
'''simple docstring'''
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_xlnet import XLNetTokenizer
else:
     A__   :		int 		=None


A__   :		Dict 		=logging.get_logger(__name__)

A__   :		List[Any] 		={'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

A__   :		Optional[int] 		={
    'vocab_file': {
        'xlnet-base-cased': 'https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model',
        'xlnet-large-cased': 'https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'xlnet-base-cased': 'https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json',
        'xlnet-large-cased': 'https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json',
    },
}

A__   :		List[str] 		={
    'xlnet-base-cased': None,
    'xlnet-large-cased': None,
}

A__   :		Union[str, Any] 		='▁'

# Segments (not really needed)
A__   :		List[str] 		=0
A__   :		List[Any] 		=1
A__   :		List[Any] 		=2
A__   :		Union[str, Any] 		=3
A__   :		Any 		=4







class  __A				( _SCREAMING_SNAKE_CASE			):
 lowerCamelCase				       =VOCAB_FILES_NAMES
 lowerCamelCase				       =PRETRAINED_VOCAB_FILES_MAP
 lowerCamelCase				       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCamelCase				       ='''left'''
 lowerCamelCase				       =XLNetTokenizer
 def __init__(   self			:    str				,   lowerCamelCase			:    List[str]=None				,   lowerCamelCase			:    int=None				,   lowerCamelCase			:    int=False				,   lowerCamelCase			:    Any=True				,   lowerCamelCase			:    List[Any]=False				,   lowerCamelCase			:    Union[str, Any]="<s>"				,   lowerCamelCase			:    str="</s>"				,   lowerCamelCase			:    Optional[Any]="<unk>"				,   lowerCamelCase			:    Union[str, Any]="<sep>"				,   lowerCamelCase			:    str="<pad>"				,   lowerCamelCase			:    Tuple="<cls>"				,   lowerCamelCase			:    Optional[Any]="<mask>"				,   lowerCamelCase			:    Optional[int]=["<eop>", "<eod>"]				,   **lowerCamelCase			:    Dict				,   ):



   """simple docstring"""





   __A		:     Optional[Any]												=		AddedToken(lowerCamelCase				,   lstrip=lowerCamelCase				,   rstrip=lowerCamelCase       ) if isinstance(lowerCamelCase				,   lowerCamelCase       ) else mask_token

   super().__init__(
       vocab_file=lowerCamelCase				,   tokenizer_file=lowerCamelCase				,   do_lower_case=lowerCamelCase				,   remove_space=lowerCamelCase				,   keep_accents=lowerCamelCase				,   bos_token=lowerCamelCase				,   eos_token=lowerCamelCase				,   unk_token=lowerCamelCase				,   sep_token=lowerCamelCase				,   pad_token=lowerCamelCase				,   cls_token=lowerCamelCase				,   mask_token=lowerCamelCase				,   additional_special_tokens=lowerCamelCase				,   **lowerCamelCase				,   )

   __A		:     Dict												=		3
   __A		:     Optional[int]												=		do_lower_case
   __A		:     Any												=		remove_space
   __A		:     int												=		keep_accents
   __A		:     int												=		vocab_file
   __A		:     Dict												=		False if not self.vocab_file else True
 def 		lowercase_(   self			:    int				,   lowerCamelCase			:    List[int]				,   lowerCamelCase			:    Optional[List[int]] = None       ):



   """simple docstring"""





   __A		:     List[str]												=		[self.sep_token_id]
   __A		:     Any												=		[self.cls_token_id]
   if token_ids_a is None:
     return token_ids_a + sep + cls
   return token_ids_a + sep + token_ids_a + sep + cls
 def 		lowercase_(   self			:    Union[str, Any]				,   lowerCamelCase			:    List[int]				,   lowerCamelCase			:    Optional[List[int]] = None       ):



   """simple docstring"""





