Re: [Numpy-discussion] Issue tracking
I started the import with the oldest 75 and newest 125 Trac issues, and will wait a few hours to do the rest to allow feedback, just in case something is broken that I haven't noticed. I did make one change to better emulate Trac behavior. Some Trac usernames are also email addresses, which Trac anonymizes in its display. I decided it was safer to do the same. Ray Jones ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Issue tracking
Kudos! Ray. Very impressive and useful work. -Travis On Oct 19, 2012, at 10:20 AM, Thouis (Ray) Jones wrote: I started the import with the oldest 75 and newest 125 Trac issues, and will wait a few hours to do the rest to allow feedback, just in case something is broken that I haven't noticed. I did make one change to better emulate Trac behavior. Some Trac usernames are also email addresses, which Trac anonymizes in its display. I decided it was safer to do the same. Ray Jones ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] Announcing Anaconda version 1.1
I just wanted to let everyone know about our new release of Anaconda which now has Spyder and Matplotlib working for Mac OS X and Windows. Right now, it's the best way to get the pre-requisites for Numba --- though I recommend getting the latest Numba from github as Numba is still under active development. * Anaconda 1.1 Announcement Continuum Analytics, Inc. is pleased to announce the release of Anaconda Pro 1.1, which extends Anaconda’s programming capabilities to the desktop. Anaconda Pro now includes an IDE (Spyder http://spyder-ide.blogspot.com/) and plotting capabilities (Matplotlib http://matplotlib.org/), as well as optimized versions of Numba Pro https://store.continuum.io/cshop/numbaproand IOPro https://store.continuum.io/cshop/iopro. With these enhancements, AnacondaPro is a complete solution for server-side computation or client-side development. It is equally well-suited for supercomputers or for training in a classroom. Available for Windows, Mac OS X, and Linux, Anaconda is a Python distribution for scientific computing, engineering simulation, and business intelligence data management. It includes the most popular numerical and scientific libraries used by scientists, engineers, and data analysts, with a single integrated and flexible installer. Continuum Analytics offers Enterprise-level support for Anaconda, covering both its open source libraries as well as the included commercial libraries from Continuum. For more information, to download a trial version of Anaconda Pro, or download the completely free Anaconda CE, click herehttps://store.continuum.io/cshop/anaconda . * * * * * Best regards, -Travis * * ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Issue tracking
On Fri, Oct 19, 2012 at 11:20 AM, Thouis (Ray) Jones tho...@gmail.com wrote: I started the import with the oldest 75 and newest 125 Trac issues, and will wait a few hours to do the rest to allow feedback, just in case something is broken that I haven't noticed. I did make one change to better emulate Trac behavior. Some Trac usernames are also email addresses, which Trac anonymizes in its display. I decided it was safer to do the same. The import is running again, though I've been having some failures in a few comments and general hangs (these might be network related). I'm keeping track of which issues might have had difficulties. @endolith noticed that I didn't correctly relink #XXX trac id numbers to github id numbers (both trac and github create links automatically), so that will have to be handled by a postprocessing script (which it probably would have, anyway, since the github # isn't known before import). Ray ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Issue tracking
On Fri, Oct 19, 2012 at 4:46 PM, Thouis (Ray) Jones tho...@gmail.com wrote: On Fri, Oct 19, 2012 at 11:20 AM, Thouis (Ray) Jones tho...@gmail.com wrote: I started the import with the oldest 75 and newest 125 Trac issues, and will wait a few hours to do the rest to allow feedback, just in case something is broken that I haven't noticed. I did make one change to better emulate Trac behavior. Some Trac usernames are also email addresses, which Trac anonymizes in its display. I decided it was safer to do the same. The import is running again, though I've been having some failures in a few comments and general hangs (these might be network related). I'm keeping track of which issues might have had difficulties. @endolith noticed that I didn't correctly relink #XXX trac id numbers to github id numbers (both trac and github create links automatically), so that will have to be handled by a postprocessing script (which it probably would have, anyway, since the github # isn't known before import). Import has finished. The following trac #s had issues in creating the comments (I think due to network problems): 182, 297, 619, 621, 902, 904, 909 913, 914, 915, 1044, 1526. I'll review them and see if I can pull in anything missing I'll also work on a script for updating the trac crossrefs to github crossrefs. In the no good deed goes unpunished category, I accidentally logged in as myself (rather than numpy-gitbot) and pushed about 500 issues, so now I receive updates whenever one of them gets changed. At least most of them were closed, already... Ray ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Issue tracking
Also, it looks like Trac issues 2228 and up weren't in the snapshot of the DB I had. Those should be imported after Trac is disabled for new bugs. Ray ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] fromfile with sys.stdin?
Is it possible to use sys.stdin as input for numpy.fromfile? I can't make it work. This simple example: import sys import numpy as np # I know the stream format, so I skip parsing the header keys = ['lot','lon','tb','qual'] dt = [(key,'f8') for key in keys] # skip the header, it has 'end' in the last line while 'end' not in sys.stdin.readline(): pass # pass the stdin filepointer to fromfile arr = np.fromfile(sys.stdin, dtype = dt) print arr produces this error: (develop+)[maye@luna1 ~/src/diviner]$ pread des=~/data/data.des ~/data/mydata.txt | python test_fromfile.py Traceback (most recent call last): File test_fromfile.py, line 10, in module arr = np.fromfile(sys.stdin, dtype = dt) IOError: could not seek in file I also tried to catch the binary output stream into a binary file and read that with fromfile without any problem with the exact same method like here, skipping over the header and so on, so it should not be any problem with the rest of the code. Any hints welcome! ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Issue tracking
On Fri, Oct 19, 2012 at 8:56 AM, Travis Oliphant tra...@continuum.io wrote: Kudos! Ray. Very impressive and useful work. Indeed, many thanks, Ray!! This has been a ton of work, and somewhat thankless b/c it's for a one-off thing. What I did for our lanunchpad bug migration was a far more hackish/dirty job precisely for that reason, so I applaud you for your patience to do this right. Cheers, f ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
