



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_:  List[str]     						=					pytest.mark.integration



@require_faiss
class 						lowercase__      (__snake_case						):

     """simple docstring"""






     def 		lowercase   ( self :	List[Any] ):
      snake_case__				:							Dict      							= Dataset.from_dict({"""filename""": ["""my_name-train""" + """_""" + str(lowercase__ ) for x in np.arange(3_0 ).tolist()]} )
      return dset


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

      snake_case__				:							Dict      							= self._create_dummy_dataset()
      snake_case__				:							Dict      							= dset.map(
          lambda __a   ,			__a : {"vecs": i * np.ones(5   ,			dtype=np.floataa )}   ,			with_indices=lowercase__   ,			keep_in_memory=lowercase__ )
      snake_case__				:							Optional[int]      							= dset.add_faiss_index("""vecs"""   ,			batch_size=1_0_0   ,			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 		lowercase   ( self :	Optional[int] ):
      import faiss

      snake_case__				:							Dict      							= 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   ,			)
      snake_case__							,		snake_case__				:							Tuple      							= dset.get_nearest_examples("""vecs"""   ,			np.ones(5   ,			dtype=np.floataa ) )
      self.assertEqual(examples["""filename"""][0]   ,			"""my_name-train_29""" )


     def 		lowercase   ( self :	Tuple ):
      import faiss

      snake_case__				:							str      							= 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=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__				:							Optional[Any]      							= dset.get_nearest_examples("""vecs2"""   ,			np.ones(5   ,			dtype=np.floataa ) )
      self.assertEqual(examples["""filename"""][0]   ,			"""my_name-train_29""" )


     def 		lowercase   ( self :	str ):
      snake_case__				:							str      							= 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(lowercase__   ,			partial(dset.get_nearest_examples   ,			"""vecs2"""   ,			np.ones(5   ,			dtype=np.floataa ) ) )


     def 		lowercase   ( self :	List[Any] ):
      from elasticsearch import Elasticsearch

      snake_case__				:							Union[str, Any]      							= 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__				:							List[str]      							= {"""acknowledged""": True}
       mocked_bulk.return_value([(True, None)] * 3_0 )
       snake_case__				:							Tuple      							= {"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 2_9}]}}
       snake_case__				:							Dict      							= Elasticsearch()

       dset.add_elasticsearch_index("""filename"""   ,			es_client=lowercase__ )
       snake_case__							,		snake_case__				:							str      							= dset.get_nearest_examples("""filename"""   ,			"""my_name-train_29""" )
       self.assertEqual(examples["""filename"""][0]   ,			"""my_name-train_29""" )



@require_faiss
class 						lowercase__      (__snake_case						):

     """simple docstring"""






     def 		lowercase   ( self :	int ):
      import faiss

      snake_case__				:							Tuple      							= 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
      snake_case__				:							Union[str, Any]      							= np.zeros(5   ,			dtype=np.floataa )
      snake_case__				:							Optional[int]      							= 1
      snake_case__							,		snake_case__				:							List[str]      							= 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__				:							Any      							= np.eye(5   ,			dtype=np.floataa )[::-1]
      snake_case__							,		snake_case__				:							Any      							= index.search_batch(lowercase__ )
      self.assertRaises(lowercase__   ,			index.search_batch   ,			queries[0] )
      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([4, 3, 2, 1, 0]   ,			lowercase__ )


     def 		lowercase   ( self :	Dict ):
      import faiss

      snake_case__				:							str      							= FaissIndex(string_factory="""Flat""" )
      index.add_vectors(np.eye(5   ,			dtype=np.floataa ) )
      self.assertIsInstance(index.faiss_index   ,			faiss.IndexFlat )
      snake_case__				:							int      							= 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__				:							Optional[Any]      							= FaissIndex(string_factory="""Flat"""   ,			custom_index=faiss.IndexFlat(5 ) )


     def 		lowercase   ( self :	Any ):
      import faiss

      snake_case__				:							Any      							= faiss.IndexFlat(5 )
      snake_case__				:							Any      							= FaissIndex(custom_index=lowercase__ )
      index.add_vectors(np.eye(5   ,			dtype=np.floataa ) )
      self.assertIsInstance(index.faiss_index   ,			faiss.IndexFlat )


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

      snake_case__				:							Tuple      							= 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__				:							Union[str, Any]      							= FaissIndex.load(tmp_file.name )
      os.unlink(tmp_file.name )

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

@require_faiss
def 	_lowercase	(     UpperCAmelCase_):




 """simple docstring"""




 import faiss

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

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

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



@require_elasticsearch
class 						lowercase__      (__snake_case						):

     """simple docstring"""






     def 		lowercase   ( self :	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__				:							Tuple      							= Elasticsearch()
       snake_case__				:							List[str]      							= {"""acknowledged""": True}
       snake_case__				:							Optional[int]      							= ElasticSearchIndex(es_client=lowercase__ )
       mocked_bulk.return_value([(True, None)] * 3 )
       index.add_documents(["""foo""", """bar""", """foobar"""] )

       # single query
       snake_case__				:							List[str]      							= """foo"""
       snake_case__				:							List[str]      							= {"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 0}]}}
       snake_case__							,		snake_case__				:							List[Any]      							= index.search(lowercase__ )
       self.assertEqual(scores[0]   ,			1 )
       self.assertEqual(indices[0]   ,			0 )

       # single query with timeout
       snake_case__				:							Dict      							= """foo"""
       snake_case__				:							List[str]      							= {"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 0}]}}
       snake_case__							,		snake_case__				:							Optional[int]      							= index.search(lowercase__   ,			request_timeout=3_0 )
       self.assertEqual(scores[0]   ,			1 )
       self.assertEqual(indices[0]   ,			0 )

       # batched queries
       snake_case__				:							List[Any]      							= ["""foo""", """bar""", """foobar"""]
       snake_case__				:							int      							= {"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 1}]}}
       snake_case__							,		snake_case__				:							List[str]      							= index.search_batch(lowercase__ )
       snake_case__				:							Optional[Any]      							= [scores[0] for scores in total_scores]
       snake_case__				:							Optional[Any]      							= [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__				:							str      							= ["""foo""", """bar""", """foobar"""]
       snake_case__				:							str      							= {"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 1}]}}
       snake_case__							,		snake_case__				:							Union[str, Any]      							= index.search_batch(lowercase__   ,			request_timeout=3_0 )
       snake_case__				:							Tuple      							= [scores[0] for scores in total_scores]
       snake_case__				:							Union[str, Any]      							= [indices[0] for indices in total_indices]
       self.assertGreater(np.min(lowercase__ )   ,			0 )
       self.assertListEqual([1, 1, 1]   ,			lowercase__ )







def      A__					(			__A  :						str     ,				__A  :						str			)					->str:

      if not (isinstance(__A     ,				__A			) and isinstance(__A     ,				__A			)):
            raise ValueError('''longest_common_substring() takes two strings for inputs'''			)

      __A    =len(__A			)
      __A    =len(__A			)

      __A    =[[0] * (texta_length + 1) for _ in range(texta_length + 1			)]
      __A    =0
      __A    =0

      for i in range(1     ,				texta_length + 1			):
            for j in range(1     ,				texta_length + 1			):
                  if texta[i - 1] == texta[j - 1]:
                        __A    =1 + dp[i - 1][j - 1]
                        if dp[i][j] > ans_length:
                              __A    =i
                              __A    =dp[i][j]

      return texta[ans_index - ans_length : ans_index]


if __name__ == "__main__":
   import doctest

   doctest.testmod()


