






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      :       List[Any]				  =   pytest.mark.integration


@require_faiss
class       __lowercase      (	__lowercase  ):







     '''simple docstring'''




     def 		lowerCAmelCase_     (				self       :			Dict				):


         """simple docstring"""



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




     def 		lowerCAmelCase_     (				self       :			Tuple				):


         """simple docstring"""



         import faiss

         __A         =	self._create_dummy_dataset()
         __A         =	dset.map(
             lambda UpperCamelCase_ ,	UpperCamelCase_				: {"vecs": i * np.ones(5 ,	dtype=np.floataa				)} ,	with_indices=UpperCamelCase_ ,	keep_in_memory=UpperCamelCase_				)
         __A         =	dset.add_faiss_index("""vecs""" ,	batch_size=100 ,	metric_type=faiss.METRIC_INNER_PRODUCT				)
         __A         =	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       :			int				):


         """simple docstring"""



         import faiss

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




     def 		lowerCAmelCase_     (				self       :			List[Any]				):


         """simple docstring"""



         import faiss

         __A         =	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				)

         __A         =	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"""



         __A         =	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       :			Optional[Any]				):


         """simple docstring"""



         from elasticsearch import Elasticsearch

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

             dset.add_elasticsearch_index("""filename""" ,	es_client=UpperCamelCase_				)
             __A         =	dset.get_nearest_examples("""filename""" ,	"""my_name-train_29"""				)
             self.assertEqual(examples["""filename"""][0] ,	"""my_name-train_29"""				)


@require_faiss
class       __lowercase      (	__lowercase  ):







     '''simple docstring'''




     def 		lowerCAmelCase_     (				self       :			Optional[int]				):


         """simple docstring"""



         import faiss

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

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




     def 		lowerCAmelCase_     (				self       :			List[Any]				):


         """simple docstring"""



         import faiss

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




     def 		lowerCAmelCase_     (				self       :			List[str]				):


         """simple docstring"""



         import faiss

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





     def 		lowerCAmelCase_     (				self       :			Any				):


         """simple docstring"""



         import faiss

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

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



@require_faiss
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Dict    )						->      Any:





    """simple docstring"""

    import faiss

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

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

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






@require_elasticsearch
class       __lowercase      (	__lowercase  ):







     '''simple docstring'''




     def 		lowerCAmelCase_     (				self       :			List[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:
             __A         =	Elasticsearch()
             __A         =	{"acknowledged": True}
             __A         =	ElasticSearchIndex(es_client=UpperCamelCase_				)
             mocked_bulk.return_value([(True, None)] * 3				)
             index.add_documents(["""foo""", """bar""", """foobar"""]				)

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

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

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

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














__a      :       List[Any]				  =   8.3_1_4_4_5_9_8



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			float			,				__lowercase   :			float    )						->      float:





    """simple docstring"""

    if temperature < 0:
        raise Exception("""Temperature cannot be less than 0 K"""    )
    if molar_mass <= 0:
        raise Exception("""Molar mass cannot be less than or equal to 0 kg/mol"""    )
    else:
        return (3 * UNIVERSAL_GAS_CONSTANT * temperature / molar_mass) ** 0.5


if __name__ == "__main__":
  import doctest

  # run doctest
  doctest.testmod()

  # example
  __a      :       int				  =   300
  __a      :       int				  =   28
  __a      :       int				  =   rms_speed_of_molecule(temperature, molar_mass)
  print(f"""Vrms of Nitrogen gas at 300 K is {vrms} m/s""")




