






'''simple docstring'''

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


A:      str  				=				logging.get_logger(__name__)






def 	_UpperCAmelCase    (  a		:	List[str]						,			a		:	List[str]							)			->			Optional[int]:





						"""simple docstring"""
						lowercase_      :   int        =			set()
						lowercase_      :   int        =			[]

						def parse_line(a		:	Tuple							):
												for line in fp:
																		if isinstance(a						,			a							):
																								lowercase_      :   Dict        =			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(a							) > 0:
																														lowercase_      :   Optional[Any]        =			'\n'.join(a							)
																														# Only keep the warnings specified in `targets`
																														if any(f": {x}: " in warning for x in targets							):
																																				selected_warnings.add(a							)
																														buffer.clear()
																								continue
																		else:
																								lowercase_      :   Optional[int]        =			line.strip()
																								buffer.append(a							)

						if from_gh:
												for filename in os.listdir(a							):
																		lowercase_      :   Dict        =			os.path.join(a						,			a							)
																		if not os.path.isdir(a							):
																								# read the file
																								if filename != "warnings.txt":
																														continue
																								with open(a							) as fp:
																														parse_line(a							)
						else:
												try:
																		with zipfile.ZipFile(a							) as z:
																								for filename in z.namelist():
																														if not os.path.isdir(a							):
																																				# read the file
																																				if filename != "warnings.txt":
																																										continue
																																				with z.open(a							) as fp:
																																										parse_line(a							)
												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 	_UpperCAmelCase    (  a		:	str						,			a		:	int							)			->			Dict:





						"""simple docstring"""
						lowercase_      :   int        =			set()

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

						return selected_warnings


if __name__ == "__main__":






						def 	_UpperCAmelCase    (  a		:	List[Any]							)			->			Optional[Any]:





												"""simple docstring"""
												return values.split(','							)

						A:      Union[str, 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.",
						)

						A:      Dict  				=				parser.parse_args()

						A:      Optional[Any]  				=				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
												A:      Dict  				=				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
						A:      Optional[Any]  				=				extract_warnings(args.output_dir, args.targets)
						A:      Any  				=				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)








'''simple docstring'''

def 	_UpperCAmelCase    (  a		:	list[list[float]]							)			->			list[list[float]]:





						"""simple docstring"""
						lowercase_      :   list[list[float]]        =			[]
						for data in source_data:
												for i, el in enumerate(a							):
																		if len(a							) < i + 1:
																								data_lists.append([]							)
																		data_lists[i].append(float(a							)							)
						return data_lists






def 	_UpperCAmelCase    (  a		:	list[list[float]]						,			a		:	list[int]							)			->			list[list[float]]:





						"""simple docstring"""
						lowercase_      :   list[list[float]]        =			[]
						for dlist, weight in zip(a						,			a							):
												lowercase_      :   Tuple        =			min(a							)
												lowercase_      :   Any        =			max(a							)

												lowercase_      :   list[float]        =			[]
												# for weight 0 score is 1 - actual score
												if weight == 0:
																		for item in dlist:
																								try:
																														score.append(1 - ((item - mind) / (maxd - mind))							)
																								except ZeroDivisionError:
																														score.append(1							)

												elif weight == 1:
																		for item in dlist:
																								try:
																														score.append((item - mind) / (maxd - mind)							)
																								except ZeroDivisionError:
																														score.append(0							)

        # weight not 0 or 1
												else:
																		lowercase_      :   str        =			f"Invalid weight of {weight:f} provided"
																		raise ValueError(a							)

												score_lists.append(a							)

						return score_lists






def 	_UpperCAmelCase    (  a		:	list[list[float]]							)			->			list[float]:





						"""simple docstring"""
						lowercase_      :   list[float]        =			[0 for i in range(len(score_lists[0]							)							)]

						for slist in score_lists:
												for j, ele in enumerate(a							):
																		lowercase_      :   List[Any]        =			final_scores[j] + ele

						return final_scores






def 	_UpperCAmelCase    (  a		:	list[list[float]]						,			a		:	list[int]							)			->			list[list[float]]:





						"""simple docstring"""
						lowercase_      :   int        =			get_data(a							)
						lowercase_      :   Optional[int]        =			calculate_each_score(a						,			a							)
						lowercase_      :   Dict        =			generate_final_scores(a							)

						# append scores to source data
						for i, ele in enumerate(a							):
												source_data[i].append(a							)

						return source_data
