

from __future__ import annotations

import requests

A_			:					List[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 		UpperCamelCase   (lowercase_:					str       , lowercase_:					int = 1       , lowercase_:					str = "new"       , lowercase_:					list | None = None   )	-> dict:
	A__				:       Union[str, Any]	  =						wanted_data or []
	if invalid_search_terms := ", ".join(sorted(set(lowercase_   ) - valid_terms   )   ):
		A__				:       List[str]	  =						f"""Invalid search term: {invalid_search_terms}"""
		raise ValueError(lowercase_   )
	A__				:       List[Any]	  =						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__				:       Union[str, Any]	  =						response.json()
	if not wanted_data:
		return {id_: data["data"]["children"][id_] for id_ in range(lowercase_   )}

	A__				:       Dict	  =						{}
	for id_ in range(lowercase_   ):
		A__				:       Optional[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']))






A_			:					Union[str, Any]    			=     '\n# Installazione di Transformers\n! pip install transformers datasets\n# Per installare dalla fonte invece dell\'ultima versione rilasciata, commenta il comando sopra e\n# rimuovi la modalità commento al comando seguente.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

A_			:					str    			=     [{'type': 'code', 'content': INSTALL_CONTENT}]
A_			:					Any    			=     {
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}



