


from __future__ import annotations

import requests

UpperCAmelCase_      : Dict  					=       set(
    'approved_at_utc approved_by author_flair_background_color\nauthor_flair_css_class author_flair_richtext author_flair_template_id author_fullname\nauthor_premium can_mod_post category clicked content_categories created_utc downs\nedited gilded gildings hidden hide_score is_created_from_ads_ui is_meta\nis_original_content is_reddit_media_domain is_video link_flair_css_class\nlink_flair_richtext link_flair_text link_flair_text_color media_embed mod_reason_title\nname permalink pwls quarantine saved score secure_media secure_media_embed selftext\nsubreddit subreddit_name_prefixed subreddit_type thumbnail title top_awarded_type\ntotal_awards_received ups upvote_ratio url user_reports'.split()
)







def        SCREAMING_SNAKE_CASE_						(			__A :			str  ,    __A :			int = 1  ,    __A :			str = "new"  ,    __A :			list | None = None				)	->		dict:

       """simple docstring"""

       a_					:		List[Any]							=  wanted_data or []
       if invalid_search_terms := ", ".join(sorted(set(__A				) - valid_terms				)				):
              a_					:		List[Any]							=  F"""Invalid search term: {invalid_search_terms}"""
              raise ValueError(__A				)
       a_					:		Dict							=  requests.get(
           F"""https://reddit.com/r/{subreddit}/{age}.json?limit={limit}"""  ,    headers={'User-agent': 'A random string'}  ,    )
       if response.status_code == 4_29:
              raise requests.HTTPError

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

       a_					:		List[Any]							=  {}
       for id_ in range(__A				):
              a_					:		Any							=  {
                  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']))





from __future__ import annotations






def        UpperCamelCase_(							_snake_case   :  int	):




			"""simple docstring"""






			__a        =str(_snake_case	)
			return len(_snake_case	) == 9 and set(_snake_case	) == set('123456789'	)






def        UpperCamelCase_(							):




			"""simple docstring"""






			for base_num in range(9999       ,     4999       ,     -1	):
						__a        =100002 * base_num
						if is_9_pandigital(_snake_case	):
									return candidate

			for base_num in range(333       ,     99       ,     -1	):
						__a        =1002003 * base_num
						if is_9_pandigital(_snake_case	):
									return candidate

			return None


if __name__ == "__main__":
						print(f'''{solution() = }''')






