[SciPy-Dev] ANN: Scipy 0.13.0 release candidate 1
Jack Howarth
howarth at bromo.med.uc.edu
Sat Oct 12 10:10:29 EDT 2013
On Sat, Oct 12, 2013 at 07:22:46AM +0200, Ralf Gommers wrote:
> Hi all,
>
> Hi all,
>
> I'm happy to announce the availability of the first release candidate of
> Scipy 0.13.0. Please try this RC and report any issues on the scipy-dev
> mailing list.
>
> Source tarballs, binaries and release notes can be found at
> http://sourceforge.net/projects/scipy/files/scipy/0.13.0rc1/.
>
> Thanks to everyone who helped test and fix the beta release. This is
> shaping up to be a very solid release.
>
> Cheers,
> Ralf
Ralf,
The build of the new scipy 0.13.0rc1 still produces failures on x86_64-apple-darwin12
against numpy 0.18.0rc1 with both built against Xcode 5.0's clang and FSF gfortran 4.8.1.
These are...
Running unit tests for scipy
NumPy version 1.8.0rc1
NumPy is installed in /sw/lib/python2.7/site-packages/numpy
SciPy version 0.13.0rc1
SciPy is installed in /sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy
Python version 2.7.5 (default, Oct 9 2013, 13:51:44) [GCC 4.2.1 Compatible Apple LLVM 5.0 (clang-500.2.75)]
nose version 1.3.0
/sw/lib/python2.7/site-packages/numpy/lib/utils.py:134: DeprecationWarning: `scipy.lib.blas` is deprecated, use `scipy.linalg.blas` instead!
warnings.warn(depdoc, DeprecationWarning)
/sw/lib/python2.7/site-packages/numpy/lib/utils.py:134: DeprecationWarning: `scipy.lib.lapack` is deprecated, use `scipy.linalg.lapack` instead!
warnings.warn(depdoc, DeprecationWarning)
..............................................................................................................................................................................................................................K..................................................................................................................K........................../sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/integrate/quadrature.py:67: RuntimeWarning: invalid value encountered in multiply
return (b-a)/2.0*sum(w*func(y,*args),0), None
.............................................................K..K......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SSSSSS......SSSSSS......SSSS......................................................................................0-th dimension must be fixed to 3 but got 15
..0-th dimension must be fixed to 3 but got 5
.......................S..........K..............................................................................................................................................................................................................................................................................................K....................................................................................................................................................................................F..K...../sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/linalg/_matfuncs_inv_ssq.py:817: DeprecationWarning: Implicitly casting between incompatible kinds. In a future numpy release, this will raise an error. Use casting="unsafe" if this is intentional.
U += solve_triangular(ident + beta*R, alpha*R)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/linalg/_matfuncs_inv_ssq.py:817: ComplexWarning: Casting complex values to real discards the imaginary part
U += solve_triangular(ident + beta*R, alpha*R)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/linalg/_matfuncs_inv_ssq.py:813: RuntimeWarning: invalid value encountered in multiply
weights = 0.5 * weights
E..................F.....................................................SSSSSS............S............................................................./sw/lib/python2.7/site-packages/numpy/core/_methods.py:55: RuntimeWarning: Mean of empty slice.
warnings.warn("Mean of empty slice.", RuntimeWarning)
....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................K................................................................./sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/ltisys.py:183: ComplexWarning: Casting complex values to real discards the imaginary part
num[k] = poly(A - dot(B, Ck)) + (D[k] - 1) * den
...F.../sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/dltisys.py:113: ComplexWarning: Casting complex values to real discards the imaginary part
xout[i+1,:] = np.dot(a, xout[i,:]) + np.dot(b, u_dt[i,:])
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/dltisys.py:114: ComplexWarning: Casting complex values to real discards the imaginary part
yout[i,:] = np.dot(c, xout[i,:]) + np.dot(d, u_dt[i,:])
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/dltisys.py:118: ComplexWarning: Casting complex values to real discards the imaginary part
np.dot(d, u_dt[out_samples-1,:])
F....F.................................................................E...F..............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SS....................SSSSSSSSSS.......KKKSSS.S....KKK......S..K...KKK...KKK...............S..............SSSSS..SSSS.................................SS...............SSS.SSSSSSSSSS....SSSKKKSSS.S.SSSKKK......S...SSSKKKSSSKKK...........SSS.S..............SSSSS..SSSS.................................................................................KKKK..........KKKK...............KKKK....KKKK.....................................................................................................................................................................................................................................................................................................................................................................................................................KKKK..........KKKK...............KKKK....KKKK......................................................................................................................................................................................................................................................................................................................................................................SS............SSS.SSSSSSSSSS....SSSKKKSSS.S.SSSKKK......S...SSSKKKSSSKKK......S....SSS.S..............SSSSS..SSSS...............................K..S.SSS..........SSS.KKKKSKSSKS....SSSKKKSSS...SSSKKK..........SSSKKKSSSKKK......S.....SSS.S.........K.....KSSS...KSKS................................................SSS................SSSKKK......SSSKKK...........SSSKKK...SSSKKK......S....SSS............K...............................................................................................................................................................................................................................................................................................................................................................................................SSS..................................................................................................................................................................................................................................................................................................................................................................................................................................................................../sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:221: RuntimeWarning: overflow encountered in cdouble_scalars
wfunc = lambda x: (1-x)**alpha * (1+x)**beta
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:221: RuntimeWarning: invalid value encountered in cdouble_scalars
wfunc = lambda x: (1-x)**alpha * (1+x)**beta
F........................................................................./sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py:244: RuntimeWarning: invalid value encountered in greater
pinf_x = np.isinf(x) & (x > 0)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py:245: RuntimeWarning: invalid value encountered in greater
pinf_y = np.isinf(y) & (y > 0)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py:246: RuntimeWarning: invalid value encountered in less
minf_x = np.isinf(x) & (x < 0)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py:247: RuntimeWarning: invalid value encountered in less
minf_y = np.isinf(y) & (y < 0)
........................................................................................................................................................................................................................................./sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:341: RuntimeWarning: overflow encountered in cdouble_scalars
wfunc = lambda x: exp(-x) * x**alpha
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:341: RuntimeWarning: invalid value encountered in cdouble_scalars
wfunc = lambda x: exp(-x) * x**alpha
F/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:172: RuntimeWarning: overflow encountered in square
answer.append((mu*v[0]**2)[sortind])
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:172: RuntimeWarning: invalid value encountered in multiply
answer.append((mu*v[0]**2)[sortind])
F./sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:116: RuntimeWarning: invalid value encountered in cdouble_scalars
equiv_weights = [weights[k] / wfunc(roots[k]) for k in range(len(roots))]
F........................................................................................................................................................................SSSSSSSSFFFFFF/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:417: RuntimeWarning: overflow encountered in exp
wfunc = lambda x: exp(-x*x)
FFF/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:643: RuntimeWarning: overflow encountered in cdouble_scalars
p = orthopoly1d(x,w,hn,kn,wfunc=lambda x: sqrt(1-x*x/4.0),limits=(-2,2),monic=monic)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:643: RuntimeWarning: invalid value encountered in cdouble_scalars
p = orthopoly1d(x,w,hn,kn,wfunc=lambda x: sqrt(1-x*x/4.0),limits=(-2,2),monic=monic)
F/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:532: RuntimeWarning: overflow encountered in cdouble_scalars
wfunc = lambda x: 1.0/sqrt(1-x*x)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:532: RuntimeWarning: invalid value encountered in cdouble_scalars
wfunc = lambda x: 1.0/sqrt(1-x*x)
F/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:116: RuntimeWarning: overflow encountered in cdouble_scalars
equiv_weights = [weights[k] / wfunc(roots[k]) for k in range(len(roots))]
FEEE/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:461: RuntimeWarning: overflow encountered in cdouble_scalars
wfunc = lambda x: exp(-x*x/4.0)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:461: RuntimeWarning: invalid value encountered in cdouble_scalars
wfunc = lambda x: exp(-x*x/4.0)
EEFFFF/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:286: RuntimeWarning: overflow encountered in cdouble_scalars
wfunc = lambda x: (1.0-x)**(p-q) * (x)**(q-1.)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/orthogonal.py:286: RuntimeWarning: invalid value encountered in cdouble_scalars
wfunc = lambda x: (1.0-x)**(p-q) * (x)**(q-1.)
