




"""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


SCREAMING_SNAKE_CASE    =	logging.get_logger(__name__)







def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		str:
 A__	=    set()
 A__	=    []

 def parse_line(lowercase_						):
  for line in fp:
   if isinstance(lowercase_      ,			lowercase_						):
    A__	=    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(lowercase_						) > 0:
     A__	=    "\n".join(lowercase_						)
     # Only keep the warnings specified in `targets`
     if any(f""": {x}: """ in warning for x in targets						):
      selected_warnings.add(lowercase_						)
     buffer.clear()
    continue
   else:
    A__	=    line.strip()
    buffer.append(lowercase_						)

 if from_gh:
  for filename in os.listdir(lowercase_						):
   A__	=    os.path.join(lowercase_      ,			lowercase_						)
   if not os.path.isdir(lowercase_						):
    # read the file
    if filename != "warnings.txt":
     continue
    with open(lowercase_						) as fp:
     parse_line(lowercase_						)
 else:
  try:
   with zipfile.ZipFile(lowercase_						) as z:
    for filename in z.namelist():
     if not os.path.isdir(lowercase_						):
      # read the file
      if filename != "warnings.txt":
       continue
      with z.open(lowercase_						) as fp:
       parse_line(lowercase_						)
  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_						)						->		List[str]:
 A__	=    set()

 A__	=    [os.path.join(lowercase_      ,			lowercase_						) for p in os.listdir(lowercase_						) if (p.endswith(".zip"						) or from_gh)]
 for p in paths:
  selected_warnings.update(extract_warnings_from_single_artifact(lowercase_      ,			lowercase_						)						)

 return selected_warnings


if __name__ == "__main__":







      def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		str:
       return values.split(","						)

      SCREAMING_SNAKE_CASE    =	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.",
      )

      SCREAMING_SNAKE_CASE    =	parser.parse_args()

      SCREAMING_SNAKE_CASE    =	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
            SCREAMING_SNAKE_CASE    =	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
      SCREAMING_SNAKE_CASE    =	extract_warnings(args.output_dir, args.targets)
      SCREAMING_SNAKE_CASE    =	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)











"""simple docstring"""



import argparse
import os

import transformers

from .convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS
from .utils import logging


logging.set_verbosity_info()

SCREAMING_SNAKE_CASE    =	logging.get_logger(__name__)


SCREAMING_SNAKE_CASE    =	{name: getattr(transformers, name + "Fast") for name in SLOW_TO_FAST_CONVERTERS}







def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_      ,			lowercase_						)						->		Any:
 if tokenizer_name is not None and tokenizer_name not in TOKENIZER_CLASSES:
  raise ValueError(f"""Unrecognized tokenizer name, should be one of {list(TOKENIZER_CLASSES.keys()						)}."""						)

 if tokenizer_name is None:
  A__	=    TOKENIZER_CLASSES
 else:
  A__	=    {tokenizer_name: getattr(lowercase_      ,			tokenizer_name + "Fast"						)}

 logger.info(f"""Loading tokenizer classes: {tokenizer_names}"""						)

 for tokenizer_name in tokenizer_names:
  A__	=    TOKENIZER_CLASSES[tokenizer_name]

  A__	=    True
  if checkpoint_name is None:
   A__	=    list(tokenizer_class.max_model_input_sizes.keys()						)
  else:
   A__	=    [checkpoint_name]

  logger.info(f"""For tokenizer {tokenizer_class.__class__.__name__} loading checkpoints: {checkpoint_names}"""						)

  for checkpoint in checkpoint_names:
   logger.info(f"""Loading {tokenizer_class.__class__.__name__} {checkpoint}"""						)

   # Load tokenizer
   A__	=    tokenizer_class.from_pretrained(lowercase_      ,			force_download=lowercase_						)

   # Save fast tokenizer
   logger.info(f"""Save fast tokenizer to {dump_path} with prefix {checkpoint} add_prefix {add_prefix}"""						)

   # For organization names we create sub-directories
   if "/" in checkpoint:
    A__,				A__	=    checkpoint.split("/"						)
    A__	=    os.path.join(lowercase_      ,			lowercase_						)
   elif add_prefix:
    A__	=    checkpoint
    A__	=    dump_path
   else:
    A__	=    None
    A__	=    dump_path

   logger.info(f"""=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}"""						)

   if checkpoint in list(tokenizer.pretrained_vocab_files_map.values()						)[0]:
    A__	=    list(tokenizer.pretrained_vocab_files_map.values()						)[0][checkpoint]
    A__	=    file_path.split(lowercase_						)[-1][0]
    if next_char == "/":
     A__	=    os.path.join(lowercase_      ,			lowercase_						)
     A__	=    None

    logger.info(f"""=> {dump_path_full} with prefix {checkpoint_prefix_name}, add_prefix {add_prefix}"""						)

   A__	=    tokenizer.save_pretrained(
       lowercase_      ,			legacy_format=lowercase_      ,			filename_prefix=lowercase_						)
   logger.info(f"""=> File names {file_names}"""						)

   for file_name in file_names:
    if not file_name.endswith("tokenizer.json"						):
     os.remove(lowercase_						)
     logger.info(f"""=> removing {file_name}"""						)


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE    =	argparse.ArgumentParser()
      # Required parameters
      parser.add_argument(
          "--dump_path", default=None, type=str, required=True, help="Path to output generated fast tokenizer files."
      )
      parser.add_argument(
          "--tokenizer_name",
          default=None,
          type=str,
          help=(
              f'Optional tokenizer type selected in the list of {list(TOKENIZER_CLASSES.keys())}. If not given, will '
              "download and convert all the checkpoints from AWS."
          ),
      )
      parser.add_argument(
          "--checkpoint_name",
          default=None,
          type=str,
          help="Optional checkpoint name. If not given, will download and convert the canonical checkpoints from AWS.",
      )
      parser.add_argument(
          "--force_download",
          action="store_true",
          help="Re-download checkpoints.",
      )
      SCREAMING_SNAKE_CASE    =	parser.parse_args()

      convert_slow_checkpoint_to_fast(args.tokenizer_name, args.checkpoint_name, args.dump_path, args.force_download)





