




'''simple docstring'''

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  :				List[str]									=  pytest.mark.integration






@require_faiss
class 						a				(   _lowerCamelCase     ):


				def   A_ (		self    :					Union[str, Any]					):
									snake_case_									=				Dataset.from_dict({'''filename''': ['''my_name-train''' + '''_''' + str(lowercase_					) for x in np.arange(30					).tolist()]}					)
									return dset


				def   A_ (		self    :					int					):
									import faiss

									snake_case_									=				self._create_dummy_dataset()
									snake_case_									=				dset.map(
									    lambda lowercase_       ,				lowercase_					: {"vecs": i * np.ones(5       ,				dtype=np.floataa					)}       ,				with_indices=lowercase_       ,				keep_in_memory=lowercase_					)
									snake_case_									=				dset.add_faiss_index('''vecs'''       ,				batch_size=100       ,				metric_type=faiss.METRIC_INNER_PRODUCT					)
									snake_case_			,snake_case_									=				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    :					int					):
									import faiss

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


				def   A_ (		self    :					Optional[int]					):
									import faiss

									snake_case_									=				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=lowercase_					) as tmp_file:
														dset.save_faiss_index('''vecs'''       ,				tmp_file.name					)
														dset.load_faiss_index('''vecs2'''       ,				tmp_file.name					)
									os.unlink(tmp_file.name					)

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


				def   A_ (		self    :					Dict					):
									snake_case_									=				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(lowercase_       ,				partial(dset.get_nearest_examples       ,				'''vecs2'''       ,				np.ones(5       ,				dtype=np.floataa					)					)					)


				def   A_ (		self    :					Union[str, Any]					):
									from elasticsearch import Elasticsearch

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

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







@require_faiss
class 						a				(   _lowerCamelCase     ):


				def   A_ (		self    :					str					):
									import faiss

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

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


				def   A_ (		self    :					Optional[Any]					):
									import faiss

									snake_case_									=				FaissIndex(string_factory='''Flat'''					)
									index.add_vectors(np.eye(5       ,				dtype=np.floataa					)					)
									self.assertIsInstance(index.faiss_index       ,				faiss.IndexFlat					)
									snake_case_									=				FaissIndex(string_factory='''LSH'''					)
									index.add_vectors(np.eye(5       ,				dtype=np.floataa					)					)
									self.assertIsInstance(index.faiss_index       ,				faiss.IndexLSH					)
									with self.assertRaises(lowercase_					):
														snake_case_									=				FaissIndex(string_factory='''Flat'''       ,				custom_index=faiss.IndexFlat(5					)					)


				def   A_ (		self    :					Optional[Any]					):
									import faiss

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


				def   A_ (		self    :					Optional[Any]					):
									import faiss

									snake_case_									=				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=lowercase_					) as tmp_file:
														index.save(tmp_file.name					)
														snake_case_									=				FaissIndex.load(tmp_file.name					)
									os.unlink(tmp_file.name					)

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







@require_faiss
def 		__magic_name__    (	__UpperCAmelCase	)		->					Optional[int]:

					'''simple docstring'''

					import faiss

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

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

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






@require_elasticsearch
class 						a				(   _lowerCamelCase     ):


				def   A_ (		self    :					List[str]					):
									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:
														snake_case_									=				Elasticsearch()
														snake_case_									=				{'''acknowledged''': True}
														snake_case_									=				ElasticSearchIndex(es_client=lowercase_					)
														mocked_bulk.return_value([(True, None)] * 3					)
														index.add_documents(['''foo''', '''bar''', '''foobar''']					)

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

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

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

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




def 			UpperCAmelCase__				(			_A      : dict							):





  '''simple docstring'''







  a__  =set()
  # To detect a back edge, keep track of vertices currently in the recursion stack
  a__  =set()
  return any(
      node not in visited and depth_first_search(_A	,      _A	,      _A	,      _A							)
      for node in graph							)




def 			UpperCAmelCase__				(			_A      : dict	,      _A      : int	,      _A      : set	,      _A      : set							):





  '''simple docstring'''







  visited.add(_A							)
  rec_stk.add(_A							)

  for node in graph[vertex]:
    if node not in visited:
      if depth_first_search(_A	,      _A	,      _A	,      _A							):
        return True
    elif node in rec_stk:
      return True

    # The node needs to be removed from recursion stack before function ends
  rec_stk.remove(_A							)
  return False


if __name__ == "__main__":
       from doctest import testmod

       testmod()
