import type { DeserializerOutputType } from '../../../type/DeserializerOutput/DeserializerOutputType.ts';
import { AbstractEyeDeserializer } from './AbstractEyeDeserializer.ts';
/**
 * This class is used to deserialize eye data from a CSV file which contains segments.
 * That means it has information about the start and end of each segment.
 */
export declare class CsvSegmentedEyeDeserializer extends AbstractEyeDeserializer {
    cFrom: number;
    cTo: number;
    cParticipant: number;
    cStimulus: number;
    cAoi: number;
    constructor(header: string[]);
    /**
     * Deserializes a single row from a CSV file into a DeserializerOutputType object.
     * This function checks the validity of required fields in the row. It does not store
     * any data in memory beyond the scope of this function.
     *
     * Note: This deserializer assumes all constants represent fixations, which may be subject to change.
     *
     * @param {string[]} row - An array representing a single row from the CSV file.
     *                         Expected to contain values for 'from', 'to', 'aoi', 'participant', and 'stimulus'.
     * @returns {DeserializerOutputType | null} - Returns an object containing deserialized data
     *                                            if the row is valid. If any required field ('from', 'to',
     *                                            'participant', 'stimulus') is empty, returns null.
     */
    deserialize(row: string[]): DeserializerOutputType;
    /**
     * @returns null because this deserializer does not need to finalize anything
     */
    finalize(): DeserializerOutputType;
}