[SciPy-Dev] test output - io and stats
Ralf Gommers
ralf.gommers at googlemail.com
Sat May 15 00:04:54 EDT 2010
Hi,
In two weeks we'll create the 0.8 branch, and it would be good to have the
test output cleaned up before then. It is very noisy, the main offenders are
the io and stats modules. Output pasted below, most of it is deprecations
and future warnings.
Matthew and Josef, will you have time for some spring cleaning in the next
few weeks?
Thanks,
Ralf
Running unit tests for scipy
NumPy version 1.4.1
NumPy is installed in
/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/numpy
SciPy version 0.8.0.dev
SciPy is installed in /Users/rgommers/Code/scipy/scipy
Python version 2.6.4 (r264:75821M, Oct 27 2009, 19:48:32) [GCC 4.0.1 (Apple
Inc. build 5493)]
nose version 0.11.1
.............................................................................................................................................................................................................................................................................../Users/rgommers/Code/scipy/scipy/interpolate/fitpack2.py:512:
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)
...../Users/rgommers/Code/scipy/scipy/interpolate/fitpack2.py:453:
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................................................................................................................/Users/rgommers/Code/scipy/scipy/io/matlab/mio.py:190:
FutureWarning: Using oned_as default value ('column') This will change to
'row' in future versions
oned_as=oned_as)
........................./Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:435:
FutureWarning: Using oned_as default value ('column') This will change to
'row' in future versions
mfw = MatFile5Writer(StringIO())
....../Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:450:
FutureWarning: Using oned_as default value ('column') This will change to
'row' in future versions
wtr = MatFile5Writer(sio)
../Users/rgommers/Code/scipy/scipy/io/matlab/mio.py:99: FutureWarning: Using
struct_as_record default value (False) This will change to True in future
versions
return MatFile5Reader(byte_stream, **kwargs)
.............................../Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:633:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(stream)
./Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:637:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(stream, squeeze_me=True)
../Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:641:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(stream, byte_order=boc.native_code)
./Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:645:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(stream, byte_order=boc.swapped_code)
../Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:652:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(stream)
./Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:654:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(stream, chars_as_strings=False)
../Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:664:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(file(estring_fname))
./Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:674:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(stream)
./Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:679:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(stream)
../Users/rgommers/Code/scipy/scipy/io/matlab/mio4.py:338:
DeprecationWarning: Matlab 4 files only support <=2 dimensions; future
versions of scipy will raise an error when trying to write >2D arrays to
matlab 4 format files
DeprecationWarning,
./Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:699:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(file(func_eg))
./Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:703:
FutureWarning: Using oned_as default value ('column') This will change to
'row' in future versions
wtr = MatFile5Writer(stream)
./Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:709:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(file(double_eg), mat_dtype=False)
./Users/rgommers/Code/scipy/scipy/io/matlab/tests/test_mio.py:712:
FutureWarning: Using struct_as_record default value (False) This will change
to True in future versions
rdr = MatFile5Reader(file(double_eg), mat_dtype=True)
.................................................................................................................................Warning:
1000000 bytes requested, 20 bytes read.
./Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/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)
/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/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)
...........................................Exception AttributeError:
"'netcdf_file' object has no attribute 'mode'" in <bound method
netcdf_file.close of <scipy.io.netcdf.netcdf_file object at 0x56c9750>>
ignored
............/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/numpy/lib/utils.py:140:
DeprecationWarning: `npfile` is deprecated!
You can achieve the same effect as using npfile using numpy.save and
numpy.load.
You can use memory-mapped arrays and data-types to map out a
file format for direct manipulation in NumPy.
