


"""simple docstring"""






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


UpperCamelCase__				:Tuple			   =	logging.get_logger(__name__)

UpperCamelCase__				:Union[str, Any]			   =	{
    """EleutherAI/gpt-neox-20b""": """https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json""",
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}






class      A(  lowerCamelCase__		):

		"""simple docstring"""





		A    =							"gpt_neox"
		def __init__( self					,				SCREAMING_SNAKE_CASE__=5_04_32					,				SCREAMING_SNAKE_CASE__=61_44					,				SCREAMING_SNAKE_CASE__=44					,				SCREAMING_SNAKE_CASE__=64					,				SCREAMING_SNAKE_CASE__=2_45_76					,				SCREAMING_SNAKE_CASE__="gelu"					,				SCREAMING_SNAKE_CASE__=0.2_5					,				SCREAMING_SNAKE_CASE__=1_00_00					,				SCREAMING_SNAKE_CASE__=0.0					,				SCREAMING_SNAKE_CASE__=0.0					,				SCREAMING_SNAKE_CASE__=0.1					,				SCREAMING_SNAKE_CASE__=20_48					,				SCREAMING_SNAKE_CASE__=0.0_2					,				SCREAMING_SNAKE_CASE__=1E-5					,				SCREAMING_SNAKE_CASE__=True					,				SCREAMING_SNAKE_CASE__=0					,				SCREAMING_SNAKE_CASE__=2					,				SCREAMING_SNAKE_CASE__=False					,				SCREAMING_SNAKE_CASE__=True					,				SCREAMING_SNAKE_CASE__=None					,				**SCREAMING_SNAKE_CASE__					,				)      ->	List[str]:

					"""simple docstring"""



					super().__init__(bos_token_id=SCREAMING_SNAKE_CASE__					,				eos_token_id=SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__   )
					_UpperCamelCase					:Optional[Any]					     =	vocab_size
					_UpperCamelCase					:str					     =	max_position_embeddings
					_UpperCamelCase					:Union[str, Any]					     =	hidden_size
					_UpperCamelCase					:Any					     =	num_hidden_layers
					_UpperCamelCase					:Union[str, Any]					     =	num_attention_heads
					_UpperCamelCase					:Union[str, Any]					     =	intermediate_size
					_UpperCamelCase					:Any					     =	hidden_act
					_UpperCamelCase					:int					     =	rotary_pct
					_UpperCamelCase					:Any					     =	rotary_emb_base
					_UpperCamelCase					:Union[str, Any]					     =	attention_dropout
					_UpperCamelCase					:Optional[Any]					     =	hidden_dropout
					_UpperCamelCase					:Any					     =	classifier_dropout
					_UpperCamelCase					:Any					     =	initializer_range
					_UpperCamelCase					:Optional[Any]					     =	layer_norm_eps
					_UpperCamelCase					:List[Any]					     =	use_cache
					_UpperCamelCase					:str					     =	tie_word_embeddings
					_UpperCamelCase					:List[Any]					     =	use_parallel_residual
					_UpperCamelCase					:Tuple					     =	rope_scaling
					self._rope_scaling_validation()

					if self.hidden_size % self.num_attention_heads != 0:
								raise ValueError(
								    '''The hidden size is not divisble by the number of attention heads! Make sure to update them!'''   )





		def   _UpperCamelCase( self   )      ->	Tuple:

					"""simple docstring"""



					if self.rope_scaling is None:
								return

					if not isinstance(self.rope_scaling					,				SCREAMING_SNAKE_CASE__   ) or len(self.rope_scaling   ) != 2:
								raise ValueError(
								    '''`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '''
								    f"got {self.rope_scaling}"   )
					_UpperCamelCase					:List[str]					     =	self.rope_scaling.get('''type'''					,				SCREAMING_SNAKE_CASE__   )
					_UpperCamelCase					:Optional[Any]					     =	self.rope_scaling.get('''factor'''					,				SCREAMING_SNAKE_CASE__   )
					if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
								raise ValueError(
								    f"`rope_scaling`'s name field must be one of ['linear', 'dynamic'], got {rope_scaling_type}"   )
					if rope_scaling_factor is None or not isinstance(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__   ) or rope_scaling_factor <= 1.0:
								raise ValueError(f"`rope_scaling`'s factor field must be an float > 1, got {rope_scaling_factor}"   )





