



'''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 collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


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

snake_case_			:     List[Any]  	=  {
    'facebook/xlm-roberta-xl': 'https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json',
    'facebook/xlm-roberta-xxl': 'https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json',
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}






class 							lowercase__     (							lowercase       ):
	lowercase__      =      """xlm-roberta-xl"""





	def __init__(			self :    Optional[int]			,lowerCamelCase__ :    Optional[Any]=250880			,lowerCamelCase__ :    Tuple=2560			,lowerCamelCase__ :    Union[str, Any]=36			,lowerCamelCase__ :    List[str]=32			,lowerCamelCase__ :    Optional[Any]=10240			,lowerCamelCase__ :    Tuple="gelu"			,lowerCamelCase__ :    int=0.1			,lowerCamelCase__ :    int=0.1			,lowerCamelCase__ :    Optional[int]=514			,lowerCamelCase__ :    List[str]=1			,lowerCamelCase__ :    Dict=0.0_2			,lowerCamelCase__ :    Any=1E-05			,lowerCamelCase__ :    Union[str, Any]=1			,lowerCamelCase__ :    str=0			,lowerCamelCase__ :    Tuple=2			,lowerCamelCase__ :    Union[str, Any]="absolute"			,lowerCamelCase__ :    Optional[Any]=True			,lowerCamelCase__ :    List[str]=None			,**lowerCamelCase__ :    Dict			,):







							'''simple docstring'''
							super().__init__(pad_token_id=lowerCamelCase__			,bos_token_id=lowerCamelCase__			,eos_token_id=lowerCamelCase__			,**lowerCamelCase__			)
							_UpperCamelCase :		Optional[int]			    =       vocab_size
							_UpperCamelCase :		Optional[Any]			    =       hidden_size
							_UpperCamelCase :		str			    =       num_hidden_layers
							_UpperCamelCase :		str			    =       num_attention_heads
							_UpperCamelCase :		Any			    =       hidden_act
							_UpperCamelCase :		Dict			    =       intermediate_size
							_UpperCamelCase :		Optional[int]			    =       hidden_dropout_prob
							_UpperCamelCase :		Any			    =       attention_probs_dropout_prob
							_UpperCamelCase :		List[Any]			    =       max_position_embeddings
							_UpperCamelCase :		str			    =       type_vocab_size
							_UpperCamelCase :		Optional[Any]			    =       initializer_range
							_UpperCamelCase :		Optional[int]			    =       layer_norm_eps
							_UpperCamelCase :		Optional[int]			    =       position_embedding_type
							_UpperCamelCase :		Optional[Any]			    =       use_cache
							_UpperCamelCase :		Optional[Any]			    =       classifier_dropout






class 							lowercase__     (							lowercase       ):





	@property
	def      UpperCamelCase_  (			self :    List[Any]			):







							'''simple docstring'''
							if self.task == "multiple-choice":
													_UpperCamelCase :		Union[str, Any]			    =       {0: 'batch', 1: 'choice', 2: 'sequence'}
							else:
													_UpperCamelCase :		Optional[Any]			    =       {0: 'batch', 1: 'sequence'}
							return OrderedDict(
							    [
							        ('input_ids', dynamic_axis),
							        ('attention_mask', dynamic_axis),
							    ]			)


