


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


snake_case							: Any      =   pytest.mark.integration







@require_faiss
class  snake_case_     (lowerCamelCase_   ):
					def 				lowerCamelCase__(   self     :Optional[Any]   )      ->					Tuple:
												a__    =  Dataset.from_dict({'filename': ['my_name-train' + '_' + str(__snake_case   ) for x in np.arange(30   ).tolist()]}   )
												return dset
					def 				lowerCamelCase__(   self     :Union[str, Any]   )      ->					Any:
												import faiss

												a__    =  self._create_dummy_dataset()
												a__    =  dset.map(
												    lambda __snake_case    ,__snake_case   : {"vecs": i * np.ones(5    ,dtype=np.floataa   )}    ,with_indices=__snake_case    ,keep_in_memory=__snake_case   )
												a__    =  dset.add_faiss_index('vecs'    ,batch_size=1_00    ,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     :Any   )      ->					str:
												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=1_00    ,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   )      ->					List[Any]:
												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=__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   )

												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     :Dict   )      ->					Optional[Any]:
												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(__snake_case    ,partial(dset.get_nearest_examples    ,'vecs2'    ,np.ones(5    ,dtype=np.floataa   )   )   )



					def 				lowerCamelCase__(   self     :Optional[int]   )      ->					Union[str, Any]:
												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=__snake_case   )
																			a__   ,      a__    =  dset.get_nearest_examples('filename'    ,'my_name-train_29'   )
																			self.assertEqual(examples['filename'][0]    ,'my_name-train_29'   )







@require_faiss
class  snake_case_     (lowerCamelCase_   ):
					def 				lowerCamelCase__(   self     :str   )      ->					Union[str, Any]:
												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(__snake_case   )
												self.assertRaises(__snake_case    ,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(__snake_case   )
												self.assertRaises(__snake_case    ,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(__snake_case   )    ,0   )
												self.assertListEqual([4, 3, 2, 1, 0]    ,__snake_case   )
					def 				lowerCamelCase__(   self     :Optional[int]   )      ->					Optional[Any]:
												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(__snake_case   ):
																			a__    =  FaissIndex(string_factory='Flat'    ,custom_index=faiss.IndexFlat(5   )   )
					def 				lowerCamelCase__(   self     :Any   )      ->					Union[str, Any]:
												import faiss

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



					def 				lowerCamelCase__(   self     :int   )      ->					Optional[Any]:
												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=__snake_case   ) 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(__snake_case   )
												self.assertGreater(scores[0]    ,0   )
												self.assertEqual(indices[0]    ,1   )






@require_faiss
def 							__lowercase     (				__lowerCAmelCase							:       Dict     ):
							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  snake_case_     (lowerCamelCase_   ):
					def 				lowerCamelCase__(   self     :Optional[Any]   )      ->					Optional[int]:
												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=__snake_case   )
																			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(__snake_case   )
																			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(__snake_case    ,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(__snake_case   )
																			a__    =  [scores[0] for scores in total_scores]
																			a__    =  [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
																			a__    =  ['foo', 'bar', 'foobar']
																			a__    =  {'hits': {'hits': [{'_score': 1, '_id': 1}]}}
																			a__   ,      a__    =  index.search_batch(__snake_case    ,request_timeout=30   )
																			a__    =  [scores[0] for scores in total_scores]
																			a__    =  [indices[0] for indices in total_indices]
																			self.assertGreater(np.min(__snake_case   )    ,0   )
																			self.assertListEqual([1, 1, 1]    ,__snake_case   )








from math import pi






def 							__lowercase     (				__lowerCAmelCase							:       int      ,					__lowerCAmelCase							:       int     ):
							return 2 * pi * radius * (angle / 3_6_0)


if __name__ == "__main__":
						print(arc_length(90, 10))




