# Copyright (c) 2015 Matthias Geier
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
"""Play and Record Sound with Python.
http://python-sounddevice.rtfd.org/
"""
__version__ = "0.3.0"
import atexit as _atexit
from cffi import FFI as _FFI
import os as _os
import platform as _platform
import sys as _sys
_ffi = _FFI()
_ffi.cdef("""
int Pa_GetVersion( void );
const char* Pa_GetVersionText( void );
typedef int PaError;
typedef enum PaErrorCode
{
paNoError = 0,
paNotInitialized = -10000,
paUnanticipatedHostError,
paInvalidChannelCount,
paInvalidSampleRate,
paInvalidDevice,
paInvalidFlag,
paSampleFormatNotSupported,
paBadIODeviceCombination,
paInsufficientMemory,
paBufferTooBig,
paBufferTooSmall,
paNullCallback,
paBadStreamPtr,
paTimedOut,
paInternalError,
paDeviceUnavailable,
paIncompatibleHostApiSpecificStreamInfo,
paStreamIsStopped,
paStreamIsNotStopped,
paInputOverflowed,
paOutputUnderflowed,
paHostApiNotFound,
paInvalidHostApi,
paCanNotReadFromACallbackStream,
paCanNotWriteToACallbackStream,
paCanNotReadFromAnOutputOnlyStream,
paCanNotWriteToAnInputOnlyStream,
paIncompatibleStreamHostApi,
paBadBufferPtr
} PaErrorCode;
const char *Pa_GetErrorText( PaError errorCode );
PaError Pa_Initialize( void );
PaError Pa_Terminate( void );
typedef int PaDeviceIndex;
/* not implemented: paNoDevice */
/* not implemented: paUseHostApiSpecificDeviceSpecification */
typedef int PaHostApiIndex;
PaHostApiIndex Pa_GetHostApiCount( void );
PaHostApiIndex Pa_GetDefaultHostApi( void );
typedef enum PaHostApiTypeId
{
paInDevelopment=0,
paDirectSound=1,
paMME=2,
paASIO=3,
paSoundManager=4,
paCoreAudio=5,
paOSS=7,
paALSA=8,
paAL=9,
paBeOS=10,
paWDMKS=11,
paJACK=12,
paWASAPI=13,
paAudioScienceHPI=14
} PaHostApiTypeId;
typedef struct PaHostApiInfo
{
int structVersion;
PaHostApiTypeId type;
const char *name;
int deviceCount;
PaDeviceIndex defaultInputDevice;
PaDeviceIndex defaultOutputDevice;
} PaHostApiInfo;
const PaHostApiInfo * Pa_GetHostApiInfo( PaHostApiIndex hostApi );
PaHostApiIndex Pa_HostApiTypeIdToHostApiIndex( PaHostApiTypeId type );
PaDeviceIndex Pa_HostApiDeviceIndexToDeviceIndex( PaHostApiIndex hostApi,
int hostApiDeviceIndex );
typedef struct PaHostErrorInfo{
PaHostApiTypeId hostApiType;
long errorCode;
const char *errorText;
}PaHostErrorInfo;
const PaHostErrorInfo* Pa_GetLastHostErrorInfo( void );
PaDeviceIndex Pa_GetDeviceCount( void );
PaDeviceIndex Pa_GetDefaultInputDevice( void );
PaDeviceIndex Pa_GetDefaultOutputDevice( void );
typedef double PaTime;
typedef unsigned long PaSampleFormat;
#define paFloat32 0x00000001
#define paInt32 0x00000002
#define paInt24 0x00000004
#define paInt16 0x00000008
#define paInt8 0x00000010
#define paUInt8 0x00000020
#define paCustomFormat 0x00010000
#define paNonInterleaved 0x80000000
typedef struct PaDeviceInfo
{
int structVersion;
const char *name;
PaHostApiIndex hostApi;
int maxInputChannels;
int maxOutputChannels;
PaTime defaultLowInputLatency;
PaTime defaultLowOutputLatency;
PaTime defaultHighInputLatency;
PaTime defaultHighOutputLatency;
double defaultSampleRate;
} PaDeviceInfo;
const PaDeviceInfo* Pa_GetDeviceInfo( PaDeviceIndex device );
typedef struct PaStreamParameters
{
PaDeviceIndex device;
int channelCount;
PaSampleFormat sampleFormat;
PaTime suggestedLatency;
void *hostApiSpecificStreamInfo;
} PaStreamParameters;
/* not implemented: paFormatIsSupported */
/* not implemented: Pa_IsFormatSupported */
typedef void PaStream;
#define paFramesPerBufferUnspecified 0
typedef unsigned long PaStreamFlags;
#define paNoFlag 0
#define paClipOff 0x00000001
#define paDitherOff 0x00000002
#define paNeverDropInput 0x00000004
#define paPrimeOutputBuffersUsingStreamCallback 0x00000008
#define paPlatformSpecificFlags 0xFFFF0000
typedef struct PaStreamCallbackTimeInfo{
PaTime inputBufferAdcTime;
PaTime currentTime;
PaTime outputBufferDacTime;
} PaStreamCallbackTimeInfo;
typedef unsigned long PaStreamCallbackFlags;
#define paInputUnderflow 0x00000001
#define paInputOverflow 0x00000002
#define paOutputUnderflow 0x00000004
#define paOutputOverflow 0x00000008
#define paPrimingOutput 0x00000010
typedef enum PaStreamCallbackResult
{
paContinue=0,
paComplete=1,
paAbort=2
} PaStreamCallbackResult;
typedef int PaStreamCallback(
const void *input, void *output,
unsigned long frameCount,
const PaStreamCallbackTimeInfo* timeInfo,
PaStreamCallbackFlags statusFlags,
void *userData );
PaError Pa_OpenStream( PaStream** stream,
const PaStreamParameters *inputParameters,
const PaStreamParameters *outputParameters,
double sampleRate,
unsigned long framesPerBuffer,
PaStreamFlags streamFlags,
PaStreamCallback *streamCallback,
void *userData );
/* not implemented: Pa_OpenDefaultStream */
PaError Pa_CloseStream( PaStream *stream );
typedef void PaStreamFinishedCallback( void *userData );
PaError Pa_SetStreamFinishedCallback( PaStream *stream,
PaStreamFinishedCallback* streamFinishedCallback );
PaError Pa_StartStream( PaStream *stream );
PaError Pa_StopStream( PaStream *stream );
PaError Pa_AbortStream( PaStream *stream );
PaError Pa_IsStreamStopped( PaStream *stream );
PaError Pa_IsStreamActive( PaStream *stream );
typedef struct PaStreamInfo
{
int structVersion;
PaTime inputLatency;
PaTime outputLatency;
double sampleRate;
} PaStreamInfo;
const PaStreamInfo* Pa_GetStreamInfo( PaStream *stream );
PaTime Pa_GetStreamTime( PaStream *stream );
double Pa_GetStreamCpuLoad( PaStream* stream );
PaError Pa_ReadStream( PaStream* stream,
void *buffer,
unsigned long frames );
PaError Pa_WriteStream( PaStream* stream,
const void *buffer,
unsigned long frames );
signed long Pa_GetStreamReadAvailable( PaStream* stream );
signed long Pa_GetStreamWriteAvailable( PaStream* stream );
/* not implemented: Pa_GetStreamHostApiType */
PaError Pa_GetSampleSize( PaSampleFormat format );
void Pa_Sleep( long msec );
""")
try:
_lib = _ffi.dlopen('portaudio')
except OSError:
if _platform.system() == 'Darwin':
_libname = 'libportaudio.dylib'
elif _platform.system() == 'Windows':
_libname = 'libportaudio' + _platform.architecture()[0] + '.dll'
else:
raise
_lib = _ffi.dlopen(_os.path.join(
_os.path.dirname(_os.path.abspath(__file__)),
'_sounddevice_data',
_libname
))
_sampleformats = {
'float32': _lib.paFloat32,
'int32': _lib.paInt32,
'int24': _lib.paInt24,
'int16': _lib.paInt16,
'int8': _lib.paInt8,
'uint8': _lib.paUInt8,
}
_last_callback = None
[docs]def play(data, samplerate=None, mapping=None, blocking=False, **kwargs):
"""Play back an array of audio data.
Parameters
----------
data : array_like
Audio data to be played back. The columns of a two-dimensional
array are interpreted as channels, one-dimensional arrays are
treated as mono data.
