
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  : str						   =							pytest.mark.integration

@require_faiss
class __snake_case		(				lowerCAmelCase					):
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







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



           '''simple docstring'''







           import faiss

           lowercase							:					Dataset	     =				self._create_dummy_dataset()
           lowercase							:					Optional[int]	     =				dset.map(
               lambda snake_case		,snake_case				: {"vecs": i * np.ones(5		,dtype=np.floataa				)}		,with_indices=snake_case		,keep_in_memory=snake_case				)
           lowercase							:					Union[str, Any]	     =				dset.add_faiss_index("""vecs"""		,batch_size=100		,metric_type=faiss.METRIC_INNER_PRODUCT				)
           lowercase							:					str	     =				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 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           import faiss

           lowercase							:					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		,)
           lowercase							:					Union[str, Any]	     =				dset.get_nearest_examples("""vecs"""		,np.ones(5		,dtype=np.floataa				)				)
           self.assertEqual(examples["""filename"""][0]		,"""my_name-train_29"""				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           import faiss

           lowercase							:					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=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				)

           lowercase							:					Optional[int]	     =				dset.get_nearest_examples("""vecs2"""		,np.ones(5		,dtype=np.floataa				)				)
           self.assertEqual(examples["""filename"""][0]		,"""my_name-train_29"""				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					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(snake_case		,partial(dset.get_nearest_examples		,"""vecs2"""		,np.ones(5		,dtype=np.floataa				)				)				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           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							:					str	     =				{"""acknowledged""": True}
                  mocked_bulk.return_value([(True, None)] * 30				)
                  lowercase							:					Tuple	     =				{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 29}]}}
                  lowercase							:					Dict	     =				Elasticsearch()

                  dset.add_elasticsearch_index("""filename"""		,es_client=snake_case				)
                  lowercase							:					Dict	     =				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 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           import faiss

           lowercase							:					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		,10				)

           # single query
           lowercase							:					Optional[Any]	     =				np.zeros(5		,dtype=np.floataa				)
           lowercase							:					List[Any]	     =				1
           lowercase							:					Optional[int]	     =				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
           lowercase							:					int	     =				np.eye(5		,dtype=np.floataa				)[::-1]
           lowercase							:					int	     =				index.search_batch(snake_case				)
           self.assertRaises(snake_case		,index.search_batch		,queries[0]				)
           lowercase							:					List[str]	     =				[scores[0] for scores in total_scores]
           lowercase							:					Dict	     =				[indices[0] for indices in total_indices]
           self.assertGreater(np.min(snake_case				)		,0				)
           self.assertListEqual([4, 3, 2, 1, 0]		,snake_case				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           import faiss

           lowercase							:					Any	     =				FaissIndex(string_factory="""Flat"""				)
           index.add_vectors(np.eye(5		,dtype=np.floataa				)				)
           self.assertIsInstance(index.faiss_index		,faiss.IndexFlat				)
           lowercase							:					List[str]	     =				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				):
                  lowercase							:					str	     =				FaissIndex(string_factory="""Flat"""		,custom_index=faiss.IndexFlat(5				)				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           import faiss

           lowercase							:					Optional[Any]	     =				faiss.IndexFlat(5				)
           lowercase							:					Union[str, Any]	     =				FaissIndex(custom_index=snake_case				)
           index.add_vectors(np.eye(5		,dtype=np.floataa				)				)
           self.assertIsInstance(index.faiss_index		,faiss.IndexFlat				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           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=snake_case				) as tmp_file:
                  index.save(tmp_file.name				)
                  lowercase							:					Tuple	     =				FaissIndex.load(tmp_file.name				)
           os.unlink(tmp_file.name				)

           lowercase							:					Tuple	     =				np.zeros(5		,dtype=np.floataa				)
           lowercase							:					Tuple	     =				1
           lowercase							:					Tuple	     =				index.search(snake_case				)
           self.assertGreater(scores[0]		,0				)
           self.assertEqual(indices[0]		,1				)







@require_faiss
def 						_snake_case(  SCREAMING_SNAKE_CASE__    )			->   List[Any]:
       import faiss

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

       lowercase							:					Any	     =				"""index.faiss"""
       lowercase							:					int	     =				f"mock://{index_name}"
       index.save(SCREAMING_SNAKE_CASE__ ,     storage_options=mockfs.storage_options    )
       lowercase							:					Tuple	     =				FaissIndex.load(SCREAMING_SNAKE_CASE__ ,     storage_options=mockfs.storage_options    )

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




@require_elasticsearch
class __snake_case		(				lowerCAmelCase					):
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           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							:					Tuple	     =				Elasticsearch()
                  lowercase							:					str	     =				{"""acknowledged""": True}
                  lowercase							:					Tuple	     =				ElasticSearchIndex(es_client=snake_case				)
                  mocked_bulk.return_value([(True, None)] * 3				)
                  index.add_documents(["""foo""", """bar""", """foobar"""]				)

                  # single query
                  lowercase							:					Tuple	     =				"""foo"""
                  lowercase							:					int	     =				{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 0}]}}
                  lowercase							:					Dict	     =				index.search(snake_case				)
                  self.assertEqual(scores[0]		,1				)
                  self.assertEqual(indices[0]		,0				)

                  # single query with timeout
                  lowercase							:					Tuple	     =				"""foo"""
                  lowercase							:					str	     =				{"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 0}]}}
                  lowercase							:					List[str]	     =				index.search(snake_case		,request_timeout=30				)
                  self.assertEqual(scores[0]		,1				)
                  self.assertEqual(indices[0]		,0				)

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


from collections.abc import Callable

import numpy as np







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   np.array:
       lowercase							:					Optional[int]	     =				int(np.ceil((x_end - xa) / step_size    )    )
       lowercase							:					List[Any]	     =				np.zeros((n + 1,)    )
       lowercase							:					Optional[int]	     =				ya
       lowercase							:					Optional[int]	     =				xa

       for k in range(SCREAMING_SNAKE_CASE__    ):
              lowercase							:					str	     =				y[k] + step_size * ode_func(SCREAMING_SNAKE_CASE__ ,     y[k]    )
              lowercase							:					Union[str, Any]	     =				y[k] + (
                  (step_size / 2) * (ode_func(SCREAMING_SNAKE_CASE__ ,     y[k]    ) + ode_func(x + step_size ,     SCREAMING_SNAKE_CASE__    ))
              )
              x += step_size

       return y


if __name__ == "__main__":
  import doctest

  doctest.testmod()
