"""
Created on 20 dec. 2010

This file illustrated the use the EMA classes for a contrived example
It's main purpose has been to test the parallel processing functionality

.. codeauthor:: jhkwakkel <j.h.kwakkel (at) tudelft (dot) nl>
"""
from ema_workbench import Model, RealParameter, ScalarOutcome, ema_logging, perform_experiments


def some_model(x1=None, x2=None, x3=None):
    return {"y": x1 * x2 + x3}


if __name__ == "__main__":
    ema_logging.LOG_FORMAT = "[%(name)s/%(levelname)s/%(processName)s] %(message)s"
    ema_logging.log_to_stderr(ema_logging.INFO)

    model = Model("simpleModel", function=some_model)  # instantiate the model

    # specify uncertainties
    model.uncertainties = [
        RealParameter("x1", 0.1, 10),
        RealParameter("x2", -0.01, 0.01),
        RealParameter("x3", -0.01, 0.01),
    ]
    # specify outcomes
    model.outcomes = [ScalarOutcome("y")]

    results = perform_experiments(model, 100)
