Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-09-09 Thread Frédéric Bastien
All the PyArray_FLOAT*, ... to NPY_FLOAT*.

PyObject *var;
PyArrayObject * var_arr;
var_arr-{dimensions,strides,nd,descr} to PyArray_{DIMS,...}(var_arr),
need macro

PyArray_ISCONTIGUOUS(var) to PyArray_ISCONTIGUOUS(var_arr)

PyArray_{DATA,STRIDES,GETPTR2}(var) to PyArray_{DATA,STRIDES}(var_arr)

The sed script didn't replace NPY_ALIGNED to NPY_ARRAY_ALIGNED. idem
for NPY_WRITABLE, NPY_UPDATE_ALL, NPY_C_CONTIGUOUS, NPY_F_CONTIGUOUS,

The sed script did change   as well, but I think it should not be
deprecated. This flag NPY_ARRAY_ENSURECOPY is a new one. It was not
existing in numpy 1.6.0. We try to stay compitible with numpy 1.3
(maybe we will bump to numpy 1.4). This is the info on when this line
was introduced:

263df0cc (Mark Wiebe 2011-07-19 17:06:08 -0500  784) #define
NPY_ARRAY_ENSURECOPY  0x0020

In the trunk of Theano, I'll define NPY_ARRAY_ENSURECOPY for older
version of numpy.

PyArray_SetBaseObject


On Tue, Sep 4, 2012 at 6:31 PM, Ondřej Čertík ondrej.cer...@gmail.com wrote:
 On Sat, Sep 1, 2012 at 2:19 AM, Sandro Tosi mo...@debian.org wrote:
 On Fri, Aug 31, 2012 at 8:07 PM, Sandro Tosi mo...@debian.org wrote:
 On Fri, Aug 31, 2012 at 7:17 PM, Ondřej Čertík ondrej.cer...@gmail.com 
 wrote:
 If you could create issues at github: https://github.com/numpy/numpy/issues
 that would be great. If you have time, also with some info about the 
 platform
 and how to reproduce it. Or at least a link to the build logs.

 I've reported it here: https://github.com/numpy/numpy/issues/402

 I've just spammed the issue tracker with additional issues, reporting
 all the test suite failures on Debian architectures; issues are 406 -
 414 .

 Don't hesitate to contact me if you need any support or clarification.

 Thanks Sandro for reporting it! I put all of them into my release issue:

 https://github.com/numpy/numpy/issues/396

 most of the failures seem to be caused by these two issues:

 https://github.com/numpy/numpy/issues/394
 https://github.com/numpy/numpy/issues/426

 so I am looking into this now.

 Ondrej
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-09-09 Thread Frédéric Bastien
Hi,

forget this email, it was sent by error. I'll write the info in a new
email in a few minutes.

Fred

On Sun, Sep 9, 2012 at 1:08 PM, Frédéric Bastien no...@nouiz.org wrote:
 All the PyArray_FLOAT*, ... to NPY_FLOAT*.

 PyObject *var;
 PyArrayObject * var_arr;
 var_arr-{dimensions,strides,nd,descr} to PyArray_{DIMS,...}(var_arr),
 need macro

 PyArray_ISCONTIGUOUS(var) to PyArray_ISCONTIGUOUS(var_arr)

 PyArray_{DATA,STRIDES,GETPTR2}(var) to PyArray_{DATA,STRIDES}(var_arr)

 The sed script didn't replace NPY_ALIGNED to NPY_ARRAY_ALIGNED. idem
 for NPY_WRITABLE, NPY_UPDATE_ALL, NPY_C_CONTIGUOUS, NPY_F_CONTIGUOUS,

 The sed script did change   as well, but I think it should not be
 deprecated. This flag NPY_ARRAY_ENSURECOPY is a new one. It was not
 existing in numpy 1.6.0. We try to stay compitible with numpy 1.3
 (maybe we will bump to numpy 1.4). This is the info on when this line
 was introduced:

 263df0cc (Mark Wiebe 2011-07-19 17:06:08 -0500  784) #define
 NPY_ARRAY_ENSURECOPY  0x0020

 In the trunk of Theano, I'll define NPY_ARRAY_ENSURECOPY for older
 version of numpy.

 PyArray_SetBaseObject


 On Tue, Sep 4, 2012 at 6:31 PM, Ondřej Čertík ondrej.cer...@gmail.com wrote:
 On Sat, Sep 1, 2012 at 2:19 AM, Sandro Tosi mo...@debian.org wrote:
 On Fri, Aug 31, 2012 at 8:07 PM, Sandro Tosi mo...@debian.org wrote:
 On Fri, Aug 31, 2012 at 7:17 PM, Ondřej Čertík ondrej.cer...@gmail.com 
 wrote:
 If you could create issues at github: 
 https://github.com/numpy/numpy/issues
 that would be great. If you have time, also with some info about the 
 platform
 and how to reproduce it. Or at least a link to the build logs.

 I've reported it here: https://github.com/numpy/numpy/issues/402

 I've just spammed the issue tracker with additional issues, reporting
 all the test suite failures on Debian architectures; issues are 406 -
 414 .

 Don't hesitate to contact me if you need any support or clarification.

 Thanks Sandro for reporting it! I put all of them into my release issue:

 https://github.com/numpy/numpy/issues/396

 most of the failures seem to be caused by these two issues:

 https://github.com/numpy/numpy/issues/394
 https://github.com/numpy/numpy/issues/426

 so I am looking into this now.

