



"""simple docstring"""






import os
from collections.abc import Iterator


def     _lowercase       (						__snake_case = "."			)		->     Iterator[str]:
			for dir_path, dir_names, filenames in os.walk(__snake_case			):
						__lowerCAmelCase   :						Dict				= [d for d in dir_names if d != "scripts" and d[0] not in "._"]
						for filename in filenames:
									if filename == "__init__.py":
												continue
									if os.path.splitext(__snake_case			)[1] in (".py", ".ipynb"):
												yield os.path.join(__snake_case      ,__snake_case			).lstrip("./"			)


def     _lowercase       (						__snake_case			)		->     Union[str, Any]:
			return F"""{i * '  '}*""" if i else "\n##"


def     _lowercase       (						__snake_case      ,__snake_case			)		->     str:
			__lowerCAmelCase   :						List[str]				= old_path.split(os.sep			)
			for i, new_part in enumerate(new_path.split(os.sep			)			):
						if (i + 1 > len(__snake_case			) or old_parts[i] != new_part) and new_part:
									print(F"""{md_prefix(__snake_case			)} {new_part.replace('_'      ,' '			).title()}"""			)
			return new_path


def     _lowercase       (						__snake_case = "."			)		->     None:
			__lowerCAmelCase   :						Optional[Any]				= ""
			for filepath in sorted(good_file_paths(__snake_case			)			):
						__lowerCAmelCase		,			__lowerCAmelCase   :						List[Any]				= os.path.split(__snake_case			)
						if filepath != old_path:
									__lowerCAmelCase   :						Dict				= print_path(__snake_case      ,__snake_case			)
						__lowerCAmelCase   :						Any				= (filepath.count(os.sep			) + 1) if filepath else 0
						__lowerCAmelCase   :						List[str]				= F"""{filepath}/{filename}""".replace(" "      ,"%20"			)
						__lowerCAmelCase   :						Any				= os.path.splitext(filename.replace("_"      ," "			).title()			)[0]
						print(F"""{md_prefix(__snake_case			)} [{filename}]({url})"""			)


if __name__ == "__main__":
	print_directory_md('.')




"""simple docstring"""






import logging

from transformers.configuration_utils import PretrainedConfig


__snake_case							:     Tuple   =					logging.getLogger(__name__)



class     A__     (						__SCREAMING_SNAKE_CASE							):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE					   =			'masked_bert'

	def __init__(  self:	str ,    _SCREAMING_SNAKE_CASE:	Tuple=3_0522 ,    _SCREAMING_SNAKE_CASE:	Optional[int]=768 ,    _SCREAMING_SNAKE_CASE:	List[str]=12 ,    _SCREAMING_SNAKE_CASE:	Any=12 ,    _SCREAMING_SNAKE_CASE:	Optional[int]=3072 ,    _SCREAMING_SNAKE_CASE:	List[str]="gelu" ,    _SCREAMING_SNAKE_CASE:	List[str]=0.1 ,    _SCREAMING_SNAKE_CASE:	str=0.1 ,    _SCREAMING_SNAKE_CASE:	Dict=512 ,    _SCREAMING_SNAKE_CASE:	List[Any]=2 ,    _SCREAMING_SNAKE_CASE:	Tuple=0.02 ,    _SCREAMING_SNAKE_CASE:	int=1e-12 ,    _SCREAMING_SNAKE_CASE:	int=0 ,    _SCREAMING_SNAKE_CASE:	Tuple="topK" ,    _SCREAMING_SNAKE_CASE:	Any="constant" ,    _SCREAMING_SNAKE_CASE:	int=0.0 ,    **_SCREAMING_SNAKE_CASE:	Any ,    )       -> List[str]:

				"""simple docstring"""

				super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE ,    **_SCREAMING_SNAKE_CASE)

				__lowerCAmelCase   :						Union[str, Any]				= vocab_size
				__lowerCAmelCase   :						List[str]				= hidden_size
				__lowerCAmelCase   :						Any				= num_hidden_layers
				__lowerCAmelCase   :						Dict				= num_attention_heads
				__lowerCAmelCase   :						Union[str, Any]				= hidden_act
				__lowerCAmelCase   :						Optional[Any]				= intermediate_size
				__lowerCAmelCase   :						int				= hidden_dropout_prob
				__lowerCAmelCase   :						List[Any]				= attention_probs_dropout_prob
				__lowerCAmelCase   :						int				= max_position_embeddings
				__lowerCAmelCase   :						str				= type_vocab_size
				__lowerCAmelCase   :						Any				= initializer_range
				__lowerCAmelCase   :						Optional[int]				= layer_norm_eps
				__lowerCAmelCase   :						Tuple				= pruning_method
				__lowerCAmelCase   :						Union[str, Any]				= mask_init
				__lowerCAmelCase   :						str				= mask_scale