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

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE=7       ):
    """simple docstring"""






    snake_case_ :    List[Any]     			=						None
    if token is not None:
        snake_case_ :    int     			=						{"Accept": "application/vnd.github+json", "Authorization": f'Bearer {token}'}

    # The id of a workflow (not of a workflow run)
    snake_case_ :    Optional[int]     			=						"636036"

    snake_case_ :    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}'

    snake_case_ :    Optional[int]     			=						requests.get(__SCREAMING_SNAKE_CASE,		headers=__SCREAMING_SNAKE_CASE       ).json()

    return result["workflow_runs"]

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






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

    return workflow_run_id

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






    snake_case_ :    List[Any]     			=						get_last_daily_ci_runs(__SCREAMING_SNAKE_CASE       )
    if workflow_run_id is not None:
        snake_case_ :    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:
                snake_case_ :    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 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






    get_last_daily_ci_artifacts(__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       )

    snake_case_ :    List[Any]     			=						{}
    for artifact_name in artifact_names:
        snake_case_ :    Any     			=						os.path.join(__SCREAMING_SNAKE_CASE,		f'{artifact_name}.zip'       )
        if os.path.isfile(__SCREAMING_SNAKE_CASE       ):
            snake_case_ :    Dict     			=						{}
            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:
                            snake_case_ :    Union[str, Any]     			=						f.read().decode("UTF-8"       )

    return results






'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_											=						{"configuration_wavlm": ["WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "WavLMConfig"]}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a_											=						[
      "WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST",
      "WavLMForAudioFrameClassification",
      "WavLMForCTC",
      "WavLMForSequenceClassification",
      "WavLMForXVector",
      "WavLMModel",
      "WavLMPreTrainedModel",
  ]

if TYPE_CHECKING:
  from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_wavlm import (
        WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
        WavLMForAudioFrameClassification,
        WavLMForCTC,
        WavLMForSequenceClassification,
        WavLMForXVector,
        WavLMModel,
        WavLMPreTrainedModel,
    )

else:
  import sys

  a_											=						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




