

from __future__ import annotations

import requests

__lowerCamelCase      :    Optional[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       (				snake_case_      :							str  ,						snake_case_      :							int = 1  ,						snake_case_      :							str = "new"  ,						snake_case_      :							list | None = None     ):
	snake_case__				:   Optional[int]     =						wanted_data or []
	if invalid_search_terms := ", ".join(sorted(set(snake_case_     ) - valid_terms     )     ):
		snake_case__				:   str     =						F'''Invalid search term: {invalid_search_terms}'''
		raise ValueError(snake_case_     )
	snake_case__				:   Optional[int]     =						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

	snake_case__				:   List[Any]     =						response.json()
	if not wanted_data:
		return {id_: data["data"]["children"][id_] for id_ in range(snake_case_     )}

	snake_case__				:   Optional[Any]     =						{}
	for id_ in range(snake_case_     ):
		snake_case__				:   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"""]))











from __future__ import annotations







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							int     ):
	snake_case__				:   str     =						[True] * limit
	snake_case__				:   str     =						False
	snake_case__				:   str     =						False
	snake_case__				:   str     =						True

	for i in range(3  ,						int(limit**0.5 + 1     )  ,						2     ):
		snake_case__				:   Optional[Any]     =						i * 2
		while index < limit:
			snake_case__				:   Union[str, Any]     =						False
			snake_case__				:   Any     =						index + i

	snake_case__				:   Optional[Any]     =						[2]

	for i in range(3  ,						snake_case_  ,						2     ):
		if is_prime[i]:
			primes.append(snake_case_     )

	return primes







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							int = 1000000     ):
	snake_case__				:   Optional[int]     =						prime_sieve(snake_case_     )
	snake_case__				:   List[Any]     =						0
	snake_case__				:   List[str]     =						0

	for i in range(len(snake_case_     )     ):
		for j in range(i + length  ,						len(snake_case_     )     ):
			snake_case__				:   Dict     =						sum(primes[i:j]     )
			if sol >= ceiling:
				break

			if sol in primes:
				snake_case__				:   Tuple     =						j - i
				snake_case__				:   str     =						sol

	return largest


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



