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Follow up to #5828
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MAINT: remove redundant sorting of eigenvalues
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Commit fac130eb incorrectly replaced input argument `dtype` with
`np.dtype` in the `aligned_array` helper function. Unfortunately this
part of the code was only being tested on OSX so the travis tests missed
this. Run code on all platforms - it should pass anyway.
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At some point the endianness part of the endian complex tests seems to
have dropped off; restore.
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DOC: Changing invalid links to strings
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The string options of the mode parameter are incorrectly resolved as links, rather than showed as strings.
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BLD: distutils shouldn't warn unless compiler_cxx is empty
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Warns on OS X with MacPorts Python because it doesn't recognize clang. There isn't actually a problem, though, as distutils.sysconfig has done its job just fine. Proposed fix.
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The option was removed on the win32 platform regardless of actual
compiler, leading to an error.
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`mode` is a required argument so just declare it as such. This does not
prevent it from being passed as a keyword argument.
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Fix #2128 once again.
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Not sure why the error was still in the docs.
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This fixes the distutils built from an sdist (e.g. under tox),
without including _build_utils in binary distributions or the installed numpy.
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The intention is to make it easier to spot missing items
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The sub-package is already included in bento builds, it appears
to have been missed from distutils.
This fixes the following error whilst running any tests with tox
```
ImportError: No module named build_utils.apple_accelerate
```
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Update patch from Intel by moving POWL blacklist from npy_math_private.h
to npy_config.h blacklists.
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Thanks to Intel (contact: Yolanda Chen) for this patch.
The Intel “powl” on Windows only supports 80 bits longdouble to keep
compatibility with Microsoft VC.
Microsoft VC only support 64 bits longdouble, from “C:\Program Files
(x86)\Microsoft Visual Studio 11.0\VC\include\math.h”, powl is redefined as:
#define powl(x,y) ((long double)pow((double)(x), (double)(y)))
However in npy_math.c (generated from npy_math.c.src), this definition is
undefined even though HAVE_POWL is set for the Intel C compilers.
At line 384 of npy_math.c.src, we have::
#ifdef @kind@@c@
#undef @kind@@c@
#endif
#ifndef HAVE_@KIND@@C@
@type@ npy_@kind@@c@(@type@ x, @type@ y)
{
return (@type@) npy_@kind@((double)x, (double) y);
}
#endif
The expanded function generated in “npy_math.c” will look like::
#ifdef powl
#undef powl
#endif
#ifndef HAVE_POWL
npy_longdouble npy_powl(npy_longdouble x, npy_longdouble y)
{
return (npy_longdouble) npy_pow((double)x, (double) y);
}
#endif
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- Fix an incorrect import
- Enable C99 complex support (Qstd=c99)
- Don't use MSVC complex types for Intel compilers
Thanks to Intel for this patch (contact: Yolanda Chen).
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MAINT: Init master branch for 1.11.0 development.
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Create 1.11.0-notes.rst template.
Update version number in setup.py.
Update version number in numpyconfig.h.
Update version number in pavement.py.
Update version number in bento.info.
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TST: on Windows run f2py from the Scripts directory
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Fix test_system_info errors and failures on Windows
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Fixes test_system_info.TestSystemInfoReading.test_compile1 failure on Windows
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Don't pass un-encodable env to spawn
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MAINT: fix raise_warnings in np.test in py3
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In python3 np.test would raise an error if raise_warnings is a list
since dict.keys() now returns a dict_keys instance. Eg,
np.test('full', raise_warnings=[FutureWarning])
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MAINT: adjust tolerance for validating the sum of probs in random.choice
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Fix star imports f2py
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The fixes are generated by autopep8, which uses line continuation.
There are 441 cases that it is unable to handle, involving strings, and
that is more, and more delicate, work than I want to do at this time.
The line continuation characters at least mark some of the long lines.
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Decided to bite the bullet on this one. The code is certainly more
readable, so should be easier to fix if we need to.
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