Commit d6427c10 authored by Rene Ladan's avatar Rene Ladan
Browse files

math/py-luminol: Remove expired port

2026-07-31 math/py-luminol: Upstream last activity was in 2016, and the project has been moved to the LinkedInAttic GitHub account.
parent 4e06575a
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@@ -5525,3 +5525,4 @@ games/freedoko||2026-07-31|Has expired: plist issues and error messages during i
net-mgmt/py-pynxos|net-mgmt/py-napalm|2026-07-31|Has expired: Upstream inactive since +7 years, was used by py-napalm for a while, until it was replaced by py-nxapi-plumbing. Please use net-mgmt/py-napalm instead
security/proxycheck||2026-07-31|Has expired: dnsbl.org has been shut down
www/mediawiki144||2026-07-31|Has expired: Upstream EOL
math/py-luminol||2026-07-31|Has expired: Upstream last activity was in 2016, and the project has been moved to the LinkedInAttic GitHub account
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@@ -1053,7 +1053,6 @@
    SUBDIR += py-lmfit
    SUBDIR += py-logical-unification
    SUBDIR += py-lrcalc
    SUBDIR += py-luminol
    SUBDIR += py-mapbox-earcut
    SUBDIR += py-math-verify
    SUBDIR += py-mathics

math/py-luminol/Makefile

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PORTNAME=	luminol
DISTVERSION=	0.4
PORTREVISION=	5
CATEGORIES=	math python
MASTER_SITES=	PYPI
PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}

MAINTAINER=	ports@FreeBSD.org
COMMENT=	Lightweight python library for time series data analysis
WWW=		https://github.com/LinkedInAttic/naarad

LICENSE=	APACHE20

DEPRECATED=		Upstream last activity was in 2016, and the project has been moved to the LinkedInAttic GitHub account.
EXPIRATION_DATE=	2026-07-31

RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}future>0:devel/py-future@${PY_FLAVOR} \
		${PYTHON_PKGNAMEPREFIX}numpy>=1.16:math/py-numpy@${PY_FLAVOR} \
		${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy@${PY_FLAVOR}

USES=		python
USE_PYTHON=	autoplist distutils

NO_ARCH=	yes

.include <bsd.port.mk>

math/py-luminol/distinfo

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TIMESTAMP = 1659821368
SHA256 (luminol-0.4.tar.gz) = ed0db2936e9d376fee475b77eed6b952decd08bd6b0ca6d8ee8c5b9d8d405b29
SIZE (luminol-0.4.tar.gz) = 17365

math/py-luminol/pkg-descr

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Luminol is a light weight python library for time series data analysis.
The two major functionalities it supports are anomaly detection and
correlation. It can be used to investigate possible causes of anomaly.