





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

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

		SCREAMING_SNAKE_CASE__			=      {}
		for id_ in range(UpperCamelCase__    ):
				SCREAMING_SNAKE_CASE__			=      {
				    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']))






import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_lowerCamelCase   				=			logging.get_logger(__name__)




class   UpperCamelCase_       (     UpperCamelCase__    ):


							def __init__(							self    :List[Any]							,				*__A    :Tuple							,				**__A    :Dict		)   ->   None:



									"""simple docstring"""



									warnings.warn(
									    """The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
									    """ Please use LayoutLMv2ImageProcessor instead."""							,				__A							,				)
									super().__init__(*__A							,				**__A		)