Mailman 3 June 2004 - NumPy-Discussion

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Dear User, The message with following attributes has not been delivered. because contains an infected object. Sender = numpy-discussion(a)lists.sourceforge.net Recipients = max(a)iao.ru Subject = *****SPAM***** hello Message-ID = <20040604063443.6A65D18C3A(a)core.tsc.ru> Antivirus filter report: --- Dr.Web report --- ======== infected with Win32.HLLM.Netsky.35328 ======== game_xxo.zip infected with Win32.HLLM.Netsky.35328 ======== known virus is found : 1 --- Dr.Web report --- The original message was stored in archive record named: drweb.infected_wCE8SB In order to receive the original message, please send request to <drweb(a)iao.ru>, referring to the archive record name given above. --- Antivirus service provided by Dr.Web(R) Daemon for Unix (http://www.drweb.ru, http://www.dials.ru/english) Уважаемый Отправитель numpy-discussion(a)lists.sourceforge.net, Сообщение, отправленное Вами по адресу(ам) max(a)iao.ru, инфицировано и не было доставлено. --- Dr.Web report --- ======== infected with Win32.HLLM.Netsky.35328 ======== game_xxo.zip infected with Win32.HLLM.Netsky.35328 ======== known virus is found : 1 --- Dr.Web report --- Ваше сообщение сохранено в карантине под именем: drweb.infected_wCE8SB Чтобы получить это сообщение, обратитесь к администратору по адресу <drweb(a)iao.ru>, указав имя, под которым Ваше сообщение сохранено в каратнине. --- Антивирусная защита почтовых серверов Dr.Web(R) Daemon for Unix (разработан в Daniloff's Labs) (http://www.drweb.ru, http://www.DialogNauka.ru)

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numarray.nd_image.label() help
by Andrew Wilson June 3, 2004

June 3, 2004

Hello, I'm having some trouble with the numarray.nd_image.label() function as it is not connecting two objects (that are adjacent) on some images. I have tried using the struct: [[1,1,1] struct = [1,1,1] [1,1,1]] this does change how it is connecting various objects in my image (as compared to the default struct) but it still splits the objects eventhough they are touching. Any hints or clues? I could send the pictures, just don't want to post them to the entire list. Thanks for your help Andrew

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Random Numbers
by Karthikesh Raju June 3, 2004

June 3, 2004

Hi All, How close is the random number generation from numarray.random_array.normal(0,1,x) or numarray.linear_algebra.mlab.randn(x) to matlab's randn? i am having problems with an identical program written in matlab and python, with the results entirely different in both cases :( Warm regards karthik ----------------------------------------------------------------------- Karthikesh Raju, email: karthik(a)james.hut.fi Researcher, http://www.cis.hut.fi/karthik Helsinki University of Technology, Tel: +358-9-451 5389 Laboratory of Comp. & Info. Sc., Fax: +358-9-451 3277 Department of Computer Sc., P.O Box 5400, FIN 02015 HUT, Espoo, FINLAND -----------------------------------------------------------------------

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Building rpm for 23.1 fails at the end
by Fernando Perez June 2, 2004