The data types `float64`, `float32`, `int32`, `int16`, `int8`
and `uint8` can be used.
`float64` data is converted to `float32` before passing it to
PortAudio, because it's not supported natively.
mapping : array_like, optional
List of channel numbers (starting with 1) where the columns of
`data` shall be played back on. Must have the same length as
number of channels in `data` (except if `data` is mono).
Each channel may only appear once in `mapping`.
blocking : bool, optional
If ``False`` (the default), return immediately (but playback
continues in the background), if ``True``, wait until playback
is finished. A non-blocking invocation can be stopped with
:func:`stop` or turned into a blocking one with :func:`wait`.
Other Parameters
----------------
samplerate, **kwargs
All parameters of :class:`OutputStream` (except `channels`,
`dtype`, `callback` and `finished_callback`) can be used.
See Also
--------
rec, playrec
"""
ctx = _CallbackContext()
ctx.frames = ctx.check_data(data, mapping)
def callback(outdata, frames, time, status):
assert len(outdata) == frames
ctx.callback_enter(status, outdata)
ctx.write_outdata(outdata)
ctx.callback_exit()
ctx.start_stream(OutputStream, samplerate, ctx.output_channels,
ctx.output_dtype, callback, blocking,
prime_output_buffers_using_stream_callback=False,
**kwargs)
[docs]def rec(frames=None, samplerate=None, channels=None, dtype=None,
out=None, mapping=None, blocking=False, **kwargs):
"""Record audio data.
Parameters
----------
frames : int, sometimes optional
Number of frames to record. Not needed if `out` is given.
channels : int, optional
Number of channels to record. Not needed if `mapping` or `out`
is given. The default value can be changed with
:attr:`default.channels`.
dtype : str or numpy.dtype, optional
Data type of the recording. Not needed if `out` is given.
The data types `float64`, `float32`, `int32`, `int16`, `int8`
and `uint8` can be used. For `dtype='float64'`, audio data is
recorded in `float32` format and converted afterwards, because
it's not natively supported by PortAudio. The default value can
be changed with :attr:`default.dtype`.
mapping : array_like, optional
List of channel numbers (starting with 1) to record.
If `mapping` is given, `channels` is silently ignored.
blocking : bool, optional
If ``False`` (the default), return immediately (but recording
continues in the background), if ``True``, wait until recording
is finished.
A non-blocking invocation can be stopped with :func:`stop` or
turned into a blocking one with :func:`wait`.
Returns
-------
numpy.ndarray or type(out)
The recorded data.
.. note:: By default (``blocking=False``), an array of data is
returned which is still being written to while recording.
The returned data is only valid once recording has stopped.
Use :func:`wait` to make sure the recording is finished.
Other Parameters
----------------
out : numpy.ndarray or subclass, optional
If `out` is specified, the recorded data is written into the
given array instead of creating a new array.
In this case, the arguments `frames`, `channels` and `dtype` are
silently ignored!
If `mapping` is given, its length must match the number of
channels in `out`.
samplerate, **kwargs
All parameters of :class:`InputStream` (except `callback` and
`finished_callback`) can be used.
See Also
--------
play, playrec
"""
ctx = _CallbackContext()
ctx.frames = ctx.check_out(out, frames, channels, dtype, mapping)
def callback(indata, frames, time, status):
assert len(indata) == frames
ctx.callback_enter(status, indata)
ctx.read_indata(indata)
ctx.callback_exit()
ctx.start_stream(InputStream, samplerate, ctx.input_channels,
ctx.input_dtype, callback, blocking, **kwargs)
return ctx.out
[docs]def playrec(data, samplerate=None, channels=None, dtype=None,
out=None, input_mapping=None, output_mapping=None, blocking=False,
**kwargs):
"""Simultaneous playback and recording.
Parameters
----------
data : array_like
Audio data to be played back. See :func:`play`.
channels : int, sometimes optional
Number of input channels, see :func:`rec`.
The number of output channels is obtained from `data.shape`.
dtype : str or numpy.dtype, optional
Input data type, see :func:`rec`.
If `dtype` is not specified, it is taken from `data.dtype`
(i.e. :attr:`default.dtype` is ignored).
The output data type is obtained from `data.dtype` anyway.
input_mapping, output_mapping : array_like, optional
See the parameter `mapping` of :func:`rec` and :func:`play`,
respectively.
blocking : bool, optional
If ``False`` (the default), return immediately (but continue
playback/recording in the background), if ``True``, wait until
playback/recording is finished.
A non-blocking invocation can be stopped with :func:`stop` or
turned into a blocking one with :func:`wait`.
Returns
-------
numpy.ndarray or type(out)
The recorded data. See :func:`rec`.
Other Parameters
----------------
out : numpy.ndarray or subclass, optional
See :func:`rec`.
samplerate, **kwargs
All parameters of :class:`Stream` (except `channels`, `dtype`,
`callback` and `finished_callback`) can be used.
See Also
--------
play, rec
"""
ctx = _CallbackContext()
output_frames = ctx.check_data(data, output_mapping)
if dtype is None:
dtype = data.dtype # ignore module defaults
input_frames = ctx.check_out(out, output_frames, channels, dtype,
input_mapping)
if input_frames != output_frames:
raise PortAudioError("len(data) != len(out)")
ctx.frames = input_frames
def callback(indata, outdata, frames, time, status):
assert len(indata) == len(outdata) == frames
ctx.callback_enter(status, indata)
ctx.read_indata(indata)
ctx.write_outdata(outdata)
ctx.callback_exit()
ctx.start_stream(Stream, samplerate,
(ctx.input_channels, ctx.output_channels),
(ctx.input_dtype, ctx.output_dtype),
callback, blocking,
prime_output_buffers_using_stream_callback=False,
**kwargs)
return ctx.out
[docs]def wait():
"""Wait for :func:`play`/:func:`rec`/:func:`playrec` to be finished.
Playback/recording can be stopped with a :class:`KeyboardInterrupt`.
Returns
-------
CallbackFlags or None
If at least one buffer over-/underrun happened during the last
playback/recording, a :class:`CallbackFlags` object is returned.
See Also
--------
get_status
"""
if _last_callback:
return _last_callback.wait()
[docs]def stop(ignore_errors=True):
"""Stop playback/recording.
This only stops :func:`play`, :func:`rec` and :func:`playrec`, but
has no influence on streams created with :class:`Stream`,
:class:`InputStream`, :class:`OutputStream`, :class:`RawStream`,
:class:`RawInputStream`, :class:`RawOutputStream`.
"""
if _last_callback:
_last_callback.stream.close(ignore_errors)
[docs]def get_status():
"""Get information about over-/underflows in play()/rec()/playrec().
Returns
-------
CallbackFlags
A :class:`CallbackFlags` object that holds information about the
last invocation of :func:`play`, :func:`rec` or :func:`playrec`.
See Also
--------
wait
"""
if _last_callback:
return _last_callback.status
else:
raise RuntimeError("play()/rec()/playrec() was not called yet")
[docs]def query_devices(index=None):
"""Return information about available devices.
Information and capabilities of PortAudio devices.
Devices may support input, output or both input and output.
To find the default device, use :attr:`default.device`.
Parameters
----------
index : int, optional
If specified, information about only the given device `index` is
returned in a single dictionary.
Returns
-------
dict or DeviceList
A dictionary with information about the given device `index` or
-- if no `index` was specified -- a :class:`DeviceList`
containing one dictionary for each available device.
The dictionaries have the following keys:
``'name'``
The name of the device.
``'hostapi'``
The ID of the corresponding host API. Use
:func:`query_hostapis` to get information about a host API.
``'max_input_channels'``, ``'max_output_channels'``
The maximum number of input/output channels supported by the
device. See :attr:`default.channels`.
``'default_low_input_latency'``, ``'default_low_output_latency'``
Default latency values for interactive performance.
This is used if :attr:`default.latency` (or the `latency`
argument of :func:`playrec`, :class:`Stream` etc.) is set to
``'low'``.
``'default_high_input_latency'``, ``'default_high_output_latency'``
Default latency values for robust non-interactive
applications (e.g. playing sound files).
This is used if :attr:`default.latency` (or the `latency`
argument of :func:`playrec`, :class:`Stream` etc.) is set to
``'high'``.
``'default_samplerate'``
The default sampling frequency of the device.
