


import pytest

import datasets


# Import fixture modules as plugins
snake_case							:       str     			=      ['''tests.fixtures.files''', '''tests.fixtures.hub''', '''tests.fixtures.fsspec''']






def 							__lowercase   ( __lowerCAmelCase							:				str					,    __lowerCAmelCase							:				int   ):
							# Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
							for item in items:
														if any(marker in item.keywords for marker in ['integration', 'unit']   ):
																					continue
														item.add_marker(pytest.mark.unit   )






def 							__lowercase   ( __lowerCAmelCase							:				Any   ):
							config.addinivalue_line('markers'					,    'torchaudio_latest: mark test to run with torchaudio>=0.12'   )






@pytest.fixture(autouse=__lowerCAmelCase   )
def 							__lowercase   ( __lowerCAmelCase							:				Any					,    __lowerCAmelCase							:				Optional[int]   ):
							# test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
							a__             =     tmp_path_factory.getbasetemp() / 'cache'
							a__             =     test_hf_cache_home / 'datasets'
							a__             =     test_hf_cache_home / 'metrics'
							a__             =     test_hf_cache_home / 'modules'
							monkeypatch.setattr('datasets.config.HF_DATASETS_CACHE'					,    str(__lowerCAmelCase   )   )
							monkeypatch.setattr('datasets.config.HF_METRICS_CACHE'					,    str(__lowerCAmelCase   )   )
							monkeypatch.setattr('datasets.config.HF_MODULES_CACHE'					,    str(__lowerCAmelCase   )   )
							a__             =     test_hf_datasets_cache / 'downloads'
							monkeypatch.setattr('datasets.config.DOWNLOADED_DATASETS_PATH'					,    str(__lowerCAmelCase   )   )
							a__             =     test_hf_datasets_cache / 'downloads' / 'extracted'
							monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH'					,    str(__lowerCAmelCase   )   )






@pytest.fixture(autouse=__lowerCAmelCase					,    scope='session'   )
def 							__lowercase   ( ):
							datasets.disable_progress_bar()






@pytest.fixture(autouse=__lowerCAmelCase   )
def 							__lowercase   ( __lowerCAmelCase							:				Optional[int]   ):
							# don't take tests into account when counting downloads
							monkeypatch.setattr('datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'					,    __lowerCAmelCase   )






@pytest.fixture
def 							__lowercase   ( __lowerCAmelCase							:				Dict   ):
							# Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
							# To be removed once SQLAlchemy 2.0 supported
							monkeypatch.setattr('sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'					,    __lowerCAmelCase   )








import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate







@dataclass(frozen=lowerCamelCase_      )
class        snake_case_   (lowerCamelCase_      ):
					UpperCAmelCase__					:    str          =			field(default='''audio-classification'''	,						metadata={'''include_in_asdict_even_if_is_default''': True}      )
					UpperCAmelCase__					:    ClassVar[Features]          =			Features({'''audio''': Audio()}      )
					UpperCAmelCase__					:    ClassVar[Features]          =			Features({'''labels''': ClassLabel}      )
					UpperCAmelCase__					:    str          =			"audio"
					UpperCAmelCase__					:    str          =			"labels"
					def  lowerCamelCase__(      self   :Optional[int]			,__snake_case   :int      )					->    str:
												if self.label_column not in features:
																			raise ValueError(F'Column {self.label_column} is not present in features.'      )
												if not isinstance(features[self.label_column]			,__snake_case      ):
																			raise ValueError(F'Column {self.label_column} is not a ClassLabel.'      )
												a__             =     copy.deepcopy(self      )
												a__             =     self.label_schema.copy()
												a__             =     features[self.label_column]
												a__             =     label_schema
												return task_template



					@property
					def  lowerCamelCase__(      self   :Dict      )					->    Dict[str, str]:
												return {
												    self.audio_column: "audio",
												    self.label_column: "labels",
												}




