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%global _empty_manifest_terminate_build 0
Name: python-geobuf
Version: 1.1.1
Release: 1
Summary: Geobuf is a compact binary geospatial format for lossless compression of GeoJSON and TopoJSON data.
License: MIT
URL: https://github.com/mapbox/pygeobuf
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/af/f0/7d9f7d7b2b45dbf9ef6addf00bdd5261045be6e5a37a005e9929c08de86f/geobuf-1.1.1.tar.gz
BuildArch: noarch
Requires: python3-click
Requires: python3-protobuf
Requires: python3-six
Requires: python3-pytest
%description
Geobuf is a compact binary geospatial format for *lossless* compression
of GeoJSON and TopoJSON data.
|Build Status| |Coverage Status|
**Note well**: this project is no longer actively developed. Issues and
pull requests will be attended to when possible, but delays should be
expected.
Advantages over using GeoJSON and TopoJSON directly (in this `revised
version <https://github.com/mapbox/geobuf/issues/27>`__):
- **Very compact**: typically makes GeoJSON 6-8 times smaller and
TopoJSON 2-3 times smaller.
- Smaller even when comparing gzipped sizes: 2-2.5x compression for
GeoJSON and 20-30% for TopoJSON.
- Easy **incremental parsing** — you can get features out as you read
them, without the need to build in-memory representation of the whole
data.
- **Partial reads** — you can read only the parts you actually need,
skipping the rest.
- Trivial **concatenation**: you can concatenate many Geobuf files
together and they will form a valid combined Geobuf file.
- Potentially **faster encoding/decoding** compared to native JSON
implementations (i.e. in Web browsers).
- Can still accommodate any GeoJSON and TopoJSON data, including
extensions with arbitrary properties.
Think of this as an attempt to design a simple, modern Shapefile
successor that works seamlessly with GeoJSON and TopoJSON.
Unlike `Mapbox Vector
Tiles <https://github.com/mapbox/vector-tile-spec/>`__, it aims for
*lossless* compression of datasets — without tiling, projecting
coordinates, flattening geometries or stripping properties.
pygeobuf
^^^^^^^^
This repository is the first encoding/decoding implementation of this
new major version of `Geobuf <https://github.com/mapbox/geobuf>`__ (in
Python). It serves as a prototyping playground, with faster
implementations in JS and C++ coming in future.
Sample compression sizes
^^^^^^^^^^^^^^^^^^^^^^^^
| normal | gzipped
+---------------------+-------------+------------+
| us-zips.json | 101.85 MB | 26.67 MB |
+---------------------+-------------+------------+
| us-zips.pbf | 12.24 MB | 10.48 MB |
+---------------------+-------------+------------+
| us-zips.topo.json | 15.02 MB | 3.19 MB |
+---------------------+-------------+------------+
| us-zips.topo.pbf | 4.85 MB | 2.72 MB |
+---------------------+-------------+------------+
| idaho.json | 10.92 MB | 2.57 MB |
+---------------------+-------------+------------+
| idaho.pbf | 1.37 MB | 1.17 MB |
+---------------------+-------------+------------+
| idaho.topo.json | 1.9 MB | 612 KB |
+---------------------+-------------+------------+
| idaho.topo.pbf | 567 KB | 479 KB |
+---------------------+-------------+------------+
Usage
~~~~~
Command line:
geobuf encode < example.json > example.pbf
geobuf decode < example.pbf > example.pbf.json
As a module:
import geobuf
pbf = geobuf.encode(my_json) # GeoJSON or TopoJSON -> Geobuf string
my_json = geobuf.decode(pbf) # Geobuf string -> GeoJSON or TopoJSON
The ``encode`` function accepts a dict-like object, for example the
result of ``json.loads(json_str)``.
Both ``encode.py`` and ``geobuf.encode`` accept two optional arguments:
- **precision** — max number of digits after the decimal point in
coordinates, ``6`` by default.
