




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


__UpperCamelCase					:       Optional[Any]    					=      pytest.mark.integration

@require_faiss
class 		__lowerCAmelCase	(	__magic_name__ ):
							def       lowerCamelCase__							(						self						:Optional[int]				):







								'''simple docstring'''







								a										=							Dataset.from_dict({"""filename""": ["""my_name-train""" + """_""" + str(__magic_name__				) for x in np.arange(30				).tolist()]}				)
								return dset
							def       lowerCamelCase__							(						self						:List[str]				):







								'''simple docstring'''







								import faiss

								a										=							self._create_dummy_dataset()
								a										=							dset.map(
								    lambda __magic_name__		,      __magic_name__				: {"vecs": i * np.ones(5		,      dtype=np.floataa				)}		,      with_indices=__magic_name__		,      keep_in_memory=__magic_name__				)
								a										=							dset.add_faiss_index("""vecs"""		,      batch_size=100		,      metric_type=faiss.METRIC_INNER_PRODUCT				)
								a				, a										=							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						:List[str]				):







								'''simple docstring'''







								import faiss

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







								'''simple docstring'''







								import faiss

								a										=							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=__magic_name__				) as tmp_file:
									dset.save_faiss_index("""vecs"""		,      tmp_file.name				)
									dset.load_faiss_index("""vecs2"""		,      tmp_file.name				)
								os.unlink(tmp_file.name				)

								a				, a										=							dset.get_nearest_examples("""vecs2"""		,      np.ones(5		,      dtype=np.floataa				)				)
								self.assertEqual(examples["""filename"""][0]		,      """my_name-train_29"""				)
							def       lowerCamelCase__							(						self						:Union[str, Any]				):







								'''simple docstring'''







								a										=							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(__magic_name__		,      partial(dset.get_nearest_examples		,      """vecs2"""		,      np.ones(5		,      dtype=np.floataa				)				)				)





							def       lowerCamelCase__							(						self						:Union[str, Any]				):







								'''simple docstring'''







								from elasticsearch import Elasticsearch

								a										=							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:
									a										=							{"""acknowledged""": True}
									mocked_bulk.return_value([(True, None)] * 30				)
									a										=							{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 29}]}}
									a										=							Elasticsearch()

									dset.add_elasticsearch_index("""filename"""		,      es_client=__magic_name__				)
									a				, a										=							dset.get_nearest_examples("""filename"""		,      """my_name-train_29"""				)
									self.assertEqual(examples["""filename"""][0]		,      """my_name-train_29"""				)







@require_faiss
class 		__lowerCAmelCase	(	__magic_name__ ):
							def       lowerCamelCase__							(						self						:Any				):







								'''simple docstring'''







								import faiss

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

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







								'''simple docstring'''







								import faiss

								a										=							FaissIndex(string_factory="""Flat"""				)
								index.add_vectors(np.eye(5		,      dtype=np.floataa				)				)
								self.assertIsInstance(index.faiss_index		,      faiss.IndexFlat				)
								a										=							FaissIndex(string_factory="""LSH"""				)
								index.add_vectors(np.eye(5		,      dtype=np.floataa				)				)
								self.assertIsInstance(index.faiss_index		,      faiss.IndexLSH				)
								with self.assertRaises(__magic_name__				):
									a										=							FaissIndex(string_factory="""Flat"""		,      custom_index=faiss.IndexFlat(5				)				)
							def       lowerCamelCase__							(						self						:int				):







								'''simple docstring'''







								import faiss

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





							def       lowerCamelCase__							(						self						:Dict				):







								'''simple docstring'''







								import faiss

								a										=							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=__magic_name__				) as tmp_file:
									index.save(tmp_file.name				)
									a										=							FaissIndex.load(tmp_file.name				)
								os.unlink(tmp_file.name				)

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







@require_faiss
def 		__A		(	__lowerCamelCase    )      ->       List[str]:
	import faiss

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

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

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



@require_elasticsearch
class 		__lowerCAmelCase	(	__magic_name__ ):
							def       lowerCamelCase__							(						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:
									a										=							Elasticsearch()
									a										=							{"""acknowledged""": True}
									a										=							ElasticSearchIndex(es_client=__magic_name__				)
									mocked_bulk.return_value([(True, None)] * 3				)
									index.add_documents(["""foo""", """bar""", """foobar"""]				)

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

									# single query with timeout
									a										=							"""foo"""
									a										=							{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 0}]}}
									a				, a										=							index.search(__magic_name__		,      request_timeout=30				)
									self.assertEqual(scores[0]		,      1				)
									self.assertEqual(indices[0]		,      0				)

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

									# batched queries with timeout
									a										=							["""foo""", """bar""", """foobar"""]
									a										=							{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 1}]}}
									a				, a										=							index.search_batch(__magic_name__		,      request_timeout=30				)
									a										=							[scores[0] for scores in total_scores]
									a										=							[indices[0] for indices in total_indices]
									self.assertGreater(np.min(__magic_name__				)		,      0				)
									self.assertListEqual([1, 1, 1]		,      __magic_name__				)







__UpperCamelCase					:       Optional[int]    					=      {
    "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",
}

