remove back compatibility files for version 0.2

tests/test_equation/test_equation.py

@@ -0,0 +1,49 @@
+from pina.equation import Equation
+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():
+    Equation(eq1)
+    Equation(eq2)
+    with pytest.raises(ValueError):
+        Equation([1, 2, 4])
+    with pytest.raises(ValueError):
+        Equation(foo())
+
+
+def test_residual():
+    eq_1 = Equation(eq1)
+    eq_2 = Equation(eq2)
+
+    pts = LabelTensor(torch.rand(10, 2), labels=["x", "y"])
+    pts.requires_grad = True
+    u = torch.pow(pts, 2)
+    u.labels = ["u1", "u2"]
+
+    eq_1_res = eq_1.residual(pts, u)
+    eq_2_res = eq_2.residual(pts, u)
+
+    assert eq_1_res.shape == torch.Size([10, 2])
+    assert eq_2_res.shape == torch.Size([10, 1])