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openbsd-ports/www/py-bokeh/Makefile

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update to py-bokeh-2.3
2021-03-31 20:18:59 +00:00
# $OpenBSD: Makefile,v 1.34 2021/03/31 20:18:59 sthen Exp $
Import py-bokeh-0.12.4. Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data application. req. by and ok mpi@
2017-01-25 08:29:28 +00:00
COMMENT= statistical and novel interactive HTML plots for Python
update to py-bokeh-2.3
2021-03-31 20:18:59 +00:00
MODPY_EGG_VERSION= 2.3.0
Import py-bokeh-0.12.4. Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data application. req. by and ok mpi@
2017-01-25 08:29:28 +00:00
DISTNAME= bokeh-${MODPY_EGG_VERSION}
PKGNAME= py-bokeh-${MODPY_EGG_VERSION}
CATEGORIES= www graphics
convert bokeh into a flavored port ok sthen@
2020-11-22 14:53:02 +00:00
HOMEPAGE= https://bokeh.org/
Import py-bokeh-0.12.4. Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data application. req. by and ok mpi@
2017-01-25 08:29:28 +00:00
# BSD
replace simple PERMIT_PACKAGE_CDROM=Yes with PERMIT_PACKAGE=Yes
2019-07-12 20:50:46 +00:00
PERMIT_PACKAGE= Yes
Import py-bokeh-0.12.4. Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data application. req. by and ok mpi@
2017-01-25 08:29:28 +00:00
MODULES= lang/python
convert bokeh into a flavored port ok sthen@
2020-11-22 14:53:02 +00:00
FLAVORS= python3
FLAVOR = python3
Import py-bokeh-0.12.4. Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data application. req. by and ok mpi@
2017-01-25 08:29:28 +00:00
MODPY_PI= Yes
convert bokeh into a flavored port ok sthen@
2020-11-22 14:53:02 +00:00
MODPY_SETUPTOOLS= Yes
Enable testing for www/py-bokeh Now that the python2 flavor is dropped, we can enable tests (test depend on math/py-networkx, which was python3-only). While here, add a RUN_DEPENDS on py-packaging which setup.py says is required for install. ok sthen
2019-11-07 11:05:26 +00:00
MODPY_PYTEST= Yes
MODPY_PYTEST_ARGS= bokeh
Import py-bokeh-0.12.4. Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data application. req. by and ok mpi@
2017-01-25 08:29:28 +00:00
RUN_DEPENDS= devel/py-dateutil${MODPY_FLAVOR} \
Update to py3-bokeh-2.1.1.
2020-08-14 14:03:59 +00:00
devel/py-typing-extensions${MODPY_FLAVOR} \
Update to py-bokeh-1.0.0.
2018-10-27 16:26:05 +00:00
graphics/py-Pillow${MODPY_FLAVOR} \
Import py-bokeh-0.12.4. Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data application. req. by and ok mpi@
2017-01-25 08:29:28 +00:00
math/py-numpy${MODPY_FLAVOR} \
Enable testing for www/py-bokeh Now that the python2 flavor is dropped, we can enable tests (test depend on math/py-networkx, which was python3-only). While here, add a RUN_DEPENDS on py-packaging which setup.py says is required for install. ok sthen
2019-11-07 11:05:26 +00:00
sysutils/py-packaging${MODPY_FLAVOR} \
Import py-bokeh-0.12.4. Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data application. req. by and ok mpi@
2017-01-25 08:29:28 +00:00
textproc/py-yaml${MODPY_FLAVOR} \
www/py-jinja2${MODPY_FLAVOR} \
www/py-tornado${MODPY_FLAVOR}
Enable testing for www/py-bokeh Now that the python2 flavor is dropped, we can enable tests (test depend on math/py-networkx, which was python3-only). While here, add a RUN_DEPENDS on py-packaging which setup.py says is required for install. ok sthen
2019-11-07 11:05:26 +00:00
TEST_DEPENDS= devel/ipython${MODPY_FLAVOR} \
devel/py-flaky${MODPY_FLAVOR} \
devel/py-mock${MODPY_FLAVOR} \
devel/py-nbconvert${MODPY_FLAVOR} \
devel/py-nbformat${MODPY_FLAVOR} \
math/py-networkx -> math/py-networkx${MODPY_FLAVOR}
2020-06-14 10:14:14 +00:00
math/py-networkx${MODPY_FLAVOR} \
Enable testing for www/py-bokeh Now that the python2 flavor is dropped, we can enable tests (test depend on math/py-networkx, which was python3-only). While here, add a RUN_DEPENDS on py-packaging which setup.py says is required for install. ok sthen
2019-11-07 11:05:26 +00:00
math/py-pandas${MODPY_FLAVOR} \
Update to py3-bokeh-2.1.1.
2020-08-14 14:03:59 +00:00
www/py-requests${MODPY_FLAVOR} \
Enable testing for www/py-bokeh Now that the python2 flavor is dropped, we can enable tests (test depend on math/py-networkx, which was python3-only). While here, add a RUN_DEPENDS on py-packaging which setup.py says is required for install. ok sthen
2019-11-07 11:05:26 +00:00
www/py-selenium${MODPY_FLAVOR}
Import py-bokeh-0.12.4. Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data application. req. by and ok mpi@
2017-01-25 08:29:28 +00:00
.include <bsd.port.mk>
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