EF.........................../sw/lib/python2.7/site-packages/numpy/core/_methods.py:77: RuntimeWarning: Degrees of freedom <= 0 for slice
warnings.warn("Degrees of freedom <= 0 for slice", RuntimeWarning)
.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................../sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/stats/distributions.py:7208: RuntimeWarning: invalid value encountered in greater_equal
return where(temp >= q, vals1, vals)
.............................................................................................../sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/stats/distributions.py:7584: RuntimeWarning: invalid value encountered in greater_equal
return where((temp >= q), vals1, vals)
............................./sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/stats/distributions.py:7357: DeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future
return (1-p)**(k-1) * p
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/stats/distributions.py:7357: DeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future
return (1-p)**(k-1) * p
..../sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/stats/distributions.py:7525: DeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future
return -p**k * 1.0 / k / log(1 - p)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/stats/distributions.py:7525: DeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future
return -p**k * 1.0 / k / log(1 - p)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/stats/distributions.py:7525: DeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future
return -p**k * 1.0 / k / log(1 - p)
/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/stats/distributions.py:7525: DeprecationWarning: converting an array with ndim > 0 to an index will result in an error in the future
return -p**k * 1.0 / k / log(1 - p)
............S..........................................................................................S...............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................K......................................................................................................
======================================================================
ERROR: test_logm_type_preservation_and_conversion (test_matfuncs.TestLogM)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/linalg/tests/test_matfuncs.py", line 176, in test_logm_type_preservation_and_conversion
A_logm, info = logm(A, disp=False)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/linalg/matfuncs.py", line 69, in logm
F = scipy.linalg._matfuncs_inv_ssq.logm(A)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/linalg/_matfuncs_inv_ssq.py", line 891, in logm
return _logm_triu(A)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/linalg/_matfuncs_inv_ssq.py", line 817, in _logm_triu
U += solve_triangular(ident + beta*R, alpha*R)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/linalg/basic.py", line 155, in solve_triangular
a1, b1 = map(np.asarray_chkfinite,(a,b))
File "/sw/lib/python2.7/site-packages/numpy/lib/function_base.py", line 595, in asarray_chkfinite
"array must not contain infs or NaNs")
ValueError: array must not contain infs or NaNs
======================================================================
ERROR: Test that bode() finds a reasonable frequency range.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/tests/test_ltisys.py", line 338, in test_05
w, mag, phase = bode(system, n=n)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/ltisys.py", line 983, in bode
w, y = freqresp(system, w=w, n=n)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/ltisys.py", line 1053, in freqresp
w, h = freqs(sys.num.ravel(), sys.den, worN=worN)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/filter_design.py", line 142, in freqs
w = findfreqs(b, a, N)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/filter_design.py", line 70, in findfreqs
1.5 * ez.imag)) + 0.5)
File "/sw/lib/python2.7/site-packages/numpy/core/fromnumeric.py", line 2130, in amax
out=out, keepdims=keepdims)
File "/sw/lib/python2.7/site-packages/numpy/core/_methods.py", line 17, in _amax
out=out, keepdims=keepdims)
ValueError: zero-size array to reduction operation maximum which has no identity
======================================================================
ERROR: test_orthogonal_eval.TestPolys.test_gegenbauer
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 93, in test_gegenbauer
rtol=1e-7)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 220, in check
got = eval_func_at_params(self.func)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 206, in eval_func_at_params
got = func(*params)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 70, in polyfunc
return func(*p)
TypeError: ufunc 'eval_gegenbauer' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
======================================================================
ERROR: test_orthogonal_eval.TestPolys.test_genlaguerre
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 137, in test_genlaguerre
param_ranges=[(-0.99, 10)], x_range=[0, 100])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 220, in check
got = eval_func_at_params(self.func)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 206, in eval_func_at_params
got = func(*params)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 70, in polyfunc
return func(*p)
TypeError: ufunc 'eval_genlaguerre' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
======================================================================
ERROR: test_orthogonal_eval.TestPolys.test_hermite
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 145, in test_hermite
param_ranges=[], x_range=[-100, 100])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 220, in check
got = eval_func_at_params(self.func)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 206, in eval_func_at_params
got = func(*params)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 70, in polyfunc
return func(*p)
TypeError: ufunc 'eval_hermite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
======================================================================
ERROR: test_orthogonal_eval.TestPolys.test_hermitenorm
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 149, in test_hermitenorm
param_ranges=[], x_range=[-100, 100])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 220, in check
got = eval_func_at_params(self.func)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 206, in eval_func_at_params
got = func(*params)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 70, in polyfunc
return func(*p)
TypeError: ufunc 'eval_hermitenorm' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
======================================================================
ERROR: test_orthogonal_eval.TestPolys.test_jacobi
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 83, in test_jacobi
rtol=1e-5)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 220, in check
got = eval_func_at_params(self.func)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 206, in eval_func_at_params
got = func(*params)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 70, in polyfunc
return func(*p)
TypeError: ufunc 'eval_jacobi' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
======================================================================
ERROR: test_orthogonal_eval.TestPolys.test_sh_jacobi
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 88, in test_sh_jacobi
rtol=1e-5)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 220, in check
got = eval_func_at_params(self.func)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 206, in eval_func_at_params
got = func(*params)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 70, in polyfunc
return func(*p)
TypeError: ufunc 'eval_sh_jacobi' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
======================================================================
FAIL: test_random_matrices_and_powers (test_matfuncs.TestFractionalMatrixPower)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/linalg/tests/test_matfuncs.py", line 422, in test_random_matrices_and_powers
assert_allclose(A_power, A_power_expm_logm)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 1181, in assert_allclose
verbose=verbose, header=header)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Not equal to tolerance rtol=1e-07, atol=0
(mismatch 100.0%)
x: array([[ 0.11206248-0.9490285j]])
y: array([[ 0.15883625+2.13345471j]])
======================================================================
FAIL: test_cases (test_solvers.TestSolveDiscreteARE)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/linalg/tests/test_solvers.py", line 132, in test_cases
self.check_case(case[0], case[1], case[2], case[3])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/linalg/tests/test_solvers.py", line 128, in check_case
a.getH()*x*a-(a.getH()*x*b)*inv(r+b.getH()*x*b)*(b.getH()*x*a)+q-x, 0.0)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 6 decimals
(mismatch 100.0%)
x: matrix([[-10357.80068892 -1.96967775e-10j, 15195.78532325 +1.77378189e+04j],
[ 15195.78532325 -1.77378189e+04j, -52669.68595223 -8.76507755e-10j]])
y: array(0.0)
======================================================================
FAIL: Test method='gbt' with alpha=0.25 for tf and zpk cases.
