


import warnings

from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__     					=			logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__     					=			{
    "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json",
}



class 						_UpperCAmelCase      (     _SCREAMING_SNAKE_CASE							):
		lowerCamelCase_	:			List[str]       			=  '''mvp'''
		lowerCamelCase_	:			Any       			=  ['''past_key_values''']
		lowerCamelCase_	:			Optional[Any]       			=  {'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}






		def __init__(						self				:     List[Any]   ,  UpperCAmelCase				:     Optional[int]=5_02_67   ,  UpperCAmelCase				:     Optional[int]=10_24   ,  UpperCAmelCase				:     str=12   ,  UpperCAmelCase				:     List[str]=40_96   ,  UpperCAmelCase				:     int=16   ,  UpperCAmelCase				:     int=12   ,  UpperCAmelCase				:     Dict=40_96   ,  UpperCAmelCase				:     List[str]=16   ,  UpperCAmelCase				:     Optional[int]=0.0   ,  UpperCAmelCase				:     Tuple=0.0   ,  UpperCAmelCase				:     Tuple="gelu"   ,  UpperCAmelCase				:     Union[str, Any]=10_24   ,  UpperCAmelCase				:     Optional[Any]=0.1   ,  UpperCAmelCase				:     List[str]=0.0   ,  UpperCAmelCase				:     str=0.0   ,  UpperCAmelCase				:     Optional[Any]=0.02   ,  UpperCAmelCase				:     Dict=0.0   ,  UpperCAmelCase				:     List[str]=False   ,  UpperCAmelCase				:     Any=True   ,  UpperCAmelCase				:     Union[str, Any]=1   ,  UpperCAmelCase				:     Optional[Any]=0   ,  UpperCAmelCase				:     Tuple=2   ,  UpperCAmelCase				:     Union[str, Any]=True   ,  UpperCAmelCase				:     Optional[int]=2   ,  UpperCAmelCase				:     Any=2   ,  UpperCAmelCase				:     List[Any]=False   ,  UpperCAmelCase				:     Union[str, Any]=1_00   ,  UpperCAmelCase				:     int=8_00   ,  **UpperCAmelCase				:     Union[str, Any]   ,  ):
				SCREAMING_SNAKE_CASE_				:List[str]				     =						vocab_size
				SCREAMING_SNAKE_CASE_				:List[Any]				     =						max_position_embeddings
				SCREAMING_SNAKE_CASE_				:Any				     =						d_model
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						encoder_ffn_dim
				SCREAMING_SNAKE_CASE_				:str				     =						encoder_layers
				SCREAMING_SNAKE_CASE_				:Tuple				     =						encoder_attention_heads
				SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						decoder_ffn_dim
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						decoder_layers
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						decoder_attention_heads
				SCREAMING_SNAKE_CASE_				:int				     =						dropout
				SCREAMING_SNAKE_CASE_				:Any				     =						attention_dropout
				SCREAMING_SNAKE_CASE_				:List[str]				     =						activation_dropout
				SCREAMING_SNAKE_CASE_				:Any				     =						activation_function
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						init_std
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						encoder_layerdrop
				SCREAMING_SNAKE_CASE_				:Dict				     =						decoder_layerdrop
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						classifier_dropout
				SCREAMING_SNAKE_CASE_				:Any				     =						use_cache
				SCREAMING_SNAKE_CASE_				:Tuple				     =						encoder_layers
				SCREAMING_SNAKE_CASE_				:List[str]				     =						scale_embedding  # scale factor will be sqrt(d_model) if True
				SCREAMING_SNAKE_CASE_				:Dict				     =						use_prompt
				SCREAMING_SNAKE_CASE_				:List[str]				     =						prompt_length
				SCREAMING_SNAKE_CASE_				:List[str]				     =						prompt_mid_dim

				super().__init__(
				    pad_token_id=_lowercase   ,  bos_token_id=_lowercase   ,  eos_token_id=_lowercase   ,  is_encoder_decoder=_lowercase   ,  decoder_start_token_id=_lowercase   ,  forced_eos_token_id=_lowercase   ,  **_lowercase   ,  )

				if self.forced_bos_token_id is None and kwargs.get("force_bos_token_to_be_generated"   ,  _lowercase):
						SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						self.bos_token_id
						warnings.warn(
						    F"Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. "
						    "The config can simply be saved and uploaded again to be fixed.")








'''simple docstring'''



import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


_lowercase          =						logging.get_logger(__name__)




class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE					):






						'''simple docstring'''






						def __init__(   self       ,  *_lowercase       ,  **_lowercase ):

												"""simple docstring"""



												warnings.warn(
												    """The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
												    """ use DonutImageProcessor instead."""       ,  _lowercase       ,  )
												super().__init__(*_lowercase       ,  **_lowercase )
