./math/py-numpy, Array processing for numbers, strings, records, and objects

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Branch: CURRENT, Version: 1.16.2, Package name: py27-numpy-1.16.2, Maintainer: pkgsrc-users

NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.


Required to run:
[lang/g95] [math/lapack] [math/blas] [devel/py-setuptools] [devel/py-cython] [lang/python27]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: 66118ac36bc60447d5ac0d0062728efdbe00c0c5
RMD160: 87cdc60e150a2af09fa965a7fab5bc5274264dea
Filesize: 4953.864 KB

Version history: (Expand)


CVS history: (Expand)


   2019-03-04 10:09:46 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-numpy: updated to 1.16.2

1.16.2:
TST: fix vmImage dispatch in Azure
MAINT: remove complicated test of multiarray import failure mode
BUG: fix signed zero behavior in npy_divmod
MAINT: Add functions to parse shell-strings in the platform-native...
BUG: Fix regression in parsing of F90 and F77 environment variables
BUG: parse shell escaping in extra_compile_args and extra_link_args
BLD: Windows absolute path DLL loading
   2019-02-01 10:24:25 by Adam Ciarcinski | Files touched by this commit (7) | Package updated
Log message:
py-numpy: updated to 1.16.1

1.16.1:
* BUG: Check paths are unicode, bytes or path-like
* ENH: add mm->q floordiv
* ENH: port np.core.overrides to C for speed
* BUG: Ensure probabilities are not NaN in choice
* MAINT: add warning to numpy.distutils for LDFLAGS append behavior.
* ENH: add "max difference" messages to np.testing.assert_array_equal...
* BUG: Fix incorrect/missing reference cleanups found using valgrind
  that wraps subprocess
* DOC, TST: Clean up matplotlib imports
* BUG: Fix reference counting for subarrays containing objects
* BUG: Ensure failing memory allocations are reported
* BUG: Fix leak of void scalar buffer info
* MAINT: Change the order of checking for local file.
* BUG: loosen kwargs requirements in ediff1d
* DOC: clarify the extend of __array_function__ support in NumPy...
* BUG: Check that dtype or formats arguments are not None.
* BUG: fix f2py problem to build wrappers using PGI's Fortran
* BUG: double decref of dtype in failure codepath. Test and fix
* BUG, DOC: test, fix that f2py.compile accepts str and bytes,...
* BUG: resolve writeback in arr_insert failure paths
* ENH: Add mm->qm divmod
* BUG: Fix SystemError when pickling datetime64 array with pickle5
* BUG: Fix rounding of denormals in double and float to half casts.
* TEST: pin mingw version
* BUG: ndarrays pickled by 1.16 cannot be loaded by 1.15.4 and...
* BUG: do not Py_DECREF NULL pointer
* ENH: add _dtype_ctype to namespace for freeze analysis
* BUG: fail if old multiarray module detected
* BUG: Do not double-quote arguments passed on to the linker
* BUG: Do not insert extra double quote into preprocessor macros
   2019-01-24 23:27:10 by Maya Rashish | Files touched by this commit (2)
Log message:
py-numpy: backport upstream commit for PR pkg/53887

https://github.com/numpy/numpy/commit/5 … 4fcc926a46
   2019-01-15 22:36:57 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-numpy: updated to 1.16.0

NumPy 1.16.0 Release Notes

This NumPy release is the last one to support Python 2.7 and will be maintained
as a long term release with bug fixes until 2020. Support for Python 3.4 been
dropped, the supported Python versions are 2.7 and 3.5-3.7. The wheels on PyPI
are linked with OpenBLAS v0.3.4+, which should fix the known threading issues
found in previous OpenBLAS versions.

Downstream developers building this release should use Cython >= 0.29 and, if
using OpenBLAS, OpenBLAS > v0.3.4.

This release has seen a lot of refactoring and features many bug fixes, improved
code organization, and better cross platform compatibility. Not all of these
improvements will be visible to users, but they should help make maintenance
easier going forward.
   2018-11-05 10:23:26 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-numpy: updated to 1.15.4

NumPy 1.15.4:

This is a bugfix release for bugs and regressions reported following the 1.15.3
release.  The Python versions supported by this release are 2.7, 3.4-3.7. The
wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg
problems reported for NumPy 1.14.
   2018-10-31 14:13:20 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-numpy: updated to 1.15.3

NumPy 1.15.3:
This is a bugfix release for bugs and regressions reported following the 1.15.2
release.  The Python versions supported by this release are 2.7, 3.4-3.7. The
wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg
problems reported for NumPy 1.14.
   2018-09-24 11:01:20 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-numpy: updated to 1.15.2

NumPy 1.15.2:

This is a bugfix release for bugs and regressions reported following the 1.15.1
release.

* The matrix PendingDeprecationWarning is now suppressed in pytest 3.8.
* The new cached allocations machinery has been fixed to be thread safe.
* The boolean indexing of subclasses now works correctly.
* A small memory leak in PyArray_AdaptFlexibleDType has been fixed.

The Python versions supported by this release are 2.7, 3.4-3.7. The wheels are
linked with OpenBLAS v0.3.0, which should fix some of the linalg problems
reported for NumPy 1.14.
   2018-08-27 08:04:35 by Adam Ciarcinski | Files touched by this commit (4) | Package updated
Log message:
py-numpy: updated to 1.15.1

NumPy 1.15.1:

This is a bugfix release for bugs and regressions reported following the 1.15.0
release.

* The annoying but harmless RuntimeWarning that "numpy.dtype size \ 
changed" has
  been suppressed. The long standing suppression was lost in the transition to
  pytest.
* The update to Cython 0.28.3 exposed a problematic use of a gcc attribute used
  to prefer code size over speed in module initialization, possibly resulting in
  incorrect compiled code. This has been fixed in latest Cython but has been
  disabled here for safety.
* Support for big-endian and ARMv8 architectures has been improved.

The Python versions supported by this release are 2.7, 3.4-3.7. The wheels are
linked with OpenBLAS v0.3.0, which should fix some of the linalg problems
reported for NumPy 1.14.