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Source: harp
Section: utils
Priority: optional
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Alastair McKinstry <mckinstry@debian.org>
Build-Depends: debhelper-compat (= 13),
dh-sequence-python3,
libjs-jquery, libjs-mathjax, libjs-underscore,
dh-buildinfo,
bison,
zip,
python3-all,
python3-numpy,
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,
doxygen
Standards-Version: 4.5.0
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
Section: utils
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}, libharp12 ( = ${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: libharp12
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}, libharp12 (= ${binary:Version}),
libjs-jquery, libjs-mathjax, libjs-underscore,
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}, libharp12 ( = ${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.
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