[SciPy-Dev] test output - io and stats
josef.pktd at gmail.com
josef.pktd at gmail.com
Sat May 15 07:12:25 EDT 2010
On Sat, May 15, 2010 at 12:04 AM, Ralf Gommers
<ralf.gommers at googlemail.com> wrote:
> 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?
I won't have much time, however in your output, I only see
depreciation warnings for scipy stats and, I think, (almost) all of
them are intentional. So the only way to reduce this noise would be to
turn off depreciation warnings in the test run.
I think, if you run the "full" tests there are more warnings about
about numerical problems with integrate or similar.
Josef
>
> 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)
>
>
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