[PyQt] pyqt4 amd multiprocessing
Lic. José M. Rodriguez Bacallao
jmrbcu at gmail.com
Mon May 9 15:26:23 BST 2011
a dummy question, is possible, simple and fast to send a big array of
integer, floats, etc, lets say, a 512x512x1500 array of unsigned int
using hdf5 from one process to another?
On Mon, May 9, 2011 at 10:16 AM, Belzile Marc-André <mabxsi at hotmail.com> wrote:
> Indeed, QProcess is meant to run external python scripts, which allows
> python to run one script per available core.
> e.g.
> p = QProcess('myscript.py "data"' )
> p.start()
> Look at the following files for a more an in-depth example:
> http://code.google.com/p/ice-cache-explorer/source/browse/trunk/process_pool.py
> http://code.google.com/p/ice-cache-explorer/source/browse/trunk/loader_process.py
> http://code.google.com/p/ice-cache-explorer/source/browse/trunk/iceloader.py
>
> I'm using the H5py module for dealing with HDF5 files, it has nice support
> for numpy and easy to use. You can also use pytable which is also a popular
> choice.
> -mab
> "The world goin' one way, people another!" - Poot
>
>
>
>> Date: Mon, 9 May 2011 09:46:43 -0400
>> Subject: Re: [PyQt] pyqt4 amd multiprocessing
>> From: jmrbcu at gmail.com
>> To: mabxsi at hotmail.com
>> CC: sam.carcagno at gmail.com; pyqt at riverbankcomputing.com
>>
>> sound interesting but, how do you use QProcess, what I have read about
>> it is that this class is for executing external applications (yes,
>> processes), how to use QProcess in a pool. Could you tell me more
>> about HDF5, for example, how do you use it with python. My dataset
>> could be very big (or what I think is big), for example, a serie of
>> 1500 dicom images so I think that HDF5 could be useful to me.
>>
>> On Mon, May 9, 2011 at 9:24 AM, Belzile Marc-André <mabxsi at hotmail.com>
>> wrote:
>> > As an alternative to python multiprocessing module, I'm using QProcess
>> > for
>> > loading and exporting files with my own pool manager. It's pretty darn
>> > fast
>> > and works well, my data sets are managed with HDF5 which takes care of
>> > handling huge data sets pretty easily. If you want to pass data back to
>> > the
>> > UI you can use QSharedMemory to give the GUI access to your data.
>> > Check out my project for a QProcess example.
>> > http://code.google.com/p/ice-cache-explorer/
>> >
>> > -mab
>> > "The world goin' one way, people another!" - Poot
>> >
>> >
>> >
>> >> Date: Mon, 9 May 2011 09:10:20 -0400
>> >> From: jmrbcu at gmail.com
>> >> To: sam.carcagno at gmail.com
>> >> CC: pyqt at riverbankcomputing.com
>> >> Subject: Re: [PyQt] pyqt4 amd multiprocessing
>> >>
>> >> I am very interested in the answer because I have plan to use
>> >> multiprocessing module to do my hard work (because of the python GIL),
>> >> my future design is something like Samuele say, a pool of process
>> >> ready to do some hard job (using multiprocessing) and the GUI with
>> >> pyqt4 and vtk, data pass back and forth between the gui and the worker
>> >> processes (data will be vtk datasets)
>> >>
>> >> On Mon, May 9, 2011 at 6:26 AM, Samuele Carcagno
>> >> <sam.carcagno at gmail.com>
>> >> wrote:
>> >> > Hi,
>> >> >
>> >> > I would like to use the multiprocessing module to create a set of
>> >> > sounds
>> >> > (as numpy arrays) in parallel.
>> >> > The parameters of the sounds (duration, volume, etc..) are controlled
>> >> > by
>> >> > a pyqt4 GUI, and the sounds
>> >> > need to be passed back to the GUI for further processing and
>> >> > presentation. The sounds are generated
>> >> > in a separate module from the GUI. I'm attaching a minimal example
>> >> > with
>> >> > a file that creates the gui and
>> >> > a second file that contains the functions for generating the sounds.
