


'''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


a_  :				List[Any]						= pytest.mark.integration





@require_faiss
class      snake_case    (    lowercase			):





  """simple docstring"""




  def   snake_case		(    self     ):







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






  def   snake_case		(    self     ):







   """simple docstring"""
   import faiss

   lowerCamelCase_      =  self._create_dummy_dataset()
   lowerCamelCase_      =  dset.map(
       lambda UpperCamelCase			,  UpperCamelCase     : {"vecs": i * np.ones(5			,  dtype=np.floataa     )}			,  with_indices=UpperCamelCase			,  keep_in_memory=UpperCamelCase     )
   lowerCamelCase_      =  dset.add_faiss_index("vecs"			,  batch_size=100			,  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   snake_case		(    self     ):







   """simple docstring"""
   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=100			,  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   snake_case		(    self     ):







   """simple docstring"""
   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=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     )

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






  def   snake_case		(    self     ):







   """simple docstring"""
   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(UpperCamelCase			,  partial(dset.get_nearest_examples			,  "vecs2"			,  np.ones(5			,  dtype=np.floataa     )     )     )







  def   snake_case		(    self     ):







   """simple docstring"""
   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=UpperCamelCase     )
    lowerCamelCase_ ,lowerCamelCase_      =  dset.get_nearest_examples("filename"			,  "my_name-train_29"     )
    self.assertEqual(examples["filename"][0]			,  "my_name-train_29"     )





@require_faiss
class      snake_case    (    lowercase			):





  """simple docstring"""




  def   snake_case		(    self     ):







   """simple docstring"""
   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(UpperCamelCase     )
   self.assertRaises(UpperCamelCase			,  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(UpperCamelCase     )
   self.assertRaises(UpperCamelCase			,  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(UpperCamelCase     )			,  0     )
   self.assertListEqual([4, 3, 2, 1, 0]			,  UpperCamelCase     )






  def   snake_case		(    self     ):







   """simple docstring"""
   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(UpperCamelCase     ):
    lowerCamelCase_      =  FaissIndex(string_factory="Flat"			,  custom_index=faiss.IndexFlat(5     )     )






  def   snake_case		(    self     ):







   """simple docstring"""
   import faiss

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







  def   snake_case		(    self     ):







   """simple docstring"""
   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=UpperCamelCase     ) 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(UpperCamelCase     )
   self.assertGreater(scores[0]			,  0     )
   self.assertEqual(indices[0]			,  1     )





@require_faiss
def __snake_case					(      UpperCAmelCase_						:						List[Any]		):
 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(UpperCAmelCase_					,				storage_options=mockfs.storage_options		)
 lowerCamelCase_      =  FaissIndex.load(UpperCAmelCase_					,				storage_options=mockfs.storage_options		)

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







@require_elasticsearch
class      snake_case    (    lowercase			):





  """simple docstring"""




  def   snake_case		(    self     ):







   """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:
    lowerCamelCase_      =  Elasticsearch()
    lowerCamelCase_      =  {"acknowledged": True}
    lowerCamelCase_      =  ElasticSearchIndex(es_client=UpperCamelCase     )
    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(UpperCamelCase     )
    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(UpperCamelCase			,  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(UpperCamelCase     )
    lowerCamelCase_      =  [scores[0] for scores in total_scores]
    lowerCamelCase_      =  [indices[0] for indices in total_indices]
    self.assertGreater(np.min(UpperCamelCase     )			,  0     )
    self.assertListEqual([1, 1, 1]			,  UpperCamelCase     )

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










"""simple docstring"""
import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict



@pytest.mark.parametrize(
    '''split_dict''' ,   [
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train''' ,   num_bytes=13_37 ,   num_examples=42 ,   dataset_name='''my_dataset'''							)}							),
        SplitDict({'''train''': SplitInfo(name='''train''' ,   num_bytes=13_37 ,   num_examples=42							)}							),
        SplitDict({'''train''': SplitInfo()}							),
    ] ,   )
def      __lowerCamelCase   (							a_     :		SplitDict							)			->      Optional[int]:
      __SCREAMING_SNAKE_CASE   :Tuple						=  split_dict._to_yaml_list()
      assert len(a_							) == len(a_							)
      __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  SplitDict._from_yaml_list(a_							)
      for split_name, split_info in split_dict.items():
            # dataset_name field is deprecated, and is therefore not part of the YAML dump
            __SCREAMING_SNAKE_CASE   :int						=  None
            # the split name of split_dict takes over the name of the split info object
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  split_name
      assert split_dict == reloaded







@pytest.mark.parametrize(
    '''split_info''' ,   [SplitInfo(), SplitInfo(dataset_name=a_							), SplitInfo(dataset_name='''my_dataset'''							)]							)
def      __lowerCamelCase   (							a_     :		Dict							)			->      Any:
      # For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
      # field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
      __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  asdict(SplitDict({'''train''': split_info}							)							)
      assert "dataset_name" in split_dict_asdict["train"]
      assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name