



"""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__ (							__UpperCAmelCase   ):

    def 					_UpperCAmelCase	(				self			:				Tuple):







      """simple docstring"""







      lowercase_								= Dataset.from_dict({"""filename""": ["""my_name-train""" + """_""" + str(lowerCAmelCase_) for x in np.arange(3_0).tolist()]})
      return dset

    def 					_UpperCAmelCase	(				self			:				List[str]):







      """simple docstring"""







      import faiss

      lowercase_								= self._create_dummy_dataset()
      lowercase_								= dset.map(
          lambda lowerCAmelCase_ ,  lowerCAmelCase_: {"vecs": i * np.ones(5 ,  dtype=np.floataa)} ,  with_indices=lowerCAmelCase_ ,  keep_in_memory=lowerCAmelCase_)
      lowercase_								= dset.add_faiss_index("""vecs""" ,  batch_size=1_0_0 ,  metric_type=faiss.METRIC_INNER_PRODUCT)
      lowercase_					,    lowercase_								= 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			:				int):







      """simple docstring"""







      import faiss

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

    def 					_UpperCAmelCase	(				self			:				Optional[Any]):







      """simple docstring"""







      import faiss

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

    def 					_UpperCAmelCase	(				self			:				Any):







      """simple docstring"""







      lowercase_								= 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(lowerCAmelCase_ ,  partial(dset.get_nearest_examples ,  """vecs2""" ,  np.ones(5 ,  dtype=np.floataa)))




    def 					_UpperCAmelCase	(				self			:				int):







      """simple docstring"""







      from elasticsearch import Elasticsearch

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

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







@require_faiss
class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase   ):

    def 					_UpperCAmelCase	(				self			:				List[Any]):







      """simple docstring"""







      import faiss

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

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

    def 					_UpperCAmelCase	(				self			:				Any):







      """simple docstring"""







      import faiss

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

    def 					_UpperCAmelCase	(				self			:				Tuple):







      """simple docstring"""







      import faiss

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




    def 					_UpperCAmelCase	(				self			:				Optional[int]):







      """simple docstring"""







      import faiss

      lowercase_								= 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=lowerCAmelCase_) as tmp_file:
        index.save(tmp_file.name)
        lowercase_								= FaissIndex.load(tmp_file.name)
      os.unlink(tmp_file.name)

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







@require_faiss
def 			_SCREAMING_SNAKE_CASE						(__lowerCAmelCase							) ->						List[str]:







  '''simple docstring'''


  import faiss

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

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

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


@require_elasticsearch
class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase   ):

    def 					_UpperCAmelCase	(				self			:				Optional[int]):







      """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_								= Elasticsearch()
        lowercase_								= {"""acknowledged""": True}
        lowercase_								= ElasticSearchIndex(es_client=lowerCAmelCase_)
        mocked_bulk.return_value([(True, None)] * 3)
        index.add_documents(["""foo""", """bar""", """foobar"""])

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

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

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

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






"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase						:		Optional[Any]			= {"configuration_wavlm": ["WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "WavLMConfig"]}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase						:		str			= [
           "WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST",
           "WavLMForAudioFrameClassification",
           "WavLMForCTC",
           "WavLMForSequenceClassification",
           "WavLMForXVector",
           "WavLMModel",
           "WavLMPreTrainedModel",
       ]

if TYPE_CHECKING:
       from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_wavlm import (
                  WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
                  WavLMForAudioFrameClassification,
                  WavLMForCTC,
                  WavLMForSequenceClassification,
                  WavLMForXVector,
                  WavLMModel,
                  WavLMPreTrainedModel,
              )

else:
       import sys

       UpperCAmelCase						:		Optional[Any]			= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