warnings.warn(depdoc, DeprecationWarning)
........./Users/rgommers/Code/scipy/scipy/io/wavfile.py:20: WavFileWarning:
Unfamiliar format bytes
warnings.warn("Unfamiliar format bytes", WavFileWarning)
/Users/rgommers/Code/scipy/scipy/io/wavfile.py:92: WavFileWarning: chunk not
understood
warnings.warn("chunk not understood", WavFileWarning)
...[14 36 39 56 57] [14 36 39 56 57]
.[[ 26 10]
[ 42 104]
[ 1 102]
[ 92 5]
[ 72 95]] [[ 26 10]
[ 42 104]
[ 1 102]
[ 92 5]
[ 72 95]]
.[[ 9 82 2 84 43]
[122 86 18 41 79]
[ 95 99 69 100 40]
[126 9 124 38 65]
[ 59 80 90 122 85]] [[ 9 82 2 84 43]
[122 86 18 41 79]
[ 95 99 69 100 40]
[126 9 124 38 65]
[ 59 80 90 122 85]]
.[ 16 17 89 63 123] [ 16 17 89 63 123]
.[[ 63 113]
[ 41 36]
[ 44 31]
[ 76 2]
[127 47]] [[ 63 113]
[ 41 36]
[ 44 31]
[ 76 2]
[127 47]]
.[[ 36 9 59 117 116]
[ 4 75 11 106 63]
[ 79 82 126 55 117]
[ 79 29 1 24 35]
[ 29 14 107 79 86]] [[ 36 9 59 117 116]
[ 4 75 11 106 63]
[ 79 82 126 55 117]
[ 79 29 1 24 35]
[ 29 14 107 79 86]]
.[ 54 42 52 115 88] [ 54 42 52 115 88]
.[[ 27 30]
[ 47 77]
[ 91 26]
[ 74 123]
[ 73 86]] [[ 27 30]
[ 47 77]
[ 91 26]
[ 74 123]
[ 73 86]]
.[[ 5 99 21 83 34]
[124 47 65 29 127]
[121 2 53 33 55]
[ 6 124 25 98 97]
[ 59 57 16 110 83]] [[ 5 99 21 83 34]
[124 47 65 29 127]
[121 2 53 33 55]
[ 6 124 25 98 97]
[ 59 57 16 110 83]]
.[ 6 20 32 27 92] [ 6 20 32 27 92]
.[[ 80 108]
[ 55 65]
[ 28 57]
[ 14 112]
[ 9 29]] [[ 80 108]
[ 55 65]
[ 28 57]
[ 14 112]
[ 9 29]]
.[[ 41 126 18 66 47]
[ 68 59 90 71 82]
[ 55 88 48 64 112]
[ 59 19 86 52 117]
[ 8 21 14 59 99]] [[ 41 126 18 66 47]
[ 68 59 90 71 82]
[ 55 88 48 64 112]
[ 59 19 86 52 117]
[ 8 21 14 59 99]]
.[104 76 54 96 62] [104 76 54 96 62]
.[[ 40 61]
[112 33]
[ 20 22]
[ 33 68]
[ 54 46]] [[ 40 61]
[112 33]
[ 20 22]
[ 33 68]
[ 54 46]]
.[[ 86 36 82 46 106]
[ 6 104 86 41 53]
[ 13 110 123 70 76]
[101 14 98 63 100]
[ 57 23 3 13 38]] [[ 86 36 82 46 106]
[ 6 104 86 41 53]
[ 13 110 123 70 76]
[101 14 98 63 100]
[ 57 23 3 13 38]]
.[ 6 17 59 54 34] [ 6 17 59 54 34]
.[[71 68]
[42 73]
[60 70]
[24 11]
[93 1]] [[71 68]
[42 73]
[60 70]
[24 11]
[93 1]]
.[[ 58 3 60 27 96]
[ 87 55 79 117 83]
[121 121 38 96 23]
[ 4 3 65 74 81]
[ 2 121 64 71 88]] [[ 58 3 60 27 96]
[ 87 55 79 117 83]
[121 121 38 96 23]
[ 4 3 65 74 81]
[ 2 121 64 71 88]]
.[111 40 36 64 39] [111 40 36 64 39]
.[[ 30 121]
[ 38 119]
[ 12 75]
[109 62]
[ 28 89]] [[ 30 121]
[ 38 119]
[ 12 75]
[109 62]
[ 28 89]]
.[[ 43 96 101 73 99]
[ 40 119 91 13 69]
