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Keyword substitution: kv
Default branch: MAIN

distutils pkg, register egg-info.

Bump PKGREVISION.

Make sure that builds with g95 create position independent code.
Bump revision.

Just replace what we need.

Use python correctly.

"fortran" -> "fortran77" except where it is clear that it isn't F77.
"fortran" is alias of "fortran77" for now, but it will change later.

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

Added LICENSE information.

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

Fix so works again with non-default values of PKGSRC_FORTRAN.

Follow f2c/libf2c split: bump revision of all packages
that list Fortran in used languages.

Avoid picking up other fortran compilers when they are installed.
Fixes build when lang/g95 is present on the system.

Add a few REPLACE_PYTHON. Bump PKGREVISION.

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.

Allow Python 2.6 to fix dependencies of a number of other packages.
Seems to build fine.

user-destdir support.

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.

Initial revision