






"""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


A__	:    List[str]			 = pytest.mark.integration







@require_faiss
class        lowercase__      (							lowerCamelCase__       ):


			def      UpperCAmelCase__						(				self					:  Union[str, Any] ):
										lowerCamelCase_	:							Tuple									=Dataset.from_dict({"filename": ["my_name-train" + "_" + str(__lowerCamelCase ) for x in np.arange(30 ).tolist()]} )
										return dset


			def      UpperCAmelCase__						(				self					:  Tuple ):
										import faiss

										lowerCamelCase_	:							Dataset									=self._create_dummy_dataset()
										lowerCamelCase_	:							Dict									=dset.map(
										    lambda snake_case__       ,	snake_case__ : {"vecs": i * np.ones(5       ,	dtype=np.floataa )}       ,	with_indices=__lowerCamelCase       ,	keep_in_memory=__lowerCamelCase )
										lowerCamelCase_	:							str									=dset.add_faiss_index("vecs"       ,	batch_size=100       ,	metric_type=faiss.METRIC_INNER_PRODUCT )
										lowerCamelCase_	:							str									=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      UpperCAmelCase__						(				self					:  List[Any] ):
										import faiss

										lowerCamelCase_	:							Dataset									=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       ,	)
										lowerCamelCase_	:							Union[str, Any]									=dset.get_nearest_examples("vecs"       ,	np.ones(5       ,	dtype=np.floataa ) )
										self.assertEqual(examples["filename"][0]       ,	"my_name-train_29" )


			def      UpperCAmelCase__						(				self					:  str ):
										import faiss

										lowerCamelCase_	:							Dataset									=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_	:							List[Any]									=dset.get_nearest_examples("vecs2"       ,	np.ones(5       ,	dtype=np.floataa ) )
										self.assertEqual(examples["filename"][0]       ,	"my_name-train_29" )


			def      UpperCAmelCase__						(				self					:  int ):
										lowerCamelCase_	:							Dataset									=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      UpperCAmelCase__						(				self					:  Union[str, Any] ):
										from elasticsearch import Elasticsearch

										lowerCamelCase_	:							Dataset									=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_	:							Optional[Any]									={'''acknowledged''': True}
																	mocked_bulk.return_value([(True, None)] * 30 )
																	lowerCamelCase_	:							List[str]									={'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 29}]}}
																	lowerCamelCase_	:							Optional[int]									=Elasticsearch()

																	dset.add_elasticsearch_index("filename"       ,	es_client=__lowerCamelCase )
																	lowerCamelCase_	:							Tuple									=dset.get_nearest_examples("filename"       ,	"my_name-train_29" )
																	self.assertEqual(examples["filename"][0]       ,	"my_name-train_29" )







@require_faiss
class        lowercase__      (							lowerCamelCase__       ):


			def      UpperCAmelCase__						(				self					:  str ):
										import faiss

										lowerCamelCase_	:							Optional[Any]									=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_	:							Union[str, Any]									=np.zeros(5       ,	dtype=np.floataa )
										lowerCamelCase_	:							str									=1
										lowerCamelCase_	:							Any									=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_	:							Optional[Any]									=np.eye(5       ,	dtype=np.floataa )[::-1]
										lowerCamelCase_	:							List[Any]									=index.search_batch(__lowerCamelCase )
										self.assertRaises(__lowerCamelCase       ,	index.search_batch       ,	queries[0] )
										lowerCamelCase_	:							Union[str, Any]									=[scores[0] for scores in total_scores]
										lowerCamelCase_	:							Any									=[indices[0] for indices in total_indices]
										self.assertGreater(np.min(__lowerCamelCase )       ,	0 )
										self.assertListEqual([4, 3, 2, 1, 0]       ,	__lowerCamelCase )


			def      UpperCAmelCase__						(				self					:  Dict ):
										import faiss

										lowerCamelCase_	:							List[str]									=FaissIndex(string_factory="Flat" )
										index.add_vectors(np.eye(5       ,	dtype=np.floataa ) )
										self.assertIsInstance(index.faiss_index       ,	faiss.IndexFlat )
										lowerCamelCase_	:							Union[str, Any]									=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_	:							int									=FaissIndex(string_factory="Flat"       ,	custom_index=faiss.IndexFlat(5 ) )


			def      UpperCAmelCase__						(				self					:  Tuple ):
										import faiss

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


			def      UpperCAmelCase__						(				self					:  List[Any] ):
										import faiss

										lowerCamelCase_	:							Dict									=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_	:							Any									=FaissIndex.load(tmp_file.name )
										os.unlink(tmp_file.name )

										lowerCamelCase_	:							List[Any]									=np.zeros(5       ,	dtype=np.floataa )
										lowerCamelCase_	:							Any									=1
										lowerCamelCase_	:							List[str]									=index.search(__lowerCamelCase )
										self.assertGreater(scores[0]       ,	0 )
										self.assertEqual(indices[0]       ,	1 )


@require_faiss
def 			_snake_case    (					lowerCamelCase__     :   str  )    ->     Optional[Any]:
							import faiss

							lowerCamelCase_	:							List[Any]									=FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT  )
							index.add_vectors(np.eye(5    ,						dtype=np.floataa  )  )

							lowerCamelCase_	:							Union[str, Any]									='''index.faiss'''
							lowerCamelCase_	:							List[Any]									=F"""mock://{index_name}"""
							index.save(lowerCamelCase_    ,						storage_options=mockfs.storage_options  )
							lowerCamelCase_	:							Optional[Any]									=FaissIndex.load(lowerCamelCase_    ,						storage_options=mockfs.storage_options  )

							lowerCamelCase_	:							Any									=np.zeros(5    ,						dtype=np.floataa  )
							lowerCamelCase_	:							Optional[Any]									=1
							lowerCamelCase_	:							Tuple									=index.search(lowerCamelCase_  )
							assert scores[0] > 0
							assert indices[0] == 1







@require_elasticsearch
class        lowercase__      (							lowerCamelCase__       ):


			def      UpperCAmelCase__						(				self					:  str ):
										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_	:							Any									=Elasticsearch()
																	lowerCamelCase_	:							Tuple									={'''acknowledged''': True}
																	lowerCamelCase_	:							Union[str, Any]									=ElasticSearchIndex(es_client=__lowerCamelCase )
																	mocked_bulk.return_value([(True, None)] * 3 )
																	index.add_documents(["foo", "bar", "foobar"] )

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

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

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

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











"""simple docstring"""



def 			_snake_case    (					lowerCamelCase__     :   int  )    ->     int:

							if not isinstance(lowerCamelCase__    ,						lowerCamelCase__  ):
														raise TypeError("only integers accepted as input"  )
							else:
														lowerCamelCase_	:							str									=str(abs(lowerCamelCase__  )  )
														lowerCamelCase_	:							Tuple									=[list(lowerCamelCase__  ) for char in range(len(lowerCamelCase__  )  )]
														for index in range(len(lowerCamelCase__  )  ):
																					num_transpositions[index].pop(lowerCamelCase__  )
														return max(
														    int("".join(list(lowerCamelCase__  )  )  ) for transposition in num_transpositions  )


if __name__ == "__main__":
						__import__('doctest').testmod()



