Metadata-Version: 2.4
Name: dorban
Version: 0.0.3
Summary: A neutron diffusion solver with finite difference and nodal implementations
Author-email: Nuclear RAMP team <nuclear.ramp.dev@gmail.com>
License-Expression: MIT
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: slepc4py
Requires-Dist: petsc4py
Requires-Dist: matplotlib
Requires-Dist: numba
Requires-Dist: multipledispatch
Requires-Dist: more-itertools
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Requires-Dist: pytest-regressions; extra == "test"
Requires-Dist: hypothesis; extra == "test"
Requires-Dist: jupyter; extra == "test"
Requires-Dist: testbook; extra == "test"
Dynamic: license-file

# DORBAN, Diffusion Of Reactors By Analysing Nodes

## Installation

This package uses slepc4py, so one has to have that installed.
Installing slepc, petsc and their wrappers is somewhat convoluted.
The best way to handle this is to install them with conda or mamba.

We are working on a PyPI distribution of our code, but we will try to
build it for conda as well, to make things easier for you.

The reason you can't just pip install this and be done is that pip
installation from source takes about an hour for a well-configured
machine.


