					(       snake_case_  :  List[Any]    ,snake_case_  :  Tuple						)       ->List[Any]:



				'''simple docstring'''







				return abs(p[0] - goal[0]						) + abs(p[1] - goal[1]						)







def 		__lowercase					(       snake_case_  :  List[str]    ,snake_case_  :  int    ,snake_case_  :  Tuple    ,snake_case_  :  Optional[Any]						)       ->Optional[int]:



				'''simple docstring'''







				__A   :						Union[str, Any]									=					g_function[start] + Wa * heuristics[i](a_    ,a_						)
				return ans







def 		__lowercase					(       snake_case_  :  Dict    ,snake_case_  :  List[Any]    ,snake_case_  :  List[Any]						)       ->Union[str, Any]:



				'''simple docstring'''







				__A   :						int									=					np.chararray((n, n)						)
				for i in range(a_						):
								for j in range(a_						):
												__A   :						List[Any]									=					'''*'''

				for i in range(a_						):
								for j in range(a_						):
												if (j, (n - 1) - i) in blocks:
																__A   :						Optional[Any]									=					'''#'''

				__A   :						Any									=					'''-'''
				__A   :						Optional[Any]									=					back_pointer[goal]
				while x != start:
								((__A)			,	(__A))   :						str									=					x
								# print(x)
								__A   :						Dict									=					'''-'''
								__A   :						Tuple									=					back_pointer[x]
				__A   :						Union[str, Any]									=					'''-'''

				for i in range(a_						):
								for j in range(a_						):
												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:-'''						)
				__A   :						Dict									=					back_pointer[goal]
				while x != start:
								print(a_    ,end=''' '''						)
								__A   :						int									=					back_pointer[x]
				print(a_						)
				sys.exit()







def 		__lowercase					(       snake_case_  :  Any						)       ->List[str]:



				'''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 		__lowercase					(       snake_case_  :  Union[str, Any]    ,snake_case_  :  Optional[Any]    ,snake_case_  :  List[str]    ,snake_case_  :  Tuple    ,snake_case_  :  Tuple    ,snake_case_  :  Dict    ,snake_case_  :  Optional[Any]    ,snake_case_  :  Dict    ,)       ->List[Any]:



				'''simple docstring'''







				for itera in range(a_						):
								open_list[itera].remove_element(a_						)
				# print("s", s)
				# print("j", j)
				((__A)			,	(__A))   :						Dict									=					s
				__A   :						Optional[int]									=					(x - 1, y)
				__A   :						Union[str, Any]									=					(x + 1, y)
				__A   :						int									=					(x, y + 1)
				__A   :						Union[str, Any]									=					(x, y - 1)

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

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







def 		__lowercase					(       )       ->Union[str, Any]:



				'''simple docstring'''







				__A   :						List[Any]									=					[]
				for x in range(1    ,5						):
								for y in range(1    ,6						):
												some_list.append((x, y)						)

				for x in range(15    ,20						):
								some_list.append((x, 17)						)

				for x in range(10    ,19						):
								for y in range(1    ,15						):
												some_list.append((x, y)						)

    # L block
				for x in range(1    ,4						):
								for y in range(12    ,19						):
												some_list.append((x, y)						)
				for x in range(3    ,13						):
								for y in range(16    ,19						):
												some_list.append((x, y)						)
				return some_list


a_			=      {0: consistent_heuristic, 1: heuristic_a, 2: heuristic_a}

a_			=      [
    (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),
]
a_			=      make_common_ground()


a_			=      blocks_blk
# hyper parameters
a_			=      1
a_			=      1
a_			=      20
a_			=      3  # one consistent and two other inconsistent

# start and end destination
a_			=      (0, 0)
a_			=      (n - 1, n - 1)

a_			=      1







def 		__lowercase					(       snake_case_  :  List[str]    ,snake_case_  :  Optional[Any]    ,snake_case_  :  Union[str, Any]						)       ->List[Any]:



				'''simple docstring'''







				__A   :						List[Any]									=					{start: 0, goal: float('''inf'''						)}
				__A   :						Tuple									=					{start: -1, goal: -1}
				__A   :						Optional[Any]									=					[]
				__A   :						List[str]									=					set()

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

				__A   :						Optional[int]									=					[]
				__A   :						Optional[int]									=					[]
				while open_list[0].minkey() < float('''inf'''						):
								for i in range(1    ,a_						):
												# 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(a_    ,a_    ,a_						)
																else:
																				__A			,	__A   :						Optional[int]									=					open_list[i].top_show()
																				visited.add(a_						)
																				expand_state(
																				    a_    ,a_    ,a_    ,a_    ,a_    ,a_    ,a_    ,a_    ,)
																				close_list_inad.append(a_						)
												else:
																if g_function[goal] <= open_list[0].minkey():
																				if g_function[goal] < float('''inf'''						):
																								do_something(a_    ,a_    ,a_						)
																else:
																				__A   :						str									=					open_list[0].top_show()
																				visited.add(a_						)
																				expand_state(
																				    a_    ,0    ,a_    ,a_    ,a_    ,a_    ,a_    ,a_    ,)
																				close_list_anchor.append(a_						)
				print('''No path found to goal'''						)
				print()
				for i in range(n - 1    ,-1    ,-1						):
								for j in range(a_						):
												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)











"""simple docstring"""



from typing import TYPE_CHECKING

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


a_			=      {
    """configuration_bloom""": ["""BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BloomConfig""", """BloomOnnxConfig"""],
}
try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a_			=      ["""BloomTokenizerFast"""]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a_			=      [
           """BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """BloomForCausalLM""",
           """BloomModel""",
           """BloomPreTrainedModel""",
           """BloomForSequenceClassification""",
           """BloomForTokenClassification""",
           """BloomForQuestionAnswering""",
       ]

if TYPE_CHECKING:
       from .configuration_bloom import BLOOM_PRETRAINED_CONFIG_ARCHIVE_MAP, BloomConfig, BloomOnnxConfig

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_bloom_fast import BloomTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_bloom import (
                  BLOOM_PRETRAINED_MODEL_ARCHIVE_LIST,
                  BloomForCausalLM,
                  BloomForQuestionAnswering,
                  BloomForSequenceClassification,
                  BloomForTokenClassification,
                  BloomModel,
                  BloomPreTrainedModel,
              )

else:
       import sys

       a_			=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




