Hi, with numpy 1.2.0rc1 running 'python -c "import numpy; numpy.test()"' on my Ubuntu Hardy amd64 machine results in 1721 tests being run and 1 skipped. So far, so good.
However, if I run numpy.test(10,10,all=True), I get 1846 tests with: the message "FAILED (SKIP=1, errors=8, failures=68)" Furthermore, there are several matplotlib windows that pop up, many of which are non-reassuringly blank: Bartlett window frequency response (twice -- I guess the 2nd is actually for the Blackman window), Hamming window frequency response, Kaiser window, Kaiser window frequency response, sinc function. Additionally, the linspace and logspace tests each generate a plots with green and blue dots at Y values of 0.0 and 0.5, but it would be nice to have an axes title. Should I be concerned that there are so many errors and failures with the numpy test suite? Or am I just running it with unintended settings? If these tests should pass, I will attempt to find time to generate bug reports for them, although I don't think there's anything particularly weird about my setup. -Andrew _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