 Ondrej
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-09-04 Thread Ondřej Čertík
On Sat, Sep 1, 2012 at 2:19 AM, Sandro Tosi mo...@debian.org wrote:
 On Fri, Aug 31, 2012 at 8:07 PM, Sandro Tosi mo...@debian.org wrote:
 On Fri, Aug 31, 2012 at 7:17 PM, Ondřej Čertík ondrej.cer...@gmail.com 
 wrote:
 If you could create issues at github: https://github.com/numpy/numpy/issues
 that would be great. If you have time, also with some info about the 
 platform
 and how to reproduce it. Or at least a link to the build logs.

 I've reported it here: https://github.com/numpy/numpy/issues/402

 I've just spammed the issue tracker with additional issues, reporting
 all the test suite failures on Debian architectures; issues are 406 -
 414 .

 Don't hesitate to contact me if you need any support or clarification.

Thanks Sandro for reporting it! I put all of them into my release issue:

https://github.com/numpy/numpy/issues/396

most of the failures seem to be caused by these two issues:

https://github.com/numpy/numpy/issues/394
https://github.com/numpy/numpy/issues/426

so I am looking into this now.

Ondrej
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-09-01 Thread Sandro Tosi
On Fri, Aug 31, 2012 at 8:07 PM, Sandro Tosi mo...@debian.org wrote:
 On Fri, Aug 31, 2012 at 7:17 PM, Ondřej Čertík ondrej.cer...@gmail.com 
 wrote:
 If you could create issues at github: https://github.com/numpy/numpy/issues
 that would be great. If you have time, also with some info about the platform
 and how to reproduce it. Or at least a link to the build logs.

 I've reported it here: https://github.com/numpy/numpy/issues/402

I've just spammed the issue tracker with additional issues, reporting
all the test suite failures on Debian architectures; issues are 406 -
414 .

Don't hesitate to contact me if you need any support or clarification.

Cheers,
-- 
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-31 Thread Sandro Tosi
Hello,

On Tue, Aug 21, 2012 at 6:24 PM, Ondřej Čertík ondrej.cer...@gmail.com wrote:
 Hi,

 I'm pleased to announce the availability of the first beta release of
 NumPy 1.7.0b1.

I've just uploaded it to Debian experimental, so we can give it a run
while in freeze. Some of the buildds are already building[1] the
package, so we should get results asap (either failures or successes).

[1] 
https://buildd.debian.org/status/package.php?p=python-numpysuite=experimental

If tests fail, it won't stop the build, and indeed I got at least 2
errors (actually 1 error and 1 crash), when running tests for python
2.7 and 3.2 with debug enabled:

2.7 dbg

==
ERROR: test_power_zero (test_umath.TestPower)
--
Traceback (most recent call last):
  File 
/tmp/buildd/python-numpy-1.7.0~b1/debian/tmp/usr/lib/python2.7/dist-packages/numpy/core/tests/test_umath.py,
line 139, in test_power_zero
assert_complex_equal(np.power(zero, 0+1j), cnan)
RuntimeWarning: invalid value encountered in power

--

3.2 dbg

python3.2-dbg: numpy/core/src/multiarray/common.c:161:
PyArray_DTypeFromObjectHelper: Assertion
`((PyObject*)(temp))-ob_type))-tp_flags  ((1L27))) != 0)'
failed.
Aborted

I'm reporting them here since you asked so, dunno if you want an issue
on github to track them. I'll look at the buildds logs and report
additional failures if they come up.

Cheers,
-- 
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-31 Thread Ondřej Čertík
Hi Sandro,

On Fri, Aug 31, 2012 at 6:18 AM, Sandro Tosi mo...@debian.org wrote:
 Hello,

 On Tue, Aug 21, 2012 at 6:24 PM, Ondřej Čertík ondrej.cer...@gmail.com 
 wrote:
 Hi,

 I'm pleased to announce the availability of the first beta release of
 NumPy 1.7.0b1.

 I've just uploaded it to Debian experimental, so we can give it a run
 while in freeze. Some of the buildds are already building[1] the
 package, so we should get results asap (either failures or successes).

This is awesome, thanks you so much for doing this. This should
reveal some bugs.


 [1] 
 https://buildd.debian.org/status/package.php?p=python-numpysuite=experimental

 If tests fail, it won't stop the build, and indeed I got at least 2
 errors (actually 1 error and 1 crash), when running tests for python
 2.7 and 3.2 with debug enabled:

 2.7 dbg

 ==
 ERROR: test_power_zero (test_umath.TestPower)
 --
 Traceback (most recent call last):
   File 
 /tmp/buildd/python-numpy-1.7.0~b1/debian/tmp/usr/lib/python2.7/dist-packages/numpy/core/tests/test_umath.py,
 line 139, in test_power_zero
 assert_complex_equal(np.power(zero, 0+1j), cnan)
 RuntimeWarning: invalid value encountered in power

 --

 3.2 dbg

 python3.2-dbg: numpy/core/src/multiarray/common.c:161:
 PyArray_DTypeFromObjectHelper: Assertion
 `((PyObject*)(temp))-ob_type))-tp_flags  ((1L27))) != 0)'
 failed.
 Aborted

 I'm reporting them here since you asked so, dunno if you want an issue
 on github to track them. I'll look at the buildds logs and report
 additional failures if they come up.

If you could create issues at github: https://github.com/numpy/numpy/issues
that would be great. If you have time, also with some info about the platform
and how to reproduce it. Or at least a link to the build logs.

I'll add it to the release TODO and try to fix it.