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/tests/test_cont2discrete.py", line 218, in test_gbt_with_sio_tf_and_zpk
assert_allclose(dnum, c2dnum)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 1181, in assert_allclose
verbose=verbose, header=header)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Not equal to tolerance rtol=1e-07, atol=0
(mismatch 100.0%)
x: array([[ 0.7, -1.4]])
y: array([[ 0. +3.72190840e-155j, 0. +2.32036032e+077j]])
======================================================================
FAIL: test_dimpulse (test_dltisys.TestDLTI)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/tests/test_dltisys.py", line 172, in test_dimpulse
assert_array_almost_equal(yout[0].flatten(), yout_tfimpulse)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 6 decimals
(mismatch 33.3333333333%)
x: array([ 0., 1., 2.])
y: array([ 0., 1., -1.])
======================================================================
FAIL: test_dstep (test_dltisys.TestDLTI)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/tests/test_dltisys.py", line 132, in test_dstep
assert_array_almost_equal(yout[0].flatten(), yout_tfstep)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 6 decimals
(mismatch 33.3333333333%)
x: array([ 0., 1., 3.])
y: array([ 0., 1., 0.])
======================================================================
FAIL: test_ltisys.Test_freqresp.test_freq_range
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/signal/tests/test_ltisys.py", line 430, in test_freq_range
assert_almost_equal(w, expected_w)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 454, in assert_almost_equal
return assert_array_almost_equal(actual, desired, decimal, err_msg)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 7 decimals
(mismatch 90.0%)
x: array([ 0.1 , 0.16681005, 0.27825594, 0.46415888,
0.77426368, 1.29154967, 2.15443469, 3.59381366,
5.9948425 , 10. ])
y: array([ 0.01 , 0.02154435, 0.04641589, 0.1 ,
0.21544347, 0.46415888, 1. , 2.15443469,
4.64158883, 10. ])
======================================================================
FAIL: test_jacobi (test_basic.TestBessel)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_basic.py", line 1892, in test_jacobi
assert_array_almost_equal(P1.c,array([a+b+2,a-b])/2.0,13)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 13 decimals
(mismatch 50.0%)
x: array([ 3.387 +0.000e+000j, -6.774 +1.054e+232j])
y: array([ 3.387, 0.685])
======================================================================
FAIL: test_genlaguerre (test_basic.TestLaguerre)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_basic.py", line 2296, in test_genlaguerre
assert_equal(lag1.c,[-1,k+1])
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 260, in assert_equal
return assert_array_equal(actual, desired, err_msg, verbose)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 718, in assert_array_equal
verbose=verbose, header='Arrays are not equal')
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
(mismatch 50.0%)
x: array([-1. +0.000e+000j, 2. -3.111e+231j])
y: array([-1. , 4.919])
======================================================================
FAIL: test_laguerre (test_basic.TestLaguerre)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_basic.py", line 2283, in test_laguerre
assert_array_almost_equal(lag1.c,[-1,1],13)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 13 decimals
(mismatch 50.0%)
x: array([-1. +0.000e+00j, 2. -1.731e-77j])
y: array([-1, 1])
======================================================================
FAIL: test_legendre (test_basic.TestLegendre)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_basic.py", line 2311, in test_legendre
assert_equal(leg1.c,[1,0])
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 260, in assert_equal
return assert_array_equal(actual, desired, err_msg, verbose)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 718, in assert_array_equal
verbose=verbose, header='Arrays are not equal')
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
(mismatch 50.0%)
x: array([ 1. +0.000e+000j, -2. +3.111e+231j])
y: array([1, 0])
======================================================================
FAIL: test_orthogonal.TestCall.test_call
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal.py", line 269, in test_call
assert_almost_equal(p(0.315), np.poly1d(p)(0.315), err_msg=pstr)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 450, in assert_almost_equal
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 7 decimals orth.jacobi(1,0.3,0.9)
ACTUAL: 0.20399999999999996
DESIRED: (-2.6960000000000002-2.0651892368036098e-231j)
======================================================================
FAIL: test_chebyc (test_orthogonal.TestCheby)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal.py", line 26, in test_chebyc
assert_array_almost_equal(C1.c,[1,0],13)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 13 decimals
(mismatch 100.0%)
x: array([-0.199+0.4j , 2.399-0.799j])
y: array([1, 0])
======================================================================
FAIL: test_chebys (test_orthogonal.TestCheby)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal.py", line 40, in test_chebys
assert_array_almost_equal(S1.c,[1,0],13)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 13 decimals
(mismatch 100.0%)
x: array([ -1.857e-155 +4.310e-78j, 2.000e+000 -8.619e-78j])
y: array([1, 0])
======================================================================
FAIL: test_chebyt (test_orthogonal.TestCheby)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal.py", line 54, in test_chebyt
assert_array_almost_equal(T1.c,[1,0],13)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 13 decimals
(mismatch 50.0%)
x: array([ 1.+0.j , -2.-2.004j])
y: array([1, 0])
======================================================================
FAIL: test_chebyu (test_orthogonal.TestCheby)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal.py", line 68, in test_chebyu
assert_array_almost_equal(U1.c,[2,0],13)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 13 decimals
(mismatch 50.0%)
x: array([ 2. +0.000e+00j, -4. +4.641e+77j])
y: array([2, 0])
======================================================================
FAIL: test_gegenbauer (test_orthogonal.TestGegenbauer)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal.py", line 89, in test_gegenbauer
