

import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


__A   :     int      =			logging.get_logger(__name__)






class    __A				(							lowerCAmelCase__ ):






    def __init__(	self			:    Any    ,				*UpperCAmelCase_			:    List[str]    ,				**UpperCAmelCase_			:    int    ):
        warnings.warn(
            'The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
            ' Please use MobileNetV2ImageProcessor instead.'    ,				_lowerCamelCase    ,				)
        super().__init__(*_lowerCamelCase    ,				**_lowerCamelCase    )








__A   :     List[Any]      =			'''
# Installation de Transformers
! pip install transformers datasets
# Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

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





