
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__		:Dict			  =   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__)






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__		:Dict			  =   {
    "configuration_luke": ["LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP", "LukeConfig"],
    "tokenization_luke": ["LukeTokenizer"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase__		:List[str]			  =   [
							    "LUKE_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "LukeForEntityClassification",
							    "LukeForEntityPairClassification",
							    "LukeForEntitySpanClassification",
							    "LukeForMultipleChoice",
							    "LukeForQuestionAnswering",
							    "LukeForSequenceClassification",
							    "LukeForTokenClassification",
							    "LukeForMaskedLM",
							    "LukeModel",
							    "LukePreTrainedModel",
							]


if TYPE_CHECKING:
							from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
							from .tokenization_luke import LukeTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_luke import (
														    LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
														    LukeForEntityClassification,
														    LukeForEntityPairClassification,
														    LukeForEntitySpanClassification,
														    LukeForMaskedLM,
														    LukeForMultipleChoice,
														    LukeForQuestionAnswering,
														    LukeForSequenceClassification,
														    LukeForTokenClassification,
														    LukeModel,
														    LukePreTrainedModel,
														)

else:
							import sys

							lowercase__		:Tuple			  =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




