Source: harp Section: utils Priority: optional Maintainer: Debian Science Maintainers Uploaders: Alastair McKinstry Build-Depends: debhelper-compat (= 13), dh-sequence-python3, libjs-jquery, libjs-mathjax, libjs-underscore, dh-buildinfo, bison, zip, python3-all, python3-numpy, python3-breathe, libcoda-dev (>= 2.20-2), libnetcdf-dev, netcdf-bin, libhdf5-dev | libhdf5-serial-dev, libaec-dev, libjpeg-dev, zlib1g-dev, libhdf4-alt-dev, libexpat1-dev, libudunits2-dev, flex, sphinx-doc, python3-sphinx-rtd-theme, python3-sphinxcontrib.jquery, doxygen Standards-Version: 4.7.0 Homepage: https://github.com/stcorp/harp Vcs-Browser: https://salsa.debian.org/science-team/harp.git Vcs-Git: https://salsa.debian.org/science-team/harp.git -b debian/latest Package: harp Architecture: any Depends: ${misc:Depends}, ${shlibs:Depends}, libharp13 ( = ${binary:Version}), libudunits2-data Recommends: python3-harp Description: Data harmonization toolset for Earth Observation formats HARP is a toolset for ingesting, processing and inter-comparing satellite or model data against correlative data. The toolset is composed of a set of command line tools, a C library of analysis functions, and import/export interfaces for Python. The main goal of HARP is to assist in the inter-comparison of data sets. By appropriatelty chaining calls to the HARP command line tools one can preprocess satellite, model, and/or correlative data such that two datasets that need to be compared end up having the same temporal/spatial grid, same data format/structure, and same physical units. . This package provides the HARP binary utilities. Package: libharp13 Section: libs Architecture: any Depends: ${misc:Depends}, ${shlibs:Depends}, python3-cffi-backend, python3-numpy Multi-Arch: same Description: Data harmonisation toolset for Earth Observation formats HARP is a toolset for ingesting, processing and inter-comparing satellite or model data against correlative data. The toolset is composed of a set of command line tools, a C library of analysis functions, and import/export interfaces for Python. The main goal of HARP is to assist in the inter-comparison of data sets. By appropriatelty chaining calls to the HARP command line tools one can preprocess satellite, model, and/or correlative data such that two datasets that need to be compared end up having the same temporal/spatial grid, same data format/structure, and same physical units. . This package provides the HARP shared library. Package: libharp-dev Section: libdevel Architecture: any Multi-Arch: same Depends: ${misc:Depends}, libharp13 (= ${binary:Version}), libjs-jquery, libjs-mathjax, libjs-underscore, libjs-sphinxdoc, fonts-roboto-slab, fonts-lato Description: Data harmonisation toolset for Earth Observation formats HARP is a toolset for ingesting, processing and inter-comparing satellite or model data against correlative data. The toolset is composed of a set of command line tools, a C library of analysis functions, and import/export interfaces for Python. The main goal of HARP is to assist in the inter-comparison of data sets. By appropriatelty chaining calls to the HARP command line tools one can preprocess satellite, model, and/or correlative data such that two datasets that need to be compared end up having the same temporal/spatial grid, same data format/structure, and same physical units. . This package provides static libs and development files for HARP. Package: python3-harp Architecture: any Section: python Depends: harp, ${misc:Depends}, ${python3:Depends}, libharp13 ( = ${binary:Version}) Provides: ${python:Provides} Description: Python3 interface for the HARP data harmonisation toolset HARP is a toolset for ingesting, processing and inter-comparing satellite or model data against correlative data. The toolset is composed of a set of command line tools, a C library of analysis functions, and import/export interfaces for Python. The main goal of HARP is to assist in the inter-comparison of data sets. By appropriatelty chaining calls to the HARP command line tools one can preprocess satellite, model, and/or correlative data such that two datasets that need to be compared end up having the same temporal/spatial grid, same data format/structure, and same physical units. . This package contains Python3 wrappers for the HARP toolset.