Ondrej
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-31 Thread Stefan Krah
Ond??ej ??ert??k ondrej.cer...@gmail.com wrote:
  python3.2-dbg: numpy/core/src/multiarray/common.c:161:
  PyArray_DTypeFromObjectHelper: Assertion
  `((PyObject*)(temp))-ob_type))-tp_flags  ((1L27))) != 0)'
 
 If you could create issues at github: https://github.com/numpy/numpy/issues
 that would be great. If you have time, also with some info about the platform
 and how to reproduce it. Or at least a link to the build logs.

For the second one there's an issue here:

http://projects.scipy.org/numpy/ticket/2193


Stefan Krah


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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-31 Thread Sandro Tosi
On Fri, Aug 31, 2012 at 7:17 PM, Ondřej Čertík ondrej.cer...@gmail.com wrote:
 If you could create issues at github: https://github.com/numpy/numpy/issues
 that would be great. If you have time, also with some info about the platform
 and how to reproduce it. Or at least a link to the build logs.

I've reported it here: https://github.com/numpy/numpy/issues/402

Cheers,
-- 
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-23 Thread Benjamin Root
On Tue, Aug 21, 2012 at 12:24 PM, Ondřej Čertík ondrej.cer...@gmail.comwrote:

 Hi,

 I'm pleased to announce the availability of the first beta release of
 NumPy 1.7.0b1.

 Sources and binary installers can be found at
 https://sourceforge.net/projects/numpy/files/NumPy/1.7.0b1/

 Please test this release and report any issues on the numpy-discussion
 mailing list. The following problems are known and
 we'll work on fixing them before the final release:

 http://projects.scipy.org/numpy/ticket/2187
 http://projects.scipy.org/numpy/ticket/2185
 http://projects.scipy.org/numpy/ticket/2066
 http://projects.scipy.org/numpy/ticket/1588
 http://projects.scipy.org/numpy/ticket/2076
 http://projects.scipy.org/numpy/ticket/2101
 http://projects.scipy.org/numpy/ticket/2108
 http://projects.scipy.org/numpy/ticket/2150
 http://projects.scipy.org/numpy/ticket/2189

 I would like to thank Ralf for a lot of help with creating binaries
 and other help for this release.

 Cheers,
 Ondrej



At http://docs.scipy.org/doc/numpy/contents.html, it looks like the TOC
tree is a bit messed up.  For example, I see that masked arrays are listed
multiple times, and I think some of the sub-entries for masked arrays show
up multiple times within an entry for masked arrays.  Some of the bullets
appear as  instead of dots.

Don't know what version that page is generated from, but we might want to
double-check that 1.7.0's docs don't have the same problem.

Cheers!
Ben Root
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-22 Thread Ralf Gommers
On Tue, Aug 21, 2012 at 9:59 PM, Christoph Gohlke cgoh...@uci.edu wrote:

 On 8/21/2012 9:24 AM, Ondřej Čertík wrote:
  Hi,
 
  I'm pleased to announce the availability of the first beta release of
  NumPy 1.7.0b1.
 
  Sources and binary installers can be found at
  https://sourceforge.net/projects/numpy/files/NumPy/1.7.0b1/
 
  Please test this release and report any issues on the numpy-discussion
  mailing list. The following problems are known and
  we'll work on fixing them before the final release:
 
  http://projects.scipy.org/numpy/ticket/2187
  http://projects.scipy.org/numpy/ticket/2185
  http://projects.scipy.org/numpy/ticket/2066
  http://projects.scipy.org/numpy/ticket/1588
  http://projects.scipy.org/numpy/ticket/2076
  http://projects.scipy.org/numpy/ticket/2101
  http://projects.scipy.org/numpy/ticket/2108
  http://projects.scipy.org/numpy/ticket/2150
  http://projects.scipy.org/numpy/ticket/2189
 
  I would like to thank Ralf for a lot of help with creating binaries
  and other help for this release.
 
  Cheers,
  Ondrej
 
 

 Hi Ondrej,

 will numpy 1.7.0 final support Python 3.3? The recent patch in the
 master branch seems to work well.

 I tested a win-amd64-py2.7\msvc9\MKL build of the numpy
 maintenance/1.7.x branch against a number of package binaries from
 http://www.lfd.uci.edu/~gohlke/pythonlibs/.

 The test results are at
 
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-28ffac7/
 .
 For comparison, the tests against numpy-MKL-1.6.2 are at
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7/
 .

 Besides some numpy 1.7.x test errors due to RuntimeWarning and
 DeprecationWarning


Flipped the release switch on those in commit ea23de8, errors should be
gone now.


 , there are hundreds of RuntimeWarning (numpy.dtype
 size changed, may indicate binary incompatibility) when loading Cython
 extensions.


This looks really bad. Last discussion I could find on this topic on the
Cython list:
http://grokbase.com/t/python/cython-devel/121ygkvfhc/cython-upcoming-issues-with-numpy-deprecated-apis-and-cythons-sizeof-checks

At this point I think it would be a good idea to install a warning filter
for this on import of numpy and leave it in place. And also in the test
runner. Even if Cython would fix it now, that doesn't help for all binaries
of existing releases of projects that depend on numpy.

Ralf


 There are additional test failures in scipy, statsmodels, bottleneck,
 skimage, vigra, and mahotas. I did not check in detail or with existing
 tickets (http://projects.scipy.org/ is timing out or responding with
 HTTP 500 status).

 Other packages test OK against numpy 1.7.x, e.g. PIL, PyGame,
 matplotlib, Pandas, tables, and numexpr.

 Hope it helps.

 Christoph


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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-22 Thread Ralf Gommers
On Tue, Aug 21, 2012 at 9:59 PM, Christoph Gohlke cgoh...@uci.edu wrote:

 On 8/21/2012 9:24 AM, Ondřej Čertík wrote:
  Hi,
 
  I'm pleased to announce the availability of the first beta release of
  NumPy 1.7.0b1.
 
