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devel/py-thinc: Remove port

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Leaf libraries not relevant to server environment
This commit is contained in:
Bastard Operator from Hell
2025-04-27 19:14:49 +02:00
parent a92cc45412
commit cacdf9d5c8
7 changed files with 1 additions and 96 deletions
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.portsignore
+1
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@@ -1450,6 +1450,7 @@ devel/py-rq-scheduler
devel/py-setuptools44
devel/py-setuptools58
devel/py-spyder-unittest
devel/py-thinc
devel/py-trimesh
devel/py-weblib
devel/py-xarray-simlab
devel/Makefile
-1
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@@ -5687,7 +5687,6 @@
SUBDIR += py-testtools
SUBDIR += py-textualeffects
SUBDIR += py-thefuzz
SUBDIR += py-thinc
SUBDIR += py-thinc8
SUBDIR += py-threadpoolctl
SUBDIR += py-threema-msgapi
devel/py-thinc/Makefile
-43
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@@ -1,43 +0,0 @@
PORTNAME= thinc
PORTVERSION= 9.1.1
PORTREVISION= 2
CATEGORIES= devel python
MASTER_SITES= PYPI \
https://github.com/explosion/thinc/releases/download/release-v${PORTVERSION}/
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= sunpoet@FreeBSD.org
COMMENT= Refreshing functional take on deep learning
WWW= https://thinc.ai/ \
https://github.com/explosion/thinc
LICENSE= MIT
LICENSE_FILE= ${WRKSRC}/LICENSE
BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}blis>=1.0.0<1.3.0:math/py-blis@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}cymem>=2.0.2<2.1.0:devel/py-cymem@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}murmurhash>=0.28.0<1.1.0:devel/py-murmurhash@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}numpy>=0,1<3.0.0,1:math/py-numpy@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}preshed3>=3.0.2<3.1.0:devel/py-preshed3@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}setuptools>=0:devel/py-setuptools@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR}
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}blis>=1.0.0<1.3.0:math/py-blis@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}catalogue>=2.0.4<2.1.0:devel/py-catalogue@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}confection>=0.0.1<1.0.0:devel/py-confection@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}cymem>=2.0.2<2.1.0:devel/py-cymem@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}murmurhash>=0.28.0<1.1.0:devel/py-murmurhash@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}numpy>=0,1<3.0.0,1:math/py-numpy@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}packaging>=20.0:devel/py-packaging@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}preshed3>=3.0.2<3.1.0:devel/py-preshed3@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pydantic2>=1.7.4<3.0.0:devel/py-pydantic2@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}setuptools>=0:devel/py-setuptools@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}srsly>=2.4.0<3.0.0:devel/py-srsly@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}wasabi>=0.8.1<1.2.0:textproc/py-wasabi@${PY_FLAVOR}
USES= python:3.9+
USE_PYTHON= autoplist concurrent cython pep517
post-install:
${FIND} ${STAGEDIR}${PYTHON_SITELIBDIR} -name '*.so' -exec ${STRIP_CMD} {} +
.include <bsd.port.mk>
devel/py-thinc/distinfo
-3
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@@ -1,3 +0,0 @@
TIMESTAMP = 1726740959
SHA256 (thinc-9.1.1.tar.gz) = 21fae2986d7777a6f050b9046dc9eab11852f1c9a997dcc9032f3ecc22784a4a
SIZE (thinc-9.1.1.tar.gz) = 191850
devel/py-thinc/files/patch-pyproject.toml
-15
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@@ -1,15 +0,0 @@
--- pyproject.toml.orig 2024-09-12 19:54:11 UTC
+++ pyproject.toml
@@ -5,9 +5,9 @@ requires = [
"murmurhash>=1.0.2,<1.1.0",
"cymem>=2.0.2,<2.1.0",
"preshed>=3.0.2,<3.1.0",
- "blis>=1.0.0,<1.1.0",
- "numpy>=2.0.0,<3.0.0; python_version < '3.9'",
- "numpy>=2.0.0,<3.0.0; python_version >= '3.9'",
+ "blis>=1.0.0,<1.3.0",
+ "numpy>=0,<3.0.0; python_version < '3.9'",
+ "numpy>=0,<3.0.0; python_version >= '3.9'",
]
build-backend = "setuptools.build_meta"
devel/py-thinc/files/patch-setup.cfg
-28
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@@ -1,28 +0,0 @@
--- setup.cfg.orig 2024-09-12 19:54:21 UTC
+++ setup.cfg
@@ -29,13 +29,13 @@ setup_requires =
python_requires = >=3.9
setup_requires =
cython>=0.25,<3.0
- numpy>=2.0.0,<3.0.0
+ numpy>=0,<3.0.0
cymem>=2.0.2,<2.1.0
preshed>=3.0.2,<3.1.0
murmurhash>=1.0.2,<1.1.0
- blis>=1.0.0,<1.1.0
+ blis>=1.0.0,<1.3.0
install_requires =
- blis>=1.0.0,<1.1.0
+ blis>=1.0.0,<1.3.0
murmurhash>=1.0.2,<1.1.0
cymem>=2.0.2,<2.1.0
preshed>=3.0.2,<3.1.0
@@ -44,7 +44,7 @@ install_requires =
catalogue>=2.0.4,<2.1.0
confection>=0.0.1,<1.0.0
setuptools
- numpy>=2.0.0,<3.0.0
+ numpy>=0,<3.0.0
pydantic>=1.7.4,!=1.8,!=1.8.1,<3.0.0
packaging>=20.0
devel/py-thinc/pkg-descr
-6
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@@ -1,6 +0,0 @@
Thinc is a lightweight deep learning library that offers an elegant,
type-checked, functional-programming API for composing models, with support for
layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You
can use Thinc as an interface layer, a standalone toolkit or a flexible way to
develop new models. Previous versions of Thinc have been running quietly in
production in thousands of companies, via both spaCy and Prodigy.