Change inputs and outputs

nifty4/operators/linear_operator.py

@@ -164,16 +164,19 @@ class LinearOperator(with_metaclass(
             raise ValueError("The operator's and and field's domains "
                              "don't match.")
 
-    def test_adjointness(self, domain_dtype=np.float64, target_dtype=np.float64):
+    def test_adjointness(self, domain_dtype=np.float64, target_dtype=np.float64, atol=0, rtol=1e-7):
         f1 = Field.from_random("normal", domain=self.domain,
                                dtype=domain_dtype)
         f2 = Field.from_random("normal", domain=self.target,
                                dtype=target_dtype)
         res1 = f1.vdot(self.adjoint_times(f2))
         res2 = self.times(f1).vdot(f2)
+        np.testing.assert_allclose(res1, res2, atol=atol, rtol=rtol)
+
+        # Return relative error
         return (res1 - res2) / (res1 + res2) * 2
 
-    def test_inverse(self, dtype_domain=np.float64, dtype_target=np.float64):
+    def test_inverse(self, dtype_domain=np.float64, dtype_target=np.float64, atol=0, rtol=1e-7):
         foo = Field.from_random(
             domain=self.target, random_type='normal', dtype=dtype_target)
         bar = self.times(self.inverse_times(foo)).val
@@ -181,7 +184,11 @@ class LinearOperator(with_metaclass(
 
         foo = Field.from_random(
             domain=self.domain, random_type='normal', dtype=dtype_domain)
-        bar = self.inverse_times(self.times(foo)).val
-        np.testing.assert_allclose(bar, Field.ones(self.domain).val)
 
-        return True
+        res1 = self.inverse_times(self.times(foo)).val
+        res2 = Field.ones(self.domain).val
+
+        np.testing.assert_allclose(res1, res2, atol=atol, rtol=rtol)
+
+        # Return relative error
+        return (res1 - res2) / (res1 + res2) * 2