"""simple docstring"""
import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links







def 						__a       (     _SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE=7       )     ->Any:
  a__:					Tuple      							=     None
  if token is not None:
    a__:					Dict      							=     {'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

  # The id of a workflow (not of a workflow run)
  a__:					List[Any]      							=     '636036'

  a__:					List[Any]      							=     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__:					Optional[int]      							=     requests.get(_SCREAMING_SNAKE_CASE		,					headers=_SCREAMING_SNAKE_CASE       ).json()

  return result["workflow_runs"]







def 						__a       (     _SCREAMING_SNAKE_CASE       )     ->Union[str, Any]:
  a__:					Union[str, Any]      							=     get_daily_ci_runs(_SCREAMING_SNAKE_CASE       )
  a__:					List[Any]      							=     None
  for workflow_run in workflow_runs:
    if workflow_run["status"] == "completed":
      a__:					Union[str, Any]      							=     workflow_run['id']
      break

  return workflow_run_id







def 						__a       (     _SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE       )     ->int:
  a__:					Optional[Any]      							=     get_last_daily_ci_runs(_SCREAMING_SNAKE_CASE       )
  if workflow_run_id is not None:
    a__:					Optional[Any]      							=     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__:					int      							=     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		,					_SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE       )     ->List[str]:
  get_last_daily_ci_artifacts(_SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE       )

  a__:					int      							=     {}
  for artifact_name in artifact_names:
    a__:					Dict      							=     os.path.join(_SCREAMING_SNAKE_CASE		,					F'{artifact_name}.zip'       )
    if os.path.isfile(_SCREAMING_SNAKE_CASE       ):
      a__:					Any      							=     {}
      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__:					Optional[Any]      							=     f.read().decode('UTF-8'       )

  return results



"""simple docstring"""
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_lxmert import LxmertTokenizer


lowercase__ 	=     {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowercase__ 	=     {
    'vocab_file': {
        'unc-nlp/lxmert-base-uncased': 'https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'unc-nlp/lxmert-base-uncased': (
            'https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/tokenizer.json'
        ),
    },
}

lowercase__ 	=     {
    'unc-nlp/lxmert-base-uncased': 512,
}

lowercase__ 	=     {
    'unc-nlp/lxmert-base-uncased': {'do_lower_case': True},
}




class        __snake_case	(					__lowerCAmelCase    ):
      a__				=		VOCAB_FILES_NAMES
      a__				=		PRETRAINED_VOCAB_FILES_MAP
      a__				=		PRETRAINED_INIT_CONFIGURATION
      a__				=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a__				=		LxmertTokenizer



      def __init__(						self   ,      lowercase=None   ,      lowercase=None   ,      lowercase=True   ,      lowercase="[UNK]"   ,      lowercase="[SEP]"   ,      lowercase="[PAD]"   ,      lowercase="[CLS]"   ,      lowercase="[MASK]"   ,      lowercase=True   ,      lowercase=None   ,      **lowercase   ,      )     ->      Dict:





        '''simple docstring'''





        super().__init__(
            lowercase   ,      tokenizer_file=lowercase   ,      do_lower_case=lowercase   ,      unk_token=lowercase   ,      sep_token=lowercase   ,      pad_token=lowercase   ,      cls_token=lowercase   ,      mask_token=lowercase   ,      tokenize_chinese_chars=lowercase   ,      strip_accents=lowercase   ,      **lowercase   ,      )

        a__:					Dict      							=     json.loads(self.backend_tokenizer.normalizer.__getstate__())
        if (
            normalizer_state.get('lowercase'   ,      lowercase) != do_lower_case
            or normalizer_state.get('strip_accents'   ,      lowercase) != strip_accents
            or normalizer_state.get('handle_chinese_chars'   ,      lowercase) != tokenize_chinese_chars
        ):
          a__:					int      							=     getattr(lowercase   ,      normalizer_state.pop('type'))
          a__:					Dict      							=     do_lower_case
          a__:					Dict      							=     strip_accents
          a__:					Optional[int]      							=     tokenize_chinese_chars
          a__:					List[Any]      							=     normalizer_class(**lowercase)

        a__:					Optional[int]      							=     do_lower_case



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase=None)     ->      Tuple:





        '''simple docstring'''





        a__:					Optional[Any]      							=     [self.cls_token_id] + token_ids_a + [self.sep_token_id]

        if token_ids_a:
          output += token_ids_a + [self.sep_token_id]

        return output



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      List[int]:





        '''simple docstring'''





        a__:					List[Any]      							=     [self.sep_token_id]
        a__:					List[Any]      							=     [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   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      Tuple[str]:





        '''simple docstring'''





        a__:					List[Any]      							=     self._tokenizer.model.save(lowercase   ,      name=lowercase)
        return tuple(lowercase)


