





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


__lowerCamelCase       :     int   =     logging.get_logger(__name__)



def 		A_				(     _lowerCAmelCase							,   _lowerCAmelCase     )						-> Any:
 UpperCamelCase	:					Any       	=   set()
 UpperCamelCase	:					Union[str, Any]       	=   []

 def parse_line(_lowerCAmelCase     ):
  for line in fp:
   if isinstance(_lowerCAmelCase							,   _lowerCAmelCase     ):
    UpperCamelCase	:					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(_lowerCAmelCase     ) > 0:
     UpperCamelCase	:					Dict       	=   "\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	:					List[Any]       	=   line.strip()
    buffer.append(_lowerCAmelCase     )

 if from_gh:
  for filename in os.listdir(_lowerCAmelCase     ):
   UpperCamelCase	:					Optional[Any]       	=   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 		A_				(     _lowerCAmelCase							,   _lowerCAmelCase     )						-> Dict:
 UpperCamelCase	:					List[str]       	=   set()

 UpperCamelCase	:					Dict       	=   [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 		A_				(     _lowerCAmelCase     )						-> Tuple:
     return values.split(","     )

    __lowerCamelCase       :     List[str]   =     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.""",
    )

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

    __lowerCamelCase       :     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
        __lowerCamelCase       :     Optional[int]   =     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
    __lowerCamelCase       :     Any   =     extract_warnings(args.output_dir, args.targets)
    __lowerCamelCase       :     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)







from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__lowerCamelCase       :     str   =     logging.get_logger(__name__)

__lowerCamelCase       :     str   =     {
    """facebook/convnextv2-tiny-1k-224""": """https://huggingface.co/facebook/convnextv2-tiny-1k-224/resolve/main/config.json""",
}



class 					A__   (       __snake_case       ,   __snake_case			):
      _UpperCAmelCase	:Optional[int]						    =   'convnextv2'





      def __init__( self       ,							A_=3       ,							A_=4       ,							A_=4       ,							A_=None       ,							A_=None       ,							A_="gelu"       ,							A_=0.02       ,							A_=1e-12       ,							A_=0.0       ,							A_=224       ,							A_=None       ,							A_=None       ,							**A_       ,							):
       '''simple docstring'''




       super().__init__(**A_   )

       UpperCamelCase	:					Dict       	=   num_channels
       UpperCamelCase	:					Union[str, Any]       	=   patch_size
       UpperCamelCase	:					Union[str, Any]       	=   num_stages
       UpperCamelCase	:					List[Any]       	=   [96, 192, 384, 768] if hidden_sizes is None else hidden_sizes
       UpperCamelCase	:					List[str]       	=   [3, 3, 9, 3] if depths is None else depths
       UpperCamelCase	:					Dict       	=   hidden_act
       UpperCamelCase	:					Union[str, Any]       	=   initializer_range
       UpperCamelCase	:					Tuple       	=   layer_norm_eps
       UpperCamelCase	:					str       	=   drop_path_rate
       UpperCamelCase	:					List[str]       	=   image_size
       UpperCamelCase	:					List[str]       	=   ["stem"] + [F"""stage{idx}""" for idx in range(1       ,							len(self.depths   ) + 1   )]
       UpperCamelCase	,    UpperCamelCase	:					str       	=   get_aligned_output_features_output_indices(
           out_features=A_       ,							out_indices=A_       ,							stage_names=self.stage_names   )
