diff options
Diffstat (limited to 'devel/py-cgen')
-rw-r--r-- | devel/py-cgen/Makefile | 27 | ||||
-rw-r--r-- | devel/py-cgen/distinfo | 3 | ||||
-rw-r--r-- | devel/py-cgen/pkg-descr | 10 |
3 files changed, 40 insertions, 0 deletions
diff --git a/devel/py-cgen/Makefile b/devel/py-cgen/Makefile new file mode 100644 index 000000000000..9c194c2749a5 --- /dev/null +++ b/devel/py-cgen/Makefile @@ -0,0 +1,27 @@ +PORTNAME= cgen +DISTVERSION= 2025.1 +CATEGORIES= devel python +MASTER_SITES= PYPI +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= yuri@FreeBSD.org +COMMENT= C/C++ source generation from an AST +WWW= https://github.com/inducer/cgen + +LICENSE= MIT +LICENSE_FILE= ${WRKSRC}/LICENSE + +BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}hatchling>0:devel/py-hatchling@${PY_FLAVOR} +RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=1.6,1:math/py-numpy@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pytools>=2022.1.14:devel/py-pytools@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}typing-extensions>=4.5:devel/py-typing-extensions@${PY_FLAVOR} +TEST_DEPENDS= ${PYTHON_PKGNAMEPREFIX}ruff>0:devel/py-ruff@${PY_FLAVOR} + +USES= python +USE_PYTHON= pep517 autoplist concurrent pytest + +NO_ARCH= yes + +# tests as of 2025.1: 1 passed in 2.02s + +.include <bsd.port.mk> diff --git a/devel/py-cgen/distinfo b/devel/py-cgen/distinfo new file mode 100644 index 000000000000..1150810e9a33 --- /dev/null +++ b/devel/py-cgen/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1734976997 +SHA256 (cgen-2025.1.tar.gz) = 79f01e010d49c13e58b4ca8f2d4996a6b7178968f5f2d906262733480ae7a2d4 +SIZE (cgen-2025.1.tar.gz) = 19236 diff --git a/devel/py-cgen/pkg-descr b/devel/py-cgen/pkg-descr new file mode 100644 index 000000000000..ea1150c484a5 --- /dev/null +++ b/devel/py-cgen/pkg-descr @@ -0,0 +1,10 @@ +cgen offers a simple abstract syntax tree for C and related languages +(C++/CUDA/OpenCL) to allow structured code generation from Python. + +cgen can be used to generate C code programmatically, which is useful for: +- Code generators +- Domain-specific language compilers +- High-performance computing applications +- GPU kernel generation (CUDA/OpenCL) + +To represent mathematical expressions, cgen can be used with pymbolic. |