This is used if :attr:`default.samplerate` is not set.
Notes
-----
The list of devices can also be displayed in a terminal:
.. code-block:: sh
python -m sounddevice
Examples
--------
The returned :class:`DeviceList` can be indexed and iterated over
like a normal :class:`tuple` (yielding the abovementioned
dictionaries), but it also has a special string representation which
is shown when used in an interactive Python session.
Each available device is listed on one line together with the
corresponding device ID, which can be assigned to
:attr:`default.device` or used as `device` argument in :func:`play`,
:class:`Stream` etc.
The first character of a line is ``>`` for the default input device,
``<`` for the default output device and ``*`` for the default
input/output device. After the device ID and the device name, the
corresponding host API name is displayed. In the end of each line,
the maximum number of input and output channels is shown.
On a GNU/Linux computer it might look somewhat like this:
>>> import sounddevice as sd
>>> sd.query_devices()
0 HDA Intel: ALC662 rev1 Analog (hw:0,0), ALSA (2 in, 2 out)
1 HDA Intel: ALC662 rev1 Digital (hw:0,1), ALSA (0 in, 2 out)
2 HDA Intel: HDMI 0 (hw:0,3), ALSA (0 in, 8 out)
3 sysdefault, ALSA (128 in, 128 out)
4 front, ALSA (0 in, 2 out)
5 surround40, ALSA (0 in, 2 out)
6 surround51, ALSA (0 in, 2 out)
7 surround71, ALSA (0 in, 2 out)
8 iec958, ALSA (0 in, 2 out)
9 spdif, ALSA (0 in, 2 out)
10 hdmi, ALSA (0 in, 8 out)
* 11 default, ALSA (128 in, 128 out)
12 dmix, ALSA (0 in, 2 out)
13 /dev/dsp, OSS (16 in, 16 out)
Note that ALSA provides access to some "real" and some "virtual"
devices. The latter sometimes have a ridiculously high number of
(virtual) inputs and outputs.
On Mac OS X, you might get something similar to this:
>>> sd.query_devices()
0 Built-in Line Input, Core Audio (2 in, 0 out)
> 1 Built-in Digital Input, Core Audio (2 in, 0 out)
< 2 Built-in Output, Core Audio (0 in, 2 out)
3 Built-in Line Output, Core Audio (0 in, 2 out)
4 Built-in Digital Output, Core Audio (0 in, 2 out)
"""
if index is None:
return DeviceList(query_devices(i)
for i in range(_check(_lib.Pa_GetDeviceCount())))
info = _lib.Pa_GetDeviceInfo(index)
if not info:
raise PortAudioError("Error querying device {0}".format(index))
assert info.structVersion == 2
if info.hostApi == _lib.Pa_HostApiTypeIdToHostApiIndex(_lib.paDirectSound):
encoding = 'mbcs'
else:
encoding = 'utf-8'
return {
'name': _ffi.string(info.name).decode(encoding, 'replace'),
'hostapi': info.hostApi,
'max_input_channels': info.maxInputChannels,
'max_output_channels': info.maxOutputChannels,
'default_low_input_latency': info.defaultLowInputLatency,
'default_low_output_latency': info.defaultLowOutputLatency,
'default_high_input_latency': info.defaultHighInputLatency,
'default_high_output_latency': info.defaultHighOutputLatency,
'default_samplerate': info.defaultSampleRate,
}
[docs]def query_hostapis(index=None):
"""Return information about available host APIs.
Parameters
----------
index : int, optional
If specified, information about only the given host API `index`
is returned in a single dictionary.
Returns
-------
dict or tuple of dict
A dictionary with information about the given host API `index`
or -- if no `index` was specified -- a tuple containing one
dictionary for each available host API.
The dictionaries have the following keys:
``'name'``
The name of the host API.
``'devices'``
A list of device IDs belonging to the host API.
Use :func:`query_devices` to get information about a device.
``'default_input_device'``, ``'default_output_device'``
The device ID of the default input/output device of the host
API. If no default input/output device exists for the given
host API, this is -1.
.. note:: The overall default device(s) -- which can be
overwritten by assigning to :attr:`default.device` --
take(s) precedence over :attr:`default.hostapi` and the
information in the abovementioned dictionaries.
See Also
--------
query_devices
"""
if index is None:
return tuple(query_hostapis(i)
for i in range(_check(_lib.Pa_GetHostApiCount())))
info = _lib.Pa_GetHostApiInfo(index)
if not info:
raise PortAudioError("Error querying host API {0}".format(index))
assert info.structVersion == 1
return {
'name': _ffi.string(info.name).decode(),
'devices': [_lib.Pa_HostApiDeviceIndexToDeviceIndex(index, i)
for i in range(info.deviceCount)],
'default_input_device': info.defaultInputDevice,
'default_output_device': info.defaultOutputDevice,
}
[docs]def sleep(msec):
"""Put the caller to sleep for at least `msec` milliseconds.
The function may sleep longer than requested so don't rely on this
for accurate musical timing.
"""
_lib.Pa_Sleep(msec)
[docs]def get_portaudio_version():
"""Get version information for the PortAudio library.
Returns the release number and a textual description of the current
PortAudio build, e.g. ::
(1899, 'PortAudio V19-devel (built Feb 15 2014 23:28:00)')
"""
return _lib.Pa_GetVersion(), _ffi.string(_lib.Pa_GetVersionText()).decode()
class _StreamBase(object):
"""Base class for Raw{Input,Output}Stream."""
def __init__(self, kind, samplerate, blocksize, device, channels, dtype,
latency, callback_wrapper, finished_callback,
clip_off, dither_off, never_drop_input,
prime_output_buffers_using_stream_callback):
if blocksize is None:
blocksize = default.blocksize
if clip_off is None:
clip_off = default.clip_off
if dither_off is None:
dither_off = default.dither_off
if never_drop_input is None:
never_drop_input = default.never_drop_input
if prime_output_buffers_using_stream_callback is None:
prime_output_buffers_using_stream_callback = \
default.prime_output_buffers_using_stream_callback
stream_flags = _lib.paNoFlag
if clip_off:
stream_flags |= _lib.paClipOff
if dither_off:
stream_flags |= _lib.paDitherOff
if never_drop_input:
stream_flags |= _lib.paNeverDropInput
if prime_output_buffers_using_stream_callback:
stream_flags |= _lib.paPrimeOutputBuffersUsingStreamCallback
if kind == 'duplex':
idevice, odevice = _split(device)
ichannels, ochannels = _split(channels)
idtype, odtype = _split(dtype)
ilatency, olatency = _split(latency)
iparameters, idtype, isize, isamplerate = _get_stream_parameters(
'input', idevice, ichannels, idtype, ilatency, samplerate)
oparameters, odtype, osize, osamplerate = _get_stream_parameters(
'output', odevice, ochannels, odtype, olatency, samplerate)
self._dtype = idtype, odtype
self._device = iparameters.device, oparameters.device
self._channels = iparameters.channelCount, oparameters.channelCount
self._samplesize = isize, osize
if isamplerate != osamplerate:
raise PortAudioError(
"Input and output device must have the same samplerate")
else:
samplerate = isamplerate
else:
parameters, self._dtype, self._samplesize, samplerate = \
_get_stream_parameters(
kind, device, channels, dtype, latency, samplerate)
self._device = parameters.device
self._channels = parameters.channelCount
if kind == 'input':
iparameters = parameters
oparameters = _ffi.NULL
elif kind == 'output':
iparameters = _ffi.NULL
oparameters = parameters
if callback_wrapper:
self._callback = _ffi.callback(
"PaStreamCallback", callback_wrapper, error=_lib.paAbort)
else:
self._callback = _ffi.NULL
self._ptr = _ffi.new("PaStream**")
_check(_lib.Pa_OpenStream(self._ptr, iparameters, oparameters,
samplerate, blocksize, stream_flags,
self._callback, _ffi.NULL),
"Error opening {0}".format(self.__class__.__name__))
# dereference PaStream** --> PaStream*
self._ptr = self._ptr[0]
self._blocksize = blocksize
info = _lib.Pa_GetStreamInfo(self._ptr)
if not info:
raise PortAudioError("Could not obtain stream info")
# TODO: assert info.structVersion == 1
self._samplerate = info.sampleRate
if not oparameters:
self._latency = info.inputLatency
elif not iparameters:
self._latency = info.outputLatency
else:
self._latency = info.inputLatency, info.outputLatency
if finished_callback:
def finished_callback_wrapper(_):
return finished_callback()
self._finished_callback = _ffi.callback(
"PaStreamFinishedCallback", finished_callback_wrapper)
_check(_lib.Pa_SetStreamFinishedCallback(self._ptr,
self._finished_callback))
# Avoid confusion if something goes wrong before assigning self._ptr:
_ptr = _ffi.NULL
@property
def samplerate(self):
"""The sampling frequency in Hertz (= frames per second).