assert_array_almost_equal(Ca1.c,array([2*a,0]),13)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 13 decimals
(mismatch 50.0%)
x: array([ 5.032 +0.000e+000j, -10.064 -6.495e-231j])
y: array([ 5.032, 0. ])
======================================================================
FAIL: test_hermite (test_orthogonal.TestHermite)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal.py", line 108, in test_hermite
assert_array_almost_equal(H1.c,[2,0],13)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 13 decimals
(mismatch 50.0%)
x: array([ 2. +0.000e+00j, -4. +4.641e+77j])
y: array([2, 0])
======================================================================
FAIL: test_hermitenorm (test_orthogonal.TestHermite)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal.py", line 131, in test_hermitenorm
assert_array_almost_equal(H1.c,he1.c,13)
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 811, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 644, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 13 decimals
(mismatch 50.0%)
x: array([ 1. +0.000e+000j, -2. -1.495e-154j])
y: array([ 1.000 +0.000e+00j, -2.828 +2.447e-77j])
======================================================================
FAIL: test_orthogonal_eval.TestPolys.test_chebyc
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 109, in test_chebyc
param_ranges=[], x_range=[-2, 2])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 292, in check
assert_(False, "\n".join(msg))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 44, in assert_
raise AssertionError(msg)
AssertionError:
Max |adiff|: 4
Max |rdiff|: 2
Bad results (9 out of 100) for the following points (in output 0):
(1+0j) (-2+0j) => (-2+0j) != (2-1.7238701956054301e-77j) (rdiff 2.0)
(1+0j) (0.7338517406885452+0j) => (0.7338517406885452+0j) != (2-5.456688118611782e-78j) (rdiff 0.6330741296557274)
(1+0j) (0.8508081079316008+0j) => (0.8508081079316008+0j) != (2-4.952644129420314e-78j) (rdiff 0.5745959460341996)
(1+0j) (-0.5189969808384203+0j) => (-0.5189969808384203+0j) != (2-1.0856059545218538e-77j) (rdiff 1.2594984904192101)
(1+0j) (0.24478474426249974+0j) => (0.24478474426249974+0j) != (2-7.564408165594599e-78j) (rdiff 0.8776076278687501)
(1+0j) (0.012332661231238884+0j) => (0.012332661231238884+0j) != (2-8.566201210204573e-78j) (rdiff 0.9938336693843806)
(1+0j) (-1.944926201637271+0j) => (-1.944926201637271+0j) != (2-1.7001351757163572e-77j) (rdiff 1.9724631008186355)
(1+0j) (1.0913064864494961+0j) => (1.0913064864494961+0j) != (2-3.9161741623742315e-78j) (rdiff 0.45434675677525194)
(1+0j) (1.5305647625444663+0j) => (1.5305647625444663+0j) != (2-2.0231135365413814e-78j) (rdiff 0.23471761872776686)
======================================================================
FAIL: test_orthogonal_eval.TestPolys.test_chebys
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 105, in test_chebys
param_ranges=[], x_range=[-2, 2])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 292, in check
assert_(False, "\n".join(msg))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 44, in assert_
raise AssertionError(msg)
AssertionError:
Max |adiff|: 3.94493
Max |rdiff|: 1.97246
Bad results (18 out of 100) for the following points (in output 0):
0j (-2+0j) => (inf+nanj) != (1+0j) (rdiff 0.0)
(1+0j) (-2+0j) => (inf+nanj) != (2+1.4887633576344935e-154j) (rdiff 0.0)
(1+0j) (0.7338517406885452+0j) => (0.7338517406885452+0j) != (2+4.7124878344889845e-155j) (rdiff 0.6330741296557274)
(1+0j) (0.8508081079316008+0j) => (0.8508081079316008+0j) != (2+4.277186949505224e-155j) (rdiff 0.5745959460341996)
(1+0j) (-0.5189969808384203+0j) => (-0.5189969808384203+0j) != (2+9.3754760076604e-155j) (rdiff 1.2594984904192101)
(1+0j) (0.24478474426249974+0j) => (0.24478474426249974+0j) != (2+6.532750393757624e-155j) (rdiff 0.8776076278687501)
(1+0j) (0.012332661231238884+0j) => (0.012332661231238884+0j) != (2+7.397915752814503e-155j) (rdiff 0.9938336693843806)
(1+0j) (-1.944926201637271+0j) => (-1.944926201637271+0j) != (2+1.468265394392448e-154j) (rdiff 1.9724631008186355)
(1+0j) (1.0913064864494961+0j) => (1.0913064864494961+0j) != (2+3.3820740157353426e-155j) (rdiff 0.45434675677525194)
(1+0j) (1.5305647625444663+0j) => (1.5305647625444663+0j) != (2+1.7471949507656264e-155j) (rdiff 0.23471761872776686)
(2+0j) (-2+0j) => (inf+nanj) != (3.0000000000000018+0j) (rdiff 0.0)
(3+0j) (-2+0j) => (inf+nanj) != (-3.999999999999999+0j) (rdiff 0.0)
(4+0j) (-2+0j) => (inf+nanj) != (5.000000000000003+0j) (rdiff 0.0)
(5+0j) (-2+0j) => (inf+nanj) != (-6.000000000000107+0j) (rdiff 0.0)
(6+0j) (-2+0j) => (inf+nanj) != (7.000000000000195+0j) (rdiff 0.0)
(7+0j) (-2+0j) => (inf+nanj) != (-8.000000000000094+0j) (rdiff 0.0)
(8+0j) (-2+0j) => (inf+nanj) != (9.000000000000357+0j) (rdiff 0.0)
(9+0j) (-2+0j) => (inf+nanj) != (-9.999999999999911+0j) (rdiff 0.0)
======================================================================
FAIL: test_orthogonal_eval.TestPolys.test_chebyt
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 97, in test_chebyt
param_ranges=[], x_range=[-1, 1])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 292, in check
assert_(False, "\n".join(msg))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 44, in assert_
raise AssertionError(msg)
AssertionError:
Max |adiff|: 2.68679e+154
Max |rdiff|: 1
Bad results (10 out of 100) for the following points (in output 0):
(1+0j) (-1+0j) => (-1+0j) != (-3-2.6867936932272034e+154j) (rdiff 1.0)
(1+0j) (1+0j) => (1+0j) != (-1-2.6867936932272034e+154j) (rdiff 1.0)
(1+0j) (0.3669258703442726+0j) => (0.3669258703442726+0j) != (-1.6330741296557274-2.6867936932272034e+154j) (rdiff 1.0)
(1+0j) (0.4254040539658004+0j) => (0.4254040539658004+0j) != (-1.5745959460341996-2.6867936932272034e+154j) (rdiff 1.0)
(1+0j) (-0.25949849041921014+0j) => (-0.25949849041921014+0j) != (-2.25949849041921-2.6867936932272034e+154j) (rdiff 1.0)
(1+0j) (0.12239237213124987+0j) => (0.12239237213124987+0j) != (-1.8776076278687501-2.6867936932272034e+154j) (rdiff 1.0)
(1+0j) (0.006166330615619442+0j) => (0.006166330615619442+0j) != (-1.9938336693843806-2.6867936932272034e+154j) (rdiff 1.0)
(1+0j) (-0.9724631008186355+0j) => (-0.9724631008186355+0j) != (-2.9724631008186355-2.6867936932272034e+154j) (rdiff 1.0)
(1+0j) (0.5456532432247481+0j) => (0.5456532432247481+0j) != (-1.454346756775252-2.6867936932272034e+154j) (rdiff 1.0)
(1+0j) (0.7652823812722331+0j) => (0.7652823812722331+0j) != (-1.2347176187277669-2.6867936932272034e+154j) (rdiff 1.0)
