🔧 Adjust codecov config (#173)

.github/codecov.yml

@@ -1,5 +1,5 @@
 ignore:
-  - "predictor/*"
+  - "tests/*"
 
 coverage:
   range: 60..90

src/mqt/predictor/Calibration.py

@@ -25,14 +25,14 @@ def __init__(self) -> None:
             self.ionq_harmony_calibration = parse_simple_calibration_config("ionq_harmony")
             self.ionq_aria1_calibration = parse_simple_calibration_config("ionq_aria1")
             self.quantinuum_h2_calibration = parse_simple_calibration_config("quantinuum_h2")
-            self.ibm_washington_cx_mean_error = get_mean_IBM_washington_cx_error()
-            self.ibm_montreal_cx_mean_error = get_mean_IBM_montreal_cx_error()
+            self.ibm_washington_cx_mean_error = get_mean_ibm_washington_cx_error()
+            self.ibm_montreal_cx_mean_error = get_mean_ibm_montreal_cx_error()
 
         except Exception as e:
             raise RuntimeError("Error in Calibration initialization: " + str(e)) from e
 
 
-def get_mean_IBM_washington_cx_error() -> float:
+def get_mean_ibm_washington_cx_error() -> float:
     """Returns the mean cx error for the IBM Washington device."""
     cmap: list[list[int]] = FakeWashington().configuration().coupling_map
     backend = FakeWashington().properties()
@@ -43,7 +43,7 @@ def get_mean_IBM_washington_cx_error() -> float:
     return cast(float, np.mean(res))
 
 
-def get_mean_IBM_montreal_cx_error() -> float:
+def get_mean_ibm_montreal_cx_error() -> float:
     """Returns the mean cx error for the IBM Washington device."""
     cmap: list[list[int]] = FakeMontreal().configuration().coupling_map
     backend = FakeMontreal().properties()