

import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


__A	:   Optional[int]	=					logging.get_logger(__name__)


class 			_SCREAMING_SNAKE_CASE      (  lowerCAmelCase__):







						def __init__(			self     ,						*_SCREAMING_SNAKE_CASE     ,						**_SCREAMING_SNAKE_CASE							)->							None:
													warnings.warn(
													    """The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
													    """ Please use DetrImageProcessor instead."""     ,						_SCREAMING_SNAKE_CASE     ,						)
													super().__init__(*_SCREAMING_SNAKE_CASE     ,						**_SCREAMING_SNAKE_CASE							)



from sklearn.neural_network import MLPClassifier

__A	:   Tuple	=					[[0.0, 0.0], [1.0, 1.0], [1.0, 0.0], [0.0, 1.0]]
__A	:   Optional[int]	=					[0, 1, 0, 0]


__A	:   int	=					MLPClassifier(
    solver='lbfgs', alpha=1E-5, hidden_layer_sizes=(5, 2), random_state=1
)

clf.fit(X, y)


__A	:   str	=					[[0.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
__A	:   str	=					clf.predict(test)




def        __UpperCamelCase     (      _A					:							int		)				->Union[str, Any]:



							"""simple docstring"""
							return list(_A		)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
