


"""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


SCREAMING_SNAKE_CASE :    int									=				pytest.mark.integration



@require_faiss
class 			_UpperCAmelCase (							A__				):






		'''simple docstring'''

		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

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



		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			import faiss

			__snake_case	:						Dataset						=				self._create_dummy_dataset()
			__snake_case	:						Any						=				dset.map(
			    lambda a_				,       a_					: {"vecs": i * np.ones(5				,       dtype=np.floataa					)}				,       with_indices=UpperCamelCase_				,       keep_in_memory=UpperCamelCase_					)
			__snake_case	:						List[Any]						=				dset.add_faiss_index('''vecs'''				,       batch_size=1_00				,       metric_type=faiss.METRIC_INNER_PRODUCT					)
			__snake_case	:						Union[str, 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 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			import faiss

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



		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			import faiss

			__snake_case	:						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					)

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



		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			__snake_case	:						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 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			from elasticsearch import Elasticsearch

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

				dset.add_elasticsearch_index('''filename'''				,       es_client=UpperCamelCase_					)
				__snake_case	:						Tuple						=				dset.get_nearest_examples('''filename'''				,       '''my_name-train_29'''					)
				self.assertEqual(examples['''filename'''][0]				,       '''my_name-train_29'''					)



@require_faiss
class 			_UpperCAmelCase (							A__				):






		'''simple docstring'''

		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			import faiss

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



		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			import faiss

			__snake_case	:						Tuple						=				FaissIndex(string_factory='''Flat'''					)
			index.add_vectors(np.eye(5				,       dtype=np.floataa					)					)
			self.assertIsInstance(index.faiss_index				,       faiss.IndexFlat					)
			__snake_case	:						Dict						=				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	:						Optional[int]						=				FaissIndex(string_factory='''Flat'''				,       custom_index=faiss.IndexFlat(5					)					)



		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			import faiss

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



		def 				SCREAMING_SNAKE_CASE  (self					):





			'''simple docstring'''

			import faiss

			__snake_case	:						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					)
				__snake_case	:						Optional[Any]						=				FaissIndex.load(tmp_file.name					)
			os.unlink(tmp_file.name					)

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






@require_faiss
def 		lowercase							(     _snake_case						:      Tuple     )     ->Tuple:
	"""simple docstring"""





	import faiss

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

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

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



@require_elasticsearch
class 			_UpperCAmelCase (							A__				):






		'''simple docstring'''

		def 				SCREAMING_SNAKE_CASE  (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	:						Any						=				Elasticsearch()
				__snake_case	:						Any						=				{'''acknowledged''': True}
				__snake_case	:						int						=				ElasticSearchIndex(es_client=UpperCamelCase_					)
				mocked_bulk.return_value([(True, None)] * 3					)
				index.add_documents(['''foo''', '''bar''', '''foobar''']					)

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

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

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









'''simple docstring'''
from PIL import Image


def 			a      (			__a ,					__a   )  ->	Image:



					'''simple docstring'''






					def brightness(__a   ) -> float:
										return 128 + level + (c - 128)

					if not -2_5_5.0 <= level <= 2_5_5.0:
										raise ValueError('''level must be between -255.0 (black) and 255.0 (white)'''   )
					return img.point(__a   )


if __name__ == "__main__":
		# Load image
		with Image.open('''image_data/lena.jpg''') as img:
				# Change brightness to 100
				__snake_case							      =     change_brightness(img, 100)
				brigt_img.save('''image_data/lena_brightness.png''', format='''png''')