


from __future__ import annotations

import requests

_SCREAMING_SNAKE_CASE			: Dict			      =    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__						(UpperCamelCase_							,UpperCamelCase_ = 1							,UpperCamelCase_ = "new"							,UpperCamelCase_ = None				):



     """simple docstring"""






     snake_case		 =				wanted_data or []
     if invalid_search_terms := ", ".join(sorted(set(UpperCamelCase_				) - valid_terms				)				):
          snake_case		 =				F'''Invalid search term: {invalid_search_terms}'''
          raise ValueError(UpperCamelCase_				)
     snake_case		 =				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

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

     snake_case		 =				{}
     for id_ in range(UpperCamelCase_				):
          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"]))











"""simple docstring"""
import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format






class 					_UpperCAmelCase   :
					UpperCamelCase      =							None


					def 	lowerCamelCase       (					self			:List[Any]		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)
												A		=  json.loads(feat_extract.to_json_string()		)
												for key, value in self.feat_extract_dict.items():
																			self.assertEqual(obj[key]     ,       __UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Dict		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)

												with tempfile.TemporaryDirectory() as tmpdirname:
																			A		=  os.path.join(__UpperCamelCase     ,       "feat_extract.json"		)
																			feat_extract_first.to_json_file(__UpperCamelCase		)
																			A		=  self.feature_extraction_class.from_json_file(__UpperCamelCase		)

												self.assertEqual(feat_extract_second.to_dict()     ,       feat_extract_first.to_dict()		)


					def 	lowerCamelCase       (					self			:Dict		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)

												with tempfile.TemporaryDirectory() as tmpdirname:
																			A		=  feat_extract_first.save_pretrained(__UpperCamelCase		)[0]
																			check_json_file_has_correct_format(__UpperCamelCase		)
																			A		=  self.feature_extraction_class.from_pretrained(__UpperCamelCase		)

												self.assertEqual(feat_extract_second.to_dict()     ,       feat_extract_first.to_dict()		)


					def 	lowerCamelCase       (					self			:Tuple		):
												A		=  self.feature_extraction_class()
												self.assertIsNotNone(__UpperCamelCase		)


