parameters_testing_inverse.py

"""
This module is testing the impact the change of input parameters
    has to the result (the time and error of the simulation)
"""

import numpy as np  # type: ignore

from parameters_testing_utilities import aggregate_all_tests
from heat_transfer_simulation_inverse import create_and_run_simulation


def perform_tests():
    """
    Running all the test scenarios defined withing it
    """

    no_of_repetitions = 3
    steps = 200

    # Defining all the scenarios we want to test
    testing_scenarios = [
        {
            "parameter": "number_of_elements",
            "values": list(map(int, np.linspace(1, 1000, steps)))
            # "values": range(1, 100, 50)
        },
        {
            "parameter": "dt",
            "values": list(map(int, np.linspace(1, 1000, steps)))
            # "values": range(20, 120, 50)
        },
        {
            "parameter": "theta",
            "values": np.linspace(0.5, 1.0, steps)
            # "values": np.arange(0.5, 1.0, 0.2)
        },
        {
            "parameter": "window_span",
            "values": np.arange(1, 20, 1)
            # "values": range(2, 10)
        },
        {
            "parameter": "tolerance",
            "values": np.logspace(-5, -1, num=20, base=10)
            # "values": np.logspace(-5, -1, num=3, base=10)
        },
        {
            "parameter": "adjusting_value",
            "values": np.arange(-0.99, -0.00, 0.02)
        },
        {
            "parameter": "init_q_adjustment",
            "values": np.arange(1, 50, 0.5)
        }
    ]

    aggregate_all_tests(simulation_func=create_and_run_simulation,
                        testing_scenarios=testing_scenarios,
                        no_of_repetitions=no_of_repetitions,
                        description="inverse")


if __name__ == '__main__':
    perform_tests()