

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


__lowerCAmelCase			     =       pytest.mark.integration


@require_faiss
class 			lowerCamelCase_    (  lowerCAmelCase__		):


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



								"""simple docstring"""

								_UpperCamelCase			=   Dataset.from_dict({"filename": ["my_name-train" + "_" + str(snake_case_						) for x in np.arange(30						).tolist()]}						)
								return dset


							def  lowercase   ( self						)							->   int:



								"""simple docstring"""

								import faiss

								_UpperCamelCase			=   self._create_dummy_dataset()
								_UpperCamelCase			=   dset.map(
								    lambda lowerCamelCase_      ,				lowerCamelCase_						: {"vecs": i * np.ones(5      ,				dtype=np.floataa						)}      ,				with_indices=snake_case_      ,				keep_in_memory=snake_case_						)
								_UpperCamelCase			=   dset.add_faiss_index("vecs"      ,				batch_size=1_00      ,				metric_type=faiss.METRIC_INNER_PRODUCT						)
								_UpperCamelCase	,				_UpperCamelCase			=   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						)							->   List[Any]:



								"""simple docstring"""

								import faiss

								_UpperCamelCase			=   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=1_00      ,				metric_type=faiss.METRIC_INNER_PRODUCT      ,				)
								_UpperCamelCase	,				_UpperCamelCase			=   dset.get_nearest_examples("vecs"      ,				np.ones(5      ,				dtype=np.floataa						)						)
								self.assertEqual(examples["filename"][0]      ,				"my_name-train_29"						)


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



								"""simple docstring"""

								import faiss

								_UpperCamelCase			=   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=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						)

								_UpperCamelCase	,				_UpperCamelCase			=   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]:



								"""simple docstring"""

								_UpperCamelCase			=   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(snake_case_      ,				partial(dset.get_nearest_examples      ,				"vecs2"      ,				np.ones(5      ,				dtype=np.floataa						)						)						)







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



								"""simple docstring"""

								from elasticsearch import Elasticsearch

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

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






@require_faiss
class 			lowerCamelCase_    (  lowerCAmelCase__		):


							def  lowercase   ( self						)							->   Tuple:



								"""simple docstring"""

								import faiss

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


							def  lowercase   ( self						)							->   Dict:



								"""simple docstring"""

								import faiss

								_UpperCamelCase			=   FaissIndex(string_factory="Flat"						)
								index.add_vectors(np.eye(5      ,				dtype=np.floataa						)						)
								self.assertIsInstance(index.faiss_index      ,				faiss.IndexFlat						)
								_UpperCamelCase			=   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_						):
									_UpperCamelCase			=   FaissIndex(string_factory="Flat"      ,				custom_index=faiss.IndexFlat(5						)						)


							def  lowercase   ( self						)							->   Dict:



								"""simple docstring"""

								import faiss

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







							def  lowercase   ( self						)							->   str:



								"""simple docstring"""

								import faiss

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

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






@require_faiss
def    _lowercase			(	a__						:			List[Any]					)							->					str:





	"""simple docstring"""


	import faiss

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

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

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




@require_elasticsearch
class 			lowerCamelCase_    (  lowerCAmelCase__		):


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

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

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

									# batched queries
									_UpperCamelCase			=   ["foo", "bar", "foobar"]
									_UpperCamelCase			=   {"hits": {"hits": [{"_score": 1, "_id": 1}]}}
									_UpperCamelCase	,				_UpperCamelCase			=   index.search_batch(snake_case_						)
									_UpperCamelCase			=   [scores[0] for scores in total_scores]
									_UpperCamelCase			=   [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
									_UpperCamelCase			=   ["foo", "bar", "foobar"]
									_UpperCamelCase			=   {"hits": {"hits": [{"_score": 1, "_id": 1}]}}
									_UpperCamelCase	,				_UpperCamelCase			=   index.search_batch(snake_case_      ,				request_timeout=30						)
									_UpperCamelCase			=   [scores[0] for scores in total_scores]
									_UpperCamelCase			=   [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()}    )


