



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


lowercase_	       =			pytest.mark.integration






@require_faiss
class 						__a (     SCREAMING_SNAKE_CASE				):



					def 		UpperCamelCase							(						self							:    Optional[int])->							List[Any]:
										__lowerCAmelCase	   =Dataset.from_dict({"""filename""": ["""my_name-train""" + """_""" + str(snake_case_) for x in np.arange(30).tolist()]})
										return dset



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

										__lowerCAmelCase	   =self._create_dummy_dataset()
										__lowerCAmelCase	   =dset.map(
										    lambda snake_case_				,	snake_case_: {"vecs": i * np.ones(5				,	dtype=np.floataa)}				,	with_indices=snake_case_				,	keep_in_memory=snake_case_)
										__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 		UpperCamelCase							(						self							:    Tuple)->							int:
										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 		UpperCamelCase							(						self							:    int)->							List[str]:
										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=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   ,	__lowerCAmelCase	   =dset.get_nearest_examples("""vecs2"""				,	np.ones(5				,	dtype=np.floataa))
										self.assertEqual(examples["""filename"""][0]				,	"""my_name-train_29""")



					def 		UpperCamelCase							(						self							:    Any)->							Optional[int]:
										__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(snake_case_				,	partial(dset.get_nearest_examples				,	"""vecs2"""				,	np.ones(5				,	dtype=np.floataa)))



					def 		UpperCamelCase							(						self							:    Optional[int])->							List[str]:
										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=snake_case_)
															__lowerCAmelCase   ,	__lowerCAmelCase	   =dset.get_nearest_examples("""filename"""				,	"""my_name-train_29""")
															self.assertEqual(examples["""filename"""][0]				,	"""my_name-train_29""")






@require_faiss
class 						__a (     SCREAMING_SNAKE_CASE				):



					def 		UpperCamelCase							(						self							:    Dict)->							int:
										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(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	   =np.eye(5				,	dtype=np.floataa)[::-1]
										__lowerCAmelCase   ,	__lowerCAmelCase	   =index.search_batch(snake_case_)
										self.assertRaises(snake_case_				,	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(snake_case_)				,	0)
										self.assertListEqual([4, 3, 2, 1, 0]				,	snake_case_)



					def 		UpperCamelCase							(						self							:    Optional[Any])->							str:
										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(snake_case_):
															__lowerCAmelCase	   =FaissIndex(string_factory="""Flat"""				,	custom_index=faiss.IndexFlat(5))



					def 		UpperCamelCase							(						self							:    List[str])->							Any:
										import faiss

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



					def 		UpperCamelCase							(						self							:    str)->							Union[str, Any]:
										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=snake_case_) 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(snake_case_)
										self.assertGreater(scores[0]				,	0)
										self.assertEqual(indices[0]				,	1)






@require_faiss
def 					__lowerCAmelCase		(  __lowerCamelCase	:    Optional[Any]	)  ->						List[str]:
					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 (     SCREAMING_SNAKE_CASE				):



					def 		UpperCamelCase							(						self							:    List[str])->							Optional[int]:
										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=snake_case_)
															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(snake_case_)
															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(snake_case_				,	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(snake_case_)
															__lowerCAmelCase	   =[scores[0] for scores in total_scores]
															__lowerCAmelCase	   =[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	   =["""foo""", """bar""", """foobar"""]
															__lowerCAmelCase	   ={"""hits""": {"""hits""": [{"""_score""": 1, """_id""": 1}]}}
															__lowerCAmelCase   ,	__lowerCAmelCase	   =index.search_batch(snake_case_				,	request_timeout=30)
															__lowerCAmelCase	   =[scores[0] for scores in total_scores]
															__lowerCAmelCase	   =[indices[0] for indices in total_indices]
															self.assertGreater(np.min(snake_case_)				,	0)
															self.assertListEqual([1, 1, 1]				,	snake_case_)









def 					__lowerCAmelCase		(  __lowerCamelCase	:    list	)  ->						list:
					if len(__lowerCamelCase	) <= 1:
										return lst

					__lowerCAmelCase	   =1

					while i < len(__lowerCamelCase	):
										if lst[i - 1] <= lst[i]:
															i += 1
										else:
															__lowerCAmelCase   ,	__lowerCAmelCase	   =lst[i], lst[i - 1]
															i -= 1
															if i == 0:
																				__lowerCAmelCase	   =1

					return lst


if __name__ == "__main__":
				lowercase_	       =			input('''Enter numbers separated by a comma:\n''').strip()
				lowercase_	       =			[int(item) for item in user_input.split(''',''')]
				print(gnome_sort(unsorted))




