




"""simple docstring"""






from __future__ import annotations

from typing import Any






class lowerCAmelCase__	:






			'''simple docstring'''



			def __init__(  self  ,      lowercase  ,      lowercase  ,      lowercase = 0  ):
							_lowerCamelCase, _lowerCamelCase     :			Tuple    =    row, column
							_lowerCamelCase     :			int    =    [[default_value for c in range(lowercase  )] for r in range(lowercase  )]
			def __str__(  self  ):
							_lowerCamelCase     :			Tuple    =    F'''Matrix consist of {self.row} rows and {self.column} columns\n'''

							# Make string identifier
							_lowerCamelCase     :			Optional[int]    =    0
							for row_vector in self.array:
											for obj in row_vector:
															_lowerCamelCase     :			int    =    max(lowercase  ,      len(str(lowercase  )  )  )
							_lowerCamelCase     :			Optional[int]    =    F'''%{max_element_length}s'''

							# Make string and return
							def single_line(lowercase  ) -> str:
											nonlocal string_format_identifier
											_lowerCamelCase     :			int    =    '['
											line += ", ".join(string_format_identifier % (obj,) for obj in row_vector  )
											line += "]"
											return line

							s += "\n".join(single_line(lowercase  ) for row_vector in self.array  )
							return s
			def __repr__(  self  ):
							return str(self  )
			def 					A_    (  self  ,      lowercase  ):
							if not (isinstance(lowercase  ,      (list, tuple)  ) and len(lowercase  ) == 2):
											return False
							elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
											return False
							else:
											return True
			def __getitem__(  self  ,      lowercase  ):
							assert self.validate_indicies(lowercase  )
							return self.array[loc[0]][loc[1]]
			def __setitem__(  self  ,      lowercase  ,      lowercase  ):
							assert self.validate_indicies(lowercase  )
							_lowerCamelCase     :			Dict    =    value
			def __add__(  self  ,      lowercase  ):
							assert isinstance(lowercase  ,      lowercase  )
							assert self.row == another.row and self.column == another.column

							# Add
							_lowerCamelCase     :			Union[str, Any]    =    Matrix(self.row  ,      self.column  )
							for r in range(self.row  ):
											for c in range(self.column  ):
															_lowerCamelCase     :			List[str]    =    self[r, c] + another[r, c]
							return result
			def __neg__(  self  ):
							_lowerCamelCase     :			int    =    Matrix(self.row  ,      self.column  )
							for r in range(self.row  ):
											for c in range(self.column  ):
															_lowerCamelCase     :			List[str]    =    -self[r, c]
							return result
			def __sub__(  self  ,      lowercase  ):
							return self + (-another)
			def __mul__(  self  ,      lowercase  ):

							if isinstance(lowercase  ,      (int, float)  ):  # Scalar multiplication
											_lowerCamelCase     :			int    =    Matrix(self.row  ,      self.column  )
											for r in range(self.row  ):
															for c in range(self.column  ):
																			_lowerCamelCase     :			Optional[Any]    =    self[r, c] * another
											return result
							elif isinstance(lowercase  ,      lowercase  ):  # Matrix multiplication
											assert self.column == another.row
											_lowerCamelCase     :			Dict    =    Matrix(self.row  ,      another.column  )
											for r in range(self.row  ):
															for c in range(another.column  ):
																			for i in range(self.column  ):
																							result[r, c] += self[r, i] * another[i, c]
											return result
							else:
											_lowerCamelCase     :			Optional[int]    =    F'''Unsupported type given for another ({type(lowercase  )})'''
											raise TypeError(lowercase  )
			def 					A_    (  self  ):
							_lowerCamelCase     :			Any    =    Matrix(self.column  ,      self.row  )
							for r in range(self.row  ):
											for c in range(self.column  ):
															_lowerCamelCase     :			Optional[Any]    =    self[r, c]
							return result






			def 					A_    (  self  ,      lowercase  ,      lowercase  ):
							assert isinstance(lowercase  ,      lowercase  ) and isinstance(lowercase  ,      lowercase  )
							assert self.row == self.column == u.row == v.row  # u, v should be column vector
							assert u.column == v.column == 1  # u, v should be column vector