[ 53 121 62 40 32]
[ 92 106 37 112 9]
[ 81 35 80 11 96]] [[ 43 96 101 73 99]
[ 40 119 91 13 69]
[ 53 121 62 40 32]
[ 92 106 37 112 9]
[ 81 35 80 11 96]]
.[105 71 115 123 51] [105 71 115 123 51]
.[[ 54 84]
[106 124]
[117 8]
[ 0 64]
[ 65 100]] [[ 54 84]
[106 124]
[117 8]
[ 0 64]
[ 65 100]]
.[[ 28 117 109 49 39]
[ 74 52 106 126 97]
[ 60 77 74 22 20]
[ 34 110 34 61 93]
[ 2 62 22 38 57]] [[ 28 117 109 49 39]
[ 74 52 106 126 97]
[ 60 77 74 22 20]
[ 34 110 34 61 93]
[ 2 62 22 38 57]]
.[ 20 112 14 33 78] [ 20 112 14 33 78]
.[[112 51]
[ 85 88]
[ 61 38]
[123 6]
[113 84]] [[112 51]
[ 85 88]
[ 61 38]
[123 6]
[113 84]]
.[[ 4 49 4 89 121]
[ 88 77 91 37 26]
[ 79 124 107 43 90]
[ 10 23 74 78 21]
[122 67 96 120 127]] [[ 4 49 4 89 121]
[ 88 77 91 37 26]
[ 79 124 107 43 90]
[ 10 23 74 78 21]
[122 67 96 120 127]]
.[21 8 91 95 95] [21 8 91 95 95]
.[[ 30 100]
[ 1 20]
[ 52 112]
[ 56 72]
[ 39 99]] [[ 30 100]
[ 1 20]
[ 52 112]
[ 56 72]
[ 39 99]]
.[[ 83 36 41 101 109]
[ 76 119 62 33 41]
[113 42 118 104 125]
[ 19 59 87 101 99]
[ 77 50 65 117 104]] [[ 83 36 41 101 109]
[ 76 119 62 33 41]
[113 42 118 104 125]
[ 19 59 87 101 99]
[ 77 50 65 117 104]]
.[ 93 126 106 60 99] [ 93 126 106 60 99]
.[[104 10]
[100 112]
[125 30]
[ 59 94]
[ 44 28]] [[104 10]
[100 112]
[125 30]
[ 59 94]
[ 44 28]]
.[[ 10 106 83 102 41]
[ 91 93 45 87 61]
[ 37 123 68 52 83]
[ 5 5 49 121 87]
[ 89 59 69 111 107]] [[ 10 106 83 102 41]
[ 91 93 45 87 61]
[ 37 123 68 52 83]
[ 5 5 49 121 87]
[ 89 59 69 111 107]]
.[94 71 80 50 71] [94 71 80 50 71]
.[[106 63]
[ 63 61]
[111 57]
[122 86]
[ 54 85]] [[106 63]
[ 63 61]
[111 57]
[122 86]
[ 54 85]]
.[[ 41 104 123 11 104]
[ 18 1 97 55 20]
[ 43 6 18 48 72]
[ 60 45 14 17 68]
[ 97 98 46 34 49]] [[ 41 104 123 11 104]
[ 18 1 97 55 20]
[ 43 6 18 48 72]
[ 60 45 14 17 68]
[ 97 98 46 34 49]]
.[92 75 36 25 1] [92 75 36 25 1]
.[[ 24 8]
[ 95 111]
[105 95]
[ 60 123]
[ 46 49]] [[ 24 8]
[ 95 111]
[105 95]
[ 60 123]
[ 46 49]]
.[[116 6 2 41 43]
[ 64 43 20 36 82]
[ 43 8 27 87 39]
[ 14 115 121 34 49]
[ 3 49 44 72 67]] [[116 6 2 41 43]
[ 64 43 20 36 82]
[ 43 8 27 87 39]
[ 14 115 121 34 49]
[ 3 49 44 72 67]]
.[ 53 116 82 51 18] [ 53 116 82 51 18]
.[[ 65 78]
[123 17]
[ 42 25]
[ 20 95]
[ 26 121]] [[ 65 78]
[123 17]
[ 42 25]
[ 20 95]
[ 26 121]]
.[[ 65 58 77 95 83]
[ 72 49 55 60 54]
[ 52 2 29 22 4]
[119 66 91 99 127]
[105 19 120 41 106]] [[ 65 58 77 95 83]
[ 72 49 55 60 54]
[ 52 2 29 22 4]
[119 66 91 99 127]
[105 19 120 41 106]]
