pyincore 1.22.0

IN-CORE analysis tool python package

pyIncore is a component of IN-CORE. It is a python package consisting of two primary components: 1) a set of service classes to interact with the IN-CORE web services described below, and 2) IN-CORE analyses. The pyIncore allows users to apply various hazards to infrastructure in selected areas, propagating the effect of physical infrastructure damage and loss of functionality to social and economic impacts.

Installation with conda

Installing pyincore with Conda is officially supported by IN-CORE development team.

To add conda-forge channel to your environment, run

conda config –-add channels conda-forge

To install pyincore package, run

conda install -c in-core pyincore

To update pyIncore, run

conda update -c in-core pyincore

You can find detail information at the Installation section at IN-CORE manual.

Installation with pip

Installing pyincore with pip is NOT supported by IN-CORE development team. Please use pip for installing pyincore at your discretion.

Installing pyincore with pip is only tested on linux environment.

Prerequisite

• GDAL C library must be installed to install pyincore. (for Ubuntu, gdal-bin and libgdal-dev)

• ipopt executable must be installed to run some analyses such as seaside CGE, joplin CGE, etc.

• For developers, pre-install must be installed. If not, run brew install pre-commit or pip install pre-commit.

To install pyincore package, run

pip install pyincore

Testing and Running

Please read the Testing and Running section at IN-CORE manual.

Documentation

pyIncore documentation can be found at https://tools.in-core.org/doc/incore/pyincore.html

pyIncore technical reference (API) can be found at https://tools.in-core.org/doc/pyincore/.

Acknowledgement

This work herein was supported by the National Institute of Standards and Technology (NIST) (Award No. 70NANB15H044). This support is gratefully acknowledged. The views expressed in this work are those of the authors and do not necessarily reflect the views of NIST.