import unittest import numpy as np from extreme_fit.model.margin_model.linear_margin_model.linear_margin_model import LinearAllParametersAllDimsMarginModel from extreme_fit.function.margin_function.abstract_margin_function import \ AbstractMarginFunction from extreme_fit.function.margin_function.linear_margin_function import LinearMarginFunction from extreme_fit.model.utils import set_seed_for_test from spatio_temporal_dataset.coordinates.spatial_coordinates.coordinates_1D import UniformSpatialCoordinates, \ LinSpaceSpatialCoordinates from spatio_temporal_dataset.coordinates.spatial_coordinates.coordinates_2D import LinSpaceSpatial2DCoordinates from test.test_utils import load_test_spatiotemporal_coordinates, load_test_temporal_coordinates, \ load_test_spatial_coordinates class MarginFunction(unittest.TestCase): nb_points = 2 margin_function_class = LinearMarginFunction margin_model_class = LinearAllParametersAllDimsMarginModel def test_coef_dict_spatio_temporal_coordinates(self): set_seed_for_test(seed=41) coordinates = load_test_spatiotemporal_coordinates(self.nb_points, self.nb_points)[0] margin_model = self.margin_model_class(coordinates) # Test to check loading of margin function from coef dict coef_dict = {'locCoeff1': 0, 'locCoeff2': 2, 'scaleCoeff1': 0, 'scaleCoeff2': 2, 'shapeCoeff1': 0, 'shapeCoeff2': 2, 'tempCoeffLoc1': 1, 'tempCoeffScale1': 1, 'tempCoeffShape1': 1} margin_function = self.margin_function_class.from_coef_dict(coordinates, margin_model.margin_function_sample.gev_param_name_to_dims, coef_dict) gev_param = margin_function.get_params(coordinate=np.array([0.5, 1.0]), is_transformed=False) self.assertEqual({'loc': 2, 'scale': 2, 'shape': 2}, gev_param.to_dict()) def test_coef_dict_spatial_coordinates(self): coordinates = LinSpaceSpatialCoordinates.from_nb_points(nb_points=self.nb_points+1, start=1, end=3) margin_model = self.margin_model_class(coordinates) # Test to check loading of margin function from coef dict coef_dict = { 'locCoeff1': 2, 'locCoeff2': 1, 'scaleCoeff1': 0, 'scaleCoeff2': 1, 'shapeCoeff1': 0, 'shapeCoeff2': 1} margin_function = self.margin_function_class.from_coef_dict(coordinates, margin_model.margin_function_sample.gev_param_name_to_dims, coef_dict) gev_param = margin_function.get_params(coordinate=np.array([1]), is_transformed=False) self.assertEqual({'loc': 3, 'scale': 1, 'shape': 1}, gev_param.to_dict()) if __name__ == '__main__': unittest.main()