
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   =			pytest.mark.integration







@require_faiss
class 					lowerCamelCase		(  A_  ):





     def 		UpperCAmelCase(self				:   Union[str, Any]       )						->						int:
         snake_case								= Dataset.from_dict({"filename": ["my_name-train" + "_" + str(_A       ) for x in np.arange(3_0       ).tolist()]}       )
         return dset





     def 		UpperCAmelCase(self				:   Tuple       )						->						List[Any]:
         import faiss

         snake_case								= self._create_dummy_dataset()
         snake_case								= dset.map(
             lambda _A    ,   _A       : {"vecs": i * np.ones(5    ,   dtype=np.floataa       )}    ,   with_indices=_A    ,   keep_in_memory=_A       )
         snake_case								= dset.add_faiss_index("vecs"    ,   batch_size=1_0_0    ,   metric_type=faiss.METRIC_INNER_PRODUCT       )
         snake_case					,							snake_case								= 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       )						->						Any:
         import faiss

         snake_case								= self._create_dummy_dataset()
         dset.add_faiss_index_from_external_arrays(
             external_arrays=np.ones((3_0, 5)       ) * np.arange(3_0       ).reshape(-1    ,   1       )    ,   index_name="vecs"    ,   batch_size=1_0_0    ,   metric_type=faiss.METRIC_INNER_PRODUCT    ,   )
         snake_case					,							snake_case								= dset.get_nearest_examples("vecs"    ,   np.ones(5    ,   dtype=np.floataa       )       )
         self.assertEqual(examples["filename"][0]    ,   "my_name-train_29"       )





     def 		UpperCAmelCase(self				:   int       )						->						int:
         import faiss

         snake_case								= self._create_dummy_dataset()
         dset.add_faiss_index_from_external_arrays(
             external_arrays=np.ones((3_0, 5)       ) * np.arange(3_0       ).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       )

         snake_case					,							snake_case								= dset.get_nearest_examples("vecs2"    ,   np.ones(5    ,   dtype=np.floataa       )       )
         self.assertEqual(examples["filename"][0]    ,   "my_name-train_29"       )





     def 		UpperCAmelCase(self				:   Dict       )						->						Union[str, Any]:
         snake_case								= self._create_dummy_dataset()
         dset.add_faiss_index_from_external_arrays(
             external_arrays=np.ones((3_0, 5)       ) * np.arange(3_0       ).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 		UpperCAmelCase(self				:   Dict       )						->						Union[str, Any]:
         from elasticsearch import Elasticsearch

         snake_case								= 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:
             snake_case								= {"acknowledged": True}
             mocked_bulk.return_value([(True, None)] * 3_0       )
             snake_case								= {"hits": {"hits": [{"_score": 1, "_id": 2_9}]}}
             snake_case								= Elasticsearch()

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







@require_faiss
class 					lowerCamelCase		(  A_  ):





     def 		UpperCAmelCase(self				:   Optional[int]       )						->						Union[str, Any]:
         import faiss

         snake_case								= 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    ,   1_0       )

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

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





     def 		UpperCAmelCase(self				:   str       )						->						int:
         import faiss

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





     def 		UpperCAmelCase(self				:   List[Any]       )						->						Optional[Any]:
         import faiss

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





     def 		UpperCAmelCase(self				:   Tuple       )						->						Optional[int]:
         import faiss

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

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



@require_faiss
def 						lowercase_      (       A__		)							->							Optional[int]:
    """simple docstring"""

    import faiss

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

    snake_case								= "index.faiss"
    snake_case								= F'mock://{index_name}'
    index.save(A__			,		storage_options=mockfs.storage_options		)
    snake_case								= FaissIndex.load(A__			,		storage_options=mockfs.storage_options		)

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







@require_elasticsearch
class 					lowerCamelCase		(  A_  ):





     def 		UpperCAmelCase(self				:   Optional[Any]       )						->						Tuple:
         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:
             snake_case								= Elasticsearch()
             snake_case								= {"acknowledged": True}
             snake_case								= ElasticSearchIndex(es_client=_A       )
             mocked_bulk.return_value([(True, None)] * 3       )
             index.add_documents(["foo", "bar", "foobar"]       )

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

             # single query with timeout
             snake_case								= "foo"
             snake_case								= {"hits": {"hits": [{"_score": 1, "_id": 0}]}}
             snake_case					,							snake_case								= index.search(_A    ,   request_timeout=3_0       )
             self.assertEqual(scores[0]    ,   1       )
             self.assertEqual(indices[0]    ,   0       )

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

             # batched queries with timeout
             snake_case								= ["foo", "bar", "foobar"]
             snake_case								= {"hits": {"hits": [{"_score": 1, "_id": 1}]}}
             snake_case					,							snake_case								= index.search_batch(_A    ,   request_timeout=3_0       )
             snake_case								= [scores[0] for scores in total_scores]
             snake_case								= [indices[0] for indices in total_indices]
             self.assertGreater(np.min(_A       )    ,   0       )
             self.assertListEqual([1, 1, 1]    ,   _A       )



from ....utils import logging


_A   =			logging.get_logger(__name__)







class 					lowerCamelCase		(  A_  ):





     def __init__(self				:   Tuple    ,   _A				:   Optional[int]    ,   _A				:   Tuple=None    ,   _A				:   Union[str, Any]=2_0_4_8       )						->						List[Any]:
         snake_case								= config.__dict__
         snake_case								= modal_hidden_size
         if num_labels:
             snake_case								= num_labels

