
"""simple docstring"""





from __future__ import annotations

import requests

UpperCamelCase_       :    Tuple						      =			set(
    '''approved_at_utc approved_by author_flair_background_color
author_flair_css_class author_flair_richtext author_flair_template_id author_fullname
author_premium can_mod_post category clicked content_categories created_utc downs
edited gilded gildings hidden hide_score is_created_from_ads_ui is_meta
is_original_content is_reddit_media_domain is_video link_flair_css_class
link_flair_richtext link_flair_text link_flair_text_color media_embed mod_reason_title
name permalink pwls quarantine saved score secure_media secure_media_embed selftext
subreddit subreddit_name_prefixed subreddit_type thumbnail title top_awarded_type
total_awards_received ups upvote_ratio url user_reports'''.split()
)
def 				A_  (__a					, __a = 1					, __a = "new"					, __a = None					):

					'''simple docstring'''





					A_								=    wanted_data or []
					if invalid_search_terms := ", ".join(sorted(set(__a					) - valid_terms					)					):
										A_								=    f'Invalid search term: {invalid_search_terms}'
										raise ValueError(__a					)
					A_								=    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_								=    response.json()
					if not wanted_data:
										return {id_: data["data"]["children"][id_] for id_ in range(__a					)}

					A_								=    {}
					for id_ in range(__a					):
										A_								=    {
										    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"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase_       :    List[str]						      =			{'''configuration_sew''': ['''SEW_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SEWConfig''']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_       :    Tuple						      =			[
		    '''SEW_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''SEWForCTC''',
		    '''SEWForSequenceClassification''',
		    '''SEWModel''',
		    '''SEWPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_sew import (
				    SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SEWForCTC,
				    SEWForSequenceClassification,
				    SEWModel,
				    SEWPreTrainedModel,
				)


else:
		import sys

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




