
"""simple docstring"""





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

import numpy as np
def 				A_  (__a					, __a					):

					'''simple docstring'''





					A_								=    f'{sampling_rate}'
					A_								=    "1"
					A_								=    "f32le"
					A_								=    [
					    "ffmpeg",
					    "-i",
					    "pipe:0",
					    "-ac",
					    ac,
					    "-ar",
					    ar,
					    "-f",
					    format_for_conversion,
					    "-hide_banner",
					    "-loglevel",
					    "quiet",
					    "pipe:1",
					]

					try:
										with subprocess.Popen(__a					, stdin=subprocess.PIPE					, stdout=subprocess.PIPE					) as ffmpeg_process:
															A_								=    ffmpeg_process.communicate(__a					)
					except FileNotFoundError as error:
										raise ValueError("ffmpeg was not found but is required to load audio files from filename"					) from error
					A_								=    output_stream[0]
					A_								=    np.frombuffer(__a					, np.floataa					)
					if audio.shape[0] == 0:
										raise ValueError("Malformed soundfile"					)
					return audio
def 				A_  (__a					, __a					, __a = "f32le"					, ):

					'''simple docstring'''





					A_								=    f'{sampling_rate}'
					A_								=    "1"
					if format_for_conversion == "s16le":
										A_								=    2
					elif format_for_conversion == "f32le":
										A_								=    4
					else:
										raise ValueError(f'Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'					)

					A_								=    platform.system()
					if system == "Linux":
										A_								=    "alsa"
										A_								=    "default"
					elif system == "Darwin":
										A_								=    "avfoundation"
										A_								=    ":0"
					elif system == "Windows":
										A_								=    "dshow"
										A_								=    "default"

					A_								=    [
					    "ffmpeg",
					    "-f",
					    format_,
					    "-i",
					    input_,
					    "-ac",
					    ac,
					    "-ar",
					    ar,
					    "-f",
					    format_for_conversion,
					    "-fflags",
					    "nobuffer",
					    "-hide_banner",
					    "-loglevel",
					    "quiet",
					    "pipe:1",
					]
					A_								=    int(round(sampling_rate * chunk_length_s					)					) * size_of_sample
					A_								=    _ffmpeg_stream(__a					, __a					)
					for item in iterator:
										yield item
def 				A_  (__a					, __a					, __a = None					, __a = None					, __a = "f32le"					, ):

					'''simple docstring'''





					if stream_chunk_s is not None:
										A_								=    stream_chunk_s
					else:
										A_								=    chunk_length_s

					A_								=    ffmpeg_microphone(__a					, __a					, format_for_conversion=__a					)
					if format_for_conversion == "s16le":
										A_								=    np.intaa
										A_								=    2
					elif format_for_conversion == "f32le":
										A_								=    np.floataa
										A_								=    4
					else:
										raise ValueError(f'Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'					)

					if stride_length_s is None:
										A_								=    chunk_length_s / 6
					A_								=    int(round(sampling_rate * chunk_length_s					)					) * size_of_sample
					if isinstance(__a					, (int, float)					):
										A_								=    [stride_length_s, stride_length_s]

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

					'''simple docstring'''





					A_								=    b""
					A_			,     A_								=    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}'					)
					A_								=    0
					for raw in iterator:
										acc += raw
										if stream and len(__a					) < chunk_len:
															A_								=    (_stride_left, 0)
															yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
										else:
															while len(__a					) >= chunk_len:
																				# We are flushing the accumulator
																				A_								=    (_stride_left, stride_right)
																				A_								=    {"raw": acc[:chunk_len], "stride": stride}
																				if stream:
																									A_								=    False
																				yield item
																				A_								=    stride_left
																				A_								=    acc[chunk_len - stride_left - stride_right :]
    # Last chunk
					if len(__a					) > stride_left:
										A_								=    {"raw": acc, "stride": (_stride_left, 0)}
										if stream:
															A_								=    False
										yield item




def 				A_  (__a					, __a					):

					'''simple docstring'''





					A_								=    2**24  # 16Mo
					try:
										with subprocess.Popen(__a					, stdout=subprocess.PIPE					, bufsize=__a					) as ffmpeg_process:
															while True:
																				A_								=    ffmpeg_process.stdout.read(__a					)
																				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"""





from typing import TYPE_CHECKING

from ..utils import _LazyModule


UpperCamelCase_       :    Dict						      =			{
    '''config''': [
        '''EXTERNAL_DATA_FORMAT_SIZE_LIMIT''',
        '''OnnxConfig''',
        '''OnnxConfigWithPast''',
        '''OnnxSeq2SeqConfigWithPast''',
        '''PatchingSpec''',
    ],
    '''convert''': ['''export''', '''validate_model_outputs'''],
    '''features''': ['''FeaturesManager'''],
    '''utils''': ['''ParameterFormat''', '''compute_serialized_parameters_size'''],
}


if TYPE_CHECKING:
		from .config import (
		    EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
		    OnnxConfig,
		    OnnxConfigWithPast,
		    OnnxSeqaSeqConfigWithPast,
		    PatchingSpec,
		)
		from .convert import export, validate_model_outputs
		from .features import FeaturesManager
		from .utils import ParameterFormat, compute_serialized_parameters_size

else:
		import sys

		UpperCamelCase_       :    List[Any]						      =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




