






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


a						:			Union[str, Any]     	=					logging.get_logger(__name__)

a						:			List[Any]     	=					{
    "facebook/timesformer": "https://huggingface.co/facebook/timesformer/resolve/main/config.json",
}
class        a       (					lowercase__  ):



      """simple docstring"""


      a    :					Union[str, Any]							=      'timesformer'
      def __init__( self   :     List[Any]						, __lowercase   :     Optional[Any]=224						, __lowercase   :     List[Any]=16						, __lowercase   :     int=3						, __lowercase   :     Tuple=8						, __lowercase   :     str=768						, __lowercase   :     List[Any]=12						, __lowercase   :     List[Any]=12						, __lowercase   :     Dict=3072						, __lowercase   :     Dict="gelu"						, __lowercase   :     Dict=0.0						, __lowercase   :     Dict=0.0						, __lowercase   :     int=0.02						, __lowercase   :     List[str]=1e-6						, __lowercase   :     Tuple=True						, __lowercase   :     Tuple="divided_space_time"						, __lowercase   :     Any=0						, **__lowercase   :     List[Any]						, )				-> Tuple:
        super().__init__(**__lowercase   )

        __UpperCAmelCase				:      Optional[int]	 =    image_size
        __UpperCAmelCase				:      Dict	 =    patch_size
        __UpperCAmelCase				:      Dict	 =    num_channels
        __UpperCAmelCase				:      str	 =    num_frames

        __UpperCAmelCase				:      Optional[int]	 =    hidden_size
        __UpperCAmelCase				:      Union[str, Any]	 =    num_hidden_layers
        __UpperCAmelCase				:      Dict	 =    num_attention_heads
        __UpperCAmelCase				:      Optional[Any]	 =    intermediate_size
        __UpperCAmelCase				:      Optional[int]	 =    hidden_act
        __UpperCAmelCase				:      List[str]	 =    hidden_dropout_prob
        __UpperCAmelCase				:      Optional[int]	 =    attention_probs_dropout_prob
        __UpperCAmelCase				:      Union[str, Any]	 =    initializer_range
        __UpperCAmelCase				:      Any	 =    layer_norm_eps
        __UpperCAmelCase				:      List[Any]	 =    qkv_bias

        __UpperCAmelCase				:      Union[str, Any]	 =    attention_type
        __UpperCAmelCase				:      Dict	 =    drop_path_rate









"""simple docstring"""
from __future__ import annotations

import requests

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    str			):
 lowerCAmelCase    				= 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			):
 lowerCAmelCase    				= 'https://hacker-news.firebaseio.com/v0/topstories.json?print=pretty'
 lowerCAmelCase    				= requests.get(_UpperCAmelCase			).json()[:max_stories]
 return [get_hackernews_story(_UpperCAmelCase			) for story_id in story_ids]

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    int = 10			):
 lowerCAmelCase    				= hackernews_top_stories(_UpperCAmelCase			)
 return "\n".join('* [{title}]({url})'.format(**_UpperCAmelCase			) for story in stories			)


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





