



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

import numpy as np


def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      np.array:
			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(__UpperCamelCase ,	stdin=subprocess.PIPE ,	stdout=subprocess.PIPE					) as ffmpeg_process:
									A__       =    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
			A__       =    output_stream[0]
			A__       =    np.frombuffer(__UpperCamelCase ,	np.floataa					)
			if audio.shape[0] == 0:
						raise ValueError('Malformed soundfile'					)
			return audio


def A						(       __UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase = "f32le" ,	)						->      Tuple:
			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(__UpperCamelCase ,	__UpperCamelCase					)
			for item in iterator:
						yield item


def A						(       __UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase = None ,	__UpperCamelCase = None ,	__UpperCamelCase = "f32le" ,	)						->      List[str]:
			if stream_chunk_s is not None:
						A__       =    stream_chunk_s
			else:
						A__       =    chunk_length_s

			A__       =    ffmpeg_microphone(__UpperCamelCase ,	__UpperCamelCase ,	format_for_conversion=__UpperCamelCase					)
			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(__UpperCamelCase ,	(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=__UpperCamelCase					)
			for item in chunk_bytes_iter(__UpperCamelCase ,	__UpperCamelCase ,	stride=(stride_left, stride_right) ,	stream=__UpperCamelCase					):
						# Put everything back in numpy scale
						A__       =    np.frombuffer(item['raw'] ,	dtype=__UpperCamelCase					)
						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						(       __UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase = False					)						->      Dict:
			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(__UpperCamelCase					) < chunk_len:
									A__       =    (_stride_left, 0)
									yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
						else:
									while len(__UpperCamelCase					) >= 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(__UpperCamelCase					) > stride_left:
						A__       =    {'raw': acc, 'stride': (_stride_left, 0)}
						if stream:
									A__       =    False
						yield item






def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      Optional[int]:
			A__       =    2**24  # 16Mo
			try:
						with subprocess.Popen(__UpperCamelCase ,	stdout=subprocess.PIPE ,	bufsize=__UpperCamelCase					) as ffmpeg_process:
									while True:
												A__       =    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









from typing import TYPE_CHECKING

from ..utils import _LazyModule


SCREAMING_SNAKE_CASE__       =      {
    '''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

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




