






from __future__ import annotations

import requests

_UpperCAmelCase			:		Optional[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 	lowerCAmelCase_		(lowercase__						:       str     ,					lowercase__						:       int = 1     ,					lowercase__						:       str = "new"     ,					lowercase__						:       list | None = None       )		->    dict:


				'''simple docstring'''




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

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

				lowerCAmelCase__      			=						{}
				for id_ in range(lowercase__       ):
								lowerCAmelCase__      			=						{
								    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"]))













from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCAmelCase			:		Optional[Any]   				=    {
    "configuration_mctct": ["MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP", "MCTCTConfig"],
    "feature_extraction_mctct": ["MCTCTFeatureExtractor"],
    "processing_mctct": ["MCTCTProcessor"],
}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCAmelCase			:		str   				=    [
			    "MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "MCTCTForCTC",
			    "MCTCTModel",
			    "MCTCTPreTrainedModel",
			]


if TYPE_CHECKING:
			from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
			from .feature_extraction_mctct import MCTCTFeatureExtractor
			from .processing_mctct import MCTCTProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
			import sys

			_UpperCAmelCase			:		List[str]   				=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





