






"""simple docstring"""





from __future__ import annotations

import requests

__lowerCamelCase							=  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    (     __UpperCAmelCase      :    str      ,   __UpperCAmelCase      :    int = 1      ,   __UpperCAmelCase      :    str = "new"      ,   __UpperCAmelCase      :    list | None = None  )    ->							dict:
						__magic_name__:	Union[str, Any]							=       wanted_data or []
						if invalid_search_terms := ", ".join(sorted(set(lowercase_  ) - valid_terms  )  ):
												__magic_name__:	List[str]							=       f'Invalid search term: {invalid_search_terms}'
												raise ValueError(lowercase_  )
						__magic_name__:	List[Any]							=       requests.get(
						    f'https://reddit.com/r/{subreddit}/{age}.json?limit={limit}'      ,   headers={"""User-agent""": """A random string"""}      ,   )
						if response.status_code == 4_2_9:
												raise requests.HTTPError

						__magic_name__:	Union[str, Any]							=       response.json()
						if not wanted_data:
												return {id_: data["data"]["children"][id_] for id_ in range(lowercase_  )}

						__magic_name__:	Dict							=       {}
						for id_ in range(lowercase_  ):
												__magic_name__:	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',
}



