misc/py-ipyfastscape: Remove port

Leaf libraries not relevant to server environment
This commit is contained in:
2025-04-28 15:10:50 +02:00
parent 033e4238a3
commit 757fc9739e
5 changed files with 1 additions and 47 deletions
+1
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@@ -4529,6 +4529,7 @@ misc/parley
misc/py-fastscapelib
misc/py-gluoncv
misc/py-gluonnlp
misc/py-ipyfastscape
misc/py-molequeue
misc/py-mxnet
misc/py-numcodecs
-1
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@@ -366,7 +366,6 @@
SUBDIR += py-huggingface-hub
SUBDIR += py-icoextract
SUBDIR += py-instructor
SUBDIR += py-ipyfastscape
SUBDIR += py-jiwer
SUBDIR += py-kartograph
SUBDIR += py-laspy
-32
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@@ -1,32 +0,0 @@
PORTNAME= ipyfastscape
DISTVERSION= 0.2.1
CATEGORIES= misc
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= yuri@FreeBSD.org
COMMENT= Interactive widgets for topographic data analysis and modelling
WWW= https://github.com/fastscape-lem/ipyfastscape
LICENSE= BSD3CLAUSE
LICENSE_FILE= ${WRKSRC}/LICENSE
BUILD_DEPENDS= ${PY_SETUPTOOLS} \
${PYTHON_PKGNAMEPREFIX}setuptools-scm>0:devel/py-setuptools-scm@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}wheel>0:devel/py-wheel@${PY_FLAVOR}
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}ipygany>=0.5.0:science/py-ipygany@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}ipywidgets>0:devel/py-ipywidgets@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}ipython>=0:devel/ipython@${PY_FLAVOR} \
${PYNUMPY} \
${PYTHON_PKGNAMEPREFIX}xarray>0:devel/py-xarray@${PY_FLAVOR}
USES= python
USE_PYTHON= pep517 autoplist pytest
USE_GITHUB= yes
GH_ACCOUNT= fastscape-lem
MAKE_ENV= SETUPTOOLS_SCM_PRETEND_VERSION=${DISTVERSION} # workaround for LookupError: setuptools-scm was unable to detect version for ...
NO_ARCH= yes
.include <bsd.port.mk>
-3
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@@ -1,3 +0,0 @@
TIMESTAMP = 1718850871
SHA256 (fastscape-lem-ipyfastscape-0.2.1_GH0.tar.gz) = 93641e0fe03c237d5a1c2f0ccff61a4ccecb37405d2a3545336a73cec1fc7747
SIZE (fastscape-lem-ipyfastscape-0.2.1_GH0.tar.gz) = 15894
-11
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@@ -1,11 +0,0 @@
Ipyfastscape is interactive widgets for topographic data analysis and modelling
in Jupyter notebooks.
While ipyfastscape is tightly integrated with fastscape, it also integrates very
well with any data in the form of an xarray dataset or any model created with
xarray-simlab.
The widgets available here are built on top of libraries of the jupyter's widget
ecosystem such as ipywidgets and ipygany. You can reuse those high-level UI
components as-is within notebooks (embedded mini-apps) or for building
interactive dashboards that you can then publish as standalone web applications.