Commit c36f7758 authored by Rene Ladan's avatar Rene Ladan
Browse files

misc/py-orange3-educational: Remove expired port 

2025-06-21 misc/py-orange3-educational: Depends on expiring misc/orange3
parent fe636280

MOVED

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@@ -4530,3 +4530,4 @@ biology/py-orange3-bioinformatics||2025-06-23|Has expired: Depends on expiring m 
textproc/py-orange3-text||2025-06-23|Has expired: Depends on expiring misc/orange3

misc/py-orange3-datafusion||2025-06-23|Has expired: Depends on expiring misc/orange3

misc/py-orange3-timeseries||2025-06-23|Has expired: Depends on expiring misc/orange3

misc/py-orange3-educational||2025-06-23|Has expired: Depends on expiring misc/orange3

misc/Makefile

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@@ -486,7 +486,6 @@ 
    SUBDIR += py-openvdb

    SUBDIR += py-optuna

    SUBDIR += py-orange3-associate

    SUBDIR += py-orange3-educational

    SUBDIR += py-orange3-network

    SUBDIR += py-oterm

    SUBDIR += py-palettable

misc/py-orange3-educational/Makefile

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PORTNAME=	orange3-educational

DISTVERSION=	0.4.0

PORTREVISION=	3

CATEGORIES=	misc education python

PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}



MAINTAINER=	yuri@FreeBSD.org

COMMENT=	Orange add-on: widgets for machine learning and data mining

WWW=		https://github.com/biolab/orange3-educational



LICENSE=	CC-BY-3.0

LICENSE_FILE=	${WRKSRC}/LICENSE



DEPRECATED=	Depends on expiring misc/orange3

EXPIRATION_DATE=2025-06-21



RUN_DEPENDS=	orange3>0:misc/orange3 \

		${PYNUMPY} \

		${PYTHON_PKGNAMEPREFIX}beautifulsoup>0:www/py-beautifulsoup@${PY_FLAVOR}



USES=		python

USE_PYTHON=	distutils autoplist



USE_GITHUB=	yes

GH_ACCOUNT=	biolab



NO_ARCH=	yes



.include <bsd.port.mk>

misc/py-orange3-educational/distinfo

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TIMESTAMP = 1618867149

SHA256 (biolab-orange3-educational-0.4.0_GH0.tar.gz) = e8f452214a4fc9ad15ccb7c8328850cebb6a38aa483cb4763f1544c41ccd80d8

SIZE (biolab-orange3-educational-0.4.0_GH0.tar.gz) = 3364301

misc/py-orange3-educational/pkg-descr

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Widgets in the educational add-on demonstrate several key data mining and

machine learning procedures. The widgets are useful for beginners to

understand the inner working of key algorithms in the data mining and for

teachers to be able to visually explain various methods in a classroom.