






"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase_							      = logging.get_logger(__name__)

lowerCamelCase_							      = {
    '''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      UpperCamelCase_			(__A	):
	__magic_name__       =							'''markuplm'''





	def __init__( self   :					List[Any]      ,      lowerCAmelCase_   :					Tuple=30_522      ,      lowerCAmelCase_   :					Dict=768      ,      lowerCAmelCase_   :					Optional[Any]=12      ,      lowerCAmelCase_   :					str=12      ,      lowerCAmelCase_   :					str=3_072      ,      lowerCAmelCase_   :					Optional[int]="gelu"      ,      lowerCAmelCase_   :					str=0.1      ,      lowerCAmelCase_   :					int=0.1      ,      lowerCAmelCase_   :					List[str]=512      ,      lowerCAmelCase_   :					Any=2      ,      lowerCAmelCase_   :					int=0.0_2      ,      lowerCAmelCase_   :					List[str]=1e-12      ,      lowerCAmelCase_   :					List[Any]=0      ,      lowerCAmelCase_   :					Tuple=0      ,      lowerCAmelCase_   :					List[str]=2      ,      lowerCAmelCase_   :					Dict=256      ,      lowerCAmelCase_   :					Union[str, Any]=1_024      ,      lowerCAmelCase_   :					Any=216      ,      lowerCAmelCase_   :					Union[str, Any]=1_001      ,      lowerCAmelCase_   :					str=32      ,      lowerCAmelCase_   :					Any=50      ,      lowerCAmelCase_   :					List[str]="absolute"      ,      lowerCAmelCase_   :					Optional[Any]=True      ,      lowerCAmelCase_   :					Dict=None      ,      **lowerCAmelCase_   :					List[str]      ,      )		->     Union[str, Any]:
				super().__init__(
				    pad_token_id=lowerCAmelCase_      ,      bos_token_id=lowerCAmelCase_      ,      eos_token_id=lowerCAmelCase_      ,      **lowerCAmelCase_      ,      )
				UpperCAmelCase_	:					List[Any]     	=   vocab_size
				UpperCAmelCase_	:					Any     	=   hidden_size
				UpperCAmelCase_	:					Optional[int]     	=   num_hidden_layers
				UpperCAmelCase_	:					List[str]     	=   num_attention_heads
				UpperCAmelCase_	:					List[Any]     	=   hidden_act
				UpperCAmelCase_	:					Any     	=   intermediate_size
				UpperCAmelCase_	:					str     	=   hidden_dropout_prob
				UpperCAmelCase_	:					str     	=   attention_probs_dropout_prob
				UpperCAmelCase_	:					int     	=   max_position_embeddings
				UpperCAmelCase_	:					List[Any]     	=   type_vocab_size
				UpperCAmelCase_	:					Tuple     	=   initializer_range
				UpperCAmelCase_	:					Dict     	=   layer_norm_eps
				UpperCAmelCase_	:					Dict     	=   position_embedding_type
				UpperCAmelCase_	:					Dict     	=   use_cache
				UpperCAmelCase_	:					Any     	=   classifier_dropout
				# additional properties
				UpperCAmelCase_	:					str     	=   max_depth
				UpperCAmelCase_	:					Any     	=   max_xpath_tag_unit_embeddings
				UpperCAmelCase_	:					Optional[Any]     	=   max_xpath_subs_unit_embeddings
				UpperCAmelCase_	:					Dict     	=   tag_pad_id
				UpperCAmelCase_	:					Optional[Any]     	=   subs_pad_id
				UpperCAmelCase_	:					Optional[int]     	=   xpath_unit_hidden_size









'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase  =			{
    """configuration_pegasus_x""": ["""PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PegasusXConfig"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowercase  =			[
	    """PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """PegasusXForConditionalGeneration""",
	    """PegasusXModel""",
	    """PegasusXPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_pegasus_x import (
		    PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
		    PegasusXForConditionalGeneration,
		    PegasusXModel,
		    PegasusXPreTrainedModel,
		)


else:
	import sys

	_lowercase  =			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

