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|
%global _empty_manifest_terminate_build 0
Name: python-osyris
Version: 2.10.1
Release: 1
Summary: A package to visualize AMR data from the RAMSES code
License: BSD
URL: https://github.com/osyris-project/osyris
Source0: https://mirrors.aliyun.com/pypi/web/packages/be/25/e30021dfa8bf89eef1fdb44bd49ad5a16362b51442eed6b5c4cc427b4a79/osyris-2.10.1.tar.gz
BuildArch: noarch
Requires: python3-matplotlib
Requires: python3-numba
Requires: python3-numpy
Requires: python3-pint
%description
[](https://osyris.readthedocs.io/en/stable/?badge=latest)
[](https://gitter.im/osyris-project?utm_source=badge&utm_medium=badge&utm_content=badge)
# Osyris
A python visualization utility for RAMSES astrophysical simulations data.
Osyris aims to remain portable, lightweight and fast,
to allow users to quickly explore and understand their simulation data,
as well as produce publication grade figures.
## Documentation
The documentation for `osyris` can be found at https://osyris.readthedocs.io.
## Installation
```sh
pip install osyris
```
## A short example
You can download the sample data
[here](https://github.com/osyris-project/osyrisdata/archive/refs/heads/main.zip).
Plot a 2D histogram of the cell magnetic field versus the gas density.
```python
import osyris
data = osyris.Dataset(8, scale="au", path="data").load()
osyris.histogram2d(data["hydro"]["density"], data["hydro"]["B_field"],
norm="log", loglog=True)
```
Create a 2D gas density map 2000 au wide through the plane normal to ``z``,
with velocity vectors overlayed as arrows, once again using ``layers``:
```python
ind = np.argmax(data["hydro"]["density"])
center = data["amr"]["position"][ind.values]
osyris.map({"data": data["hydro"]["density"], "norm": "log"}, # layer 1
{"data": data["hydro"]["velocity"], "mode": "vec"}, # layer 2
dx=2000 * osyris.units("au"),
origin=center,
direction="z")
```
## Have a problem or need a new feature?
- Bug reports or feature requests should be submitted by opening an [issue](https://github.com/osyris-project/osyris/issues)
- For general discussions or questions about how to do something with `osyris`, start a new [discussion](https://github.com/osyris-project/osyris/discussions)
## Logo credit
[Icon vector created by frimufilms - www.freepik.com](https://www.freepik.com/free-photos-vectors/icon)
%package -n python3-osyris
Summary: A package to visualize AMR data from the RAMSES code
Provides: python-osyris
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-osyris
[](https://osyris.readthedocs.io/en/stable/?badge=latest)
[](https://gitter.im/osyris-project?utm_source=badge&utm_medium=badge&utm_content=badge)
# Osyris
A python visualization utility for RAMSES astrophysical simulations data.
Osyris aims to remain portable, lightweight and fast,
to allow users to quickly explore and understand their simulation data,
as well as produce publication grade figures.
## Documentation
The documentation for `osyris` can be found at https://osyris.readthedocs.io.
## Installation
```sh
pip install osyris
```
## A short example
You can download the sample data
[here](https://github.com/osyris-project/osyrisdata/archive/refs/heads/main.zip).
Plot a 2D histogram of the cell magnetic field versus the gas density.
```python
import osyris
data = osyris.Dataset(8, scale="au", path="data").load()
osyris.histogram2d(data["hydro"]["density"], data["hydro"]["B_field"],
norm="log", loglog=True)
```
Create a 2D gas density map 2000 au wide through the plane normal to ``z``,
with velocity vectors overlayed as arrows, once again using ``layers``:
```python
ind = np.argmax(data["hydro"]["density"])
center = data["amr"]["position"][ind.values]
osyris.map({"data": data["hydro"]["density"], "norm": "log"}, # layer 1
{"data": data["hydro"]["velocity"], "mode": "vec"}, # layer 2
dx=2000 * osyris.units("au"),
origin=center,
direction="z")
```
## Have a problem or need a new feature?
- Bug reports or feature requests should be submitted by opening an [issue](https://github.com/osyris-project/osyris/issues)
- For general discussions or questions about how to do something with `osyris`, start a new [discussion](https://github.com/osyris-project/osyris/discussions)
## Logo credit
[Icon vector created by frimufilms - www.freepik.com](https://www.freepik.com/free-photos-vectors/icon)
%package help
Summary: Development documents and examples for osyris
Provides: python3-osyris-doc
%description help
[](https://osyris.readthedocs.io/en/stable/?badge=latest)
[](https://gitter.im/osyris-project?utm_source=badge&utm_medium=badge&utm_content=badge)
# Osyris
A python visualization utility for RAMSES astrophysical simulations data.
Osyris aims to remain portable, lightweight and fast,
to allow users to quickly explore and understand their simulation data,
as well as produce publication grade figures.
## Documentation
The documentation for `osyris` can be found at https://osyris.readthedocs.io.
## Installation
```sh
pip install osyris
```
## A short example
You can download the sample data
[here](https://github.com/osyris-project/osyrisdata/archive/refs/heads/main.zip).
Plot a 2D histogram of the cell magnetic field versus the gas density.
```python
import osyris
data = osyris.Dataset(8, scale="au", path="data").load()
osyris.histogram2d(data["hydro"]["density"], data["hydro"]["B_field"],
norm="log", loglog=True)
```
Create a 2D gas density map 2000 au wide through the plane normal to ``z``,
with velocity vectors overlayed as arrows, once again using ``layers``:
```python
ind = np.argmax(data["hydro"]["density"])
center = data["amr"]["position"][ind.values]
osyris.map({"data": data["hydro"]["density"], "norm": "log"}, # layer 1
{"data": data["hydro"]["velocity"], "mode": "vec"}, # layer 2
dx=2000 * osyris.units("au"),
origin=center,
direction="z")
```
## Have a problem or need a new feature?
- Bug reports or feature requests should be submitted by opening an [issue](https://github.com/osyris-project/osyris/issues)
- For general discussions or questions about how to do something with `osyris`, start a new [discussion](https://github.com/osyris-project/osyris/discussions)
## Logo credit
[Icon vector created by frimufilms - www.freepik.com](https://www.freepik.com/free-photos-vectors/icon)
%prep
%autosetup -n osyris-2.10.1
%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-osyris -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 2.10.1-1
- Package Spec generated
|
