To obtain the latest development version, clone this repository:
git clone https://github.com/CWorthy-ocean/C-Star.git
cd C-Star
Next, install one of the following conda environments, depending on whether you are working on a supported HPC system (environment management by Linux Environment Modules) or a generic machine like a laptop (environment managed by conda):
conda env create -f ci/environment_hpc.yml # conda environment for supported HPC system
# conda env create -f ci/environment.yml # conda environment for generic machine
Activate the conda environment:
conda activate cstar_env
Finally, install C-Star
in the same environment:
pip install -e .
Before running the tests, you can activate the conda environment created in the previous section:
conda activate cstar_env
Check the installation of C-Star
has worked by running the test suite
cd C-Star
pytest
To learn how to use C-Star
, check out the documentation.
If you find a bug, have a feature suggestion, or any other kind of feedback, please start a Discussion.
We also accept contributions in the form of Pull Requests.
C-Star is openly available for use and permissively licenced under Apache 2.0.
Copyright 2024 [C]Worthy LLC.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.