.[ 68 100 1 21 41] [ 68 100 1 21 41]
.[[ 87 86]
[ 86 112]
[ 92 39]
[ 33 101]
[ 70 116]] [[ 87 86]
[ 86 112]
[ 92 39]
[ 33 101]
[ 70 116]]
.[[ 3 45 106 58 51]
[ 52 13 54 124 85]
[ 36 43 45 122 86]
[ 74 118 7 53 83]
[ 98 53 39 78 85]] [[ 3 45 106 58 51]
[ 52 13 54 124 85]
[ 36 43 45 122 86]
[ 74 118 7 53 83]
[ 98 53 39 78 85]]
.[ 4 21 40 10 122] [ 4 21 40 10 122]
.[[104 50]
[ 74 68]
[ 89 85]
[ 46 100]
[ 73 0]] [[104 50]
[ 74 68]
[ 89 85]
[ 46 100]
[ 73 0]]
.[[ 81 41 8 61 38]
[ 81 85 9 80 29]
[ 67 51 12 53 95]
[107 73 56 63 35]
[ 54 44 28 73 64]] [[ 81 41 8 61 38]
[ 81 85 9 80 29]
[ 67 51 12 53 95]
[107 73 56 63 35]
[ 54 44 28 73 64]]
.[ 30 89 121 95 30] [ 30 89 121 95 30]
.[[ 61 88]
[ 97 97]
[ 73 36]
[127 70]
[110 65]] [[ 61 88]
[ 97 97]
[ 73 36]
[127 70]
[110 65]]
.[[ 71 103 38 26 28]
[ 87 23 0 43 43]
[106 115 110 93 7]
[ 73 24 79 1 118]
[100 117 70 27 21]] [[ 71 103 38 26 28]
[ 87 23 0 43 43]
[106 115 110 93 7]
[ 73 24 79 1 118]
[100 117 70 27 21]]
.[ 28 44 110 14 113] [ 28 44 110 14 113]
.[[ 72 99]
[120 15]
[ 79 49]
[ 49 126]
[ 82 26]] [[ 72 99]
[120 15]
[ 79 49]
[ 49 126]
[ 82 26]]
.[[118 125 53 78 125]
[ 9 51 77 100 83]
[109 92 123 127 6]
[ 20 118 18 35 19]
[ 13 96 126 84 117]] [[118 125 53 78 125]
[ 9 51 77 100 83]
[109 92 123 127 6]
[ 20 118 18 35 19]
[ 13 96 126 84 117]]
.[ 56 95 85 103 23] [ 56 95 85 103 23]
.[[ 15 42]
[ 90 17]
[ 83 2]
[ 59 74]
[125 74]] [[ 15 42]
[ 90 17]
[ 83 2]
[ 59 74]
[125 74]]
.[[ 3 80 60 112 91]
[ 6 101 74 31 117]
[111 80 47 67 69]
[ 2 92 61 46 88]
[ 81 127 44 74 15]] [[ 3 80 60 112 91]
[ 6 101 74 31 117]
[111 80 47 67 69]
[ 2 92 61 46 88]
[ 81 127 44 74 15]]
.[40 81 89 29 77] [40 81 89 29 77]
.[[ 45 45]
[ 1 63]
[109 7]
[ 2 121]
[ 84 3]] [[ 45 45]
[ 1 63]
[109 7]
[ 2 121]
[ 84 3]]
.[[113 104 111 23 40]
[ 91 34 78 26 36]
[ 16 34 57 5 112]
[ 42 28 13 88 100]
[100 77 89 70 113]] [[113 104 111 23 40]
[ 91 34 78 26 36]
[ 16 34 57 5 112]
[ 42 28 13 88 100]
[100 77 89 70 113]]
.[ 16 107 80 96 80] [ 16 107 80 96 80]
.[[ 89 70]
[127 78]
[ 80 44]
[ 11 118]
[ 55 105]] [[ 89 70]
[127 78]
[ 80 44]
[ 11 118]
[ 55 105]]
.[[ 19 61 95 15 21]
[ 74 42 4 72 86]
[ 93 118 97 20 81]
[125 4 35 40 56]
[105 72 10 84 20]] [[ 19 61 95 15 21]
[ 74 42 4 72 86]
[ 93 118 97 20 81]
[125 4 35 40 56]
[105 72 10 84 20]]
.[ 60 93 20 10 121] [ 60 93 20 10 121]
.[[118 12]
[ 16 70]
[ 17 123]
[ 28 91]
[ 4 122]] [[118 12]
[ 16 70]
[ 17 123]
[ 28 91]
[ 4 122]]
.[[ 34 75 13 58 1]
