A toolkit and python library for modelling at Geothermal Institute, University of Auckland.
Project description
gimu
A minimal toolkit and python library for modelling at Geothermal Institute, University of Auckland.
Table of Contents
Installation
pip install -U gimu
If you use conda, use the supplied environment.yml to create py311-gimu. This installs packages using conda as much as possible before installing packages from PyPI.
conda env create -f environment.yml
Commands
Convert SAVE file to INCON file
save2incon a.save b.incon
NOTE this command is used during the scenario run.
License
gimu is distributed under the terms of the MIT license.
Developer
Build and Publish
To bump version, create a tag, eg. v0.1.0
PyPI token is expected in ~/.pypirc
If upload for the first time, create a PyPI account token, then add the token into ~/.pypirc. Build and publish as normal, the PyPI project will be created on first upload. Then revoke the account token. Create a project token for later publishes.
Publish to PyPI:
hatch build
hatch publish
TODO
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file gimu-0.4.0.tar.gz.
File metadata
- Download URL: gimu-0.4.0.tar.gz
- Upload date:
- Size: 20.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a96244e1b8324ec4a7725be6b629fcbf29c390bf1782a885ad7a0979ced92067
|
|
| MD5 |
99ab91e795bb66bce31d6a1dfa1d8f2d
|
|
| BLAKE2b-256 |
547a0873c63817192d142a25eb49f8f7b1187cdd933ed7316b2f081c7d8ab123
|
File details
Details for the file gimu-0.4.0-py3-none-any.whl.
File metadata
- Download URL: gimu-0.4.0-py3-none-any.whl
- Upload date:
- Size: 24.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7fb716767c718d2d947a6019dc01638acb1ca1ef14f3a144407c81a57cc091d6
|
|
| MD5 |
cd4c9c60fc96b9311493a2ea67914f28
|
|
| BLAKE2b-256 |
6b1bd136f2f8eeec21b95ee613675dcfb763012c4ceef38d5201f9bc73a24bb7
|