🏗 WORK IN PROGRESS (STRESS review and update 2024/25) 🏗️
A review and update of the Strengthening the Reporting of Empirical Simulation Studies guidelines for DES, SD, and ABS. It aims to improve the STRESS reporting guidelines and provide additional support for Hybrid Simulation.
To - do add FA, et al ORCID badges
TODO: Add in statement about FM funding from BS.
Either clone the repository using git or click on the green "code" button and select "Download Zip".
git clone https://github.com/pythonhealthdatascience/stress_update
this assumes you have installed git and setup SSH
All dependencies can be found in environment.yml and are pulled from conda-forge. To run the code locally, we recommend installing miniforge.
miniforge is FOSS alternative to Anaconda and miniconda that uses conda-forge as the default channel for packages. It installs both conda and mamba (a drop in replacement for conda) package managers. We recommend mamba for faster resolving of dependencies and installation of packages.
navigating your terminal (or cmd prompt) to the directory containing the repo and issuing the following command:
if you are using conda then replace
mambawithconda.
mamba env create -f environment.yml
Activate the mamba environment using the following command:
mamba activate stress
The stress environment contains code linting and formatting tools: nbqa, flake8 and black. Use nbqa and black to autoformat jupyter notebooks from a terminal or cmd prompt:
nbqa black notebooks/<insert-notebook-name>.ipynb
Use flake8 to issue a report about code quality:
nbqa flake8 notebooks/<insert-notebook-name>.ipynb
Some notes on linting code: https://www.pythonhealthdatascience.com/content/001_setup/prereq/05_pep8.html