In cases where the hardware sampling frequency is inaccurate and
PortAudio is aware of it, the value of this field may be
different from the `samplerate` parameter passed to
:class:`Stream`. If information about the actual hardware
sampling frequency is not available, this field will have the
same value as the `samplerate` parameter passed to
:class:`Stream`.
"""
return self._samplerate
@property
def blocksize(self):
"""Number of frames per block.
The special value 0 means that the blocksize can change between
blocks. See the `blocksize` argument of :class:`Stream`.
"""
return self._blocksize
@property
def device(self):
"""IDs of the input/output device."""
return self._device
@property
def channels(self):
"""The number of input/output channels."""
return self._channels
@property
def dtype(self):
"""Data type of the audio samples.
See Also
--------
default.dtype, samplesize
"""
return self._dtype
@property
def samplesize(self):
"""The size in bytes of a single sample.
See Also
--------
dtype
"""
return self._samplesize
@property
def latency(self):
"""The input/output latency of the stream in seconds.
This value provides the most accurate estimate of input/output
latency available to the implementation.
It may differ significantly from the `latency` value(s) passed
to :class:`Stream()`.
"""
return self._latency
@property
def active(self):
"""``True`` when the stream is active, ``False`` otherwise.
A stream is active after a successful call to :meth:`start`,
until it becomes inactive either as a result of a call to
:meth:`.stop` or :meth:`abort`, or as a result of an exception
raised in the stream callback.
In the latter case, the stream is considered inactive after the
last buffer has finished playing.
See Also
--------
stopped
"""
return _check(_lib.Pa_IsStreamActive(self._ptr)) == 1
@property
def stopped(self):
"""``True`` when the stream is stopped, ``False`` otherwise.
A stream is considered to be stopped prior to a successful call
to :meth:`start` and after a successful call to :meth:`.stop` or
:meth:`abort`. If a stream callback is cancelled (by raising an
exception) the stream is *not* considered to be stopped.
See Also
--------
active
"""
return _check(_lib.Pa_IsStreamStopped(self._ptr)) == 1
@property
def time(self):
"""The current stream time in seconds.
This is according to the same clock used to generate the
timestamps passed with the `time` argument to the stream
callback (see the `callback` argument of :class:`Stream`).
The time values are monotonically increasing and have
unspecified origin.
This provides valid time values for the entire life of the
stream, from when the stream is opened until it is closed.
Starting and stopping the stream does not affect the passage of
time as provided here.
This time may be used for synchronizing other events to the
audio stream, for example synchronizing audio to MIDI.
"""
time = _lib.Pa_GetStreamTime(self._ptr)
if not time:
raise PortAudioError("Error getting stream time")
return time
@property
def cpu_load(self):
"""CPU usage information for the stream.
The "CPU Load" is a fraction of total CPU time consumed by a
callback stream's audio processing routines including, but not
limited to the client supplied stream callback. This function
does not work with blocking read/write streams.
This may be used in the stream callback function or in the
application.
It provides a floating point value, typically between 0.0 and
1.0, where 1.0 indicates that the stream callback is consuming
the maximum number of CPU cycles possible to maintain real-time
operation. A value of 0.5 would imply that PortAudio and the
stream callback was consuming roughly 50% of the available CPU
time. The value may exceed 1.0. A value of 0.0 will always be
returned for a blocking read/write stream, or if an error
occurs.
"""
return _lib.Pa_GetStreamCpuLoad(self._ptr)
def __del__(self):
"""Close stream at garbage collection."""
self.close()
def __enter__(self):
"""Start the stream in the beginning of a "with" statement."""
self.start()
return self
def __exit__(self, *args):
"""Stop and close the stream when exiting a "with" statement."""
self.stop()
self.close()
def start(self):
"""Commence audio processing.
See Also
--------
stop, abort
"""
err = _lib.Pa_StartStream(self._ptr)
if err != _lib.paStreamIsNotStopped:
_check(err, "Error starting stream")
def stop(self):
"""Terminate audio processing.
This waits until all pending audio buffers have been played
before it returns.
See Also
--------
start, abort
"""
err = _lib.Pa_StopStream(self._ptr)
if err != _lib.paStreamIsStopped:
_check(err, "Error stopping stream")
def abort(self):
"""Terminate audio processing immediately.
This does not wait for pending buffers to complete.
See Also
--------
start, stop
"""
err = _lib.Pa_AbortStream(self._ptr)
if err != _lib.paStreamIsStopped:
_check(err, "Error aborting stream")
def close(self, ignore_errors=True):
"""Close the stream.
If the audio stream is active any pending buffers are discarded
as if :meth:`abort` had been called.
"""
err = _lib.Pa_CloseStream(self._ptr)
if not ignore_errors:
_check(err, "Error closing stream")
[docs]class RawOutputStream(_StreamBase):
"""Raw stream for playback only. See __init__() and RawStream."""
def __init__(self, samplerate=None, blocksize=None,
device=None, channels=None, dtype=None, latency=None,
callback=None, finished_callback=None,
clip_off=None, dither_off=None, never_drop_input=None,
prime_output_buffers_using_stream_callback=None):
"""Open a "raw" output stream.
This is the same as :class:`OutputStream`, except that the
`callback` function and :meth:`~RawStream.write` work on plain
Python buffer objects instead of on NumPy arrays.
NumPy is not necessary to use this.
Parameters
----------
dtype : str
See :class:`RawStream`.
callback : callable
User-supplied function to generate audio data in response to
requests from an active stream.
The callback must have this signature::
callback(outdata: buffer, frames: int,
time: CData, status: CallbackFlags) -> None
The arguments are the same as in the `callback` parameter of
:class:`RawStream`, except that `indata` is missing.
See Also
--------
RawStream, Stream
"""
def callback_wrapper(iptr, optr, frames, time, status, _):
data = _buffer(optr, frames, self._channels, self._samplesize)
return _wrap_callback(callback, data, frames, time, status)
_StreamBase.__init__(
self, 'output', samplerate, blocksize, device, channels, dtype,
latency, callback and callback_wrapper, finished_callback,
clip_off, dither_off, never_drop_input,
prime_output_buffers_using_stream_callback)
@property
def write_available(self):
"""The number of frames that can be written without waiting.
Returns a value representing the maximum number of frames that
can be written to the stream without blocking or busy waiting.
"""
return _check(_lib.Pa_GetStreamWriteAvailable(self._ptr))
def write(self, data):
"""Write samples to the stream.
This function doesn't return until the entire buffer has been
consumed -- this may involve waiting for the operating system to
consume the data.
This is the same as :meth:`Stream.write`, except that it expects
a plain Python buffer object instead of a NumPy array.
NumPy is not necessary to use this.
Parameters
----------
data : buffer or bytes or iterable of int
A buffer of interleaved samples. The buffer contains
samples in the format specified by the `dtype` argument used
to open the stream, and the number of channels specified by
`channels`. The length of the buffer is not constrained to
a specific range, however high performance applications will
want to match this parameter to the `blocksize` parameter
used when opening the stream.
See also :attr:`Stream.samplesize`.
Returns
-------
underflowed : bool
``True`` if additional output data was inserted after the
previous call and before this call.
"""
try:
data = _ffi.from_buffer(data)
except AttributeError:
pass # from_buffer() not supported
except TypeError:
pass # input is not a buffer
_, samplesize = _split(self._samplesize)
_, channels = _split(self._channels)
samples, remainder = divmod(len(data), samplesize)
if remainder:
raise ValueError("len(data) not divisible by samplesize")
frames, remainder = divmod(samples, channels)
if remainder:
raise ValueError("Number of samples not divisible by channels")
err = _lib.Pa_WriteStream(self._ptr, data, frames)
if err == _lib.paOutputUnderflowed:
underflowed = True
else:
_check(err)
underflowed = False
return underflowed
[docs]class RawStream(RawInputStream, RawOutputStream):
"""Raw stream for playback and recording. See __init__()."""
def __init__(self, samplerate=None, blocksize=None,
device=None, channels=None, dtype=None, latency=None,
callback=None, finished_callback=None,
clip_off=None, dither_off=None, never_drop_input=None,
prime_output_buffers_using_stream_callback=None):
"""Open a "raw" input/output stream.
