%global _empty_manifest_terminate_build 0
Name: python-tofu
Version: 1.7.0
Release: 1
Summary: A python library for Tomography for Fusion
License: MIT
URL: https://github.com/ToFuProject/tofu
Source0: https://mirrors.aliyun.com/pypi/web/packages/47/fb/82b1be64a7651d9fde4d408149ff4fb32d4dd2bfea641ee67d209e8c8e22/tofu-1.7.0.tar.gz
BuildArch: noarch
%description
**tofu** stands for **To**mography for **Fu**sion, it is an IMAS-compatible open-source machine-independent python library.
tofu tries to take an active part in the plasma community open-source python environment, like [PlasmaPy](https://github.com/PlasmaPy/PlasmaPy), with which some degree of interoperability is being implemented.
It aims at providing the **fusion** and **plasma** community with an object-oriented, transparent and documented tool for designing **tomography diagnostics**, computing **synthetic signal** (direct problem) as well as **tomographic inversions** (inverse problem). It gives access to a full 3D description of the diagnostic geometry, thus reducing the impact of geometrical approximations on the direct and, most importantly, on the inverse problem.
**tofu** is relevant for all diagnostics integrating, in a finitie field of view or along a set of lines of sight, a quantity (scalar or vector) for which the plasma can be considered transparent (e.g.: light in the visible, UV, soft and hard X-ray ranges, or electron density for interferometers).
**tofu** is **command-line oriented**, for maximum flexibility and scriptability.
The absence of a GUI is compensated by built-in one-liners for interactive plots.
It has a sphinx-generated [documentation](https://tofuproject.github.io/tofu/index.html), and the code itself is hosted on [GitHub](https://github.com/ToFuProject/tofu).
## Examples Gallery
Here are some examples of what **tofu** can do
#### Built-in one-liners for interactive camera geometry visualization
#### ...both for 1D and 2D cameras, including the basics for multiple reflections handling
#### Built-in plotting of sinograms
#### Basic magnetic field line tracing
#### Multiple 1d profiles interactive plotting
#### Built-in basic data treatment and interactive plotting: svd and spectrograms
**tofu** provides the user with a series of python classes for creating, handling and visualizing a diagnostic geometry, meshes and basis functions,
geometry matrices, pre-treating experimental data and computing tomographic inversions.
Each one of these main tasks is accomplished by a dedicated module in the larger tofu package.
The geometry module is sufficient for diagnostic designing and for a synthetic diagnostic approach (i.e.: computing the integrated signal from a simulated 2D or 3D emissivity).
This geometry module allows in particular:
* To handle linear and toroidal vaccum vessels
* To define apertures and detectors as planar polygons of arbitrary shapes
* To automatically compute the full Volume of Sight (VOS) in 3D of each {detector+aperture(s)} set
* To discretise the VOS for a numerical 3D integration of a simulated emissivity in order to compute the associated signal
It is in this geometrical sense that tofu enables a synthetic diagnostic approach, it does not provide the tools for simulating the emissivity itself (that should be an input, provided by another code).
## IMAS-compatibility
IMAS is a standardized data structure, it comes as an extra layer on the database of any Tokamak to provide a machine-independent way of accessing scientific data.
tofu has built-in advanced classes for handling the interface with IMAS, hold in the imas2tofu sub-package.
It pre-supposes, of course, that IMAS is installed and operational next to your python install, but tofu does not require IMAS to run in general.
If IMAS is not available, tofu will simply display a warning stating that the imas2tofu sub-package is not usable.
tofu can thus easily load and handle multiple IDSs (IMAS data structure units) and provide command-line tools for exporting IMAS data to other general tofu classes (e.g.: Cameras, Plasma2D...) and for interactive plotting.
All tofu objects have methods to facailitate in-python-console introspection, the ``__repr__`` method is overloaded to display relevant information, an dthis is widely used to explore the data loaded from IMAS.
Do you want to use **tofu** on IMAS and don't know where to start?
%package -n python3-tofu
Summary: A python library for Tomography for Fusion
Provides: python-tofu
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-tofu
**tofu** stands for **To**mography for **Fu**sion, it is an IMAS-compatible open-source machine-independent python library.
tofu tries to take an active part in the plasma community open-source python environment, like [PlasmaPy](https://github.com/PlasmaPy/PlasmaPy), with which some degree of interoperability is being implemented.
It aims at providing the **fusion** and **plasma** community with an object-oriented, transparent and documented tool for designing **tomography diagnostics**, computing **synthetic signal** (direct problem) as well as **tomographic inversions** (inverse problem). It gives access to a full 3D description of the diagnostic geometry, thus reducing the impact of geometrical approximations on the direct and, most importantly, on the inverse problem.
**tofu** is relevant for all diagnostics integrating, in a finitie field of view or along a set of lines of sight, a quantity (scalar or vector) for which the plasma can be considered transparent (e.g.: light in the visible, UV, soft and hard X-ray ranges, or electron density for interferometers).
**tofu** is **command-line oriented**, for maximum flexibility and scriptability.
The absence of a GUI is compensated by built-in one-liners for interactive plots.
It has a sphinx-generated [documentation](https://tofuproject.github.io/tofu/index.html), and the code itself is hosted on [GitHub](https://github.com/ToFuProject/tofu).
## Examples Gallery
Here are some examples of what **tofu** can do
#### Built-in one-liners for interactive camera geometry visualization
#### ...both for 1D and 2D cameras, including the basics for multiple reflections handling
#### Built-in plotting of sinograms
#### Basic magnetic field line tracing
#### Multiple 1d profiles interactive plotting
#### Built-in basic data treatment and interactive plotting: svd and spectrograms
**tofu** provides the user with a series of python classes for creating, handling and visualizing a diagnostic geometry, meshes and basis functions,
geometry matrices, pre-treating experimental data and computing tomographic inversions.
