Comment-out unused code for idx_arrays in GenericCheckerboardCopula t…

…o satisfy lint ruff requirements.

discopula/checkerboard/gencopula.py

@@ -181,7 +181,7 @@ def calculate_CCRAM(self, from_axes, to_axis, is_scaled=False):
         joint_prob = np.prod(mesh, axis=0)
 
         # Calculate regression values for each combination
-        idx_arrays = [range(self.P.shape[axis]) for axis in from_axes]
+        # idx_arrays = [range(self.P.shape[axis]) for axis in from_axes]
         weighted_expectation = 0.0
 
         for idx in np.ndindex(*[len(p) for p in probs]):