"""simple docstring"""






import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


lowerCAmelCase__    :    Union[str, Any]			=      logging.get_logger(__name__)
class 							snake_case			(					__UpperCAmelCase							):




					"""simple docstring"""

					def __init__(							self  :      int       ,*lowerCamelCase__  :      Dict       ,**lowerCamelCase__  :      List[str]     ):
									warnings.warn(
									    'The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
									    ' Please use ConditionalDetrImageProcessor instead.'       ,lowerCamelCase__       ,)
									super().__init__(*lowerCamelCase__       ,**lowerCamelCase__     )




"""simple docstring"""






from sklearn.neural_network import MLPClassifier

lowerCAmelCase__    :    Any			=      [[0.0, 0.0], [1.0, 1.0], [1.0, 0.0], [0.0, 1.0]]
lowerCAmelCase__    :    Optional[int]			=      [0, 1, 0, 0]


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

clf.fit(X, y)


lowerCAmelCase__    :    Optional[int]			=      [[0.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
lowerCAmelCase__    :    Union[str, Any]			=      clf.predict(test)



def     a_		(   lowerCamelCase			):
				return list(lowerCamelCase			)


if __name__ == "__main__":
						import doctest

						doctest.testmod()



