





import os
import tempfile
from functools import partial
from unittest import TestCase
from unittest.mock import patch

import numpy as np
import pytest

from datasets.arrow_dataset import Dataset
from datasets.search import ElasticSearchIndex, FaissIndex, MissingIndex

from .utils import require_elasticsearch, require_faiss


UpperCamelCase__											= pytest.mark.integration

@require_faiss
class        __SCREAMING_SNAKE_CASE					(     _a       ):






							def 				_lowerCamelCase		(						self  ):
														UpperCamelCase__				     =			Dataset.from_dict({"""filename""": ["""my_name-train""" + """_""" + str(__lowerCAmelCase  ) for x in np.arange(30  ).tolist()]}  )
														return dset






							def 				_lowerCamelCase		(						self  ):
														import faiss

														UpperCamelCase__				     =			self._create_dummy_dataset()
														UpperCamelCase__				     =			dset.map(
														    lambda __lowerCAmelCase  , __lowerCAmelCase  : {"vecs": i * np.ones(5  , dtype=np.floataa  )}  , with_indices=__lowerCAmelCase  , keep_in_memory=__lowerCAmelCase  )
														UpperCamelCase__				     =			dset.add_faiss_index("""vecs"""  , batch_size=100  , metric_type=faiss.METRIC_INNER_PRODUCT  )
														UpperCamelCase__     ,     UpperCamelCase__				     =			dset.get_nearest_examples("""vecs"""  , np.ones(5  , dtype=np.floataa  )  )
														self.assertEqual(examples["""filename"""][0]  , """my_name-train_29"""  )
														dset.drop_index("""vecs"""  )






							def 				_lowerCamelCase		(						self  ):
														import faiss

														UpperCamelCase__				     =			self._create_dummy_dataset()
														dset.add_faiss_index_from_external_arrays(
														    external_arrays=np.ones((30, 5)  ) * np.arange(30  ).reshape(-1  , 1  )  , index_name="""vecs"""  , batch_size=100  , metric_type=faiss.METRIC_INNER_PRODUCT  , )
														UpperCamelCase__     ,     UpperCamelCase__				     =			dset.get_nearest_examples("""vecs"""  , np.ones(5  , dtype=np.floataa  )  )
														self.assertEqual(examples["""filename"""][0]  , """my_name-train_29"""  )






							def 				_lowerCamelCase		(						self  ):
														import faiss

														UpperCamelCase__				     =			self._create_dummy_dataset()
														dset.add_faiss_index_from_external_arrays(
														    external_arrays=np.ones((30, 5)  ) * np.arange(30  ).reshape(-1  , 1  )  , index_name="""vecs"""  , metric_type=faiss.METRIC_INNER_PRODUCT  , )

														# Setting delete=False and unlinking manually is not pretty... but it is required on Windows to
														# ensure somewhat stable behaviour. If we don't, we get PermissionErrors. This is an age-old issue.
														# see https://bugs.python.org/issue14243 and
														# https://stackoverflow.com/questions/23212435/permission-denied-to-write-to-my-temporary-file/23212515
														with tempfile.NamedTemporaryFile(delete=__lowerCAmelCase  ) as tmp_file:
																					dset.save_faiss_index("""vecs"""  , tmp_file.name  )
																					dset.load_faiss_index("""vecs2"""  , tmp_file.name  )
														os.unlink(tmp_file.name  )

														UpperCamelCase__     ,     UpperCamelCase__				     =			dset.get_nearest_examples("""vecs2"""  , np.ones(5  , dtype=np.floataa  )  )
														self.assertEqual(examples["""filename"""][0]  , """my_name-train_29"""  )






							def 				_lowerCamelCase		(						self  ):
														UpperCamelCase__				     =			self._create_dummy_dataset()
														dset.add_faiss_index_from_external_arrays(
														    external_arrays=np.ones((30, 5)  ) * np.arange(30  ).reshape(-1  , 1  )  , index_name="""vecs"""  )
														dset.drop_index("""vecs"""  )
														self.assertRaises(__lowerCAmelCase  , partial(dset.get_nearest_examples  , """vecs2"""  , np.ones(5  , dtype=np.floataa  )  )  )







							def 				_lowerCamelCase		(						self  ):
														from elasticsearch import Elasticsearch

