

import argparse
from collections import defaultdict

import yaml


_UpperCAmelCase            =		"""docs/source/en/_toctree.yml"""




def     UpperCamelCase						(	__lowercase						:			List[str]     ):
		'''simple docstring'''




		A_		:    Optional[Any]         =				defaultdict(__lowercase     )
		A_		:    int         =				[]
		A_		:    Optional[Any]         =				[]
		for doc in doc_list:
				if "local" in doc:
						counts[doc["local"]] += 1

				if doc["title"].lower() == "overview":
						overview_doc.append({'local': doc['local'], 'title': doc['title']}     )
				else:
						new_doc_list.append(__lowercase     )

		A_		:    Tuple         =				new_doc_list
		A_		:    Dict         =				[key for key, value in counts.items() if value > 1]

		A_		:    int         =				[]
		for duplicate_key in duplicates:
				A_		:    Optional[int]         =				list({doc['title'] for doc in doc_list if doc['local'] == duplicate_key}     )
				if len(__lowercase     ) > 1:
						raise ValueError(
						    f'''{duplicate_key} is present several times in the documentation table of content at '''
						    '`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '
						    'others.'     )
				# Only add this once
				new_doc.append({'local': duplicate_key, 'title': titles[0]}     )

		# Add none duplicate-keys
		new_doc.extend([doc for doc in doc_list if 'local' not in counts or counts[doc['local']] == 1]     )
		A_		:    str         =				sorted(__lowercase						,key=lambda __lowercase     : s["title"].lower()     )

		# "overview" gets special treatment and is always first
		if len(__lowercase     ) > 1:
				raise ValueError('{doc_list} has two \'overview\' docs which is not allowed.'     )

		overview_doc.extend(__lowercase     )

		# Sort
		return overview_doc




def     UpperCamelCase						(	__lowercase						:			Dict=False     ):
		'''simple docstring'''




		with open(__lowercase						,encoding='utf-8'     ) as f:
				A_		:    str         =				yaml.safe_load(f.read()     )

		# Get to the API doc
		A_		:    Dict         =				0
		while content[api_idx]["title"] != "API":
				api_idx += 1
		A_		:    Dict         =				content[api_idx]['sections']

		# Then to the model doc
		A_		:    Optional[int]         =				0
		while api_doc[scheduler_idx]["title"] != "Schedulers":
				scheduler_idx += 1

		A_		:    int         =				api_doc[scheduler_idx]['sections']
		A_		:    Optional[Any]         =				clean_doc_toc(__lowercase     )

		A_		:    Any         =				False
		if new_scheduler_doc != scheduler_doc:
				A_		:    Tuple         =				True
				if overwrite:
						A_		:    Tuple         =				new_scheduler_doc

		if diff:
				if overwrite:
						A_		:    List[str]         =				api_doc
						with open(__lowercase						,'w'						,encoding='utf-8'     ) as f:
								f.write(yaml.dump(__lowercase						,allow_unicode=__lowercase     )     )
				else:
						raise ValueError(
						    'The model doc part of the table of content is not properly sorted, run `make style` to fix this.'     )




def     UpperCamelCase						(	__lowercase						:			Dict=False     ):
		'''simple docstring'''




		with open(__lowercase						,encoding='utf-8'     ) as f:
				A_		:    Any         =				yaml.safe_load(f.read()     )

		# Get to the API doc
		A_		:    Dict         =				0
		while content[api_idx]["title"] != "API":
				api_idx += 1
		A_		:    Optional[Any]         =				content[api_idx]['sections']

		# Then to the model doc
		A_		:    Union[str, Any]         =				0
		while api_doc[pipeline_idx]["title"] != "Pipelines":
				pipeline_idx += 1

		A_		:    Optional[int]         =				False
		A_		:    Union[str, Any]         =				api_doc[pipeline_idx]['sections']
		A_		:    Optional[Any]         =				[]

		# sort sub pipeline docs
		for pipeline_doc in pipeline_docs:
				if "section" in pipeline_doc:
						A_		:    List[str]         =				pipeline_doc['section']
						A_		:    Optional[int]         =				clean_doc_toc(__lowercase     )
						if overwrite:
								A_		:    Optional[Any]         =				new_sub_pipeline_doc
				new_pipeline_docs.append(__lowercase     )

		# sort overall pipeline doc
		A_		:    Tuple         =				clean_doc_toc(__lowercase     )

		if new_pipeline_docs != pipeline_docs:
				A_		:    Tuple         =				True
				if overwrite:
						A_		:    Any         =				new_pipeline_docs

		if diff:
				if overwrite:
						A_		:    Optional[int]         =				api_doc
						with open(__lowercase						,'w'						,encoding='utf-8'     ) as f:
								f.write(yaml.dump(__lowercase						,allow_unicode=__lowercase     )     )
				else:
						raise ValueError(
						    'The model doc part of the table of content is not properly sorted, run `make style` to fix this.'     )


if __name__ == "__main__":
	_UpperCAmelCase            =		argparse.ArgumentParser()
	parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
	_UpperCAmelCase            =		parser.parse_args()

	check_scheduler_doc(args.fix_and_overwrite)
	check_pipeline_doc(args.fix_and_overwrite)







from __future__ import annotations

import requests

_UpperCAmelCase            =		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     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			int = 1						,__lowercase						:			str = "new"						,__lowercase						:			list | None = None     ):
		'''simple docstring'''




		A_		:    Tuple         =				wanted_data or []
		if invalid_search_terms := ", ".join(sorted(set(__lowercase     ) - valid_terms     )     ):
				A_		:    int         =				f'''Invalid search term: {invalid_search_terms}'''
				raise ValueError(__lowercase     )
		A_		:    Optional[int]         =				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

		A_		:    Optional[Any]         =				response.json()
		if not wanted_data:
				return {id_: data["data"]["children"][id_] for id_ in range(__lowercase     )}

		A_		:    Union[str, Any]         =				{}
		for id_ in range(__lowercase     ):
				A_		:    List[str]         =				{
				    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"""]))






