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%global _empty_manifest_terminate_build 0
Name: python-plotoptix
Version: 0.16.1
Release: 1
Summary: Data visualisation in Python based on NVIDIA OptiX ray tracing framework.
License: Free for non-commercial use
URL: https://rnd.team/plotoptix
Source0: https://mirrors.aliyun.com/pypi/web/packages/bf/78/13cc8eae04a84a1bad08ffce9d7483a258a28ac2eb659a3b44ab9cbcbd9d/plotoptix-0.16.1.tar.gz
Requires: python3-packaging
Requires: python3-numpy
Requires: python3-Pillow
Requires: python3-dateutil
Requires: python3-matplotlib
Requires: python3-requests
Requires: python3-enum34
%description
**Data visualisation and ray tracing in Python based on NVIDIA OptiX framework.**
`Docs <https://plotoptix.rnd.team>`__
- Have a look what is possible with PlotOptiX: `Behance <https://www.behance.net/RnDTeam>`__, `Instagram <https://www.instagram.com/rnd.team.studio/>`__, and `Facebook <https://www.facebook.com/rndteam>`__.
- Join us on `Patreon <https://www.patreon.com/rndteam?fan_landing=true>`__ for news, release plans and hi-res content.
PlotOptiX is a 3D `ray tracing <https://en.wikipedia.org/wiki/Ray_tracing_(graphics)>`__ package for Python, aimed at easy and aesthetic visualization
of large datasets (and small as well). Data features can be represented in images as a position, size/thickness and color of primitives
of several basic shapes, or projected onto surfaces of objects in form of a color textures and displacement maps. Triangular meshes,
generated in the code or loaded from a file, are supported as well. All is finished with a photorealistic lighting, depth of field, and many other
physically based effects simulated with a high quality.
No need to write shaders, intersection algorithms, handle 3D scene technicalities. Basic usage is even more simple than with
`matplotlib <https://matplotlib.org/gallery/mplot3d/scatter3d.html>`__:
import numpy as np
from plotoptix import TkOptiX
n = 1000000 # 1M points, better not try this with matplotlib
xyz = 3 * (np.random.random((n, 3)) - 0.5) # random 3D positions
r = 0.02 * np.random.random(n) + 0.002 # random radii
plot = TkOptiX()
plot.set_data("my plot", xyz, r=r)
plot.show()
Check `examples on GitHub <https://github.com/rnd-team-dev/plotoptix/tree/master/examples>`__ for practical code samples and `documentation pages <https://plotoptix.rnd.team>`__ for a complete API reference.
PlotOptiX is a set of CUDA shaders by `R&D Team <https://rnd.team>`_ wrapped in C#/C++ libraries with a Python API. PlotOptiX is based on `NVIDIA OptiX 7.7 <https://developer.nvidia.com/optix>`_ framework and makes use of RTX-capable GPU's.
You can quickly display data in a simple plot:
or prepare complex scenes, combining your generated data with meshes modeled elsewhere:
%package -n python3-plotoptix
Summary: Data visualisation in Python based on NVIDIA OptiX ray tracing framework.
Provides: python-plotoptix
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-plotoptix
**Data visualisation and ray tracing in Python based on NVIDIA OptiX framework.**
`Docs <https://plotoptix.rnd.team>`__
- Have a look what is possible with PlotOptiX: `Behance <https://www.behance.net/RnDTeam>`__, `Instagram <https://www.instagram.com/rnd.team.studio/>`__, and `Facebook <https://www.facebook.com/rndteam>`__.
- Join us on `Patreon <https://www.patreon.com/rndteam?fan_landing=true>`__ for news, release plans and hi-res content.
PlotOptiX is a 3D `ray tracing <https://en.wikipedia.org/wiki/Ray_tracing_(graphics)>`__ package for Python, aimed at easy and aesthetic visualization
of large datasets (and small as well). Data features can be represented in images as a position, size/thickness and color of primitives
of several basic shapes, or projected onto surfaces of objects in form of a color textures and displacement maps. Triangular meshes,
generated in the code or loaded from a file, are supported as well. All is finished with a photorealistic lighting, depth of field, and many other
physically based effects simulated with a high quality.
