

from __future__ import annotations

import requests

lowercase_       		=  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 						_snake_case(    SCREAMING_SNAKE_CASE__			:	str    ,			SCREAMING_SNAKE_CASE__			:	int = 1    ,			SCREAMING_SNAKE_CASE__			:	str = "new"    ,			SCREAMING_SNAKE_CASE__			:	list | None = None      )							->      dict:





    '''simple docstring'''






    A__          =   wanted_data or []
    if invalid_search_terms := ", ".join(sorted(set(SCREAMING_SNAKE_CASE__      ) - valid_terms      )      ):
        A__          =   f'Invalid search term: {invalid_search_terms}'
        raise ValueError(SCREAMING_SNAKE_CASE__      )
    A__          =   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__          =   response.json()
    if not wanted_data:
        return {id_: data["data"]["children"][id_] for id_ in range(SCREAMING_SNAKE_CASE__      )}

    A__          =   {}
    for id_ in range(SCREAMING_SNAKE_CASE__      ):
        A__          =   {
            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 decimal import Decimal, getcontext
from math import ceil, factorial






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    int					) ->str:






	'''simple docstring'''






	if not isinstance(_lowercase    ,       _lowercase					):
		raise TypeError("Undefined for non-integers"					)
	elif precision < 1:
		raise ValueError("Undefined for non-natural numbers"					)

	a      :		Tuple	=				precision
	a      :		str	=				ceil(precision / 14					)
	a      :		List[Any]	=				42_6880 * Decimal(1_0005					).sqrt()
	a      :		Union[str, Any]	=				1
	a      :		Dict	=				1359_1409
	a      :		Optional[int]	=				Decimal(_lowercase					)
	for k in range(1    ,       _lowercase					):
		a      :		int	=				factorial(6 * k					) // (factorial(3 * k					) * factorial(_lowercase					) ** 3)
		linear_term += 5_4514_0134
		exponential_term *= -26_2537_4126_4076_8000
		partial_sum += Decimal(multinomial_term * linear_term					) / exponential_term
	return str(constant_term / partial_sum					)[:-1]


if __name__ == "__main__":
		a						: Optional[Any]     	=			50
		print(F'''The first {n} digits of pi is: {pi(n)}''')