														UpperCamelCase__				     =			self._create_dummy_dataset()
														with patch("""elasticsearch.Elasticsearch.search"""  ) as mocked_search, patch(
														    """elasticsearch.client.IndicesClient.create"""  ) as mocked_index_create, patch("""elasticsearch.helpers.streaming_bulk"""  ) as mocked_bulk:
																					UpperCamelCase__				     =			{"""acknowledged""": True}
																					mocked_bulk.return_value([(True, None)] * 30  )
																					UpperCamelCase__				     =			{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 29}]}}
																					UpperCamelCase__				     =			Elasticsearch()

																					dset.add_elasticsearch_index("""filename"""  , es_client=__lowerCAmelCase  )
																					UpperCamelCase__     ,     UpperCamelCase__				     =			dset.get_nearest_examples("""filename"""  , """my_name-train_29"""  )
																					self.assertEqual(examples["""filename"""][0]  , """my_name-train_29"""  )






@require_faiss
class        __SCREAMING_SNAKE_CASE					(     _a       ):






							def 				_lowerCamelCase		(						self  ):
														import faiss

														UpperCamelCase__				     =			FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT  )

														# add vectors
														index.add_vectors(np.eye(5  , dtype=np.floataa  )  )
														self.assertIsNotNone(index.faiss_index  )
														self.assertEqual(index.faiss_index.ntotal  , 5  )
														index.add_vectors(np.zeros((5, 5)  , dtype=np.floataa  )  )
														self.assertEqual(index.faiss_index.ntotal  , 10  )

														# single query
														UpperCamelCase__				     =			np.zeros(5  , dtype=np.floataa  )
														UpperCamelCase__				     =			1
														UpperCamelCase__     ,     UpperCamelCase__				     =			index.search(__lowerCAmelCase  )
														self.assertRaises(__lowerCAmelCase  , index.search  , query.reshape(-1  , 1  )  )
														self.assertGreater(scores[0]  , 0  )
														self.assertEqual(indices[0]  , 1  )

														# batched queries
														UpperCamelCase__				     =			np.eye(5  , dtype=np.floataa  )[::-1]
														UpperCamelCase__     ,     UpperCamelCase__				     =			index.search_batch(__lowerCAmelCase  )
														self.assertRaises(__lowerCAmelCase  , index.search_batch  , queries[0]  )
														UpperCamelCase__				     =			[scores[0] for scores in total_scores]
														UpperCamelCase__				     =			[indices[0] for indices in total_indices]
														self.assertGreater(np.min(__lowerCAmelCase  )  , 0  )
														self.assertListEqual([4, 3, 2, 1, 0]  , __lowerCAmelCase  )






							def 				_lowerCamelCase		(						self  ):
														import faiss

														UpperCamelCase__				     =			FaissIndex(string_factory="""Flat"""  )
														index.add_vectors(np.eye(5  , dtype=np.floataa  )  )
														self.assertIsInstance(index.faiss_index  , faiss.IndexFlat  )
														UpperCamelCase__				     =			FaissIndex(string_factory="""LSH"""  )
														index.add_vectors(np.eye(5  , dtype=np.floataa  )  )
														self.assertIsInstance(index.faiss_index  , faiss.IndexLSH  )
														with self.assertRaises(__lowerCAmelCase  ):
																					UpperCamelCase__				     =			FaissIndex(string_factory="""Flat"""  , custom_index=faiss.IndexFlat(5  )  )






							def 				_lowerCamelCase		(						self  ):
														import faiss

														UpperCamelCase__				     =			faiss.IndexFlat(5  )
														UpperCamelCase__				     =			FaissIndex(custom_index=__lowerCAmelCase  )
														index.add_vectors(np.eye(5  , dtype=np.floataa  )  )
														self.assertIsInstance(index.faiss_index  , faiss.IndexFlat  )







							def 				_lowerCamelCase		(						self  ):
														import faiss

														UpperCamelCase__				     =			FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT  )
														index.add_vectors(np.eye(5  , dtype=np.floataa  )  )

