'''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


__UpperCAmelCase     							=pytest.mark.integration




@require_faiss
class     a__      (   snake_case_ ):






     def    SCREAMING_SNAKE_CASE__   ( self		:		Dict    ):





         """simple docstring"""



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






     def    SCREAMING_SNAKE_CASE__   ( self		:		Optional[Any]    ):





         """simple docstring"""



         import faiss

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





         """simple docstring"""



         import faiss

         __lowerCamelCase		=  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	,  __lowerCamelCase		=  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		:		Union[str, Any]    ):





         """simple docstring"""



         import faiss

         __lowerCamelCase		=  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=a    ) 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	,  __lowerCamelCase		=  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		:		List[str]    ):





         """simple docstring"""



         __lowerCamelCase		=  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(a  ,				partial(dset.get_nearest_examples  ,				'''vecs2'''  ,				np.ones(5  ,				dtype=np.floataa    )    )    )






     def    SCREAMING_SNAKE_CASE__   ( self		:		str    ):





         """simple docstring"""



         from elasticsearch import Elasticsearch

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

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




@require_faiss
class     a__      (   snake_case_ ):






     def    SCREAMING_SNAKE_CASE__   ( self		:		Union[str, Any]    ):





         """simple docstring"""



         import faiss

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

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






     def    SCREAMING_SNAKE_CASE__   ( self		:		List[str]    ):





         """simple docstring"""



         import faiss

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






     def    SCREAMING_SNAKE_CASE__   ( self		:		Any    ):





         """simple docstring"""



         import faiss

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






     def    SCREAMING_SNAKE_CASE__   ( self		:		List[Any]    ):





         """simple docstring"""



         import faiss

         __lowerCamelCase		=  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=a    ) as tmp_file:
             index.save(tmp_file.name    )
             __lowerCamelCase		=  FaissIndex.load(tmp_file.name    )
         os.unlink(tmp_file.name    )

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






@require_faiss
def __lowerCAmelCase (							UpperCamelCase__				)	->    List[Any]:
    import faiss

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

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

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




@require_elasticsearch
class     a__      (   snake_case_ ):






     def    SCREAMING_SNAKE_CASE__   ( self		:		str    ):





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

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

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

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

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


import math





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__ = 0	, lowerCamelCase__ = 0    ):
				lowerCamelCase_						=			end or len(lowerCamelCase__    )
				for i in range(lowerCamelCase__	, lowerCamelCase__    ):
								lowerCamelCase_						=			i
								lowerCamelCase_						=			array[i]
								while temp_index != start and temp_index_value < array[temp_index - 1]:
												lowerCamelCase_						=			array[temp_index - 1]
												temp_index -= 1
								lowerCamelCase_						=			temp_index_value
				return array





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    ):  # Max Heap
				lowerCamelCase_						=			index
				lowerCamelCase_						=			2 * index + 1  # Left Node
				lowerCamelCase_						=			2 * index + 2  # Right Node

				if left_index < heap_size and array[largest] < array[left_index]:
								lowerCamelCase_						=			left_index

				if right_index < heap_size and array[largest] < array[right_index]:
								lowerCamelCase_						=			right_index

				if largest != index:
								lowerCamelCase_	,    lowerCamelCase_						=			array[largest], array[index]
								heapify(lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    )





def 			lowerCamelCase_ (				lowerCamelCase__    ):
				lowerCamelCase_						=			len(lowerCamelCase__    )

				for i in range(n // 2	, -1	, -1    ):
								heapify(lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    )

				for i in range(n - 1	, 0	, -1    ):
								lowerCamelCase_	,    lowerCamelCase_						=			array[0], array[i]
								heapify(lowerCamelCase__	, 0	, lowerCamelCase__    )

				return array





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    ):
				if (array[first_index] > array[middle_index]) != (
				    array[first_index] > array[last_index]
				):
								return array[first_index]
				elif (array[middle_index] > array[first_index]) != (
				    array[middle_index] > array[last_index]
				):
								return array[middle_index]
				else:
								return array[last_index]





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    ):
				lowerCamelCase_						=			low
				lowerCamelCase_						=			high
				while True:
								while array[i] < pivot:
												i += 1
								j -= 1
								while pivot < array[j]:
												j -= 1
								if i >= j:
												return i
								lowerCamelCase_	,    lowerCamelCase_						=			array[j], array[i]
								i += 1





def 			lowerCamelCase_ (				lowerCamelCase__    ):
				if len(lowerCamelCase__    ) == 0:
								return array
				lowerCamelCase_						=			2 * math.ceil(math.loga(len(lowerCamelCase__    )    )    )
				lowerCamelCase_						=			1_6
				return intro_sort(lowerCamelCase__	, 0	, len(lowerCamelCase__    )	, lowerCamelCase__	, lowerCamelCase__    )





def 			lowerCamelCase_ (				lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    ):
				while end - start > size_threshold:
								if max_depth == 0:
												return heap_sort(lowerCamelCase__    )
								max_depth -= 1
								lowerCamelCase_						=			median_of_a(lowerCamelCase__	, lowerCamelCase__	, start + ((end - start) // 2) + 1	, end - 1    )
								lowerCamelCase_						=			partition(lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    )
								intro_sort(lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    )
								lowerCamelCase_						=			p
				return insertion_sort(lowerCamelCase__	, lowerCamelCase__	, lowerCamelCase__    )


if __name__ == "__main__":
			import doctest

			doctest.testmod()

			__A				=input('''Enter numbers separated by a comma : ''').strip()
			__A				=[float(item) for item in user_input.split(''',''')]
			print(sort(unsorted))


