

'''simple docstring'''

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

import numpy as np





def    A_  ( snake_case      ,       snake_case ):
  SCREAMING_SNAKE_CASE:Any						      =					F'''{sampling_rate}'''
  SCREAMING_SNAKE_CASE:Optional[int]						      =					"1"
  SCREAMING_SNAKE_CASE:Dict						      =					"f32le"
  SCREAMING_SNAKE_CASE:Optional[Any]						      =					[
      "ffmpeg",
      "-i",
      "pipe:0",
      "-ac",
      ac,
      "-ar",
      ar,
      "-f",
      format_for_conversion,
      "-hide_banner",
      "-loglevel",
      "quiet",
      "pipe:1",
  ]

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





def    A_  ( snake_case      ,       snake_case      ,       snake_case = "f32le"      ,       ):
  SCREAMING_SNAKE_CASE:int						      =					F'''{sampling_rate}'''
  SCREAMING_SNAKE_CASE:Union[str, Any]						      =					"1"
  if format_for_conversion == "s16le":
    SCREAMING_SNAKE_CASE:Union[str, Any]						      =					2
  elif format_for_conversion == "f32le":
    SCREAMING_SNAKE_CASE:Tuple						      =					4
  else:
    raise ValueError(F'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`''' )

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

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





def    A_  ( snake_case      ,       snake_case      ,       snake_case = None      ,       snake_case = None      ,       snake_case = "f32le"      ,       ):
  if stream_chunk_s is not None:
    SCREAMING_SNAKE_CASE:int						      =					stream_chunk_s
  else:
    SCREAMING_SNAKE_CASE:Tuple						      =					chunk_length_s

  SCREAMING_SNAKE_CASE:Any						      =					ffmpeg_microphone(UpperCamelCase__      ,       UpperCamelCase__      ,       format_for_conversion=UpperCamelCase__ )
  if format_for_conversion == "s16le":
    SCREAMING_SNAKE_CASE:Optional[int]						      =					np.intaa
    SCREAMING_SNAKE_CASE:List[Any]						      =					2
  elif format_for_conversion == "f32le":
    SCREAMING_SNAKE_CASE:Optional[Any]						      =					np.floataa
    SCREAMING_SNAKE_CASE:Tuple						      =					4
  else:
    raise ValueError(F'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`''' )

  if stride_length_s is None:
    SCREAMING_SNAKE_CASE:str						      =					chunk_length_s / 6
  SCREAMING_SNAKE_CASE:Dict						      =					int(round(sampling_rate * chunk_length_s ) ) * size_of_sample
  if isinstance(UpperCamelCase__      ,       (int, float) ):
    SCREAMING_SNAKE_CASE:List[str]						      =					[stride_length_s, stride_length_s]

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





def    A_  ( snake_case      ,       snake_case      ,       snake_case      ,       snake_case = False ):
  SCREAMING_SNAKE_CASE:Any						      =					b""
  SCREAMING_SNAKE_CASE      ,    SCREAMING_SNAKE_CASE:List[str]						      =					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}''' )
  SCREAMING_SNAKE_CASE:str						      =					0
  for raw in iterator:
    acc += raw
    if stream and len(UpperCamelCase__ ) < chunk_len:
      SCREAMING_SNAKE_CASE:Any						      =					(_stride_left, 0)
      yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
    else:
      while len(UpperCamelCase__ ) >= chunk_len:
        # We are flushing the accumulator
        SCREAMING_SNAKE_CASE:Tuple						      =					(_stride_left, stride_right)
        SCREAMING_SNAKE_CASE:List[Any]						      =					{"raw": acc[:chunk_len], "stride": stride}
        if stream:
          SCREAMING_SNAKE_CASE:Optional[Any]						      =					False
        yield item
        SCREAMING_SNAKE_CASE:Union[str, Any]						      =					stride_left
        SCREAMING_SNAKE_CASE:Tuple						      =					acc[chunk_len - stride_left - stride_right :]
    # Last chunk
  if len(UpperCamelCase__ ) > stride_left:
    SCREAMING_SNAKE_CASE:Optional[Any]						      =					{"raw": acc, "stride": (_stride_left, 0)}
    if stream:
      SCREAMING_SNAKE_CASE:Dict						      =					False
    yield item





def    A_  ( snake_case      ,       snake_case ):
  SCREAMING_SNAKE_CASE:Optional[int]						      =					2**24  # 16Mo
  try:
    with subprocess.Popen(UpperCamelCase__      ,       stdout=subprocess.PIPE      ,       bufsize=UpperCamelCase__ ) as ffmpeg_process:
      while True:
        SCREAMING_SNAKE_CASE:int						      =					ffmpeg_process.stdout.read(UpperCamelCase__ )
        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 argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
A_       						=							[
    "kernels/rwkv/wkv_cuda.cu",
    "kernels/rwkv/wkv_op.cpp",
    "kernels/deformable_detr/ms_deform_attn.h",
    "kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh",
    "models/graphormer/algos_graphormer.pyx",
]





def    A_  ( snake_case ):
  # Test all the extensions added in the setup
  for file in FILES_TO_FIND:
    if not (transformers_path / file).exists():
      return False
  return True


if __name__ == "__main__":
    A_       						=							argparse.ArgumentParser()
    parser.add_argument("--check_lib", action="store_true", help="Whether to check the build or the actual package.")
    A_       						=							parser.parse_args()
    if args.check_lib:
        A_       						=							importlib.import_module("transformers")
        A_       						=							Path(transformers_module.__file__).parent
    else:
        A_       						=							Path.cwd() / "build/lib/transformers"
    if not test_custom_files_are_present(transformers_path):
        raise ValueError("The built release does not contain the custom files. Fix this before going further!")






