[Numpy-svn] [numpy/numpy] 6a61be: ENH: Add dtype argument to random.randint.

[GitHub]

  Branch: refs/heads/master
  Home:   https://github.com/numpy/numpy
  Commit: 6a61be6b67a747d3228ffc8882a03c86a378ea10
      https://github.com/numpy/numpy/commit/6a61be6b67a747d3228ffc8882a03c86a378ea10
  Author: Charles Harris <charlesr.harris at gmail.com>
  Date:   2016-01-02 (Sat, 02 Jan 2016)

  Changed paths:
    M numpy/core/include/numpy/npy_common.h
    A numpy/random/mtrand/mt_compat.h
    M numpy/random/mtrand/mtrand.pyx
    M numpy/random/mtrand/numpy.pxd
    M numpy/random/mtrand/randomkit.c
    M numpy/random/mtrand/randomkit.h

  Log Message:
  -----------
  ENH: Add dtype argument to random.randint.

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.


  Commit: 5aca879e18541eff3daf506786b07a950a075b37
      https://github.com/numpy/numpy/commit/5aca879e18541eff3daf506786b07a950a075b37
  Author: Charles Harris <charlesr.harris at gmail.com>
  Date:   2016-01-02 (Sat, 02 Jan 2016)

  Changed paths:
    M numpy/random/tests/test_random.py

  Log Message:
  -----------
  TST: Add tests for new randint functionality.

* 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.


  Commit: 51726e59137aa0ea6cf216d95f23fe788a7164ea
      https://github.com/numpy/numpy/commit/51726e59137aa0ea6cf216d95f23fe788a7164ea
  Author: Charles Harris <charlesr.harris at gmail.com>
  Date:   2016-01-02 (Sat, 02 Jan 2016)

  Changed paths:
    M numpy/core/tests/test_mem_overlap.py

  Log Message:
  -----------
  TST,BUG: Fix use of randint in test_mem_overlap.py.

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.


  Commit: 5132ce0ad0ff4e7c448c80eeaa806678d558f81c
      https://github.com/numpy/numpy/commit/5132ce0ad0ff4e7c448c80eeaa806678d558f81c
  Author: Charles Harris <charlesr.harris at gmail.com>
  Date:   2016-01-02 (Sat, 02 Jan 2016)

  Changed paths:
    M numpy/core/src/multiarray/multiarray_tests.c.src

  Log Message:
  -----------
  BUG: Get rid of C++ style comment in multiarray_tests.c.src


  Commit: 6a04b9217675a1a072b01ade0f2664b30f67bde6
      https://github.com/numpy/numpy/commit/6a04b9217675a1a072b01ade0f2664b30f67bde6
  Author: Charles Harris <charlesr.harris at gmail.com>
  Date:   2016-01-02 (Sat, 02 Jan 2016)

  Changed paths:
    M tools/travis-test.sh

  Log Message:
  -----------
  TST: Increase the allowable warning count to 1 for i386 debug test.

Cython generated C code contains the number '-2147483648L', which
leads to a warning on 32 bit platforms:

"Warning: this decimal constant is unsigned only in ISO C90"

See the discussion at http://stackoverflow.com/questions/9941261/

The compiled code seems to run correctly despite the warning and
if there are problems, they should turn up in the nose testing.


  Commit: 07fa8cc957880614319aeb5b88c88ae367d954d9
      https://github.com/numpy/numpy/commit/07fa8cc957880614319aeb5b88c88ae367d954d9
  Author: Charles Harris <charlesr.harris at gmail.com>
  Date:   2016-01-02 (Sat, 02 Jan 2016)

  Changed paths:
    M appveyor.yml

  Log Message:
  -----------
  TST: Enable AppVeyor failure to be reported.

AppVeyor failures were filtered out until numpy issues were fixed.
The last issues were the test_mem_overlap failures on 64 bit windows,
and those are fixed.


  Commit: bc2a97bde26a026e75adec7ec70566be3005c47c
      https://github.com/numpy/numpy/commit/bc2a97bde26a026e75adec7ec70566be3005c47c
  Author: Charles Harris <charlesr.harris at gmail.com>
  Date:   2016-01-02 (Sat, 02 Jan 2016)

  Changed paths:
    M doc/release/1.11.0-notes.rst

  Log Message:
  -----------
  DOC: Document new randint dtype parameter in 1.11.0 release notes.


  Commit: 9fb9288f461c7c7af9708f136fa4f29acdc734a8
      https://github.com/numpy/numpy/commit/9fb9288f461c7c7af9708f136fa4f29acdc734a8
  Author: Charles Harris <charlesr.harris at gmail.com>
  Date:   2016-01-03 (Sun, 03 Jan 2016)

  Changed paths:
    M appveyor.yml
    M doc/release/1.11.0-notes.rst
    M numpy/core/include/numpy/npy_common.h
    M numpy/core/src/multiarray/multiarray_tests.c.src
    M numpy/core/tests/test_mem_overlap.py
    A numpy/random/mtrand/mt_compat.h
    M numpy/random/mtrand/mtrand.pyx
    M numpy/random/mtrand/numpy.pxd
    M numpy/random/mtrand/randomkit.c
    M numpy/random/mtrand/randomkit.h
    M numpy/random/tests/test_random.py
    M tools/travis-test.sh

  Log Message:
  -----------
  Merge pull request #6910 from charris/add-64-bit-random-int

ENH: Add dtype argument to random.randint.


Compare: https://github.com/numpy/numpy/compare/5dab9275475e...9fb9288f461c