





'''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:					List[str]							=				logging.get_logger(__name__)







def _lowerCAmelCase     (      _lowerCAmelCase       ,    _lowerCAmelCase    )->     str:
 __UpperCAmelCase					=   set()
 __UpperCAmelCase					=   []

 def parse_line(_lowerCAmelCase    ):
  for line in fp:
   if isinstance(_lowerCAmelCase       ,    _lowerCAmelCase    ):
    __UpperCAmelCase					=   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(_lowerCAmelCase    ) > 0:
     __UpperCAmelCase					=   '\n'.join(_lowerCAmelCase    )
     # Only keep the warnings specified in `targets`
     if any(F': {x}: ' in warning for x in targets    ):
      selected_warnings.add(_lowerCAmelCase    )
     buffer.clear()
    continue
   else:
    __UpperCAmelCase					=   line.strip()
    buffer.append(_lowerCAmelCase    )

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

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

 return selected_warnings


if __name__ == "__main__":







    def _lowerCAmelCase     (      _lowerCAmelCase    )->     Tuple:
     return values.split(','    )

    _A:					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:					Optional[Any]							=				parser.parse_args()

    _A:					str							=				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("""=""" * 80)
            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:					List[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'''




from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A:					Union[str, Any]							=				logging.get_logger(__name__)

_A:					List[str]							=				{
    """weiweishi/roc-bert-base-zh""": """https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json""",
}






class UpperCAmelCase							(		UpperCAmelCase_							):
    _A :			int						   =       """roc_bert"""



    def __init__(  self     ,			__A=30_522     ,			__A=768     ,			__A=12     ,			__A=12     ,			__A=3_072     ,			__A="gelu"     ,			__A=0.1     ,			__A=0.1     ,			__A=512     ,			__A=2     ,			__A=0.0_2     ,			__A=1E-12     ,			__A=True     ,			__A=0     ,			__A="absolute"     ,			__A=None     ,			__A=True     ,			__A=True     ,			__A=768     ,			__A=910     ,			__A=512     ,			__A=24_858     ,			__A=True     ,			**__A     ,			):
     __UpperCAmelCase					=   vocab_size
     __UpperCAmelCase					=   max_position_embeddings
     __UpperCAmelCase					=   hidden_size
     __UpperCAmelCase					=   num_hidden_layers
     __UpperCAmelCase					=   num_attention_heads
     __UpperCAmelCase					=   intermediate_size
     __UpperCAmelCase					=   hidden_act
     __UpperCAmelCase					=   hidden_dropout_prob
     __UpperCAmelCase					=   attention_probs_dropout_prob
     __UpperCAmelCase					=   initializer_range
     __UpperCAmelCase					=   type_vocab_size
     __UpperCAmelCase					=   layer_norm_eps
     __UpperCAmelCase					=   use_cache
     __UpperCAmelCase					=   enable_pronunciation
     __UpperCAmelCase					=   enable_shape
     __UpperCAmelCase					=   pronunciation_embed_dim
     __UpperCAmelCase					=   pronunciation_vocab_size
     __UpperCAmelCase					=   shape_embed_dim
     __UpperCAmelCase					=   shape_vocab_size
     __UpperCAmelCase					=   concat_input
     __UpperCAmelCase					=   position_embedding_type
     __UpperCAmelCase					=   classifier_dropout
     super().__init__(pad_token_id=__A     ,			**__A					)





