pCrunch 1.0.1

IO and Post Processing Interface for OpenFAST Results.

IO and Post Processing Interface for OpenFAST Results.

Version:

0.2.0

Authors:

Jake Nunemaker, Nikhar Abbas

Installation

pCrunch is installable through pip via pip install pCrunch.

Development Setup

To set up pCrunch for development, follow these steps:

1. Download the latest version of Miniconda for the appropriate OS. Follow the remaining steps for the appropriate OS version.

2. From the terminal, install pip by running: conda install -c anaconda pip

3. Next, create a new environment for the project with the following.

   conda create -n pcrunch-dev python=3.7

   To activate/deactivate the environment, use the following commands.

   conda activate pcrunch-dev
   conda deactivate pcrunch-dev

4. Clone the repository: git clone https://github.com/NREL/pCrunch.git

5. 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]'

6. (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.

Other Scripts

Warning: These scripts have not been updated since the move to version 0.2.0.

There are also several utility scripts provided in this repo. The HPC_tools folder contains utility functions for working on the NREL HPC. postProcessing contains a script for analyzing the results of multiple runs.