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cs457-gc/assignment_2_3/test/test.py

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+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_data3.json', 'r') as infile:
+    homework_datas = json.load(infile)
+
+@pytest.mark.timeout(0.5)
+@pytest.mark.parametrize("data", homework_datas[0])
+def test_linear_dE(data):
+    young, poisson, F, dF, dE_gt = data
+    ee = LinearElasticEnergy(young, poisson)
+    ee.make_differential_strain_tensor(np.array(F), np.array(dF))
+    assert np.linalg.norm(ee.dE - np.array(dE_gt)) < eps
+
+@pytest.mark.timeout(0.5)
+@pytest.mark.parametrize("data", homework_datas[1])
+def test_linear_dP(data):
+    young, poisson, F, dF, dE, dP_gt = data
+    ee = LinearElasticEnergy(young, poisson)
+    ee.dE = np.array(dE)
+    ee.make_differential_piola_kirchhoff_stress_tensor(np.array(F), np.array(dF))
+    assert np.linalg.norm(ee.dP - np.array(dP_gt)) < eps
+
+@pytest.mark.timeout(0.5)
+@pytest.mark.parametrize("data", homework_datas[2])
+def test_neo_dP(data):
+    young, poisson, F, dF, dP_gt = data
+    ee = NeoHookeanElasticEnergy(young, poisson)
+    ee.logJ = np.log(np.linalg.det(np.array(F)))
+    ee.Finv = np.linalg.inv(np.array(F))
+    ee.make_differential_piola_kirchhoff_stress_tensor(np.array(F), np.array(dF))
+    assert np.linalg.norm(ee.dP - np.array(dP_gt)) < eps
+
+@pytest.mark.timeout(0.5)
+@pytest.mark.parametrize("data", homework_datas[3])
+def test_force_differentials(data):
+    etype, young, poisson, v, t, rho, pin_idx, force_mass, v_def, dx, df_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=pin_idx, f_mass=np.array(force_mass))
+    es.update_def_shape(np.array(v_def))
+    
+    assert np.linalg.norm(es.compute_force_differentials(np.array(dx)) - np.array(df_gt)) < eps
+
+@pytest.mark.timeout(1)
+@pytest.mark.parametrize("data", homework_datas[4])
+def test_CG(data):
+    A, RHS, dx_gt = data
+    A = np.array(A)
+
+    def LHS(dx_):
+        return A@dx_
+    assert np.linalg.norm(conjugate_gradient(LHS, np.array(RHS)) - np.array(dx_gt)) < eps
+
+@pytest.mark.timeout(1)
+@pytest.mark.parametrize("data", homework_datas[5])
+def test_lhs_rhs(data):
+    etype, young, poisson, v, t, rho, pin_idx, force_mass, v_def, dx, lhsdx_gt, rhs_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=pin_idx, f_mass=np.array(force_mass))
+    es.update_def_shape(np.array(v_def))
+    es.equilibrium_step(max_l_iter=0)
+
+    
+    assert np.linalg.norm(es.LHS(np.array(dx)) - np.array(lhsdx_gt)) < eps
+    print(es.RHS, rhs_gt)
+    assert np.linalg.norm(es.RHS - rhs_gt) < eps