import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links







def 						A__  (					__A   , __A=7	):







    '''simple docstring'''
    _lowerCamelCase     :		List[Any] 						=						None
    if token is not None:
        _lowerCamelCase     :		Tuple 						=						{"""Accept""": """application/vnd.github+json""", """Authorization""": F"""Bearer {token}"""}

    # The id of a workflow (not of a workflow run)
    _lowerCamelCase     :		int 						=						"""636036"""

    _lowerCamelCase     :		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}"""

    _lowerCamelCase     :		List[Any] 						=						requests.get(__A   , headers=__A	).json()

    return result["workflow_runs"]







def 						A__  (					__A	):







    '''simple docstring'''
    _lowerCamelCase     :		Union[str, Any] 						=						get_daily_ci_runs(__A	)
    _lowerCamelCase     :		Optional[Any] 						=						None
    for workflow_run in workflow_runs:
        if workflow_run["status"] == "completed":
            _lowerCamelCase     :		str 						=						workflow_run["""id"""]
            break

    return workflow_run_id







def 						A__  (					__A   , __A   , __A	):







    '''simple docstring'''
    _lowerCamelCase     :		str 						=						get_last_daily_ci_runs(__A	)
    if workflow_run_id is not None:
        _lowerCamelCase     :		Tuple 						=						get_artifacts_links(worflow_run_id=__A   , token=__A	)
        for artifact_name in artifact_names:
            if artifact_name in artifacts_links:
                _lowerCamelCase     :		Optional[Any] 						=						artifacts_links[artifact_name]
                download_artifact(
                    artifact_name=__A   , artifact_url=__A   , output_dir=__A   , token=__A	)







def 						A__  (					__A   , __A   , __A	):







    '''simple docstring'''
    get_last_daily_ci_artifacts(__A   , __A   , __A	)

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

    return results





import json
import os
from typing import Optional, Tuple

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


lowerCAmelCase			:							Dict     =logging.get_logger(__name__)

lowerCAmelCase			:							Dict     ={"vocab_file": "vocab.json"}

lowerCAmelCase			:							List[str]     ={
    "vocab_file": {
        "mgp-str": "https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json",
    }
}

lowerCAmelCase			:							int     ={"mgp-str": 27}




class 	__snake_case	( __lowerCAmelCase		):





      '''simple docstring'''






      _snake_case    		=       VOCAB_FILES_NAMES
      _snake_case    		=       PRETRAINED_VOCAB_FILES_MAP
      _snake_case    		=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



      def __init__(					self     :				List[Any]    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				int="[GO]"    ,  _UpperCamelCase     :				Any="[GO]"    ,  _UpperCamelCase     :				Optional[Any]="[s]"    ,  _UpperCamelCase     :				List[str]="[GO]"    ,  **_UpperCamelCase     :				Dict)				->Union[str, Any]:


          """simple docstring"""


          super().__init__(
              unk_token=_UpperCamelCase    ,  bos_token=_UpperCamelCase    ,  eos_token=_UpperCamelCase    ,  pad_token=_UpperCamelCase    ,  **_UpperCamelCase    ,  )

          with open(_UpperCamelCase    ,  encoding="""utf-8""") as vocab_handle:
              _lowerCamelCase     :		Optional[Any] 						=						json.load(_UpperCamelCase)
          _lowerCamelCase     :		Optional[Any] 						=						{v: k for k, v in self.vocab.items()}



      @property
      def 	_SCREAMING_SNAKE_CASE    (					self     :				str)				->Any:


          """simple docstring"""


          return len(self.vocab)



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Any)				->List[Any]:


          """simple docstring"""


          return dict(self.vocab    ,  **self.added_tokens_encoder)



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[int]    ,  _UpperCamelCase     :				Union[str, Any])				->Any:


          """simple docstring"""


          _lowerCamelCase     :		Tuple 						=						[]
          for s in text:
              char_tokens.extend(_UpperCamelCase)
          return char_tokens



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Union[str, Any]    ,  _UpperCamelCase     :				int)				->Optional[int]:


          """simple docstring"""


          return self.vocab.get(_UpperCamelCase    ,  self.vocab.get(self.unk_token))



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Optional[int]    ,  _UpperCamelCase     :				Optional[Any])				->Dict:


          """simple docstring"""


          return self.decoder.get(_UpperCamelCase)




      def 	_SCREAMING_SNAKE_CASE    (					self     :				int    ,  _UpperCamelCase     :				str    ,  _UpperCamelCase     :				Optional[str] = None)				->Tuple[str]:


          """simple docstring"""


          if not os.path.isdir(_UpperCamelCase):
              logger.error("""Vocabulary path ({}) should be a directory""".format(_UpperCamelCase))
              return
          _lowerCamelCase     :		Tuple 						=						os.path.join(
              _UpperCamelCase    ,  (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])

          with open(_UpperCamelCase    ,  """w"""    ,  encoding="""utf-8""") as f:
              f.write(json.dumps(self.vocab    ,  indent=2    ,  sort_keys=_UpperCamelCase    ,  ensure_ascii=_UpperCamelCase) + """\n""")

          return (vocab_file,)




