Use this option for development, or if you simply want faster computations (your typical laptop is 10x faster than Google's free offering).
If you're an expert, setup a python environment however you like. Otherwise: Install Anaconda, then open the Anaconda terminal and run the following commands:
conda create --yes --name my-env python=3.10
conda activate my-env
python --version
Ensure the printed version is 3.10 or higher.
Keep using the same terminal for the commands below.
git clone
this repository (see the green button up top).
You could instead download & unzip, but then you will have to manually download any later updates.- Move the resulting folder wherever you like
cd
into the folder- Install requirements:
pip install -r [path/to/]requirements-dev.txt
- Launch the "notebook server" by executing:
jupyter notebook
This will open up a page in your web browser that is a file navigator. - Click on
HistoryMatch.ipynb
.
I prefer to develop mostly in the format of standard python script,
which is why each notebook corresponds to a .py
file synced via jupytext.
The synchronization is done whenever the notebook is saved.
Also, if you run pre-commit install
,
then the notebooks will get synced with the .py
files before committing.
Linting (which is, as of now, just a suggestion) can be run with
ruff check --output-format=grouped
.
This work has been developed by Patrick N. Raanes, researcher at NORCE. The project has been funded by DIGIRES, a project sponsored by industry partners and the PETROMAKS2 programme of the Research Council of Norway.
![](https://github.com/nansencenter/DAPPER/raw/master/docs/imgs/norce-logo.png)
![](/patnr/HistoryMatching/raw/master/remedy.png?raw=true)