No need to write shaders, intersection algorithms, handle 3D scene technicalities. Basic usage is even more simple than with
`matplotlib <https://matplotlib.org/gallery/mplot3d/scatter3d.html>`__:
import numpy as np
from plotoptix import TkOptiX
n = 1000000 # 1M points, better not try this with matplotlib
xyz = 3 * (np.random.random((n, 3)) - 0.5) # random 3D positions
r = 0.02 * np.random.random(n) + 0.002 # random radii
plot = TkOptiX()
plot.set_data("my plot", xyz, r=r)
plot.show()
Check `examples on GitHub <https://github.com/rnd-team-dev/plotoptix/tree/master/examples>`__ for practical code samples and `documentation pages <https://plotoptix.rnd.team>`__ for a complete API reference.
PlotOptiX is a set of CUDA shaders by `R&D Team <https://rnd.team>`_ wrapped in C#/C++ libraries with a Python API. PlotOptiX is based on `NVIDIA OptiX 7.7 <https://developer.nvidia.com/optix>`_ framework and makes use of RTX-capable GPU's.
You can quickly display data in a simple plot:
or prepare complex scenes, combining your generated data with meshes modeled elsewhere:
%package help
Summary: Development documents and examples for plotoptix
Provides: python3-plotoptix-doc
%description help
**Data visualisation and ray tracing in Python based on NVIDIA OptiX framework.**
`Docs <https://plotoptix.rnd.team>`__
- Have a look what is possible with PlotOptiX: `Behance <https://www.behance.net/RnDTeam>`__, `Instagram <https://www.instagram.com/rnd.team.studio/>`__, and `Facebook <https://www.facebook.com/rndteam>`__.
- Join us on `Patreon <https://www.patreon.com/rndteam?fan_landing=true>`__ for news, release plans and hi-res content.
PlotOptiX is a 3D `ray tracing <https://en.wikipedia.org/wiki/Ray_tracing_(graphics)>`__ package for Python, aimed at easy and aesthetic visualization
of large datasets (and small as well). Data features can be represented in images as a position, size/thickness and color of primitives
of several basic shapes, or projected onto surfaces of objects in form of a color textures and displacement maps. Triangular meshes,
generated in the code or loaded from a file, are supported as well. All is finished with a photorealistic lighting, depth of field, and many other
physically based effects simulated with a high quality.
No need to write shaders, intersection algorithms, handle 3D scene technicalities. Basic usage is even more simple than with
`matplotlib <https://matplotlib.org/gallery/mplot3d/scatter3d.html>`__:
import numpy as np
from plotoptix import TkOptiX
n = 1000000 # 1M points, better not try this with matplotlib
xyz = 3 * (np.random.random((n, 3)) - 0.5) # random 3D positions
r = 0.02 * np.random.random(n) + 0.002 # random radii
plot = TkOptiX()
plot.set_data("my plot", xyz, r=r)
plot.show()
Check `examples on GitHub <https://github.com/rnd-team-dev/plotoptix/tree/master/examples>`__ for practical code samples and `documentation pages <https://plotoptix.rnd.team>`__ for a complete API reference.
PlotOptiX is a set of CUDA shaders by `R&D Team <https://rnd.team>`_ wrapped in C#/C++ libraries with a Python API. PlotOptiX is based on `NVIDIA OptiX 7.7 <https://developer.nvidia.com/optix>`_ framework and makes use of RTX-capable GPU's.
You can quickly display data in a simple plot:
or prepare complex scenes, combining your generated data with meshes modeled elsewhere:
%prep
%autosetup -n plotoptix-0.16.1
%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-plotoptix -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.16.1-1
- Package Spec generated
|
