"""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__  :  Dict						     =	pytest.mark.integration
@require_faiss
class 				snake_case       ( __UpperCAmelCase				):




					"""simple docstring"""

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







					def 		__lowerCAmelCase						(				self   :	List[Any]			):
									import faiss

									UpperCAmelCase__             =							self._create_dummy_dataset()
									UpperCAmelCase__             =							dset.map(
									    lambda lowerCamelCase__    ,lowerCamelCase__			: {"vecs": i * np.ones(5    ,dtype=np.floataa			)}    ,with_indices=lowerCamelCase__    ,keep_in_memory=lowerCamelCase__			)
									UpperCAmelCase__             =							dset.add_faiss_index('vecs'    ,batch_size=100    ,metric_type=faiss.METRIC_INNER_PRODUCT			)
									UpperCAmelCase__      ,	UpperCAmelCase__             =							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 		__lowerCAmelCase						(				self   :	List[str]			):
									import faiss

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







					def 		__lowerCAmelCase						(				self   :	List[Any]			):
									import faiss

									UpperCAmelCase__             =							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			)

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







					def 		__lowerCAmelCase						(				self   :	Optional[Any]			):
									UpperCAmelCase__             =							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 		__lowerCAmelCase						(				self   :	str			):
									from elasticsearch import Elasticsearch

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

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






@require_faiss
class 				snake_case       ( __UpperCAmelCase				):




					"""simple docstring"""

					def 		__lowerCAmelCase						(				self   :	List[Any]			):
									import faiss

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

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







					def 		__lowerCAmelCase						(				self   :	Dict			):
									import faiss

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







					def 		__lowerCAmelCase						(				self   :	str			):
									import faiss

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







					def 		__lowerCAmelCase						(				self   :	List[Any]			):
									import faiss

									UpperCAmelCase__             =							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			)
													UpperCAmelCase__             =							FaissIndex.load(tmp_file.name			)
									os.unlink(tmp_file.name			)

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






@require_faiss
def   a_						(					lowerCamelCase       ):
				import faiss

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

				UpperCAmelCase__             =							'index.faiss'
				UpperCAmelCase__             =							f'''mock://{index_name}'''
				index.save(lowerCamelCase					,			storage_options=mockfs.storage_options       )
				UpperCAmelCase__             =							FaissIndex.load(lowerCamelCase					,			storage_options=mockfs.storage_options       )

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







@require_elasticsearch
class 				snake_case       ( __UpperCAmelCase				):




					"""simple docstring"""

					def 		__lowerCAmelCase						(				self   :	Any			):
									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:
													UpperCAmelCase__             =							Elasticsearch()
													UpperCAmelCase__             =							{'acknowledged': True}
													UpperCAmelCase__             =							ElasticSearchIndex(es_client=lowerCamelCase__			)
													mocked_bulk.return_value([(True, None)] * 3			)
													index.add_documents(['foo', 'bar', 'foobar']			)

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

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

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

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











"""simple docstring"""
lowerCamelCase_					=      [
    (1000, '''M'''),
    (900, '''CM'''),
    (500, '''D'''),
    (400, '''CD'''),
    (100, '''C'''),
    (90, '''XC'''),
    (50, '''L'''),
    (40, '''XL'''),
    (10, '''X'''),
    (9, '''IX'''),
    (5, '''V'''),
    (4, '''IV'''),
    (1, '''I'''),
]

def 				snake_case      (   A__						):
			UpperCAmelCase_     : List[str]			     =					{"I": 1, "V": 5, "X": 10, "L": 50, "C": 1_00, "D": 5_00, "M": 10_00}
			UpperCAmelCase_     : Optional[Any]			     =					0
			UpperCAmelCase_     : Tuple			     =					0
			while place < len(A__						):
						if (place + 1 < len(A__						)) and (vals[roman[place]] < vals[roman[place + 1]]):
									total += vals[roman[place + 1]] - vals[roman[place]]
									place += 2
						else:
									total += vals[roman[place]]
									place += 1
			return total

def 				snake_case      (   A__						):
			UpperCAmelCase_     : Union[str, Any]			     =					[]
			for arabic, roman in ROMAN:
						((UpperCAmelCase_)     ,	(UpperCAmelCase_))     : str			     =					divmod(A__	,A__						)
						result.append(roman * factor						)
						if number == 0:
									break
			return "".join(A__						)


if __name__ == "__main__":
			import doctest

			doctest.testmod()



