


'''simple docstring'''







from __future__ import annotations

import requests

A__:    Union[str, Any]					    =       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 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	str    ,_UpperCAmelCase	:	int = 1    ,_UpperCAmelCase	:	str = "new"    ,_UpperCAmelCase	:	list | None = None  )  ->			dict:
       _a    : int     					=wanted_data or []
       if invalid_search_terms := ", ".join(sorted(set(_UpperCAmelCase  ) - valid_terms  )  ):
              _a    : Optional[Any]     					=F"Invalid search term: {invalid_search_terms}"
              raise ValueError(_UpperCAmelCase  )
       _a    : List[str]     					=requests.get(
           F"https://reddit.com/r/{subreddit}/{age}.json?limit={limit}"    ,headers={"""User-agent""": """A random string"""}    ,)
       if response.status_code == 429:
              raise requests.HTTPError

       _a    : Dict     					=response.json()
       if not wanted_data:
              return {id_: data["data"]["children"][id_] for id_ in range(_UpperCAmelCase  )}

       _a    : List[str]     					={}
       for id_ in range(_UpperCAmelCase  ):
              _a    : str     					={
                  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''']))






'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


A__:    str					    =       {}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A__:    Tuple					    =       ['''GPTSw3Tokenizer''']


if TYPE_CHECKING:
   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_gpt_swa import GPTSwaTokenizer

else:
   import sys

   A__:    str					    =       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


