Rename files

tests/test_equations/test_system_equation.py

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+from pina.equation import SystemEquation
+from pina.operator import grad, laplacian
+from pina import LabelTensor
+import torch
+import pytest
+
+
+def eq1(input_, output_):
+    u_grad = grad(output_, input_)
+    u1_xx = grad(u_grad, input_, components=['du1dx'], d=['x'])
+    u2_xy = grad(u_grad, input_, components=['du2dx'], d=['y'])
+    return torch.hstack([u1_xx, u2_xy])
+
+
+def eq2(input_, output_):
+    force_term = (torch.sin(input_.extract(['x']) * torch.pi) *
+                  torch.sin(input_.extract(['y']) * torch.pi))
+    delta_u = laplacian(output_.extract(['u1']), input_)
+    return delta_u - force_term
+
+
+def foo():
+    pass
+
+
+def test_constructor():
+    SystemEquation([eq1, eq2])
+    SystemEquation([eq1, eq2], reduction='sum')
+    with pytest.raises(NotImplementedError):
+        SystemEquation([eq1, eq2], reduction='foo')
+    with pytest.raises(ValueError):
+        SystemEquation(foo)
+
+
+def test_residual():
+
+    pts = LabelTensor(torch.rand(10, 2), labels=['x', 'y'])
+    pts.requires_grad = True
+    u = torch.pow(pts, 2)
+    u.labels = ['u1', 'u2']
+
+    eq_1 = SystemEquation([eq1, eq2], reduction='mean')
+    res = eq_1.residual(pts, u)
+    assert res.shape == torch.Size([10])
+
+    eq_1 = SystemEquation([eq1, eq2], reduction='sum')
+    res = eq_1.residual(pts, u)
+    assert res.shape == torch.Size([10])
+
+    eq_1 = SystemEquation([eq1, eq2], reduction=None)
+    res = eq_1.residual(pts, u)
+    assert res.shape == torch.Size([10, 3])
+
+    eq_1 = SystemEquation([eq1, eq2])
+    res = eq_1.residual(pts, u)
+    assert res.shape == torch.Size([10, 3])