[103 94 122 44 24]
[ 21 82 22 112 7]
[120 78 51 37 96]
[ 42 16 7 86 96]] [[ 34 75 13 58 1]
[103 94 122 44 24]
[ 21 82 22 112 7]
[120 78 51 37 96]
[ 42 16 7 86 96]]
.[ 97 118 25 48 27] [ 97 118 25 48 27]
.[[ 21 0]
[111 78]
[ 3 48]
[ 67 118]
[120 71]] [[ 21 0]
[111 78]
[ 3 48]
[ 67 118]
[120 71]]
.[[ 75 75 117 16 110]
[119 123 3 62 73]
[ 68 98 56 89 43]
[ 18 47 36 75 76]
[ 9 77 86 2 68]] [[ 75 75 117 16 110]
[119 123 3 62 73]
[ 68 98 56 89 43]
[ 18 47 36 75 76]
[ 9 77 86 2 68]]
.[40 25 77 6 45] [40 25 77 6 45]
.[[104 35]
[ 37 83]
[108 15]
[113 34]
[ 60 77]] [[104 35]
[ 37 83]
[108 15]
[113 34]
[ 60 77]]
.[[ 0 65 108 27 105]
[ 63 24 31 9 70]
[ 64 75 93 57 108]
[ 9 35 37 74 62]
[109 127 69 89 46]] [[ 0 65 108 27 105]
[ 63 24 31 9 70]
[ 64 75 93 57 108]
[ 9 35 37 74 62]
[109 127 69 89 46]]
.[ 84 107 81 125 94] [ 84 107 81 125 94]
.[[ 2 115]
[120 91]
[ 91 53]
[ 63 109]
[ 70 60]] [[ 2 115]
[120 91]
[ 91 53]
[ 63 109]
[ 70 60]]
.[[101 106 105 84 47]
[ 18 87 124 94 45]
[ 64 40 27 33 75]
[ 87 109 8 119 61]
[ 70 82 34 47 46]] [[101 106 105 84 47]
[ 18 87 124 94 45]
[ 64 40 27 33 75]
[ 87 109 8 119 61]
[ 70 82 34 47 46]]
.[100 0 72 118 26] [100 0 72 118 26]
.[[27 42]
[78 54]
[ 1 88]
[55 62]
[49 83]] [[27 42]
[78 54]
[ 1 88]
[55 62]
[49 83]]
.[[ 70 55 21 113 61]
[ 18 116 100 65 13]
[126 6 68 39 109]
[103 111 63 12 120]
[ 13 28 84 67 82]] [[ 70 55 21 113 61]
[ 18 116 100 65 13]
[126 6 68 39 109]
[103 111 63 12 120]
[ 13 28 84 67 82]]
...............................................................................................................................................SSSSSS......SSSSSS......SSSS..............................................................S.................................................../Users/rgommers/Code/scipy/scipy/linalg/decomp_qr.py:77:
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)
................................................................................................................................................................E....................................................................................................................................................
****************************************************************
WARNING: clapack module is empty
-----------
See scipy/INSTALL.txt for troubleshooting.
Notes:
* If atlas library is not found by numpy/distutils/system_info.py,
then scipy uses flapack instead of clapack.
