Commit 2cdb9dc6 authored by Rene Ladan's avatar Rene Ladan
Browse files

devel/py-schematics-patched: Remove expired port 

2026-09-24 devel/py-schematics-patched: Upstream inactive since +8 years.  Please use devel/py-cattrs instead
parent 504ee229

MOVED

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@@ -5625,3 +5625,4 @@ net/openldap25-server|databases/openldap25-server|2026-09-24|Move all OpenLDAP p 
net/openldap26-client|databases/openldap26-client|2026-09-24|Move all OpenLDAP ports to databases/

net/openldap26-server|databases/openldap26-server|2026-09-24|Move all OpenLDAP ports to databases/

graphics/hiptext||2026-09-25|Remove abandonware

devel/py-schematics-patched|devel/py-cattrs|2026-09-27|Has expired: Upstream inactive since +8 years.  Please use devel/py-cattrs instead

devel/Makefile

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@@ -6194,7 +6194,6 @@ 
    SUBDIR += py-scheduler

    SUBDIR += py-schema

    SUBDIR += py-schema-salad

    SUBDIR += py-schematics-patched

    SUBDIR += py-scholarly

    SUBDIR += py-scikit-base

    SUBDIR += py-scikit-build

devel/py-schematics-patched/Makefile

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PORTNAME=	schematics-patched

DISTVERSIONPREFIX=	v

DISTVERSION=	1.1.2-patch

PORTREVISION=	2

CATEGORIES=	devel python

PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}



MAINTAINER=	kai@FreeBSD.org

COMMENT=	Patched version of schematics that can pickle with multiprocessing

WWW=		https://github.com/pombredanne/schematics



LICENSE=	BSD3CLAUSE

LICENSE_FILE=	${WRKSRC}/LICENSE



DEPRECATED=	Upstream inactive since +8 years.  Please use devel/py-cattrs instead

EXPIRATION_DATE=2026-09-24



RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}six>=1.7.3:devel/py-six@${PY_FLAVOR}



USES=		python

USE_PYTHON=	distutils autoplist

USE_GITHUB=	yes

GH_ACCOUNT=	pombredanne

GH_PROJECT=	schematics



NO_ARCH=	yes



.include <bsd.port.mk>

devel/py-schematics-patched/distinfo

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TIMESTAMP = 1530566305

SHA256 (pombredanne-schematics-v1.1.2-patch_GH0.tar.gz) = 59bf5d4742b8d43f2853b6a45649ae2bb37a9fbc994ead4bca811176ee2ad4c5

SIZE (pombredanne-schematics-v1.1.2-patch_GH0.tar.gz) = 71544

devel/py-schematics-patched/pkg-descr

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Schematics is a Python library to combine types into structures, validate them,

and transform the shapes of your data based on simple descriptions.



The internals are similar to ORM type systems, but there is no database layer in

Schematics. Instead, we believe that building a database layer is made

significantly easier when Schematics handles everything but writing the query.



Further, it can be used for a range of tasks where having a database involved

may not make sense.



Some common use cases:



- Design and document specific data structures

- Convert structures to and from different formats such as JSON or MsgPack

- Validate API inputs

- Remove fields based on access rights of some data's recipient

- Define message formats for communications protocols, like an RPC

- Custom persistence layers



Note: This is the patched version from the 1.1.x branch that can pickle with

      multiprocessing using the old API.