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openbsd-ports/geo/py-rasterio/Makefile

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Update to 1.1.2, fix tests and take MAINTAINER ok kmos@
2020-01-07 08:27:50 +00:00
# $OpenBSD: Makefile,v 1.6 2020/01/07 08:27:50 martin Exp $
Import py-rasterio 1.0.8. Rasterio's goal is a raster data library, expressing GDAL's data model using fewer non-idiomatic extension classes and more idiomatic Python types and protocols, while performing as fast as GDAL's Python bindings. Geographic information systems use GeoTIFF and other formats to organize and store gridded raster datasets such as satellite imagery and terrain models. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON. geo/py-rasterio is to GDAL what geo/py-fiona is to OGR. ok/tweaks mariani@
2019-02-22 13:52:26 +00:00
COMMENT = geospatial raster data API and CLI
Update to 1.1.2, fix tests and take MAINTAINER ok kmos@
2020-01-07 08:27:50 +00:00
MODPY_EGG_VERSION = 1.1.2
Import py-rasterio 1.0.8. Rasterio's goal is a raster data library, expressing GDAL's data model using fewer non-idiomatic extension classes and more idiomatic Python types and protocols, while performing as fast as GDAL's Python bindings. Geographic information systems use GeoTIFF and other formats to organize and store gridded raster datasets such as satellite imagery and terrain models. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON. geo/py-rasterio is to GDAL what geo/py-fiona is to OGR. ok/tweaks mariani@
2019-02-22 13:52:26 +00:00
DISTNAME = rasterio-${MODPY_EGG_VERSION}
PKGNAME = py-${DISTNAME}
CATEGORIES = geo
HOMEPAGE = https://rasterio.readthedocs.io/en/latest/
Update to 1.1.2, fix tests and take MAINTAINER ok kmos@
2020-01-07 08:27:50 +00:00
MAINTAINER = Martin Reindl <martin@catai.org>
Import py-rasterio 1.0.8. Rasterio's goal is a raster data library, expressing GDAL's data model using fewer non-idiomatic extension classes and more idiomatic Python types and protocols, while performing as fast as GDAL's Python bindings. Geographic information systems use GeoTIFF and other formats to organize and store gridded raster datasets such as satellite imagery and terrain models. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON. geo/py-rasterio is to GDAL what geo/py-fiona is to OGR. ok/tweaks mariani@
2019-02-22 13:52:26 +00:00
# BSD
replace simple PERMIT_PACKAGE_CDROM=Yes with PERMIT_PACKAGE=Yes
2019-07-12 20:46:54 +00:00
PERMIT_PACKAGE = Yes
Import py-rasterio 1.0.8. Rasterio's goal is a raster data library, expressing GDAL's data model using fewer non-idiomatic extension classes and more idiomatic Python types and protocols, while performing as fast as GDAL's Python bindings. Geographic information systems use GeoTIFF and other formats to organize and store gridded raster datasets such as satellite imagery and terrain models. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON. geo/py-rasterio is to GDAL what geo/py-fiona is to OGR. ok/tweaks mariani@
2019-02-22 13:52:26 +00:00
MODULES = lang/python
FLAVORS = python3
FLAVOR ?=
COMPILER = base-clang ports-gcc
MODPY_SETUPTOOLS = Yes
MODPY_PI = Yes
LIB_DEPENDS = geo/gdal
WANTLIB += ${COMPILER_LIBCXX} gdal m ${MODPY_WANTLIB}
BUILD_DEPENDS += math/py-numpy${MODPY_FLAVOR}
RUN_DEPENDS = geo/py-cligj${MODPY_FLAVOR}>=0.5 \
net/py-boto3${MODPY_FLAVOR} \
devel/py-click${MODPY_FLAVOR} \
devel/py-click-plugins${MODPY_FLAVOR} \
math/py-numpy${MODPY_FLAVOR} \
math/py-snuggs${MODPY_FLAVOR} \
math/py-affine${MODPY_FLAVOR}
.if !${FLAVOR:Mpython3}
RUN_DEPENDS += devel/py-enum34
.endif
# test_read_no_band requires hdf5 support in GDAL
# requires datafiles only on github...
NO_TEST = Yes
Add RUN_DEPENDS to TEST_DEPENDS automatically for ports using the lang/python port module. I've not yet come up with a port that would not need this and one can always set MODPY_TESTDEP to "no" to prevent the module from touching TEST_DEPENDS. Idea from afresh1 who pointed out the cpan module already does this. aja "I support this move." OK sthen@
2019-05-15 12:04:34 +00:00
TEST_DEPENDS = devel/py-test${MODPY_FLAVOR} \
Import py-rasterio 1.0.8. Rasterio's goal is a raster data library, expressing GDAL's data model using fewer non-idiomatic extension classes and more idiomatic Python types and protocols, while performing as fast as GDAL's Python bindings. Geographic information systems use GeoTIFF and other formats to organize and store gridded raster datasets such as satellite imagery and terrain models. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON. geo/py-rasterio is to GDAL what geo/py-fiona is to OGR. ok/tweaks mariani@
2019-02-22 13:52:26 +00:00
devel/py-test-cov${MODPY_FLAVOR} \
Update to 1.1.2, fix tests and take MAINTAINER ok kmos@
2020-01-07 08:27:50 +00:00
devel/py-hypothesis${MODPY_FLAVOR} \
devel/py-mock${MODPY_FLAVOR}
Import py-rasterio 1.0.8. Rasterio's goal is a raster data library, expressing GDAL's data model using fewer non-idiomatic extension classes and more idiomatic Python types and protocols, while performing as fast as GDAL's Python bindings. Geographic information systems use GeoTIFF and other formats to organize and store gridded raster datasets such as satellite imagery and terrain models. Rasterio reads and writes these formats and provides a Python API based on Numpy N-dimensional arrays and GeoJSON. geo/py-rasterio is to GDAL what geo/py-fiona is to OGR. ok/tweaks mariani@
2019-02-22 13:52:26 +00:00
post-install:
mv ${PREFIX}/bin/rio{,${MODPY_BIN_SUFFIX}}
.include <bsd.port.mk>
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