





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						=   pytest.mark.integration






@require_faiss
class       __A					(					lowerCAmelCase				):

			'''simple docstring'''







			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







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





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				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_0_0 ,						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 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				import faiss

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





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				import faiss

				lowerCamelCase__              =	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							)

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





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	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 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				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)] * 3_0							)
					lowerCamelCase__              =	{'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 2_9}]}}
					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					(					lowerCAmelCase				):

			'''simple docstring'''







			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				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 ,						1_0							)

				# 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 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				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 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				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 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				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 lowerCAmelCase__(__snake_case							)       ->   Dict:







	'''simple docstring'''







	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(__snake_case ,storage_options=mockfs.storage_options							)
	lowerCamelCase__              =	FaissIndex.load(__snake_case ,storage_options=mockfs.storage_options							)

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






@require_elasticsearch
class       __A					(					lowerCAmelCase				):

			'''simple docstring'''







			def 	__lowerCamelCase       (					self							):



				'''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:
					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=3_0							)
					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=3_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([1, 1, 1] ,						__lowerCAmelCase							)










import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


_a						=   logging.get_logger(__name__)






class       __A					(					lowerCAmelCase				):

			'''simple docstring'''







			def __init__(					self ,						*__lowerCAmelCase ,						**__lowerCAmelCase							):



				'''simple docstring'''







				warnings.warn(
				    '''The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
				    ''' use OwlViTImageProcessor instead.''' ,						__lowerCAmelCase ,						)
				super().__init__(*__lowerCAmelCase ,						**__lowerCAmelCase							)



