






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     :							Tuple    =logging.get_logger(__name__)







def 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase ,   __lowerCAmelCase      )			->     Optional[int]:
     UpperCamelCase__      :       str	    =  set()
     UpperCamelCase__      :       List[str]	    =  []

     def parse_line(__lowerCAmelCase      ):
          for line in fp:
               if isinstance(__lowerCAmelCase ,   __lowerCAmelCase      ):
                    UpperCamelCase__      :       Optional[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(__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__      :       Union[str, Any]	    =  line.strip()
                    buffer.append(__lowerCAmelCase      )

     if from_gh:
          for filename in os.listdir(__lowerCAmelCase      ):
               UpperCamelCase__      :       List[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 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase ,   __lowerCAmelCase      )			->     Any:
     UpperCamelCase__      :       Optional[int]	    =  set()

     UpperCamelCase__      :       Any	    =  [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 		SCREAMING_SNAKE_CASE							( __lowerCAmelCase      )			->     Union[str, Any]:
      return values.split(","      )

 lowerCamelCase     :							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.''',
 )

 lowerCamelCase     :							Union[str, Any]    =parser.parse_args()

 lowerCamelCase     :							Optional[int]    =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     :							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
 lowerCamelCase     :							Union[str, Any]    =extract_warnings(args.output_dir, args.targets)
 lowerCamelCase     :							Dict    =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 dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate





@dataclass(frozen=A__	)
class       __a  (   A__	):
 _lowerCAmelCase	:	str				=			field(default='''language-modeling'''	,       metadata={'''include_in_asdict_even_if_is_default''': True}	)

 _lowerCAmelCase	:	ClassVar[Features]				=			Features({'''text''': Value('''string'''	)}	)
 _lowerCAmelCase	:	ClassVar[Features]				=			Features({}	)
 _lowerCAmelCase	:	str				=			"text"







 @property
 def  __lowercase (		self :       str						):


      '''simple docstring'''






      return {self.text_column: "text"}