Mailman 3 October 2010 - NumPy-Discussion

installing different tag or branches from git source
by Vincent Davis Oct. 14, 2010

Oct. 14, 2010

Ok so this is more of a git question but and I think it might be simple I just don't get it. Lets say I get a copy of numpy, $git clone http://github.com/numpy/numpy.git and now I what install the 1.4.1 release which is a "tag" or I want to install 1.4.x maintenance which is a "branch". My understanding is that git clone get everything, I kinda get how I can switch branches git checkout maintenance/1.4.x not sure about how to do this with tags and not really sure what this actually does. So is this right? If I git clone http://github.com/numpy/numpy.git git checkout v1.4.0 I will not have release 1.4.0 source in my numpy folder? and git checkout maintenance/1.4.x I will have the maintenance/1.4.x source in my numpy folder? I got the link to http://docs.scipy.org/doc/numpy/dev/gitwash/index.html from another email tread but I don't think it can be found by starting at http://www.scipy.org/Developer_Zone How does one add a link to that page? -- Thanks Vincent Davis 720-301-3003

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Mapping of a ring buffer to a numpy array
by Daniele Nicolodi Oct. 14, 2010

Oct. 14, 2010

Hello, I would like to write (in cython) python bindings for a library that interfaces with data acquisition hardware trough a kernel driver. Data can be exchanged with the kernel driver trough a memory mapped ring buffer. I would like to expose this ring buffer as a numpy array, however I would like to make the ring buffer wrap around management transparent. There is a way to instruct numpy to do that? Thanks. Cheers, -- Daniele

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Using issubdtype to check integer types
by Stéfan van der Walt Oct. 14, 2010

Oct. 14, 2010

Hi all, Is this behaviour correct? In [18]: np.issubdtype(np.uint16, np.uint) Out[18]: False Regards Stéfan

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AttributeError: 'module' object has no attribute 'parse'
by Nils Wagner Oct. 14, 2010

Oct. 14, 2010

Hi all, I have Installed numpy via git. numpy.test() failed. Nils >>> import numpy >>> numpy.__version__ '2.0.0.dev8621' >>> numpy.test() Running unit tests for numpy Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/data/home/nwagner/local/lib/python2.5/site-packages/numpy/testing/nosetester.py", line 318, in test self._show_system_info() File "/data/home/nwagner/local/lib/python2.5/site-packages/numpy/testing/nosetester.py", line 187, in _show_system_info nose = import_nose() File "/data/home/nwagner/local/lib/python2.5/site-packages/numpy/testing/nosetester.py", line 56, in import_nose import nose File "/data/home/nwagner/local/lib/python2.5/site-packages/nose-0.11.1-py2.5.egg/nose/__init__.py", line 1, in <module> from nose.core import collector, main, run, run_exit, runmodule File "/data/home/nwagner/local/lib/python2.5/site-packages/nose-0.11.1-py2.5.egg/nose/core.py", line 11, in <module> from nose.config import Config, all_config_files File "/data/home/nwagner/local/lib/python2.5/site-packages/nose-0.11.1-py2.5.egg/nose/config.py", line 8, in <module> from nose.util import absdir, tolist File "/data/home/nwagner/local/lib/python2.5/site-packages/nose-0.11.1-py2.5.egg/nose/util.py", line 14, in <module> from compiler.consts import CO_GENERATOR File "/data/home/nwagner/local/lib/python2.5/compiler/__init__.py", line 24, in <module> from compiler.transformer import parse, parseFile File "/data/home/nwagner/local/lib/python2.5/compiler/transformer.py", line 29, in <module> import parser File "/data/home/nwagner/parser.py", line 3, in <module> ast= compiler.parse( eq ) AttributeError: 'module' object has no attribute 'parse'

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SPARC debug request
by Charles R Harris Oct. 14, 2010

Oct. 14, 2010

Hi, Can someone running on SPARC take a look at ticket #1631<http://projects.scipy.org/numpy/ticket/1631>. It is a SIGBUS error that only appears when running in 32 bit mode. I think nics has very nearly isolated the problem and it needs just a bit more work to find the fix. It would be nice to get this done for 1.5.1. Chuck