======================================================================
FAIL: test_orthogonal_eval.TestPolys.test_chebyu
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 101, in test_chebyu
param_ranges=[], x_range=[-1, 1])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 292, in check
assert_(False, "\n".join(msg))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 44, in assert_
raise AssertionError(msg)
AssertionError:
Max |adiff|: 5.37359e+154
Max |rdiff|: 1
Bad results (19 out of 100) for the following points (in output 0):
0j (-1+0j) => (inf+nanj) != (1+0j) (rdiff 0.0)
(1+0j) (-1+0j) => (inf+nanj) != (-6-5.373587386454407e+154j) (rdiff 0.0)
(1+0j) (1+0j) => (2+0j) != (-2-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.3669258703442726+0j) => (0.7338517406885452+0j) != (-3.266148259311455-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.4254040539658004+0j) => (0.8508081079316008+0j) != (-3.1491918920683992-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (-0.25949849041921014+0j) => (-0.5189969808384203+0j) != (-4.51899698083842-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.12239237213124987+0j) => (0.24478474426249974+0j) != (-3.7552152557375003-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.006166330615619442+0j) => (0.012332661231238884+0j) != (-3.987667338768761-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (-0.9724631008186355+0j) => (-1.944926201637271+0j) != (-5.944926201637271-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.5456532432247481+0j) => (1.0913064864494961+0j) != (-2.908693513550504-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.7652823812722331+0j) => (1.5305647625444663+0j) != (-2.4694352374555337-5.373587386454407e+154j) (rdiff 1.0)
(2+0j) (-1+0j) => (inf+nanj) != (3+0j) (rdiff 0.0)
(3+0j) (-1+0j) => (inf+nanj) != (-3.999999999999999+0j) (rdiff 0.0)
(4+0j) (-1+0j) => (inf+nanj) != (5.0000000000000115+0j) (rdiff 0.0)
(5+0j) (-1+0j) => (inf+nanj) != (-6.000000000000044+0j) (rdiff 0.0)
(6+0j) (-1+0j) => (inf+nanj) != (7.000000000000111+0j) (rdiff 0.0)
(7+0j) (-1+0j) => (inf+nanj) != (-8.000000000000083+0j) (rdiff 0.0)
(8+0j) (-1+0j) => (inf+nanj) != (9.000000000000327+0j) (rdiff 0.0)
(9+0j) (-1+0j) => (inf+nanj) != (-9.99999999999974+0j) (rdiff 0.0)
======================================================================
FAIL: test_orthogonal_eval.TestPolys.test_laguerre
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 141, in test_laguerre
param_ranges=[], x_range=[0, 100])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 292, in check
assert_(False, "\n".join(msg))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 44, in assert_
raise AssertionError(msg)
AssertionError:
Max |adiff|: 2.68679e+154
Max |rdiff|: 1
Bad results (10 out of 100) for the following points (in output 0):
(1+0j) 0j => (1+0j) != (2-2.68679369322713e+154j) (rdiff 1.0)
(1+0j) (100+0j) => (-99+0j) != (-98-2.68679369322713e+154j) (rdiff 1.0)
(1+0j) (68.34629351721362+0j) => (-67.34629351721362+0j) != (-66.34629351721362-2.68679369322713e+154j) (rdiff 1.0)
(1+0j) (71.27020269829002+0j) => (-70.27020269829002+0j) != (-69.27020269829002-2.68679369322713e+154j) (rdiff 1.0)
(1+0j) (37.025075479039494+0j) => (-36.025075479039494+0j) != (-35.025075479039494-2.68679369322713e+154j) (rdiff 1.0)
(1+0j) (56.1196186065625+0j) => (-55.1196186065625+0j) != (-54.1196186065625-2.68679369322713e+154j) (rdiff 1.0)
(1+0j) (50.30831653078097+0j) => (-49.30831653078097+0j) != (-48.30831653078097-2.68679369322713e+154j) (rdiff 1.0)
(1+0j) (1.3768449590682241+0j) => (-0.37684495906822413+0j) != (0.6231550409317759-2.68679369322713e+154j) (rdiff 1.0)
(1+0j) (77.2826621612374+0j) => (-76.2826621612374+0j) != (-75.2826621612374-2.68679369322713e+154j) (rdiff 1.0)
(1+0j) (88.26411906361166+0j) => (-87.26411906361166+0j) != (-86.26411906361166-2.68679369322713e+154j) (rdiff 1.0)
======================================================================
FAIL: test_orthogonal_eval.TestPolys.test_legendre
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 125, in test_legendre
param_ranges=[], x_range=[-1, 1])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 292, in check
assert_(False, "\n".join(msg))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 44, in assert_
raise AssertionError(msg)
AssertionError:
Max |adiff|: 2
Max |rdiff|: 2
Bad results (19 out of 100) for the following points (in output 0):
0j (-1+0j) => (inf+nanj) != (1+0j) (rdiff 0.0)
(1+0j) (-1+0j) => (inf+nanj) != (-3-1.290743273001376e-231j) (rdiff 0.0)
(1+0j) (1+0j) => (1+0j) != (-1-1.290743273001376e-231j) (rdiff 2.0)
(1+0j) (0.3669258703442726+0j) => (0.3669258703442726+0j) != (-1.6330741296557274-1.290743273001376e-231j) (rdiff 1.2246841485521696)
(1+0j) (0.4254040539658004+0j) => (0.4254040539658004+0j) != (-1.5745959460341996-1.290743273001376e-231j) (rdiff 1.2701671213095838)
(1+0j) (-0.25949849041921014+0j) => (-0.25949849041921014+0j) != (-2.25949849041921-1.290743273001376e-231j) (rdiff 0.8851521735820833)
(1+0j) (0.12239237213124987+0j) => (0.12239237213124987+0j) != (-1.8776076278687501-1.290743273001376e-231j) (rdiff 1.0651852763669138)
(1+0j) (0.006166330615619442+0j) => (0.006166330615619442+0j) != (-1.9938336693843806-1.290743273001376e-231j) (rdiff 1.0030927006150534)
(1+0j) (-0.9724631008186355+0j) => (-0.9724631008186355+0j) != (-2.9724631008186355-1.290743273001376e-231j) (rdiff 0.6728426668943971)
(1+0j) (0.5456532432247481+0j) => (0.5456532432247481+0j) != (-1.454346756775252-1.290743273001376e-231j) (rdiff 1.3751878571480671)
(1+0j) (0.7652823812722331+0j) => (0.7652823812722331+0j) != (-1.2347176187277669-1.290743273001376e-231j) (rdiff 1.6198035645273838)
(2+0j) (-1+0j) => (inf+nanj) != (1+0j) (rdiff 0.0)
(3+0j) (-1+0j) => (inf+nanj) != (-0.9999999999999994+0j) (rdiff 0.0)
(4+0j) (-1+0j) => (inf+nanj) != (0.9999999999999976+0j) (rdiff 0.0)
(5+0j) (-1+0j) => (inf+nanj) != (-0.9999999999999993+0j) (rdiff 0.0)
(6+0j) (-1+0j) => (inf+nanj) != (1.0000000000000102+0j) (rdiff 0.0)
(7+0j) (-1+0j) => (inf+nanj) != (-1.0000000000000346+0j) (rdiff 0.0)
(8+0j) (-1+0j) => (inf+nanj) != (0.9999999999998197+0j) (rdiff 0.0)
(9+0j) (-1+0j) => (inf+nanj) != (-1.000000000000452+0j) (rdiff 0.0)
======================================================================
FAIL: test_orthogonal_eval.TestPolys.test_sh_chebyt
