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This script is meant to be run stand-alone (and should probably
just not be at this place), but moving these down is cleaner in
any case.
The issue is that our "public API" tests import the module and
then modify the global state.
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* Conversion of some strings to fstrings
* Remove spaces
* Update numpy/ma/mrecords.py
Co-authored-by: Bas van Beek <43369155+BvB93@users.noreply.github.com>
* Update numpy/ma/tests/test_old_ma.py
Co-authored-by: Bas van Beek <43369155+BvB93@users.noreply.github.com>
* Update numpy/ma/timer_comparison.py
Co-authored-by: Bas van Beek <43369155+BvB93@users.noreply.github.com>
Co-authored-by: Jakob <jakobjakobson13@posteo.de>
Co-authored-by: Bas van Beek <43369155+BvB93@users.noreply.github.com>
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Inheriting from object was necessary for Python 2 compatibility to use
new-style classes. In Python 3, this is unnecessary as there are no
old-style classes.
Dropping the object is more idiomatic Python.
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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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The aim here is to separate out the nose dependent files prior to adding
pytest support. This could be done by adding new files to the general
numpy/testing directory, but I felt that it was to have the relevant
files separated out as it makes it easier to completely remove nose
dependencies when needed.
Many places were accessing submodules in numpy/testing directly, and in
some cases incorrectly. That presented a backwards compatibility
problem. The solution adapted here is to have "dummy" files whose
contents will depend on whether of not pytest is active. That way the
module looks the same as before from the outside.
In the case of numpy itself, direct accesses have been fixed. Having
proper `__all__` lists in the submodules helped in that.
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an ImportError.
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Also
* Add __all__ to numpy/ma/testutils.py
* Remove various stray "#"
We might want to consider removing/refactoring both numpy/ma/bench.py
and numpy/ma/timer_comparison.
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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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Now that Python < 2.6 is no longer supported we can use the errstate
context manager in places where constructs like
```
old = seterr(invalid='ignore')
try:
blah
finally:
seterr(**old)
```
were used.
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MAINT: Cleanup some imports involving reduce.
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Because reduce has been available in functools since Python 2.6 we
can get rid of the version checks we currently have before we import
it.
Also removes some reduce related skips in tools/py3tool.py. We were
already skipping the reduce fixer so this has no effect other than
cleaning up the code.
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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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Instead, manually import reduce where necessary.
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Standardize NumPy import as "import numpy as np".
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