



"""simple docstring"""
import warnings

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


class 							lowerCamelCase_(      A__			):





					'''simple docstring'''



					lowercase__      :				Optional[int]        =       ['image_processor', 'tokenizer']
					lowercase__      :				Union[str, Any]        =       'AutoImageProcessor'
					lowercase__      :				int        =       'AutoTokenizer'

					def __init__(			self ,				lowerCamelCase__=None ,				lowerCamelCase__=None ,				**lowerCamelCase__      ):
									_lowerCamelCase					     = None
									if "feature_extractor" in kwargs:
													warnings.warn(
													    '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
													    ''' instead.''' ,				lowerCamelCase__ ,				)
													_lowerCamelCase					     = kwargs.pop('''feature_extractor'''      )

									_lowerCamelCase					     = image_processor if image_processor is not None else feature_extractor
									if image_processor is None:
													raise ValueError('''You have to specify an image_processor.'''      )
									if tokenizer is None:
													raise ValueError('''You have to specify a tokenizer.'''      )

									super().__init__(lowerCamelCase__ ,				lowerCamelCase__      )
									_lowerCamelCase					     = self.image_processor

					def __call__(			self ,				lowerCamelCase__=None ,				lowerCamelCase__=None ,				lowerCamelCase__=None ,				**lowerCamelCase__      ):

									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:
													_lowerCamelCase					     = self.tokenizer(lowerCamelCase__ ,				return_tensors=lowerCamelCase__ ,				**lowerCamelCase__      )

									if images is not None:
													_lowerCamelCase					     = self.image_processor(lowerCamelCase__ ,				return_tensors=lowerCamelCase__ ,				**lowerCamelCase__      )

									if text is not None and images is not None:
													_lowerCamelCase					     = image_features.pixel_values
													return encoding
									elif text is not None:
													return encoding
									else:
													return BatchEncoding(data=dict(**lowerCamelCase__      ) ,				tensor_type=lowerCamelCase__      )

					def 	snake_case__					(			self ,				*lowerCamelCase__ ,				**lowerCamelCase__      ):
									return self.tokenizer.batch_decode(*lowerCamelCase__ ,				**lowerCamelCase__      )

					def 	snake_case__					(			self ,				*lowerCamelCase__ ,				**lowerCamelCase__      ):
									return self.tokenizer.decode(*lowerCamelCase__ ,				**lowerCamelCase__      )

					@property
					def 	snake_case__					(			self      ):
									_lowerCamelCase					     = self.tokenizer.model_input_names
									_lowerCamelCase					     = self.image_processor.model_input_names
									return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names      )      )

					@property
					def 	snake_case__					(			self      ):
									warnings.warn(
									    '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.''' ,				lowerCamelCase__ ,				)
									return self.image_processor_class





					@property
					def 	snake_case__					(			self      ):
									warnings.warn(
									    '''`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.''' ,				lowerCamelCase__ ,				)
									return self.image_processor





"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


__SCREAMING_SNAKE_CASE     :  Union[str, Any]										=					logging.get_logger(__name__)


class 							lowerCamelCase_(      A__			):





					'''simple docstring'''



					def __init__(			self ,				*lowerCamelCase__ ,				**lowerCamelCase__      ):
									warnings.warn(
									    '''The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
									    ''' Please use LayoutLMv3ImageProcessor instead.''' ,				lowerCamelCase__ ,				)
									super().__init__(*lowerCamelCase__ ,				**lowerCamelCase__      )
