






from typing import List

import datasets
from datasets.tasks import AudioClassification

from ..folder_based_builder import folder_based_builder


lowerCamelCase			:					Any         =	datasets.utils.logging.get_logger(__name__)



class 							_UpperCamelCase			(folder_based_builder.FolderBasedBuilderConfig			):
      snake_case_  =							None
      snake_case_  =							None



class 							_UpperCamelCase			(folder_based_builder.FolderBasedBuilder			):
      snake_case_  =							datasets.Audio()
      snake_case_  =							"""audio"""
      snake_case_  =							AudioFolderConfig
      snake_case_  =							42  # definition at the bottom of the script
      snake_case_  =							AudioClassification(audio_column="""audio"""							,		label_column="""label"""			)

lowerCamelCase			:					Any         =	[
    '''.aiff''',
    '''.au''',
    '''.avr''',
    '''.caf''',
    '''.flac''',
    '''.htk''',
    '''.svx''',
    '''.mat4''',
    '''.mat5''',
    '''.mpc2k''',
    '''.ogg''',
    '''.paf''',
    '''.pvf''',
    '''.raw''',
    '''.rf64''',
    '''.sd2''',
    '''.sds''',
    '''.ircam''',
    '''.voc''',
    '''.w64''',
    '''.wav''',
    '''.nist''',
    '''.wavex''',
    '''.wve''',
    '''.xi''',
    '''.mp3''',
    '''.opus''',
]
lowerCamelCase			:					Any         =	AUDIO_EXTENSIONS














lowerCamelCase			:					str         =	'''
# Transformers 설치 방법
! pip install transformers datasets
# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

lowerCamelCase			:					Tuple         =	[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
lowerCamelCase			:					Dict         =	{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}