  Sources and binary installers can be found at
  https://sourceforge.net/projects/numpy/files/NumPy/1.7.0b1/
 
  Please test this release and report any issues on the numpy-discussion
  mailing list. The following problems are known and
  we'll work on fixing them before the final release:
 
  http://projects.scipy.org/numpy/ticket/2187
  http://projects.scipy.org/numpy/ticket/2185
  http://projects.scipy.org/numpy/ticket/2066
  http://projects.scipy.org/numpy/ticket/1588
  http://projects.scipy.org/numpy/ticket/2076
  http://projects.scipy.org/numpy/ticket/2101
  http://projects.scipy.org/numpy/ticket/2108
  http://projects.scipy.org/numpy/ticket/2150
  http://projects.scipy.org/numpy/ticket/2189
 
  I would like to thank Ralf for a lot of help with creating binaries
  and other help for this release.
 
  Cheers,
  Ondrej
 
 

 Hi Ondrej,

 will numpy 1.7.0 final support Python 3.3? The recent patch in the
 master branch seems to work well.

 I tested a win-amd64-py2.7\msvc9\MKL build of the numpy
 maintenance/1.7.x branch against a number of package binaries from
 http://www.lfd.uci.edu/~gohlke/pythonlibs/.

 The test results are at
 
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-28ffac7/
 .
 For comparison, the tests against numpy-MKL-1.6.2 are at
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7/
 .
 ...

 There are additional test failures in scipy, statsmodels, bottleneck,
 skimage, vigra, and mahotas. I did not check in detail or with existing
 tickets (http://projects.scipy.org/ is timing out or responding with
 HTTP 500 status).


None of the scipy ones are serious or due to changes in numpy as far as I
can tell. The one thing to do in numpy is silence this warning:
DeprecationWarning: The compiler package is deprecated and removed in
Python 3.x.

Thanks for all those tests Christoph, extremely useful!

Ralf
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-22 Thread Charles R Harris
On Tue, Aug 21, 2012 at 1:59 PM, Christoph Gohlke cgoh...@uci.edu wrote:

 On 8/21/2012 9:24 AM, Ondřej Čertík wrote:
  Hi,
 
  I'm pleased to announce the availability of the first beta release of
  NumPy 1.7.0b1.
 
  Sources and binary installers can be found at
  https://sourceforge.net/projects/numpy/files/NumPy/1.7.0b1/
 
  Please test this release and report any issues on the numpy-discussion
  mailing list. The following problems are known and
  we'll work on fixing them before the final release:
 
  http://projects.scipy.org/numpy/ticket/2187
  http://projects.scipy.org/numpy/ticket/2185
  http://projects.scipy.org/numpy/ticket/2066
  http://projects.scipy.org/numpy/ticket/1588
  http://projects.scipy.org/numpy/ticket/2076
  http://projects.scipy.org/numpy/ticket/2101
  http://projects.scipy.org/numpy/ticket/2108
  http://projects.scipy.org/numpy/ticket/2150
  http://projects.scipy.org/numpy/ticket/2189
 
  I would like to thank Ralf for a lot of help with creating binaries
  and other help for this release.
 
  Cheers,
  Ondrej
 
 

 Hi Ondrej,

 will numpy 1.7.0 final support Python 3.3? The recent patch in the
 master branch seems to work well.

 I tested a win-amd64-py2.7\msvc9\MKL build of the numpy
 maintenance/1.7.x branch against a number of package binaries from
 http://www.lfd.uci.edu/~gohlke/pythonlibs/.

 The test results are at
 
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-28ffac7/
 .


What version of Numpy were the test packages compiled against?


 For comparison, the tests against numpy-MKL-1.6.2 are at
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7/
 .

 Besides some numpy 1.7.x test errors due to RuntimeWarning and
 DeprecationWarning, there are hundreds of RuntimeWarning (numpy.dtype
 size changed, may indicate binary incompatibility) when loading Cython
 extensions.

 There are additional test failures in scipy, statsmodels, bottleneck,
 skimage, vigra, and mahotas. I did not check in detail or with existing
 tickets (http://projects.scipy.org/ is timing out or responding with
 HTTP 500 status).

 Other packages test OK against numpy 1.7.x, e.g. PIL, PyGame,
 matplotlib, Pandas, tables, and numexpr.


Chuck
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-22 Thread Christoph Gohlke
On 8/22/2012 6:26 AM, Charles R Harris wrote:


 On Tue, Aug 21, 2012 at 1:59 PM, Christoph Gohlke cgoh...@uci.edu
 mailto:cgoh...@uci.edu wrote:

 On 8/21/2012 9:24 AM, Ondřej Čertík wrote:
  Hi,
 
  I'm pleased to announce the availability of the first beta release of
  NumPy 1.7.0b1.
 
  Sources and binary installers can be found at
 https://sourceforge.net/projects/numpy/files/NumPy/1.7.0b1/
 
  Please test this release and report any issues on the numpy-discussion
  mailing list. The following problems are known and
  we'll work on fixing them before the final release:
 
 http://projects.scipy.org/numpy/ticket/2187
 http://projects.scipy.org/numpy/ticket/2185
 http://projects.scipy.org/numpy/ticket/2066
 http://projects.scipy.org/numpy/ticket/1588
 http://projects.scipy.org/numpy/ticket/2076
 http://projects.scipy.org/numpy/ticket/2101
 http://projects.scipy.org/numpy/ticket/2108
 http://projects.scipy.org/numpy/ticket/2150
 http://projects.scipy.org/numpy/ticket/2189
 
  I would like to thank Ralf for a lot of help with creating binaries
  and other help for this release.
 
