


from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding

class     A__   (       snake_case__      ):







    """simple docstring"""

    __magic_name__         =						['image_processor', 'tokenizer']
    __magic_name__         =						'AutoImageProcessor'
    __magic_name__         =						'AutoTokenizer'
    def __init__(			self     ,   __snake_case     ,   __snake_case       ):
         super().__init__(__snake_case     ,   __snake_case       )
         snake_case											=							self.image_processor
    def __call__(			self     ,   __snake_case=None     ,   __snake_case=None     ,   __snake_case=None     ,   **__snake_case       ):






         if text is None and images is None:
              raise ValueError('''You have to specify either text or images. Both cannot be none.'''       )

         if text is not None:
              snake_case											=							self.tokenizer(__snake_case     ,   return_tensors=__snake_case     ,   **__snake_case       )

         if images is not None:
              snake_case											=							self.image_processor(__snake_case     ,   return_tensors=__snake_case     ,   **__snake_case       )

         if text is not None and images is not None:
              snake_case											=							image_features.pixel_values
              return encoding
         elif text is not None:
              return encoding
         else:
              return BatchEncoding(data=dict(**__snake_case       )     ,   tensor_type=__snake_case       )
    def 						a_     (			self     ,   *__snake_case     ,   **__snake_case       ):
         return self.tokenizer.batch_decode(*__snake_case     ,   **__snake_case       )
    def 						a_     (			self     ,   *__snake_case     ,   **__snake_case       ):
         return self.tokenizer.decode(*__snake_case     ,   **__snake_case       )




    @property
    def 						a_     (			self       ):
         return ["input_ids", "attention_mask", "pixel_values"]












'''simple docstring'''
import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    'The `inpainting.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionInpaintPipeline` instead.'
)




