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Compute a weighted aggregate-index value per x-point.
The index represents how close the scales are to their respective targets (1.0 = perfect, 0.0 = worst observed).
scale_data (dict[str, dict[int, float]]) – {scale_name: {x_point: value}}
all_points (list[int]) – sorted list of x-axis keys
scale_targets (dict[str, dict[str, Any]]) – output of parse_scale_targets()
parse_scale_targets()
index_value}
{x_point