[SciPy-user] [Numpy-discussion] scipy 0.7.1 rc3

George Nurser gnurser@googlemail....
Fri Jun 12 17:26:10 CDT 2009


Hi,
I have just two failures on svn r 5835, which I believe is the same as
0.7.1.rc3.
OS x 10.5.7,python.org 2.5.2, numpy svn 7044, gfortran 4.3.2, apple gcc 4.0.1.
scipy built with
python setup.py build_src build_clib config_fc --fcompiler=gnu95
--f77flags=" -O3 -march=core2" build_ext config_fc --fcompiler=gnu95
--f77flags=" -O3 -march=core2" build > & inst.log &

scipy.test('10')
[snip]
=====================================================================
FAIL: test_random_real (test_basic.TestSingleIFFT)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/scipy/fftpack/tests/test_basic.py",
line 205, in test_random_real
    assert_array_almost_equal (y1, x)
  File "/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/numpy/testing/utils.py",
line 537, in assert_array_almost_equal
    header='Arrays are not almost equal')
  File "/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/numpy/testing/utils.py",
line 395, in assert_array_compare
    raise AssertionError(msg)
AssertionError:
Arrays are not almost equal

(mismatch 0.900900900901%)
 x: array([ 0.56936401 -1.61093638e-09j,  0.42778808 -9.66561764e-09j,
        0.52186930 -1.07395759e-09j,  0.09524378 -1.19960097e-12j,
        0.37034556 -1.55349547e-08j,  0.87382299 +7.88580223e-09j,...
 y: array([ 0.56936431,  0.42778817,  0.52186954,  0.09524398,  0.37034538,
        0.87382281,  0.11707421,  0.78889829,  0.92179215,  0.82394433,
        0.23986711,  0.61445147,  0.64488971,  0.77991045,  0.91312933,...

======================================================================
FAIL: test_continuous_basic.test_cont_basic_slow(<scipy.stats.distributions.ksone_gen
object at 0x15d6f2d0>, (22,), 'ksone')
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/nose-0.10.3-py2.5.egg/nose/case.py",
line 182, in runTest
    self.test(*self.arg)
  File "/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/scipy/stats/tests/test_continuous_basic.py",
line 290, in check_cdf_ppf
    ' - cdf-ppf roundtrip')
  File "/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/numpy/testing/utils.py",
line 262, in assert_almost_equal
    return assert_array_almost_equal(actual, desired, decimal, err_msg)
  File "/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/numpy/testing/utils.py",
line 537, in assert_array_almost_equal
    header='Arrays are not almost equal')
  File "/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/numpy/testing/utils.py",
line 395, in assert_array_compare
    raise AssertionError(msg)
AssertionError:
Arrays are not almost equal
ksone - cdf-ppf roundtrip
(mismatch 33.3333333333%)
 x: array([ 0.   ,  0.5  ,  0.999])
 y: array([ 0.001,  0.5  ,  0.999])

----------------------------------------------------------------------
Ran 4273 tests in 588.327s

--George.



2009/6/12 David Cournapeau <david@ar.media.kyoto-u.ac.jp>:
> Hi,
>
>    I have uploaded the binaries and source tarballs for 0.7.1rc3. The
> rc3 fixes some issues in scipy.special, which caused wrong
> behavior/crashes on some platforms. Hopefully, this will be the 0.7.1
> release,
>
> cheers,
>
> David
>
> =========================
> SciPy 0.7.1 Release Notes
> =========================
>
> .. contents::
>
> SciPy 0.7.1 is a bug-fix release with no new features compared to 0.7.0.
>
> scipy.io
> ========
>
> Bugs fixed:
>
> - Several fixes in Matlab file IO
>
> scipy.odr
> =========
>
> Bugs fixed:
>
> - Work around a failure with Python 2.6
>
> scipy.signal
> ============
>
> Memory leak in lfilter have been fixed, as well as support for array object
>
> Bugs fixed:
>
> - #880, #925: lfilter fixes
> - #871: bicgstab fails on Win32
>
>
> scipy.sparse
> ============
>
> Bugs fixed:
>
> - #883: scipy.io.mmread with scipy.sparse.lil_matrix broken
> - lil_matrix and csc_matrix reject now unexpected sequences,
>  cf. http://thread.gmane.org/gmane.comp.python.scientific.user/19996
>
> scipy.special
> =============
>
> Several bugs of varying severity were fixed in the special functions:
>
> - #503, #640: iv: problems at large arguments fixed by new implementation
> - #623: jv: fix errors at large arguments
> - #679: struve: fix wrong output for v < 0
> - #803: pbdv produces invalid output
> - #804: lqmn: fix crashes on some input
> - #823: betainc: fix documentation
> - #834: exp1 strange behavior near negative integer values
> - #852: jn_zeros: more accurate results for large s, also in
> jnp/yn/ynp_zeros
> - #853: jv, yv, iv: invalid results for non-integer v < 0, complex x
> - #854: jv, yv, iv, kv: return nan more consistently when out-of-domain
> - #927: ellipj: fix segfault on Windows
> - #946: ellpj: fix segfault on Mac OS X/python 2.6 combination.
> - ive, jve, yve, kv, kve: with real-valued input, return nan for
> out-of-domain
>  instead of returning only the real part of the result.
>
> Also, when ``scipy.special.errprint(1)`` has been enabled, warning
> messages are now issued as Python warnings instead of printing them to
> stderr.
>
>
> scipy.stats
> ===========
>
> - linregress, mannwhitneyu, describe: errors fixed
> - kstwobign, norm, expon, exponweib, exponpow, frechet, genexpon, rdist,
>  truncexpon, planck: improvements to numerical accuracy in distributions
>
> Windows binaries for python 2.6
> ===============================
>
> python 2.6 binaries for windows are now included. The binary for python 2.5
> requires numpy 1.2.0 or above, and and the one for python 2.6 requires numpy
> 1.3.0 or above.
>
> Universal build for scipy
> =========================
>
> Mac OS X binary installer is now a proper universal build, and does not
> depend
> on gfortran anymore (libgfortran is statically linked). The python 2.5
> version
> of scipy requires numpy 1.2.0 or above, the python 2.6 version requires
> numpy
> 1.3.0 or above.
>
> Checksums
> =========
>
> 9dd5af43cc26ae6d38a13b373ba430fa
> release/installers/scipy-0.7.1rc3-py2.6-python.org.dmg
> 290c2e056fda1f86dfa9f3a76d207a8c
> release/installers/scipy-0.7.1rc3-win32-superpack-python2.6.exe
> d582dff7535d2b64a097fb4bfbc75d09
> release/installers/scipy-0.7.1rc3-win32-superpack-python2.5.exe
> a19400ccfd65d1a0a5030848af6f78ea  release/installers/scipy-0.7.1rc3.tar.gz
> d4ebf322c62b09c4ebaad7b67f92d032  release/installers/scipy-0.7.1rc3.zip
> a0ea0366b178a7827f10a480f97c3c47
> release/installers/scipy-0.7.1rc3-py2.5-python.org.dmg
>
> _______________________________________________
> Numpy-discussion mailing list
> Numpy-discussion@scipy.org
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>


More information about the SciPy-user mailing list