

'''simple docstring'''

from typing import Optional
from urllib.parse import quote

import huggingface_hub as hfh
from packaging import version





def  A_	(			snake_case   ,							snake_case   ,							snake_case = None			):
  if version.parse(hfh.__version__			).release < version.parse("0.11.0"			).release:
    # old versions of hfh don't url-encode the file path
    SCREAMING_SNAKE_CASE:Dict       =       quote(snake_case			)
  return hfh.hf_hub_url(snake_case   ,							snake_case   ,							repo_type="dataset"   ,							revision=snake_case			)












'''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


_lowercase  =			pytest.mark.integration
@require_faiss
class 						a_				(			UpperCAmelCase__						):




	def   lowercase__   (       self     :  List[Any]      ):
							__snake_case						 =   Dataset.from_dict({'filename': ['my_name-train' + '_' + str(__lowerCAmelCase      ) for x in np.arange(3_0      ).tolist()]}      )
							return dset




	def   lowercase__   (       self     :  List[str]      ):
							import faiss

							__snake_case						 =   self._create_dummy_dataset()
							__snake_case						 =   dset.map(
							    lambda __lowerCAmelCase       ,		__lowerCAmelCase      : {"vecs": i * np.ones(5       ,		dtype=np.floataa      )}       ,		with_indices=__lowerCAmelCase       ,		keep_in_memory=__lowerCAmelCase      )
							__snake_case						 =   dset.add_faiss_index('vecs'       ,		batch_size=1_0_0       ,		metric_type=faiss.METRIC_INNER_PRODUCT      )
							__snake_case ,       __snake_case						 =   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   lowercase__   (       self     :  Optional[int]      ):
							import faiss

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




	def   lowercase__   (       self     :  Dict      ):
							import faiss

							__snake_case						 =   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=__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      )

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




	def   lowercase__   (       self     :  Union[str, Any]      ):
							__snake_case						 =   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(__lowerCAmelCase       ,		partial(dset.get_nearest_examples       ,		'vecs2'       ,		np.ones(5       ,		dtype=np.floataa      )      )      )




	def   lowercase__   (       self     :  List[str]      ):
							from elasticsearch import Elasticsearch

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

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





@require_faiss
class 						a_				(			UpperCAmelCase__						):




	def   lowercase__   (       self     :  Dict      ):
							import faiss

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

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




	def   lowercase__   (       self     :  Optional[int]      ):
							import faiss

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




	def   lowercase__   (       self     :  int      ):
							import faiss

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




	def   lowercase__   (       self     :  Tuple      ):
							import faiss

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

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





@require_faiss
def 						lowerCamelCase__   (				a							):
						import faiss

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

						__snake_case						 =   'index.faiss'
						__snake_case						 =   f'mock://{index_name}'
						index.save(a    ,	storage_options=mockfs.storage_options							)
						__snake_case						 =   FaissIndex.load(a    ,	storage_options=mockfs.storage_options							)

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






@require_elasticsearch
class 						a_				(			UpperCAmelCase__						):




	def   lowercase__   (       self     :  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:
													__snake_case						 =   Elasticsearch()
													__snake_case						 =   {'acknowledged': True}
													__snake_case						 =   ElasticSearchIndex(es_client=__lowerCAmelCase      )
													mocked_bulk.return_value([(True, None)] * 3      )
													index.add_documents(['foo', 'bar', 'foobar']      )

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

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

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

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

