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math/py-symcxx: Deprecate because the upstream repository was experimental and is now archived

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PR:		261703
Reported by:	thierry@
This commit is contained in:
Yuri Victorovich 2022-03-28 10:51:50 -07:00
parent f7b0e813f0
commit b6ac38cf27
5 changed files with 1 additions and 35 deletions
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1
MOVED
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@ -16970,3 +16970,4 @@ devel/py-decorator4||2022-03-22|Has expired: Legacy version, use devel/py-decora
devel/p5-Log-Any-Adapter-Callback|devel/p5-Log-Any|2022-03-22|Has expired: Use devel/p5-Log-Any (Log::Any::Adapter::Capture) instead
devel/py-asyncio||2022-03-25|Remove obsoleted port. The asyncio package has been included in the standard library since Python 3.4
math/py-mutatormath|math/py-MutatorMath|2022-03-25|Remove duplicate port
math/py-symcxx||2022-03-28|Deprecated because the upstream repository was experimental and is now archived

1
math/Makefile
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@ -947,7 +947,6 @@
SUBDIR += py-statsmodels
SUBDIR += py-svgmath
SUBDIR += py-sym
SUBDIR += py-symcxx
SUBDIR += py-sympy
SUBDIR += py-theano
SUBDIR += py-topologic

24
math/py-symcxx/Makefile
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@ -1,24 +0,0 @@
PORTNAME= symcxx
DISTVERSION= 0.1.10
CATEGORIES= math python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= yuri@FreeBSD.org
COMMENT= Minimal symbolic manipulation python package written in C++
LICENSE= BSD2CLAUSE
LICENSE_FILE= ${WRKSRC}/LICENSE
RUN_DEPENDS= ${PYNUMPY}
USES= compiler:c++11-lang fortran python:3.6+ # fortran because otherwise "import numpy" fails with wrong libgcc_s.so message
USE_PYTHON= distutils autoplist
post-patch:
@truncate -s 0 ${WRKSRC}/README.rst # workaround for https://github.com/bjodah/symcxx/issues/19
post-install:
@${STRIP_CMD} ${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}/symcxx/_symcxx*.so
.include <bsd.port.mk>

3
math/py-symcxx/distinfo
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@ -1,3 +0,0 @@
TIMESTAMP = 1583905137
SHA256 (symcxx-0.1.10.tar.gz) = f200be30b278fb34998b2723e62b4142037299c6ede48f31a5c8183df055586a
SIZE (symcxx-0.1.10.tar.gz) = 220459

7
math/py-symcxx/pkg-descr
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@ -1,7 +0,0 @@
SymCXX is an experimental Python package (with its core implemented in C++)
for symbolic manipulation with limited scope (as in minimal). It tries to stay
compatible with the API of SymPy. Its main goal is to explore designs related
to automatic differentiation and numerical evaluation similar to SymEngine's
Lambdify functionality.
WWW: https://github.com/bjodah/symcxx