remove back compatibility files for version 0.2

tests/test_domain/test_exclusion.py

@@ -0,0 +1,76 @@
+import torch
+
+from pina import LabelTensor
+from pina.domain import Exclusion, EllipsoidDomain, CartesianDomain
+
+
+def test_constructor_two_CartesianDomains():
+    Exclusion(
+        [
+            CartesianDomain({"x": [0, 2], "y": [0, 2]}),
+            CartesianDomain({"x": [1, 3], "y": [1, 3]}),
+        ]
+    )
+
+
+def test_constructor_two_3DCartesianDomain():
+    Exclusion(
+        [
+            CartesianDomain({"x": [0, 2], "y": [0, 2], "z": [0, 2]}),
+            CartesianDomain({"x": [1, 3], "y": [1, 3], "z": [1, 3]}),
+        ]
+    )
+
+
+def test_constructor_three_CartesianDomains():
+    Exclusion(
+        [
+            CartesianDomain({"x": [0, 2], "y": [0, 2]}),
+            CartesianDomain({"x": [1, 3], "y": [1, 3]}),
+            CartesianDomain({"x": [2, 4], "y": [2, 4]}),
+        ]
+    )
+
+
+def test_is_inside_two_CartesianDomains():
+    pt_1 = LabelTensor(torch.tensor([[0.5, 0.5]]), ["x", "y"])
+    pt_2 = LabelTensor(torch.tensor([[-1, -0.5]]), ["x", "y"])
+    domain = Exclusion(
+        [
+            CartesianDomain({"x": [0, 2], "y": [0, 2]}),
+            CartesianDomain({"x": [1, 3], "y": [1, 3]}),
+        ]
+    )
+    assert domain.is_inside(pt_1) == True
+    assert domain.is_inside(pt_2) == False
+
+
+def test_is_inside_two_3DCartesianDomain():
+    pt_1 = LabelTensor(torch.tensor([[0.5, 0.5, 0.5]]), ["x", "y", "z"])
+    pt_2 = LabelTensor(torch.tensor([[-1, -0.5, -0.5]]), ["x", "y", "z"])
+    domain = Exclusion(
+        [
+            CartesianDomain({"x": [0, 2], "y": [0, 2], "z": [0, 2]}),
+            CartesianDomain({"x": [1, 3], "y": [1, 3], "z": [1, 3]}),
+        ]
+    )
+    assert domain.is_inside(pt_1) == True
+    assert domain.is_inside(pt_2) == False
+
+
+def test_sample():
+    n = 100
+    domain = Exclusion(
+        [
+            EllipsoidDomain({"x": [-1, 1], "y": [-1, 1]}),
+            CartesianDomain({"x": [0.3, 1.5], "y": [0.3, 1.5]}),
+        ]
+    )
+    pts = domain.sample(n)
+    assert isinstance(pts, LabelTensor)
+    assert pts.shape[0] == n
+
+    n = 105
+    pts = domain.sample(n)
+    assert isinstance(pts, LabelTensor)
+    assert pts.shape[0] == n