This is the same as :class:`Stream`, except that the `callback`
function and :meth:`read`/:meth:`write` work on plain Python
buffer objects instead of on NumPy arrays.
NumPy is not necessary to use this.
To open "raw" input-only or output-only stream use
:class:`RawInputStream` or :class:`RawOutputStream`,
respectively.
If you want to handle audio data as NumPy arrays instead of
buffer objects, use :class:`Stream`, :class:`InputStream` or
:class:`OutputStream`.
Parameters
----------
dtype : str or pair of str
The sample format of the buffers provided to the stream
callback, :meth:`read` or :meth:`write`.
In addition to the formats supported by :class:`Stream`
(``'float32'``, ``'int32'``, ``'int16'``, ``'int8'``,
``'uint8'``), this also supports ``'int24'``, i.e.
packed 24 bit format.
The default value can be changed with :attr:`default.dtype`.
See also :attr:`Stream.samplesize`.
callback : callable
User-supplied function to consume, process or generate audio
data in response to requests from an active stream.
The callback must have this signature::
callback(indata: buffer, outdata: buffer, frames: int,
time: CData, status: CallbackFlags) -> None
The arguments are the same as in the `callback` parameter of
:class:`Stream`, except that `indata` and `outdata` are
plain Python buffer objects instead of NumPy arrays.
See Also
--------
RawInputStream, RawOutputStream, Stream
"""
def callback_wrapper(iptr, optr, frames, time, status, _):
ichannels, ochannels = self._channels
isize, osize = self._samplesize
idata = _buffer(iptr, frames, ichannels, isize)
odata = _buffer(optr, frames, ochannels, osize)
return _wrap_callback(callback, idata, odata, frames, time, status)
_StreamBase.__init__(
self, 'duplex', samplerate, blocksize, device, channels, dtype,
latency, callback and callback_wrapper, finished_callback,
clip_off, dither_off, never_drop_input,
prime_output_buffers_using_stream_callback)
[docs]class OutputStream(RawOutputStream):
"""Stream for output only. See __init__() and Stream."""
def __init__(self, samplerate=None, blocksize=None,
device=None, channels=None, dtype=None, latency=None,
callback=None, finished_callback=None,
clip_off=None, dither_off=None, never_drop_input=None,
prime_output_buffers_using_stream_callback=None):
"""Open an output stream.
This has the same methods and attributes as :class:`Stream`,
except :meth:`~Stream.read` and :attr:`~Stream.read_available`.
Furthermore, the stream callback is expected to have a different
signature (see below).
Parameters
----------
callback : callable
User-supplied function to generate audio data in response to
requests from an active stream.
The callback must have this signature::
callback(outdata: numpy.ndarray, frames: int,
time: CData, status: CallbackFlags) -> None
The arguments are the same as in the `callback` parameter of
:class:`Stream`, except that `indata` is missing.
See Also
--------
Stream, RawOutputStream
"""
def callback_wrapper(iptr, optr, frames, time, status, _):
buffer = _buffer(optr, frames, self._channels, self._samplesize)
data = _array(buffer, self._channels, self._dtype)
return _wrap_callback(callback, data, frames, time, status)
_StreamBase.__init__(
self, 'output', samplerate, blocksize, device, channels, dtype,
latency, callback and callback_wrapper, finished_callback,
clip_off, dither_off, never_drop_input,
prime_output_buffers_using_stream_callback)
def write(self, data):
"""Write samples to the stream.
This function doesn't return until the entire buffer has been
consumed -- this may involve waiting for the operating system to
consume the data.
This is the same as :meth:`RawStream.write`, except that it
expects a NumPy array instead of a plain Python buffer object.
Parameters
----------
data : array_like
A two-dimensional array-like object with one column per
channel (i.e. with a shape of `(frames, channels)`) and
with a data type specified by :attr:`dtype`.
A one-dimensional array can be used for mono data.
The array layout must be C-contiguous (see
:func:`numpy.ascontiguousarray`).
The length of the buffer is not constrained to a specific
range, however high performance applications will want to
match this parameter to the `blocksize` parameter used when
opening the stream.
Returns
-------
underflowed : bool
``True`` if additional output data was inserted after the
previous call and before this call.
"""
import numpy as np
data = np.asarray(data)
_, dtype = _split(self._dtype)
_, channels = _split(self._channels)
if data.ndim > 1 and data.shape[1] != channels:
raise ValueError("Number of channels must match")
if data.dtype != dtype:
raise TypeError("dtype mismatch: {0!r} vs {1!r}".format(
data.dtype.name, dtype))
if not data.flags.c_contiguous:
raise TypeError("data must be C-contiguous")
return RawOutputStream.write(self, data)
[docs]class Stream(InputStream, OutputStream):
"""Stream for input and output. See __init__()."""
def __init__(self, samplerate=None, blocksize=None,
device=None, channels=None, dtype=None, latency=None,
callback=None, finished_callback=None,
clip_off=None, dither_off=None, never_drop_input=None,
prime_output_buffers_using_stream_callback=None):
"""Open a stream for input and output.
To open an input-only or output-only stream use
:class:`InputStream` or :class:`OutputStream`, respectively.
If you want to handle audio data as buffer objects instead of
NumPy arrays, use :class:`RawStream`, :class:`RawInputStream` or
:class:`RawOutputStream`.
A single stream can provide multiple channels of real-time
streaming audio input and output to a client application. A
stream provides access to audio hardware represented by one or
more devices. Depending on the underlying Host API, it may be
possible to open multiple streams using the same device, however
this behavior is implementation defined. Portable applications
should assume that a device may be simultaneously used by at
most one stream.
The arguments `device`, `channels`, `dtype` and `latency` can be
either single values (which will be used for both input and
output parameters) or pairs of values (where the first one is
the value for the input and the second one for the output).
All arguments are optional, the values for unspecified
parameters are taken from the :attr:`default` object.
If one of the values of a parameter pair is ``None``, the
corresponding value from :attr:`default` will be used instead.
The created stream is inactive (see :attr:`active`,
:attr:`stopped`). It can be started with :meth:`start`.
Every stream object is also a
:ref:`context manager <python:context-managers>`, i.e. it can be
used in a :ref:`with statement <python:with>` to automatically
call :meth:`start` in the beginning of the statement and
:meth:`stop` and :meth:`close` on exit.
Parameters
----------
samplerate : float, optional
The desired sampling frequency (for both input and output).
The default value can be changed with
:attr:`default.samplerate`.
blocksize : int, optional
The number of frames passed to the stream callback function,
or the preferred block granularity for a blocking read/write
stream.
The special value `blocksize=0` (which is the default) may
be used to request that the stream callback will receive an
optimal (and possibly varying) number of frames based on
host requirements and the requested latency settings.
The default value can be changed with
:attr:`default.blocksize`.
.. note:: With some host APIs, the use of non-zero
`blocksize` for a callback stream may introduce an
additional layer of buffering which could introduce
additional latency. PortAudio guarantees that the
additional latency will be kept to the theoretical
minimum however, it is strongly recommended that a
non-zero `blocksize` value only be used when your
algorithm requires a fixed number of frames per stream
callback.
device : int or str or pair thereof, optional
Device index(es) or query string(s) specifying the device(s)
to be used. The default value(s) can be changed with
:attr:`default.device`.
channels : int or pair of int, optional
The number of channels of sound to be delivered to the
stream callback or accessed by :meth:`read` or
:meth:`write`. It can range from 1 to the value of
``'max_input_channels'``/``'max_output_channels'`` in the
dict returned by :func:`query_devices`.
By default, the maximum possible number of channels for the
selected device is used (which may not be what you want; see
:func:`query_devices`). The default value(s) can be changed
with :attr:`default.channels`.
dtype : str or numpy.dtype or pair thereof, optional
The sample format of the :class:`numpy.ndarray` provided to
the stream callback, :meth:`read` or :meth:`write`.
It may be any of `float32`, `int32`, `int16`, `int8`,
`uint8`. See :class:`numpy.dtype`.
