





"""simple docstring"""






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

import numpy as np

def     __A      (			a_						:bytes   ,       a_						:int)		->		np.array:
				__a :						List[str]			       =  F"""{sampling_rate}"""
				__a :						List[Any]			       =  '''1'''
				__a :						Optional[int]			       =  '''f32le'''
				__a :						int			       =  [
				    '''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 :						List[str]			       =  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 :						str			       =  output_stream[0]
				__a :						List[Any]			       =  np.frombuffer(a_   ,       np.floataa)
				if audio.shape[0] == 0:
								raise ValueError('''Malformed soundfile''')
				return audio

def     __A      (			a_						:int   ,       a_						:float   ,       a_						:str = "f32le"   ,       )		->		Dict:
				__a :						List[Any]			       =  F"""{sampling_rate}"""
				__a :						int			       =  '''1'''
				if format_for_conversion == "s16le":
								__a :						Optional[int]			       =  2
				elif format_for_conversion == "f32le":
								__a :						Optional[int]			       =  4
				else:
								raise ValueError(F"""Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`""")

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

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

def     __A      (			a_						:int   ,       a_						:float   ,       a_						:Optional[int] = None   ,       a_						:Optional[Union[Tuple[float, float], float]] = None   ,       a_						:str = "f32le"   ,       )		->		Optional[Any]:
				if stream_chunk_s is not None:
								__a :						Optional[Any]			       =  stream_chunk_s
				else:
								__a :						Tuple			       =  chunk_length_s

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

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

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

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






def     __A      (			a_						:Tuple   ,       a_						:int)		->		int:
				__a :						int			       =  2**24  # 16Mo
				try:
								with subprocess.Popen(a_   ,       stdout=subprocess.PIPE   ,       bufsize=a_) as ffmpeg_process:
												while True:
																__a :						Optional[Any]			       =  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"""






# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
A 			=  abspath(join(dirname(dirname(dirname(__file__))), '''src'''))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)

def     __A      (			a_						:Tuple)		->		Dict:
				from transformers.testing_utils import pytest_addoption_shared

				pytest_addoption_shared(a_)






def     __A      (			a_						:Any)		->		int:
				from transformers.testing_utils import pytest_terminal_summary_main

				__a :						str			       =  terminalreporter.config.getoption('''--make-reports''')
				if make_reports:
								pytest_terminal_summary_main(a_   ,       id=a_)