add Cython profiling option for later use (currently not working)

src/dopt_sensor_anomalies/detection.py

@@ -74,7 +74,7 @@ def measure_length(
 
     cnts = cv2.findContours(edged.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
     cnts = imutils.grab_contours(cnts)
-    if cnts is None:
+    if cnts is None:  # pragma: no cover
         raise errors.ContourCalculationError(
             "No contours were found in the provided image. Can not continue analysis."
         )
@@ -82,7 +82,7 @@ def measure_length(
     cnts, _ = contours.sort_contours(cnts)
     x_coords = [cv2.boundingRect(c)[0] for c in cnts]
     is_sorted = np.all(x1 <= x2 for x1, x2 in zip(x_coords, x_coords[1:]))  # type: ignore
-    if not is_sorted:
+    if not is_sorted:  # pragma: no cover
         raise errors.ContourCalculationError(
             "Contour detection not valid: contours are not "
             "properly sorted from left to right."
@@ -128,13 +128,13 @@ def measure_length(
             ]
         )
 
-    if not filtered_cnts:
+    if not filtered_cnts:  # pragma: no cover
         raise errors.ContourCalculationError(
             "Contour detection not valid: no contours recognized"
         )
 
     num_contours = len(filtered_cnts)
-    if num_contours != const.NUM_VALID_ELECTRODES:
+    if num_contours != const.NUM_VALID_ELECTRODES:  # pragma: no cover
         raise errors.InvalidElectrodeCount(
             f"Number of counted electrodes does not match the "
             f"expected value: count = {num_contours}, expected = {const.NUM_VALID_ELECTRODES}"