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

[ CVSweb ] [ Homepage ] [ RSS ] [ Required by ] [ Add to tracker ]


Branch: CURRENT, Version: 1.14.3nb1, Package name: py27-numpy-1.14.3nb1, 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:
[devel/py-nose] [pkgtools/cwrappers]

Master sites:

SHA1: 7c38949d06cf4e090eb96cbafa6269546561a80c
RMD160: cf0ab10d8a4da4bb9c21f38889043d8652ca1d49
Filesize: 4785.085 KB

Version history: (Expand)


CVS history: (Expand)


   2018-05-16 08:53:18 by Min Sik Kim | Files touched by this commit (1) | Package updated
Log message:
math/py-numpy: Bump PKGREVISION for the new patch

The patch to turn off debugging options has changed the binary package
of py-numpy.
   2018-05-14 08:36:17 by Adam Ciarcinski | Files touched by this commit (2)
Log message:
py-numpy: Do not generate debug symbols
   2018-05-02 06:42:25 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-numpy: updated to 1.14.3

NumPy 1.14.3:
This is a bugfix release for a few bugs reported following the 1.14.2 release:
- np.lib.recfunctions.fromrecords accepts a list-of-lists, until 1.15
- In python2, float types use the new print style when printing to a file
- style arg in "legacy" print mode now works for 0d arrays
   2018-04-03 20:30:45 by Min Sik Kim | Files touched by this commit (2)
Log message:
math/py-numpy: Disable openblas detection

This package should use math/blas.
   2018-03-13 12:34:08 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-numpy: updated to 1.14.2

1.14.2:
This is a bugfix release for some bugs reported following the 1.14.1 release. \ 
The major
problems dealt with are as follows.

Residual bugs in the new array printing functionality.
Regression resulting in a relocation problem with shared library.
Improved PyPy compatibility.
   2018-02-22 11:50:47 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-numpy: updated to 1.14.1

NumPy 1.14.1 Release Notes

This is a bugfix release for some problems reported following the 1.14.0 \ 
release. The major
problems fixed are the following.

Problems with the new array printing, particularly the printing of complex
values, Please report any additional problems that may turn up.
Problems with np.einsum due to the new optimized=True default. Some
fixes for optimization have been applied and optimize=False is now the
default.
The sort order in np.unique when axis=<some-number> will now always
be lexicographic in the subarray elements. In previous NumPy versions there
was an optimization that could result in sorting the subarrays as unsigned
byte strings.
The change in 1.14.0 that multi-field indexing of structured arrays returns a
view instead of a copy has been reverted but remains on track for NumPy 1.15.
Affected users should read the 1.14.1 Numpy User Guide section
"basics/structured arrays/accessing multiple fields" for advice on how to
manage this transition.
   2018-01-10 09:31:24 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-numpy: updated to 1.14.0

NumPy 1.14.0 Release Notes

Numpy 1.14.0 is the result of seven months of work and contains a large number
of bug fixes and new features, along with several changes with potential
compatibility issues. The major change that users will notice are the
stylistic changes in the way numpy arrays and scalars are printed, a change
that will affect doctests. See below for details on how to preserve the
old style printing when needed.

A major decision affecting future development concerns the schedule for
dropping Python 2.7 support in the runup to 2020. The decision has been made to
support 2.7 for all releases made in 2018, with the last release being
designated a long term release with support for bug fixes extending through
2019. In 2019 support for 2.7 will be dropped in all new releases. More details
can be found in the relevant NEP_.

This release supports Python 2.7 and 3.4 - 3.6.
   2017-10-05 10:21:27 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-numpy: update to 1.13.3

NumPy 1.13.3:
This is a bugfix release for some problems found since 1.13.1. The most
important fixes are for CVE-2017-12852 and temporary elision. Users of earlier
versions of 1.13 should upgrade.