


'''simple docstring'''






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


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

a_   :      Any				    =      {
    "studio-ousia/luke-base": "https://huggingface.co/studio-ousia/luke-base/resolve/main/config.json",
    "studio-ousia/luke-large": "https://huggingface.co/studio-ousia/luke-large/resolve/main/config.json",
}




class 	a       (       snake_case_    ):






 """simple docstring"""




 _lowerCAmelCase	   =		"""luke"""
 def __init__(	self ,			__magic_name__=5_02_67 ,			__magic_name__=50_00_00 ,			__magic_name__=7_68 ,			__magic_name__=2_56 ,			__magic_name__=12 ,			__magic_name__=12 ,			__magic_name__=30_72 ,			__magic_name__="gelu" ,			__magic_name__=0.1 ,			__magic_name__=0.1 ,			__magic_name__=5_12 ,			__magic_name__=2 ,			__magic_name__=0.0_2 ,			__magic_name__=1e-12 ,			__magic_name__=True ,			__magic_name__=None ,			__magic_name__=1 ,			__magic_name__=0 ,			__magic_name__=2 ,			**__magic_name__ ,			)   ->							List[str]:
      super().__init__(pad_token_id=__magic_name__ ,			bos_token_id=__magic_name__ ,			eos_token_id=__magic_name__ ,			**__magic_name__  )

      _a      =							vocab_size
      _a      =							entity_vocab_size
      _a      =							hidden_size
      _a      =							entity_emb_size
      _a      =							num_hidden_layers
      _a      =							num_attention_heads
      _a      =							hidden_act
      _a      =							intermediate_size
      _a      =							hidden_dropout_prob
      _a      =							attention_probs_dropout_prob
      _a      =							max_position_embeddings
      _a      =							type_vocab_size
      _a      =							initializer_range
      _a      =							layer_norm_eps
      _a      =							use_entity_aware_attention
      _a      =							classifier_dropout





'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


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




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

