IO and Post Processing Interface for OpenFAST Results.
Project description
IO and Post Processing Interface for OpenFAST Results.
- Authors:
Jake Nunemaker, Nikhar Abbas
Installation
pCrunch is installable through pip via pip install pCrunch or conda, conda install pCrunch.
Development Setup
To set up pCrunch for development, follow these steps:
Download the latest version of Miniconda for the appropriate OS. Follow the remaining steps for the appropriate OS version.
From the terminal, install pip by running: conda install -c anaconda pip
Next, create a new environment for the project with the following.
conda create -n pcrunch-dev
To activate/deactivate the environment, use the following commands.
conda activate pcrunch-dev conda deactivate pcrunch-dev
Clone the repository: git clone https://github.com/NREL/pCrunch.git
Navigate to the top level of the repository (<path-to-pCrunch>/pCrunch/) and install pCrunch as an editable package with following commands.
pip install -e '.[dev]'
(Preferred) Install the pre-commit hooks to autoformat code, ensuring consistent code style across the repository.
pre-commit install
Examples
For an up to date example of the core functionalities, see example.ipynb. More examples coming soon.
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
File details
Details for the file pCrunch-1.1.0.tar.gz
.
File metadata
- Download URL: pCrunch-1.1.0.tar.gz
- Upload date:
- Size: 5.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 63ceeb499a767170179e4f118d41931ff8d627ff850ff6921a7b3c5c5fcc2b3e |
|
MD5 | 95a27a6263717de4b3b563c18174a0d8 |
|
BLAKE2b-256 | 9be8d3181cc5326afd05d8f159c11a11cdf45e647d275f8498d7d3f42f0ba678 |
File details
Details for the file pCrunch-1.1.0-py3-none-any.whl
.
File metadata
- Download URL: pCrunch-1.1.0-py3-none-any.whl
- Upload date:
- Size: 6.0 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bd5516cb06d34adfaa5958805aef0562950f68bebd3ab9373396c022aba1545d |
|
MD5 | 4f48a66afd4f5ff020c6a0b3e51a2736 |
|
BLAKE2b-256 | 13786fe09240756419be6f950935897785f5793eeb214404349b2028dd288541 |