>> >> >
>> >> > I've had mixed success so far, it seems to work on Kubuntu Natty -
>> >> > Python 2.7.1+ - Qt 4.7.2 - PyQt 4.8.3
>> >> > but sometimes it fails on Kubuntu Lucid - Python 2.6.5 - Qt 4.6.2 -
>> >> > PyQt 4.7.2 with the following error:
>> >> >
>> >> > Traceback (most recent call last):
>> >> > File "test_gui.py", line 20, in onClickButton1
>> >> > self.doTrial()
>> >> > File "test_gui.py", line 32, in doTrial
>> >> > x = complexTone(F0, lowHarm, highHarm, level, duration, ramp,
>> >> > channel, fs, maxLevel)
>> >> > File "/media/ntfsShared/mptest/simple_test/stim.py", line 45, in
>> >> > complexTone
>> >> > pool.join()
>> >> > File "/usr/lib/python2.6/multiprocessing/pool.py", line 342, in join
>> >> > p.join()
>> >> > File "/usr/lib/python2.6/multiprocessing/process.py", line 119, in
>> >> > join
>> >> > res = self._popen.wait(timeout)
>> >> > File "/usr/lib/python2.6/multiprocessing/forking.py", line 117, in
>> >> > wait
>> >> > return self.poll(0)
>> >> > File "/usr/lib/python2.6/multiprocessing/forking.py", line 106, in
>> >> > poll
>> >> > pid, sts = os.waitpid(self.pid, flag)
>> >> > OSError: [Errno 4] Interrupted system call
>> >> >
>> >> > Am I doing something fundamentally unsafe by using multiprocessing in
>> >> > this way with a pyqt4 GUI?
>> >> > What is the best approach to use multiprocessing together with pyqt4?
>> >> >
>> >> > Thanks for any suggestions!
>> >> >
>> >> > Sam
>> >> >
>> >> > ###---------GUI----------File 1
>> >> > from PyQt4 import QtGui
>> >> > from PyQt4 import QtCore
>> >> > import sys
>> >> > from stim import* #import module for stimulus generation
>> >> >
>> >> >
>> >> > class Example(QtGui.QWidget):
>> >> >
>> >> > def __init__(self):
>> >> > super(Example, self).__init__()
>> >> > self.setGeometry(300, 300, 250, 150)
>> >> > self.setWindowTitle('Multiprocessing Test')
>> >> >
>> >> > self.button1 = QtGui.QPushButton('Button 1', self)
>> >> > QtCore.QObject.connect(self.button1,
>> >> > QtCore.SIGNAL('clicked()'),
>> >> > self.onClickButton1)
>> >> >
>> >> > def onClickButton1(self):
>> >> > self.doTrial()
>> >> >
>> >> > def doTrial(self):
>> >> > F0 = 200
>> >> > lowHarm=1
>> >> > highHarm = 20
>> >> > level = 50
>> >> > duration = 180
>> >> > ramp = 10
>> >> > channel = "Both"
>> >> > fs = 44100
>> >> > maxLevel = 100.0
>> >> > x = complexTone(F0, lowHarm, highHarm, level, duration, ramp,
>> >> > channel, fs, maxLevel)
>> >> >
>> >> >
>> >> > if __name__ == '__main__':
>> >> > app = QtGui.QApplication(sys.argv)
>> >> > ex = Example()
>> >> > ex.show()
>> >> > app.exec_()
>> >> > #----------END OF FILE 1
>> >> >
>> >> >
>> >> > ###-SOUND GENERATION-- File stim.py
>> >> > from numpy import*
>> >> > import multiprocessing
>> >> >
>> >> > def pureTone(frequency, phase, level, duration, ramp, channel, fs,
>> >> > maxLevel):
>> >> >
>> >> > amp = 10**((level - maxLevel) / 20.)
>> >> > duration = duration / 1000. #convert from ms to sec
>> >> > ramp = ramp / 1000.