														# Setting delete=False and unlinking manually is not pretty... but it is required on Windows to
														# ensure somewhat stable behaviour. If we don't, we get PermissionErrors. This is an age-old issue.
														# see https://bugs.python.org/issue14243 and
														# https://stackoverflow.com/questions/23212435/permission-denied-to-write-to-my-temporary-file/23212515
														with tempfile.NamedTemporaryFile(delete=__lowerCAmelCase  ) as tmp_file:
																					index.save(tmp_file.name  )
																					UpperCamelCase__				     =			FaissIndex.load(tmp_file.name  )
														os.unlink(tmp_file.name  )

														UpperCamelCase__				     =			np.zeros(5  , dtype=np.floataa  )
														UpperCamelCase__				     =			1
														UpperCamelCase__     ,     UpperCamelCase__				     =			index.search(__lowerCAmelCase  )
														self.assertGreater(scores[0]  , 0  )
														self.assertEqual(indices[0]  , 1  )






@require_faiss
def     _UpperCamelCase     (a__   :Dict       ):






							"""simple docstring"""





							import faiss

							UpperCamelCase__				     =			FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT       )
							index.add_vectors(np.eye(5   ,			dtype=np.floataa       )       )

							UpperCamelCase__				     =			"""index.faiss"""
							UpperCamelCase__				     =			f"""mock://{index_name}"""
							index.save(a__   ,			storage_options=mockfs.storage_options       )
							UpperCamelCase__				     =			FaissIndex.load(a__   ,			storage_options=mockfs.storage_options       )

							UpperCamelCase__				     =			np.zeros(5   ,			dtype=np.floataa       )
							UpperCamelCase__				     =			1
							UpperCamelCase__     ,     UpperCamelCase__				     =			index.search(a__       )
							assert scores[0] > 0
							assert indices[0] == 1

@require_elasticsearch
class        __SCREAMING_SNAKE_CASE					(     _a       ):






							def 				_lowerCamelCase		(						self  ):
														from elasticsearch import Elasticsearch

														with patch("""elasticsearch.Elasticsearch.search"""  ) as mocked_search, patch(
														    """elasticsearch.client.IndicesClient.create"""  ) as mocked_index_create, patch("""elasticsearch.helpers.streaming_bulk"""  ) as mocked_bulk:
																					UpperCamelCase__				     =			Elasticsearch()
																					UpperCamelCase__				     =			{"""acknowledged""": True}
																					UpperCamelCase__				     =			ElasticSearchIndex(es_client=__lowerCAmelCase  )
																					mocked_bulk.return_value([(True, None)] * 3  )
																					index.add_documents(["""foo""", """bar""", """foobar"""]  )

																					# single query
																					UpperCamelCase__				     =			"""foo"""
																					UpperCamelCase__				     =			{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 0}]}}
																					UpperCamelCase__     ,     UpperCamelCase__				     =			index.search(__lowerCAmelCase  )
																					self.assertEqual(scores[0]  , 1  )
																					self.assertEqual(indices[0]  , 0  )

																					# single query with timeout
																					UpperCamelCase__				     =			"""foo"""
																					UpperCamelCase__				     =			{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 0}]}}
																					UpperCamelCase__     ,     UpperCamelCase__				     =			index.search(__lowerCAmelCase  , request_timeout=30  )
																					self.assertEqual(scores[0]  , 1  )
																					self.assertEqual(indices[0]  , 0  )

																					# batched queries
																					UpperCamelCase__				     =			["""foo""", """bar""", """foobar"""]
																					UpperCamelCase__				     =			{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 1}]}}
																					UpperCamelCase__     ,     UpperCamelCase__				     =			index.search_batch(__lowerCAmelCase  )
																					UpperCamelCase__				     =			[scores[0] for scores in total_scores]
																					UpperCamelCase__				     =			[indices[0] for indices in total_indices]
																					self.assertGreater(np.min(__lowerCAmelCase  )  , 0  )
																					self.assertListEqual([1, 1, 1]  , __lowerCAmelCase  )

																					# batched queries with timeout
																					UpperCamelCase__				     =			["""foo""", """bar""", """foobar"""]
																					UpperCamelCase__				     =			{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 1}]}}
																					UpperCamelCase__     ,     UpperCamelCase__				     =			index.search_batch(__lowerCAmelCase  , request_timeout=30  )
																					UpperCamelCase__				     =			[scores[0] for scores in total_scores]
																					UpperCamelCase__				     =			[indices[0] for indices in total_indices]
																					self.assertGreater(np.min(__lowerCAmelCase  )  , 0  )
																					self.assertListEqual([1, 1, 1]  , __lowerCAmelCase  )











import heapq
import sys

import numpy as np

UpperCamelCase__											= tuple[int, int]

class        __SCREAMING_SNAKE_CASE					:






							def __init__(						self  ):
														UpperCamelCase__				     =			[]
														UpperCamelCase__				     =			set()