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 115, in test_sh_chebyt
param_ranges=[], x_range=[0, 1])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 292, in check
assert_(False, "\n".join(msg))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 44, in assert_
raise AssertionError(msg)
AssertionError:
Max |adiff|: 4.64072e+77
Max |rdiff|: 1
Bad results (10 out of 100) for the following points (in output 0):
(1+0j) 0j => (-1+0j) != (-4+4.640720641493804e+77j) (rdiff 1.0)
(1+0j) (1+0j) => (1+0j) != (-2+4.640720641493804e+77j) (rdiff 1.0)
(1+0j) (0.6834629351721363+0j) => (0.3669258703442726+0j) != (-2.6330741296557276+4.640720641493804e+77j) (rdiff 1.0)
(1+0j) (0.7127020269829002+0j) => (0.4254040539658004+0j) != (-2.5745959460342+4.640720641493804e+77j) (rdiff 1.0)
(1+0j) (0.37025075479039493+0j) => (-0.25949849041921014+0j) != (-3.25949849041921+4.640720641493804e+77j) (rdiff 1.0)
(1+0j) (0.5611961860656249+0j) => (0.12239237213124987+0j) != (-2.87760762786875+4.640720641493804e+77j) (rdiff 1.0)
(1+0j) (0.5030831653078097+0j) => (0.006166330615619442+0j) != (-2.9938336693843803+4.640720641493804e+77j) (rdiff 1.0)
(1+0j) (0.013768449590682241+0j) => (-0.9724631008186355+0j) != (-3.9724631008186355+4.640720641493804e+77j) (rdiff 1.0)
(1+0j) (0.772826621612374+0j) => (0.5456532432247481+0j) != (-2.454346756775252+4.640720641493804e+77j) (rdiff 1.0)
(1+0j) (0.8826411906361166+0j) => (0.7652823812722331+0j) != (-2.2347176187277666+4.640720641493804e+77j) (rdiff 1.0)
======================================================================
FAIL: test_orthogonal_eval.TestPolys.test_sh_chebyu
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 121, in test_sh_chebyu
param_ranges=[], x_range=[0, 1])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 292, in check
assert_(False, "\n".join(msg))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 44, in assert_
raise AssertionError(msg)
AssertionError:
Max |adiff|: 9.28144e+77
Max |rdiff|: 1
Bad results (19 out of 100) for the following points (in output 0):
0j 0j => (inf+nanj) != (1+0j) (rdiff 0.0)
(1+0j) 0j => (inf+nanj) != (-8-9.281441282985194e+77j) (rdiff 0.0)
(1+0j) (1+0j) => (2+0j) != (-4-9.281441282985194e+77j) (rdiff 1.0)
(1+0j) (0.6834629351721363+0j) => (0.7338517406885452+0j) != (-5.266148259311455-9.281441282985194e+77j) (rdiff 1.0)
(1+0j) (0.7127020269829002+0j) => (0.8508081079316008+0j) != (-5.1491918920684-9.281441282985194e+77j) (rdiff 1.0)
(1+0j) (0.37025075479039493+0j) => (-0.5189969808384203+0j) != (-6.51899698083842-9.281441282985194e+77j) (rdiff 1.0)
(1+0j) (0.5611961860656249+0j) => (0.24478474426249974+0j) != (-5.7552152557375-9.281441282985194e+77j) (rdiff 1.0)
(1+0j) (0.5030831653078097+0j) => (0.012332661231238884+0j) != (-5.987667338768761-9.281441282985194e+77j) (rdiff 1.0)
(1+0j) (0.013768449590682241+0j) => (-1.944926201637271+0j) != (-7.944926201637271-9.281441282985194e+77j) (rdiff 1.0)
(1+0j) (0.772826621612374+0j) => (1.0913064864494961+0j) != (-4.908693513550504-9.281441282985194e+77j) (rdiff 1.0)
(1+0j) (0.8826411906361166+0j) => (1.5305647625444663+0j) != (-4.469435237455533-9.281441282985194e+77j) (rdiff 1.0)
(2+0j) 0j => (inf+nanj) != (3+0j) (rdiff 0.0)
(3+0j) 0j => (inf+nanj) != (-3.9999999999999942+0j) (rdiff 0.0)
(4+0j) 0j => (inf+nanj) != (4.999999999999999+0j) (rdiff 0.0)
(5+0j) 0j => (inf+nanj) != (-5.999999999999972+0j) (rdiff 0.0)
(6+0j) 0j => (inf+nanj) != (6.999999999999943+0j) (rdiff 0.0)
(7+0j) 0j => (inf+nanj) != (-8.000000000000012+0j) (rdiff 0.0)
(8+0j) 0j => (inf+nanj) != (8.999999999999902+0j) (rdiff 0.0)
(9+0j) 0j => (inf+nanj) != (-9.999999999999954+0j) (rdiff 0.0)
======================================================================
FAIL: test_orthogonal_eval.TestPolys.test_sh_legendre
----------------------------------------------------------------------
Traceback (most recent call last):
File "/sw/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 131, in test_sh_legendre
param_ranges=[], x_range=[0, 1])
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/tests/test_orthogonal_eval.py", line 76, in check_poly
ds.check()
File "/sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy/special/_testutils.py", line 292, in check
assert_(False, "\n".join(msg))
File "/sw/lib/python2.7/site-packages/numpy/testing/utils.py", line 44, in assert_
raise AssertionError(msg)
AssertionError:
Max |adiff|: 5.37359e+154
Max |rdiff|: 1
Bad results (19 out of 100) for the following points (in output 0):
0j 0j => (inf+nanj) != (1+0j) (rdiff 0.0)
(1+0j) 0j => (inf+nanj) != (-4-5.373587386454407e+154j) (rdiff 0.0)
(1+0j) (1+0j) => (1+0j) != (-2-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.6834629351721363+0j) => (0.3669258703442726+0j) != (-2.6330741296557276-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.7127020269829002+0j) => (0.4254040539658004+0j) != (-2.5745959460342-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.37025075479039493+0j) => (-0.25949849041921014+0j) != (-3.25949849041921-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.5611961860656249+0j) => (0.12239237213124987+0j) != (-2.87760762786875-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.5030831653078097+0j) => (0.006166330615619442+0j) != (-2.9938336693843803-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.013768449590682241+0j) => (-0.9724631008186355+0j) != (-3.9724631008186355-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.772826621612374+0j) => (0.5456532432247481+0j) != (-2.454346756775252-5.373587386454407e+154j) (rdiff 1.0)
(1+0j) (0.8826411906361166+0j) => (0.7652823812722331+0j) != (-2.2347176187277666-5.373587386454407e+154j) (rdiff 1.0)
(2+0j) 0j => (inf+nanj) != (1.0000000000000002+0j) (rdiff 0.0)
(3+0j) 0j => (inf+nanj) != (-1.0000000000000004+0j) (rdiff 0.0)
(4+0j) 0j => (inf+nanj) != (1.0000000000000007+0j) (rdiff 0.0)
(5+0j) 0j => (inf+nanj) != (-1.0000000000000007+0j) (rdiff 0.0)
(6+0j) 0j => (inf+nanj) != (1.0000000000000029+0j) (rdiff 0.0)
(7+0j) 0j => (inf+nanj) != (-1.0000000000000016+0j) (rdiff 0.0)
(8+0j) 0j => (inf+nanj) != (1.000000000000002+0j) (rdiff 0.0)
(9+0j) 0j => (inf+nanj) != (-1.0000000000000013+0j) (rdiff 0.0)
----------------------------------------------------------------------
Ran 8931 tests in 163.398s
FAILED (KNOWNFAIL=114, SKIP=210, errors=8, failures=27)
Reverting the numpy to 1.7.1 eliminates the scipy 0.13.0rc1 failures producing the following results.
