fix coverage

model_compression_toolkit/core/common/mixed_precision/resource_utilization_tools/resource_utilization_calculator.py

@@ -474,12 +474,12 @@ def compute_node_bops(self,
             Node's BOPS count.
         """
         node_mac = self.fw_impl.get_node_mac_operations(n, self.fw_info)
-        if node_mac == 0:
+        if node_mac == 0:    # pragma: no cover
             return node_mac
 
         incoming_edges = self.graph.incoming_edges(n, sort_by_attr=EDGE_SINK_INDEX)
         # TODO temporary adding this for const_representation test in torch which has Linear with const input
-        if not incoming_edges:
+        if not incoming_edges:    # pragma: no cover
             return 0
         assert len(incoming_edges) == 1, \
             f'Unexpected number of inputs {len(incoming_edges)} for BOPS calculation. Expected 1.'

tests_pytest/common/core/common/mixed_precision/resource_utilization_tools/test_resource_utilization_calculator.py

@@ -157,6 +157,10 @@ def test_operations(self):
         assert max(u) == u[0]
         assert min(u) == u[2]
 
+    def test_invalid_radd(self):
+        with pytest.raises(ValueError, match='radd is only supported with 0'):
+            1 + Utilization(5, 5)
+
 
 class TestComputeResurceUtilization:
     """ Test compute_resource_utilization public api. """
@@ -438,7 +442,7 @@ def test_compute_act_tensors_utilization(self, fw_impl_mock, fw_info_mock):
     def test_compute_act_tensors_utilization_errors(self, graph_mock, fw_impl_mock, fw_info_mock, bitmode):
         ru_calc = ResourceUtilizationCalculator(graph_mock, fw_impl_mock, fw_info_mock)
         with pytest.raises(ValueError, match=ResourceUtilizationCalculator.unexpected_qc_error):
-            ru_calc.compute_node_activation_tensor_utilization(build_node(), TIC.Any, bitmode, qc=build_qc())
+            ru_calc.compute_activation_tensors_utilization(TIC.Any, bitmode, act_qcs=Mock())
 
 
 class TestActivationMaxCutUtilization: