Re: [Numpy-discussion] distributing pre-compiled f2py extensions on OSX
On Fri, Feb 24, 2012 at 3:39 PM, Mark Bakker mark...@gmail.com wrote: Two short questions: 1. When I distribute pre-compiled f2py extensions for OSX, it seems that the users need gfortran installed, else it cannot find libgfortran.3.dylib. Is there a way to link that file with the extension? You can look at how this is done in Scipy. 2. Should extensions compiled on Snowleopard work on Lion? Yes. Ralf ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Problem Building Numpy with Python 2.7.1 and OS X 10.7.3
On Thu, Feb 23, 2012 at 11:28 PM, Patrick Armstrong patri...@uvic.cawrote: Hi there, I'm having a problem building NumPy on Python 2.7.1 and OS X 10.7.3. Here is my build log: https://gist.github.com/1895377 Does anyone have any idea what might be happening? I get a very similar error when compiling with clang. Installing a binary really isn't an option for me due to some specifics of my project. Does anyone have an idea what might be wrong? Since you're using pip, I assume that gcc-4.2 is llvm-gcc. As a first step, I suggest using plain gcc and not using pip (so just python setup.py install). Also make sure you follow the recommendations in version specific notes at http://scipy.org/Installing_SciPy/Mac_OS_X. Ralf ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] numpy uint16 array to unicode string
I have a buffer as a numpy array of uint16. Chunks of this buffer are unicode characters. How do I get these chunks, say data[start:end], in a string? Other chunks are 32bit integers how do I get these chunks into a numpy array of int32? Many thanks, Janwillem ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy uint16 array to unicode string
On Sat, Feb 25, 2012 at 19:50, Janwillem jwevand...@xs4all.nl wrote:
I have a buffer as a numpy array of uint16. Chunks of this buffer are
unicode characters. How do I get these chunks, say data[start:end], in a
string?
data[sart:end].tostring().decode('UTF-16LE')
or 'UTF-16BE' if they are big-endian.
Other chunks are 32bit integers how do I get these chunks into a numpy
array of int32?
data[start:end].view(np.int32)
--
Robert Kern
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Re: [Numpy-discussion] distributing pre-compiled f2py extensions on OSX
Thanks for the reply, Ralf. Can you point me a bit in the right direction. Scipy is pretty big. Thanks, Mark -- Message: 2 Date: Sat, 25 Feb 2012 11:16:50 +0100 From: Ralf Gommers ralf.gomm...@googlemail.com Subject: Re: [Numpy-discussion] distributing pre-compiled f2py extensions on OSX To: Discussion of Numerical Python numpy-discussion@scipy.org Message-ID: CABL7CQiBO35Lo=vhzy4mnls7ks3-322gtmdz_6qebf+sjbh...@mail.gmail.com Content-Type: text/plain; charset=iso-8859-1 On Fri, Feb 24, 2012 at 3:39 PM, Mark Bakker mark...@gmail.com wrote: Two short questions: 1. When I distribute pre-compiled f2py extensions for OSX, it seems that the users need gfortran installed, else it cannot find libgfortran.3.dylib. Is there a way to link that file with the extension? You can look at how this is done in Scipy. 2. Should extensions compiled on Snowleopard work on Lion? Yes. Ralf -- next part -- An HTML attachment was scrubbed... URL: http://mail.scipy.org/pipermail/numpy-discussion/attachments/20120225/9fa76d70/attachment-0001.html -- ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy uint16 array to unicode string
Thanks, works, should have found that myself.
On 25-02-2012 20:56, Robert Kern wrote:
On Sat, Feb 25, 2012 at 19:50, Janwillemjwevand...@xs4all.nl wrote:
I have a buffer as a numpy array of uint16. Chunks of this buffer are
unicode characters. How do I get these chunks, say data[start:end], in a
string?
data[sart:end].tostring().decode('UTF-16LE')
or 'UTF-16BE' if they are big-endian.
Other chunks are 32bit integers how do I get these chunks into a numpy
array of int32?
data[start:end].view(np.int32)
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Re: [Numpy-discussion] Possible roadmap addendum: building better text file readers
On Fri, Feb 24, 2012 at 9:07 AM, Erin Sheldon erin.shel...@gmail.com wrote: Excerpts from Travis Oliphant's message of Thu Feb 23 15:08:52 -0500 2012: This is actually on my short-list as well --- it just didn't make it to the list. In fact, we have someone starting work on it this week. It is his first project so it will take him a little time to get up to speed on it, but he will contact Wes and work with him and report progress to this list. Integration with np.loadtxt is a high-priority. I think loadtxt is now the 3rd or 4th text-reading interface I've seen in NumPy. I have no interest in making a new one if we can avoid it. But, we do need to make it faster with less memory overhead for simple cases like Wes describes. I'm willing to adapt my code if it is wanted, but at the same time I don't want to step on this person's toes. Should I proceed? -e -- Erin Scott Sheldon Brookhaven National Laboratory ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion That may work-- I haven't taken a look at the code but it is probably a good starting point. We could create a new repo on the pydata GitHub org (http://github.com/pydata) and use that as our point of collaboration. I will hopefully be able to put some serious energy into this this spring. - Wes ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] bincount([], minlength=2) should work right?
