| Commit message (Collapse) | Author | Age | Files | Lines |
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Fixes GH6491
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Fixes gh-5862
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closes gh-5839
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ENH: PyArray_FromInterface checks descr if typestr is np.void
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When the 'typestr' member of the __array_interface__ dictionary defines
a np.void dtype, check the 'descr' member, and if it is a valid dtype
description and it is not the default one, use it to construct the
dtype for the array to return.
This fixes #5081, as as_strided no longer has to worry about changing
the dtype of the return.
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Per the mailing list discussion [1], I have implemented a new function
`broadcast_to` that broadcasts an array to a given shape according to
numpy's broadcasting rules.
[1] http://mail.scipy.org/pipermail/numpy-discussion/2014-December/071796.html
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The rules enforced are the same as those used for scipy.
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Currently, calling as_strided for object array results in 'TypeError: Cannot change data-type for object array.'. Fix so that dtype of new array is only set for void dtype, as originally intended.
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Run the 2to3 ws_comma fixer on *.py files. Some lines are now too long
and will need to be broken at some point. OTOH, some lines were already
too long and need to be broken at some point. Now seems as good a time
as any to do this with open PRs at a minimum.
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broadcast_arrays() does not handle struct and custom dtypes correctly. Dtype of returned broadcasted arrays is always '|V8'. Fix broadcast_arrays() so that dtype of returned arrays is correct dtype for user defined dtypes.
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In Python 3 `map` is an iterator while in Python 2 it returns a list.
The simple fix applied by the fixer is to inclose all instances of map
with `list(...)`. This is not needed in all cases, and even where
appropriate list comprehensions may be preferred for their clarity.
Consequently, this patch attempts to use list comprehensions where it
makes sense.
When the mapped function has two arguments there is another problem that
can arise. In Python 3 map stops execution when the shortest argument
list is exhausted, while in Python 2 it stops when the longest argument
list is exhausted. Consequently the two argument case might need special
care. However, we have been running Python3 converted versions of numpy
since 1.5 without problems, so it is probably not something that affects
us.
Closes #3068
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Add `print_function` to all `from __future__ import ...` statements
and use the python3 print function syntax everywhere.
Closes #3078.
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The new import `absolute_import` is added the `from __future__ import`
statement and The 2to3 `import` fixer is run to make the imports
compatible. There are several things that need to be dealt with to make
this work.
1) Files meant to be run as scripts run in a different environment than
files imported as part of a package, and so changes to those files need
to be skipped. The affected script files are:
* all setup.py files
* numpy/core/code_generators/generate_umath.py
* numpy/core/code_generators/generate_numpy_api.py
* numpy/core/code_generators/generate_ufunc_api.py
2) Some imported modules are not available as they are created during
the build process and consequently 2to3 is unable to handle them
correctly. Files that import those modules need a bit of extra work.
The affected files are:
* core/__init__.py,
* core/numeric.py,
* core/_internal.py,
* core/arrayprint.py,
* core/fromnumeric.py,
* numpy/__init__.py,
* lib/npyio.py,
* lib/function_base.py,
* fft/fftpack.py,
* random/__init__.py
Closes #3172
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This should be harmless, as we already are division clean. However,
placement of this import takes some care. In the future a script
can be used to append new features without worry, at least until
such time as it exceeds a single line. Having that ability will
make it easier to deal with absolute imports and printing updates.
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functions that cannot be made to be ufuncs.
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