  Cheers,
  Ondrej
 
 

 Hi Ondrej,

 will numpy 1.7.0 final support Python 3.3? The recent patch in the
 master branch seems to work well.

 I tested a win-amd64-py2.7\msvc9\MKL build of the numpy
 maintenance/1.7.x branch against a number of package binaries from
 http://www.lfd.uci.edu/~gohlke/pythonlibs/
 http://www.lfd.uci.edu/%7Egohlke/pythonlibs/.

 The test results are at
 
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-28ffac7/
 
 http://www.lfd.uci.edu/%7Egohlke/pythonlibs/tests/20120821-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-28ffac7/.


 What version of Numpy were the test packages compiled against?

numpy-MKL-1.6.x

Christoph


 For comparison, the tests against numpy-MKL-1.6.2 are at
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7/
 
 http://www.lfd.uci.edu/%7Egohlke/pythonlibs/tests/20120821-win-amd64-py2.7/.

 Besides some numpy 1.7.x test errors due to RuntimeWarning and
 DeprecationWarning, there are hundreds of RuntimeWarning (numpy.dtype
 size changed, may indicate binary incompatibility) when loading Cython
 extensions.

 There are additional test failures in scipy, statsmodels, bottleneck,
 skimage, vigra, and mahotas. I did not check in detail or with existing
 tickets (http://projects.scipy.org/ is timing out or responding with
 HTTP 500 status).

 Other packages test OK against numpy 1.7.x, e.g. PIL, PyGame,
 matplotlib, Pandas, tables, and numexpr.


 Chuck

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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-22 Thread Orion Poplawski
On 08/21/2012 10:24 AM, Ondřej Čertík wrote:
 Hi,

 I'm pleased to announce the availability of the first beta release of
 NumPy 1.7.0b1.

Currently in trying to support python 3.3 in Fedora Rawhide (F19) and Fedora 
18 we are doing:

# Regenerate Cython c sources
# This is needed with numpy-1.6.2.tar.gz with python 3.3 to avoid an exception
# with an import call in the generated .c file in the tarball that uses the
# old default of -1:
# File mtrand.pyx, line 126, in init mtrand 
(numpy/random/mtrand/mtrand.c:20679)
#   ValueError: level must be = 0
# due to the changes in import in 3.3
# Regenerating with a newer Cython fixes it:
pushd numpy/random/mtrand/
rm -v mtrand.c
cython mtrand.pyx
popd

However with 1.7.0b1 and Cython 0.16 we get:

+ cython mtrand.pyx
Error compiling Cython file:

...
 PyArray_DIMS(oa) , NPY_DOUBLE)
 length = PyArray_SIZE(array)
 array_data = double *PyArray_DATA(array)
 itera = flatiterPyArray_IterNew(objectoa)
 for i from 0 = i  length:
 array_data[i] = func(state, (double *(itera.dataptr))[0])
 ^

mtrand.pyx:177:41: Python objects cannot be cast to pointers of primitive types
Error compiling Cython file:

...
 cdef npy_intp i
 cdef broadcast multi
 if size is None:
 multi = broadcast PyArray_MultiIterNew(2, void *oa, void *ob)
 array = ndarray PyArray_SimpleNew(multi.nd, multi.dimensions, 
NPY_DOUBLE)
   ^

mtrand.pyx:222:59: Cannot convert Python object to 'npy_intp *'
Error compiling Cython file:

...
 cdef npy_intp i
 cdef broadcast multi
 if size is None:
 multi = broadcast PyArray_MultiIterNew(3, void *oa, void *ob, 
void *oc)
 array = ndarray PyArray_SimpleNew(multi.nd, multi.dimensions, 
NPY_DOUBLE)
   ^

mtrand.pyx:275:59: Cannot convert Python object to 'npy_intp *'
Error compiling Cython file:

...
 cdef long *on_data
 cdef broadcast multi
 if size is None:
 multi = broadcast PyArray_MultiIterNew(2, void *on, void *op)
 array = ndarray PyArray_SimpleNew(multi.nd, multi.dimensions, 
NPY_LONG)
   ^

mtrand.pyx:341:59: Cannot convert Python object to 'npy_intp *'
Error compiling Cython file:

...
 cdef double *on_data
 cdef broadcast multi
 if size is None:
 multi = broadcast PyArray_MultiIterNew(2, void *on, void *op)
 array = ndarray PyArray_SimpleNew(multi.nd, multi.dimensions, 
NPY_LONG)
   ^

mtrand.pyx:390:59: Cannot convert Python object to 'npy_intp *'
Error compiling Cython file:

...
 cdef npy_intp i
 cdef broadcast multi
 if size is None:
 multi = broadcast PyArray_MultiIterNew(3, void *on, void *om, 
void *oN)
 array = ndarray PyArray_SimpleNew(multi.nd, multi.dimensions, 
NPY_LONG)
   ^

mtrand.pyx:442:59: Cannot convert Python object to 'npy_intp *'
Error compiling Cython file:

...
 PyArray_DIMS(oa), NPY_LONG)
 length = PyArray_SIZE(array)
 array_data = long *PyArray_DATA(array)
 itera = flatiterPyArray_IterNew(objectoa)
 for i from 0 = i  length:
 array_data[i] = func(state, (double *(itera.dataptr))[0])
 ^

mtrand.pyx:498:41: Python objects cannot be cast to pointers of primitive types
Error compiling Cython file:

...
 flow = PyFloat_AsDouble(low)
 fhigh = PyFloat_AsDouble(high)
 if not PyErr_Occurred():
 return cont2_array_sc(self.internal_state, rk_uniform, size, 
flow, fhigh-flow)
 PyErr_Clear()
 olow = ndarrayPyArray_FROM_OTF(low, NPY_DOUBLE, NPY_ARRAY_ALIGNED)
   ^


Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-22 Thread Orion Poplawski
On 08/22/2012 09:55 AM, Orion Poplawski wrote:
 On 08/21/2012 10:24 AM, Ondřej Čertík wrote:
 Hi,

 I'm pleased to announce the availability of the first beta release of
 NumPy 1.7.0b1.