The `float64` data type is not supported, this is only
supported for convenience in
:func:`play`/:func:`rec`/:func:`playrec`.
The packed 24 bit format ``'int24'`` is only supported in
the "raw" stream classes, see :class:`RawStream`. The
default value(s) can be changed with :attr:`default.dtype`.
latency : float or {'low', 'high'} or pair thereof, optional
The desired latency in seconds. The special values
``'low'`` and ``'high'`` (latter being the default) select
the default low and high latency, respectively (see
:func:`query_devices`). The default value(s) can be changed
with :attr:`default.latency`.
Where practical, implementations should configure their
latency based on this parameter, otherwise they may choose
the closest viable latency instead. Unless the suggested
latency is greater than the absolute upper limit for the
device, implementations should round the `latency` up to the
next practical value -- i.e. to provide an equal or higher
latency wherever possible. Actual latency values for an
open stream may be retrieved using the :attr:`latency`
attribute.
callback : callable, optional
User-supplied function to consume, process or generate audio
data in response to requests from an :attr:`active` stream.
When a stream is running, PortAudio calls the stream
callback periodically. The callback function is responsible
for processing and filling input and output buffers,
respectively.
If no `callback` is given, the stream will be opened in
"blocking read/write" mode. In blocking mode, the client
can receive sample data using :meth:`read` and write sample
data using :meth:`write`, the number of frames that may be
read or written without blocking is returned by
:attr:`read_available` and :attr:`write_available`,
respectively.
The callback must have this signature::
callback(indata: ndarray, outdata: ndarray, frames: int,
time: CData, status: CallbackFlags) -> None
The first and second argument are the input and output
buffer, respectively, as two-dimensional
:class:`numpy.ndarray` with one column per channel (i.e.
with a shape of *(frames, channels)*) and with a data type
specified by :attr:`dtype`.
The output buffer contains uninitialized data and the
`callback` is supposed to fill it with proper audio data.
If no data is available, the buffer should be filled with
zeros (e.g. by using ``outdata.fill(0)``).
.. note:: In Python, assigning to an identifier merely
re-binds the identifier to another object, so this *will
not work* as expected::
outdata = my_data # Don't do this!
To actually assign data to the buffer itself, you can use
indexing, e.g.::
outdata[:] = my_data
... which fills the whole buffer, or::
outdata[:, 1] = my_channel_data
... which only fills one channel.
The third argument holds the number of frames to be
processed by the stream callback. This is the same as the
length of the input and output buffers.
The forth argument provides a CFFI structure with
timestamps indicating the ADC capture time of the first
sample in the input buffer (`time.inputBufferAdcTime`), the
DAC output time of the first sample in the output buffer
(`time.outputBufferDacTime`) and the time the callback was
invoked (`time.currentTime`).
These time values are expressed in seconds and are
synchronised with the time base used by :attr:`time` for the
associated stream.
The fifth argument is a :class:`CallbackFlags` instance
indicating whether input and/or output buffers have been
inserted or will be dropped to overcome underflow or
overflow conditions.
If an exception is raised in the `callback`, it will not be
called again.
If :class:`CallbackAbort` is raised, the stream will finish
as soon as possible. If :class:`CallbackStop` is raised,
the stream will continue until all buffers generated by the
callback have been played. This may be useful in
applications such as soundfile players where a specific
duration of output is required.
If another exception is raised, its traceback is printed to
:obj:`sys.stderr`.
Exceptions are *not* propagated to the main thread, i.e. the
main Python program keeps running as if nothing had
happened.
.. note:: The `callback` must always fill the entire output
buffer, no matter if or which exceptions are raised.
If no exception is raised in the `callback`, it
automatically continues to be called until :meth:`.stop`,
:meth:`abort` or :meth:`close` are used to stop the stream.
The PortAudio stream callback runs at very high or real-time
priority. It is required to consistently meet its time
deadlines. Do not allocate memory, access the file system,
call library functions or call other functions from the
stream callback that may block or take an unpredictable
amount of time to complete. With the exception of
:attr:`cpu_load` it is not permissible to call PortAudio API
functions from within the stream callback.
In order for a stream to maintain glitch-free operation the
callback must consume and return audio data faster than it
is recorded and/or played. PortAudio anticipates that each
callback invocation may execute for a duration approaching
the duration of `frames` audio frames at the stream's
sampling frequency. It is reasonable to expect to be able
to utilise 70% or more of the available CPU time in the
PortAudio callback. However, due to buffer size adaption
and other factors, not all host APIs are able to guarantee
audio stability under heavy CPU load with arbitrary fixed
callback buffer sizes. When high callback CPU utilisation
is required the most robust behavior can be achieved by
using `blocksize=0`.
finished_callback : callable, optional
User-supplied function which will be called when the stream
becomes inactive (i.e. once a call to :meth:`.stop` will not
block).
A stream will become inactive after the stream callback
raises an exception or when :meth:`.stop` or :meth:`.abort`
is called. For a stream providing audio output, if the
stream callback raises :class:`CallbackStop`, or
:meth:`.stop` is called, the stream finished callback will
not be called until all generated sample data has been
played. The callback must have this signature::
finished_callback() -> None
clip_off : bool, optional
See :attr:`default.clip_off`.
dither_off : bool, optional
See :attr:`default.dither_off`.
never_drop_input : bool, optional
See :attr:`default.never_drop_input`.
prime_output_buffers_using_stream_callback : bool, optional
See :attr:`default.prime_output_buffers_using_stream_callback`.
"""
def callback_wrapper(iptr, optr, frames, time, status, _):
ichannels, ochannels = self._channels
idtype, odtype = self._dtype
isize, osize = self._samplesize
ibuffer = _buffer(iptr, frames, ichannels, isize)
obuffer = _buffer(optr, frames, ochannels, osize)
idata = _array(ibuffer, ichannels, idtype)
odata = _array(obuffer, ochannels, odtype)
return _wrap_callback(callback, idata, odata, frames, time, status)
_StreamBase.__init__(
self, 'duplex', samplerate, blocksize, device, channels, dtype,
latency, callback and callback_wrapper, finished_callback,
clip_off, dither_off, never_drop_input,
prime_output_buffers_using_stream_callback)
[docs]class DeviceList(tuple):
"""A list with information about all available audio devices.
This class is not meant to be instantiated by the user.
Instead, it is returned by :func:`query_devices`.
It contains a dictionary for each available device, holding the keys
described in :func:`query_devices`.
This class has a special string representation that is shown as
return value of :func:`query_devices` if used in an interactive
Python session and it can be otherwise obtained with :func:`repr`
and :class:`str() <str>`.
"""
__slots__ = ()
def __repr__(self):
idev, odev = [
dev if isinstance(dev, int) else _find_device_id(kind, dev)
for kind, dev in zip(('input', 'output'), default.device)
]
digits = len(str(_lib.Pa_GetDeviceCount() - 1))
hostapi_names = [hostapi['name'] for hostapi in query_hostapis()]
return '\n'.join(
"{mark} {idx:{dig}} {name}, {ha} ({ins} in, {outs} out)".format(
mark=(" ", ">", "<", "*")[(idx == idev) + 2 * (idx == odev)],
idx=idx,
dig=digits,
name=info['name'],
ha=hostapi_names[info['hostapi']],
ins=info['max_input_channels'],
outs=info['max_output_channels'])
for idx, info in enumerate(self))
[docs]class CallbackFlags(object):
"""Flag bits for the `status` argument to a stream `callback`.
See Also
--------
Stream
Examples
--------
This can be used to collect the errors of multiple `status` objects:
>>> import sounddevice as sd
>>> errors = sd.CallbackFlags()
>>> errors |= status1
>>> errors |= status2
>>> errors |= status3
>>> # and so on ...
>>> errors.input_overflow
True
"""
__slots__ = '_flags'
def __init__(self, flags=0x0):
self._flags = flags
def __repr__(self):
flags = str(self)
if not flags:
flags = "no flags set"
return "<sounddevice.CallbackFlags: {0}>".format(flags)
def __str__(self):
return ", ".join(name.replace('_', ' ') for name in dir(self)
if not name.startswith('_') and getattr(self, name))
def __bool__(self):
return bool(self._flags)
__nonzero__ = __bool__ # For Python 2.x
def __ior__(self, other):
if not isinstance(other, CallbackFlags):
return NotImplemented
self._flags |= other._flags
return self
@property
def input_underflow(self):
"""Input underflow.
