Commit graph

31 commits

Author SHA1 Message Date
adam
5d458ce4fe Changes 1.7.1:
gh-2973   Fix `1` is printed during numpy.test()
gh-2983   BUG: gh-2969: Backport memory leak fix 80b3a34.
gh-3007   Backport gh-3006
gh-2984   Backport fix complex polynomial fit
gh-2982   BUG: Make nansum work with booleans.
gh-2985   Backport large sort fixes
gh-3039   Backport object take
gh-3105   Backport nditer fix op axes initialization
gh-3108   BUG: npy-pkg-config ini files were missing after Bento build.
gh-3124   BUG: PyArray_LexSort allocates too much temporary memory.
gh-3131   BUG: Exported f2py_size symbol prevents linking multiple f2py
modules.
gh-3117   Backport gh-2992
gh-3135   DOC: Add mention of PyArray_SetBaseObject stealing a reference
gh-3134   DOC: Fix typo in fft docs (the indexing variable is 'm', not 'n').
gh-3136   Backport 3128
2013-05-20 05:59:58 +00:00
jperkin
e17509e3e6 Ensure the correct compiler ABI flag is used when this package does
its own builds for dependencies.  Fixes issue on SunOS 32-bit when
the native gfortran produces 64-bit by default.

Bump PKGREVISION.
2013-02-21 10:59:38 +00:00
asau
b63c74fdfd "user-destdir" is default these days 2012-09-11 23:04:15 +00:00
drochner
1efeeac96a update to 1.6.2
changes: bugfixes

pkgsrc change: mark Python3 ready
2012-08-15 17:16:37 +00:00
fhajny
ee1fad7577 The previous commit actually doesn't affect the build of math/py-numpy,
but changes the py-numpy binary package in order for math/py-scipy to build
successfully (at least on SmartOS). Bump PKGREVISION.
2012-08-14 21:04:21 +00:00
fhajny
cdbffd2a34 Fix build on SmartOS by making sure linker always gets -shared 2012-08-14 20:19:20 +00:00
jperkin
54d3d4d98d Pass through the correct ABI flags as this package calls compilers directly.
Fixes build on Solaris where ABI=32 with 64-bit compilers.
2012-08-09 12:42:16 +00:00
hans
99e98e7c66 Always add -shared to LDFLAGS to work around some stupidity. Should fix
pkg/44107, tested on SunOS and NetBSD. More can be found information here:
http://projects.scipy.org/numpy/ticket/1101
2012-04-25 16:36:39 +00:00
drochner
05b3b2ed34 update to 1.6.1
changes: any new features, performance improvements and bug fixes,
Some highlights are:
-Re-introduction of datetime dtype support to deal with dates in arrays.
-A new 16-bit floating point type.
-A new iterator, which improves performance of many functions.
2012-04-17 17:24:41 +00:00
wiz
c595076396 All supported python versions in pkgsrc support eggs, so remove
${PLIST.eggfile} from PLISTs and support code from lang/python.
2012-04-08 20:21:41 +00:00
obache
e07b50db54 distutils pkg, register egg-info.
Bump PKGREVISION.
2012-02-09 13:09:09 +00:00
joerg
3dc2bdb235 Make sure that builds with g95 create position independent code.
Bump revision.
2011-12-20 16:38:30 +00:00
minskim
1b46d80b6d Let py-numpy not run an invalid shell command.
This fixes PR 44130.
2011-11-22 20:56:13 +00:00
roy
f878c3d0ab Just replace what we need. 2011-04-19 15:32:28 +00:00
roy
97001228d4 Use python correctly. 2011-04-19 13:14:28 +00:00
asau
dfc6889736 "fortran" -> "fortran77" except where it is clear that it isn't F77.
"fortran" is alias of "fortran77" for now, but it will change later.
2010-07-30 10:36:22 +00:00
tron
573b600c45 Don't hardcode Python version number. This fixes the build with Python 2.6. 2010-04-25 00:02:20 +00:00
gls
81ac2a6459 Update to 1.4.1.
From Wen Heping in PR pkg/43204.

This minor release removes datetime support, which fixes the binary
incompatibility issues with SciPy and other packages. It also includes several
bug fixes. No new features are introduced.

Bugs fixed
----------
- #1336: Fix for 1299 exposes Bus error on Sparc
- #1379: CPU ID not set correctly on PARISC
- #1388: frombuffer calls PyErr_Format without throwing an error
- log1p
- kaiser for M=1
- paver execution on Windows 7 for Python 2.6
- several fixes to Chebyshev and Polynomial
2010-04-24 17:13:55 +00:00
heinz
ccd5df3b35 Added LICENSE information. 2010-01-30 16:27:59 +00:00
drochner
27e66b6603 update to 1.4.0
changes:
- Faster import time
- Extended array wrapping mechanism for ufuncs
- New Neighborhood iterator (C-level only)
- C99-like complex functions in npymath, and a lot of portability
  fixes for basic floating point math functions
2010-01-27 20:48:20 +00:00
markd
dc8daeb15a Fix so works again with non-default values of PKGSRC_FORTRAN. 2009-12-04 21:23:22 +00:00
asau
6754aacfb8 Follow f2c/libf2c split: bump revision of all packages
that list Fortran in used languages.
2009-12-03 13:06:51 +00:00
ahoka
7834070ea6 Avoid picking up other fortran compilers when they are installed.
Fixes build when lang/g95 is present on the system.
2009-10-24 14:22:49 +00:00
wiz
07706e496a Add a few REPLACE_PYTHON. Bump PKGREVISION. 2009-09-10 19:03:26 +00:00
markd
e9a81e3831 Update numpy to 1.3.0
This minor includes numerous bug fixes, official python 2.6 support, and
several new features such as generalized ufuncs.
2009-07-25 12:08:26 +00:00
joerg
94b3ea344d Allow Python 2.6 to fix dependencies of a number of other packages.
Seems to build fine.
2009-06-26 19:47:14 +00:00
joerg
62d1ba2bac Remove @dirrm entries from PLISTs 2009-06-14 18:03:28 +00:00
joerg
2d1ba244e9 Simply and speed up buildlink3.mk files and processing.
This changes the buildlink3.mk files to use an include guard for the
recursive include. The use of BUILDLINK_DEPTH, BUILDLINK_DEPENDS,
BUILDLINK_PACKAGES and BUILDLINK_ORDER is handled by a single new
variable BUILDLINK_TREE. Each buildlink3.mk file adds a pair of
enter/exit marker, which can be used to reconstruct the tree and
to determine first level includes. Avoiding := for large variables
(BUILDLINK_ORDER) speeds up parse time as += has linear complexity.
The include guard reduces system time by avoiding reading files over and
over again. For complex packages this reduces both %user and %sys time to
half of the former time.
2009-03-20 19:23:50 +00:00
joerg
0d0e90a320 Include pyversion.mk include the protected part of the buildlink3.mk
files, not over and over again.
2009-03-20 17:30:09 +00:00
markd
b4f920b599 user-destdir support. 2008-12-19 22:09:55 +00:00
markd
c59b321927 Initial import of py-numpy 1.1.0
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.

Pkgsrc issue: if the package build happens to find a fortran it prefers
over the one pkgsrc is using it will try to use it and the wrong thing
will happen.
2008-12-19 22:04:36 +00:00