"""simple docstring"""






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


UpperCamelCase__				:str			   =	logging.get_logger(__name__)

UpperCamelCase__				:Optional[int]			   =	{
    """microsoft/markuplm-base""": """https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json""",
    """microsoft/markuplm-large""": """https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json""",
}






class      A(  lowerCamelCase__		):

		"""simple docstring"""





		A    =							"markuplm"
		def __init__( self					,				SCREAMING_SNAKE_CASE__=3_05_22					,				SCREAMING_SNAKE_CASE__=7_68					,				SCREAMING_SNAKE_CASE__=12					,				SCREAMING_SNAKE_CASE__=12					,				SCREAMING_SNAKE_CASE__=30_72					,				SCREAMING_SNAKE_CASE__="gelu"					,				SCREAMING_SNAKE_CASE__=0.1					,				SCREAMING_SNAKE_CASE__=0.1					,				SCREAMING_SNAKE_CASE__=5_12					,				SCREAMING_SNAKE_CASE__=2					,				SCREAMING_SNAKE_CASE__=0.0_2					,				SCREAMING_SNAKE_CASE__=1E-12					,				SCREAMING_SNAKE_CASE__=0					,				SCREAMING_SNAKE_CASE__=0					,				SCREAMING_SNAKE_CASE__=2					,				SCREAMING_SNAKE_CASE__=2_56					,				SCREAMING_SNAKE_CASE__=10_24					,				SCREAMING_SNAKE_CASE__=2_16					,				SCREAMING_SNAKE_CASE__=10_01					,				SCREAMING_SNAKE_CASE__=32					,				SCREAMING_SNAKE_CASE__=50					,				SCREAMING_SNAKE_CASE__="absolute"					,				SCREAMING_SNAKE_CASE__=True					,				SCREAMING_SNAKE_CASE__=None					,				**SCREAMING_SNAKE_CASE__					,				)      ->	Optional[Any]:

					"""simple docstring"""



					super().__init__(
					    pad_token_id=SCREAMING_SNAKE_CASE__					,				bos_token_id=SCREAMING_SNAKE_CASE__					,				eos_token_id=SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__					,				)
					_UpperCamelCase					:Any					     =	vocab_size
					_UpperCamelCase					:Union[str, Any]					     =	hidden_size
					_UpperCamelCase					:List[Any]					     =	num_hidden_layers
					_UpperCamelCase					:int					     =	num_attention_heads
					_UpperCamelCase					:Tuple					     =	hidden_act
					_UpperCamelCase					:str					     =	intermediate_size
					_UpperCamelCase					:Optional[int]					     =	hidden_dropout_prob
					_UpperCamelCase					:Any					     =	attention_probs_dropout_prob
					_UpperCamelCase					:Union[str, Any]					     =	max_position_embeddings
					_UpperCamelCase					:Dict					     =	type_vocab_size
					_UpperCamelCase					:int					     =	initializer_range
					_UpperCamelCase					:Optional[int]					     =	layer_norm_eps
					_UpperCamelCase					:Any					     =	position_embedding_type
					_UpperCamelCase					:Any					     =	use_cache
					_UpperCamelCase					:List[str]					     =	classifier_dropout
					# additional properties
					_UpperCamelCase					:Union[str, Any]					     =	max_depth
					_UpperCamelCase					:Union[str, Any]					     =	max_xpath_tag_unit_embeddings
					_UpperCamelCase					:Optional[Any]					     =	max_xpath_subs_unit_embeddings
					_UpperCamelCase					:int					     =	tag_pad_id
					_UpperCamelCase					:str					     =	subs_pad_id
					_UpperCamelCase					:List[str]					     =	xpath_unit_hidden_size

