import time import pytest import json import sys import igl import numpy as np sys.path.append('../') sys.path.append('../src') from elasticsolid import * from elasticenergy import * eps = 1E-6 with open('test_data2.json', 'r') as infile: homework_datas = json.load(infile) @pytest.mark.timeout(0.5) @pytest.mark.parametrize("data", homework_datas[0]) def test_linear_psi(data): young, poisson, F, psi_gt = data ee = LinearElasticEnergy(young, poisson) print(np.array(F).shape) ee.make_strain_tensor(np.array(F)) ee.make_energy_density(np.array(F)) assert np.linalg.norm(ee.psi - np.array(psi_gt)) < eps @pytest.mark.timeout(0.5) @pytest.mark.parametrize("data", homework_datas[1]) def test_linear_strain(data): young, poisson, F, E_gt = data ee = LinearElasticEnergy(young, poisson) ee.make_strain_tensor(np.array(F)) print(np.array(E_gt).shape, np.array(E_gt)[0]) assert np.linalg.norm(ee.E - np.array(E_gt)) < eps @pytest.mark.timeout(0.5) @pytest.mark.parametrize("data", homework_datas[2]) def test_linear_stress(data): young, poisson, F, P_gt = data ee = LinearElasticEnergy(young, poisson) ee.make_strain_tensor(np.array(F)) ee.make_piola_kirchhoff_stress_tensor(np.array(F)) assert np.linalg.norm(ee.P - np.array(P_gt)) < eps @pytest.mark.timeout(0.5) @pytest.mark.parametrize("data", homework_datas[3]) def test_neo_psi(data): young, poisson, F, psi_gt = data ee = NeoHookeanElasticEnergy(young, poisson) ee.make_energy_density(np.array(F)) assert np.linalg.norm(ee.psi - np.array(psi_gt)) < eps @pytest.mark.timeout(0.5) @pytest.mark.parametrize("data", homework_datas[4]) def test_neo_stress(data): young, poisson, F, P_gt, logJ_gt, Finv_gt = data ee = NeoHookeanElasticEnergy(young, poisson) ee.make_piola_kirchhoff_stress_tensor(np.array(F)) assert np.linalg.norm(ee.P - np.array(P_gt)) < eps assert np.linalg.norm(ee.logJ - np.array(logJ_gt)) < eps assert np.linalg.norm(ee.Finv - np.array(Finv_gt)) < eps @pytest.mark.timeout(0.5) @pytest.mark.parametrize("data", homework_datas[5]) def test_energy_el(data): etype, young, poisson, v, t, rho, pin_idx, force_mass, v_def, ee_gt = data if etype == "linear": ee = LinearElasticEnergy(young, poisson) else: ee = NeoHookeanElasticEnergy(young, poisson) es = ElasticSolid(np.array(v), np.array(t), ee, rho=rho, pin_idx=np.array(pin_idx), f_mass=np.array(force_mass)) es.update_def_shape(np.array(v_def)) assert np.linalg.norm(es.energy_el - np.array(ee_gt)) < eps @pytest.mark.timeout(0.5) @pytest.mark.parametrize("data", homework_datas[6]) def test_forces_el(data): etype, young, poisson, v, t, rho, pin_idx, force_mass, v_def, ef_gt = data if etype == "linear": ee = LinearElasticEnergy(young, poisson) else: ee = NeoHookeanElasticEnergy(young, poisson) es = ElasticSolid(np.array(v), np.array(t), ee, rho=rho, pin_idx=np.array(pin_idx), f_mass=np.array(force_mass)) es.update_def_shape(np.array(v_def)) assert np.linalg.norm(es.f - np.array(ef_gt)) < eps @pytest.mark.timeout(0.5) @pytest.mark.parametrize("data", homework_datas[7]) def test_energy_ext(data): etype, young, poisson, v, t, rho, pin_idx, force_mass, v_def, exte_gt = data if etype == "linear": ee = LinearElasticEnergy(young, poisson) else: ee = NeoHookeanElasticEnergy(young, poisson) es = ElasticSolid(np.array(v), np.array(t), ee, rho=rho, pin_idx=np.array(pin_idx), f_mass=np.array(force_mass)) es.update_def_shape(np.array(v_def)) assert np.linalg.norm(es.energy_ext - np.array(exte_gt)) < eps @pytest.mark.timeout(0.5) @pytest.mark.parametrize("data", homework_datas[8]) def test_forces_ext(data): etype, young, poisson, v, t, rho, pin_idx, force_mass, v_def, fext_gt, fvol_gt = data if etype == "linear": ee = LinearElasticEnergy(young, poisson) else: ee = NeoHookeanElasticEnergy(young, poisson) es = ElasticSolid(np.array(v), np.array(t), ee, rho=rho, pin_idx=np.array(pin_idx), f_mass=np.array(force_mass)) es.update_def_shape(np.array(v_def)) assert np.linalg.norm(es.f_ext - np.array(fext_gt)) < eps assert np.linalg.norm(es.f_vol - np.array(fvol_gt)) < eps