Remove comments

src/dials/algorithms/correlation/analysis.py

@@ -147,12 +147,6 @@ def __init__(
         self.params.__inject__("lattice_symmetry_max_delta", 0.0)
         self.params.__inject__("best_monoclinic_beta", True)
 
-        # If dimensions are optimised for clustering, need cc_weights=sigma
-        # Otherwise results end up being nonsensical even for high-quality data
-        # Outlier rejection was also found to be beneficial for optimising clustering dimensionality
-        # if self.params.dimensions is Auto and self.params.cc_weights != "sigma":
-        #    raise ValueError("To optimise dimensions, cc_weights=sigma is required.")
-
         self.cosym_analysis = CosymAnalysis(self.datasets, self.params)
 
     def _merge_intensities(self, datasets: list) -> list: