fix numerical accuracy in adapter test for simple transforms

Author: LarsKue

tests/test_adapters/test_adapters.py

@@ -97,17 +97,16 @@ def test_simple_transforms(random_data):
 
     result = ad(random_data)
 
-    assert np.array_equal(result["p2"], np.log(random_data["p2"]))
-    assert np.array_equal(result["t2"], np.log(random_data["t2"]))
-    assert np.array_equal(result["t1"], np.log1p(random_data["t1"]))
-    assert np.array_equal(result["p1"], np.sqrt(random_data["p1"]))
+    assert np.allclose(result["p2"], np.log(random_data["p2"]))
+    assert np.allclose(result["t2"], np.log(random_data["t2"]))
+    assert np.allclose(result["t1"], np.log1p(random_data["t1"]))
+    assert np.allclose(result["p1"], np.sqrt(random_data["p1"]))
 
     # inverse results should match the original input
     inverse = ad(result, inverse=True)
 
-    assert np.array_equal(inverse["p2"], random_data["p2"])
-    assert np.array_equal(inverse["t2"], random_data["t2"])
-    assert np.array_equal(inverse["t1"], random_data["t1"])
+    assert np.allclose(inverse["p2"], random_data["p2"])
+    assert np.allclose(inverse["t2"], random_data["t2"])
+    assert np.allclose(inverse["t1"], random_data["t1"])
 
-    # numerical inaccuracies prevent np.array_equal to work here
     assert np.allclose(inverse["p1"], random_data["p1"])