



"""simple docstring"""




import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union

import numpy as np

def 						__snake_case						(				SCREAMING_SNAKE_CASE__     :						bytes						,  SCREAMING_SNAKE_CASE__     :						int    )  ->       np.array:





     '''simple docstring'''

     _UpperCAmelCase      :     List[str]        =   f'{sampling_rate}'
     _UpperCAmelCase      :     str        =   "1"
     _UpperCAmelCase      :     Optional[Any]        =   "f32le"
     _UpperCAmelCase      :     Optional[int]        =   [
         "ffmpeg",
         "-i",
         "pipe:0",
         "-ac",
         ac,
         "-ar",
         ar,
         "-f",
         format_for_conversion,
         "-hide_banner",
         "-loglevel",
         "quiet",
         "pipe:1",
     ]

     try:
          with subprocess.Popen(SCREAMING_SNAKE_CASE__						,  stdin=subprocess.PIPE						,  stdout=subprocess.PIPE    ) as ffmpeg_process:
               _UpperCAmelCase      :     List[Any]        =   ffmpeg_process.communicate(SCREAMING_SNAKE_CASE__    )
     except FileNotFoundError as error:
          raise ValueError("ffmpeg was not found but is required to load audio files from filename"    ) from error
     _UpperCAmelCase      :     Dict        =   output_stream[0]
     _UpperCAmelCase      :     Optional[Any]        =   np.frombuffer(SCREAMING_SNAKE_CASE__						,  np.floataa    )
     if audio.shape[0] == 0:
          raise ValueError("Malformed soundfile"    )
     return audio

def 						__snake_case						(				SCREAMING_SNAKE_CASE__     :						int						,  SCREAMING_SNAKE_CASE__     :						float						,  SCREAMING_SNAKE_CASE__     :						str = "f32le"						,  )  ->       Optional[int]:





     '''simple docstring'''

     _UpperCAmelCase      :     List[Any]        =   f'{sampling_rate}'
     _UpperCAmelCase      :     int        =   "1"
     if format_for_conversion == "s16le":
          _UpperCAmelCase      :     Dict        =   2
     elif format_for_conversion == "f32le":
          _UpperCAmelCase      :     Optional[int]        =   4
     else:
          raise ValueError(f'Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'    )

     _UpperCAmelCase      :     List[Any]        =   platform.system()
     if system == "Linux":
          _UpperCAmelCase      :     Dict        =   "alsa"
          _UpperCAmelCase      :     Optional[Any]        =   "default"
     elif system == "Darwin":
          _UpperCAmelCase      :     Union[str, Any]        =   "avfoundation"
          _UpperCAmelCase      :     str        =   ":0"
     elif system == "Windows":
          _UpperCAmelCase      :     Optional[int]        =   "dshow"
          _UpperCAmelCase      :     Union[str, Any]        =   "default"

     _UpperCAmelCase      :     str        =   [
         "ffmpeg",
         "-f",
         format_,
         "-i",
         input_,
         "-ac",
         ac,
         "-ar",
         ar,
         "-f",
         format_for_conversion,
         "-fflags",
         "nobuffer",
         "-hide_banner",
         "-loglevel",
         "quiet",
         "pipe:1",
     ]
     _UpperCAmelCase      :     Tuple        =   int(round(sampling_rate * chunk_length_s    )    ) * size_of_sample
     _UpperCAmelCase      :     Optional[Any]        =   _ffmpeg_stream(SCREAMING_SNAKE_CASE__						,  SCREAMING_SNAKE_CASE__    )
     for item in iterator:
          yield item

def 						__snake_case						(				SCREAMING_SNAKE_CASE__     :						int						,  SCREAMING_SNAKE_CASE__     :						float						,  SCREAMING_SNAKE_CASE__     :						Optional[int] = None						,  SCREAMING_SNAKE_CASE__     :						Optional[Union[Tuple[float, float], float]] = None						,  SCREAMING_SNAKE_CASE__     :						str = "f32le"						,  )  ->       Tuple:





     '''simple docstring'''

     if stream_chunk_s is not None:
          _UpperCAmelCase      :     Dict        =   stream_chunk_s
     else:
          _UpperCAmelCase      :     Any        =   chunk_length_s

     _UpperCAmelCase      :     Any        =   ffmpeg_microphone(SCREAMING_SNAKE_CASE__						,  SCREAMING_SNAKE_CASE__						,  format_for_conversion=SCREAMING_SNAKE_CASE__    )
     if format_for_conversion == "s16le":
          _UpperCAmelCase      :     str        =   np.intaa
          _UpperCAmelCase      :     List[str]        =   2
     elif format_for_conversion == "f32le":
          _UpperCAmelCase      :     Tuple        =   np.floataa
          _UpperCAmelCase      :     Union[str, Any]        =   4
     else:
          raise ValueError(f'Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'    )

     if stride_length_s is None:
          _UpperCAmelCase      :     Tuple        =   chunk_length_s / 6
     _UpperCAmelCase      :     Dict        =   int(round(sampling_rate * chunk_length_s    )    ) * size_of_sample
     if isinstance(SCREAMING_SNAKE_CASE__						,  (int, float)    ):
          _UpperCAmelCase      :     Tuple        =   [stride_length_s, stride_length_s]