 Currently in trying to support python 3.3 in Fedora Rawhide (F19) and Fedora
 18 we are doing:

 # Regenerate Cython c sources
 # This is needed with numpy-1.6.2.tar.gz with python 3.3 to avoid an exception
 # with an import call in the generated .c file in the tarball that uses the
 # old default of -1:
 # File mtrand.pyx, line 126, in init mtrand
 (numpy/random/mtrand/mtrand.c:20679)
 #   ValueError: level must be = 0
 # due to the changes in import in 3.3
 # Regenerating with a newer Cython fixes it:
 pushd numpy/random/mtrand/
 rm -v mtrand.c
 cython mtrand.pyx
 popd


If I drop the cython generation it builds, but the python 3 test failure I get 
now is:

+ /usr/bin/python3 -c 'import pkg_resources, numpy ; numpy.test()'
/usr/lib/python3.3/site-packages/nose/core.py:247: ResourceWarning: unclosed 
file _io.TextIOWrapper name='/usr/lib/python3.3/site-packages/nose/usage.txt' 
mode='r' encoding='ANSI_X3.4-1968'
   os.path.dirname(__file__), 'usage.txt'), 'r').read()
S!
 ..
..K..!
 ..
..K...EKK..K..S.E!
 ..
./usr/lib64/python3.3/zipfile.py:1513:
 
ResourceWarning: unclosed file _io.BufferedReader name='/tmp/tmpemcede.npz'
   self.fp = None

Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-22 Thread Orion Poplawski
On 08/22/2012 10:26 AM, Orion Poplawski wrote:
 On 08/22/2012 09:55 AM, Orion Poplawski wrote:
 On 08/21/2012 10:24 AM, Ondřej Čertík wrote:
 Hi,

 I'm pleased to announce the availability of the first beta release of
 NumPy 1.7.0b1.

 Currently in trying to support python 3.3 in Fedora Rawhide (F19) and Fedora
 18 we are doing:

 # Regenerate Cython c sources
 # This is needed with numpy-1.6.2.tar.gz with python 3.3 to avoid an 
 exception
 # with an import call in the generated .c file in the tarball that uses the
 # old default of -1:
 # File mtrand.pyx, line 126, in init mtrand
 (numpy/random/mtrand/mtrand.c:20679)
 #   ValueError: level must be = 0
 # due to the changes in import in 3.3
 # Regenerating with a newer Cython fixes it:
 pushd numpy/random/mtrand/
 rm -v mtrand.c
 cython mtrand.pyx
 popd


 If I drop the cython generation it builds, but the python 3 test failure I get
 now is:
..
 ERROR: Ticket #16
 --
 Traceback (most recent call last):
 File
 /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/core/tests/test_regression.py,
 line 41, in test_pickle_transposed
   b = pickle.load(f)
 EOFError
 ==
 ERROR: Failure: ValueError (can't handle version 187 of numpy.ndarray pickle)
 --
 Traceback (most recent call last):
 File /usr/lib/python3.3/site-packages/nose/failure.py, line 37, in 
 runTest
   raise self.exc_class(self.exc_val).with_traceback(self.tb)
 File /usr/lib/python3.3/site-packages/nose/loader.py, line 232, in 
 generate
   for test in g():
 File
 /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/lib/tests/test_format.py,
 line 429, in test_roundtrip
   arr2 = roundtrip(arr)
 File
 /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/lib/tests/test_format.py,
 line 420, in roundtrip
   arr2 = format.read_array(f2)
 File
 /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/lib/format.py,
 line 449, in read_array
   array = pickle.load(fp)
 ValueError: can't handle version 187 of numpy.ndarray pickle


I should note that I'm taking numpy/core/src/multiarray/scalarapi.c and 
numpy/core/src/multiarray/scalartypes.c.src from git master, which I thought 
had the fix for this.


-- 
Orion Poplawski
Technical Manager 303-415-9701 x222
NWRA, Boulder Office  FAX: 303-415-9702
3380 Mitchell Lane   or...@nwra.com
Boulder, CO 80301   http://www.nwra.com
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-22 Thread Ronan Lamy
Le mercredi 22 août 2012 à 10:59 -0600, Orion Poplawski a écrit :
 On 08/22/2012 10:26 AM, Orion Poplawski wrote:
  On 08/22/2012 09:55 AM, Orion Poplawski wrote:
  On 08/21/2012 10:24 AM, Ondřej Čertík wrote:
  Hi,
 
  I'm pleased to announce the availability of the first beta release of
  NumPy 1.7.0b1.
 
