





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



def 				lowerCAmelCase_ (							A_    ,A_):
    UpperCamelCase__:	int					=     set()
    UpperCamelCase__:	Optional[int]					=     []

    def parse_line(A_):
        for line in fp:
            if isinstance(A_    ,A_):
                UpperCamelCase__:	int					=     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:
                    UpperCamelCase__:	int					=     "\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:
                UpperCamelCase__:	Optional[Any]					=     line.strip()
                buffer.append(A_)

    if from_gh:
        for filename in os.listdir(A_):
            UpperCamelCase__:	Any					=     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 				lowerCAmelCase_ (							A_    ,A_):
    UpperCamelCase__:	Union[str, Any]					=     set()

    UpperCamelCase__:	Dict					=     [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 				lowerCAmelCase_ (							A_):
       return values.split(",")

   A__:    Dict  	=	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__:    Any  	=	parser.parse_args()

   A__:    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
      A__:    Optional[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
   A__:    str  	=	extract_warnings(args.output_dir, args.targets)
   A__:    Optional[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 collections import OrderedDict
from typing import Mapping

from packaging import version

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


A__:    Tuple  	=	logging.get_logger(__name__)

A__:    List[Any]  	=	{
    '''microsoft/swin-tiny-patch4-window7-224''': (
        '''https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json'''
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}




class        _a    (    UpperCamelCase__						,			UpperCamelCase__):

      """simple docstring"""


      UpperCamelCase__  		=       """swin"""

      UpperCamelCase__  		=       {
          """num_attention_heads""": """num_heads""",
          """num_hidden_layers""": """num_layers""",
      }






      def __init__(		self:			Any	,    __lowerCamelCase:			Optional[Any]=224	,    __lowerCamelCase:			List[Any]=4	,    __lowerCamelCase:			Any=3	,    __lowerCamelCase:			Dict=96	,    __lowerCamelCase:			List[str]=[2, 2, 6, 2]	,    __lowerCamelCase:			int=[3, 6, 12, 24]	,    __lowerCamelCase:			str=7	,    __lowerCamelCase:			Union[str, Any]=4.0	,    __lowerCamelCase:			Union[str, Any]=True	,    __lowerCamelCase:			List[str]=0.0	,    __lowerCamelCase:			Union[str, Any]=0.0	,    __lowerCamelCase:			List[str]=0.1	,    __lowerCamelCase:			Union[str, Any]="gelu"	,    __lowerCamelCase:			List[str]=False	,    __lowerCamelCase:			Any=0.02	,    __lowerCamelCase:			Any=1e-5	,    __lowerCamelCase:			Optional[Any]=32	,    __lowerCamelCase:			Tuple=None	,    __lowerCamelCase:			int=None	,    **__lowerCamelCase:			int	,    ):
          '''simple docstring'''


          super().__init__(**__lowerCamelCase					)

          UpperCamelCase__:	List[Any]					=     image_size
          UpperCamelCase__:	str					=     patch_size
          UpperCamelCase__:	Optional[int]					=     num_channels
          UpperCamelCase__:	Dict					=     embed_dim
          UpperCamelCase__:	int					=     depths
          UpperCamelCase__:	List[str]					=     len(__lowerCamelCase					)
          UpperCamelCase__:	List[Any]					=     num_heads
          UpperCamelCase__:	Union[str, Any]					=     window_size
          UpperCamelCase__:	Dict					=     mlp_ratio
          UpperCamelCase__:	List[Any]					=     qkv_bias
          UpperCamelCase__:	Union[str, Any]					=     hidden_dropout_prob
          UpperCamelCase__:	int					=     attention_probs_dropout_prob
          UpperCamelCase__:	str					=     drop_path_rate
          UpperCamelCase__:	str					=     hidden_act
          UpperCamelCase__:	Any					=     use_absolute_embeddings
          UpperCamelCase__:	Union[str, Any]					=     layer_norm_eps
          UpperCamelCase__:	Tuple					=     initializer_range
          UpperCamelCase__:	Tuple					=     encoder_stride
          # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
          # this indicates the channel dimension after the last stage of the model
          UpperCamelCase__:	Any					=     int(embed_dim * 2 ** (len(__lowerCamelCase					) - 1)					)
          UpperCamelCase__:	str					=     ["stem"] + [F"stage{idx}" for idx in range(1	,    len(__lowerCamelCase					) + 1					)]
          UpperCamelCase__				, UpperCamelCase__:	List[str]					=     get_aligned_output_features_output_indices(
              out_features=__lowerCamelCase	,    out_indices=__lowerCamelCase	,    stage_names=self.stage_names					)




class        _a    (    UpperCamelCase__):

      """simple docstring"""


      UpperCamelCase__  		=       version.parse("""1.11""")






      @property
      def 			UpperCAmelCase_       (		self:			List[Any]					):
          '''simple docstring'''


          return OrderedDict(
              [
                  ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
              ]					)






      @property
      def 			UpperCAmelCase_       (		self:			Union[str, Any]					):
          '''simple docstring'''


          return 1e-4

