On Tue, Apr 5, 2011 at 12:10 AM, Christoph Gohlke <cgoh...@uci.edu> wrote: > > > On 4/4/2011 1:04 PM, Ralf Gommers wrote: >> Hi, >> >> I am pleased to announce the availability of the second beta of NumPy >> 1.6.0. Due to the extensive changes in the Numpy core for this >> release, the beta testing phase will last at least one month. Please >> test this beta and report any problems on the Numpy mailing list. >> >> Many bug fixes went in since beta 1, among which: >> - fix installation of source release with python 3 >> - f2py fixes for assumed shape arrays >> - several loadtxt bug fixes and enhancements >> - change default floating point error handling from "print" to "warn" >> - much more >> >> I quickly counted in the timeline, and in the last few weeks the >> number of open tickets has been decreased by over 100. Thanks to >> everyone who contributed to this spring cleaning! >> >> Sources and binaries can be found at >> http://sourceforge.net/projects/numpy/files/NumPy/1.6.0b2/ >> For (preliminary) release notes see below. >> >> Enjoy, >> Ralf >> > > Thank you. > > numpy 1.6.0b2 builds well on Windows with msvc9/MKL. > > No license file is included in the installers. > > The installers for Python 3 include 2to3 backup files. This has already > been fixed in scipy > <https://github.com/scipy/scipy/commit/f7dae4f21593d94735a0377a1af3a9275413b889>. > > All numpy tests pass on win32. > > A few numpy tests fail on win-amd64: > > ====================================================================== > ERROR: Ticket #99 > ---------------------------------------------------------------------- > Traceback (most recent call last): > File "X:\Python26-x64\lib\site-packages\numpy\testing\decorators.py", > line 215, in knownfailer > return f(*args, **kwargs) > File > "X:\Python26-x64\lib\site-packages\numpy\core\tests\test_regression.py", > line 148, in test_intp > np.intp('0x' + 'f'*i_width,16) > TypeError: function takes at most 1 argument (2 given) > > ====================================================================== > FAIL: test_iterator.test_iter_broadcasting_errors > ---------------------------------------------------------------------- > Traceback (most recent call last): > File "X:\Python26-x64\lib\site-packages\nose\case.py", line 187, in > runTest > self.test(*self.arg) > File > "X:\Python26-x64\lib\site-packages\numpy\core\tests\test_iterator.py", > line 639, in test_iter_broadcasting_errors > 'Message "%s" doesn\'t contain operand shape (2,3)' % msg) > File "X:\Python26-x64\lib\site-packages\numpy\testing\utils.py", line > 34, in assert_ > raise AssertionError(msg) > AssertionError: Message "non-broadcastable output operand with shape > (%lld,%lld) > doesn't match the broadcast shape (%lld,%lld,%lld)" doesn't contain > operand shape (2,3) > > ====================================================================== > FAIL: test_noncentral_f (test_random.TestRandomDist) > ---------------------------------------------------------------------- > Traceback (most recent call last): > File > "X:\Python26-x64\lib\site-packages\numpy\random\tests\test_random.py", > line 297, in test_noncentral_f > np.testing.assert_array_almost_equal(actual, desired, decimal=14) > File "X:\Python26-x64\lib\site-packages\numpy\testing\utils.py", line > 800, in assert_array_almost_equal > header=('Arrays are not almost equal to %d decimals' % decimal)) > File "X:\Python26-x64\lib\site-packages\numpy\testing\utils.py", line > 636, in assert_array_compare > raise AssertionError(msg) > AssertionError: > Arrays are not almost equal to 14 decimals > > (mismatch 100.0%) > x: array([[ 1.62003345, 1.7253997 ], > [ 0.96735921, 0.42933718], > [ 0.71714872, 6.24979552]]) > y: array([[ 1.405981 , 0.34207973], > [ 3.57715069, 7.92632663], > [ 0.43741599, 1.17742088]]) > > > > One scipy 0.9.0 test fails (32 and 64 bit): > > ====================================================================== > FAIL: test_expon (test_morestats.TestAnderson) > ---------------------------------------------------------------------- > Traceback (most recent call last): > File > "X:\Python26-x64\lib\site-packages\scipy\stats\tests\test_morestats.py", > line 72, in test_expon > assert_array_less(crit[:-1], A) > File "X:\Python26-x64\lib\site-packages\numpy\testing\utils.py", line > 869, in assert_array_less > header='Arrays are not less-ordered') > File "X:\Python26-x64\lib\site-packages\numpy\testing\utils.py", line > 613, in assert_array_compare > chk_same_position(x_id, y_id, hasval='inf') > File "X:\Python26-x64\lib\site-packages\numpy\testing\utils.py", line > 588, in chk_same_position > raise AssertionError(msg) > AssertionError: > Arrays are not less-ordered > > x and y inf location mismatch: > x: array([ 0.911, 1.065, 1.325, 1.587]) > y: array(inf)
I think this is from the change how inf are now handled in the asserts, but I cannot check because I don't have numpy 1.6 yet >>> np.testing.assert_array_less(2,3) >>> np.testing.assert_array_less(2,np.inf) >>> np.testing.assert_array_less(np.inf,np.inf) the anderson test really states: assert array([ 0.911, 1.065, 1.325, 1.587]) < np.inf which is correct but not a good test. Josef > > > > Christoph > _______________________________________________ > 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
