"""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 			A__	(     lowerCamelCase__):

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

		def 							__lowerCamelCase							(				self			):
			import faiss

			__lowerCAmelCase      :						Dataset						      =				self._create_dummy_dataset()
			__lowerCAmelCase      :						Any						      =				dset.map(
			    lambda _SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			: {"vecs": i * np.ones(5	,		dtype=np.floataa			)}	,		with_indices=__snake_case	,		keep_in_memory=__snake_case			)
			__lowerCAmelCase      :						Optional[int]						      =				dset.add_faiss_index('vecs'	,		batch_size=1_00	,		metric_type=faiss.METRIC_INNER_PRODUCT			)
			__lowerCAmelCase      :						Optional[Any]						      =				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			):
			import faiss

			__lowerCAmelCase      :						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=1_00	,		metric_type=faiss.METRIC_INNER_PRODUCT	,		)
			__lowerCAmelCase      :						Any						      =				dset.get_nearest_examples('vecs'	,		np.ones(5	,		dtype=np.floataa			)			)
			self.assertEqual(examples['filename'][0]	,		'my_name-train_29'			)

		def 							__lowerCamelCase							(				self			):
			import faiss

			__lowerCAmelCase      :						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			)

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

		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						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 							__lowerCamelCase							(				self			):
			from elasticsearch import Elasticsearch

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

				dset.add_elasticsearch_index('filename'	,		es_client=__snake_case			)
				__lowerCAmelCase      :						Union[str, Any]						      =				dset.get_nearest_examples('filename'	,		'my_name-train_29'			)
				self.assertEqual(examples['filename'][0]	,		'my_name-train_29'			)




@require_faiss
class 			A__	(     lowerCamelCase__):

		def 							__lowerCamelCase							(				self			):
			import faiss

			__lowerCAmelCase      :						List[Any]						      =				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
			__lowerCAmelCase      :						Dict						      =				np.zeros(5	,		dtype=np.floataa			)
			__lowerCAmelCase      :						int						      =				1
			__lowerCAmelCase      :						Tuple						      =				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
			__lowerCAmelCase      :						Optional[Any]						      =				np.eye(5	,		dtype=np.floataa			)[::-1]
			__lowerCAmelCase      :						Dict						      =				index.search_batch(__snake_case			)
			self.assertRaises(__snake_case	,		index.search_batch	,		queries[0]			)
			__lowerCAmelCase      :						List[str]						      =				[scores[0] for scores in total_scores]
			__lowerCAmelCase      :						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 							__lowerCamelCase							(				self			):
			import faiss

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

		def 							__lowerCamelCase							(				self			):
			import faiss

			__lowerCAmelCase      :						List[Any]						      =				faiss.IndexFlat(5			)
			__lowerCAmelCase      :						Tuple						      =				FaissIndex(custom_index=__snake_case			)
			index.add_vectors(np.eye(5	,		dtype=np.floataa			)			)
			self.assertIsInstance(index.faiss_index	,		faiss.IndexFlat			)







		def 							__lowerCamelCase							(				self			):
			import faiss

			__lowerCAmelCase      :						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			)
				__lowerCAmelCase      :						Any						      =				FaissIndex.load(tmp_file.name			)
			os.unlink(tmp_file.name			)

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



@require_faiss
def    __lowerCAmelCase    (_UpperCamelCase		):
	import faiss

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

	__lowerCAmelCase      :						List[Any]						      =				'index.faiss'
	__lowerCAmelCase      :						Optional[Any]						      =				F"mock://{index_name}"
	index.save(_A	,  storage_options=mockfs.storage_options		)
	__lowerCAmelCase      :						str						      =				FaissIndex.load(_A	,  storage_options=mockfs.storage_options		)

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




@require_elasticsearch
class 			A__	(     lowerCamelCase__):

		def 							__lowerCamelCase							(				self			):
			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:
				__lowerCAmelCase      :						Union[str, Any]						      =				Elasticsearch()
				__lowerCAmelCase      :						Optional[Any]						      =				{'acknowledged': True}
				__lowerCAmelCase      :						List[str]						      =				ElasticSearchIndex(es_client=__snake_case			)
				mocked_bulk.return_value([(True, None)] * 3			)
				index.add_documents(['foo', 'bar', 'foobar']			)

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

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

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

"""simple docstring"""







class 			A__	:

		def __init__(				self	,		_SCREAMING_SNAKE_CASE			):
			__lowerCAmelCase      :						List[Any]						      =				size
			__lowerCAmelCase      :						str						      =				[0] * size
			__lowerCAmelCase      :						Any						      =				[0] * size

		@staticmethod
		def 							__lowerCamelCase							(				_SCREAMING_SNAKE_CASE			):
			return index | (index + 1)

		@staticmethod
		def 							__lowerCamelCase							(				_SCREAMING_SNAKE_CASE			):
			return (index & (index + 1)) - 1

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			):
			__lowerCAmelCase      :						Any						      =				value
			while index < self.size:
				__lowerCAmelCase      :						Dict						      =				self.get_prev(_SCREAMING_SNAKE_CASE			) + 1
				if current_left_border == index:
					__lowerCAmelCase      :						Any						      =				value
				else:
					__lowerCAmelCase      :						Any						      =				max(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)
				__lowerCAmelCase      :						List[Any]						      =				self.get_next(_SCREAMING_SNAKE_CASE			)







		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			):
			right -= 1  # Because of right is exclusive
			__lowerCAmelCase      :						Optional[int]						      =				0
			while left <= right:
				__lowerCAmelCase      :						Optional[int]						      =				self.get_prev(_SCREAMING_SNAKE_CASE			)
				if left <= current_left:
					__lowerCAmelCase      :						Optional[Any]						      =				max(_SCREAMING_SNAKE_CASE	,		self.tree[right]			)
					__lowerCAmelCase      :						Optional[Any]						      =				current_left
				else:
					__lowerCAmelCase      :						List[str]						      =				max(_SCREAMING_SNAKE_CASE	,		self.arr[right]			)
					right -= 1
			return result


if __name__ == "__main__":
							import doctest

							doctest.testmod()