


'''simple docstring'''






import warnings

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


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




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





'''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

