



from __future__ import annotations

import requests

__lowerCamelCase         =			set(
    '''approved_at_utc approved_by author_flair_background_color
author_flair_css_class author_flair_richtext author_flair_template_id author_fullname
author_premium can_mod_post category clicked content_categories created_utc downs
edited gilded gildings hidden hide_score is_created_from_ads_ui is_meta
is_original_content is_reddit_media_domain is_video link_flair_css_class
link_flair_richtext link_flair_text link_flair_text_color media_embed mod_reason_title
name permalink pwls quarantine saved score secure_media secure_media_embed selftext
subreddit subreddit_name_prefixed subreddit_type thumbnail title top_awarded_type
total_awards_received ups upvote_ratio url user_reports'''.split()
)







def    _snake_case (       __snake_case					,  __snake_case = 1					,  __snake_case = "new"					,  __snake_case = None    )     ->     dict:






      '''simple docstring'''







      UpperCAmelCase_  :	Optional[int]				      =		wanted_data or []
      if invalid_search_terms := ", ".join(sorted(set(__snake_case    ) - valid_terms    )    ):
            UpperCAmelCase_  :	int				      =		F"""Invalid search term: {invalid_search_terms}"""
            raise ValueError(__snake_case    )
      UpperCAmelCase_  :	List[Any]				      =		requests.get(
          F"""https://reddit.com/r/{subreddit}/{age}.json?limit={limit}"""					,  headers={"User-agent": "A random string"}					,  )
      if response.status_code == 4_2_9:
            raise requests.HTTPError

      UpperCAmelCase_  :	List[str]				      =		response.json()
      if not wanted_data:
            return {id_: data["data"]["children"][id_] for id_ in range(__snake_case    )}

      UpperCAmelCase_  :	Dict				      =		{}
      for id_ in range(__snake_case    ):
            UpperCAmelCase_  :	Tuple				      =		{
                item: data["data"]["children"][id_]["data"][item] for item in wanted_data
            }
      return data_dict


if __name__ == "__main__":
   # If you get Error 429, that means you are rate limited.Try after some time
   print(get_subreddit_data('''learnpython''', wanted_data=['''title''', '''url''', '''selftext''']))











import logging

from transformers import PretrainedConfig


__lowerCamelCase         =			logging.getLogger(__name__)


__lowerCamelCase         =			{
    '''bertabs-finetuned-cnndm''': '''https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json''',
}


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       _lowerCamelCase			    =				"""bertabs"""



       def __init__(     self     ,lowercase=30522     ,lowercase=512     ,lowercase=6     ,lowercase=512     ,lowercase=8     ,lowercase=512     ,lowercase=0.2     ,lowercase=6     ,lowercase=768     ,lowercase=8     ,lowercase=2048     ,lowercase=0.2     ,**lowercase     ,):

             """simple docstring"""





             super().__init__(**lowercase)

             UpperCAmelCase_  :	Any				      =		vocab_size
             UpperCAmelCase_  :	int				      =		max_pos

             UpperCAmelCase_  :	List[str]				      =		enc_layers
             UpperCAmelCase_  :	List[str]				      =		enc_hidden_size
             UpperCAmelCase_  :	Any				      =		enc_heads
             UpperCAmelCase_  :	Any				      =		enc_ff_size
             UpperCAmelCase_  :	Optional[int]				      =		enc_dropout

             UpperCAmelCase_  :	List[str]				      =		dec_layers
             UpperCAmelCase_  :	List[Any]				      =		dec_hidden_size
             UpperCAmelCase_  :	List[str]				      =		dec_heads
             UpperCAmelCase_  :	List[Any]				      =		dec_ff_size
             UpperCAmelCase_  :	List[str]				      =		dec_dropout
