| Commit message (Collapse) | Author | Age | Files | Lines |
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form.
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products. Add some tests for matrix products. Include a `syrk` vs. `gemm` test case.
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MAINT, STY: Removed unused variable in f2py/f90mod_rules.py
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DOC: Update 6972
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[ci skip]
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[ci skip]
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[ci skip]
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[ci skip]
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BLD: fix build error for mingw32 compiler on Windows
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Related Issue http://stackoverflow.com/questions/33886558/numpy-installation-error-mingw32ccompiler-instance-has-no-attribute-compile-o
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STY: Place conditional opening braces on the same line
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Fixes gh-6712.
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MAINT: distutils cleanup for Pyrex support and unused f2py/swig tests
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ENH: Use `syrk` to compute certain dot products more quickly and accurately
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accurately in certain special cases.
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ENH: allow single input argument in numpy.broadcast
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BUG recarray slices should preserve subclass.
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of its self work correctly.
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Fix datetime roll='modifiedpreceding' bug
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Some of the documentation for newbyteorder, copy and pasted in several
spots, had paragraphs ending in `::`, initiating a sphinx generated
Verbatim environment and resulting in "LaTeX Error: Too deeply nested".
The user_array.container class needed non-empty class documentation.
That that caused a problem is probably a numpydoc bug, but it is easy to
fix.
[skip ci]
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MAINT, DOC: Correct supported interval for mtrand._rand_int32.
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Closes gh-6647.
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ENH: clarify error message of broadcast
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ENH: Add dtype argument to random.randint.
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The default randint function returns a C long type which does not have
enough range to test indexes on Windows 64. The fix here is to use
specify a np.intp dtype for the randint call now that we have that
option.
Closes #6812.
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* check exceptions
* check extreme bounds are reachable
* check that all values are in the specified bounds
* check repeatability of sequences
More exact statistical tests would be nice, but that is another
project.
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Random ndarrays of the following types can now be generated:
* np.bool,
* np.int8, np.uint8,
* np.int16, np.uint16,
* np.int32, np.uint32,
* np.int64, np.uint64,
* np.int_ (long), np.intp
The specification is by precision rather than by C type. Hence, on some
platforms np.int64 may be a `long` instead of `long long` even if the
specified dtype is `long long` because the two may have the same
precision. The resulting type depends on which c type numpy uses for the
given precision. The byteorder specification is also ignored, the
generated arrays are always in native byte order.
The dtype of the result could be made more explicit if desired without
changing the user visible results.
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Sorting and unaligned void type should not segfault.
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Revert troublesome parts of gh-5929. Copyswap cannot be relied
upon for void types containing objects.
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MAINT: Simplify some tests using temppath context manager.
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The test was checking whether the f2py script was installed as either of
two names, but was only catching OSError, so the second check was
skipped if the first failed for another reason. The caused the
runtests.py script to fail it does not install the script as f2py but
rather with the python version appended.
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This replaces code of the pattern
```
fd, name = tempfile.mkstemp(...)
os.close(fd)
try:
do stuff with name
finally:
os.remove(name)
```
with
```
with temppath() as name:
do stuff with name
```
A few more complicated cases are also handled. The remains some
particularly gnarly code the could probably be refactored to use
temppath, but that is a more demanding project.
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