import argparse
import json
import os
import time
import zipfile

from get_ci_error_statistics import download_artifact, get_artifacts_links

from transformers import logging


__SCREAMING_SNAKE_CASE						:   Tuple         =			logging.get_logger(__name__)
def  snake_case						(__lowercase ,      __lowercase						)	->	Any:

						'''simple docstring'''



						_snake_case						:					List[str]    =   set()
						_snake_case						:					int    =   []

						def parse_line(__lowercase						):
												for line in fp:
																		if isinstance(__lowercase ,      __lowercase						):
																								_snake_case						:					int    =   line.decode("UTF-8"						)
																		if "warnings summary (final)" in line:
																								continue
																		# This means we are outside the body of a warning
																		elif not line.startswith(" "						):
																								# process a single warning and move it to `selected_warnings`.
																								if len(__lowercase						) > 0:
																														_snake_case						:					Optional[int]    =   "\n".join(__lowercase						)
																														# Only keep the warnings specified in `targets`
																														if any(F""": {x}: """ in warning for x in targets						):
																																				selected_warnings.add(__lowercase						)
																														buffer.clear()
																								continue
																		else:
																								_snake_case						:					str    =   line.strip()
																								buffer.append(__lowercase						)

						if from_gh:
												for filename in os.listdir(__lowercase						):
																		_snake_case						:					Optional[int]    =   os.path.join(__lowercase ,      __lowercase						)
																		if not os.path.isdir(__lowercase						):
																								# read the file
																								if filename != "warnings.txt":
																														continue
																								with open(__lowercase						) as fp:
																														parse_line(__lowercase						)
						else:
												try:
																		with zipfile.ZipFile(__lowercase						) as z:
																								for filename in z.namelist():
																														if not os.path.isdir(__lowercase						):
																																				# read the file
																																				if filename != "warnings.txt":
																																										continue
																																				with z.open(__lowercase						) as fp:
																																										parse_line(__lowercase						)
												except Exception:
																		logger.warning(
																		    F"""{artifact_path} is either an invalid zip file or something else wrong. This file is skipped."""						)

						return selected_warnings
def  snake_case						(__lowercase ,      __lowercase						)	->	Any:

						'''simple docstring'''



						_snake_case						:					Tuple    =   set()

						_snake_case						:					Union[str, Any]    =   [os.path.join(__lowercase ,      __lowercase						) for p in os.listdir(__lowercase						) if (p.endswith(".zip"						) or from_gh)]
						for p in paths:
												selected_warnings.update(extract_warnings_from_single_artifact(__lowercase ,      __lowercase						)						)

						return selected_warnings


if __name__ == "__main__":
				def  snake_case						(__lowercase						)	->	str:

										'''simple docstring'''



										return values.split(","						)

				__SCREAMING_SNAKE_CASE						:   List[Any]         =			argparse.ArgumentParser()
				# Required parameters
				parser.add_argument('--workflow_run_id', type=str, required=True, help='A GitHub Actions workflow run id.')
				parser.add_argument(
				    '--output_dir',
				    type=str,
				    required=True,
				    help='Where to store the downloaded artifacts and other result files.',
				)
				parser.add_argument('--token', default=None, type=str, help='A token that has actions:read permission.')
				# optional parameters
				parser.add_argument(
				    '--targets',
				    default='DeprecationWarning,UserWarning,FutureWarning',
				    type=list_str,
				    help='Comma-separated list of target warning(s) which we want to extract.',
				)
				parser.add_argument(
				    '--from_gh',
				    action='store_true',
				    help='If running from a GitHub action workflow and collecting warnings from its artifacts.',
				)

				__SCREAMING_SNAKE_CASE						:   Tuple         =			parser.parse_args()

				__SCREAMING_SNAKE_CASE						:   Tuple         =			args.from_gh
				if from_gh:
								# The artifacts have to be downloaded using `actions/download-artifact@v3`
								pass
				else:
								os.makedirs(args.output_dir, exist_ok=True)

								# get download links
								__SCREAMING_SNAKE_CASE						:   Any         =			get_artifacts_links(args.workflow_run_id, token=args.token)
								with open(os.path.join(args.output_dir, 'artifacts.json'), 'w', encoding='UTF-8') as fp:
												json.dump(artifacts, fp, ensure_ascii=False, indent=4)

								# download artifacts
								for idx, (name, url) in enumerate(artifacts.items()):
												print(name)
												print(url)
												print('=' * 8_0)
												download_artifact(name, url, args.output_dir, args.token)
												# Be gentle to GitHub
												time.sleep(1)

    # extract warnings from artifacts
				__SCREAMING_SNAKE_CASE						:   Tuple         =			extract_warnings(args.output_dir, args.targets)
				__SCREAMING_SNAKE_CASE						:   int         =			sorted(selected_warnings)
				with open(os.path.join(args.output_dir, 'selected_warnings.json'), 'w', encoding='UTF-8') as fp:
								json.dump(selected_warnings, fp, ensure_ascii=False, indent=4)
from __future__ import annotations

import requests

__SCREAMING_SNAKE_CASE						:   Tuple         =			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  snake_case						(__lowercase ,      __lowercase = 1 ,      __lowercase = "new" ,      __lowercase = None						)	->	dict:

						'''simple docstring'''



						_snake_case						:					Union[str, Any]    =   wanted_data or []
						if invalid_search_terms := ", ".join(sorted(set(__lowercase						) - valid_terms						)						):
												_snake_case						:					List[str]    =   F"""Invalid search term: {invalid_search_terms}"""
												raise ValueError(__lowercase						)
						_snake_case						:					Any    =   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

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

						_snake_case						:					Union[str, Any]    =   {}
						for id_ in range(__lowercase						):
												_snake_case						:					Dict    =   {
												    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']))