

'''simple docstring'''


# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async







def 						SCREAMING_SNAKE_CASE(  UpperCamelCase=None  )    ->    Union[str, Any]:
	if subparsers is not None:
		UpperCAmelCase_		:      Union[str, Any]       	=					subparsers.add_parser('test'  )
	else:
		UpperCAmelCase_		:      Dict       	=					argparse.ArgumentParser('Accelerate test command'  )

	parser.add_argument(
	    '--config_file'   ,default=UpperCamelCase   ,help=(
	        'The path to use to store the config file. Will default to a file named default_config.yaml in the cache '
	        'location, which is the content of the environment `HF_HOME` suffixed with \'accelerate\', or if you don\'t have '
	        'such an environment variable, your cache directory (\'~/.cache\' or the content of `XDG_CACHE_HOME`) suffixed '
	        'with \'huggingface\'.'
	    )   ,)

	if subparsers is not None:
		parser.set_defaults(func=UpperCamelCase  )
	return parser







def 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Any:
	UpperCAmelCase_		:      List[Any]       	=					os.path.sep.join(__file__.split(os.path.sep  )[:-2] + ['test_utils', 'scripts', 'test_script.py']  )

	if args.config_file is None:
		UpperCAmelCase_		:      Union[str, Any]       	=					script_name
	else:
		UpperCAmelCase_		:      Tuple       	=					f"""--config_file={args.config_file} {script_name}"""

	UpperCAmelCase_		:      List[Any]       	=					['accelerate-launch'] + test_args.split()
	UpperCAmelCase_		:      int       	=					execute_subprocess_async(UpperCamelCase   ,env=os.environ.copy()  )
	if result.returncode == 0:
		print('Test is a success! You are ready for your distributed training!'  )







def 						SCREAMING_SNAKE_CASE(  )    ->    List[str]:
	UpperCAmelCase_		:      List[Any]       	=					test_command_parser()
	UpperCAmelCase_		:      str       	=					parser.parse_args()
	test_command(UpperCamelCase  )


if __name__ == "__main__":
						main()









'''simple docstring'''


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   ,UpperCamelCase = 1   ,UpperCamelCase = "new"   ,UpperCamelCase = None  )    ->    dict:
	UpperCAmelCase_		:      Dict       	=					wanted_data or []
	if invalid_search_terms := ", ".join(sorted(set(UpperCamelCase  ) - valid_terms  )  ):
		UpperCAmelCase_		:      str       	=					f"""Invalid search term: {invalid_search_terms}"""
		raise ValueError(UpperCamelCase  )
	UpperCAmelCase_		:      Dict       	=					requests.get(
	    f"""https://reddit.com/r/{subreddit}/{age}.json?limit={limit}"""   ,headers={'User-agent': 'A random string'}   ,)
	if response.status_code == 4_2_9:
		raise requests.HTTPError

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

	UpperCAmelCase_		:      List[str]       	=					{}
	for id_ in range(UpperCamelCase  ):
		UpperCAmelCase_		:      Tuple       	=					{
		    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"]))






