
lowercase__		:Optional[Any]   =    {
    "Pillow": "Pillow",
    "accelerate": "accelerate>=0.11.0",
    "compel": "compel==0.1.8",
    "black": "black~=23.1",
    "datasets": "datasets",
    "filelock": "filelock",
    "flax": "flax>=0.4.1",
    "hf-doc-builder": "hf-doc-builder>=0.3.0",
    "huggingface-hub": "huggingface-hub>=0.13.2",
    "requests-mock": "requests-mock==1.10.0",
    "importlib_metadata": "importlib_metadata",
    "invisible-watermark": "invisible-watermark",
    "isort": "isort>=5.5.4",
    "jax": "jax>=0.2.8,!=0.3.2",
    "jaxlib": "jaxlib>=0.1.65",
    "Jinja2": "Jinja2",
    "k-diffusion": "k-diffusion>=0.0.12",
    "torchsde": "torchsde",
    "note_seq": "note_seq",
    "librosa": "librosa",
    "numpy": "numpy",
    "omegaconf": "omegaconf",
    "parameterized": "parameterized",
    "protobuf": "protobuf>=3.20.3,<4",
    "pytest": "pytest",
    "pytest-timeout": "pytest-timeout",
    "pytest-xdist": "pytest-xdist",
    "ruff": "ruff>=0.0.241",
    "safetensors": "safetensors",
    "sentencepiece": "sentencepiece>=0.1.91,!=0.1.92",
    "scipy": "scipy",
    "onnx": "onnx",
    "regex": "regex!=2019.12.17",
    "requests": "requests",
    "tensorboard": "tensorboard",
    "torch": "torch>=1.4",
    "torchvision": "torchvision",
    "transformers": "transformers>=4.25.1",
    "urllib3": "urllib3<=2.0.0",
}






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__		:Optional[int]   =    pytest.mark.integration







@require_faiss
class 				lowercase		(					SCREAMING_SNAKE_CASE__		):




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




							def  A__      (				self):
												import faiss

												lowercase							=						self._create_dummy_dataset()
												lowercase							=						dset.map(
												    lambda A__   ,A__: {"vecs": i * np.ones(5   ,dtype=np.floataa)}   ,with_indices=A__   ,keep_in_memory=A__)
												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):
												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):
												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=A__) 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):
												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(A__   ,partial(dset.get_nearest_examples   ,'''vecs2'''   ,np.ones(5   ,dtype=np.floataa)))





							def  A__      (				self):
												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=A__)
																	lowercase	,						lowercase							=						dset.get_nearest_examples('''filename'''   ,'''my_name-train_29''')
																	self.assertEqual(examples['''filename'''][0]   ,'''my_name-train_29''')







@require_faiss
class 				lowercase		(					SCREAMING_SNAKE_CASE__		):




							def  A__      (				self):
												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(A__)
												self.assertRaises(A__   ,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(A__)
												self.assertRaises(A__   ,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(A__)   ,0)
												self.assertListEqual([4, 3, 2, 1, 0]   ,A__)




							def  A__      (				self):
												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(A__):
																	lowercase							=						FaissIndex(string_factory='''Flat'''   ,custom_index=faiss.IndexFlat(5))




							def  A__      (				self):
												import faiss

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





							def  A__      (				self):
												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=A__) 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(A__)
												self.assertGreater(scores[0]   ,0)
												self.assertEqual(indices[0]   ,1)



@require_faiss
def        UpperCamelCase    (							lowerCAmelCase__		):
					'''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(lowerCAmelCase__ ,			storage_options=mockfs.storage_options		)
					lowercase							=						FaissIndex.load(lowerCAmelCase__ ,			storage_options=mockfs.storage_options		)

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







@require_elasticsearch
class 				lowercase		(					SCREAMING_SNAKE_CASE__		):




							def  A__      (				self):
												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=A__)
																	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(A__)
																	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(A__   ,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(A__)
																	lowercase							=						[scores[0] for scores in total_scores]
																	lowercase							=						[indices[0] for indices in total_indices]
																	self.assertGreater(np.min(A__)   ,0)
																	self.assertListEqual([1, 1, 1]   ,A__)

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