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www.numpy.org url issues
by Vincent Davis Oct. 13, 2010

Oct. 13, 2010

When visiting links starting at www.numpy.org the URL in the address bar does not change. For example clicking the "getting Numpy" takes you to http://www.scipy.org/Download but the URL in the address bar does not change. So now if I wanted to email that page to someone it would not be obvious what the right URL would be. Also I have noticed that numpy.org mixes new.scipy.org and scipy.org (actual url not what is displayed) different than if you start from scip.org. If you start at scipy.org everything works right. Ok so maybe this only bugs me :) -- Thanks Vincent Davis 720-301-3003

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32 bit version numpy
by P Sanjey Oct. 13, 2010

Oct. 13, 2010

Dear all, How can I build a 32 bit numpy on a x86_64 machine? I have python installed as 32 bit as well. Please would you mind giving me the commands? I am suing a Fedora core 3 machine.

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Development workflow
by Matthew Brett Oct. 13, 2010

Oct. 13, 2010

Hi guys, Am I right in thinking that for the moment at least, the git workflow is basically the same as the svn workflow (everyone commiting to trunk)? I realize that this is not going to cheer anyone up, but is this the best workflow now? Who would decide? Best, Matthew

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Extract groups of/individual bit values from UInt16 array [SEC=UNCLASSIFIED]
by Pinner, Luke Oct. 13, 2010

Oct. 13, 2010

I'm working with some MODIS satellite imagery. MODIS data includes a quality flag mask. For the particular dataset I'm working with, this is a two dimensional unsigned 16 bit integer array. The quality flags are stored as one or more bits in each integer value: Bits are numbered from 0 (least significant bit) Bit Long name Key 0-1 MODLAND_QA 00=VI produced, good quality 01=VI produced, but check other QA 10=Pixel produced, but most probably cloudy 11=Pixel not produced due to other reasons than clouds 2-5 VI usefulness 0000=Highest quality 0001=Lower quality 0010=Decreasing quality 0100=Decreasing quality 1000=Decreasing quality 1001=Decreasing quality 1010=Decreasing quality 1100=Lowest quality 1101=Quality so low that it is not useful 1110=L1B data faulty 1111=Not useful for any other reason/not processed ...<SNIP>... 15 Possible shadow 0=No 1=Yes Some typical values are: arr=numpy.array([51199,37013,36885,36889,34841,2062,34837,2061,35033,349 61,2185,37013,36885,2185,4109,4233], dtype=numpy.uint16) How would I extract groups of/individual bit values from such an array? Regards Luke Pinner ------ If you have received this transmission in error please notify us immediately by return e-mail and delete all copies. If this e-mail or any attachments have been sent to you in error, that error does not constitute waiver of any confidentiality, privilege or copyright in respect of information in the e-mail or attachments. Please consider the environment before printing this email. ------

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bug in genfromtxt
by Skipper Seabold Oct. 12, 2010

Oct. 12, 2010

With names=True, if you specify the dtype manually and specify usecols, it doesn't grab the correct names along with the columns. Should be a simple fix, but haven't had time to write a patch yet. from stringIO import stringIO import numpy as np np.__version__ #1.5.0 s = StringIO("col0,col1,col2,col3,col4\n0,1,2,3,4\n0,1,2,3,4\n0,1,2,3,4") arr = np.genfromtxt(s, names=True, usecols=(0,2,4), delimiter=",", dtype=['int','int','int']) arr.dtype.names #('col0', 'col1', 'col2') Interestingly in trying to reproduce, I mistyped the dtype and got the expected names (but no error on my bad dtype). arr = np.genfromtxt(s, names=True, usecols=(0,2,4), delimiter=",", dtype=['int','int','int','int','int']) arr.dtype.names #('col0', 'col2', 'col4') It also works as expected with dtype=None. Ticket here: http://projects.scipy.org/numpy/ticket/1636 Skipper

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