  Currently in trying to support python 3.3 in Fedora Rawhide (F19) and 
  Fedora
  18 we are doing:
 
  # Regenerate Cython c sources
  # This is needed with numpy-1.6.2.tar.gz with python 3.3 to avoid an 
  exception
  # with an import call in the generated .c file in the tarball that uses the
  # old default of -1:
  # File mtrand.pyx, line 126, in init mtrand
  (numpy/random/mtrand/mtrand.c:20679)
  #   ValueError: level must be = 0
  # due to the changes in import in 3.3
  # Regenerating with a newer Cython fixes it:
  pushd numpy/random/mtrand/
  rm -v mtrand.c
  cython mtrand.pyx
  popd
 
 
  If I drop the cython generation it builds, but the python 3 test failure I 
  get
  now is:
 ..
  ERROR: Ticket #16
  --
  Traceback (most recent call last):
  File
  /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/core/tests/test_regression.py,
  line 41, in test_pickle_transposed
b = pickle.load(f)
  EOFError
  ==
  ERROR: Failure: ValueError (can't handle version 187 of numpy.ndarray 
  pickle)
  --
  Traceback (most recent call last):
  File /usr/lib/python3.3/site-packages/nose/failure.py, line 37, in 
  runTest
raise self.exc_class(self.exc_val).with_traceback(self.tb)
  File /usr/lib/python3.3/site-packages/nose/loader.py, line 232, in 
  generate
for test in g():
  File
  /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/lib/tests/test_format.py,
  line 429, in test_roundtrip
arr2 = roundtrip(arr)
  File
  /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/lib/tests/test_format.py,
  line 420, in roundtrip
arr2 = format.read_array(f2)
  File
  /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/lib/format.py,
  line 449, in read_array
array = pickle.load(fp)
  ValueError: can't handle version 187 of numpy.ndarray pickle
 
 
 I should note that I'm taking numpy/core/src/multiarray/scalarapi.c and 
 numpy/core/src/multiarray/scalartypes.c.src from git master, which I thought 
 had the fix for this.

Note that the fix is actually in numpy/core/src/multiarray/methods.c,
see https://github.com/numpy/numpy/pull/371/



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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-22 Thread Orion Poplawski
On 08/22/2012 12:36 PM, Ronan Lamy wrote:
 Le mercredi 22 août 2012 à 10:59 -0600, Orion Poplawski a écrit :

 If I drop the cython generation it builds, but the python 3 test failure I 
 get
 now is:
 ..
 ERROR: Ticket #16
 --
 Traceback (most recent call last):
  File
 /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/core/tests/test_regression.py,
 line 41, in test_pickle_transposed
b = pickle.load(f)
 EOFError
 ==
 ERROR: Failure: ValueError (can't handle version 187 of numpy.ndarray 
 pickle)
 --
 Traceback (most recent call last):
  File /usr/lib/python3.3/site-packages/nose/failure.py, line 37, in 
 runTest
raise self.exc_class(self.exc_val).with_traceback(self.tb)
  File /usr/lib/python3.3/site-packages/nose/loader.py, line 232, in 
 generate
for test in g():
  File
 /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/lib/tests/test_format.py,
 line 429, in test_roundtrip
arr2 = roundtrip(arr)
  File
 /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/lib/tests/test_format.py,
 line 420, in roundtrip
arr2 = format.read_array(f2)
  File
 /builddir/build/BUILDROOT/numpy-1.7.0-0.2.b1.fc19.x86_64/usr/lib64/python3.3/site-packages/numpy/lib/format.py,
 line 449, in read_array
array = pickle.load(fp)
 ValueError: can't handle version 187 of numpy.ndarray pickle


 I should note that I'm taking numpy/core/src/multiarray/scalarapi.c and
 numpy/core/src/multiarray/scalartypes.c.src from git master, which I thought
 had the fix for this.

 Note that the fix is actually in numpy/core/src/multiarray/methods.c,
 see https://github.com/numpy/numpy/pull/371/

Thanks!

-- 
Orion Poplawski
Technical Manager 303-415-9701 x222
NWRA/CoRA DivisionFAX: 303-415-9702
3380 Mitchell Lane  or...@cora.nwra.com
Boulder, CO 80301  http://www.cora.nwra.com
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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-21 Thread Christoph Gohlke
On 8/21/2012 9:24 AM, Ondřej Čertík wrote:
 Hi,

 I'm pleased to announce the availability of the first beta release of
 NumPy 1.7.0b1.

 Sources and binary installers can be found at
 https://sourceforge.net/projects/numpy/files/NumPy/1.7.0b1/

 Please test this release and report any issues on the numpy-discussion
 mailing list. The following problems are known and
 we'll work on fixing them before the final release:

 http://projects.scipy.org/numpy/ticket/2187
 http://projects.scipy.org/numpy/ticket/2185
 http://projects.scipy.org/numpy/ticket/2066
 http://projects.scipy.org/numpy/ticket/1588
 http://projects.scipy.org/numpy/ticket/2076
 http://projects.scipy.org/numpy/ticket/2101
 http://projects.scipy.org/numpy/ticket/2108
 http://projects.scipy.org/numpy/ticket/2150
 http://projects.scipy.org/numpy/ticket/2189

 I would like to thank Ralf for a lot of help with creating binaries
 and other help for this release.

 Cheers,
 Ondrej



Hi Ondrej,

will numpy 1.7.0 final support Python 3.3? The recent patch in the 
master branch seems to work well.

I tested a win-amd64-py2.7\msvc9\MKL build of the numpy 
maintenance/1.7.x branch against a number of package binaries from 
http://www.lfd.uci.edu/~gohlke/pythonlibs/.

The test results are at 
http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-28ffac7/.
 
For comparison, the tests against numpy-MKL-1.6.2 are at 
http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7/.

Besides some numpy 1.7.x test errors due to RuntimeWarning and 
DeprecationWarning, there are hundreds of RuntimeWarning (numpy.dtype 
size changed, may indicate binary incompatibility) when loading Cython 
extensions.

