| Commit message (Collapse) | Author | Age | Files | Lines |
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As numpy is Python 3 only, these import statements are now unnecessary
and don't alter runtime behavior.
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- Always enable __array_function__ overrides.
- Remove special cases for Python 2 compatibility.
- Document these changes in 1.17.0-notes.rst.
It will be good to see ASV numbers to understand the performance implications
of these changes. If need be, we can speed up NumPy functions internally by
using non-dispatched functions (with ``.__wrapped__``).
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* ported the refguide_check module from SciPy for usage
in NumPy docstring execution/ verification; added the
refguide_check run to Azure Mac OS CI
* adjusted NumPy docstrings such that refguide_check passes
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Per discussion on the mailing list, __array_function__ isn't quite ready to
release as part of NumPy 1.16:
https://mail.python.org/pipermail/numpy-discussion/2018-November/078949.html
We'd like to improve performance a bit, and it will be easier to support
introspection on NumPy functions if we support Python 3 only.
So for now, you need to set the environment variable
``NUMPY_EXPERIMENTAL_ARRAY_FUNCTION=1`` to enable dispatching.
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* ENH: __array_function__ support for np.lib, part 2
xref GH12028
np.lib.npyio through np.lib.ufunclike
* Fix failures in numpy/core/tests/test_overrides.py
* CLN: handle depreaction in dispatchers for np.lib.ufunclike
* CLN: fewer dispatchers in lib.twodim_base
* CLN: fewer dispatchers in lib.shape_base
* CLN: more dispatcher consolidation
* BUG: fix test failure
* Use all method instead of function in assert_equal
* DOC: indicate n is array_like in scimath.logn
* MAINT: updates per review
* MAINT: more conservative changes in assert_array_equal
* MAINT: add back in comment
* MAINT: casting tweaks in assert_array_equal
* MAINT: fixes and tests for assert_array_equal on subclasses
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converted to arrays
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complex values
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This reverts commit 4e2dd4140e2a7220ef645665a7ce6381493d273d.
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No need to reinvent the wheel here - the ufunc machinery will handle the out arguments
Fixes #8993
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Fixes gh-8995
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The strings in error messages were left untouched
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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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the ufunc of the same name.
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with subclasses of ndarray
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they are still an improvement)
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Fix ticket #878 differently.
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with infinities. See ticket #519
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extraneous whitespace
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