


import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links




def    snake_case_     (  snake_case			,							snake_case=7     )  ->				int:
       lowercase__:   int  			=   None
       if token is not None:
              lowercase__:   Optional[int]  			=   {'Accept': 'application/vnd.github+json', 'Authorization': f'Bearer {token}'}

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

       lowercase__:   Dict  			=   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}'

       lowercase__:   Union[str, Any]  			=   requests.get(snake_case			,							headers=snake_case     ).json()

       return result["workflow_runs"]




def    snake_case_     (  snake_case     )  ->				List[Any]:
       lowercase__:   Tuple  			=   get_daily_ci_runs(snake_case     )
       lowercase__:   List[Any]  			=   None
       for workflow_run in workflow_runs:
              if workflow_run["status"] == "completed":
                     lowercase__:   Union[str, Any]  			=   workflow_run['id']
                     break

       return workflow_run_id




def    snake_case_     (  snake_case			,							snake_case			,							snake_case     )  ->				int:
       lowercase__:   Optional[int]  			=   get_last_daily_ci_runs(snake_case     )
       if workflow_run_id is not None:
              lowercase__:   Tuple  			=   get_artifacts_links(worflow_run_id=snake_case			,							token=snake_case     )
              for artifact_name in artifact_names:
                     if artifact_name in artifacts_links:
                            lowercase__:   Tuple  			=   artifacts_links[artifact_name]
                            download_artifact(
                                artifact_name=snake_case			,							artifact_url=snake_case			,							output_dir=snake_case			,							token=snake_case     )




def    snake_case_     (  snake_case			,							snake_case			,							snake_case     )  ->				str:
       get_last_daily_ci_artifacts(snake_case			,							snake_case			,							snake_case     )

       lowercase__:   Optional[Any]  			=   {}
       for artifact_name in artifact_names:
              lowercase__:   Any  			=   os.path.join(snake_case			,							f'{artifact_name}.zip'     )
              if os.path.isfile(snake_case     ):
                     lowercase__:   Union[str, Any]  			=   {}
                     with zipfile.ZipFile(snake_case     ) as z:
                            for filename in z.namelist():
                                   if not os.path.isdir(snake_case     ):
                                          # read the file
                                          with z.open(snake_case     ) as f:
                                                 lowercase__:   Dict  			=   f.read().decode('UTF-8'     )

       return results






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__lowerCAmelCase		       =							{
    '''configuration_encodec''': [
        '''ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EncodecConfig''',
    ],
    '''feature_extraction_encodec''': ['''EncodecFeatureExtractor'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowerCAmelCase		       =							[
     '''ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''EncodecModel''',
     '''EncodecPreTrainedModel''',
 ]

if TYPE_CHECKING:
 from .configuration_encodec import (
     ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
     EncodecConfig,
 )
 from .feature_extraction_encodec import EncodecFeatureExtractor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_encodec import (
      ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
      EncodecModel,
      EncodecPreTrainedModel,
  )

else:
 import sys

 __lowerCAmelCase		       =							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