****************************************************************
...Result may be inaccurate, approximate err = 7.68933681286e-09
...Result may be inaccurate, approximate err = 7.27595761418e-12
.........................................SSS.........S........................................................................................................................................................................................................................................................................................................................................................................................................................................................**
On entry to DGEEV , parameter number 5 had an illegal value
** On entry to DGEEV , parameter number 5 had an illegal value
............/Users/rgommers/Code/scipy/scipy/signal/filter_design.py:224:
BadCoefficients: Badly conditioned filter coefficients (numerator): the
results may be meaningless
"results may be meaningless", BadCoefficients)
..............................................................................................................................................................................................................................................................................................SSSSSSSSSSS...............K.......................................................................................................................................K...............................................................K.........................................................................................................................................................KK.......................................................................................................................................................................................................................................................................................................................................................................................................K.K...................................................................................................................................................................................................................................................................................................................................................................................K........K.......F.SSSSS................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................S...................................................................................................................................................................................../Users/rgommers/Code/scipy/scipy/stats/morestats.py:702:
UserWarning: Ties preclude use of exact statistic.
warnings.warn("Ties preclude use of exact statistic.")
.............................................................................................................................................................................................../Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/numpy/lib/utils.py:140:
DeprecationWarning: `samplestd` is deprecated!
scipy.stats.samplestd is deprecated; please update your code to use
numpy.std.
Please note that `numpy.std` axis argument defaults to None, not 0.
warnings.warn(depdoc, DeprecationWarning)
/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/numpy/lib/utils.py:140:
DeprecationWarning: `samplevar` is deprecated!
scipy.stats.samplevar is deprecated; please update your code to use
numpy.var.
Please note that `numpy.var` axis argument defaults to None, not 0.
warnings.warn(depdoc, DeprecationWarning)
...../Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/numpy/lib/utils.py:140:
DeprecationWarning: `stderr` is deprecated!
scipy.stats.stderr is deprecated; please update your code to use
scipy.stats.sem.
warnings.warn(depdoc, DeprecationWarning)
../Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/numpy/lib/utils.py:140:
DeprecationWarning: `z` is deprecated!
scipy.stats.z is deprecated; please update your code to use
scipy.stats.zscore_compare.
warnings.warn(depdoc, DeprecationWarning)
../Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/numpy/lib/utils.py:140:
DeprecationWarning: `zs` is deprecated!
scipy.stats.zs is deprecated; please update your code to use
scipy.stats.zscore.
warnings.warn(depdoc, DeprecationWarning)
..........................................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 '..' 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
...warning: specified build_dir '..' does not exist or is not writable.
Trying default locations
............................building extensions here:
/Users/rgommers/.python26_compiled/m48
................................................................................................
======================================================================
ERROR: test_decomp.test_lapack_misaligned(<function solve at 0x3657970>,
(array([[ 1.734e-255, 8.189e-217, 4.025e-178, 1.903e-139,
9.344e-101,
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/nose-0.11.1-py2.6.egg/nose/case.py",
line 183, in runTest
self.test(*self.arg)
File "/Users/rgommers/Code/scipy/scipy/linalg/tests/test_decomp.py", line
1074, in check_lapack_misaligned
func(*a,**kwargs)
File "/Users/rgommers/Code/scipy/scipy/linalg/basic.py", line 47, in solve
a1, b1 = map(asarray_chkfinite,(a,b))
File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/numpy/lib/function_base.py",
line 586, in asarray_chkfinite
raise ValueError, "array must not contain infs or NaNs"
ValueError: array must not contain infs or NaNs
======================================================================
FAIL: test_lambertw.test_values
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/nose-0.11.1-py2.6.egg/nose/case.py",
line 183, in runTest
self.test(*self.arg)
File "/Users/rgommers/Code/scipy/scipy/special/tests/test_lambertw.py",
line 80, in test_values
FuncData(w, data, (0,1), 2, rtol=1e-10, atol=1e-13).check()
File "/Users/rgommers/Code/scipy/scipy/special/tests/testutils.py", line
187, in check
assert False, "\n".join(msg)
AssertionError:
Max |adiff|: 2.5797
Max |rdiff|: 3.81511
Bad results for the following points (in output 0):
(-0.44800000000000001+0.40000000000000002j) 0j
=> (-1.2370928928166736-1.6588828572971359j) !=
(-0.11855133765652383+0.66570534313583418j) (rdiff
3.8151122286225245)
----------------------------------------------------------------------
Ran 4437 tests in 68.377s
FAILED (KNOWNFAIL=11, SKIP=38, errors=1, failures=1)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scipy-dev/attachments/20100515/570d19b3/attachment.html>
More information about the SciPy-Dev
mailing list