



'''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


__lowerCAmelCase		     =  pytest.mark.integration

@require_faiss
class       __magic_name__		(       _UpperCamelCase  ):







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







							def 				__lowercase     (				self   :			int						):
									import faiss

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

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







							def 				__lowercase     (				self   :			Dict						):
									import faiss

									_a	: 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=_UpperCAmelCase						) as tmp_file:
											dset.save_faiss_index('vecs'      ,tmp_file.name						)
											dset.load_faiss_index('vecs2'      ,tmp_file.name						)
									os.unlink(tmp_file.name						)

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







							def 				__lowercase     (				self   :			str						):
									_a	: 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(_UpperCAmelCase      ,partial(dset.get_nearest_examples      ,'vecs2'      ,np.ones(5      ,dtype=np.floataa						)						)						)







							def 				__lowercase     (				self   :			Optional[Any]						):
									from elasticsearch import Elasticsearch

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

											dset.add_elasticsearch_index('filename'      ,es_client=_UpperCAmelCase						)
											_a			,   _a	: Dict								=				dset.get_nearest_examples('filename'      ,'my_name-train_29'						)
											self.assertEqual(examples['filename'][0]      ,'my_name-train_29'						)

@require_faiss
class       __magic_name__		(       _UpperCamelCase  ):







							def 				__lowercase     (				self   :			str						):
									import faiss

									_a	: Dict								=				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
									_a	: Optional[Any]								=				np.zeros(5      ,dtype=np.floataa						)
									_a	: Dict								=				1
									_a			,   _a	: Optional[Any]								=				index.search(_UpperCAmelCase						)
									self.assertRaises(_UpperCAmelCase      ,index.search      ,query.reshape(-1      ,1						)						)
									self.assertGreater(scores[0]      ,0						)
									self.assertEqual(indices[0]      ,1						)

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







							def 				__lowercase     (				self   :			Tuple						):
									import faiss

									_a	: Tuple								=				FaissIndex(string_factory='Flat'						)
									index.add_vectors(np.eye(5      ,dtype=np.floataa						)						)
									self.assertIsInstance(index.faiss_index      ,faiss.IndexFlat						)
									_a	: Union[str, Any]								=				FaissIndex(string_factory='LSH'						)
									index.add_vectors(np.eye(5      ,dtype=np.floataa						)						)
									self.assertIsInstance(index.faiss_index      ,faiss.IndexLSH						)
									with self.assertRaises(_UpperCAmelCase						):
											_a	: Union[str, Any]								=				FaissIndex(string_factory='Flat'      ,custom_index=faiss.IndexFlat(5						)						)







							def 				__lowercase     (				self   :			List[str]						):
									import faiss

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







							def 				__lowercase     (				self   :			List[str]						):
									import faiss

									_a	: str								=				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=_UpperCAmelCase						) as tmp_file:
											index.save(tmp_file.name						)
											_a	: str								=				FaissIndex.load(tmp_file.name						)
									os.unlink(tmp_file.name						)

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



@require_faiss
def 	__lowerCamelCase	( lowerCAmelCase_    )     -> Tuple:
		import faiss

		_a	: Optional[int]								=				FaissIndex(metric_type=faiss.METRIC_INNER_PRODUCT    )
		index.add_vectors(np.eye(5		,     dtype=np.floataa    )    )

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

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

@require_elasticsearch
class       __magic_name__		(       _UpperCamelCase  ):







							def 				__lowercase     (				self   :			Tuple						):
									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:
											_a	: Optional[int]								=				Elasticsearch()
											_a	: Union[str, Any]								=				{'acknowledged': True}
											_a	: Optional[int]								=				ElasticSearchIndex(es_client=_UpperCAmelCase						)
											mocked_bulk.return_value([(True, None)] * 3						)
											index.add_documents(['foo', 'bar', 'foobar']						)

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

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

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

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









'''simple docstring'''

def 	__lowerCamelCase	( lowerCAmelCase_    )     -> bool:
		if not all(x.isalpha() for x in string    ):
				raise ValueError('String must only contain alphabetic characters.'    )

		_a	: Tuple								=				sorted(string.lower()    )
		return len(lowerCAmelCase_    ) == len(set(lowerCAmelCase_    )    )


if __name__ == "__main__":
							__lowerCAmelCase		     =  input('''Enter a string ''').strip()

							__lowerCAmelCase		     =  is_isogram(input_str)
							print(f"""{input_str} is {'an' if isogram else 'not an'} isogram.""")




