



"""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


lowercase__    :  Dict							    =	pytest.mark.integration




@require_faiss
class        _UpperCAmelCase       (			lowerCAmelCase__):

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

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

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

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

 def 						_snake_case					(     self		:       Any				):
     import faiss

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

 def 						_snake_case					(     self		:       Tuple				):
     snake_case_ :     Dataset				=	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 						_snake_case					(     self		:       List[Any]				):
     from elasticsearch import Elasticsearch

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

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





@require_faiss
class        _UpperCAmelCase       (			lowerCAmelCase__):

 def 						_snake_case					(     self		:       Dict				):
     import faiss

     snake_case_ :     Optional[Any]				=	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_ :     Any				=	np.zeros(5  ,     dtype=np.floataa				)
     snake_case_ :     Any				=	1
     snake_case_,	snake_case_ :     Union[str, Any]				=	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_ :     str				=	np.eye(5  ,     dtype=np.floataa				)[::-1]
     snake_case_,	snake_case_ :     Dict				=	index.search_batch(lowercase_				)
     self.assertRaises(lowercase_  ,     index.search_batch  ,     queries[0]				)
     snake_case_ :     Optional[Any]				=	[scores[0] for scores in total_scores]
     snake_case_ :     Tuple				=	[indices[0] for indices in total_indices]
     self.assertGreater(np.min(lowercase_				)  ,     0				)
     self.assertListEqual([4, 3, 2, 1, 0]  ,     lowercase_				)

 def 						_snake_case					(     self		:       Union[str, Any]				):
     import faiss

     snake_case_ :     Tuple				=	FaissIndex(string_factory='''Flat'''				)
     index.add_vectors(np.eye(5  ,     dtype=np.floataa				)				)
     self.assertIsInstance(index.faiss_index  ,     faiss.IndexFlat				)
     snake_case_ :     Dict				=	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_ :     Tuple				=	FaissIndex(string_factory='''Flat'''  ,     custom_index=faiss.IndexFlat(5				)				)

 def 						_snake_case					(     self		:       Dict				):
     import faiss

     snake_case_ :     Optional[int]				=	faiss.IndexFlat(5				)
     snake_case_ :     Tuple				=	FaissIndex(custom_index=lowercase_				)
     index.add_vectors(np.eye(5  ,     dtype=np.floataa				)				)
     self.assertIsInstance(index.faiss_index  ,     faiss.IndexFlat				)






 def 						_snake_case					(     self		:       Dict				):
     import faiss

     snake_case_ :     Union[str, Any]				=	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_ :     Optional[Any]				=	FaissIndex.load(tmp_file.name				)
     os.unlink(tmp_file.name				)

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





@require_faiss
def __lowercase			(							_a    ):
    import faiss

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

    snake_case_ :     List[Any]				=	'''index.faiss'''
    snake_case_ :     Optional[int]				=	f"mock://{index_name}"
    index.save(_a		,			storage_options=mockfs.storage_options    )
    snake_case_ :     Any				=	FaissIndex.load(_a		,			storage_options=mockfs.storage_options    )

    snake_case_ :     List[str]				=	np.zeros(5		,			dtype=np.floataa    )
    snake_case_ :     str				=	1
    snake_case_,	snake_case_ :     Optional[Any]				=	index.search(_a    )
    assert scores[0] > 0
    assert indices[0] == 1






@require_elasticsearch
class        _UpperCAmelCase       (			lowerCAmelCase__):

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

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

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

         # batched queries
         snake_case_ :     int				=	['''foo''', '''bar''', '''foobar''']
         snake_case_ :     List[str]				=	{'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 1}]}}
         snake_case_,	snake_case_ :     int				=	index.search_batch(lowercase_				)
         snake_case_ :     Dict				=	[scores[0] for scores in total_scores]
         snake_case_ :     Optional[int]				=	[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_ :     Tuple				=	['''foo''', '''bar''', '''foobar''']
         snake_case_ :     Union[str, Any]				=	{'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 1}]}}
         snake_case_,	snake_case_ :     int				=	index.search_batch(lowercase_  ,     request_timeout=30				)
         snake_case_ :     List[str]				=	[scores[0] for scores in total_scores]
         snake_case_ :     List[str]				=	[indices[0] for indices in total_indices]
         self.assertGreater(np.min(lowercase_				)  ,     0				)
         self.assertListEqual([1, 1, 1]  ,     lowercase_				)










"""simple docstring"""

def __lowercase			(							_a		,			_a		,			_a=False    ):

    if isinstance(_a		,			_a    ) and isinstance(_a		,			_a    ):
        snake_case_ :     Union[str, Any]				=	len(set_a.intersection(_a    )    )

        if alternative_union:
            snake_case_ :     Any				=	len(_a    ) + len(_a    )
        else:
            snake_case_ :     str				=	len(set_a.union(_a    )    )

        return intersection / union

    if isinstance(_a		,			(list, tuple)    ) and isinstance(_a		,			(list, tuple)    ):
        snake_case_ :     str				=	[element for element in set_a if element in set_b]

        if alternative_union:
            snake_case_ :     Tuple				=	len(_a    ) + len(_a    )
            return len(_a    ) / union
        else:
            snake_case_ :     List[Any]				=	set_a + [element for element in set_b if element not in set_a]
            return len(_a    ) / len(_a    )

        return len(_a    ) / len(_a    )
    return None


if __name__ == "__main__":
     lowercase__    :  Any							    =	{'''a''', '''b''', '''c''', '''d''', '''e'''}
     lowercase__    :  Optional[Any]							    =	{'''c''', '''d''', '''e''', '''f''', '''h''', '''i'''}
     print(jaccard_similarity(set_a, set_b))