							# Calculate
							_lowerCamelCase     :			Optional[int]    =    v.transpose()
							_lowerCamelCase     :			Tuple    =    (v_t * self * u)[0, 0] + 1
							if numerator_factor == 0:
											return None  # It's not invertable
							return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":







			def      _snake_case			(				):
							# a^(-1)
							_lowerCamelCase     :			Optional[Any]    =    Matrix(3							,    3							,    0		)
							for i in range(3		):
											_lowerCamelCase     :			Optional[Any]    =    1
							print(f'''a^(-1) is {ainv}'''		)
							# u, v
							_lowerCamelCase     :			Tuple    =    Matrix(3							,    1							,    0		)
							_lowerCamelCase, _lowerCamelCase, _lowerCamelCase     :			Optional[int]    =    1, 2, -3
							_lowerCamelCase     :			Union[str, Any]    =    Matrix(3							,    1							,    0		)
							_lowerCamelCase, _lowerCamelCase, _lowerCamelCase     :			Any    =    4, -2, 5
							print(f'''u is {u}'''		)
							print(f'''v is {v}'''		)
							print(f'''uv^T is {u * v.transpose()}'''		)
							# Sherman Morrison
							print(f'''(a + uv^T)^(-1) is {ainv.sherman_morrison(lowercase__							,    lowercase__		)}'''		)







			def      _snake_case			(				):
							import doctest

							doctest.testmod()
			testa()





"""simple docstring"""






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

import numpy as np







def      _snake_case			(				lowercase__							,    lowercase__		):
				_lowerCamelCase     :			Tuple    =    f'''{sampling_rate}'''
				_lowerCamelCase     :			str    =    '1'
				_lowerCamelCase     :			str    =    'f32le'
				_lowerCamelCase     :			Union[str, Any]    =    [
				    'ffmpeg',
				    '-i',
				    'pipe:0',
				    '-ac',
				    ac,
				    '-ar',
				    ar,
				    '-f',
				    format_for_conversion,
				    '-hide_banner',
				    '-loglevel',
				    'quiet',
				    'pipe:1',
				]

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







def      _snake_case			(				lowercase__							,    lowercase__							,    lowercase__ = "f32le"							,    ):
				_lowerCamelCase     :			Optional[Any]    =    f'''{sampling_rate}'''
				_lowerCamelCase     :			List[str]    =    '1'
				if format_for_conversion == "s16le":
								_lowerCamelCase     :			List[str]    =    2
				elif format_for_conversion == "f32le":
								_lowerCamelCase     :			List[Any]    =    4
				else:
								raise ValueError(f'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''		)

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

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







def      _snake_case			(				lowercase__							,    lowercase__							,    lowercase__ = None							,    lowercase__ = None							,    lowercase__ = "f32le"							,    ):
				if stream_chunk_s is not None:
								_lowerCamelCase     :			int    =    stream_chunk_s
				else:
								_lowerCamelCase     :			Optional[Any]    =    chunk_length_s

				_lowerCamelCase     :			Optional[Any]    =    ffmpeg_microphone(lowercase__							,    lowercase__							,    format_for_conversion=lowercase__		)
				if format_for_conversion == "s16le":
								_lowerCamelCase     :			List[str]    =    np.intaa
								_lowerCamelCase     :			str    =    2
				elif format_for_conversion == "f32le":
								_lowerCamelCase     :			Any    =    np.floataa
								_lowerCamelCase     :			List[Any]    =    4
				else:
								raise ValueError(f'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''		)

				if stride_length_s is None:
								_lowerCamelCase     :			Union[str, Any]    =    chunk_length_s / 6
				_lowerCamelCase     :			Optional[int]    =    int(round(sampling_rate * chunk_length_s		)		) * size_of_sample
				if isinstance(lowercase__							,    (int, float)		):
								_lowerCamelCase     :			Any    =    [stride_length_s, stride_length_s]

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







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







def      _snake_case			(				lowercase__							,    lowercase__		):
				_lowerCamelCase     :			int    =    2**24  # 16Mo
				try:
								with subprocess.Popen(lowercase__							,    stdout=subprocess.PIPE							,    bufsize=lowercase__		) as ffmpeg_process:
												while True:
																_lowerCamelCase     :			Optional[Any]    =    ffmpeg_process.stdout.read(lowercase__		)
																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