Installation

Pyropython is a command line tool written in python. You will need access to the command line, a python distribution (e.g. anaconda), git version control software and a text editor (e.g. atom).

The sources to pyropython are available at https://github.com/PyroId/PyroPython. Download the sources.

git clone https://github.com/PyroId/PyroPython.git  PyroPython

In the download directory type:

python setup.py develop

The above command installs a development version of the software. This means that if you modify the source you just downloaded, you do not need to install the software again.

Prerequisites

1. FDS
2. Python 3
3. Python packages: Numpy, Scipy, Matplotlib, pandas, yaml, scikit-learn, scikit-optimize, Jinja2

Probably the easiest way to install the prerequisites

1. Install Anaconda (or miniconda) [https://www.anaconda.com/download/]
2. Type:

conda install pandas scikit-learn jinja2
conda install -c conda-forge scikit-optimize

Matplotlib and numpy should already be included in the download of anaconda, if you downloaded miniconda or otherwise are missing packages:

conda install numpy scipy matplotlib
pip install pyDOE

pyDOE is needed for lhs sampling. Test installation by typing:

pyropython -h

This should output the following help message

usage: pyropython [-h] [-v VERBOSITY] [-n NUM_JOBS] [-m MAX_ITER]
              [-i NUM_INITIAL] [-p NUM_POINTS]
              fname

positional arguments:
fname                 Input file name

optional arguments:
-h, --help            show this help message and exit
-v VERBOSITY, --verbosity VERBOSITY
                    increase output verbosity
-n NUM_JOBS, --num_jobs NUM_JOBS
                    number of concurrent jobs
-m MAX_ITER, --max_iter MAX_ITER
                    maximum number of iterations
-i NUM_INITIAL, --num_initial NUM_INITIAL
                    number of points in initial design
-p NUM_POINTS, --num_points NUM_POINTS
                    number of points per iteration