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Date:      Mon, 9 Nov 2020 17:34:41 +0000 (UTC)
From:      Sunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org>
To:        ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org
Subject:   svn commit: r554736 - in head/math: . py-iohexperimenter
Message-ID:  <202011091734.0A9HYfZc013699@repo.freebsd.org>

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Author: sunpoet
Date: Mon Nov  9 17:34:41 2020
New Revision: 554736
URL: https://svnweb.freebsd.org/changeset/ports/554736

Log:
  Add py-iohexperimenter 0.2.8
  
  IOHexperimenter is the benchmarking platform for Iterative Optimization
  Heuristics (IOHs).
  
  IOHexperimenter provides:
  - A framework for straightforward benchmarking of any iterative optimization
    heuristic
  - A suite consisting of 23 pre-made Pseudo-Boolean benchmarking function, with
    easily accessible methods for adding custom functions and suites
  - Logging methods to effortlesly store benchmarking data in a format compatible
    with IOHanalyzer, with future support for additional data logging options
  - (Soon to come:) A framework which significantly simplifies algorithm design
  
  WWW: https://github.com/IOHprofiler/IOHexperimenter

Added:
  head/math/py-iohexperimenter/
  head/math/py-iohexperimenter/Makefile   (contents, props changed)
  head/math/py-iohexperimenter/distinfo   (contents, props changed)
  head/math/py-iohexperimenter/pkg-descr   (contents, props changed)
Modified:
  head/math/Makefile

Modified: head/math/Makefile
==============================================================================
--- head/math/Makefile	Mon Nov  9 17:32:48 2020	(r554735)
+++ head/math/Makefile	Mon Nov  9 17:34:41 2020	(r554736)
@@ -768,6 +768,7 @@
     SUBDIR += py-hdbscan
     SUBDIR += py-hdmedians
     SUBDIR += py-intspan
+    SUBDIR += py-iohexperimenter
     SUBDIR += py-jax
     SUBDIR += py-keras
     SUBDIR += py-keras-applications

Added: head/math/py-iohexperimenter/Makefile
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/py-iohexperimenter/Makefile	Mon Nov  9 17:34:41 2020	(r554736)
@@ -0,0 +1,27 @@
+# Created by: Po-Chuan Hsieh <sunpoet@FreeBSD.org>
+# $FreeBSD$
+
+PORTNAME=	iohexperimenter
+PORTVERSION=	0.2.8
+DISTVERSIONSUFFIX=	r
+CATEGORIES=	math python
+MASTER_SITES=	CHEESESHOP
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+DISTNAME=	IOHexperimenter-${DISTVERSIONFULL}
+
+MAINTAINER=	sunpoet@FreeBSD.org
+COMMENT=	Experimenter for Iterative Optimization Heuristic
+
+LICENSE=	GPLv3
+LICENSE_FILE=	${WRKSRC}/LICENSE.txt
+
+RUN_DEPENDS=	${PYNUMPY}
+
+USES=		compiler:c++14-lang python:3.6+
+USE_PYTHON=	autoplist concurrent distutils
+
+USE_CXXSTD=	c++14
+
+WRKSRC=		${WRKDIR}/IOHexperimenter-${PORTVERSION}
+
+.include <bsd.port.mk>

Added: head/math/py-iohexperimenter/distinfo
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/py-iohexperimenter/distinfo	Mon Nov  9 17:34:41 2020	(r554736)
@@ -0,0 +1,3 @@
+TIMESTAMP = 1604676583
+SHA256 (IOHexperimenter-0.2.8r.tar.gz) = 837ba5e8844de28344bfde0810a19e6fa9e91ba9eddc11f19ac5be796f4db0a2
+SIZE (IOHexperimenter-0.2.8r.tar.gz) = 244469

Added: head/math/py-iohexperimenter/pkg-descr
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/py-iohexperimenter/pkg-descr	Mon Nov  9 17:34:41 2020	(r554736)
@@ -0,0 +1,13 @@
+IOHexperimenter is the benchmarking platform for Iterative Optimization
+Heuristics (IOHs).
+
+IOHexperimenter provides:
+- A framework for straightforward benchmarking of any iterative optimization
+  heuristic
+- A suite consisting of 23 pre-made Pseudo-Boolean benchmarking function, with
+  easily accessible methods for adding custom functions and suites
+- Logging methods to effortlesly store benchmarking data in a format compatible
+  with IOHanalyzer, with future support for additional data logging options
+- (Soon to come:) A framework which significantly simplifies algorithm design
+
+WWW: https://github.com/IOHprofiler/IOHexperimenter



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