June 2, 2004

Hi all, I just tried: root(a)planck[Numeric-23.1]# ./setup.py build bdist --formats=rpm and after a while I got this traceback: moving build/bdist.linux-i686/rpm/SRPMS/Numeric-23.1-1.src.rpm -> dist Traceback (most recent call last): File "./setup.py", line 182, in ? ext_modules = ext_modules File "/usr/src/build/394694-i386/install/usr/lib/python2.3/distutils/core.py", line 149, in setup File "/usr/src/build/394694-i386/install/usr/lib/python2.3/distutils/dist.py", line 907, in run_commands File "/usr/src/build/394694-i386/install/usr/lib/python2.3/distutils/dist.py", line 927, in run_command File "/usr/src/build/394694-i386/install/usr/lib/python2.3/distutils/command/bdist.py", line 146, in run File "/usr/lib/python2.3/cmd.py", line 333, in run_command File "/usr/src/build/394694-i386/install/usr/lib/python2.3/distutils/dist.py", line 927, in run_command File "/usr/src/build/394694-i386/install/usr/lib/python2.3/distutils/command/bdist_rpm.py", line 316, in run AssertionError: unexpected number of RPM files found: ['build/bdist.linux-i686/rpm/RPMS/i386/Numeric-23.1-1.i386.rpm', 'build/bdist.linux-i686/rpm/RPMS/i386/Numeric-debuginfo-23.1-1.i386.rpm'] As it turns out, the rpm DID get correctly built, but the -debuginfo- one is confusing setup.py. I simply copied the rpm by hand and moved on, but someone who knows more about distutils than me might want to look into this. Cheers, f

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erfc
by Karthikesh Raju June 2, 2004

June 2, 2004

Hi All, Thankx to everyone for my previous "Random Numbers" question. Ok, do we have the complementary error function in numarray? i mean erfc(z) = 1 - erf(z) = \frac{2}{\pi} \int_z^\infy e^{t^2}dt (just used LaTeX notation, ran out of ideas to represent it otherwise) Warm regards Karthik ----------------------------------------------------------------------- Karthikesh Raju, email: karthik(a)james.hut.fi Researcher, http://www.cis.hut.fi/karthik Helsinki University of Technology, Tel: +358-9-451 5389 Laboratory of Comp. & Info. Sc., Fax: +358-9-451 3277 Department of Computer Sc., P.O Box 5400, FIN 02015 HUT, Espoo, FINLAND -----------------------------------------------------------------------

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Re: [Numpy-discussion] Random Numbers
by Bruce Southey June 2, 2004

June 2, 2004

Hi, All three use different but well-known algorithms For Matlab 5 onwards, this references the randn (which is the standard normal): http://www.mathworks.com/company/newsletters/news_notes/clevescorner/spring… (You also note the link to Matlabs uniform generator that has excellent properties.) numarray.random_array.normal that uses ranlib snorm (snorm is the standard normal). numarray.linear_algebra.mlab.randn uses the Box-Muller method using random uniform numbers from ranlib. Your problems suggest that randn is not the cause. Without any code or what you want to do it hard to address your question except that you should ensure that your sampling does provide the normal distribution with your parameters. By that I mean draw many, many samples from one set of parameters and check the estimated mean and variance. Regards Bruce ---- Original message ---- >Date: Wed, 2 Jun 2004 17:27:02 +0300 >From: Karthikesh Raju <karthik(a)james.hut.fi> >Subject: [Numpy-discussion] Random Numbers >To: numpy-discussion(a)lists.sourceforge.net > >Hi All, > >How close is the random number generation from >numarray.random_array.normal(0,1,x) or >numarray.linear_algebra.mlab.randn(x) to matlab's randn? > >i am having problems with an identical program written in matlab and >python, with the results entirely different in both cases :( > >Warm regards > >karthik > > >----------------------------------------------------------------------- >Karthikesh Raju, email: karthik(a)james.hut.fi >Researcher, http://www.cis.hut.fi/karthik >Helsinki University of Technology, Tel: +358-9-451 5389 >Laboratory of Comp. & Info. Sc., Fax: +358-9-451 3277 >Department of Computer Sc., >P.O Box 5400, FIN 02015 HUT, >Espoo, FINLAND >----------------------------------------------------------------------- > > >------------------------------------------------------- >This SF.Net email is sponsored by the new InstallShield X. >From Windows to Linux, servers to mobile, InstallShield X is the one >installation-authoring solution that does it all. Learn more and >evaluate today! http://www.installshield.com/Dev2Dev/0504 >_______________________________________________ >Numpy-discussion mailing list >Numpy-discussion(a)lists.sourceforge.net >https://lists.sourceforge.net/lists/listinfo/numpy-discussion

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