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py-numpy: update to 1.24.2



Module Name:	pkgsrc-wip
Committed By:	Thomas Klausner <wiz%gatalith.at@localhost>
Pushed By:	wiz
Date:		Mon Mar 13 17:47:10 2023 +0100
Changeset:	4de1105f445a5dc3e4ee400d220fb2536255cb6e

Modified Files:
	py-numpy/Makefile
	py-numpy/distinfo

Log Message:
py-numpy: update to 1.24.2

Still not working on NetBSD.

To see a diff of this commit:
https://wip.pkgsrc.org/cgi-bin/gitweb.cgi?p=pkgsrc-wip.git;a=commitdiff;h=4de1105f445a5dc3e4ee400d220fb2536255cb6e

Please note that diffs are not public domain; they are subject to the
copyright notices on the relevant files.

diffstat:
 py-numpy/Makefile | 10 ++++------
 py-numpy/distinfo |  6 +++---
 2 files changed, 7 insertions(+), 9 deletions(-)

diffs:
diff --git a/py-numpy/Makefile b/py-numpy/Makefile
index 4bf8be251d..2141e2535a 100644
--- a/py-numpy/Makefile
+++ b/py-numpy/Makefile
@@ -1,6 +1,6 @@
 # $NetBSD: Makefile,v 1.101 2022/11/20 19:03:47 adam Exp $
 
-DISTNAME=	numpy-1.24.1
+DISTNAME=	numpy-1.24.2
 PKGNAME=	${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=	math python
 MASTER_SITES=	${MASTER_SITE_PYPI:=n/numpy/}
@@ -46,12 +46,10 @@ BLAS_ACCEPTED=		${_BLAS_TYPES} accelerate.framework
 BLAS_C_INTERFACE=	yes
 CPPFLAGS+=		${BLAS_INCLUDES}
 
-.include "../../mk/bsd.prefs.mk"
+# doesn't work because math.h contains both log2 and log2l
+# CPPFLAGS.NetBSD+=	-Dlog2l=log2
 
-# numpy fails using the gold linker with:
-# fatal error: --sysroot=: must take a non-empty argument
-# Work around it on DragonFly by specifying the classic gnu linker
-MAKE_ENV.DragonFly+=	LDVER=ld.bfd
+.include "../../mk/bsd.prefs.mk"
 
 # Remove invalid __STDC_VERSION__ setting
 BUILDLINK_TRANSFORM.SunOS+=	rm:-D__STDC_VERSION__=0
diff --git a/py-numpy/distinfo b/py-numpy/distinfo
index 76f0c35a2a..36e8ce286e 100644
--- a/py-numpy/distinfo
+++ b/py-numpy/distinfo
@@ -1,8 +1,8 @@
 $NetBSD: distinfo,v 1.79 2022/11/20 19:03:47 adam Exp $
 
-BLAKE2s (numpy-1.24.1.tar.gz) = a1561dc83a67ea4755c96c321efd593c40697e94d59b74e9795efa6f0230a4fc
-SHA512 (numpy-1.24.1.tar.gz) = 34cafe2b0776f47887e3fa01beb9f4d427deec650d0b1a2658674a9c304e6429fdbea10945ba515431ca3fca5e70c56344220b9f9055de6659666b2df272d0fb
-Size (numpy-1.24.1.tar.gz) = 10903184 bytes
+BLAKE2s (numpy-1.24.2.tar.gz) = 75eda81fa0685698a03e2395b8ec0f47b266f5dbabcfd2aed837df0b3cc1bada
+SHA512 (numpy-1.24.2.tar.gz) = 145fd7fb3919a185f75076d51b92c54a7fb1b776b637752ca15fdee15b239d6a517ef1bb8cded7c92e059cf6cda0146c24943c042d19b791e81125bc0ad4b820
+Size (numpy-1.24.2.tar.gz) = 10906862 bytes
 SHA1 (patch-numpy_core_include_numpy_npy__common.h) = 354e336b98f634b6298d0b1d0e85ef1a9d240bff
 SHA1 (patch-numpy_core_setup.py) = 01f90b7eb700cfa51edded31498c2de4c3850848
 SHA1 (patch-numpy_core_src_npymath_npy__math__private.h) = e3b8e751fd0b6b6c6794d714aa5f60dfe9d7f421


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