


'''simple docstring'''






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 		a__    (							a__  ):





       '''simple docstring'''






       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Optional[int]:
              lowerCAmelCase__	       =     Dataset.from_dict({'''filename''': ['''my_name-train''' + '''_''' + str(lowerCamelCase_       ) for x in np.arange(30       ).tolist()]}       )
              return dset







       def   __SCREAMING_SNAKE_CASE							(		self       )	->							List[Any]:
              import faiss

              lowerCAmelCase__	       =     self._create_dummy_dataset()
              lowerCAmelCase__	       =     dset.map(
                  lambda lowerCamelCase_ ,   lowerCamelCase_       : {"vecs": i * np.ones(5 ,   dtype=np.floataa       )} ,   with_indices=lowerCamelCase_ ,   keep_in_memory=lowerCamelCase_       )
              lowerCAmelCase__	       =     dset.add_faiss_index('''vecs''' ,   batch_size=1_00 ,   metric_type=faiss.METRIC_INNER_PRODUCT       )
              lowerCAmelCase__       , lowerCAmelCase__	       =     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   __SCREAMING_SNAKE_CASE							(		self       )	->							List[str]:
              import faiss

              lowerCAmelCase__	       =     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=1_00 ,   metric_type=faiss.METRIC_INNER_PRODUCT ,   )
              lowerCAmelCase__       , lowerCAmelCase__	       =     dset.get_nearest_examples('''vecs''' ,   np.ones(5 ,   dtype=np.floataa       )       )
              self.assertEqual(examples['''filename'''][0] ,   '''my_name-train_29'''       )







       def   __SCREAMING_SNAKE_CASE							(		self       )	->							int:
              import faiss

              lowerCAmelCase__	       =     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       )

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







       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Union[str, Any]:
              lowerCAmelCase__	       =     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   __SCREAMING_SNAKE_CASE							(		self       )	->							Any:
              from elasticsearch import Elasticsearch

              lowerCAmelCase__	       =     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:
                     lowerCAmelCase__	       =     {'''acknowledged''': True}
                     mocked_bulk.return_value([(True, None)] * 30       )
                     lowerCAmelCase__	       =     {'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 29}]}}
                     lowerCAmelCase__	       =     Elasticsearch()

                     dset.add_elasticsearch_index('''filename''' ,   es_client=lowerCamelCase_       )
                     lowerCAmelCase__       , lowerCAmelCase__	       =     dset.get_nearest_examples('''filename''' ,   '''my_name-train_29'''       )
                     self.assertEqual(examples['''filename'''][0] ,   '''my_name-train_29'''       )




@require_faiss
class 		a__    (							a__  ):





       '''simple docstring'''






       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Union[str, Any]:
              import faiss

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

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







       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Any:
              import faiss

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







       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Optional[int]:
              import faiss

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







       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Tuple:
              import faiss

              lowerCAmelCase__	       =     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       )
                     lowerCAmelCase__	       =     FaissIndex.load(tmp_file.name       )
              os.unlink(tmp_file.name       )

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


@require_faiss
def  _snake_case       (					A	)						->   Tuple:
       import faiss

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

       lowerCAmelCase__	       =     '''index.faiss'''
       lowerCAmelCase__	       =     F"""mock://{index_name}"""
       index.save(A			,   storage_options=mockfs.storage_options	)
       lowerCAmelCase__	       =     FaissIndex.load(A			,   storage_options=mockfs.storage_options	)

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






@require_elasticsearch
class 		a__    (							a__  ):





       '''simple docstring'''






       def   __SCREAMING_SNAKE_CASE							(		self       )	->							Optional[int]:
              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:
                     lowerCAmelCase__	       =     Elasticsearch()
                     lowerCAmelCase__	       =     {'''acknowledged''': True}
                     lowerCAmelCase__	       =     ElasticSearchIndex(es_client=lowerCamelCase_       )
                     mocked_bulk.return_value([(True, None)] * 3       )
                     index.add_documents(['''foo''', '''bar''', '''foobar''']       )

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

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

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

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



'''simple docstring'''






from collections.abc import Iterable
from typing import Any




class 		a__    :





							'''simple docstring'''






							def __init__(		self ,   lowerCamelCase_ = None       )	->							List[str]:
														lowerCAmelCase__	       =     value
														lowerCAmelCase__	       =     None  # Added in order to delete a node easier
														lowerCAmelCase__	       =     None
														lowerCAmelCase__	       =     None







							def __repr__(		self       )	->							str:
														from pprint import pformat

														if self.left is None and self.right is None:
																					return str(self.value       )
														return pformat({F"""{self.value}""": (self.left, self.right)} ,   indent=1       )




class 		a__    :





							'''simple docstring'''






							def __init__(		self ,   lowerCamelCase_ = None       )	->							Union[str, Any]:
														lowerCAmelCase__	       =     root







							def __str__(		self       )	->							str:
														return str(self.root       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_       )	->							None:
														if new_children is not None:  # reset its kids
																					lowerCAmelCase__	       =     node.parent
														if node.parent is not None:  # reset its parent
																					if self.is_right(lowerCamelCase_       ):  # If it is the right children
																												lowerCAmelCase__	       =     new_children
																					else:
																												lowerCAmelCase__	       =     new_children
														else:
																					lowerCAmelCase__	       =     new_children







