


"""simple docstring"""


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

import numpy as np


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase ):

			'''simple docstring'''




			__lowerCAmelCase							       =     f"{sampling_rate}"
			__lowerCAmelCase							       =     "1"
			__lowerCAmelCase							       =     "f32le"
			__lowerCAmelCase							       =     [
			    "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:
									__lowerCAmelCase							       =     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
			__lowerCAmelCase							       =     output_stream[0]
			__lowerCAmelCase							       =     np.frombuffer(_UpperCamelCase       ,					np.floataa )
			if audio.shape[0] == 0:
						raise ValueError("Malformed soundfile" )
			return audio


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase = "f32le"       ,					):

			'''simple docstring'''




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

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

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


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase = None       ,					_UpperCamelCase = None       ,					_UpperCamelCase = "f32le"       ,					):

			'''simple docstring'''




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

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

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

			__lowerCAmelCase							       =     int(round(sampling_rate * stride_length_s[0] ) ) * size_of_sample
			__lowerCAmelCase							       =     int(round(sampling_rate * stride_length_s[1] ) ) * size_of_sample
			__lowerCAmelCase							       =     datetime.datetime.now()
			__lowerCAmelCase							       =     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
						__lowerCAmelCase							       =     np.frombuffer(item["raw"]       ,					dtype=_UpperCamelCase )
						__lowerCAmelCase							       =     (
						    item["stride"][0] // size_of_sample,
						    item["stride"][1] // size_of_sample,
						)
						__lowerCAmelCase							       =     sampling_rate
						audio_time += delta
						if datetime.datetime.now() > audio_time + 10 * delta:
									# We're late !! SKIP
									continue
						yield item


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase       ,					_UpperCamelCase = False ):

			'''simple docstring'''




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


def _lowerCamelCase      (						_UpperCamelCase       ,					_UpperCamelCase ):

			'''simple docstring'''




			__lowerCAmelCase							       =     2**24  # 16Mo
			try:
						with subprocess.Popen(_UpperCamelCase       ,					stdout=subprocess.PIPE       ,					bufsize=_UpperCamelCase ) as ffmpeg_process:
									while True:
												__lowerCAmelCase							       =     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 baseaa


def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			return baseaa.baaencode(string.encode("utf-8" ) )


def _lowerCamelCase      (						_UpperCamelCase ):

			'''simple docstring'''




			return baseaa.baadecode(_UpperCamelCase ).decode("utf-8" )


if __name__ == "__main__":
	A	:  List[str]            =     "Hello World!"
	A	:  Any            =     baseaa_encode(test)
	print(encoded)

	A	:  List[Any]            =     baseaa_decode(encoded)
	print(decoded)