In a stream opened with `blocksize=0`, indicates that input data
is all silence (zeros) because no real data is available. In a
stream opened with a non-zero `blocksize`, it indicates that one
or more zero samples have been inserted into the input buffer to
compensate for an input underflow.
"""
return self._hasflag(_lib.paInputUnderflow)
@property
def input_overflow(self):
"""Input overflow.
In a stream opened with `blocksize=0`, indicates that data prior
to the first sample of the input buffer was discarded due to an
overflow, possibly because the stream callback is using too much
CPU time. Otherwise indicates that data prior to one or more
samples in the input buffer was discarded.
"""
return self._hasflag(_lib.paInputOverflow)
@property
def output_underflow(self):
"""Output underflow.
Indicates that output data (or a gap) was inserted, possibly
because the stream callback is using too much CPU time.
"""
return self._hasflag(_lib.paOutputUnderflow)
@property
def output_overflow(self):
"""Output overflow.
Indicates that output data will be discarded because no room is
available.
"""
return self._hasflag(_lib.paOutputOverflow)
@property
def priming_output(self):
"""Priming output.
Some of all of the output data will be used to prime the stream,
input data may be zero.
"""
return self._hasflag(_lib.paPrimingOutput)
def _hasflag(self, flag):
"""Helper function to check a given flag."""
return bool(self._flags & flag)
class _InputOutputPair(object):
"""Parameter pairs for device, channels, dtype and latency."""
_indexmapping = {'input': 0, 'output': 1}
def __init__(self, parent, default_attr):
self._pair = [None, None]
self._parent = parent
self._default_attr = default_attr
def __getitem__(self, index):
index = self._indexmapping.get(index, index)
value = self._pair[index]
if value is None:
value = getattr(self._parent, self._default_attr)[index]
return value
def __setitem__(self, index, value):
index = self._indexmapping.get(index, index)
self._pair[index] = value
def __repr__(self):
return "[{0[0]!r}, {0[1]!r}]".format(self)
[docs]class default(object):
"""Get/set defaults for the `sounddevice` module.
The attributes :attr:`device`, :attr:`channels`, :attr:`dtype` and
:attr:`latency` accept single values which specify the given
property for both input and output.
However, if the property differs between input and output, pairs of
values can be used, where the first value specifies the input and
the second value specifies the output.
All other attributes are always single values.
Examples
--------
>>> import sounddevice as sd
>>> sd.default.samplerate = 48000
>>> sd.default.dtype
['float32', 'float32']
Different values for input and output:
>>> sd.default.channels = 1, 2
A single value sets both input and output at the same time:
>>> sd.default.device = 5
>>> sd.default.device
[5, 5]
An attribute can be set to the "factory default" by assigning
``None``:
>>> sd.default.samplerate = None
>>> sd.default.device = None, 4
Use :meth:`reset` to reset all attributes:
>>> sd.default.reset()
"""
# The class attributes device, channels, dtype and latency are only
# provided here for static analysis tools and for the docs.
# They're overwritten in __init__().
device = None, None
"""Index or query string of default input/output device.
If not overwritten, this is queried from PortAudio.
If a string is given, the device is selected which contains all
space-separated parts in the right order. Each device string
contains the name of the corresponding host API in the end.
The string comparison is case-insensitive.
See Also
--------
:func:`query_devices`
"""
channels = _default_channels = None, None
"""Number of input/output channels.
The maximum number of channels for a given device can be found out
with :func:`query_devices`.
"""
dtype = _default_dtype = 'float32', 'float32'
"""Data type used for input/output samples.
The types ``'float32'``, ``'int32'``, ``'int16'``, ``'int8'`` and
``'uint8'`` can be used for all streams and functions.
Additionally, :func:`play`, :func:`rec` and :func:`playrec` support
``'float64'`` (for convenience, data is merely converted from/to
``'float32'``) and :class:`RawInputStream`, :class:`RawOutputStream`
and :class:`RawStream` support ``'int24'`` (packed 24 bit format --
*not* supported in NumPy!).
If NumPy is available, the corresponding :class:`numpy.dtype`
objects can be used as well.
The floating point representations ``'float32'`` and ``'float64'``
use +1.0 and -1.0 as the maximum and minimum values, respectively.
``'uint8'`` is an unsigned 8 bit format where 128 is considered
"ground".
"""
latency = _default_latency = 'high', 'high'
"""Suggested input/output latency in seconds.
The special values ``'low'`` and ``'high'`` can be used to select
the default low/high latency of the chosen device.
``'high'`` is typically more robust (i.e. buffer under-/overflows
are less likely), but the latency may be too large for interactive
applications.
See Also
--------
:func:`query_devices`
"""
samplerate = None
"""Sampling frequency in Hertz (= frames per second).
See Also
--------
:func:`query_devices`
"""
blocksize = _lib.paFramesPerBufferUnspecified
"""See the `blocksize` argument of :class:`Stream`."""
clip_off = False
"""Disable clipping.
Set to ``True`` to disable default clipping of out of range samples.
"""
dither_off = False
"""Disable dithering.
Set to ``True`` to disable default dithering.
"""
never_drop_input = False
"""Set behavior for input overflow of full-duplex streams.
Set to ``True`` to request that where possible a full duplex stream
will not discard overflowed input samples without calling the stream
callback. This flag is only valid for full-duplex callback streams
(i.e. only :class:`Stream` and :class:`RawStream` and only if
`callback` was specified; this includes :func:`playrec`) and only
when used in combination with `blocksize=0` (the default). Using
this flag incorrectly results in an error being raised.
"""
prime_output_buffers_using_stream_callback = False
"""How to fill initial output buffers.
Set to ``True`` to call the stream callback to fill initial output
buffers, rather than the default behavior of priming the buffers
with zeros (silence). This flag has no effect for input-only
(:class:`InputStream` and :class:`RawInputStream`) and blocking
read/write streams (i.e. if `callback` wasn't specified).
"""
def __init__(self):
# __setattr__() must be avoided here
vars(self)['device'] = _InputOutputPair(self, '_default_device')
vars(self)['channels'] = _InputOutputPair(self, '_default_channels')
vars(self)['dtype'] = _InputOutputPair(self, '_default_dtype')
vars(self)['latency'] = _InputOutputPair(self, '_default_latency')
def __setattr__(self, name, value):
"""Only allow setting existing attributes."""
if name in ('device', 'channels', 'dtype', 'latency'):
getattr(self, name)._pair[:] = _split(value)
elif name in dir(self) and name != 'reset':
object.__setattr__(self, name, value)
else:
raise AttributeError(
"'default' object has no attribute " + repr(name))
@property
def _default_device(self):
return (_lib.Pa_GetDefaultInputDevice(),
_lib.Pa_GetDefaultOutputDevice())
@property
def hostapi(self):
"""Index of the default host API (read-only)."""
return _check(_lib.Pa_GetDefaultHostApi())
[docs] def reset(self):
"""Reset all attributes to their "factory default"."""
self.__dict__ = {}
self.__init__()
if not hasattr(_ffi, 'I_AM_FAKE'):
# This object shadows the 'default' class, except when building the docs.
default = default()
[docs]class PortAudioError(Exception):
"""This exception will be raised on PortAudio errors."""
pass
[docs]class CallbackStop(Exception):
"""Exception to be raised by the user to stop callback processing.
If this is raised in the stream callback, the callback will not be
invoked anymore (but all pending audio buffers will be played).
See Also
--------
CallbackAbort, :meth:`Stream.stop`, Stream
"""
pass
[docs]class CallbackAbort(Exception):
"""Exception to be raised by the user to abort callback processing.
If this is raised in the stream callback, all pending buffers are
discarded and the callback will not be invoked anymore.
