





'''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


snake_case_			:     Optional[Any]  	=  logging.get_logger(__name__)






def A__   (					UpperCAmelCase_  ,  UpperCAmelCase_							):
						_UpperCamelCase :		Union[str, Any]			    =       set()
						_UpperCamelCase :		Union[str, Any]			    =       []

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

						if from_gh:
												for filename in os.listdir(UpperCAmelCase_							):
																		_UpperCamelCase :		Any			    =       os.path.join(UpperCAmelCase_  ,  UpperCAmelCase_							)
																		if not os.path.isdir(UpperCAmelCase_							):
																								# read the file
																								if filename != "warnings.txt":
																														continue
																								with open(UpperCAmelCase_							) as fp:
																														parse_line(UpperCAmelCase_							)
						else:
												try:
																		with zipfile.ZipFile(UpperCAmelCase_							) as z:
																								for filename in z.namelist():
																														if not os.path.isdir(UpperCAmelCase_							):
																																				# read the file
																																				if filename != "warnings.txt":
																																										continue
																																				with z.open(UpperCAmelCase_							) as fp:
																																										parse_line(UpperCAmelCase_							)
												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 A__   (					UpperCAmelCase_  ,  UpperCAmelCase_							):
						_UpperCamelCase :		Union[str, Any]			    =       set()

						_UpperCamelCase :		int			    =       [os.path.join(UpperCAmelCase_  ,  UpperCAmelCase_							) for p in os.listdir(UpperCAmelCase_							) if (p.endswith('.zip'							) or from_gh)]
						for p in paths:
												selected_warnings.update(extract_warnings_from_single_artifact(UpperCAmelCase_  ,  UpperCAmelCase_							)							)

						return selected_warnings


if __name__ == "__main__":






					def A__   (					UpperCAmelCase_							):
											return values.split(','							)

					snake_case_			:     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.',
					)

					snake_case_			:     List[str]  	=  parser.parse_args()

					snake_case_			:     Union[str, 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
										snake_case_			:     List[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('=' * 80)
															download_artifact(name, url, args.output_dir, args.token)
															# Be gentle to GitHub
															time.sleep(1)

    # extract warnings from artifacts
					snake_case_			:     List[str]  	=  extract_warnings(args.output_dir, args.targets)
					snake_case_			:     Tuple  	=  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'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


snake_case_			:     Optional[int]  	=  {
    'configuration_mask2former': [
        'MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Mask2FormerConfig',
    ],
}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case_			:     int  	=  ['Mask2FormerImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case_			:     List[Any]  	=  [
					    'MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'Mask2FormerForUniversalSegmentation',
					    'Mask2FormerModel',
					    'Mask2FormerPreTrainedModel',
					]

if TYPE_CHECKING:
					from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .image_processing_maskaformer import MaskaFormerImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_maskaformer import (
										    MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MaskaFormerForUniversalSegmentation,
										    MaskaFormerModel,
										    MaskaFormerPreTrainedModel,
										)


else:
					import sys

					snake_case_			:     Dict  	=  _LazyModule(__name__, globals()['__file__'], _import_structure)


