Adding a test that prints out the minimum and maximum successful model runs

import xarray as xr

from pythermogis import calculate_doublet_performance

import pytest

test_files_path = Path(__file__).parent / "resources"

def print_min_max(variable: xr.DataArray):

    print(f"{variable.name}, {np.min(variable):.2f}, {np.max(variable):.2f}")

@pytest.mark.skip("Useful for understanding the range of possible input values, not for pipeline testing")

def test_define_calculation_limits():

    recalculate_results = False

    if recalculate_results: