import unittest import numpy as np from extreme_fit.model.margin_model.linear_margin_model.linear_margin_model import LinearAllParametersAllDimsMarginModel from extreme_fit.model.margin_model.margin_function.abstract_margin_function import \ AbstractMarginFunction from extreme_fit.model.margin_model.margin_function.linear_margin_function import LinearMarginFunction from spatio_temporal_dataset.coordinates.spatial_coordinates.coordinates_2D import LinSpaceSpatial2DCoordinates from test.test_utils import load_test_spatiotemporal_coordinates class MarginFunction(unittest.TestCase): nb_points = 2 margin_function_class = LinearMarginFunction margin_model_class = LinearAllParametersAllDimsMarginModel def test_grid_2D_orientation(self): # Assert that the grid correspond to what we expect in a simple case margin_model = self.margin_model_class(LinSpaceSpatial2DCoordinates.from_nb_points(nb_points=self.nb_points)) AbstractMarginFunction.VISUALIZATION_RESOLUTION = 2 grid = margin_model.margin_function_sample.grid_2D()['loc'] true_grid = np.array([[0.98, 1.0], [1.0, 1.02]]) self.assertTrue((grid == true_grid).all(), msg="\nexpected:\n{}, \nfound:\n{}".format(true_grid, grid)) def test_coef_dict(self): 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': 1, 'scaleCoeff1': 0, 'scaleCoeff2': 1, 'shapeCoeff1': 0, 'shapeCoeff2': 1, 'tempCoeffLoc1': 1, 'tempCoeffScale1': 1, 'tempCoeffShape1': 1} self.margin_function_class.from_coef_dict(coordinates, margin_model.margin_function_sample.gev_param_name_to_dims, coef_dict)