     _UpperCAmelCase      :     str        =   int(round(sampling_rate * stride_length_s[0]    )    ) * size_of_sample
     _UpperCAmelCase      :     Tuple        =   int(round(sampling_rate * stride_length_s[1]    )    ) * size_of_sample
     _UpperCAmelCase      :     Union[str, Any]        =   datetime.datetime.now()
     _UpperCAmelCase      :     Any        =   datetime.timedelta(seconds=SCREAMING_SNAKE_CASE__    )
     for item in chunk_bytes_iter(SCREAMING_SNAKE_CASE__						,  SCREAMING_SNAKE_CASE__						,  stride=(stride_left, stride_right)						,  stream=SCREAMING_SNAKE_CASE__    ):
          # Put everything back in numpy scale
          _UpperCAmelCase      :     str        =   np.frombuffer(item["raw"]						,  dtype=SCREAMING_SNAKE_CASE__    )
          _UpperCAmelCase      :     Optional[Any]        =   (
              item["stride"][0] // size_of_sample,
              item["stride"][1] // size_of_sample,
          )
          _UpperCAmelCase      :     Any        =   sampling_rate
          audio_time += delta
          if datetime.datetime.now() > audio_time + 10 * delta:
               # We're late !! SKIP
               continue
          yield item

def 						__snake_case						(				SCREAMING_SNAKE_CASE__     :						List[Any]						,  SCREAMING_SNAKE_CASE__     :						int						,  SCREAMING_SNAKE_CASE__     :						Tuple[int, int]						,  SCREAMING_SNAKE_CASE__     :						bool = False    )  ->       Union[str, Any]:





     '''simple docstring'''

     _UpperCAmelCase      :     int        =   b""
     _UpperCAmelCase    ,	_UpperCAmelCase      :     Optional[Any]        =   stride
     if stride_left + stride_right >= chunk_len:
          raise ValueError(
              f'Stride needs to be strictly smaller than chunk_len: ({stride_left}, {stride_right}) vs {chunk_len}'    )
     _UpperCAmelCase      :     Optional[Any]        =   0
     for raw in iterator:
          acc += raw
          if stream and len(SCREAMING_SNAKE_CASE__    ) < chunk_len:
               _UpperCAmelCase      :     Optional[int]        =   (_stride_left, 0)
               yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
          else:
               while len(SCREAMING_SNAKE_CASE__    ) >= chunk_len:
                    # We are flushing the accumulator
                    _UpperCAmelCase      :     List[Any]        =   (_stride_left, stride_right)
                    _UpperCAmelCase      :     List[str]        =   {"raw": acc[:chunk_len], "stride": stride}
                    if stream:
                         _UpperCAmelCase      :     int        =   False
                    yield item
                    _UpperCAmelCase      :     Optional[int]        =   stride_left
                    _UpperCAmelCase      :     List[Any]        =   acc[chunk_len - stride_left - stride_right :]
    # Last chunk
     if len(SCREAMING_SNAKE_CASE__    ) > stride_left:
          _UpperCAmelCase      :     Optional[int]        =   {"raw": acc, "stride": (_stride_left, 0)}
          if stream:
               _UpperCAmelCase      :     List[Any]        =   False
          yield item

def 						__snake_case						(				SCREAMING_SNAKE_CASE__     :						int						,  SCREAMING_SNAKE_CASE__     :						int    )  ->       Dict:





     '''simple docstring'''

     _UpperCAmelCase      :     str        =   2**24  # 16Mo
     try:
          with subprocess.Popen(SCREAMING_SNAKE_CASE__						,  stdout=subprocess.PIPE						,  bufsize=SCREAMING_SNAKE_CASE__    ) as ffmpeg_process:
               while True:
                    _UpperCAmelCase      :     Optional[int]        =   ffmpeg_process.stdout.read(SCREAMING_SNAKE_CASE__    )
                    if raw == b"":
                         break
                    yield raw
     except FileNotFoundError as error:
          raise ValueError("ffmpeg was not found but is required to stream audio files from filename"    ) from error





"""simple docstring"""




import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links

def 						__snake_case						(				SCREAMING_SNAKE_CASE__     :						Tuple						,  SCREAMING_SNAKE_CASE__     :						List[str]=7    )  ->       Tuple:





     '''simple docstring'''

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

     # The id of a workflow (not of a workflow run)
     _UpperCAmelCase      :     Any        =   "636036"

     _UpperCAmelCase      :     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}'

     _UpperCAmelCase      :     Tuple        =   requests.get(SCREAMING_SNAKE_CASE__						,  headers=SCREAMING_SNAKE_CASE__    ).json()

     return result["workflow_runs"]

def 						__snake_case						(				SCREAMING_SNAKE_CASE__     :						Union[str, Any]    )  ->       Optional[int]:





     '''simple docstring'''

     _UpperCAmelCase      :     int        =   get_daily_ci_runs(SCREAMING_SNAKE_CASE__    )
     _UpperCAmelCase      :     Optional[int]        =   None
     for workflow_run in workflow_runs:
          if workflow_run["status"] == "completed":
               _UpperCAmelCase      :     str        =   workflow_run["id"]
               break

     return workflow_run_id

def 						__snake_case						(				SCREAMING_SNAKE_CASE__     :						Dict						,  SCREAMING_SNAKE_CASE__     :						str						,  SCREAMING_SNAKE_CASE__     :						Union[str, Any]    )  ->       List[str]:





     '''simple docstring'''

     _UpperCAmelCase      :     List[str]        =   get_last_daily_ci_runs(SCREAMING_SNAKE_CASE__    )
     if workflow_run_id is not None:
          _UpperCAmelCase      :     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:
                    _UpperCAmelCase      :     List[str]        =   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 						__snake_case						(				SCREAMING_SNAKE_CASE__     :						Tuple						,  SCREAMING_SNAKE_CASE__     :						Dict						,  SCREAMING_SNAKE_CASE__     :						Union[str, Any]    )  ->       Union[str, Any]:





     '''simple docstring'''

     get_last_daily_ci_artifacts(SCREAMING_SNAKE_CASE__						,  SCREAMING_SNAKE_CASE__						,  SCREAMING_SNAKE_CASE__    )

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

     return results
