git: cc7cd6a77051 - main - math/py-rvlib: Add py-rvlib 0.0.5

[Po-Chuan Hsieh]

The branch main has been updated by sunpoet:

URL: https://cgit.FreeBSD.org/ports/commit/?id=cc7cd6a77051deb9e9b11bcab369a264d8529250

commit cc7cd6a77051deb9e9b11bcab369a264d8529250
Author:     Po-Chuan Hsieh <sunpoet at FreeBSD.org>
AuthorDate: 2021-09-21 03:06:10 +0000
Commit:     Po-Chuan Hsieh <sunpoet at FreeBSD.org>
CommitDate: 2021-09-21 03:35:08 +0000

    math/py-rvlib: Add py-rvlib 0.0.5
    
    Anyone who has used Distributions.jl will tell you how nice the interface is
    relative to the "exotic" (the most polite word we can think of) interface to
    distributions exposed by scipy.stats. Distributions.jl also brings better
    performace, particularly when its methods are used inside loops.
    
    For these reason we've put together rvlib, which mimics the interface of
    Distributions.jl, while at the same time attaining similar performance by
    exploiting numba.
    
    This package was inspired by Joshua Adelman's (@synapticarbors) blog post
    describing how to call the Rmath C library from numba using CFFI, and utilizes
    his build script to set up the CFFI interface.
    
    WWW: https://github.com/QuantEcon/rvlib
---
 math/Makefile           |  1 +
 math/py-rvlib/Makefile  | 28 ++++++++++++++++++++++++++++
 math/py-rvlib/distinfo  |  3 +++
 math/py-rvlib/pkg-descr | 14 ++++++++++++++
 4 files changed, 46 insertions(+)

diff --git a/math/Makefile b/math/Makefile
index 5090666a3da5..dddeef58a892 100644
--- a/math/Makefile
+++ b/math/Makefile
@@ -904,6 +904,7 @@
     SUBDIR += py-random2
     SUBDIR += py-roman
     SUBDIR += py-rpy2
+    SUBDIR += py-rvlib
     SUBDIR += py-scikit-umfpack
     SUBDIR += py-scs
     SUBDIR += py-seaborn
diff --git a/math/py-rvlib/Makefile b/math/py-rvlib/Makefile
new file mode 100644
index 000000000000..46715273250a
--- /dev/null
+++ b/math/py-rvlib/Makefile
@@ -0,0 +1,28 @@
+# Created by: Po-Chuan Hsieh <sunpoet at FreeBSD.org>
+
+PORTNAME=	rvlib
+PORTVERSION=	0.0.5
+CATEGORIES=	math python
+MASTER_SITES=	CHEESESHOP
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	sunpoet at FreeBSD.org
+COMMENT=	Probability distributions mimicking Distrbutions.jl
+
+LICENSE=	BSD3CLAUSE
+LICENSE_FILE=	${WRKSRC}/LICENSE.txt
+
+BUILD_DEPENDS=	${PYTHON_PKGNAMEPREFIX}cffi>=1.0.0:devel/py-cffi@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}yaml>=0:devel/py-yaml@${PY_FLAVOR}
+RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}cffi>=1.0.0:devel/py-cffi@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}numba>=0.49:devel/py-numba@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}numpy>=0,1:math/py-numpy@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}yaml>=0:devel/py-yaml@${PY_FLAVOR}
+
+USES=		python:3.6+
+USE_PYTHON=	autoplist concurrent distutils
+
+post-install:
+	${FIND} ${STAGEDIR}${PYTHON_SITELIBDIR} -name '*.so' -exec ${STRIP_CMD} {} +
+
+.include <bsd.port.mk>
diff --git a/math/py-rvlib/distinfo b/math/py-rvlib/distinfo
new file mode 100644
index 000000000000..ae94c1e594ad
--- /dev/null
+++ b/math/py-rvlib/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1632036828
+SHA256 (rvlib-0.0.5.tar.gz) = d79b45bedff32653ed4662da1a273d3b3d70ea960ad4fd8d74509888d7f7f45d
+SIZE (rvlib-0.0.5.tar.gz) = 183776
diff --git a/math/py-rvlib/pkg-descr b/math/py-rvlib/pkg-descr
new file mode 100644
index 000000000000..927d84eb5968
--- /dev/null
+++ b/math/py-rvlib/pkg-descr
@@ -0,0 +1,14 @@
+Anyone who has used Distributions.jl will tell you how nice the interface is
+relative to the "exotic" (the most polite word we can think of) interface to
+distributions exposed by scipy.stats. Distributions.jl also brings better
+performace, particularly when its methods are used inside loops.
+
+For these reason we've put together rvlib, which mimics the interface of
+Distributions.jl, while at the same time attaining similar performance by
+exploiting numba.
+
+This package was inspired by Joshua Adelman's (@synapticarbors) blog post
+describing how to call the Rmath C library from numba using CFFI, and utilizes
+his build script to set up the CFFI interface.
+
+WWW: https://github.com/QuantEcon/rvlib