Commit 8f34d2db authored by Rene Ladan's avatar Rene Ladan
Browse files

science/py-mdp: Remove expired port 

2026-08-31 science/py-mdp: No upstream activity since 2020
parent de996d20

MOVED

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@@ -5576,3 +5576,4 @@ textproc/ruby-rd-mode.el||2026-08-31|Has expired: Depends on expired textproc/ru 
textproc/ruby-rdtool|textproc/rubygem-rdtool|2026-08-31|Has expired: Broken for more than 2 years. Use textproc/rubygem-rdtool instead

audio/denemo||2026-08-31|Has expired: Outdated, current release is a decade old

textproc/logseq||2026-08-31|Has expired: Depends on expired devel/electron38

science/py-mdp||2026-08-31|Has expired: No upstream activity since 2020

science/Makefile

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@@ -381,7 +381,6 @@ 
    SUBDIR += py-libpysal

    SUBDIR += py-libwignernj

    SUBDIR += py-lifelines

    SUBDIR += py-mdp

    SUBDIR += py-mercantile

    SUBDIR += py-meshio

    SUBDIR += py-mmcif

science/py-mdp/Makefile

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PORTNAME=	mdp

DISTVERSION=	3.6

CATEGORIES=	science python

MASTER_SITES=	PYPI

PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}

DISTNAME=	${PORTNAME:tu}-${DISTVERSION}



MAINTAINER=	bofh@FreeBSD.org

COMMENT=	Modular toolkit for Data Processing

WWW=		https://mdp-toolkit.sourceforge.net/



LICENSE=	BSD3CLAUSE



DEPRECATED=	No upstream activity since 2020

EXPIRATION_DATE=	2026-08-31



RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}numpy>=1.16:math/py-numpy@${PY_FLAVOR}



USES=		python

USE_PYTHON=	autoplist distutils



OPTIONS_DEFINE=	LIBSVM SCIPY



LIBSVM_DESC=	Provide the LibSVMClassifier node

SCIPY_DESC=	Instal SciPy versions of eigensolver, FFT and convolution



LIBSVM_RUN_DEPENDS=	libsvm>2.91:science/libsvm \

			libsvm-python>2.91:science/libsvm-python

SCIPY_RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}scipy>=0.5.2:science/py-scipy@${PY_FLAVOR}



.include <bsd.port.mk>

science/py-mdp/distinfo

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TIMESTAMP = 1783275387

SHA256 (MDP-3.6.tar.gz) = ac52a652ccbaed1857ff1209862f03bf9b06d093b12606fb410787da3aa65a0e

SIZE (MDP-3.6.tar.gz) = 411998

science/py-mdp/pkg-descr

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Modular toolkit for Data Processing (MDP) is a Python data processing

framework. Implemented algorithms include: Principal Component

Analysis (PCA), Independent Component Analysis (ICA), Slow Feature

Analysis (SFA), Independent Slow Feature Analysis (ISFA), Growing Neural

Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA), Gaussian

Classifiers, and Restricted Boltzmann Machines.