| Commit message (Collapse) | Author | Age | Files | Lines |
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The numliterals fixer replaces the old style octal number like '01' by
'0o1' removes the 'L' suffix.
Octal values were previously mistakenly specified in some dates, those
uses have been corrected by removing the leading zeros.
Simply Removing the 'L' suffix should not be a problem, but in some
testing code it looks neccesary, so in those places the Python long
constructor is used instead.
The 'long' type is no longer defined in Python 3. Because we need to
have it defined for Python 2 it is added to numpy/compat/np3k.py where
it is defined as 'int' for Python 3 and 'long' for Python 2. The `long`
fixer then needs to be skipped so that it doesn't undo the good work.
Closes #3074, #3067.
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In Python 3 zip, map, and filter are all iterators, consequently the
itertools variants izip, imap, and ifilter have been removed and the
itertools fixer replaces them with the unprefixed names.
Because the places where the iterator variants are used in current look
like places where the iterator version might be useful, the approach
taken here is to define the prefixed versions to the unprefixed versions
for Python 3, but otherwise import them from itertools.
Closes #3233.
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np.delete abuses range to calculate start/stop/step and len. This
would create potentially large intermediates if it was a list, so
for numpy/lib/function_base.py and python < 3, use range = xrange.
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There were several smaller to larger problems for these two functions,
that this addresses:
* delete did not handle out of bound values graciously (ignoring negative
ones)
* both were unnecessarily slow due to use of sets
* insert did not handle unsorted indices correctly
Further changes:
* Add FutureWarning for boolean obj, so it can be handled similar to a
boolean mask with indexing.
* Add FutureWarning to remove inconsistent special cases for 0-d arrays
(neither insertion nor deletion along an axis make sense for a scalar)
* Allow insertion of an array with more then one element along axis when
obj is a sequence with a single item. (i.e. array([1])).
* Reintroduce speed optimization for scalar in insert that existed in 1.6.
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2to3: Apply `map` fixer.
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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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2to3: apply `dict` fixer.
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In Python3 `dict.items()`, `dict.keys()`, and `dict.values()` are
iterators. This causes problems when a list is needed so the 2to3 fixer
explicitly constructs a list when is finds on of those functions.
However, that is usually not necessary, so a lot of the work here has
been cleaning up those places where the fix is not needed. The big
exception to that is the `numpy/f2py/crackfortran.py` file. The code
there makes extensive use of loops that modify the contents of the
dictionary being looped through, which raises an error. That together
with the obscurity of the code in that file made it safest to let the
`dict` fixer do its worst.
Closes #3050.
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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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2to3: Apply `imports` fixer.
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The `imports` fixer deals with the standard packages that have been
renamed, removed, or methods that have moved.
cPickle -- removed, use pickle
commands -- removed, getoutput, getstatusoutput moved to subprocess
urlparse -- removed, urlparse moved to urllib.parse
cStringIO -- removed, use StringIO or io.StringIO
copy_reg -- renamed copyreg
_winreg -- renamed winreg
ConfigParser -- renamed configparser
__builtin__ -- renamed builtins
In the case of `cPickle`, it is imported as `pickle` when python < 3 and
performance may be a consideration, but otherwise plain old `pickle` is
used.
Dealing with `StringIO` is a bit tricky. There is an `io.StringIO`
function in the `io` module, available since Python 2.6, but it expects
unicode whereas `StringIO.StringIO` expects ascii. The Python 3
equivalent is then `io.BytesIO`. What I have done here is used BytesIO
for anything that is emulating a file for testing purposes. That is more
explicit than using a redefined StringIO as was done before we dropped
support for Python 2.4 and 2.5.
Closes #3180.
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DOC: Formatting fixes using regex
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also other spacing or formatting mistakes
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2to3 apply import fixer
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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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Make AdvancedNew iter more 0-d aware
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In python3 range is an iterator and `xrange` has been removed. This has
two consequence for code:
1) Where a list is needed `list(range(...))` must be used.
2) `xrange` must be replaced by `range`
Both of these changes also work in python2 and this patch makes both.
There are three places fixed that do not need it, but I left them in
so that the result would be `xrange` clean.
Closes #3092
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I'm not sure this is the right fix, but test_closing_fid need to check
that garbage collection will close a file that goes through a bunch of
openings followed by dropping the reference. So the fix is to ignore
warnings during the test. I'd just ignore ResourceWarning, but it does
not look to be a built in warning in Python 2.7.
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2to3: Put `from __future__ import division` in every python file.
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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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Replaces old style `f.im_func` and `f.im_class` method attributes
with `f.__func__` and `f.__class__`. Closes #3070.
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Replaces the
raise Exception, msg:
form with
raise Exception(msg):
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2to3: Fix callable.
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2to3: Apply `funcattrs` fixer. Closes #3058.
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This replaces the `b.func_xxxx` with newer `__xxxx__` attribute names
For example, `f.__name__` replaces `f.func_name`
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This changes the `exec` command to the `exec` function.
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Example: except ValueError,msg: -> except ValueError as msg:
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fix percentile docstring
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This broke when function_base._nannop tried to fill a boolean array with
integer zeros, raising a 'safe_casting' error. It looks like nanargmax and
nanargmin would also break, and were probably incorrect for booleans in any
case. The fix is not to use fill values for boolean and integer dtypes.
Previously that was only done for the integer dtypes.
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Remove scons support
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This removes files and code supporting scons builds. After this change
numpy will only support builds using distutils or bento. The removal of
scons has been discussed on the list several times and a decision has been
made that scons support is no longer needed. This was originally discussed
for numpy 1.7 and because the distutils and bento methods are still
available we are skipping the usual deprecation period.
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Fix ndindex for 0-d arrays.
Add tests for tuple arguments to ndindex
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The behavior of in1d is not really defined here, but it should
be at least consistent over different execution branches. This is
what it has been for most usages.
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