





from __future__ import annotations

import requests

_lowerCamelCase :    Any  							= 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 _a (  SCREAMING_SNAKE_CASE__      :  str			,				SCREAMING_SNAKE_CASE__      :  int = 1			,				SCREAMING_SNAKE_CASE__      :  str = "new"			,				SCREAMING_SNAKE_CASE__      :  list | None = None       )	->    dict:

							'''simple docstring'''






							SCREAMING_SNAKE_CASE__       :      Optional[int]     =						wanted_data or []
							if invalid_search_terms := ", ".join(sorted(set(__A       ) - valid_terms       )       ):
														SCREAMING_SNAKE_CASE__       :      int     =						f'''Invalid search term: {invalid_search_terms}'''
														raise ValueError(__A       )
							SCREAMING_SNAKE_CASE__       :      Optional[Any]     =						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

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

							SCREAMING_SNAKE_CASE__       :      Any     =						{}
							for id_ in range(__A       ):
														SCREAMING_SNAKE_CASE__       :      int     =						{
														    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''']))













def _a (  SCREAMING_SNAKE_CASE__      :  int       )	->    str:

							'''simple docstring'''






							if isinstance(SCREAMING_SNAKE_CASE__			,				SCREAMING_SNAKE_CASE__       ):
														raise TypeError("'float' object cannot be interpreted as an integer"       )
							if isinstance(SCREAMING_SNAKE_CASE__			,				SCREAMING_SNAKE_CASE__       ):
														raise TypeError("'str' object cannot be interpreted as an integer"       )

							if num == 0:
														return "0b0"

							SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						False

							if num < 0:
														SCREAMING_SNAKE_CASE__       :      Any     =						True
														SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						-num

							SCREAMING_SNAKE_CASE__       :      list[int]     =						[]
							while num > 0:
														binary.insert(0			,				num % 2       )
														num >>= 1

							if negative:
														return "-0b" + "".join(str(SCREAMING_SNAKE_CASE__       ) for e in binary       )

							return "0b" + "".join(str(SCREAMING_SNAKE_CASE__       ) for e in binary       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()






