


'''simple docstring'''







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


A__:    Dict					    =       logging.get_logger(__name__)

A__:    Dict					    =       {
    '''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__       (						UpperCAmelCase__      ):
      __UpperCamelCase       :  Union[str, Any]	       =							"markuplm"






      def __init__( self			:Dict     ,						SCREAMING_SNAKE_CASE			:str=3_0_5_2_2     ,						SCREAMING_SNAKE_CASE			:Dict=7_6_8     ,						SCREAMING_SNAKE_CASE			:int=1_2     ,						SCREAMING_SNAKE_CASE			:Any=1_2     ,						SCREAMING_SNAKE_CASE			:List[Any]=3_0_7_2     ,						SCREAMING_SNAKE_CASE			:Optional[int]="gelu"     ,						SCREAMING_SNAKE_CASE			:List[str]=0.1     ,						SCREAMING_SNAKE_CASE			:List[Any]=0.1     ,						SCREAMING_SNAKE_CASE			:int=5_1_2     ,						SCREAMING_SNAKE_CASE			:Optional[int]=2     ,						SCREAMING_SNAKE_CASE			:Any=0.02     ,						SCREAMING_SNAKE_CASE			:str=1e-12     ,						SCREAMING_SNAKE_CASE			:List[str]=0     ,						SCREAMING_SNAKE_CASE			:Tuple=0     ,						SCREAMING_SNAKE_CASE			:str=2     ,						SCREAMING_SNAKE_CASE			:Union[str, Any]=2_5_6     ,						SCREAMING_SNAKE_CASE			:Optional[Any]=1_0_2_4     ,						SCREAMING_SNAKE_CASE			:Dict=2_1_6     ,						SCREAMING_SNAKE_CASE			:Union[str, Any]=1_0_0_1     ,						SCREAMING_SNAKE_CASE			:List[Any]=3_2     ,						SCREAMING_SNAKE_CASE			:Optional[Any]=5_0     ,						SCREAMING_SNAKE_CASE			:Union[str, Any]="absolute"     ,						SCREAMING_SNAKE_CASE			:int=True     ,						SCREAMING_SNAKE_CASE			:Any=None     ,						**SCREAMING_SNAKE_CASE			:Tuple     ,						)       ->					Tuple:




             '''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     ,						)
             _a    : str     					=vocab_size
             _a    : List[Any]     					=hidden_size
             _a    : Tuple     					=num_hidden_layers
             _a    : Dict     					=num_attention_heads
             _a    : int     					=hidden_act
             _a    : Union[str, Any]     					=intermediate_size
             _a    : str     					=hidden_dropout_prob
             _a    : List[Any]     					=attention_probs_dropout_prob
             _a    : Union[str, Any]     					=max_position_embeddings
             _a    : Any     					=type_vocab_size
             _a    : Any     					=initializer_range
             _a    : int     					=layer_norm_eps
             _a    : Any     					=position_embedding_type
             _a    : List[str]     					=use_cache
             _a    : Union[str, Any]     					=classifier_dropout
             # additional properties
             _a    : Optional[int]     					=max_depth
             _a    : Optional[Any]     					=max_xpath_tag_unit_embeddings
             _a    : Optional[Any]     					=max_xpath_subs_unit_embeddings
             _a    : Dict     					=tag_pad_id
             _a    : str     					=subs_pad_id
             _a    : List[str]     					=xpath_unit_hidden_size






'''simple docstring'''







from __future__ import annotations

import requests


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	str  )  ->			dict:
       _a    : Any     					=F"https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty"
       return requests.get(_UpperCAmelCase  ).json()


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	int = 10  )  ->			list[dict]:
       _a    : Union[str, Any]     					="""https://hacker-news.firebaseio.com/v0/topstories.json?print=pretty"""
       _a    : int     					=requests.get(_UpperCAmelCase  ).json()[:max_stories]
       return [get_hackernews_story(_UpperCAmelCase  ) for story_id in story_ids]


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	int = 10  )  ->			str:
       _a    : Union[str, Any]     					=hackernews_top_stories(_UpperCAmelCase  )
       return "\n".join("""* [{title}]({url})""".format(**_UpperCAmelCase  ) for story in stories  )


if __name__ == "__main__":
   print(hackernews_top_stories_as_markdown())