Running unit tests for scipy
NumPy version 1.7.1
NumPy is installed in /sw/lib/python2.7/site-packages/numpy
SciPy version 0.13.0rc1
SciPy is installed in /sw/src/fink.build/root-scipy-py27-0.13.0rc1-0/sw/lib/python2.7/site-packages/scipy
Python version 2.7.5 (default, Oct 9 2013, 13:51:44) [GCC 4.2.1 Compatible Apple LLVM 5.0 (clang-500.2.75)]
nose version 1.3.0
/sw/lib/python2.7/site-packages/numpy/lib/utils.py:139: DeprecationWarning: `scipy.lib.blas` is deprecated, use `scipy.linalg.blas` instead!
warnings.warn(depdoc, DeprecationWarning)
/sw/lib/python2.7/site-packages/numpy/lib/utils.py:139: DeprecationWarning: `scipy.lib.lapack` is deprecated, use `scipy.linalg.lapack` instead!
warnings.warn(depdoc, DeprecationWarning)
..............................................................................................................................................................................................................................K..................................................................................................................K.......................................................................................K..K......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SSSSSS......SSSSSS......SSSS......................................................................................0-th dimension must be fixed to 3 but got 15
..0-th dimension must be fixed to 3 but got 5
.......................S..........K..............................................................................................................................................................................................................................................................................................K.......................................................................................................................................................................................K..............................................................................SSSSSS............S.................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................K..................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SS....................SSSSSSSSSS.......KKKSSS.S....KKK......S..K...KKK...KKK...............S..............SSSSS..SSSS.................................SS...............SSS.SSSSSSSSSS....SSSKKKSSS.S.SSSKKK......S...SSSKKKSSSKKK...........SSS.S..............SSSSS..SSSS.................................................................................KKKK..........KKKK...............KKKK....KKKK.....................................................................................................................................................................................................................................................................................................................................................................................................................KKKK..........KKKK...............KKKK....KKKK......................................................................................................................................................................................................................................................................................................................................................................SS............SSS.SSSSSSSSSS....SSSKKKSSS.S.SSSKKK......S...SSSKKKSSSKKK......S....SSS.S..............SSSSS..SSSS...............................K..S.SSS..........SSS.KKKKSKSSKS....SSSKKKSSS...SSSKKK..........SSSKKKSSSKKK......S.....SSS.S.........K.....KSSS...KSKS................................................SSS................SSSKKK......SSSKKK...........SSSKKK...SSSKKK......S....SSS............K...............................................................................................................................................................................................................................................................................................................................................................................................SSS...................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................SSSSSSSS.............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................S..........................................................................................S...............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................K......................................................................................................
----------------------------------------------------------------------
Ran 8931 tests in 161.814s
OK (KNOWNFAIL=114, SKIP=210)
These builds are against python 2.7.5.
>
>
>
> ==========================
> SciPy 0.13.0 Release Notes
> ==========================
>
> .. note:: Scipy 0.13.0 is not released yet!
>
> .. contents::
>
> SciPy 0.13.0 is the culmination of 7 months of hard work. It contains
> many new features, numerous bug-fixes, improved test coverage and
> better documentation. There have been a number of deprecations and
> API changes in this release, which are documented below. All users
> are encouraged to upgrade to this release, as there are a large number
> of bug-fixes and optimizations. Moreover, our development attention
> will now shift to bug-fix releases on the 0.13.x branch, and on adding
> new features on the master branch.
>
> This release requires Python 2.6, 2.7 or 3.1-3.3 and NumPy 1.5.1 or greater.
>
>
> New features
> ============
>
> ``scipy.integrate`` improvements
> --------------------------------
>
> N-dimensional numerical integration
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>
> A new function `scipy.integrate.nquad`, which provides N-dimensional
> integration functionality with a more flexible interface than ``dblquad``
> and
> ``tplquad``, has been added.
>
> ``dopri*`` improvements
> ^^^^^^^^^^^^^^^^^^^^^^^
>
> The intermediate results from the ``dopri`` family of ODE solvers can now be
> accessed by a *solout* callback function.
>
>
> ``scipy.linalg`` improvements
> -----------------------------
>
> Interpolative decompositions
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>
> Scipy now includes a new module `scipy.linalg.interpolative`
> containing routines for computing interpolative matrix decompositions
> (ID). This feature is based on the ID software package by
> P.G. Martinsson, V. Rokhlin, Y. Shkolnisky, and M. Tygert, previously
> adapted for Python in the PymatrixId package by K.L. Ho.
>
> Polar decomposition
> ^^^^^^^^^^^^^^^^^^^
>
> A new function `scipy.linalg.polar`, to compute the polar decomposition
> of a matrix, was added.
>
> BLAS level 3 functions
> ^^^^^^^^^^^^^^^^^^^^^^
>
> The BLAS functions ``symm``, ``syrk``, ``syr2k``, ``hemm``, ``herk`` and
> ``her2k`` are now wrapped in `scipy.linalg`.
>
> Matrix functions
> ^^^^^^^^^^^^^^^^
>
> Several matrix function algorithms have been implemented or updated
> following
> detailed descriptions in recent papers of Nick Higham and his co-authors.
> These include the matrix square root (``sqrtm``), the matrix logarithm
> (``logm``), the matrix exponential (``expm``) and its Frechet derivative
> (``expm_frechet``), and fractional matrix powers
> (``fractional_matrix_power``).
>
>
> ``scipy.optimize`` improvements
> -------------------------------
>
> Trust-region unconstrained minimization algorithms
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>
> The ``minimize`` function gained two trust-region solvers for unconstrained
> minimization: ``dogleg`` and ``trust-ncg``.
>
>
> ``scipy.sparse`` improvements
> -----------------------------
>
> Boolean comparisons and sparse matrices
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>
> All sparse matrix types now support boolean data, and boolean operations.
> Two
> sparse matrices `A` and `B` can be compared in all the expected ways `A <
> B`,
> `A >= B`, `A != B`, producing similar results as dense Numpy arrays.
> Comparisons with dense matrices and scalars are also supported.
>
> CSR and CSC fancy indexing
> ^^^^^^^^^^^^^^^^^^^^^^^^^^
>
> Compressed sparse row and column sparse matrix types now support fancy
> indexing
> with boolean matrices, slices, and lists. So where A is a (CSC or CSR)
> sparse
> matrix, you can do things like::
>
> >>> A[A > 0.5] = 1 # since Boolean sparse matrices work
> >>> A[:2, :3] = 2
> >>> A[[1,2], 2] = 3
>
>
> ``scipy.sparse.linalg`` improvements
> ------------------------------------
>
> The new function ``onenormest`` provides a lower bound of the 1-norm of a
> linear operator and has been implemented according to Higham and Tisseur
> (2000). This function is not only useful for sparse matrices, but can also
> be
> used to estimate the norm of products or powers of dense matrices without
> explictly building the intermediate matrix.
>
> The multiplicative action of the matrix exponential of a linear operator
> (``expm_multiply``) has been implemented following the description in
> Al-Mohy
> and Higham (2011).
>
> Abstract linear operators (`scipy.sparse.linalg.LinearOperator`) can now be
> multiplied, added to each other, and exponentiated, producing new linear
> operators. This enables easier construction of composite linear operations.
>
>
> ``scipy.spatial`` improvements
> ------------------------------
>
> The vertices of a `ConvexHull` can now be accessed via the `vertices`
> attribute,
> which gives proper orientation in 2-D.
>
>
> ``scipy.signal`` improvements
> -----------------------------
>
> The cosine window function `scipy.signal.cosine` was added.
>
>
> ``scipy.special`` improvements
> ------------------------------
>
> New functions `scipy.special.xlogy` and `scipy.special.xlog1py` were added.
