





_lowerCamelCase   				=			'\n# Installazione di Transformers\n! pip install transformers datasets\n# Per installare dalla fonte invece dell\'ultima versione rilasciata, commenta il comando sopra e\n# rimuovi la modalità commento al comando seguente.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

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






import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_lowerCamelCase   				=			logging.get_logger(__name__)




class   UpperCamelCase_       (     UpperCamelCase__    ):


							def __init__(							self    :List[Any]							,				*__A    :Tuple							,				**__A    :Dict		)   ->   None:



									"""simple docstring"""



									warnings.warn(
									    """The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
									    """ Please use LayoutLMv2ImageProcessor instead."""							,				__A							,				)
									super().__init__(*__A							,				**__A		)