





import os
from shutil import copyfile
from typing import List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase    =					logging.get_logger(__name__)

UpperCAmelCase    =					{"""vocab_file""": """sentencepiece.model"""}

UpperCAmelCase    =					{
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
}

UpperCAmelCase    =					{
    """google/rembert""": 256,
}







class lowerCAmelCase_		(				__SCREAMING_SNAKE_CASE ):

 '''simple docstring'''

 __snake_case				=						VOCAB_FILES_NAMES
 __snake_case				=						PRETRAINED_VOCAB_FILES_MAP
 __snake_case				=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



 def __init__(			self	,   _UpperCAmelCase	,   _UpperCAmelCase=False	,   _UpperCAmelCase=True	,   _UpperCAmelCase=True	,   _UpperCAmelCase="[CLS]"	,   _UpperCAmelCase="[SEP]"	,   _UpperCAmelCase="[UNK]"	,   _UpperCAmelCase="[SEP]"	,   _UpperCAmelCase="[PAD]"	,   _UpperCAmelCase="[CLS]"	,   _UpperCAmelCase="[MASK]"	,   **_UpperCAmelCase	,   ):
       super().__init__(
           do_lower_case=__snake_case	,   remove_space=__snake_case	,   keep_accents=__snake_case	,   bos_token=__snake_case	,   eos_token=__snake_case	,   unk_token=__snake_case	,   sep_token=__snake_case	,   pad_token=__snake_case	,   cls_token=__snake_case	,   mask_token=__snake_case	,   **__snake_case	,   )

       snake_case_ =   do_lower_case
       snake_case_ =   remove_space
       snake_case_ =   keep_accents
       snake_case_ =   vocab_file

       snake_case_ =   spm.SentencePieceProcessor()
       self.sp_model.Load(__snake_case      )



 @property
 def 		UpperCamelCase__  (			self      ):
       return len(self.sp_model      )



 def 		UpperCamelCase__  (			self      ):
       snake_case_ =   {self.convert_ids_to_tokens(__snake_case      ): i for i in range(self.vocab_size      )}
       vocab.update(self.added_tokens_encoder      )
       return vocab



 def __getstate__(			self      ):
       snake_case_ =   self.__dict__.copy()
       snake_case_ =   None
       return state



 def __setstate__(			self	,   _UpperCAmelCase      ):
       snake_case_ =   d
       snake_case_ =   spm.SentencePieceProcessor()
       self.sp_model.Load(self.vocab_file      )



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase	,   _UpperCAmelCase=False      ):
       snake_case_ =   self.sp_model.EncodeAsPieces(__snake_case      )
       return pieces



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase      ):
       return self.sp_model.PieceToId(__snake_case      )



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase      ):
       return self.sp_model.IdToPiece(__snake_case      )



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase      ):
       snake_case_ =   self.sp_model.decode_pieces(__snake_case      )
       return out_string



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase	,   _UpperCAmelCase = None      ):
       snake_case_ =   [self.sep_token_id]
       snake_case_ =   [self.cls_token_id]
       if token_ids_a is None:
             return cls + token_ids_a + sep
       return cls + token_ids_a + sep + token_ids_a + sep



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase	,   _UpperCAmelCase = None	,   _UpperCAmelCase = False      ):

       if already_has_special_tokens:
             if token_ids_a is not None:
                   raise ValueError(
                       '''You should not supply a second sequence if the provided sequence of '''
                       '''ids is already formatted with special tokens for the model.'''      )
             return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

       if token_ids_a is not None:
             return [1] + ([0] * len(__snake_case      )) + [1] + ([0] * len(__snake_case      )) + [1]
       return [1] + ([0] * len(__snake_case      )) + [1]



 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase	,   _UpperCAmelCase = None      ):
       snake_case_ =   [self.sep_token_id]
       snake_case_ =   [self.cls_token_id]

       if token_ids_a is None:
             return len(cls + token_ids_a + sep      ) * [0]
       return len(cls + token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1]





 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase	,   _UpperCAmelCase = None      ):
       if not os.path.isdir(__snake_case      ):
             logger.error('''Vocabulary path ({}) should be a directory'''.format(__snake_case      )      )
             return
       snake_case_ =   os.path.join(
           __snake_case	,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )

       if os.path.abspath(self.vocab_file      ) != os.path.abspath(__snake_case      ):
             copyfile(self.vocab_file	,   __snake_case      )

       return (out_vocab_file,)



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


UpperCAmelCase    =					logging.get_logger(__name__)






def  __lowerCAmelCase					(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      )->						List[str]:




      """simple docstring"""

      snake_case_ =   set()
      snake_case_ =   []

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

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




      """simple docstring"""

      snake_case_ =   set()

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

      return selected_warnings


if __name__ == "__main__":






   def  __lowerCAmelCase					(SCREAMING_SNAKE_CASE      )->						List[str]:




         """simple docstring"""

         return values.split(''','''      )

   UpperCAmelCase    =					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.""",
   )

   UpperCAmelCase    =					parser.parse_args()

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