






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								=		pytest.mark.integration

@require_faiss
class 				lowerCAmelCase_	(		SCREAMING_SNAKE_CASE_			):


				def 						__a					(					self      ):
											_lowercase							:   Optional[Any] 							=   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							:   Dataset 							=   self._create_dummy_dataset()
											_lowercase							:   str 							=   dset.map(
											    lambda _lowerCAmelCase ,						_lowerCAmelCase      : {"vecs": i * np.ones(5 ,						dtype=np.floataa      )} ,						with_indices=_a ,						keep_in_memory=_a      )
											_lowercase							:   Tuple 							=   dset.add_faiss_index('vecs' ,						batch_size=1_0_0 ,						metric_type=faiss.METRIC_INNER_PRODUCT      )
											_lowercase							:   Dict 							=   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							:   Dataset 							=   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							:   Dict 							=   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							:   Dataset 							=   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							:   Dict 							=   dset.get_nearest_examples('vecs2' ,						np.ones(5 ,						dtype=np.floataa      )      )
											self.assertEqual(examples['filename'][0] ,						'my_name-train_29'      )


				def 						__a					(					self      ):
											_lowercase							:   Dataset 							=   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							:   Dataset 							=   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							:   List[Any] 							=   {'acknowledged': True}
																		mocked_bulk.return_value([(True, None)] * 3_0      )
																		_lowercase							:   Optional[int] 							=   {'hits': {'hits': [{'_score': 1, '_id': 2_9}]}}
																		_lowercase							:   Dict 							=   Elasticsearch()

																		dset.add_elasticsearch_index('filename' ,						es_client=_a      )
																		_lowercase							:   Union[str, Any] 							=   dset.get_nearest_examples('filename' ,						'my_name-train_29'      )
																		self.assertEqual(examples['filename'][0] ,						'my_name-train_29'      )




@require_faiss
class 				lowerCAmelCase_	(		SCREAMING_SNAKE_CASE_			):


				def 						__a					(					self      ):
											import faiss

											_lowercase							:   Optional[int] 							=   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							:   Dict 							=   np.zeros(5 ,						dtype=np.floataa      )
											_lowercase							:   List[str] 							=   1
											_lowercase							:   Union[str, Any] 							=   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							:   str 							=   np.eye(5 ,						dtype=np.floataa      )[::-1]
											_lowercase							:   str 							=   index.search_batch(_a      )
											self.assertRaises(_a ,						index.search_batch ,						queries[0]      )
											_lowercase							:   Any 							=   [scores[0] for scores in total_scores]
											_lowercase							:   List[str] 							=   [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							:   str 							=   FaissIndex(string_factory='Flat'      )
											index.add_vectors(np.eye(5 ,						dtype=np.floataa      )      )
											self.assertIsInstance(index.faiss_index ,						faiss.IndexFlat      )
											_lowercase							:   Dict 							=   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							:   Any 							=   FaissIndex(string_factory='Flat' ,						custom_index=faiss.IndexFlat(5      )      )


				def 						__a					(					self      ):
											import faiss

											_lowercase							:   str 							=   faiss.IndexFlat(5      )
											_lowercase							:   Optional[int] 							=   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							:   int 							=   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							:   List[str] 							=   FaissIndex.load(tmp_file.name      )
											os.unlink(tmp_file.name      )

											_lowercase							:   Optional[Any] 							=   np.zeros(5 ,						dtype=np.floataa      )
											_lowercase							:   Dict 							=   1
											_lowercase							:   List[str] 							=   index.search(_a      )
											self.assertGreater(scores[0] ,						0      )
											self.assertEqual(indices[0] ,						1      )






@require_faiss
def    __magic_name__    (	SCREAMING_SNAKE_CASE				)     ->    Union[str, Any]:
							import faiss

							_lowercase							:   List[str] 							=   FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT				)
							index.add_vectors(np.eye(5     ,     dtype=np.floataa				)				)

							_lowercase							:   str 							=   'index.faiss'
							_lowercase							:   Union[str, Any] 							=   F"""mock://{index_name}"""
							index.save(_lowerCAmelCase     ,     storage_options=mockfs.storage_options				)
							_lowercase							:   str 							=   FaissIndex.load(_lowerCAmelCase     ,     storage_options=mockfs.storage_options				)

							_lowercase							:   Optional[Any] 							=   np.zeros(5     ,     dtype=np.floataa				)
							_lowercase							:   Optional[int] 							=   1
							_lowercase							:   Optional[int] 							=   index.search(_lowerCAmelCase				)
							assert scores[0] > 0
							assert indices[0] == 1






@require_elasticsearch
class 				lowerCAmelCase_	(		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							:   Optional[Any] 							=   Elasticsearch()
																		_lowercase							:   Optional[Any] 							=   {'acknowledged': True}
																		_lowercase							:   List[str] 							=   ElasticSearchIndex(es_client=_a      )
																		mocked_bulk.return_value([(True, None)] * 3      )
																		index.add_documents(['foo', 'bar', 'foobar']      )

																		# single query
																		_lowercase							:   Optional[Any] 							=   'foo'
																		_lowercase							:   Optional[int] 							=   {'hits': {'hits': [{'_score': 1, '_id': 0}]}}
																		_lowercase							:   Dict 							=   index.search(_a      )
																		self.assertEqual(scores[0] ,						1      )
																		self.assertEqual(indices[0] ,						0      )

																		# single query with timeout
																		_lowercase							:   Any 							=   'foo'
																		_lowercase							:   Any 							=   {'hits': {'hits': [{'_score': 1, '_id': 0}]}}
																		_lowercase							:   Union[str, Any] 							=   index.search(_a ,						request_timeout=3_0      )
																		self.assertEqual(scores[0] ,						1      )
																		self.assertEqual(indices[0] ,						0      )

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

																		# batched queries with timeout
																		_lowercase							:   Optional[int] 							=   ['foo', 'bar', 'foobar']
																		_lowercase							:   List[str] 							=   {'hits': {'hits': [{'_score': 1, '_id': 1}]}}
																		_lowercase							:   str 							=   index.search_batch(_a ,						request_timeout=3_0      )
																		_lowercase							:   Any 							=   [scores[0] for scores in total_scores]
																		_lowercase							:   List[Any] 							=   [indices[0] for indices in total_indices]
																		self.assertGreater(np.min(_a      ) ,						0      )
																		self.assertListEqual([1, 1, 1] ,						_a      )









'''simple docstring'''





def 			a_	(				_lowerCAmelCase			) -> int:

  if not isinstance(_lowerCAmelCase			,_lowerCAmelCase			):
    raise TypeError('only integers accepted as input'			)
  else:
    __lowerCamelCase			:			Any       			=					str(abs(_lowerCAmelCase			)			)
    __lowerCamelCase			:			Tuple       			=					[list(_lowerCAmelCase			) for char in range(len(_lowerCAmelCase			)			)]
    for index in range(len(_lowerCAmelCase			)			):
      num_transpositions[index].pop(_lowerCAmelCase			)
    return max(
        int(''.join(list(_lowerCAmelCase			)			)			) for transposition in num_transpositions			)


if __name__ == "__main__":
   __import__('doctest').testmod()






