




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	:	str				=   logging.get_logger(__name__)
def 						SCREAMING_SNAKE_CASE__ (   lowercase						,lowercase					)  ->       Dict:
   snake_case				:    str           =	set()
   snake_case				:    Tuple           =	[]

   def parse_line(lowercase					):
      for line in fp:
         if isinstance(lowerCAmelCase__						,lowerCAmelCase__					):
            snake_case				:    Union[str, 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:
               snake_case				:    Optional[int]           =	"""\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:
            snake_case				:    List[Any]           =	line.strip()
            buffer.append(lowerCAmelCase__					)

   if from_gh:
      for filename in os.listdir(lowerCAmelCase__					):
         snake_case				:    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__ (   lowercase						,lowercase					)  ->       Optional[int]:
   snake_case				:    Tuple           =	set()

   snake_case				:    List[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__ (   lowercase					)  ->       int:
          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	:	List[Any]				=   parser.parse_args()

       lowerCamelCase	:	List[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
              lowerCamelCase	:	Tuple				=   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
       lowerCamelCase	:	Optional[int]				=   extract_warnings(args.output_dir, args.targets)
       lowerCamelCase	:	Optional[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 .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments





