






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


A__			:    Union[str, Any]         =				pytest.mark.integration
@require_faiss
class    _UpperCAmelCase      ( A__			):

				"""simple docstring"""




				def        lowercase__     (  self		:					List[Any]						):

								'''simple docstring'''
								lowercase__     				=    Dataset.from_dict({'''filename''': ['''my_name-train''' + '''_''' + str(lowerCamelCase						) for x in np.arange(30						).tolist()]}						)
								return dset




				def        lowercase__     (  self		:					str						):

								'''simple docstring'''
								import faiss

								lowercase__     				=    self._create_dummy_dataset()
								lowercase__     				=    dset.map(
								    lambda lowerCamelCase,						lowerCamelCase						: {"vecs": i * np.ones(5,						dtype=np.floataa						)},						with_indices=lowerCamelCase,						keep_in_memory=lowerCamelCase						)
								lowercase__     				=    dset.add_faiss_index('''vecs''',						batch_size=100,						metric_type=faiss.METRIC_INNER_PRODUCT						)
								lowercase__				,		lowercase__     				=    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		:					str						):

								'''simple docstring'''
								import faiss

								lowercase__     				=    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__				,		lowercase__     				=    dset.get_nearest_examples('''vecs''',						np.ones(5,						dtype=np.floataa						)						)
								self.assertEqual(examples['''filename'''][0],						'''my_name-train_29'''						)




				def        lowercase__     (  self		:					List[str]						):

								'''simple docstring'''
								import faiss

								lowercase__     				=    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=lowerCamelCase						) 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__				,		lowercase__     				=    dset.get_nearest_examples('''vecs2''',						np.ones(5,						dtype=np.floataa						)						)
								self.assertEqual(examples['''filename'''][0],						'''my_name-train_29'''						)




				def        lowercase__     (  self		:					List[Any]						):

								'''simple docstring'''
								lowercase__     				=    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(lowerCamelCase,						partial(dset.get_nearest_examples,						'''vecs2''',						np.ones(5,						dtype=np.floataa						)						)						)




				def        lowercase__     (  self		:					Union[str, Any]						):

								'''simple docstring'''
								from elasticsearch import Elasticsearch

								lowercase__     				=    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__     				=    {'''acknowledged''': True}
												mocked_bulk.return_value([(True, None)] * 30						)
												lowercase__     				=    {'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 29}]}}
												lowercase__     				=    Elasticsearch()

												dset.add_elasticsearch_index('''filename''',						es_client=lowerCamelCase						)
												lowercase__				,		lowercase__     				=    dset.get_nearest_examples('''filename''',						'''my_name-train_29'''						)
												self.assertEqual(examples['''filename'''][0],						'''my_name-train_29'''						)



@require_faiss
class    _UpperCAmelCase      ( A__			):

				"""simple docstring"""




				def        lowercase__     (  self		:					List[Any]						):

								'''simple docstring'''
								import faiss

								lowercase__     				=    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__     				=    np.zeros(5,						dtype=np.floataa						)
								lowercase__     				=    1
								lowercase__				,		lowercase__     				=    index.search(lowerCamelCase						)
								self.assertRaises(lowerCamelCase,						index.search,						query.reshape(-1,						1						)						)
								self.assertGreater(scores[0],						0						)
								self.assertEqual(indices[0],						1						)

								# batched queries
								lowercase__     				=    np.eye(5,						dtype=np.floataa						)[::-1]
								lowercase__				,		lowercase__     				=    index.search_batch(lowerCamelCase						)
								self.assertRaises(lowerCamelCase,						index.search_batch,						queries[0]						)
								lowercase__     				=    [scores[0] for scores in total_scores]
								lowercase__     				=    [indices[0] for indices in total_indices]
								self.assertGreater(np.min(lowerCamelCase						),						0						)
								self.assertListEqual([4, 3, 2, 1, 0],						lowerCamelCase						)




				def        lowercase__     (  self		:					Optional[int]						):

								'''simple docstring'''
								import faiss

								lowercase__     				=    FaissIndex(string_factory='''Flat'''						)
								index.add_vectors(np.eye(5,						dtype=np.floataa						)						)
								self.assertIsInstance(index.faiss_index,						faiss.IndexFlat						)
								lowercase__     				=    FaissIndex(string_factory='''LSH'''						)
								index.add_vectors(np.eye(5,						dtype=np.floataa						)						)
								self.assertIsInstance(index.faiss_index,						faiss.IndexLSH						)
								with self.assertRaises(lowerCamelCase						):
												lowercase__     				=    FaissIndex(string_factory='''Flat''',						custom_index=faiss.IndexFlat(5						)						)




				def        lowercase__     (  self		:					Tuple						):

