import type { SingleDeserializerOutput } from '../../../type/DeserializerOutput/SingleDeserializerOutput/SingleDeserializerOutput.js';
import { AbstractEyeDeserializer } from './AbstractEyeDeserializer.ts';
/**
 * Deserializer for Tobii eyetracking files.
 * @extends AbstractEyeDeserializer
 * @category Eye
 * @subcategory Deserializer
 * @member cAoiInfo - Array of objects containing information about AOI columns. It's being iterated over to find active AOIs, so Array > Map here.
 * @member cRecordingTimestamp - Index of the Recording timestamp column.
 * @member cStimulus - Index of the Presented Stimulus name column.
 * @member cParticipant - Index of the Participant name column.
 * @member cRecording - Index of the Recording name column.
 * @member cCategory - Index of the Eye movement type column.
 * @member cEvent - Index of the Event column.
 * @member cEyeMovementTypeIndex - Index of the Eye movement type index column.
 * @member mStimulus - Current stimulus name.
 * @member mParticipant - Current participant name.
 * @member mRecordingStart - Current recording start timestamp.
 * @member mEyeMovementTypeIndex - Current eye movement type index.
 * @member mRecordingLast - Current recording last timestamp.
 * @member mCategory - Current eye movement type.
 * @member mAoi - Current AOIs.
 * @member mBaseTime - Current base time.
 * @member stimuliRevisit - Object containing information about revisited stimuli.
 * @member stimulusGetter - Function that returns the stimulus name, either from the Presented Stimulus name column or from the Event column.
 */
export declare class TobiiEyeDeserializer extends AbstractEyeDeserializer {
    cAoiInfo: Array<{
        columnPosition: number;
        aoiName: string;
        stimulusName: string;
    }>;
    cRecordingTimestamp: number;
    cStimulus: number;
    cParticipant: number;
    cRecording: number;
    cCategory: number;
    cEvent: number;
    cEyeMovementTypeIndex: number;
    mStimulus: string;
    mParticipant: string;
    mRecordingStart: string;
    mEyeMovementTypeIndex: string;
    mRecordingLast: string;
    mCategory: string;
    mAoi: string[] | null;
    mBaseTime: string;
    stimulusGetter: (row: string[]) => string;
    stimuliBaseTimes: Map<string, string>;
    static readonly TYPE = "tobii";
    static readonly TIME_MODIFIER = 0.001;
    /**
     * @group Initialization
     * @description Initializes the deserializer with headers and user input.
     * @param {string[]} header - Array of header names.
     * @param {string} userInput - User-defined input for interval markers.
     */
    constructor(header: string[], userInput: string);
    /**
     * @group Initialization
     * @description Creates a dictionary of stimuli from the header. Specifically, it looks for columns starting with 'AOI hit [STIMULUS_NAME' and extracts the stimulus name.
     * @param {string[]} header - Array of header names.
     * @returns {string[]} Array of unique stimuli names based on AOI hit columns.
     */
    constructStimuliDictionary(header: string[]): string[];
    /**
     * @group Initialization
     * @description Creates an array of objects containing information about AOI columns.
     * @param {string[]} header - Array of header names.
     * @param {string[]} stimuliDictionary - Array of unique stimuli names based on AOI hit columns.
     * @returns {Array<{ columnPosition: number; aoiName: string; stimulusName: string }>} Array of objects containing information about AOI columns.
     * @example [{ columnPosition: 5, aoiName: 'AOI_1', stimulusName: 'Stimulus_1' }]
     */
    constructAoiMapping(header: string[], stimuliDictionary: string[]): Array<{
        columnPosition: number;
        aoiName: string;
        stimulusName: string;
    }>;
    /**
     * @group StimulusGetterInitialization
     * @description Creates a function that returns the stimulus name from the Presented Stimulus name column.
     * @returns {(row: string[]) => string} Function that returns the stimulus name from the Presented Stimulus name column.
     * @example (row: string[]) => row[5]
     */
    constructBaseStimulusGetter(): (row: string[]) => string;
    /**
     * @group StimulusGetterInitialization
     * @description Creates a function that returns the stimulus name based on interval information in the Event column.
     * @param {string} userInput - User-defined input for interval markers.
     * @returns {(row: string[]) => string} Function that returns the stimulus name based on the Event column.
     */
    constructIntervalStimulusGetter(userInput: string): (row: string[]) => string;
    /**
     * @group StimulusGetterInitialization
     * @description Extracts interval markers from user input to be used in the Event column for stimulus name extraction.
     * @param {string} userInput - User-defined input for interval markers.
     * @returns {{ startMarker: string; endMarker: string }} Object containing start and end interval markers.
     * @example { startMarker: ' IntervalStart', endMarker: ' IntervalEnd' }
     * @throws {Error} Throws an error if the user input does not contain exactly two interval markers.
     */
    constructIntervalMarkers(userInput: string): {
        startMarker: string;
        endMarker: string;
    };
    /**
     * @group Deserialization
     * @description Deserializes a row of data.
     * @param {string[]} row - Row of data.
     * @returns {SingleDeserializerOutput | null} Deserialized data.
     * @example { stimulus: 'Stimulus_1', participant: 'Participant_1', start: '0', end: '1000', category: 'Fixation', aoi: ['AOI_1'] }
     */
    deserialize(row: string[]): SingleDeserializerOutput | null;
    /**
     * @group Deserialization
     * @description Deserializes a row of data that belongs to the same segment as the previous row. Always returns null. Saves the last timestamp of the segment to be used in case of a new segment in the next row.
     * @param {string[]} row - Row of data.
     * @returns {null} Always returns null.
     */
    deserializeSameSegment(row: string[]): null;
    /**
     * @group Deserialization
     * @description Deserializes a row of data that belongs to a new segment. Releases the previous segment and starts a new one.
     * @param {string[]} row - Row of data.
     * @returns {SingleDeserializerOutput | null} Deserialized data.
     * @example { stimulus: 'Stimulus_1', participant: 'Participant_1', start: '0', end: '1000', category: 'Fixation', aoi: ['AOI_1'] }
     */
    deserializeNewSegment(row: string[]): SingleDeserializerOutput | null;
    /**
     * @group Deserialization
     * @description Checks if a row is empty based on the Category column.
     * @param {string[]} row - Row of data.
     * @returns {boolean} True if the row is empty, false otherwise.
     */
    isEmptyRow: (row: string[]) => boolean;
    /**
     * @group Deserialization
     * @description Checks if a row is still part of the same segment as the previous row.
     * @param {string[]} row - Row of data.
     * @returns {boolean} True if the row is part of the same segment, false otherwise.
     */
    isSameSegment(row: string[]): boolean;
    /**
     * @group Deserialization
     * @description Finalizes the deserialization process. Releases the last segment. Used when there is no more data to deserialize.
     * @returns {SingleDeserializerOutput | null} Deserialized data.
     */
    finalize(): SingleDeserializerOutput | null;
    /**
     * @group Deserialization
     * @description Releases the last segment. Used either when there is no more data to deserialize or when a new segment is encountered.
     * @returns {SingleDeserializerOutput | null} Deserialized data.
     */
    getPreviousSegment(): SingleDeserializerOutput | null;
    /**
     * @group Deserialization
     * @description Extracts AOIs from a row of data. Iterates over the array of AOI information objects to find active AOIs.
     * @param {string[]} row - Row of data.
     * @returns {string[]} Array of AOIs.
     * @example ['AOI_1', 'AOI_2']
     */
    getAoisFromRow(row: string[]): string[];
}