> These functions can simplify and speed up code that has to calculate
> ``x * log(y)`` and give 0 when ``x == 0``.
>
>
> ``scipy.io`` improvements
> -------------------------
>
> Unformatted Fortran file reader
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>
> The new class `scipy.io.FortranFile` facilitates reading unformatted
> sequential files written by Fortran code.
>
> ``scipy.io.wavfile`` enhancements
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>
> `scipy.io.wavfile.write` now accepts a file buffer. Previously it only
> accepted a filename.
>
> `scipy.io.wavfile.read` and `scipy.io.wavfile.write` can now handle floating
> point WAV files.
>
>
> ``scipy.interpolate`` improvements
> ----------------------------------
>
> B-spline derivatives and antiderivatives
> ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
>
> `scipy.interpolate.splder` and `scipy.interpolate.splantider` functions
> for computing B-splines that represent derivatives and antiderivatives
> of B-splines were added. These functions are also available in the
> class-based FITPACK interface as ``UnivariateSpline.derivative`` and
> ``UnivariateSpline.antiderivative``.
>
>
> ``scipy.stats`` improvements
> ----------------------------
>
> Distributions now allow using keyword parameters in addition to
> positional parameters in all methods.
>
> The function `scipy.stats.power_divergence` has been added for the
> Cressie-Read power divergence statistic and goodness of fit test.
> Included in this family of statistics is the "G-test"
> (http://en.wikipedia.org/wiki/G-test).
>
> `scipy.stats.mood` now accepts multidimensional input.
>
> An option was added to `scipy.stats.wilcoxon` for continuity correction.
>
> `scipy.stats.chisquare` now has an `axis` argument.
>
> `scipy.stats.mstats.chisquare` now has `axis` and `ddof` arguments.
>
>
> Deprecated features
> ===================
>
> ``expm2`` and ``expm3``
> -----------------------
>
> The matrix exponential functions `scipy.linalg.expm2` and
> `scipy.linalg.expm3`
> are deprecated. All users should use the numerically more robust
> `scipy.linalg.expm` function instead.
>
> ``scipy.stats`` functions
> -------------------------
>
> `scipy.stats.oneway` is deprecated; `scipy.stats.f_oneway` should be used
> instead.
>
> `scipy.stats.glm` is deprecated. `scipy.stats.ttest_ind` is an equivalent
> function; more full-featured general (and generalized) linear model
> implementations can be found in statsmodels.
>
> `scipy.stats.cmedian` is deprecated; ``numpy.median`` should be used
> instead.
>
>
> Backwards incompatible changes
> ==============================
>
> LIL matrix assignment
> ---------------------
> Assigning values to LIL matrices with two index arrays now works similarly
> as
> assigning into ndarrays::
>
> >>> x = lil_matrix((3, 3))
> >>> x[[0,1,2],[0,1,2]]=[0,1,2]
> >>> x.todense()
> matrix([[ 0., 0., 0.],
> [ 0., 1., 0.],
> [ 0., 0., 2.]])
>
> rather than giving the result::
>
> >>> x.todense()
> matrix([[ 0., 1., 2.],
> [ 0., 1., 2.],
> [ 0., 1., 2.]])
>
> Users relying on the previous behavior will need to revisit their code.
> The previous behavior is obtained by ``x[numpy.ix_([0,1,2],[0,1,2])] = ...`.
>
>
> Deprecated ``radon`` function removed
> -------------------------------------
>
> The ``misc.radon`` function, which was deprecated in scipy 0.11.0, has been
> removed. Users can find a more full-featured ``radon`` function in
> scikit-image.
>
>
> Removed deprecated keywords ``xa`` and ``xb`` from ``stats.distributions``
> --------------------------------------------------------------------------
>
> The keywords ``xa`` and ``xb``, which were deprecated since 0.11.0, have
> been removed from the distributions in ``scipy.stats``.
>
> Changes to MATLAB file readers / writers
> ----------------------------------------
>
> The major change is that 1D arrays in numpy now become row vectors (shape
> 1, N)
> when saved to a MATLAB 5 format file. Previously 1D arrays saved as column
> vectors (N, 1). This is to harmonize the behavior of writing MATLAB 4 and 5
> formats, and adapt to the defaults of numpy and MATLAB - for example
> ``np.atleast_2d`` returns 1D arrays as row vectors.
>
> Trying to save arrays of greater than 2 dimensions in MATLAB 4 format now
> raises
> an error instead of silently reshaping the array as 2D.
>
> ``scipy.io.loadmat('afile')`` used to look for `afile` on the Python system
> path
> (``sys.path``); now ``loadmat`` only looks in the current directory for a
> relative path filename.
>
> Other changes
> =============
>
> Security fix: ``scipy.weave`` previously used temporary directories in an
> insecure manner under certain circumstances.
>
> Cython is now required to build *unreleased* versions of scipy.
> The C files generated from Cython sources are not included in the git repo
> anymore. They are however still shipped in source releases.
>
> The code base received a fairly large PEP8 cleanup. A ``tox pep8``
> command has been added; new code should pass this test command.
>
> Authors
> =======
>
> This release contains work by the following people (contributed at least
> one patch to this release, names in alphabetical order):
>
> * Jorge Cañardo Alastuey +
> * Tom Aldcroft +
> * Max Bolingbroke +
> * Joseph Jon Booker +
> * François Boulogne
> * Matthew Brett
> * Christian Brodbeck +
> * Per Brodtkorb +
> * Christian Brueffer +
> * Lars Buitinck
> * Evgeni Burovski +
> * Tim Cera
> * Lawrence Chan +
> * David Cournapeau
> * Dražen Lučanin +
> * Alexander J. Dunlap +
> * endolith
> * André Gaul +
> * Christoph Gohlke
> * Ralf Gommers
> * Alex Griffing +
> * Blake Griffith +
> * Charles Harris
> * Bob Helmbold +
> * Andreas Hilboll
> * Kat Huang +
> * Oleksandr (Sasha) Huziy +
> * Gert-Ludwig Ingold +
> * Thouis (Ray) Jones
> * Juan Luis Cano Rodríguez +
> * Robert Kern
> * Andreas Kloeckner +
> * Sytse Knypstra +
> * Gustav Larsson +
> * Denis Laxalde
> * Christopher Lee
> * Tim Leslie
> * Wendy Liu +
> * Clemens Novak +
> * Takuya Oshima +
> * Josef Perktold
> * Illia Polosukhin +
> * Przemek Porebski +
> * Steve Richardson +
> * Branden Rolston +
> * Skipper Seabold
> * Fazlul Shahriar
> * Leo Singer +
> * Rohit Sivaprasad +
> * Daniel B. Smith +
> * Julian Taylor
> * Louis Thibault +
> * Tomas Tomecek +
> * John Travers
> * Richard Tsai +
> * Jacob Vanderplas
> * Patrick Varilly
> * Pauli Virtanen
> * Stefan van der Walt
> * Warren Weckesser
> * Pedro Werneck +
> * Nils Werner +
> * Michael Wimmer +
> * Nathan Woods +
> * Tony S. Yu +
>
> A total of 65 people contributed to this release.
> People with a "+" by their names contributed a patch for the first time.
> _______________________________________________
> SciPy-Dev mailing list
> SciPy-Dev at scipy.org
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