| Commit message (Collapse) | Author | Age | Files | Lines |
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BUG: fix some errors raised when minlength is incorrect in np.bincount
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The tests were looking at the formatting of other elements in the string
which is not relevant for the things testsed in this case. By looking
only at the array formatting, we guarantee consistency across systems.
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It's silly to check scalars when their string representations will vary
so much from system to system.
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assert_approx_equal & assert_almost_equal make internal use of
build_err_msg so a few tests have been added to check that the errors
are formatted correctly.
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This check is needed now that build_err_msg takes a precision argument,
which is only relevant if the things being compared are ndarrays.
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assert_array_almost_equal now prints the number of digits that were
being compared in the test instead of always printing 8 (the default
for array_repr). This would lead to uninformattive error messages.
Fixes #2367
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Fixes #2552. Changes primary test expression in function.
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Casting y to an inexact type fixes problems such as
abs(MIN_INT) < 0, and generally makes sense since the allclose
logic is inherently for float types.
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Boolean - is not well defined, especially the unary and
binary operator are not compatible. In general boolean
minus seems to have no real application and does not do
what might be expected.
All "allclose" type functions (numpy, tests, masked) have to
now check for boolean to avoid the deprecation warning. In
the future one could think about removing it again and just
allowing the upcast.
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This results in errors whenever you run tests using KnownFailure
like so: ``python test_mymodule.py`` (where run_module_suite is
used in the file, like numpy and scipy do).
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Cosmetic adjustments to previous commit (893fe99) following "charris"'s
comments.
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Adding an 'argv' optional argument to the
"numpy.testing.run_module_suite" function lets the client pass arguments
to the nose testrunner.
For example, this lets the user add things like:
run_module_suite(sys.argv)
at the end of a test module, so that arguments specified on the command
line will get passed to the nose runner. The user could then run:
$ python test_module.py --nocapture
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Allows deferring evaluation until failure.
Used for blocked minmax test which evaluate array representations for
the error message many thousand times accumulating to a full second
useless runtime.
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improves test performance by about 15%
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Minimize alignment combinations to useful set with SSE, might need to
be revisited if we add AVX support.
Move large data test_zeros test to slow and drop the extremely slow
count_nonzero() call.
Rename gen_alignment_data to _gen_alignment_data (private) to reserve
right to change it, e.g. add min_size.
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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 is as good a time as any with open PR's at a low.
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nanmax, nanmin
--------------
Add out and keepdims keywords.
nanargmin, nanargmax
--------------------
A NanWarning is raised if an all NaN slice detected. For all such
slices np.iingo(np.intp).min is returned as the index value.
nansum
------
The keywords dtype, out, and keepdims are added.
A FutureWarning is raised, as in the future the mean of an empty
slice after NaN replacement will be 0 instead of the current NaN.
nanmean, nanvar, nanstd
-----------------------
For all, if the input array is of inexact type then the dtype and out
parameters must be of inexact type if specified. That insures that NaNs
can be returned when appropriate.
The nanmean function detects empty slices after NaN replacement and
raises a NanWarning. NaN is returned as the value for all such slices.
The nanmean and nanstd functions detect degrees of freedom <= 0 after
NaN replacement and raise a NanWarning. NaN is returned as the value for
all such slices.
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Deprecate np.testing.importall - it's pointless and partially broken.
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WarningManager was a workaround for the lack of the with statement
in Python versions < 2.6. As those versions are no longer supported
it can be removed.
Deprecation notes are added to WarningManager and WarningMessage, but
to avoid a cascade of messages in third party apps, no warnings are
raised at this time, that can be done later.
Closes #3519.
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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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The numarray and oldnumeric modules are deprecated. This is a bit tricky
as raising a DeprecationWarning on import causes an error when tests are
run. To deal with that, a ModuleDeprecationWarning class is added to
numpy and NoseTester is modified to ignore that warning during testing.
Closes #2905
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specialize the sqrt ufunc for float and double and vectorize it using
SSE2.
improves performance by 4/2 for float/double if one is not memory bound
due to non-cached data.
performance is always better on all tested machines (amd phenom X2,
intel xeon 5xxx/7xxx, core2duo, corei7)
This version will not set errno on invalid input, but numpy only checks
the fpu flags so the behavior is the same.
In principle the compiler could autovectorize it when setting ffast-math
(for no errno) and specializing the loop for the vectorizable strides
and giving it some hints (restrict, __builtin_assume_aligned, etc.),
but its simpler and more reliable to simply vectorize it by hand.
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Setuptools tends to set +x to the installed test scripts, which makes
numpy.test() to not run any tests. Having --exe always enabled is not
problematic because only files matching 'test_*.py' are looked into.
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Python 3 removes the builtin types from the types module. The types
fixer replaces such references with the builtin types where possible
and also takes care of some special cases:
types.TypeNone <- type(None)
types.NotImplementedType <- type(NotImplemented)
types.EllipsisType <- type(Ellipsis)
The only two tricky substitutions are
types.StringType <- bytes
types.LongType <- int
These are fixed up to support both Python 3 and Python 2 code by
importing the long and bytes types from numpy.compat.
Closes #3240.
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2to3: Apply basestring fixer.
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The basestring class is not defined in Python 3 and the fixer replaces
it with str. In order to have a common code base we define basestring in
numpy/compat/py3k.py to be str when the Python version is >= 3,
otherwise basestring and import it where needed. That works for most
cases, but there are a few files where the version dependent define
needs to be in the file.
Closes #3042.
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The line feed is annoying as it makes Nose's verbose test output not
print one line per one test.
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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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This replaces python backtics with repr(...). The backtics were mostly
used to generate strings for printing with a string format and it is
tempting to replace `'%s' % repr(x)` with `'%r' % x`. That would work
except where `x` happened to be a tuple or a dictionary but, because it
would be significant work to guarantee that and because there are not
many places where backtics are used, the safe path is to let the repr
replacements stand.
Closes #3083.
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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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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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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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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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2to3: Apply `methodattrs` fixes.
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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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2to3: Apply `filter` fixes. Closes #3053.
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2to3 does a lot of list(filter(...)) sort of thing which can be
avoided by using list comprehensions instead of filters. This
also seems to clarify the code to a considerable degree.
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