See Also
--------
CallbackStop, :meth:`Stream.abort`, Stream
"""
pass
class _CallbackContext(object):
"""Helper class for re-use in play()/rec()/playrec() callbacks."""
blocksize = None
data = None
frame = 0
input_channels = output_channels = None
input_dtype = output_dtype = None
input_mapping = output_mapping = None
silent_channels = None
def __init__(self):
import threading
try:
import numpy
assert numpy # avoid "imported but unused" message (W0611)
except ImportError:
raise ImportError(
"NumPy must be installed for play()/rec()/playrec()")
self.event = threading.Event()
self.status = CallbackFlags()
def check_data(self, data, mapping):
"""Check data and output mapping."""
import numpy as np
data = np.asarray(data)
if data.ndim < 2:
data = data.reshape(-1, 1)
frames, channels = data.shape
dtype = _check_dtype(data.dtype)
mapping, channels = _check_mapping(mapping, channels)
if data.shape[1] == 1:
pass # No problem, mono data is duplicated into arbitrary channels
elif data.shape[1] != len(mapping):
raise ValueError(
"number of output channels != size of output mapping")
silent_channels = np.setdiff1d(np.arange(channels), mapping)
if len(mapping) + len(silent_channels) != channels:
raise ValueError("each channel may only appear once in mapping")
self.data = data
self.output_channels = channels
self.output_dtype = dtype
self.output_mapping = mapping
self.silent_channels = silent_channels
return frames
def check_out(self, out, frames, channels, dtype, mapping):
"""Check out, frames, channels, dtype and mapping."""
import numpy as np
if out is None:
if frames is None:
raise TypeError("frames must be specified")
if channels is None:
channels = default.channels['input']
if channels is None:
if mapping is None:
raise TypeError(
"Unable to determine number of input channels")
else:
channels = len(np.atleast_1d(mapping))
if dtype is None:
dtype = default.dtype['input']
out = np.empty((frames, channels), dtype, order='C')
else:
frames, channels = out.shape
dtype = out.dtype
dtype = _check_dtype(dtype)
mapping, channels = _check_mapping(mapping, channels)
if out.shape[1] != len(mapping):
raise ValueError(
"number of input channels != size of input mapping")
self.out = out
self.input_channels = channels
self.input_dtype = dtype
self.input_mapping = mapping
return frames
def callback_enter(self, status, data):
"""Check status and blocksize."""
self.status |= status
self.blocksize = min(self.frames - self.frame, len(data))
def read_indata(self, indata):
# We manually iterate over each channel in mapping because
# numpy.take(..., out=...) has a bug:
# https://github.com/numpy/numpy/pull/4246.
# Note: using indata[:blocksize, mapping] (a.k.a. 'fancy' indexing)
# would create unwanted copies (and probably memory allocations).
for target, source in enumerate(self.input_mapping):
# If out.dtype is 'float64', 'float32' data is "upgraded" here:
self.out[self.frame:self.frame + self.blocksize, target] = \
indata[:self.blocksize, source]
def write_outdata(self, outdata):
# 'float64' data is cast to 'float32' here:
outdata[:self.blocksize, self.output_mapping] = \
self.data[self.frame:self.frame + self.blocksize]
outdata[:self.blocksize, self.silent_channels] = 0
outdata[self.blocksize:] = 0
def callback_exit(self):
if not self.blocksize:
raise CallbackAbort
self.frame += self.blocksize
def finished_callback(self):
self.event.set()
def start_stream(self, StreamClass, samplerate, channels, dtype, callback,
blocking, **kwargs):
stop() # Stop previous playback/recording
self.stream = StreamClass(samplerate=samplerate,
channels=channels,
dtype=dtype,
callback=callback,
finished_callback=self.finished_callback,
**kwargs)
self.stream.start()
global _last_callback
_last_callback = self
if blocking:
self.wait()
def wait(self):
"""Wait for finished_callback.
Can be interrupted with a KeyboardInterrupt.
"""
try:
self.event.wait()
finally:
self.stream.close()
return self.status if self.status else None
def _check_mapping(mapping, channels):
"""Check mapping, obtain channels."""
import numpy as np
if mapping is None:
mapping = np.arange(channels)
else:
mapping = np.atleast_1d(mapping)
if mapping.min() < 1:
raise ValueError("channel numbers must not be < 1")
channels = mapping.max()
mapping -= 1 # channel numbers start with 1
return mapping, channels
def _check_dtype(dtype):
"""Check dtype."""
import numpy as np
dtype = np.dtype(dtype).name
if dtype in _sampleformats:
pass
elif dtype == 'float64':
dtype = 'float32'
else:
raise TypeError("Unsupported data type: " + repr(dtype))
return dtype
def _get_stream_parameters(kind, device, channels, dtype, latency, samplerate):
"""Get parameters for one direction (input or output) of a stream."""
if device is None:
device = default.device[kind]
if channels is None:
channels = default.channels[kind]
if dtype is None:
dtype = default.dtype[kind]
if latency is None:
latency = default.latency[kind]
if samplerate is None:
samplerate = default.samplerate
if not isinstance(device, int):
device = _find_device_id(kind, device, raise_on_error=True)
info = query_devices(device)
if channels is None:
channels = info['max_' + kind + '_channels']
try:
# If NumPy is available, get canonical dtype name
dtype = _sys.modules['numpy'].dtype(dtype).name
except Exception:
pass # NumPy not available or invalid dtype (e.g. 'int24') or ...
try:
sampleformat = _sampleformats[dtype]
except KeyError:
raise ValueError("Invalid " + kind + " sample format")
samplesize = _check(_lib.Pa_GetSampleSize(sampleformat))
if latency in ('low', 'high'):
latency = info['default_' + latency + '_' + kind + '_latency']
if samplerate is None:
samplerate = info['default_samplerate']
parameters = _ffi.new(
"PaStreamParameters*",
(device, channels, sampleformat, latency, _ffi.NULL))
return parameters, dtype, samplesize, samplerate
def _wrap_callback(callback, *args):
"""Invoke callback function and check for custom exceptions."""
args = args[:-1] + (CallbackFlags(args[-1]),)
try:
callback(*args)
except CallbackStop:
return _lib.paComplete
except CallbackAbort:
return _lib.paAbort
return _lib.paContinue
def _buffer(ptr, frames, channels, samplesize):
"""Create a buffer object from a pointer to some memory."""
return _ffi.buffer(ptr, frames * channels * samplesize)
def _array(buffer, channels, dtype):
"""Create NumPy array from a buffer object."""
import numpy as np
data = np.frombuffer(buffer, dtype=dtype)
data.shape = -1, channels
return data
def _split(value):
"""Split input/output value into two values."""
if isinstance(value, str):
# iterable, but not meant for splitting
return value, value
try:
invalue, outvalue = value
except TypeError:
invalue = outvalue = value
except ValueError:
raise ValueError("Only single values and pairs are allowed")
return invalue, outvalue
def _check(err, msg=""):
"""Raise error for non-zero error codes."""
if err < 0:
msg += ": " if msg else ""
if err == _lib.paUnanticipatedHostError:
info = _lib.Pa_GetLastHostErrorInfo()
hostapi = _lib.Pa_HostApiTypeIdToHostApiIndex(info.hostApiType)
msg += "Unanticipated host API {0} error {1}: {2!r}".format(
hostapi, info.errorCode, _ffi.string(info.errorText).decode())
else:
msg += _ffi.string(_lib.Pa_GetErrorText(err)).decode()
raise PortAudioError(msg)
return err
def _find_device_id(kind, device, raise_on_error=False):
"""Return device ID given space-separated substrings."""
device_list = []
for i, info in enumerate(query_devices()):
if info['max_' + kind + '_channels'] > 0:
hostapi_info = query_hostapis(info['hostapi'])
name = info['name'] + ', ' + hostapi_info['name']
device_list.append((i, name))
substrings = device.lower().split()
matches = []
for i, device_string in device_list:
lowercase_device_string = device_string.lower()
pos = 0
for substring in substrings:
pos = lowercase_device_string.find(substring, pos)
if pos < 0:
break
pos += len(substring)
else:
matches.append((i, device_string))
if not matches:
if raise_on_error:
raise ValueError("No " + kind + " device matching " + repr(device))
else:
return -1
if len(matches) > 1:
if raise_on_error:
raise ValueError(
"Multiple " + kind + " devices found for " + repr(device) +
": " + '; '.join('[{0}] {1}'.format(id, name)
for id, name in matches))
else:
return -1
return matches[0][0]
def _initialize():
"""Initialize PortAudio."""
_check(_lib.Pa_Initialize(), "Error initializing PortAudio")
_atexit.register(_lib.Pa_Terminate)
def _terminate():
"""Terminate PortAudio."""
_atexit.unregister(_lib.Pa_Terminate)
_check(_lib.Pa_Terminate(), "Error terminating PortAudio")
_initialize()
if __name__ == '__main__':
print(query_devices())