

'''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 		__SCREAMING_SNAKE_CASE       ( __lowerCamelCase			):







				def    lowerCamelCase_  (					self    :		Optional[int]      ):
										'''simple docstring'''
										lowercase   :       Optional[int]								=Dataset.from_dict({'''filename''': ['''my_name-train''' + '''_''' + str(a_      ) for x in np.arange(30      ).tolist()]}      )
										return dset







				def    lowerCamelCase_  (					self    :		Union[str, Any]      ):
										'''simple docstring'''
										import faiss

										lowercase   :       Dataset								=self._create_dummy_dataset()
										lowercase   :       Dict								=dset.map(
										    lambda UpperCAmelCase__		,				UpperCAmelCase__      : {"vecs": i * np.ones(5		,				dtype=np.floataa      )}		,				with_indices=a_		,				keep_in_memory=a_      )
										lowercase   :       Optional[int]								=dset.add_faiss_index('''vecs'''		,				batch_size=100		,				metric_type=faiss.METRIC_INNER_PRODUCT      )
										lowercase   :       str								=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    :		Any      ):
										'''simple docstring'''
										import faiss

										lowercase   :       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=100		,				metric_type=faiss.METRIC_INNER_PRODUCT		,				)
										lowercase   :       Optional[Any]								=dset.get_nearest_examples('''vecs'''		,				np.ones(5		,				dtype=np.floataa      )      )
										self.assertEqual(examples['''filename'''][0]		,				'''my_name-train_29'''      )







				def    lowerCamelCase_  (					self    :		List[str]      ):
										'''simple docstring'''
										import faiss

										lowercase   :       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=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      )

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







				def    lowerCamelCase_  (					self    :		Union[str, Any]      ):
										'''simple docstring'''
										lowercase   :       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(a_		,				partial(dset.get_nearest_examples		,				'''vecs2'''		,				np.ones(5		,				dtype=np.floataa      )      )      )







				def    lowerCamelCase_  (					self    :		str      ):
										'''simple docstring'''
										from elasticsearch import Elasticsearch

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

																dset.add_elasticsearch_index('''filename'''		,				es_client=a_      )
																lowercase   :       str								=dset.get_nearest_examples('''filename'''		,				'''my_name-train_29'''      )
																self.assertEqual(examples['''filename'''][0]		,				'''my_name-train_29'''      )





@require_faiss
class 		__SCREAMING_SNAKE_CASE       ( __lowerCamelCase			):







				def    lowerCamelCase_  (					self    :		List[Any]      ):
										'''simple docstring'''
										import faiss

										lowercase   :       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
										lowercase   :       Optional[int]								=np.zeros(5		,				dtype=np.floataa      )
										lowercase   :       Tuple								=1
										lowercase   :       Tuple								=index.search(a_      )
										self.assertRaises(a_		,				index.search		,				query.reshape(-1		,				1      )      )
										self.assertGreater(scores[0]		,				0      )
										self.assertEqual(indices[0]		,				1      )

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







				def    lowerCamelCase_  (					self    :		Any      ):
										'''simple docstring'''
										import faiss

										lowercase   :       Tuple								=FaissIndex(string_factory='''Flat'''      )
										index.add_vectors(np.eye(5		,				dtype=np.floataa      )      )
										self.assertIsInstance(index.faiss_index		,				faiss.IndexFlat      )
										lowercase   :       str								=FaissIndex(string_factory='''LSH'''      )
										index.add_vectors(np.eye(5		,				dtype=np.floataa      )      )
										self.assertIsInstance(index.faiss_index		,				faiss.IndexLSH      )
										with self.assertRaises(a_      ):
																lowercase   :       int								=FaissIndex(string_factory='''Flat'''		,				custom_index=faiss.IndexFlat(5      )      )







				def    lowerCamelCase_  (					self    :		Optional[Any]      ):
										'''simple docstring'''
										import faiss

