import type { RevizTextDatum } from './attributes';
/**
 * inferMarkType determines the core mark type of the visualization.
 *
 * @param markTypes – the array of nodeNames encountered walking the SVG subtree.
 * @returns – the core mark type of the visualization, either 'rect' or 'circle'.
 */
export declare const inferMarkType: (markTypes: string[]) => 'circle' | 'rect';
/**
 * inferXScaleType determines the type of the xAxis scale, either discrete or continuous.
 * The algorithm works by grouping all text elements by their y position and finding
 * the group that has the greatest length. Since xAxis values are likely to have identical
 * y positions in most visualizations, we make the assumption that the group with the
 * greatest length pertains to the xAxis values. We then use the same heuristic as Plot to
 * deduce 'continuous' vs. 'discrete' scale types:
 *
 * - Numeric values pertain to a continuous scale
 * - All other values are considered discrete scales
 *
 * We intentionally don't have support for continuous date ranges yet, because we do not
 * support chart types (mainly line charts) that would use this scale type.
 *
 * @param textAttrs - the array of normalized RevizTextDatum elements.
 * @returns - the scale type of the x axis, either 'continuous' or 'discrete'.
 */
export declare const inferXScaleType: (textAttrs: RevizTextDatum[]) => 'continuous' | 'discrete';
export interface VizMetaAttrs {
    markType: 'circle' | 'rect';
    xScaleType: 'continuous' | 'discrete';
}
export declare const inferVizMetaAttrs: ({ markTypes, textAttrs, }: {
    markTypes: string[];
    textAttrs: RevizTextDatum[];
}) => VizMetaAttrs;