>> >> >
>> >> > nSamples = int(round(duration * fs))
>> >> > nRamp = int(round(ramp * fs))
>> >> > nTot = nSamples + (nRamp * 2)
>> >> >
>> >> > timeAll = arange(0., nTot) / fs
>> >> > timeRamp = arange(0., nRamp)
>> >> >
>> >> > snd = zeros((nTot, 2))
>> >> >
>> >> > if channel == "Right":
>> >> > snd[0:nRamp, 1] = amp * ((1-cos(pi * timeRamp/nRamp))/2) *
>> >> > sin(2*pi*frequency * timeAll[0:nRamp] + phase)
>> >> > snd[nRamp:nRamp+nSamples, 1] = amp* sin(2*pi*frequency *
>> >> > timeAll[nRamp:nRamp+nSamples] + phase)
>> >> > snd[nRamp+nSamples:len(timeAll), 1] = amp * ((1+cos(pi *
>> >> > timeRamp/nRamp))/2) * sin(2*pi*frequency *
>> >> > timeAll[nRamp+nSamples:len(timeAll)] + phase)
>> >> > elif channel == "Left":
>> >> > snd[0:nRamp, 0] = amp * ((1-cos(pi * timeRamp/nRamp))/2) *
>> >> > sin(2*pi*frequency * timeAll[0:nRamp] + phase)
>> >> > snd[nRamp:nRamp+nSamples, 0] = amp* sin(2*pi*frequency *
>> >> > timeAll[nRamp:nRamp+nSamples] + phase)
>> >> > snd[nRamp+nSamples:len(timeAll), 0] = amp * ((1+cos(pi *
>> >> > timeRamp/nRamp))/2) * sin(2*pi*frequency *
>> >> > timeAll[nRamp+nSamples:len(timeAll)] + phase)
>> >> > elif channel == "Both":
>> >> > snd[0:nRamp, 0] = amp * ((1-cos(pi * timeRamp/nRamp))/2) *
>> >> > sin(2*pi*frequency * timeAll[0:nRamp] + phase)
>> >> > snd[nRamp:nRamp+nSamples, 0] = amp* sin(2*pi*frequency *
>> >> > timeAll[nRamp:nRamp+nSamples] + phase)
>> >> > snd[nRamp+nSamples:len(timeAll), 0] = amp * ((1+cos(pi *
>> >> > timeRamp/nRamp))/2) * sin(2*pi*frequency *
>> >> > timeAll[nRamp+nSamples:len(timeAll)] + phase)
>> >> > snd[:, 1] = snd[:, 0]
>> >> >
>> >> > return snd
>> >> >
>> >> >
>> >> > def complexTone(F0, lowHarm, highHarm, level, duration, ramp,
>> >> > channel,
>> >> > fs, maxLevel):
>> >> > pool = multiprocessing.Pool()
>> >> > tn = []
>> >> >
>> >> > for i in range(lowHarm, highHarm+1):
>> >> > res = pool.apply_async(pureTone, (F0*i, 0, level, duration,
>> >> > ramp,
>> >> > channel, fs, maxLevel,), callback=tn.append)
>> >> >
>> >> > pool.close()
>> >> > pool.join()
>> >> >
>> >> > for i in range(len(tn)):
>> >> > if i == 0:
>> >> > snd = tn[i]
>> >> > else:
>> >> > snd = snd + tn[i]
>> >> >
>> >> > return snd
>> >> >
>> >> > #----------END OF FILE 2
>> >> > _______________________________________________
>> >> > PyQt mailing list PyQt at riverbankcomputing.com
>> >> > http://www.riverbankcomputing.com/mailman/listinfo/pyqt
>> >> >
>> >>
>> >>
>> >>
>> >> --
>> >> Lic. José M. Rodriguez Bacallao
>> >> Centro de Biofisica Medica
>> >> -----------------------------------------------------------------
>> >> Todos somos muy ignorantes, lo que ocurre es que no todos ignoramos lo
>> >> mismo.
>> >>
>> >> Recuerda: El arca de Noe fue construida por aficionados, el titanic
>> >> por profesionales
>> >> -----------------------------------------------------------------
>> >> _______________________________________________
>> >> PyQt mailing list PyQt at riverbankcomputing.com
>> >> http://www.riverbankcomputing.com/mailman/listinfo/pyqt
>> >
>>
>>
>>
>> --
>> Lic. José M. Rodriguez Bacallao
>> Centro de Biofisica Medica
>> -----------------------------------------------------------------
>> Todos somos muy ignorantes, lo que ocurre es que no todos ignoramos lo
>> mismo.
>>
>> Recuerda: El arca de Noe fue construida por aficionados, el titanic
>> por profesionales
>> -----------------------------------------------------------------
>
--
Lic. José M. Rodriguez Bacallao
Centro de Biofisica Medica
-----------------------------------------------------------------
Todos somos muy ignorantes, lo que ocurre es que no todos ignoramos lo mismo.
Recuerda: El arca de Noe fue construida por aficionados, el titanic
por profesionales
-----------------------------------------------------------------
More information about the PyQt
mailing list