


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			:			Optional[Any]												=					pytest.mark.integration
@require_faiss
class 						lowerCamelCase_							(					lowerCAmelCase__					):



					'''simple docstring'''







					def A   (					self    ) ->      List[Any]:







								'''simple docstring'''

								__lowercase			       = Dataset.from_dict({'''filename''': ['''my_name-train''' + '''_''' + str(snake_case_    ) for x in np.arange(3_0    ).tolist()]}    )
								return dset






					def A   (					self    ) ->      int:







								'''simple docstring'''

								import faiss

								__lowercase			       = self._create_dummy_dataset()
								__lowercase			       = dset.map(
								    lambda snake_case_			,							snake_case_    : {"vecs": i * np.ones(5			,							dtype=np.floataa    )}			,							with_indices=snake_case_			,							keep_in_memory=snake_case_    )
								__lowercase			       = dset.add_faiss_index('''vecs'''			,							batch_size=1_0_0			,							metric_type=faiss.METRIC_INNER_PRODUCT    )
								__lowercase       ,			__lowercase			       = 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 A   (					self    ) ->      List[Any]:







								'''simple docstring'''

								import faiss

								__lowercase			       = self._create_dummy_dataset()
								dset.add_faiss_index_from_external_arrays(
								    external_arrays=np.ones((3_0, 5)    ) * np.arange(3_0    ).reshape(-1			,							1    )			,							index_name='''vecs'''			,							batch_size=1_0_0			,							metric_type=faiss.METRIC_INNER_PRODUCT			,							)
								__lowercase       ,			__lowercase			       = dset.get_nearest_examples('''vecs'''			,							np.ones(5			,							dtype=np.floataa    )    )
								self.assertEqual(examples['''filename'''][0]			,							'''my_name-train_29'''    )






					def A   (					self    ) ->      List[Any]:







								'''simple docstring'''

								import faiss

								__lowercase			       = self._create_dummy_dataset()
								dset.add_faiss_index_from_external_arrays(
								    external_arrays=np.ones((3_0, 5)    ) * np.arange(3_0    ).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=snake_case_    ) as tmp_file:
											dset.save_faiss_index('''vecs'''			,							tmp_file.name    )
											dset.load_faiss_index('''vecs2'''			,							tmp_file.name    )
								os.unlink(tmp_file.name    )

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






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







								'''simple docstring'''

								__lowercase			       = self._create_dummy_dataset()
								dset.add_faiss_index_from_external_arrays(
								    external_arrays=np.ones((3_0, 5)    ) * np.arange(3_0    ).reshape(-1			,							1    )			,							index_name='''vecs'''    )
								dset.drop_index('''vecs'''    )
								self.assertRaises(snake_case_			,							partial(dset.get_nearest_examples			,							'''vecs2'''			,							np.ones(5			,							dtype=np.floataa    )    )    )






					def A   (					self    ) ->      Optional[int]:







								'''simple docstring'''

								from elasticsearch import Elasticsearch

								__lowercase			       = 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:
											__lowercase			       = {'''acknowledged''': True}
											mocked_bulk.return_value([(True, None)] * 3_0    )
											__lowercase			       = {'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 2_9}]}}
											__lowercase			       = Elasticsearch()

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




@require_faiss
class 						lowerCamelCase_							(					lowerCAmelCase__					):



					'''simple docstring'''







					def A   (					self    ) ->      Tuple:







								'''simple docstring'''

								import faiss

								__lowercase			       = 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			,							1_0    )

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

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






					def A   (					self    ) ->      Dict:







								'''simple docstring'''

								import faiss

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






					def A   (					self    ) ->      Dict:







								'''simple docstring'''

								import faiss

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






					def A   (					self    ) ->      str:







								'''simple docstring'''

								import faiss

								__lowercase			       = 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=snake_case_    ) as tmp_file:
											index.save(tmp_file.name    )
											__lowercase			       = FaissIndex.load(tmp_file.name    )
								os.unlink(tmp_file.name    )

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




@require_faiss
def 		lowercase_	(  _UpperCamelCase	):


			'''simple docstring'''







			import faiss

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

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

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





@require_elasticsearch
class 						lowerCamelCase_							(					lowerCAmelCase__					):



					'''simple docstring'''







					def A   (					self    ) ->      Dict:







								'''simple docstring'''

								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:
											__lowercase			       = Elasticsearch()
											__lowercase			       = {'''acknowledged''': True}
											__lowercase			       = ElasticSearchIndex(es_client=snake_case_    )
											mocked_bulk.return_value([(True, None)] * 3    )
											index.add_documents(['''foo''', '''bar''', '''foobar''']    )

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

											# single query with timeout
											__lowercase			       = '''foo'''
											__lowercase			       = {'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 0}]}}
											__lowercase       ,			__lowercase			       = index.search(snake_case_			,							request_timeout=3_0    )
											self.assertEqual(scores[0]			,							1    )
											self.assertEqual(indices[0]			,							0    )

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

											# batched queries with timeout
											__lowercase			       = ['''foo''', '''bar''', '''foobar''']
											__lowercase			       = {'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 1}]}}
											__lowercase       ,			__lowercase			       = index.search_batch(snake_case_			,							request_timeout=3_0    )
											__lowercase			       = [scores[0] for scores in total_scores]
											__lowercase			       = [indices[0] for indices in total_indices]
											self.assertGreater(np.min(snake_case_    )			,							0    )
											self.assertListEqual([1, 1, 1]			,							snake_case_    )






import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union
@dataclass
class 						lowerCamelCase_							:



					'''simple docstring'''







					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					True
					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					1
					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					False
					__UpperCAmelCase							  =					None
					__UpperCAmelCase							  =					None






					def A   (					self    ) ->      "DownloadConfig":







								'''simple docstring'''

								return self.__class__(**{k: copy.deepcopy(snake_case_    ) for k, v in self.__dict__.items()}    )