Each one of these main tasks is accomplished by a dedicated module in the larger tofu package.
The geometry module is sufficient for diagnostic designing and for a synthetic diagnostic approach (i.e.: computing the integrated signal from a simulated 2D or 3D emissivity).
This geometry module allows in particular:
* To handle linear and toroidal vaccum vessels
* To define apertures and detectors as planar polygons of arbitrary shapes
* To automatically compute the full Volume of Sight (VOS) in 3D of each {detector+aperture(s)} set
* To discretise the VOS for a numerical 3D integration of a simulated emissivity in order to compute the associated signal
It is in this geometrical sense that tofu enables a synthetic diagnostic approach, it does not provide the tools for simulating the emissivity itself (that should be an input, provided by another code).
## IMAS-compatibility
IMAS is a standardized data structure, it comes as an extra layer on the database of any Tokamak to provide a machine-independent way of accessing scientific data.
tofu has built-in advanced classes for handling the interface with IMAS, hold in the imas2tofu sub-package.
It pre-supposes, of course, that IMAS is installed and operational next to your python install, but tofu does not require IMAS to run in general.
If IMAS is not available, tofu will simply display a warning stating that the imas2tofu sub-package is not usable.
tofu can thus easily load and handle multiple IDSs (IMAS data structure units) and provide command-line tools for exporting IMAS data to other general tofu classes (e.g.: Cameras, Plasma2D...) and for interactive plotting.
All tofu objects have methods to facailitate in-python-console introspection, the ``__repr__`` method is overloaded to display relevant information, an dthis is widely used to explore the data loaded from IMAS.
Do you want to use **tofu** on IMAS and don't know where to start?
%package help
Summary: Development documents and examples for tofu
Provides: python3-tofu-doc
%description help
**tofu** stands for **To**mography for **Fu**sion, it is an IMAS-compatible open-source machine-independent python library.
tofu tries to take an active part in the plasma community open-source python environment, like [PlasmaPy](https://github.com/PlasmaPy/PlasmaPy), with which some degree of interoperability is being implemented.
It aims at providing the **fusion** and **plasma** community with an object-oriented, transparent and documented tool for designing **tomography diagnostics**, computing **synthetic signal** (direct problem) as well as **tomographic inversions** (inverse problem). It gives access to a full 3D description of the diagnostic geometry, thus reducing the impact of geometrical approximations on the direct and, most importantly, on the inverse problem.
**tofu** is relevant for all diagnostics integrating, in a finitie field of view or along a set of lines of sight, a quantity (scalar or vector) for which the plasma can be considered transparent (e.g.: light in the visible, UV, soft and hard X-ray ranges, or electron density for interferometers).
**tofu** is **command-line oriented**, for maximum flexibility and scriptability.
The absence of a GUI is compensated by built-in one-liners for interactive plots.
It has a sphinx-generated [documentation](https://tofuproject.github.io/tofu/index.html), and the code itself is hosted on [GitHub](https://github.com/ToFuProject/tofu).
## Examples Gallery
Here are some examples of what **tofu** can do
#### Built-in one-liners for interactive camera geometry visualization
#### ...both for 1D and 2D cameras, including the basics for multiple reflections handling
#### Built-in plotting of sinograms
#### Basic magnetic field line tracing
#### Multiple 1d profiles interactive plotting
#### Built-in basic data treatment and interactive plotting: svd and spectrograms
**tofu** provides the user with a series of python classes for creating, handling and visualizing a diagnostic geometry, meshes and basis functions,
geometry matrices, pre-treating experimental data and computing tomographic inversions.
Each one of these main tasks is accomplished by a dedicated module in the larger tofu package.
The geometry module is sufficient for diagnostic designing and for a synthetic diagnostic approach (i.e.: computing the integrated signal from a simulated 2D or 3D emissivity).
This geometry module allows in particular:
* To handle linear and toroidal vaccum vessels
* To define apertures and detectors as planar polygons of arbitrary shapes
* To automatically compute the full Volume of Sight (VOS) in 3D of each {detector+aperture(s)} set
* To discretise the VOS for a numerical 3D integration of a simulated emissivity in order to compute the associated signal
It is in this geometrical sense that tofu enables a synthetic diagnostic approach, it does not provide the tools for simulating the emissivity itself (that should be an input, provided by another code).
## IMAS-compatibility
IMAS is a standardized data structure, it comes as an extra layer on the database of any Tokamak to provide a machine-independent way of accessing scientific data.
tofu has built-in advanced classes for handling the interface with IMAS, hold in the imas2tofu sub-package.
It pre-supposes, of course, that IMAS is installed and operational next to your python install, but tofu does not require IMAS to run in general.
If IMAS is not available, tofu will simply display a warning stating that the imas2tofu sub-package is not usable.
tofu can thus easily load and handle multiple IDSs (IMAS data structure units) and provide command-line tools for exporting IMAS data to other general tofu classes (e.g.: Cameras, Plasma2D...) and for interactive plotting.
All tofu objects have methods to facailitate in-python-console introspection, the ``__repr__`` method is overloaded to display relevant information, an dthis is widely used to explore the data loaded from IMAS.
Do you want to use **tofu** on IMAS and don't know where to start?
%prep
%autosetup -n tofu-1.7.0
%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-tofu -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot - 1.7.0-1
- Package Spec generated