								'''simple docstring'''
								import faiss

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




				def        lowercase__     (  self		:					List[str]						):

								'''simple docstring'''
								import faiss

								lowercase__     				=    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=lowerCamelCase						) as tmp_file:
												index.save(tmp_file.name						)
												lowercase__     				=    FaissIndex.load(tmp_file.name						)
								os.unlink(tmp_file.name						)

								lowercase__     				=    np.zeros(5,						dtype=np.floataa						)
								lowercase__     				=    1
								lowercase__				,		lowercase__     				=    index.search(lowerCamelCase						)
								self.assertGreater(scores[0],						0						)
								self.assertEqual(indices[0],						1						)






@require_faiss
def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				import faiss

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

				lowercase__     				=    '''index.faiss'''
				lowercase__     				=    F"""mock://{index_name}"""
				index.save(lowerCamelCase_	,     storage_options=mockfs.storage_options       )
				lowercase__     				=    FaissIndex.load(lowerCamelCase_	,     storage_options=mockfs.storage_options       )

				lowercase__     				=    np.zeros(5	,     dtype=np.floataa       )
				lowercase__     				=    1
				lowercase__				,		lowercase__     				=    index.search(lowerCamelCase_       )
				assert scores[0] > 0
				assert indices[0] == 1




@require_elasticsearch
class    _UpperCAmelCase      ( A__			):

				"""simple docstring"""




				def        lowercase__     (  self		:					Dict						):

								'''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__     				=    Elasticsearch()
												lowercase__     				=    {'''acknowledged''': True}
												lowercase__     				=    ElasticSearchIndex(es_client=lowerCamelCase						)
												mocked_bulk.return_value([(True, None)] * 3						)
												index.add_documents(['''foo''', '''bar''', '''foobar''']						)

												# single query
												lowercase__     				=    '''foo'''
												lowercase__     				=    {'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 0}]}}
												lowercase__				,		lowercase__     				=    index.search(lowerCamelCase						)
												self.assertEqual(scores[0],						1						)
												self.assertEqual(indices[0],						0						)

												# single query with timeout
												lowercase__     				=    '''foo'''
												lowercase__     				=    {'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 0}]}}
												lowercase__				,		lowercase__     				=    index.search(lowerCamelCase,						request_timeout=30						)
												self.assertEqual(scores[0],						1						)
												self.assertEqual(indices[0],						0						)

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

												# batched queries with timeout
												lowercase__     				=    ['''foo''', '''bar''', '''foobar''']
												lowercase__     				=    {'''hits''': {'''hits''': [{'''_score''': 1, '''_id''': 1}]}}
												lowercase__				,		lowercase__     				=    index.search_batch(lowerCamelCase,						request_timeout=30						)
												lowercase__     				=    [scores[0] for scores in total_scores]
												lowercase__     				=    [indices[0] for indices in total_indices]
												self.assertGreater(np.min(lowerCamelCase						),						0						)
												self.assertListEqual([1, 1, 1],						lowerCamelCase						)







class    _UpperCAmelCase      :

				"""simple docstring"""




				def __init__(  self		:					Optional[int],						lowerCamelCase		:					Union[str, Any]						):

								'''simple docstring'''
								# we need a list not a string, so do something to change the type
								lowercase__     				=    arr.split(''','''						)




				def        lowercase__     (  self		:					Optional[int]						):

								'''simple docstring'''
								lowercase__     				=    [int(self.array[0]						)] * len(self.array						)
								lowercase__     				=    [int(self.array[0]						)] * len(self.array						)
								for i in range(1,						len(self.array						)						):
												lowercase__     				=    max(
												    int(self.array[i]						) + sum_value[i - 1],						int(self.array[i]						)						)
												lowercase__     				=    max(sum_value[i],						rear[i - 1]						)
								return rear[len(self.array						) - 1]


if __name__ == "__main__":
							A__			:    Dict         =				input('please input some numbers:')
							A__			:    Union[str, Any]         =				SubArray(whole_array)
							A__			:    int         =				array.solve_sub_array()
							print(('the results is:', re))




