

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									=  pytest.mark.integration


@require_faiss
class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


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


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				import faiss

				snake_case_   		=			self._create_dummy_dataset()
				snake_case_   		=			dset.map(
				    lambda __UpperCamelCase			,					__UpperCamelCase				: {"vecs": i * np.ones(5			,					dtype=np.floataa				)}			,					with_indices=__UpperCamelCase			,					keep_in_memory=__UpperCamelCase				)
				snake_case_   		=			dset.add_faiss_index('vecs'			,					batch_size=1_00			,					metric_type=faiss.METRIC_INNER_PRODUCT				)
				snake_case_		,							snake_case_   		=			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				):

				"""simple docstring"""


				import faiss

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


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				import faiss

				snake_case_   		=			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				)

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


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				snake_case_   		=			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       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				from elasticsearch import Elasticsearch

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

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







@require_faiss
class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				import faiss

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

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


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				import faiss

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


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				import faiss

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







			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				import faiss

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

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







@require_faiss
def a(lowercase__						):





	'''simple docstring'''
	import faiss

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

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

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






@require_elasticsearch
class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			def       __lowerCAmelCase			(     self				):

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

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

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

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

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



class SCREAMING_SNAKE_CASE	:






			"""simple docstring"""




			def __init__(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				snake_case_   		=			val
				snake_case_   		=			None
				snake_case_   		=			None







			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


				if self.val:
					if val < self.val:
						if self.left is None:
							snake_case_   		=			Node(__UpperCamelCase				)
						else:
							self.left.insert(__UpperCamelCase				)
					elif val > self.val:
						if self.right is None:
							snake_case_   		=			Node(__UpperCamelCase				)
						else:
							self.right.insert(__UpperCamelCase				)
				else:
					snake_case_   		=			val







def a(lowercase__      ,			lowercase__						):





	'''simple docstring'''
	# Recursive traversal
	if root:
		inorder(root.left      ,			lowercase__						)
		res.append(root.val						)
		inorder(root.right      ,			lowercase__						)





def a(lowercase__						):





	'''simple docstring'''
	# Build BST
	if len(lowercase__						) == 0:
		return arr
	snake_case_   		=			Node(arr[0]						)
	for i in range(1      ,			len(lowercase__						)						):
		root.insert(arr[i]						)
	# Traverse BST in order.
	snake_case_   		=			[]
	inorder(lowercase__      ,			lowercase__						)
	return res


if __name__ == "__main__":
		print(tree_sort([10, 1, 3, 2, 9, 14, 13]))
