lang/python/python.port.mk revision 1.102 and 1.103 added
MODPY_TEST_LOCALE and MODPY_PYTEST respectively, nicely wrapping up the
usual pytest dance.
This removes hand-rolled do-tests from all 70 ports by setting
MODPY_PYTEST=Yes and MODPY_TEST_LOCALE as well as HOME=${WRKDIR} to TESTENV
as needed.
From Kurt Mosiejczuk <kurt at cranky dot work>, thanks!
OK sthen
environment, which will reduce complexity in java.port.mk when jdk 11 is
added. direction agreed with kurt@.
- switch all MODJAVA_VER to at least 1.8 (we don't currently have any
version earlier than this anyway).
- drop MODJAVA_JRERUN, the separate jre package will be going away with
jdk 11.
- bump changed ports
Mesh Data Abstraction Library (MDAL) is a C++ library for handling unstructured
mesh data released with MIT license. It provides a single data model for
multiple supported data formats. MDAL is used by QGIS for data access for mesh
layers.
with a cmake patch to fix tests from rsadowski@, thanks!
ok rsadowski@
Not importing pre10 since it requires numpy 1.15.
rio-cogeo is a rasterio plugin dedicated to CloudOptimized GeoTIFF (COGEO)
creation.
By default the following profiles are available:
* JPEG
* ZSTD
* LZW
* DEFLATE
Profiles can be extended by providing GDAL -co options on the command line.
ok jca@
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@
- make the web iface default to listen on localhost only
- disable the builtin 'report statistics home' feature
- provide a README with an example nginx vhost
