





'''simple docstring'''




from __future__ import annotations

import requests

__SCREAMING_SNAKE_CASE     :Tuple       =				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 	UpperCAmelCase_							(					__lowercase							:      str			,     __lowercase							:      int = 1			,     __lowercase							:      str = "new"			,     __lowercase							:      list | None = None       )		->       dict:


     '''simple docstring'''



     _UpperCAmelCase     							=   wanted_data or []
     if invalid_search_terms := ", ".join(sorted(set(__lowercase       ) - valid_terms       )       ):
          _UpperCAmelCase     							=   f'Invalid search term: {invalid_search_terms}'
          raise ValueError(__lowercase       )
     _UpperCAmelCase     							=   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

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

     _UpperCAmelCase     							=   {}
     for id_ in range(__lowercase       ):
          _UpperCAmelCase     							=   {
              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'''




import string
from math import logaa
def 	UpperCAmelCase_							(					__lowercase							:      str			,     __lowercase							:      str       )		->       int:


     '''simple docstring'''



     _UpperCAmelCase     							=   document.translate(
         str.maketrans(""			,     ""			,     string.punctuation       )       ).replace("\n"			,     ""       )
     _UpperCAmelCase     							=   document_without_punctuation.split(" "       )  # word tokenization
     return len([word for word in tokenize_document if word.lower() == term.lower()]       )
def 	UpperCAmelCase_							(					__lowercase							:      str			,     __lowercase							:      str       )		->       tuple[int, int]:


     '''simple docstring'''



     _UpperCAmelCase     							=   corpus.lower().translate(
         str.maketrans(""			,     ""			,     string.punctuation       )       )  # strip all punctuation and replace it with ''
     _UpperCAmelCase     							=   corpus_without_punctuation.split("\n"       )
     _UpperCAmelCase     							=   term.lower()
     return (len([doc for doc in docs if term in doc]       ), len(__lowercase       ))
def 	UpperCAmelCase_							(					__lowercase							:      int			,     __lowercase							:      int			,     __lowercase							:      Union[str, Any]=False       )		->       float:


     '''simple docstring'''



     if smoothing:
          if n == 0:
               raise ValueError("log10(0) is undefined."       )
          return round(1 + logaa(n / (1 + df)       )			,     3       )

     if df == 0:
          raise ZeroDivisionError("df must be > 0"       )
     elif n == 0:
          raise ValueError("log10(0) is undefined."       )
     return round(logaa(n / df       )			,     3       )






def 	UpperCAmelCase_							(					__lowercase							:      int			,     __lowercase							:      int       )		->       float:


     '''simple docstring'''



     return round(tf * idf			,     3       )




