



from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip









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_)