   __A		:     Any												=		[self.sep_token_id]
   __A		:     Dict												=		[2]

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






 def 		lowercase_(   self			:    Optional[int]				,   lowerCamelCase			:    str				,   lowerCamelCase			:    Optional[str] = None       ):



   """simple docstring"""





   if not self.can_save_slow_tokenizer:
     raise ValueError(
         """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
         """tokenizer."""       )

   if not os.path.isdir(lowerCamelCase       ):
     logger.error(f"Vocabulary path ({save_directory}) should be a directory"       )
     return
   __A		:     Any												=		os.path.join(
       lowerCamelCase				,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]       )

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

   return (out_vocab_file,)





'''simple docstring'''
import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links







def        A_     (						__SCREAMING_SNAKE_CASE						:  List[str]			,     __SCREAMING_SNAKE_CASE						:  Optional[int]=7 )				->       List[Any]:





  """simple docstring"""

  __A		:     Optional[int]												=		None
  if token is not None:
    __A		:     str												=		{"""Accept""": """application/vnd.github+json""", """Authorization""": F"Bearer {token}"}

  # The id of a workflow (not of a workflow run)
  __A		:     Union[str, Any]												=		"""636036"""

  __A		:     Optional[int]												=		F"https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs"
  # On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
  url += F"?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}"

  __A		:     int												=		requests.get(__SCREAMING_SNAKE_CASE			,     headers=__SCREAMING_SNAKE_CASE ).json()

  return result["workflow_runs"]







def        A_     (						__SCREAMING_SNAKE_CASE						:  Union[str, Any] )				->       Tuple:





  """simple docstring"""

  __A		:     str												=		get_daily_ci_runs(__SCREAMING_SNAKE_CASE )
  __A		:     List[Any]												=		None
  for workflow_run in workflow_runs:
    if workflow_run["status"] == "completed":
      __A		:     Dict												=		workflow_run["""id"""]
      break

  return workflow_run_id







def        A_     (						__SCREAMING_SNAKE_CASE						:  List[Any]			,     __SCREAMING_SNAKE_CASE						:  Any			,     __SCREAMING_SNAKE_CASE						:  Tuple )				->       Tuple:





  """simple docstring"""

  __A		:     Dict												=		get_last_daily_ci_runs(__SCREAMING_SNAKE_CASE )
  if workflow_run_id is not None:
    __A		:     str												=		get_artifacts_links(worflow_run_id=__SCREAMING_SNAKE_CASE			,     token=__SCREAMING_SNAKE_CASE )
    for artifact_name in artifact_names:
      if artifact_name in artifacts_links:
        __A		:     List[Any]												=		artifacts_links[artifact_name]
        download_artifact(
            artifact_name=__SCREAMING_SNAKE_CASE			,     artifact_url=__SCREAMING_SNAKE_CASE			,     output_dir=__SCREAMING_SNAKE_CASE			,     token=__SCREAMING_SNAKE_CASE )







def        A_     (						__SCREAMING_SNAKE_CASE						:  List[Any]			,     __SCREAMING_SNAKE_CASE						:  Optional[int]			,     __SCREAMING_SNAKE_CASE						:  Optional[Any] )				->       Union[str, Any]:





  """simple docstring"""

  get_last_daily_ci_artifacts(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE )

  __A		:     List[Any]												=		{}
  for artifact_name in artifact_names:
    __A		:     Any												=		os.path.join(__SCREAMING_SNAKE_CASE			,     F"{artifact_name}.zip" )
    if os.path.isfile(__SCREAMING_SNAKE_CASE ):
      __A		:     str												=		{}
      with zipfile.ZipFile(__SCREAMING_SNAKE_CASE ) as z:
        for filename in z.namelist():
          if not os.path.isdir(__SCREAMING_SNAKE_CASE ):
            # read the file
            with z.open(__SCREAMING_SNAKE_CASE ) as f:
              __A		:     Tuple												=		f.read().decode("""UTF-8""" )

  return results