bincount([]) makes no sense, but if a minlength argument is provided, then the routine should succeed. It fails in 1.6.1, has it been fixed in master? - James -- http://www-etud.iro.umontreal.ca/~bergstrj ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Possible roadmap addendum: building better text file readers
Excerpts from Wes McKinney's message of Sat Feb 25 15:49:37 -0500 2012: That may work-- I haven't taken a look at the code but it is probably a good starting point. We could create a new repo on the pydata GitHub org (http://github.com/pydata) and use that as our point of collaboration. I will hopefully be able to put some serious energy into this this spring. First I want to make sure that we are not duplicating effort of the person Travis mentioned. Logistically, I think it is probably easier to just fork numpy into my github account and then work it directly into the code base, and ask for a pull request when things are ready. I expect I could have something with all the required features ready in a week or so. It is mainly just porting the code from C++ to C, and writing the interfaces by hand instead of with swig; I've got plenty of experience with that, so it should be straightforward. -e -- Erin Scott Sheldon Brookhaven National Laboratory ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] bincount([], minlength=2) should work right?
On 2/25/2012 4:44 PM, James Bergstra wrote: bincount([]) makes no sense, I disagree: http://permalink.gmane.org/gmane.comp.python.numeric.general/42041 but if a minlength argument is provided, then the routine should succeed. Definitely! Alan Isaac ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] bincount([], minlength=2) should work right?
On Sat, Feb 25, 2012 at 5:13 PM, Alan G Isaac alan.is...@gmail.com wrote: On 2/25/2012 4:44 PM, James Bergstra wrote: bincount([]) makes no sense, I disagree: http://permalink.gmane.org/gmane.comp.python.numeric.general/42041 but if a minlength argument is provided, then the routine should succeed. Definitely! There's a PR to fix this here. https://github.com/numpy/numpy/pull/84 Skipper ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] bincount([], minlength=2) should work right?
On Saturday, February 25, 2012, Alan G Isaac wrote: On 2/25/2012 4:44 PM, James Bergstra wrote: bincount([]) makes no sense, I disagree: http://permalink.gmane.org/gmane.comp.python.numeric.general/42041 but if a minlength argument is provided, then the routine should succeed. Definitely! Alan Isaac I thought we already fixed this? Or was that only for histogram? Ben Root ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] bincount([], minlength=2) should work right?
On Sat, Feb 25, 2012 at 5:13 PM, Alan G Isaac alan.is...@gmail.com wrote: On 2/25/2012 4:44 PM, James Bergstra wrote: bincount([]) makes no sense, I disagree: http://permalink.gmane.org/gmane.comp.python.numeric.general/42041 gmane is down to me at the moment, but if this argues that the answer should be [], that would make sense to me too. I was too quick about undefining it in my post. -- http://www-etud.iro.umontreal.ca/~bergstrj ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] distributing pre-compiled f2py extensions on OSX
On Sat, Feb 25, 2012 at 9:29 PM, Mark Bakker mark...@gmail.com wrote: Thanks for the reply, Ralf. Can you point me a bit in the right direction. Scipy is pretty big. All Fortran sources in Scipy are wrapped with f2py, and can be compiled with gfortran the way you want. As a simple example, have a look at integrate/setup.py to see how the extension dop is compiled. You can probably just use a similar config.add_library() call. If you only need the exact compile arguments, just compile scipy and get them from the build log. Ralf ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] Creating a bool array with Cython
Is this a reasonable (and fast) way to create a bool array in cython? def makebool(): cdef: int n = 2 np.npy_intp *dims = [n] np.ndarray[np.uint8_t, ndim=1] a a = PyArray_EMPTY(1, dims, NPY_UINT8, 0) a[0] = 1 a[1] = 0 a.dtype = np.bool return a Will a numpy bool array be np.uint8 on all platforms? How can I do a.dtype=np.bool using the numpy C api? Is there any point (speed) in doing so? ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Possible roadmap addendum: building better text file readers
I will just let Jay know that he should coordinate with you.It would be helpful for him to have someone to collaborate with on this. I'm looking forward to seeing your code. Definitely don't hold back on our account. We will adapt to whatever you can offer. Best regards, -Travis On Feb 24, 2012, at 8:07 AM, Erin Sheldon wrote: Excerpts from Travis Oliphant's message of Thu Feb 23 15:08:52 -0500 2012: This is actually on my short-list as well --- it just didn't make it to the list. In fact, we have someone starting work on it this week. It is his first project so it will take him a little time to get up to speed on it, but he will contact Wes and work with him and report progress to this list. Integration with np.loadtxt is a high-priority. I think loadtxt is now the 3rd or 4th text-reading interface I've seen in NumPy. I have no interest in making a new one if we can avoid it. But, we do need to make it faster with less memory overhead for simple cases like Wes describes. I'm willing to adapt my code if it is wanted, but at the same time I don't want to step on this person's toes. Should I proceed? -e -- Erin Scott Sheldon Brookhaven National Laboratory ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
