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On Wed, Feb 18, 2009 at 11:43 AM, James Evans <jre...@ea...> wrote: > All, > > I have just submitted a first-cut at a unit-test harness. The unit-tests do require the use of the 'nose' python module. [...] > Any questions or comments? This is great, many thanks! I'd just suggest, if possible, adding a top-level .test() function, so that the usual idiom for package testing 'import foo;foo.test()' can be applied. I have a shell function for that: function pytest { # Run the test suite for a python package by name. # This assumes the package has a top-level .test() routine to run its # test suite. local pname=1ドル python -c "import $pname;${pname}.test()" } that I use for things like testing numpy or scipy easily: uqbar[~]> pytest numpy Running unit tests for numpy [...] ---------------------------------------------------------------------- Ran 1931 tests in 4.999s OK (KNOWNFAIL=1, SKIP=11) Cheers, f
On 2009年2月18日, Joshua Lippai wrote: > Interesting. I can't reproduce your result using either the MacOSX or > WXAgg backend. Which backend are you using, and does the problem > persist if you use a different one? Hmm, I see it in at least WXAgg, WX, GTKAgg ... /Olle
python -i svn/matplotlib/test/run-mpl-test.py ... ====================================================================== FAIL: Test numpy shaped data. ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/nwagner/svn/matplotlib/test/test_plots/TestPlot.py", line 129, in test_shaped_data self.checkImage( fname ) File "/home/nwagner/svn/matplotlib/test/mplTest/MplTestCase.py", line 57, in checkImage self.fail( msg + "\n" + errorMessage ) AssertionError: Error: Image files did not match. RMS Value: 3.26978179241 Expected: /home/nwagner/svn/matplotlib/test/test_plots/baseline/TestPlot/shaped_data.png Actual: /home/nwagner/svn/matplotlib/test/test_plots/outputs/shaped_data.png Tolerance: 0.001 ---------------------------------------------------------------------- Ran 16 tests in 6.476s FAILED (failures=1)
All, I have just submitted a first-cut at a unit-test harness. The unit-tests do require the use of the 'nose' python module. Everything has been placed in the 'test' directory off of the root trunk branch. There is a README file with lots of information on how to use it. This is in addition to a few test cases already bundled in (they make great examples)! The idea is that whenever somebody adds a new feature or makes a change they update/add the appropriate test case and re-run the harness to make sure nothing is broken. There is most definitely room for improvement with this, but it gives a starting point from which discussions and modifications can take place. Any questions or comments? --James Evans
Interesting. I can't reproduce your result using either the MacOSX or WXAgg backend. Which backend are you using, and does the problem persist if you use a different one? Josh On Wed, Feb 18, 2009 at 11:12 AM, Olle Engdegård <ol...@fy...> wrote: > > Doing > > from pylab import * > x=normal(10, size=1000) > hist(x) > xlim(0,10) > savefig("Image.svg") > > and then importing the file to Inkscape and saving it there as a pdf gives > the attached result. The stuff right of x=10 is suddenly there. The weirdest > thing is that Inkscape _does not see this overspill_! > > Not sure what is happening here, cannot reproduce it with plot() instead of > hist(). > > Cheers, > Olle > ------------------------------------------------------------------------------ > Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA > -OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise > -Strategies to boost innovation and cut costs with open source participation > -Receive a 600ドル discount off the registration fee with the source code: SFAD > http://p.sf.net/sfu/XcvMzF8H > _______________________________________________ > Matplotlib-devel mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel > >
Doing from pylab import * x=normal(10, size=1000) hist(x) xlim(0,10) savefig("Image.svg") and then importing the file to Inkscape and saving it there as a pdf gives the attached result. The stuff right of x=10 is suddenly there. The weirdest thing is that Inkscape _does not see this overspill_! Not sure what is happening here, cannot reproduce it with plot() instead of hist(). Cheers, Olle