- **dimensions** — number of dimensions in coordinates, ``2`` by
default.
Tests
~~~~~
py.test -v
The tests run through all ``.json`` files in the ``fixtures`` directory,
comparing each original GeoJSON with an encoded/decoded one.
%package -n python3-geobuf
Summary: Geobuf is a compact binary geospatial format for lossless compression of GeoJSON and TopoJSON data.
Provides: python-geobuf
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-geobuf
Geobuf is a compact binary geospatial format for *lossless* compression
of GeoJSON and TopoJSON data.
|Build Status| |Coverage Status|
**Note well**: this project is no longer actively developed. Issues and
pull requests will be attended to when possible, but delays should be
expected.
Advantages over using GeoJSON and TopoJSON directly (in this `revised
version <https://github.com/mapbox/geobuf/issues/27>`__):
- **Very compact**: typically makes GeoJSON 6-8 times smaller and
TopoJSON 2-3 times smaller.
- Smaller even when comparing gzipped sizes: 2-2.5x compression for
GeoJSON and 20-30% for TopoJSON.
- Easy **incremental parsing** — you can get features out as you read
them, without the need to build in-memory representation of the whole
data.
- **Partial reads** — you can read only the parts you actually need,
skipping the rest.
- Trivial **concatenation**: you can concatenate many Geobuf files
together and they will form a valid combined Geobuf file.
- Potentially **faster encoding/decoding** compared to native JSON
implementations (i.e. in Web browsers).
- Can still accommodate any GeoJSON and TopoJSON data, including
extensions with arbitrary properties.
Think of this as an attempt to design a simple, modern Shapefile
successor that works seamlessly with GeoJSON and TopoJSON.
Unlike `Mapbox Vector
Tiles <https://github.com/mapbox/vector-tile-spec/>`__, it aims for
*lossless* compression of datasets — without tiling, projecting
coordinates, flattening geometries or stripping properties.
pygeobuf
^^^^^^^^
This repository is the first encoding/decoding implementation of this
new major version of `Geobuf <https://github.com/mapbox/geobuf>`__ (in
Python). It serves as a prototyping playground, with faster
implementations in JS and C++ coming in future.
Sample compression sizes
^^^^^^^^^^^^^^^^^^^^^^^^
| normal | gzipped
+---------------------+-------------+------------+
| us-zips.json | 101.85 MB | 26.67 MB |
+---------------------+-------------+------------+
| us-zips.pbf | 12.24 MB | 10.48 MB |
+---------------------+-------------+------------+
| us-zips.topo.json | 15.02 MB | 3.19 MB |
+---------------------+-------------+------------+
| us-zips.topo.pbf | 4.85 MB | 2.72 MB |
+---------------------+-------------+------------+
| idaho.json | 10.92 MB | 2.57 MB |
+---------------------+-------------+------------+
| idaho.pbf | 1.37 MB | 1.17 MB |
+---------------------+-------------+------------+
| idaho.topo.json | 1.9 MB | 612 KB |
+---------------------+-------------+------------+
| idaho.topo.pbf | 567 KB | 479 KB |
+---------------------+-------------+------------+
Usage
~~~~~
Command line:
geobuf encode < example.json > example.pbf
geobuf decode < example.pbf > example.pbf.json
As a module:
import geobuf
pbf = geobuf.encode(my_json) # GeoJSON or TopoJSON -> Geobuf string
my_json = geobuf.decode(pbf) # Geobuf string -> GeoJSON or TopoJSON
The ``encode`` function accepts a dict-like object, for example the
result of ``json.loads(json_str)``.
Both ``encode.py`` and ``geobuf.encode`` accept two optional arguments:
- **precision** — max number of digits after the decimal point in
coordinates, ``6`` by default.
- **dimensions** — number of dimensions in coordinates, ``2`` by
default.