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							bool:
														if node.parent and node.parent.right:
																					return node == node.parent.right
														return False







							def   __SCREAMING_SNAKE_CASE							(		self       )	->							bool:
														return self.root is None







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							None:
														lowerCAmelCase__	       =     Node(lowerCamelCase_       )  # create a new Node
														if self.empty():  # if Tree is empty
																					lowerCAmelCase__	       =     new_node  # set its root
														else:  # Tree is not empty
																					lowerCAmelCase__	       =     self.root  # from root
																					if parent_node is None:
																												return
																					while True:  # While we don't get to a leaf
																												if value < parent_node.value:  # We go left
																																			if parent_node.left is None:
																																										lowerCAmelCase__	       =     new_node  # We insert the new node in a leaf
																																										break
																																			else:
																																										lowerCAmelCase__	       =     parent_node.left
																												else:
																																			if parent_node.right is None:
																																										lowerCAmelCase__	       =     new_node
																																										break
																																			else:
																																										lowerCAmelCase__	       =     parent_node.right
																					lowerCAmelCase__	       =     parent_node







							def   __SCREAMING_SNAKE_CASE							(		self ,   *lowerCamelCase_       )	->							None:
														for value in values:
																					self.__insert(lowerCamelCase_       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							Node | None:
														if self.empty():
																					raise IndexError('''Warning: Tree is empty! please use another.'''       )
														else:
																					lowerCAmelCase__	       =     self.root
																					# use lazy evaluation here to avoid NoneType Attribute error
																					while node is not None and node.value is not value:
																												lowerCAmelCase__	       =     node.left if value < node.value else node.right
																					return node







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ = None       )	->							Node | None:
														if node is None:
																					if self.root is None:
																												return None
																					lowerCAmelCase__	       =     self.root

														if not self.empty():
																					while node.right is not None:
																												lowerCAmelCase__	       =     node.right
														return node







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ = None       )	->							Node | None:
														if node is None:
																					lowerCAmelCase__	       =     self.root
														if self.root is None:
																					return None
														if not self.empty():
																					lowerCAmelCase__	       =     self.root
																					while node.left is not None:
																												lowerCAmelCase__	       =     node.left
														return node







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							None:
														lowerCAmelCase__	       =     self.search(lowerCamelCase_       )  # Look for the node with that label
														if node is not None:
																					if node.left is None and node.right is None:  # If it has no children
																												self.__reassign_nodes(lowerCamelCase_ ,   lowerCamelCase_       )
																					elif node.left is None:  # Has only right children
																												self.__reassign_nodes(lowerCamelCase_ ,   node.right       )
																					elif node.right is None:  # Has only left children
																												self.__reassign_nodes(lowerCamelCase_ ,   node.left       )
																					else:
																												lowerCAmelCase__	       =     self.get_max(
																												    node.left       )  # Gets the max value of the left branch
																												self.remove(tmp_node.value       )  # type: ignore
																												lowerCAmelCase__	       =     (
																												    tmp_node.value  # type: ignore
																												)  # Assigns the value to the node to delete and keep tree structure







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							Iterable:
														if node is not None:
																					yield node  # Preorder Traversal
																					yield from self.preorder_traverse(node.left       )
																					yield from self.preorder_traverse(node.right       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_=None       )	->							Any:
														if traversal_function is None:
																					return self.preorder_traverse(self.root       )
														else:
																					return traversal_function(self.root       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_       )	->							None:
														if node:
																					self.inorder(lowerCamelCase_ ,   node.left       )
																					arr.append(node.value       )
																					self.inorder(lowerCamelCase_ ,   node.right       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_       )	->							int:
														lowerCAmelCase__	       =     []
														self.inorder(lowerCamelCase_ ,   lowerCamelCase_       )  # append all values to list using inorder traversal
														return arr[k - 1]


def  _snake_case       (					A	)						->   list[Node]:
							lowerCAmelCase__	       =     []
							if curr_node is not None:
														lowerCAmelCase__	       =     postorder(curr_node.left	) + postorder(curr_node.right	) + [curr_node]
							return node_list


def  _snake_case       (					)						->   None:
							lowerCAmelCase__	       =     (8, 3, 6, 1, 10, 14, 13, 4, 7)
							lowerCAmelCase__	       =     BinarySearchTree()
							for i in testlist:
														t.insert(A	)

							# Prints all the elements of the list in order traversal
							print(A	)

							if t.search(6	) is not None:
														print('''The value 6 exists'''	)
							else:
														print('''The value 6 doesn\'t exist'''	)

							if t.search(-1	) is not None:
														print('''The value -1 exists'''	)
							else:
														print('''The value -1 doesn\'t exist'''	)

							if not t.empty():
														print('''Max Value: '''			,   t.get_max().value	)  # type: ignore
														print('''Min Value: '''			,   t.get_min().value	)  # type: ignore

							for i in testlist:
														t.remove(A	)
														print(A	)


if __name__ == "__main__":
		import doctest

		doctest.testmod(verbose=True)