

'''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 					lowercase						(  a_ ):


							def 						_snake_case							(			self)							->				str:
								UpperCAmelCase_		:      Dict       	=					Dataset.from_dict({'filename': ['my_name-train' + '_' + str(_snake_case) for x in np.arange(30).tolist()]})
								return dset


							def 						_snake_case							(			self)							->				Optional[Any]:
								import faiss

								UpperCAmelCase_		:      Dataset       	=					self._create_dummy_dataset()
								UpperCAmelCase_		:      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)
								UpperCAmelCase_		:      str       	=					dset.add_faiss_index('vecs'    ,			batch_size=100    ,			metric_type=faiss.METRIC_INNER_PRODUCT)
								UpperCAmelCase_	,    UpperCAmelCase_		:      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 						_snake_case							(			self)							->				List[str]:
								import faiss

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


							def 						_snake_case							(			self)							->				Dict:
								import faiss

								UpperCAmelCase_		:      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)

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


							def 						_snake_case							(			self)							->				Dict:
								UpperCAmelCase_		:      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 						_snake_case							(			self)							->				str:
								from elasticsearch import Elasticsearch

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

									dset.add_elasticsearch_index('filename'    ,			es_client=_snake_case)
									UpperCAmelCase_	,    UpperCAmelCase_		:      str       	=					dset.get_nearest_examples('filename'    ,			'my_name-train_29')
									self.assertEqual(examples['filename'][0]    ,			'my_name-train_29')



@require_faiss
class 					lowercase						(  a_ ):


							def 						_snake_case							(			self)							->				Any:
								import faiss

								UpperCAmelCase_		:      str       	=					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_		:      int       	=					np.zeros(5    ,			dtype=np.floataa)
								UpperCAmelCase_		:      Optional[int]       	=					1
								UpperCAmelCase_	,    UpperCAmelCase_		:      Any       	=					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
								UpperCAmelCase_		:      int       	=					np.eye(5    ,			dtype=np.floataa)[::-1]
								UpperCAmelCase_	,    UpperCAmelCase_		:      Optional[int]       	=					index.search_batch(_snake_case)
								self.assertRaises(_snake_case    ,			index.search_batch    ,			queries[0])
								UpperCAmelCase_		:      List[str]       	=					[scores[0] for scores in total_scores]
								UpperCAmelCase_		:      Any       	=					[indices[0] for indices in total_indices]
								self.assertGreater(np.min(_snake_case)    ,			0)
								self.assertListEqual([4, 3, 2, 1, 0]    ,			_snake_case)


							def 						_snake_case							(			self)							->				Optional[Any]:
								import faiss

								UpperCAmelCase_		:      Dict       	=					FaissIndex(string_factory='Flat')
								index.add_vectors(np.eye(5    ,			dtype=np.floataa))
								self.assertIsInstance(index.faiss_index    ,			faiss.IndexFlat)
								UpperCAmelCase_		:      Optional[Any]       	=					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):
									UpperCAmelCase_		:      List[str]       	=					FaissIndex(string_factory='Flat'    ,			custom_index=faiss.IndexFlat(5))


							def 						_snake_case							(			self)							->				Union[str, Any]:
								import faiss

								UpperCAmelCase_		:      Dict       	=					faiss.IndexFlat(5)
								UpperCAmelCase_		:      List[str]       	=					FaissIndex(custom_index=_snake_case)
								index.add_vectors(np.eye(5    ,			dtype=np.floataa))
								self.assertIsInstance(index.faiss_index    ,			faiss.IndexFlat)





							def 						_snake_case							(			self)							->				Union[str, Any]:
								import faiss

								UpperCAmelCase_		:      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=_snake_case) as tmp_file:
									index.save(tmp_file.name)
									UpperCAmelCase_		:      List[Any]       	=					FaissIndex.load(tmp_file.name)
								os.unlink(tmp_file.name)

								UpperCAmelCase_		:      List[str]       	=					np.zeros(5    ,			dtype=np.floataa)
								UpperCAmelCase_		:      int       	=					1
								UpperCAmelCase_	,    UpperCAmelCase_		:      Dict       	=					index.search(_snake_case)
								self.assertGreater(scores[0]    ,			0)
								self.assertEqual(indices[0]    ,			1)







@require_faiss
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Dict:
	import faiss

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

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

	UpperCAmelCase_		:      Tuple       	=					np.zeros(5   ,dtype=np.floataa  )
	UpperCAmelCase_		:      List[Any]       	=					1
	UpperCAmelCase_	,    UpperCAmelCase_		:      Optional[int]       	=					index.search(UpperCamelCase  )
	assert scores[0] > 0
	assert indices[0] == 1







@require_elasticsearch
class 					lowercase						(  a_ ):


							def 						_snake_case							(			self)							->				Optional[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_		:      Optional[Any]       	=					Elasticsearch()
									UpperCAmelCase_		:      List[str]       	=					{'acknowledged': True}
									UpperCAmelCase_		:      str       	=					ElasticSearchIndex(es_client=_snake_case)
									mocked_bulk.return_value([(True, None)] * 3)
									index.add_documents(['foo', 'bar', 'foobar'])

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

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

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









'''simple docstring'''


import qiskit







def 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase  )    ->    qiskit.result.counts.Counts:
	UpperCAmelCase_		:      Tuple       	=					qiskit.Aer.get_backend('aer_simulator'  )

	UpperCAmelCase_		:      List[str]       	=					qiskit.QuantumCircuit(4   ,2  )
	# encode inputs in qubits 0 and 1
	if bita == 1:
		qc_ha.x(0  )
	if bita == 1:
		qc_ha.x(1  )
	qc_ha.barrier()

	# use cnots to write XOR of the inputs on qubit2
	qc_ha.cx(0   ,2  )
	qc_ha.cx(1   ,2  )

	# use ccx / toffoli gate to write AND of the inputs on qubit3
	qc_ha.ccx(0   ,1   ,3  )
	qc_ha.barrier()

	# extract outputs
	qc_ha.measure(2   ,0  )  # extract XOR value
	qc_ha.measure(3   ,1  )  # extract AND value

	# Execute the circuit on the qasm simulator
	UpperCAmelCase_		:      List[str]       	=					qiskit.execute(UpperCamelCase   ,UpperCamelCase   ,shots=1_0_0_0  )

	# Return the histogram data of the results of the experiment
	return job.result().get_counts(UpperCamelCase  )


if __name__ == "__main__":
						lowerCAmelCase__										= half_adder(1, 1)
						print(F'Half Adder Output Qubit Counts: {counts}')






