git: a7b9d7c99998 - main - science/py-pyscf: Correct pkg-descr and WWW

From: Yuri Victorovich <yuri_at_FreeBSD.org>
Date: Sat, 29 Oct 2022 07:08:37 UTC
The branch main has been updated by yuri:

URL: https://cgit.FreeBSD.org/ports/commit/?id=a7b9d7c999984c4d96ed750c12421a5ca7f9833e

commit a7b9d7c999984c4d96ed750c12421a5ca7f9833e
Author:     Yuri Victorovich <yuri@FreeBSD.org>
AuthorDate: 2022-10-29 06:45:30 +0000
Commit:     Yuri Victorovich <yuri@FreeBSD.org>
CommitDate: 2022-10-29 07:08:34 +0000

    science/py-pyscf: Correct pkg-descr and WWW
    
    Reported by:    thierry@
---
 science/py-pyscf/Makefile  |  2 +-
 science/py-pyscf/pkg-descr | 15 +++++++++++----
 2 files changed, 12 insertions(+), 5 deletions(-)

diff --git a/science/py-pyscf/Makefile b/science/py-pyscf/Makefile
index 10025fc36f73..9868b9f9bd1a 100644
--- a/science/py-pyscf/Makefile
+++ b/science/py-pyscf/Makefile
@@ -7,7 +7,7 @@ PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
 
 MAINTAINER=	yuri@FreeBSD.org
 COMMENT=	Python module for quantum chemistry
-WWW=		https://pypi.org/project/pyscf/
+WWW=		https://pyscf.org/
 
 LICENSE=	BSD2CLAUSE
 LICENSE_FILE=	${WRKSRC}/LICENSE
diff --git a/science/py-pyscf/pkg-descr b/science/py-pyscf/pkg-descr
index 8627a972ce6e..10fe3ee39fd8 100644
--- a/science/py-pyscf/pkg-descr
+++ b/science/py-pyscf/pkg-descr
@@ -1,4 +1,11 @@
-PyMOL is a Python-enhanced molecular graphics tool. It excels at
-3D visualization of proteins, small molecules, density, surfaces,
-and trajectories. It also includes molecular editing, ray tracing,
-and movies. Open Source PyMOL is free to everyone!
+The Python-based Simulations of Chemistry Framework (PySCF) is an open-source
+collection of electronic structure modules powered by Python. The package
+provides a simple, lightweight, and efficient platform for quantum chemistry
+calculations and methodology development. PySCF can be used to simulate the
+properties of molecules, crystals, and custom Hamiltonians using mean-field
+and post-mean-field methods. To ensure ease of extensibility, almost all of
+the features in PySCF are implemented in Python, while computationally critical
+parts are implemented and optimized in C. Using this combined Python/C
+implementation, the package is as efficient as the best existing C or Fortran
+based quantum chemistry programs. In addition to its core libraries, PySCF
+supports a rich ecosystem of extension modules.