There are additional test failures in scipy, statsmodels, bottleneck, 
skimage, vigra, and mahotas. I did not check in detail or with existing 
tickets (http://projects.scipy.org/ is timing out or responding with 
HTTP 500 status).

Other packages test OK against numpy 1.7.x, e.g. PIL, PyGame, 
matplotlib, Pandas, tables, and numexpr.

Hope it helps.

Christoph


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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-21 Thread Skipper Seabold
On Tue, Aug 21, 2012 at 3:59 PM, Christoph Gohlke cgoh...@uci.edu wrote:

 On 8/21/2012 9:24 AM, Ondřej Čertík wrote:
  Hi,
 
  I'm pleased to announce the availability of the first beta release of
  NumPy 1.7.0b1.
 
  Sources and binary installers can be found at
  https://sourceforge.net/projects/numpy/files/NumPy/1.7.0b1/
 
  Please test this release and report any issues on the numpy-discussion
  mailing list. The following problems are known and
  we'll work on fixing them before the final release:
 
  http://projects.scipy.org/numpy/ticket/2187
  http://projects.scipy.org/numpy/ticket/2185
  http://projects.scipy.org/numpy/ticket/2066
  http://projects.scipy.org/numpy/ticket/1588
  http://projects.scipy.org/numpy/ticket/2076
  http://projects.scipy.org/numpy/ticket/2101
  http://projects.scipy.org/numpy/ticket/2108
  http://projects.scipy.org/numpy/ticket/2150
  http://projects.scipy.org/numpy/ticket/2189
 
  I would like to thank Ralf for a lot of help with creating binaries
  and other help for this release.
 
  Cheers,
  Ondrej
 
 

 Hi Ondrej,

 will numpy 1.7.0 final support Python 3.3? The recent patch in the
 master branch seems to work well.

 I tested a win-amd64-py2.7\msvc9\MKL build of the numpy
 maintenance/1.7.x branch against a number of package binaries from
 http://www.lfd.uci.edu/~gohlke/pythonlibs/.

 The test results are at
 
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-28ffac7/
 .
 For comparison, the tests against numpy-MKL-1.6.2 are at
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7/
 .

 Besides some numpy 1.7.x test errors due to RuntimeWarning and
 DeprecationWarning, there are hundreds of RuntimeWarning (numpy.dtype
 size changed, may indicate binary incompatibility) when loading Cython
 extensions.

 There are additional test failures in scipy, statsmodels, bottleneck,
 skimage, vigra, and mahotas. I did not check in detail or with existing
 tickets (http://projects.scipy.org/ is timing out or responding with
 HTTP 500 status).


Most (all?) of the statsmodels issues are due to structured / record array
view changes discussed in the thread view of recarray issue. I.e.,
rec_array.view((float, 3)) no longer works, though I thought this was fixed.



 Other packages test OK against numpy 1.7.x, e.g. PIL, PyGame,
 matplotlib, Pandas, tables, and numexpr.

 Hope it helps.

 Christoph


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Re: [Numpy-discussion] ANN: NumPy 1.7.0b1 release

2012-08-21 Thread josef . pktd
On Tue, Aug 21, 2012 at 3:59 PM, Christoph Gohlke cgoh...@uci.edu wrote:
 On 8/21/2012 9:24 AM, Ondřej Čertík wrote:
 Hi,

 I'm pleased to announce the availability of the first beta release of
 NumPy 1.7.0b1.

 Sources and binary installers can be found at
 https://sourceforge.net/projects/numpy/files/NumPy/1.7.0b1/

 Please test this release and report any issues on the numpy-discussion
 mailing list. The following problems are known and
 we'll work on fixing them before the final release:

 http://projects.scipy.org/numpy/ticket/2187
 http://projects.scipy.org/numpy/ticket/2185
 http://projects.scipy.org/numpy/ticket/2066
 http://projects.scipy.org/numpy/ticket/1588
 http://projects.scipy.org/numpy/ticket/2076
 http://projects.scipy.org/numpy/ticket/2101
 http://projects.scipy.org/numpy/ticket/2108
 http://projects.scipy.org/numpy/ticket/2150
 http://projects.scipy.org/numpy/ticket/2189

 I would like to thank Ralf for a lot of help with creating binaries
 and other help for this release.

 Cheers,
 Ondrej



 Hi Ondrej,

 will numpy 1.7.0 final support Python 3.3? The recent patch in the
 master branch seems to work well.

 I tested a win-amd64-py2.7\msvc9\MKL build of the numpy
 maintenance/1.7.x branch against a number of package binaries from
 http://www.lfd.uci.edu/~gohlke/pythonlibs/.

 The test results are at
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7-numpy-MKL-1.7.0rc1.dev-28ffac7/.
 For comparison, the tests against numpy-MKL-1.6.2 are at
 http://www.lfd.uci.edu/~gohlke/pythonlibs/tests/20120821-win-amd64-py2.7/.

 Besides some numpy 1.7.x test errors due to RuntimeWarning and
 DeprecationWarning, there are hundreds of RuntimeWarning (numpy.dtype
 size changed, may indicate binary incompatibility) when loading Cython
 extensions.

 There are additional test failures in scipy, statsmodels, bottleneck,
 skimage, vigra, and mahotas. I did not check in detail or with existing
 tickets (http://projects.scipy.org/ is timing out or responding with
 HTTP 500 status).

Thanks Christoph,

All the statsmodels errors (14) look like
http://projects.scipy.org/numpy/ticket/2187
recarray/structured dtype view

Josef


 Other packages test OK against numpy 1.7.x, e.g. PIL, PyGame,
 matplotlib, Pandas, tables, and numexpr.

 Hope it helps.

 Christoph


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