



"""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:   Tuple								=		logging.get_logger(__name__)

def       _snake_case						(						UpperCamelCase						:		Dict			,		UpperCamelCase						:		Dict						):
 UpperCAmelCase	:					Tuple	=	set()
 UpperCAmelCase	:					Optional[Any]	=	[]

 def parse_line(UpperCamelCase						:		Optional[Any]						):
  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	:					Union[str, Any]	=	"""\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	:					Optional[int]	=	line.strip()
    buffer.append(lowerCAmelCase_						)

 if from_gh:
  for filename in os.listdir(lowerCAmelCase_						):
   UpperCAmelCase	:					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       _snake_case						(						UpperCamelCase						:		Tuple			,		UpperCamelCase						:		Dict						):
 UpperCAmelCase	:					Optional[int]	=	set()

 UpperCAmelCase	:					str	=	[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       _snake_case						(						UpperCamelCase						:		Dict						):
       return values.split(""","""						)

      A:   Optional[int]								=		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:   int								=		parser.parse_args()

      A:   List[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:   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("=" * 8_0)
                  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:   int								=		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


_snake_case  :    List[Any]						    =  logging.get_logger(__name__)

_snake_case  :    List[Any]						    =  {
    'microsoft/beit-base-patch16-224-pt22k': (
        'https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}



class 				_UpperCAmelCase    (    _UpperCamelCase    ):

  """simple docstring"""


  a_        = """beit"""






  def __init__(				self :		List[Any]					,  lowerCAmelCase_ :		Tuple=8_1_9_2					,  lowerCAmelCase_ :		Optional[int]=7_6_8					,  lowerCAmelCase_ :		int=1_2					,  lowerCAmelCase_ :		Optional[int]=1_2					,  lowerCAmelCase_ :		Any=3_0_7_2					,  lowerCAmelCase_ :		Optional[int]="gelu"					,  lowerCAmelCase_ :		Any=0.0					,  lowerCAmelCase_ :		Any=0.0					,  lowerCAmelCase_ :		Any=0.02					,  lowerCAmelCase_ :		int=1e-12					,  lowerCAmelCase_ :		int=2_2_4					,  lowerCAmelCase_ :		str=1_6					,  lowerCAmelCase_ :		int=3					,  lowerCAmelCase_ :		Dict=False					,  lowerCAmelCase_ :		int=False					,  lowerCAmelCase_ :		List[Any]=False					,  lowerCAmelCase_ :		int=False					,  lowerCAmelCase_ :		List[str]=0.1					,  lowerCAmelCase_ :		Union[str, Any]=0.1					,  lowerCAmelCase_ :		List[str]=True					,  lowerCAmelCase_ :		List[Any]=[3, 5, 7, 1_1]					,  lowerCAmelCase_ :		Optional[Any]=[1, 2, 3, 6]					,  lowerCAmelCase_ :		Tuple=True					,  lowerCAmelCase_ :		Dict=0.4					,  lowerCAmelCase_ :		Tuple=2_5_6					,  lowerCAmelCase_ :		Any=1					,  lowerCAmelCase_ :		Any=False					,  lowerCAmelCase_ :		Optional[int]=2_5_5					,  **lowerCAmelCase_ :		Any					,  )							->						Dict:
     super().__init__(**lowerCAmelCase_     )

     __lowerCAmelCase								=	vocab_size
     __lowerCAmelCase								=	hidden_size
     __lowerCAmelCase								=	num_hidden_layers
     __lowerCAmelCase								=	num_attention_heads
     __lowerCAmelCase								=	intermediate_size
     __lowerCAmelCase								=	hidden_act
     __lowerCAmelCase								=	hidden_dropout_prob
     __lowerCAmelCase								=	attention_probs_dropout_prob
     __lowerCAmelCase								=	initializer_range
     __lowerCAmelCase								=	layer_norm_eps

     __lowerCAmelCase								=	image_size
     __lowerCAmelCase								=	patch_size
     __lowerCAmelCase								=	num_channels
     __lowerCAmelCase								=	use_mask_token
     __lowerCAmelCase								=	use_absolute_position_embeddings
     __lowerCAmelCase								=	use_relative_position_bias
     __lowerCAmelCase								=	use_shared_relative_position_bias
     __lowerCAmelCase								=	layer_scale_init_value
     __lowerCAmelCase								=	drop_path_rate
     __lowerCAmelCase								=	use_mean_pooling
     # decode head attributes (semantic segmentation)
     __lowerCAmelCase								=	out_indices
     __lowerCAmelCase								=	pool_scales
     # auxiliary head attributes (semantic segmentation)
     __lowerCAmelCase								=	use_auxiliary_head
     __lowerCAmelCase								=	auxiliary_loss_weight
     __lowerCAmelCase								=	auxiliary_channels
     __lowerCAmelCase								=	auxiliary_num_convs
     __lowerCAmelCase								=	auxiliary_concat_input
     __lowerCAmelCase								=	semantic_loss_ignore_index





class 				_UpperCAmelCase    (    _UpperCamelCase    ):

  """simple docstring"""


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






  @property
  def 				lowercase		(				self :		Tuple     )							->						Mapping[str, Mapping[int, str]]:
     return OrderedDict(
         [
             ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
         ]     )






  @property
  def 				lowercase		(				self :		Optional[Any]     )							->						float:
     return 1e-4