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






							def 				_lowerCamelCase		(						self  ):
														return len(self.elements  ) == 0






							def 				_lowerCamelCase		(						self  , __lowerCAmelCase  , __lowerCAmelCase  ):
														if item not in self.set:
																					heapq.heappush(self.elements  , (priority, item)  )
																					self.set.add(__lowerCAmelCase  )
														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 				_lowerCamelCase		(						self  , __lowerCAmelCase  ):
														if item in self.set:
																					self.set.remove(__lowerCAmelCase  )
																					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 				_lowerCamelCase		(						self  ):
														return self.elements[0][1]







							def 				_lowerCamelCase		(						self  ):
														((UpperCamelCase__)     ,     (UpperCamelCase__))				     =			heapq.heappop(self.elements  )
														self.set.remove(__lowerCAmelCase  )
														return (priority, item)






def     _UpperCamelCase     (a__   :TPos   ,			a__   :TPos       ):






							"""simple docstring"""





							UpperCamelCase__				     =			np.array(a__       )
							UpperCamelCase__				     =			np.array(a__       )
							return np.linalg.norm(a - b       )





def     _UpperCamelCase     (a__   :TPos   ,			a__   :TPos       ):






							"""simple docstring"""





							return consistent_heuristic(a__   ,			a__       ) // t





def     _UpperCamelCase     (a__   :TPos   ,			a__   :TPos       ):






							"""simple docstring"""





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





def     _UpperCamelCase     (a__   :TPos   ,			a__   :int   ,			a__   :TPos   ,			a__   :dict[TPos, float]       ):






							"""simple docstring"""





							UpperCamelCase__				     =			g_function[start] + Wa * heuristics[i](a__   ,			a__       )
							return ans





def     _UpperCamelCase     (a__   :Optional[Any]   ,			a__   :Union[str, Any]   ,			a__   :int       ):






							"""simple docstring"""





							UpperCamelCase__				     =			np.chararray((n, n)       )
							for i in range(a__       ):
														for j in range(a__       ):
																					UpperCamelCase__				     =			"""*"""

							for i in range(a__       ):
														for j in range(a__       ):
																					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(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:-"""       )
							UpperCamelCase__				     =			back_pointer[goal]
							while x != start:
														print(a__   ,			end=""" """       )
														UpperCamelCase__				     =			back_pointer[x]
							print(a__       )
							sys.exit()





def     _UpperCamelCase     (a__   :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     _UpperCamelCase     (a__   :List[Any]   ,			a__   :Tuple   ,			a__   :Union[str, Any]   ,			a__   :Any   ,			a__   :str   ,			a__   :Optional[Any]   ,			a__   :List[Any]   ,			a__   :List[str]   ,			):






							"""simple docstring"""





							for itera in range(a__       ):
														open_list[itera].remove_element(a__       )
							# 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(a__       ) and neighbours not in visited:
																												# print("neighbour", neighbours)
																												visited.add(a__       )
																												UpperCamelCase__				     =			-1
																												UpperCamelCase__				     =			float("""inf"""       )

																					if valid(a__       ) 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(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     _UpperCamelCase     ():






							"""simple docstring"""





							UpperCamelCase__				     =			[]
							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


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

UpperCamelCase__											= [
    (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),
]
UpperCamelCase__											= make_common_ground()


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

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

UpperCamelCase__											= 1





def     _UpperCamelCase     (a__   :TPos   ,			a__   :TPos   ,			a__   :int       ):






							"""simple docstring"""





							UpperCamelCase__				     =			{start: 0, goal: float("""inf"""       )}
							UpperCamelCase__				     =			{start: -1, goal: -1}
							UpperCamelCase__				     =			[]
							UpperCamelCase__				     =			set()

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

							UpperCamelCase__				     =			[]
							UpperCamelCase__				     =			[]
							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:
																																			UpperCamelCase__     ,     UpperCamelCase__				     =			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:
																																			UpperCamelCase__				     =			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)