Tests
~~~~~
py.test -v
The tests run through all ``.json`` files in the ``fixtures`` directory,
comparing each original GeoJSON with an encoded/decoded one.
%package help
Summary: Development documents and examples for geobuf
Provides: python3-geobuf-doc
%description help
Geobuf is a compact binary geospatial format for *lossless* compression
of GeoJSON and TopoJSON data.
|Build Status| |Coverage Status|
**Note well**: this project is no longer actively developed. Issues and
pull requests will be attended to when possible, but delays should be
expected.
Advantages over using GeoJSON and TopoJSON directly (in this `revised
version <https://github.com/mapbox/geobuf/issues/27>`__):
- **Very compact**: typically makes GeoJSON 6-8 times smaller and
TopoJSON 2-3 times smaller.
- Smaller even when comparing gzipped sizes: 2-2.5x compression for
GeoJSON and 20-30% for TopoJSON.
- Easy **incremental parsing** — you can get features out as you read
them, without the need to build in-memory representation of the whole
data.
- **Partial reads** — you can read only the parts you actually need,
skipping the rest.
- Trivial **concatenation**: you can concatenate many Geobuf files
together and they will form a valid combined Geobuf file.
- Potentially **faster encoding/decoding** compared to native JSON
implementations (i.e. in Web browsers).
- Can still accommodate any GeoJSON and TopoJSON data, including
extensions with arbitrary properties.
Think of this as an attempt to design a simple, modern Shapefile
successor that works seamlessly with GeoJSON and TopoJSON.
Unlike `Mapbox Vector
Tiles <https://github.com/mapbox/vector-tile-spec/>`__, it aims for
*lossless* compression of datasets — without tiling, projecting
coordinates, flattening geometries or stripping properties.
pygeobuf
^^^^^^^^
This repository is the first encoding/decoding implementation of this
new major version of `Geobuf <https://github.com/mapbox/geobuf>`__ (in
Python). It serves as a prototyping playground, with faster
implementations in JS and C++ coming in future.
Sample compression sizes
^^^^^^^^^^^^^^^^^^^^^^^^
| normal | gzipped
+---------------------+-------------+------------+
| us-zips.json | 101.85 MB | 26.67 MB |
+---------------------+-------------+------------+
| us-zips.pbf | 12.24 MB | 10.48 MB |
+---------------------+-------------+------------+
| us-zips.topo.json | 15.02 MB | 3.19 MB |
+---------------------+-------------+------------+
| us-zips.topo.pbf | 4.85 MB | 2.72 MB |
+---------------------+-------------+------------+
| idaho.json | 10.92 MB | 2.57 MB |
+---------------------+-------------+------------+
| idaho.pbf | 1.37 MB | 1.17 MB |
+---------------------+-------------+------------+
| idaho.topo.json | 1.9 MB | 612 KB |
+---------------------+-------------+------------+
| idaho.topo.pbf | 567 KB | 479 KB |
+---------------------+-------------+------------+
Usage
~~~~~
Command line:
geobuf encode < example.json > example.pbf
geobuf decode < example.pbf > example.pbf.json
As a module:
import geobuf
pbf = geobuf.encode(my_json) # GeoJSON or TopoJSON -> Geobuf string
my_json = geobuf.decode(pbf) # Geobuf string -> GeoJSON or TopoJSON
The ``encode`` function accepts a dict-like object, for example the
result of ``json.loads(json_str)``.
Both ``encode.py`` and ``geobuf.encode`` accept two optional arguments:
- **precision** — max number of digits after the decimal point in
coordinates, ``6`` by default.
- **dimensions** — number of dimensions in coordinates, ``2`` by
default.
Tests
~~~~~
py.test -v
The tests run through all ``.json`` files in the ``fixtures`` directory,
comparing each original GeoJSON with an encoded/decoded one.
%prep
%autosetup -n geobuf-1.1.1
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-geobuf -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.1-1
- Package Spec generated
|