										lowercase   :       Union[str, Any]								=faiss.IndexFlat(5      )
										lowercase   :       Optional[int]								=FaissIndex(custom_index=a_      )
										index.add_vectors(np.eye(5		,				dtype=np.floataa      )      )
										self.assertIsInstance(index.faiss_index		,				faiss.IndexFlat      )







				def    lowerCamelCase_  (					self    :		Dict      ):
										'''simple docstring'''
										import faiss

										lowercase   :       Union[str, Any]								=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      )
																lowercase   :       str								=FaissIndex.load(tmp_file.name      )
										os.unlink(tmp_file.name      )

										lowercase   :       Tuple								=np.zeros(5		,				dtype=np.floataa      )
										lowercase   :       Dict								=1
										lowercase   :       Tuple								=index.search(a_      )
										self.assertGreater(scores[0]		,				0      )
										self.assertEqual(indices[0]		,				1      )






@require_faiss
def 							_lowerCAmelCase (      __magic_name__	:    int	)							->     Any:
						import faiss

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

						lowercase   :       Optional[Any]								="index.faiss"
						lowercase   :       int								=f'''mock://{index_name}'''
						index.save(lowerCAmelCase_      ,   storage_options=mockfs.storage_options	)
						lowercase   :       str								=FaissIndex.load(lowerCAmelCase_      ,   storage_options=mockfs.storage_options	)

						lowercase   :       Any								=np.zeros(5      ,   dtype=np.floataa	)
						lowercase   :       Optional[int]								=1
						lowercase   :       Union[str, Any]								=index.search(lowerCAmelCase_	)
						assert scores[0] > 0
						assert indices[0] == 1







@require_elasticsearch
class 		__SCREAMING_SNAKE_CASE       ( __lowerCamelCase			):







				def    lowerCamelCase_  (					self    :		Dict      ):
										'''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:
																lowercase   :       Optional[Any]								=Elasticsearch()
																lowercase   :       Tuple								={"acknowledged": True}
																lowercase   :       List[str]								=ElasticSearchIndex(es_client=a_      )
																mocked_bulk.return_value([(True, None)] * 3      )
																index.add_documents(['''foo''', '''bar''', '''foobar''']      )

																# single query
																lowercase   :       List[str]								="foo"
																lowercase   :       Tuple								={"hits": {"hits": [{"_score": 1, "_id": 0}]}}
																lowercase   :       Union[str, Any]								=index.search(a_      )
																self.assertEqual(scores[0]		,				1      )
																self.assertEqual(indices[0]		,				0      )

																# single query with timeout
																lowercase   :       List[Any]								="foo"
																lowercase   :       List[str]								={"hits": {"hits": [{"_score": 1, "_id": 0}]}}
																lowercase   :       Optional[int]								=index.search(a_		,				request_timeout=30      )
																self.assertEqual(scores[0]		,				1      )
																self.assertEqual(indices[0]		,				0      )

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

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



'''simple docstring'''





from datetime import datetime

import matplotlib.pyplot as plt
import torch






def 							_lowerCAmelCase (      __magic_name__	:    Dict	)							->     Dict:
						for param in module.parameters():
												lowercase   :       List[str]								=False






def 							_lowerCAmelCase (      )							->     List[str]:
						lowercase   :       Dict								='''cuda''' if torch.cuda.is_available() else '''cpu'''
						if torch.backends.mps.is_available() and torch.backends.mps.is_built():
												lowercase   :       Optional[int]								='''mps'''
						if device == "mps":
												print(
												    '''WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'''
												    ''' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'''
												    ''' with generations.'''	)
						return device






def 							_lowerCAmelCase (      __magic_name__	:    Union[str, Any]	)							->     str:
						lowercase   :       Optional[int]								=plt.imshow(__magic_name__	)
						fig.axes.get_xaxis().set_visible(__magic_name__	)
						fig.axes.get_yaxis().set_visible(__magic_name__	)
						plt.show()







def 							_lowerCAmelCase (      )							->     List[Any]:
						lowercase   :       Any								=datetime.now()
						lowercase   :       Dict								=current_time.strftime('''%H:%M:%S'''	)
						return timestamp





