Method _calculate_complexity_bin

data/database.py:908–933

Calculate the bin index for a given complexity value using feature scaling. Args: complexity: The complexity value (code length) Returns: Bin index in range [0, self.feature_bins - 1]

(self, complexity: int)

        return coords

    def _calculate_complexity_bin(self, complexity: int) -> int:
        """
        Calculate the bin index for a given complexity value using feature scaling.

        Args:
            complexity: The complexity value (code length)

        Returns:
            Bin index in range [0, self.feature_bins - 1]
        """
        # Update feature statistics
        self._update_feature_stats("complexity", float(complexity))

        # Scale the value using configured method
        scaled_value = self._scale_feature_value("complexity", float(complexity))

        # Get number of bins for this dimension
        num_bins = self.feature_bins_per_dim.get("complexity", self.feature_bins)

        # Convert to bin index
        bin_idx = int(scaled_value * num_bins)

        # Ensure bin index is within valid range
        bin_idx = max(0, min(num_bins - 1, bin_idx))

        return bin_idx

    def _calculate_diversity_bin(self, diversity: float) -> int:
        """