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.
Installing pyincore with Conda is officially supported by IN-CORE development team.
To add conda-forge <https://conda-forge.org/>__ channel to your environment, run
.. code-block:: console
conda config –-add channels conda-forge
To install pyincore package, run
.. code-block:: console
conda install -c in-core pyincore
To update pyIncore, run
.. code-block:: console
conda update -c in-core pyincore
You can find detail information at the
Installation <https://incore.ncsa.illinois.edu/doc/incore/pyincore/install_pyincore.html>__
section at IN-CORE manual.
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
brew install pre-commit or pip install pre-commit.To install pyincore package, run
.. code-block:: console
pip install pyincore
Please read the Testing and Running <https://incore.ncsa.illinois.edu/doc/incore/pyincore/running.html>__
section at IN-CORE manual.
pyIncore documentation can be found at https://incore.ncsa.illinois.edu/doc/incore/pyincore.html
pyIncore technical reference (API) can be found at https://incore.ncsa.illinois.edu/doc/pyincore/.
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.