
"""simple docstring"""

from sklearn.neural_network import MLPClassifier

SCREAMING_SNAKE_CASE_			    =  [[0.0, 0.0], [1.0, 1.0], [1.0, 0.0], [0.0, 1.0]]
SCREAMING_SNAKE_CASE_			    =  [0, 1, 0, 0]


SCREAMING_SNAKE_CASE_			    =  MLPClassifier(
    solver='''lbfgs''', alpha=1e-5, hidden_layer_sizes=(5, 2), random_state=1
)

clf.fit(X, y)


SCREAMING_SNAKE_CASE_			    =  [[0.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
SCREAMING_SNAKE_CASE_			    =  clf.predict(test)




def 			lowercase__  (    lowerCAmelCase :    Dict       )       ->					Union[str, Any]:






    """simple docstring"""




    return list(lowerCAmelCase       )


if __name__ == "__main__":
   import doctest

   doctest.testmod()





"""simple docstring"""

from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
   from .image_encoder import PaintByExampleImageEncoder
   from .pipeline_paint_by_example import PaintByExamplePipeline



