[SciPy-Dev] Release candidate 2 for NumPy 1.4.1 and SciPy 0.7.2

Alan G Isaac aisaac@american....
Wed Apr 14 13:41:18 CDT 2010


SciPy tests: OK (KNOWNFAIL=4, SKIP=32)
Alan Isaac
(Python 2.6.5, Vista 64bit)


c:\Python26\lib\site-packages\scipy\spatial\__init__.py:7: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility
   from ckdtree import *
c:\Python26\lib\site-packages\scipy\spatial\__init__.py:7: RuntimeWarning: numpy.flatiter size changed, may indicate binary incompatibility
   from ckdtree import *
c:\Python26\lib\site-packages\scipy\linsolve\__init__.py:4: DeprecationWarning: scipy.linsolve has moved to scipy.sparse.linalg.dsolve
   warn('scipy.linsolve has moved to scipy.sparse.linalg.dsolve', DeprecationWarning)
c:\Python26\lib\site-packages\scipy\stats\distributions.py:27: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility
   import vonmises_cython
c:\Python26\lib\site-packages\scipy\stats\distributions.py:27: RuntimeWarning: numpy.flatiter size changed, may indicate binary incompatibility
   import vonmises_cython
.............................................................................................................................................................................................................................c:\Python26\lib\site-packages\scipy\interpolate\fitpack2.py:498: UserWarning:
The coefficients of the spline returned have been computed as the
minimal norm least-squares solution of a (numerically) rank deficient
system (deficiency=7). If deficiency is large, the results may be
inaccurate. Deficiency may strongly depend on the value of eps.
   warnings.warn(message)
.....c:\Python26\lib\site-packages\scipy\interpolate\fitpack2.py:439: UserWarning:
The required storage space exceeds the available storage space: nxest
or nyest too small, or s too small.
The weighted least-squares spline corresponds to the current set of
knots.
   warnings.warn(message)
...........................................K..K.................................................................................................c:\Python26\lib\site-packages\scipy\io\matlab\mio.py:111: Warning: Unreadable variable "testfunc", because "Cannot read matlab functions"
   matfile_dict = MR.get_variables()
..........c:\Python26\lib\site-packages\scipy\io\matlab\mio.py:165: FutureWarning: Using oned_as default value ('column') This will change to 'row' in future versions
   oned_as=oned_as)
.........................c:\Python26\lib\site-packages\scipy\io\matlab\tests\test_mio.py:438: FutureWarning: Using oned_as default value ('column') This will change to 'row' in future versions
   mfw = MatFile5Writer(StringIO())
........c:\Python26\lib\site-packages\scipy\io\matlab\mio.py:84: FutureWarning: Using struct_as_record default value (False) This will change to True in future versions
   return MatFile5Reader(byte_stream, **kwargs)
...............................Warning: 1000000 bytes requested, 20 bytes read.
.c:\Python26\lib\site-packages\numpy\lib\utils.py:140: DeprecationWarning: `write_array` is deprecated!


This function is replaced by numpy.savetxt which allows the same functionality
through a different syntax.

   warnings.warn(depdoc, DeprecationWarning)
c:\Python26\lib\site-packages\numpy\lib\utils.py:140: DeprecationWarning: `read_array` is deprecated!

The functionality of read_array is in numpy.loadtxt which allows the same
functionality using different syntax.

   warnings.warn(depdoc, DeprecationWarning)
.......................c:\Python26\lib\site-packages\numpy\lib\utils.py:140: DeprecationWarning: `npfile` is deprecated!

You can achieve the same effect as using npfile, using ndarray.tofile
and numpy.fromfile.

Even better you can use memory-mapped arrays and data-types to map out a
file format for direct manipulation in NumPy.

   warnings.warn(depdoc, DeprecationWarning)
.........................................................................................................................................................SSSSSS......SSSSSS......SSSS.............................................................S.....................................................c:\Python26\lib\site-packages\scipy\linalg\decomp.py:1177: DeprecationWarning: qr econ argument will be removed after scipy 0.7. The economy transform will then be available through the mode='economic' argument.
   "the mode='economic' argument.", DeprecationWarning)
.....................................................................................................................................................................................................................................................................................................SSS..................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SSSSSSSSSSS........................................................................................................................................................................................
...................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................K.K........................................................................................................................................................................................................................................................................................................................................................................................................................................................
...................................................................................................................................................................................................................................c:\Python26\lib\site-packages\numpy\lib\function_base.py:185: Warning:
             The new semantics of histogram is now the default and the `new`
             keyword will be removed in NumPy 2.0.
             
