Merge branch '4-add-in-the-extra-tests' into 'main'

from pythermogis.physics.temperature_grid_calculation import calculate_temperature_from_gradient

from pythermogis.statistics.calculate_pvalues import generate_thickness_permeability_transmissivity_for_pvalue

from pythermogis.thermogis_classes.java_start import start_jvm

from pythermogis.thermogis_classes.java_start import start_jvm, close_jvm

def calculate_performance_of_single_location(hydrocarbons: float, depth: float, thickness: float, porosity: float, ntg: float, temperature: float, transmissivity: float, transmissivity_with_ntg: float, doublet=None,

    """

    if p_values is None:

        p_values = [50.0]

    if input_params is None:    # If input parameters is none; then setup the BaseCase parameters

        input_params = {"hp_minimum_injection_temperature": 15,

    # Input parameters

    input_params_basecase = {"hp_minimum_injection_temperature": 15,

                    "return_temperature": 30,

                    "surface_temperature": 10,

                    "degrees_per_km": 31,

                    "utc_cutoff_shallow": 5.1,

                    "utc_cutoff_deep": 6.5,

                    "utc_cutoff_depth": 4000.0}

    if input_params is None:    # If no input_params provided, use the basecase

        input_params = input_params_basecase

    else:

        input_params = {key: input_params.get(key, input_params_basecase[key]) for key in input_params_basecase}

    if "temperature" not in input_data:

        input_data["temperature"] = calculate_temperature_from_gradient(input_data.depth, input_data.thickness_mean, input_params["degrees_per_km"], input_params["surface_temperature"])

    # Instantiate the UTC properties class

    propsBuilder = UTCPropertiesBuilder()

    utc_properties = propsBuilder.build()

    utc_properties = propsBuilder.setUseHeatPump(input_params["use_heat_pump"]).setUseStimulation(input_params["use_stimulation"]).build()

    # Instantiate random number generator:

    if rng_seed is None:

        flow_rate_data.append(output_data_arrays[10])

        welld_data.append(output_data_arrays[11])

    # close the jvm

    close_jvm()

    output_data["power"] = (output_data.coords, power_data)

    output_data["heat_pump_power"] = (output_data.coords, heat_pump_power_data)

    output_data["capex"] = (output_data.coords, capex_data)

    if not jpype.isJVMStarted():

        jpype.startJVM(get_jvm_path(), classpath=[get_thermogis_jar_path()])

def close_jvm():

    """

    To use the JPype package a java .jar file has to be instantiated with a java virtual machine (jvm)

    This method ensures a clean startup of the jvm packaged with this repo

    :return:

    """

    if jpype.isJVMStarted():

        jpype.shutdownJVM()

if __name__ == "__main__":

    start_jvm()

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