   """, Warning)
....................................................................................S..................................................................................c:\Python26\lib\site-packages\scipy\stats\stats.py:420: DeprecationWarning: scipy.stats.mean is deprecated; please update your code to use numpy.mean.
Please note that:
     - numpy.mean axis argument defaults to None, not 0
     - numpy.mean has a ddof argument to replace bias in a more general manner.
       scipy.stats.mean(a, bias=True) can be replaced by numpy.mean(x,
axis=0, ddof=1).
   axis=0, ddof=1).""", DeprecationWarning)
.c:\Python26\lib\site-packages\scipy\stats\stats.py:1329: DeprecationWarning: scipy.stats.std is deprecated; please update your code to use numpy.std.
Please note that:
     - numpy.std axis argument defaults to None, not 0
     - numpy.std has a ddof argument to replace bias in a more general manner.
       scipy.stats.std(a, bias=True) can be replaced by numpy.std(x,
       axis=0, ddof=0), scipy.stats.std(a, bias=False) by numpy.std(x, axis=0,
       ddof=1).
   ddof=1).""", DeprecationWarning)
c:\Python26\lib\site-packages\scipy\stats\stats.py:1305: DeprecationWarning: scipy.stats.var is deprecated; please update your code to use numpy.var.
Please note that:
     - numpy.var axis argument defaults to None, not 0
     - numpy.var has a ddof argument to replace bias in a more general manner.
       scipy.stats.var(a, bias=True) can be replaced by numpy.var(x,
       axis=0, ddof=0), scipy.stats.var(a, bias=False) by var(x, axis=0,
       ddof=1).
   ddof=1).""", DeprecationWarning)
.c:\Python26\lib\site-packages\scipy\stats\morestats.py:603: UserWarning: Ties preclude use of exact statistic.
   warnings.warn("Ties preclude use of exact statistic.")
......c:\Python26\lib\site-packages\scipy\stats\stats.py:498: DeprecationWarning: scipy.stats.median is deprecated; please update your code to use numpy.median.
Please note that:
     - numpy.median axis argument defaults to None, not 0
     - numpy.median has a ddof argument to replace bias in a more general manner.
       scipy.stats.median(a, bias=True) can be replaced by numpy.median(x,
axis=0, ddof=1).
   axis=0, ddof=1).""", DeprecationWarning)
.....................................................................................................................................................................................................................................................Running unit tests for scipy
NumPy version 1.4.1rc2
NumPy is installed in c:\Python26\lib\site-packages\numpy
SciPy version 0.7.2rc2
SciPy is installed in c:\Python26\lib\site-packages\scipy
Python version 2.6.5 (r265:79096, Mar 19 2010, 21:48:26) [MSC v.1500 32 bit (Intel)]
nose version 0.11.0
Result may be inaccurate, approximate err = 5.76591035582e-08
Result may be inaccurate, approximate err = 1.00314019744e-10
Warning: friedmanchisquare test using Chisquared aproximation
warning: specified build_dir '_bad_path_' does not exist or is not writable. Trying default locations
warning: specified build_dir '_bad_path_' does not exist or is not writable. Trying default locations
error removing c:\users\alanis~1\appdata\local\temp\tmpal53skcat_test: c:\users\alanis~1\appdata\local\temp\tmpal53skcat_test: The directory is not empty
..................................................................................................
----------------------------------------------------------------------
Ran 3488 tests in 45.053s

OK (KNOWNFAIL=4, SKIP=32)
building extensions here: c:\users\alanis~1\appdata\local\temp\Alan Isaac\python26_compiled\m3
ATLAS version 3.8.3 built by Administrator on Sun Nov 29 23:44:07 KST 2009:
    UNAME    : CYGWIN_NT-5.1 david-70582ba55 1.5.25(0.156/4/2) 2008-06-12 19:34 i686 Cygwin
    INSTFLG  : -1 0 -a 1
    ARCHDEFS : -DATL_OS_WinNT -DATL_ARCH_Corei7 -DGCCWIN -DUseClock -DATL_SSE3 -DATL_SSE2 -DATL_SSE1 -DATL_GAS_x8632
    F2CDEFS  : -DAdd__ -DF77_INTEGER=int -DStringSunStyle
    CACHEEDGE: 524288
    F77      : g77, version GNU Fortran (GCC) 3.4.4 (cygming special, gdc 0.12, using dmd 0.125)
    F77FLAGS : -O -m32
    SMC      : gcc, version gcc (GCC) 3.4.4 (cygming special, gdc 0.12, using dmd 0.125)
    SMCFLAGS : -fomit-frame-pointer -mfpmath=sse -msse3 -O2 -fno-schedule-insns2 -m32
    SKC      : gcc, version gcc (GCC) 3.4.4 (cygming special, gdc 0.12, using dmd 0.125)
    SKCFLAGS : -fomit-frame-pointer -mfpmath=sse -msse3 -O2 -fno-schedule-insns2 -m32


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